71results about How to "Maintain consistency" patented technology

The invention discloses a user track privacy protection method and system fusing a generative model and three-stage personalized differential privacy, and relates to the technical field of data security, and the method comprises the steps: obtaining real user track data, and carrying out the preprocessing of the real user track data to form standardized track representation; training a depth generation model to generate synthetic trajectory data; performing density clustering on the synthetic trajectory to obtain a feature region and calculating a region centroid; point-level privacy budgets are distributed according to three stages of the area proportion, the centroid distance and the global density; constructing an adaptive elliptical disturbance domain based on the regional covariance, sampling candidate confusion points in the disturbance domain and applying road feasibility screening; and calculating a score based on the privacy budget and the utility function, and sampling replacement points by adopting an index mechanism to output a privacy protection trajectory. According to the technical scheme, the track structure continuity and the road semantic consistency are remarkably improved under the condition that the differential privacy constraint is met, and the privacy intensity and the data availability are both considered.

The invention discloses a cold-chain pork quality dynamic evaluation method and system based on multi-source data fusion, and relates to the technical field of data processing and intelligent evaluation, and the method comprises the following steps: collecting multi-source signal information of a whole cold-chain transportation process, sorting according to a unified time sequence, continuously arranging all signals on a time axis, and carrying out data processing on all the signals; a complete dynamic record is formed; and extracting each time interval and signal amplitude change track from the formed dynamic record, analyzing a signal section with repeated wave crests in a short time, and generating a preliminary data manuscript for reflection interference judgment. According to the invention, through time sequence arrangement and dynamic association of multi-source signals, a wave crest track analysis mechanism is constructed, real-time identification and correction of reflection interference are realized, and continuity and accuracy of a gas concentration curve are ensured; and by generating a reflection source position list and adjusting numerical value distribution of repeated fragments, false fluctuation is eliminated, and the stability and reliability of cold-chain pork quality evaluation are improved.

The invention discloses a printing method, device and equipment for any-fold ink quantity output and a storage medium, and relates to the technical field of ink-jet printing. The method comprises the steps that the reciprocating scanning frequency, initial stepping information and ink amount adjusting information of a to-be-printed task are obtained; actual printing stepping information is obtained according to the reciprocating scanning times and the ink amount adjusting information; processing the to-be-printed data corresponding to each type of to-be-adjusted ink according to the reciprocating scanning times and the ink amount adjustment multiple to obtain actual printing data; and controlling a printing nozzle and a printing medium to move relative to each other according to the actual printing stepping information, and performing ink jetting in the moving process according to the actual printing data. The technical problem that an existing printing method cannot conveniently and accurately output the doubled ink amount with any multiple can be solved.

The utility model provides a kind of machining center contact type mechanical tool changing structure, it is related to mechanical tool changing structure technical field, including stand mechanism, the front of the stand mechanism is equipped with main shaft box, the front of the stand mechanism is close to top end place, and punch arm mechanism is installed in the inside of main shaft box, the stand mechanism includes stand main body, the top end of the stand main body is equipped with motor with output end towards bottom, the front of the stand main body is close to top end place and is equipped with punch block, the inside of main shaft box is close to the front place and is equipped with main shaft body, the top end of the main shaft box is close to left side place and is screw-connected with first fastening screw, the periphery of the first fastening screw is equipped with tension spring, the top end of the main shaft box is close to the front place and is screw-connected with second fastening screw, mechanical quick tool changing can be realized, additional transmission device is not needed, with the advantages, such as quick tool changing efficiency, small size, cost saving.

The present application relates to the technical field of agricultural internet of things, in particular to a crop straw carbonization system based on internet of things, which comprises a temperature distribution regulation module, a carbonization process analysis module, a quality prediction optimization module, a dynamic calibration module and a safe storage management module.In the present application, the internal thermal field distribution of the carbonization equipment is accurately identified and divided in multiple levels, the heating law of the straw is dynamically analyzed, the heat transfer rate and distribution density are optimized, the energy efficiency and the uniformity of the carbonization reaction are improved, the energy efficiency optimization and product quality improvement are realized based on the distribution law of the pyrolysis products and energy consumption data, the quality stability and consistency of the biochar are maintained through dynamic prediction and offset correction, the operation error is automatically repaired by the real-time calibration mechanism, the carbonization process is maintained in the optimal state for a long time, the data security partitioning and traceability are realized by combining the encrypted data storage path, and the intelligence, energy efficiency control, uniformity and data security and reliability of the carbonization system are comprehensively improved.

This invention proposes a psychological diagnosis and treatment dialogue method based on dynamic knowledge evolution and adaptive retrieval, belonging to the fields of natural language processing and intelligent medical technology. The method includes constructing a psychological counseling generation model, an urgency prediction module, and a background process auxiliary model; initializing a patient knowledge base; sending the patient's current dialogue input to the background process auxiliary model to extract key information and determine whether retrieval is needed; if no retrieval is needed, the psychological counseling generation model generates a response, and the current dialogue ends; otherwise, the retrieval yields a set of candidate structured memory units, which are adaptively reordered to obtain context information; the context information is concatenated with the current dialogue input and sent to the psychological counseling generation model to generate a therapeutic response conforming to psychological counseling standards; and the knowledge base undergoes dynamic evolution and incremental updates. This invention overcomes the limitations of the traditional "static profile" of dialogue systems, achieving long-term continuity and dynamic adaptability of diagnostic and treatment memory.

The utility model discloses arc-shaped metal pipeline high-precision manufacturing equipment, and belongs to the technical field of pipeline prices.The arc-shaped metal pipeline high-precision manufacturing equipment comprises a plurality of supports, operation tables are fixedly installed at the tops of the supports, a plurality of rotating rollers are rotationally connected into the operation tables, transmission mechanisms are connected between the rotating rollers, and transverse plates are fixedly installed between two operation tables; a double-head motor is fixedly mounted at the top of the transverse plate, screw rods are fixedly mounted at two output ends of the double-head motor, adjusting blocks are in threaded connection with the outer surfaces of the two screw rods, connecting blocks are fixedly mounted at the top ends of the adjusting blocks, the transverse plate is fixedly mounted at the top ends of the connecting blocks, and a plurality of groups of branch rods are fixedly mounted at the top end of the transverse plate; lantern rings are fixedly mounted at the top ends of the multiple sets of branch rods, and the lantern rings are connected with the rotating rollers in a sleeving manner; according to the conveying device, metal pipelines with different pipe diameters can be limited during conveying, the stability and consistency of the pipelines can be kept during hot bending operation, and the machining precision can be improved.

The invention discloses a complex weather small target detection system based on multi-scale image enhancement and dynamic domain adaptation, and the system comprises an LMIENet image enhancement module, an SC2f deformable convolution feature extraction module, and a DDA dynamic domain adaptation module, and the detection method of the detection system comprises the following steps: a, collecting a plurality of types of weather scene images, and constructing an original image data set; b, data cleaning and refined labeling; c, performing image enhancement preprocessing; d, dividing a structured data set; e, training and calibrating an LMIENet image enhancement module; f, constructing a detection network integrated with deformable convolution; g, introducing joint training adapted to a dynamic domain; h, pipeline construction and end-to-end optimization; and i, system performance verification. According to the method, multi-scale feature fusion, complex weather preprocessing and dynamic domain self-adaption are integrated, and the detection precision and robustness of the small target under the complex weather condition can be effectively improved.

The invention belongs to the technical field of medicines, and particularly relates to a crystal form VIII of an sGC agonist as well as a preparation method and application of the crystal form VIII. The crystal form VIII of the sGC agonist is the crystal form VIII of the compound I. The X-ray powder diffraction pattern of the crystal form VIII, which is represented by a diffraction angle of 2 theta + / -0.2 degrees, has diffraction peaks at the positions of 8.8902 degrees, 9.818 degrees, 15.9516 degrees, 16.5412 degrees, 17.851 degrees, 19.5499 degrees, 20.0096 degrees, 21.4687 degrees, 24.3685 degrees and 25.3691 degrees. The crystal form VIII of the sGC agonist LXH-1211 provided by the invention provides a technical guarantee for subsequent research and development of drugs and maintenance of consistency of pharmacokinetic and pharmacokinetic properties of the drugs, and also can provide a technical support for subsequent industrial production of drugs with specific crystal forms.

The invention discloses an asynchronous federated continuous learning method for a large model, which belongs to the field of federated learning and continuous learning, is applied to a client, and comprises the following steps: receiving an initial model parameter of a global model issued by a server and a global feature extraction module, and performing feature representation on local service task data based on the module, constructing a corresponding feature prototype and a feature covariance statistic; uploading the feature prototype and the feature covariance statistics to a server in an asynchronous mode to perform asynchronous federal fusion, and updating global feature statistics; and receiving the global feature statistics after the server fuses and updates, wherein the global feature statistics are used for local decision modeling of subsequent tasks. Through the asynchronous federal aggregation strategy, incremental feature knowledge from different financial institutions and different task stages can be continuously integrated, the problem of historical knowledge forgetting is effectively relieved, and the stability and consistency of global feature representation in the long term evolution process are kept.

The utility model relates to the technical field of business management tools, and discloses a business management drawing ruler which comprises a main ruler, a first shaft body is arranged in one end of the main ruler, an auxiliary ruler is rotatably connected to the surface of the first shaft body and located above the main ruler, a dial is fixed to one end of the first shaft body, and a second shaft body is fixed to the other end of the first shaft body. A base is fixed to the top of the dial. According to the business administration drawing ruler, the dial and the angle pointer are arranged above the main ruler and the auxiliary ruler, the dial provides visual scales, the rotating degree can be more accurately controlled when the angle is adjusted, the angle pointer can indicate the current angle value, a user can conveniently check and confirm the angle value at any time, and the user experience is improved. Through the combined use of the dial and the angle pointer, errors generated when the angle is manually adjusted can be remarkably reduced, and the consistency and accuracy of drawing can be kept, especially in a scene where complex graphs are drawn or a high-precision requirement is needed.

The embodiment of the invention provides an information processing method and device, a readable storage medium and a program product, and the method comprises the steps: receiving the search input of a message in a first session; according to the search input, displaying a reply component and / or a search result, the reply component being used for displaying a reply result, the reply result being a generative content obtained according to at least one reference content, and the at least one reference content being determined based on one or more content sources including a first session message; the search result comprises content obtained by matching the search input serving as a keyword from the message of the first session.

The utility model belongs to the field of material conveying, and relates to a steel sleeve steel straight pipe section for pneumatic conveying of high-temperature materials. The straight pipe section is composed of an outer pipe, an inner pipe, a sealing filler base, a sealing filler gland, a gland bolt, a small-head sealing filler, an inner and outer pipe connecting plate, an inner and outer pipe connecting bolt, an inner and outer pipe connecting pad, a large-head sealing filler, a sealing filler pre-tightening spring, a heat insulation layer and a flange sealing assembly. The inner pipe is a reducer pipe, an inlet large end is in bolted connection with the outer pipe, and an outlet small end can be inserted into a connected pipe section large end. And a heat insulation layer is filled between the inner and outer pipes to reduce heat loss. Double sealing of the sealing filler is achieved through the pre-tightening spring and the gland bolt, and gas is prevented from entering. The design effectively solves the problems of thermal expansion and sealing of the pipeline in pneumatic conveying of high-temperature materials, and the conveying efficiency and safety are improved.

The application relates to the technical field of electric variable monitoring, and discloses a power quality monitoring method, equipment and medium, which comprises the following steps: collecting a power grid voltage waveform and extracting a phase, generating a frequency fingerprint based on a phase increment sequence, taming a PI structure of a local real-time clock and performing group synchronization; executing a variable sampling rate strategy according to a power frequency phase, and performing analysis after an event trigger; under the condition that there is no external standard source, using a voltage step or a transformer area voltage regulation switching in the operation of a power distribution system as a natural excitation, performing online identification and updating on the gain and bias of a metering link; decoupling transmission of a steady-state index as a state flow and an event reconstruction waveform as an event flow, and using recoverable ordered fragmentation of the event flow to perform encapsulation and recombination. The application forms systematic improvement in time reliability, event integrity, index accuracy and transmission recoverability, and is suitable for continuous monitoring and operation and maintenance of power quality of a power distribution network.

The application discloses an infrared image non-uniformity prediction and correction method based on wavelet transform, which comprises the following steps: adopting double-density dual-tree complex wavelet transform to perform multi-scale decomposition on an input infrared image; in a high-frequency subband, detecting a blind element position based on a local variance statistical method; in a low-frequency subband, constructing an autoregressive model, predicting non-uniformity of a background region, and performing accurate processing on a prediction result; combining the prediction results of the high-frequency subband and the low-frequency subband to generate a pre-correction coefficient; and adopting the pre-correction coefficient to perform correction processing on an original infrared image to obtain a corrected image. Through the combination of an adaptive fusion strategy, space-time consistency constraint and dynamic gain and bias updating technology, the problems of non-uniformity noise, balance between details and background, device drift compensation and consistency in a dynamic scene in infrared image processing are solved, and the accuracy and stability of infrared image processing are significantly improved.

The method for sensing the temperature of urban solid waste incinerators based on a self-attention hybrid ensemble network belongs to the field of industrial process modeling and intelligent sensing. This method addresses the highly nonlinear, multi-condition variations, and complex physical-chemical reaction mechanisms in the MSWI process. Combining an ensemble learning framework and improved neural network structure, it introduces moving block bootstrap (MBB) sampling based on maximum likelihood estimation (MLE), a self-attention mechanism, and a hybrid ensemble strategy fusing AdaBoost and Bagging to achieve accurate modeling and dynamic prediction of the Fourier transform (FT). This results in good modeling accuracy, generalization ability, and engineering adaptability. Experimental verification under multiple benchmark problems and actual MSWI conditions demonstrates that the proposed FT sensing method exhibits superior performance in both prediction accuracy and robustness, possessing significant engineering application potential and widespread value.

This invention relates to the field of cloud databases and discloses a method for incremental synchronization of health data based on an intelligent cloud database. The method includes: collecting change data from multiple health data sources and generating candidate incremental records; matching the candidate incremental records with individual identifiers, event identifiers, data domain identifiers, and event time windows according to the health master index mapping rules to construct health event synchronization units; determining the target synchronization granularity based on the category of changed fields, and determining release conditions by combining the arrival status of the master record, the arrival status of the result record, the arrival status of the audit record, the arrival status of the signature record, and the authorization status; generating a structured incremental synchronization view for the corresponding target end and writing it to the intelligent cloud database when the release conditions are met; and performing compensation processing based on the synchronization unit identifier, the previous version identifier, and the synchronization level of the target end when supplementation, correction, revocation, authorization withdrawal, or health master index merging is detected.

The application discloses an electromagnetic point reading pen positioning method based on image recognition, and comprises the following steps: S1, collecting a textbook page image, combining an improved SuperPoint model and a time sequence processing unit to complete feature extraction, alignment, difference calculation and learnable parameter optimization of a key point set and a descriptor vector; S2, generating a layout template; S3, extracting and screening the key point set to generate current frame feature data containing two-dimensional coordinates, confidence and a normalized descriptor; S4, generating visual registration parameters; S5, combining the visual registration result to compare and update initial electromagnetic prior registration parameters, and outputting effective registration parameters of a current operation cycle; and S6, generating a positioning coordinate sequence and updating visual registration prior parameters. The application can realize high-precision and low-drift page positioning under different paper materials, illumination conditions and long-time use conditions, and is suitable for intelligent point reading, interactive teaching and high-precision paper surface interaction scenes.

This invention discloses a blockchain editing method, system, and storage medium based on cross-chain consensus, relating to the field of blockchain technology. The method includes: transmitting an editing proposal submitted by any participant in a first chain to other participants; in response to the received editing proposal, other participants conduct a cross-chain vote on the editing proposal, and a verification institution records the cross-chain voting results; the verification institution verifies the cross-chain voting results and grants editing permissions to a cross-chain management institution based on the cross-chain voting results; in response to the granted editing permissions, the cross-chain management institution edits the target block to obtain the editing result; the cross-chain management institution synchronizes the editing result to all participants; and in response to the editing result, all participants confirm the editing result. Compared to existing technologies, this invention designs a cross-chain protocol with an editability mechanism to ensure that all participants reach consensus on the edited block, maintaining the consistency and stability of the cross-chain network.

The application discloses a scenic spot real scene three-dimensional digital twin dynamic construction method, and relates to the technical field of three-dimensional scene reconstruction and digital twin. The method comprises the following steps: constructing a global initial three-dimensional Gaussian sputtering scene representation of a scenic spot; constructing a difference perception state anchor point comprising a state coding vector, a spatial context descriptor and a semantic signature for each Gaussian cell; when a physical change occurs in a target area, collecting sparse multi-view new images and obtaining camera poses, generating an expected image using the current scene representation and calculating a state deviation score to determine a suspected change area; screening real change cells based on the difference perception state anchor point in the three-dimensional Gaussian sputtering representation space; taking original cell parameters as optimization prior values, performing local incremental optimization on a change core area and a boundary transition zone under a layered space mask, and performing boundary consistency fusion and model updating after optimization is completed. The application realizes incremental updating of a digital twin model when a local change occurs in a scenic spot.

The utility model discloses a discharging device for nodular cast iron pipe production, and relates to the technical field of nodular cast iron pipes, the discharging device comprises a shell, a cutting mechanism is arranged in the shell, an adjusting mechanism is arranged in the shell, and the cutting mechanism comprises a fixing body. A first belt pulley drives a second belt pulley to rotate through a belt, then the second belt pulley drives a threaded rod to rotate, then rotation of the threaded rod enables a moving plate to move towards the iron pipe, then the moving plate drives a push plate to move together, and the first belt pulley is driven to rotate through a bidirectional threaded rod; and then a first belt pulley drives a push plate to move in the direction of the iron pipe through transmission, then the push plate pushes the iron pipe through springback of a spring, and the effects that the iron pipe can be automatically discharged after being cut, the accuracy of the discharging amount, the discharging speed and the discharging direction can be ensured, and the consistency and the quality of products can be easily kept are achieved.

The invention discloses a simulation court intelligent agent construction method based on a knowledge graph and a large language model, particularly relates to the field of artificial intelligence simulation courts, and is used for solving the problems that in an existing simulation court system, multi-role collaboration is insufficient, the court hearing process is static, and legal reasoning and text generation are disjointed. According to the method, cognitive state vectors are constructed for agents such as plaintims, defendant, lawyers and judges in a simulated court, a court trial process is modeled into a time sequence diagram structure, dynamic influences of multi-party speaking are described based on a situation awareness mechanism, debate strategy selection and statement generation are carried out in combination with a decision benchmark on the basis, and the court trial process is established. And meanwhile, the generation process of the large language model is constrained by utilizing neural symbol reasoning and a static legal knowledge graph, and a court hearing evolution closed loop is formed through cognitive state updating, so that a multi-role and multi-round court hearing simulation process with legal logic consistency is realized.

The application discloses a welding head, a welding device and a welding system, and belongs to the technical field of ultrasonic welding. The welding head is used for welding cell tabs and comprises a welding head body having a working surface surrounding a rotating axis of the welding head. The working surface comprises a welding surface and a clearance surface connected with each other. The welding surface is in a circular arc shape, and the distance from the clearance surface to the rotating axis is smaller than the radius of the welding surface except for the end part. Through the arrangement of the welding surface and the clearance surface, the continuity and operation efficiency of ultrasonic pre-welding of the cell tab are improved, the process beat of the whole battery production line is improved, the proportion of the welding mark virtual welding area on the cell tab is reduced, and the welding quality is optimized.

This invention relates to the field of casting production equipment technology, and in particular to a fully automatic casting production equipment, including a conveying base, on which multiple aluminum alloy pot bottom molds are placed, and aluminum alloy pots are placed on the aluminum alloy pot bottom molds. A baffle is slidably fitted on a gantry frame, and a guide pipe is passed through and fixedly connected to the baffle. A gate removal mechanism is slidably fitted on a fixed frame, and a collecting seat is fixedly connected to one outer wall of the baffle. After the aluminum alloy pot is poured and the upper mold is removed, the removal plate is driven by a transmission mechanism to move back and forth, replacing manual removal. This reduces the opportunity for workers to come into contact with high-temperature castings, lowering the risk of burns and other safety hazards. Automated removal reduces the time spent on manual operation, making the casting process more efficient and improving production efficiency. At the same time, under the action of the transmission gear, the distance of the removal plate's progressive descent can be adjusted to maintain the consistency and precision of removal, avoiding unevenness caused by manual operation and ensuring the quality of the castings.

The utility model discloses a motorcycle front magnetorheological damper and motorcycle, including working cylinder, guider assembly, piston assembly, floating piston assembly, magnetorheological fluid, outer tube support assembly, ECU control unit and sensor, guider assembly, piston assembly and floating piston assembly are located in the inside of working cylinder, and piston assembly includes built -in solenoid and damping passage, and damping passage penetrates the upper and lower end of piston assembly, and magnetorheological fluid fills the working cavity between guider assembly and floating piston assembly, and, outer tube support assembly is at least partially coated in the outside of working cylinder, and is connected with guider assembly, and ECU control unit and solenoid electric connection are used for the signal adjustment input to solenoid's current according to sensor, like this through solenoid and the combination of magnetorheological fluid, ECU control unit can real -time regulation magnetic field intensity, change the viscosity of magnetorheological fluid to dynamic control damping force.

The invention relates to the technical field of image generation, and provides a high-resolution image generation method and system for accelerating a visual autoregression model. The high-resolution image generation method for accelerating the visual autoregression model comprises the following steps: reconstructing intermediate features containing rich semantic information by adopting a semantic construction module based on a to-be-processed text; based on the intermediate features, adopting a structure construction module to obtain high-dimensional features; based on the high-dimensional features, a fidelity refining module is adopted, text conditions are removed based on semantic independence, then random projection is utilized, a high-dimensional feature map is projected to a low-dimensional subspace, and low-dimensional features are obtained through forward calculation; and selecting a norm sampling part key row of the feature map from the middle features to serve as a filling row of the low-dimensional features, and directly filling the remaining feature map by using the middle features cached and up-sampled at the previous scale, synthesizing, and processing by a decoder to obtain a high-resolution image. According to the invention, efficient acceleration of the VAR model is realized.

The application discloses a contract compliance review method and system based on multi-agent cooperation, and relates to the technical field of intelligent review, comprising the following steps: collecting contract text and corresponding context information, establishing a continuous semantic trajectory in chronological order, which is used to provide a basic semantic reference for subsequent semantic analysis and compressed difference comparison; based on the continuous semantic trajectory, the change range of expression strength and responsibility expression is analyzed, semantic change points are extracted and a semantic difference anchor point list is generated, and the semantic change trend is recorded, which establishes a reference basis for semantic consistency detection of compressed content. Through multi-agent collaborative semantic analysis and dynamic compression adjustment, the application realizes semantic continuity and logical consistency of contract text in high-concurrent compressed transmission. Through semantic trajectory and anchor point tracking, the application avoids clause mismatch caused by compression aliasing, and realizes real-time semantic compensation by combining compressed deviation distribution and rhythmic compression, thereby guaranteeing stable, accurate and traceable review results.

This invention discloses a dynamic calibration method and system for riverbed roughness based on optimized inversion, relating to the fields of hydraulics and hydrological modeling technology. The method includes: acquiring measured water level, flow rate, and cross-sectional geometry data of a river section, assigning an initial roughness to the study cross-section; constructing a two-layer inversion architecture comprising an outer-layer roughness iteration and an inner-layer time-step progression; maintaining a fixed roughness in the inner-layer progression and performing a full-time-domain forward modeling solution based on the Saint-Venant equations; in the outer-layer iteration, extracting analytical sensitivity using cross-sectional geometric features, and performing weighted coupling processing based on the bivariate deviations of water level and flow rate to obtain a roughness correction and update the roughness until convergence conditions are met. This invention, through physically guided analytical correction and a two-layer architecture, maintains the physical consistency and numerical stability of the inversion process, improving the accuracy and convergence efficiency of roughness calibration under complex unsteady flow conditions.

The utility model belongs to the fish slice screening technical field, specifically is a kind of fish slice screening device, including base, four fixed rods are fixedly connected on the base, four fixed rods are cooperatively sleeved with movable plate, four springs are fixedly connected between the base and movable plate, and four springs are correspondingly sleeved on fixed rod, the top side of movable plate is fixedly connected with two fixed frames, two fixed frames are cooperatively fixedly connected with two support plates, two support plates are cooperatively rotatably installed with two rotating shafts, and two rotating shafts are respectively located at the two sides of support plate, and one support plate is installed with first motor;The utility model can realize the automatic detection and screening classification of fish slice weight when screening fish slice of different weight, can ensure that fish slice of different weight is transported into different collecting tank and is classified and collected, avoids the mixing or confusion caused by weight difference, which helps to maintain the uniformity and consistency of product, improves overall product quality.

This invention relates to the field of optoelectronic detection equipment, specifically an improved industrial optical fiber structure with adjustable transmission band and filtering function. To achieve the above objectives, the invention employs the following technical solution: it comprises an optical fiber head, a first optical fiber, a second optical fiber, a filtering component, and a third optical fiber; the first and second optical fibers are inserted into the optical fiber head from the left side to its left end face to form an optical path entrance; the second optical fiber continues to be inserted into the filtering component from the right; the third optical fiber is inserted into the filtering component from the right side and optically connected to the second optical fiber at the filter, completing the optical path transmission; by introducing a replaceable filter component into the optical fiber path, the optical fiber itself possesses filtering function, eliminating reliance on terminal equipment for band selection and significantly enhancing the flexibility of band selection; simultaneously, it achieves a glue-free, reusable connection method, improving maintenance efficiency and component reusability.