38285 results about "Fiber" patented technology

A cable trough for installing cables alongside a railway line or other right of way is described. The cable trough is constructed using longitudinally oriented reinforcing fibers coated with polymeric resin that generally aligns the reinforcing fibers with the length of the cable trough. One or more connector clips may be used to secure respective portions of the cable trough to one another. The cable trough is provided with a cover that may be removably secured to an elongate channel to protect the cables housed within the cable trough. Elbows, corners, tees, and other connectors may be provided to run the cable trough in any desired direction. A method of installing cables in a cable trough is also described.

Disclosed herein is an angular optical component retention and removal system that reduces the amount of space needed to accommodate fiber optic cables and enables optical components to be quickly and easily inserted, retained, and removed from an optical communications system. The optical component retention and removal system may include a single or plural angular retention sections that retain optical components in an angular orientation through a faceplate. The system may further include an insertion / retention mechanism that enables an optical component to be inserted and removed with a single hand. With the system, fiber optic cables extend at an angle from the optical components, requiring less clearance space in front of the faceplate for provision of the fiber optic cables.

The invention discloses a multi-sensing and data physical fusion frozen soil hot water force response test system and method, and the system integrates an ultra-weak fiber grating, an active heating fiber, a miniature dielectric constant sensor and an optical frequency domain reflection technology, and constructs a freezing process-oriented temperature, moisture, ice content and strain synchronous monitoring network; the method comprises the steps of constructing a multi-field fusion data set based on thermal disturbance lag correction, temperature-strain decoupling and a moisture-strain residual term compensation mechanism, and extracting key criterion characteristics of an ice lens growth rate, frost heaving force evolution and a shear deformation change rate; and in combination with a physical information neural network (PINN) embedded into a hot water force control equation, risk identification and grade judgment of the freezing abnormal behavior are realized. The method supports indoor heating and water pressure linkage adjustment, realizes a complete closed loop of multi-source sensing-risk identification-response verification under model driving, and breaks through the bottlenecks of low multi-physics field coupling identification precision, large parameter cross interference and insufficient risk identification real-time performance of the existing monitoring technology.

The invention discloses a composite board ultrasonic defect detection method which comprises the following steps: S1, fixing a carbon fiber circumferential winding composite pressure container on a bracket, and establishing a coordinate system with the axis of the container as a z axis; s2, a 40 MHz dry coupling phased array ultrasonic probe is attached to the scanning starting point, and the contact angle of the probe is recorded; s3, moving the probe along the spiral track of the outer surface of the container at the speed of 20mm / s, and collecting A-scanning echo signals of all array elements; s4, performing pulse compression and time domain deconvolution processing on the acquired signal to obtain a time domain echo sequence; s5, delay time is calculated according to the shell curvature, the array element signals are compensated, and focusing B-scanning data are generated; s6, splicing the B-scanning data at the step length of 0.5 mm * 0.5 mm, and reconstructing C-scanning data corresponding to the space coordinates; and S7, inputting the C-scanning data into the trained Transform network, and outputting defect types, sizes and three-dimensional coordinates. The method realizes high-frequency ultrasonic composite board defect accurate detection, remarkably improves the microcrack recognition rate, and is widely applied to safety evaluation scenes of high-pressure hydrogen storage tanks and pressure vessels.

A graphene-infused fabric is provided as a sound reducing acoustic layer for object such as a pickleball paddle. The graphene-infused fabric is made from polymer fibers, at least one of which is a graphene-infused polymer fiber. Graphene is blended into a polymer material, and fibers are manufactured from said material such as by extrusion. The graphene-infused polymer is combined with other fibers to be made into a woven or non-woven fabric.

The invention discloses a fiber foamed concrete and a preparation method thereof. The fiber foamed concrete comprises the following raw materials in parts by weight: 5290 parts of cement, 4965 parts of water, 1.361 part of foaming solution, 1.2964 part of fly ash and 10 parts of fiber. The preparation method comprises the following steps: proportionally weighing the components; sequentially adding the cement and fly ash into a stirrer, proportionally weighing the water, uniformly stirring the mixture by the stirrer, and adding the fiber; preparing and adding the foaming solution; gradually adding the foam into the mixture, and continuously stirring until all the components are uniformly mixed; pouring the mixture into a mold on which lubricating oil is brushed, and curing in a curing chamber; after 24 hours, removing the mold; and respectively curing for 3 days, 7 days and 28 days for experimental detection. The fiber foamed concrete has the advantages of favorable thermal insulation property, favorable compression resistance and favorable bending resistance, and is applicable to a railway bed strengthening layer.

The present invention discloses a handheld spray fan, the handheld spray fan includes a housing assembly, fan assembly, and spray device. The housing assembly features a handheld part, an air duct at one end, and an air outlet cover at the end of the air duct with a through-hole and multiple air outlet holes. The fan assembly is installed within the air duct, and the spray device comprises a water tank, water pipe, mounting seat, fiber water guide, and atomizer. The water tank is positioned within the housing assembly, the water pipe connects the water tank and the mounting seat, the mounting seat is located at the through-hole, and the atomizer is installed on the mounting seat and exposed through the through-hole. The fiber water guide extends from the water tank to the atomizer, ensuring continuous water supply for stable misting.

A training shoe comprises a bottom sole, a midsole disposed above at least a portion of the bottom sole, one or more panels attached to one or both of the midsole and the bottom sole to define an enclosure for a person's foot, and a carbon fiber plate disposed between the bottom sole and the midsole. The carbon fiber plate may be disposed in a recess defined in a bottom surface of the midsole. The carbon fiber plate may define a plurality of fingers that extend forward in a longitudinal direction of the training shoe.

The invention discloses a percolate intelligent remote monitoring and control system and method, and relates to the technical field of percolate monitoring. The percolate intelligent remote monitoring and control method comprises the following steps: S1, acquiring percolate working condition response data, and preprocessing the percolate working condition response data; s2, analyzing joint mutation characteristics of the three-dimensional core mutation parameters, identifying mutation event candidate points, aggregating to form mutation sections, and constructing a mutation section data set; s3, constructing an intervention judgment data set based on the abrupt change section data set, evaluating the intervention triggering strength of the abrupt change section, and judging whether to implement an intervention strategy or not based on an evaluation result; and S4, calling mutation event candidate points in which mutation sections are not formed, calculating trend characteristic parameters of various working conditions, evaluating working condition evolution risks and judging risk levels of abnormal candidate sections. The problem that the blocking risk cannot be recognized in time when the inlet water is mixed with the suspended fibers is solved.

The invention discloses ultra-high performance concrete and a preparation method thereof. The ultra-high performance concrete comprises the following components in percentage by mass: 15%-25% of cement, 3%-6% of nano SiO2, 30%-35% of fly ash or steel slag powder, 35%-40% of recycled aggregate, 1%-4% of fiber, 0.5% of a microbial remediation agent and 1%-3% of nano TiO2. The preparation method comprises the following steps: S1, pretreating the recycled aggregate; and S2, packaging the microbial remediation agent: mixing the bacillus pasteurii spores with calcium lactate, and wrapping the mixture in calcium phosphate microspheres. S3, step-by-step stirring; S3.1, dry mixing: uniformly stirring the cement, the fly ash, the nano SiO2, the nano TiO2 and the recycled aggregate; s3.2, wet mixing is carried out, water solution fibers containing the polycarboxylic acid water reducing agent are added, uniform stirring is carried out, and the water-binder ratio of the water solution containing the polycarboxylic acid water reducing agent is 0.18; s3.3, final mixing: adding the packaged microbial remediation agent, and uniformly stirring; and S4, directional curing: performing steam curing at 80 DEG C for 48 hours, performing ultraviolet irradiation, and performing constant-temperature and constant-humidity curing for 7 days. The ultra-high performance concrete has the effects of low cost, low carbon emission, multi-function integration and repeatable crack self-repairing.

The invention relates to the technical field of cloth dyeing uniformity detection, in particular to a cloth dyeing uniformity detection method and system based on image analysis, and the method comprises the steps: building a three-dimensional optical response model according to the optical characteristics of a fluff cloth fiber material; calculating to obtain a villus shadow intensity distribution diagram according to the linear polarization degree image data, and calculating to obtain a theoretical artifact reflectivity distribution diagram through a three-dimensional optical response model according to the villus shadow intensity distribution diagram and the surface normal vector mapping data; extracting an actual measurement reflectivity distribution diagram from the hyperspectral image data, and performing differential operation on the actual measurement reflectivity distribution diagram and the theoretical artifact reflectivity distribution diagram to obtain a real dyeing component diagram; dividing villus unit grids on the real dyeing component graph, and calculating a spectral fingerprint variance value of pixels in each villus unit grid; and when the spectral fingerprint variance value exceeds a preset process tolerance threshold value, judging that the corresponding fluff unit grid has a real dyeing defect. And the identification precision of the dyeing defects of the fluff cloth is effectively improved.

The invention discloses a high-strength directly-buried optical cable and a preparation method thereof. Comprising at least one reinforcing piece, at least one cable core, a water-blocking tape layer, an inner protective layer, an armor layer and a high-strength outer sheath, wherein the cable core surrounds the reinforcing piece, is twisted and is filled with water-blocking cable paste; the water-blocking tape layer wraps the cable core; the inner protective layer wraps the water-blocking tape layer; wherein the cable core is composed of a loose tube filled with water-blocking fiber paste and at least one light-guide fiber accommodated in the loose tube; wherein the high-strength outer sheath is prepared from the following raw materials in parts by weight: 80 to 85 parts of high-density polyethylene, 15 to 20 parts of nylon 612, 8 to 12 parts of compatilizer, 15 to 20 parts of modified silicon dioxide, 1 to 3 parts of antioxidant and 0.7 to 1.1 parts of lubricant. The high-strength directly-buried optical cable has excellent high strength, aging resistance and wear resistance, the service life of the optical cable is remarkably prolonged, and the transmission reliability of the optical cable is remarkably improved.

The invention relates to a flame-retardant and heat-insulating aerogel composite material as well as a preparation method and application thereof, and belongs to the technical field of novel building materials. The fiber aerogel is prepared through coaxial electrostatic spinning, an injector containing a polymer spinning solution is connected to a skin layer needle tube connecting port, an injector containing air is connected to a core layer needle tube connecting port, coaxial electrostatic spinning is carried out to prepare micron fibers with skin-core structures, the micron fibers fall on a receiving base material, and the micron fibers with the skin-core structures fall on the receiving base material. A hollow fiber aerogel material with a three-dimensional fluffy structure is obtained, in-situ growth of hydrated nano silicate particles is carried out after thermal crosslinking treatment, the nano silicate particles grow along the fiber surface and cover the micron fiber surface of the hollow fiber aerogel material, and the aerogel composite material is obtained. The hydrated nano silicate particle growth solution comprises polyvinyl alcohol, calcium salt, silicate and aluminum salt. The prepared aerogel composite material has excellent flame retardance and heat insulation performance and is suitable for being used as a building material.

The invention provides an intelligent detection method and system for the tensile property of a plastic cable tie. Gradient temperature rise control is executed through the carbon fiber heating tube array, microscopic deformation fluctuation characteristics are captured through the double-grating displacement sensor, and temperature field distribution is collected through the infrared thermal imager. Establishing dynamic correlation between deformation and a temperature field to generate a three-dimensional space-time atlas, identifying a migration path of a thermal aggregation area, recording a standard path, and calculating a thermal anomaly coefficient in combination with pressure data; analyzing temperature conduction hysteresis to generate a heat conduction parameter, and dynamically correcting a threshold value by cross-modal correlation with an abnormal coefficient; a structure degradation index is generated based on the migration path, mapping between the structure degradation index and a temperature field is established to generate a thermal damage compensation coefficient, an abnormal coefficient is calibrated accordingly, and grading early warning is triggered in combination with the path deviation degree. According to the technical scheme provided by the invention, multi-scale damage evaluation from thermodynamic associated data acquisition to molecular chain fracture inversion is realized, and the high-temperature tensile failure critical point is accurately pre-judged through a dynamic calibration early warning mechanism.

The invention discloses a laminated web discharging structure of a fiber web. The laminated web discharging structure comprises a plurality of coagulation rollers, a conveying leather curtain and a fiber web transfer unit, on one hand, uneven stress of the fiber web during stripping or stacking is eliminated, fiber web transfer interference caused between stripping and transfer is avoided, and the problem of insufficient fiber transfer is solved; on the other hand, on the basis of cooperation of a stripping port and a transfer port formed by the strip-shaped adsorption holes, warping or deformation rate of the fiber net in the stripping or transferring process is avoided, meanwhile, cooperation is formed by up-down interval and dislocation complementation of the multiple sets of strip-shaped adsorption holes, pulling formed at the moment of adsorption is relieved in an equipartition mode, and the adsorption efficiency is improved. Meanwhile, based on intersection of the extending directions of the strip-shaped adsorption holes, mutual association of adsorption ranges formed by strip-shaped adsorption is fully utilized to increase the attaching force of the fiber web and the adsorption transfer section, and the pulling deformation rate of the fiber web is reduced in airflow carding in different directions.

The invention belongs to the technical field of production quality management, and provides a production quality online prediction method for a cotton carding process. The method comprises the following steps: constructing and operating a fiber movement mechanism model based on a physical law and a data driving model based on machine learning; the first quality prediction result and the second quality prediction result are input into a dynamic weight fusion mechanism, and the dynamic weight fusion mechanism executes the following operations to generate a high-precision digital twinborn model: deploying the digital twinborn model integrated with optimal weight configuration on an industrial operation and maintenance platform, and driving the digital twinborn model by utilizing cotton carding process production data acquired in real time, so as to realize online dynamic prediction of the production quality. According to the method, the physical interpretability of the fiber motion mechanism model is reserved, the advantage of high precision of the data driving model is fully played, and the prediction precision and robustness of the digital twin model under different working conditions are remarkably improved through adaptive weight adjustment.

The invention belongs to the technical field of fiber materials, and relates to a micro-gear-shaped special-shaped stretchable conductive anti-radiation fiber and preparation and application thereof, a core layer spinning solution and a shell layer spinning solution are subjected to coaxial wet spinning to prepare the micro-gear-shaped special-shaped stretchable conductive anti-radiation fiber; the core layer spinning solution is obtained by dissolving TPU in anti-radiation particles I / anti-radiation particles II / organic solvent dispersion, and the shell layer spinning solution is obtained by dissolving TPU in MXene / organic solvent dispersion; the mass volume ratio of the TPU to the organic solvent in the core layer spinning solution is (2.2-3g): 10ml, and the mass volume ratio of the TPU to the organic solvent in the shell layer spinning solution is (0.5-1g): 10ml; the anti-radiation fiber is of a core-shell structure, the cross section of a core layer is circular, the cross section of a shell layer is of a micro-gear-shaped special-shaped structure, and the average height of gear protrusions is 20-50 m; when being applied, the fabric is processed into a stretchable multifunctional fabric by adopting a weaving process. According to the method, a coaxial wet spinning process is adopted to prepare the product in one step; the product has high sensitivity and a wide sensing range; the application range is wide.

Apparatuses and processes for producing a substrate are described. A headbox is also provided. The headbox can include at least one flow section. The at least one flow section can include a constriction zone; a slice zone; an expansion zone; and a formation zone. A process for producing a web is also provided. The process can include depositing a slurry of fibers into a constriction zone. The slurry of fibers can then be flowed from the constriction zone through a slice zone and into an expansion zone. The slurry of fibers can then be flowed from the expansion zone into a formation zone. The slurry can be conveyed on a moving forming surface. Fluids may be drained from the slurry of fibers through the forming surface within the formation zone to form an embryonic web. The embryonic web may be dried.

The invention provides a method for realizing carbon fiber defect detection by using image recognition, which comprises the following steps: acquiring a depth-diameter ratio of a hole according to an angle change correction coefficient matrix, and if the depth-diameter ratio is greater than a preset threshold, introducing an angle-related attenuation parameter to obtain a corrected light intensity depth mapping relationship; constructing three-dimensional shape data of the hole through the corrected light intensity depth mapping relation, identifying an internal space structure of the hole, performing voxelization discretization processing, obtaining a voxel unit and a light intensity response characteristic thereof, and determining an internal geometric boundary of the hole; and establishing a hole defect quality evaluation index according to a volume measurement result and measurement uncertainty evaluation, comprehensively evaluating the structural integrity of the carbon fiber composite material in combination with grid quality evaluation, and establishing a carbon fiber defect grade classification standard.

The invention discloses an automobile chassis lightweight structure design method based on topological optimization, and relates to the technical field of lightweight design. Constructing a macro-micro coupling model, and simulating and quantifying material parameter fluctuation by using Monte Carlo; establishing a rigid-flexible coupling multi-body dynamic model, simulating working conditions such as braking and turning, and generating a load spectrum by using a rain flow counting method; constructing a multi-objective function containing light weight, rigidity and modality, and solving manufacturing constraints such as pattern draft and the like by using an NSGA-II (Non-dominated Sorting Genetic Algorithm-II) algorithm; dividing steel, aluminum and carbon fiber material domains; and fusing bench test data to correct the model. According to the method, multi-scale collaborative optimization is realized, dynamic loads are accurately mapped, and light weight and performance are balanced; the connection reliability is improved through the multi-material gradient design; manufacturability is ensured through feature recognition and process verification; the batch consistency is guaranteed by digital twinning and robustness optimization; the chassis design efficiency and quality are integrally improved, and the service life is prolonged.

The invention discloses a high-toughness impervious polymer modified cement-based grouting material and a preparation method thereof, and belongs to the technical field of building repair materials. The component A is prepared from a cementing material, an admixture, a fine aggregate, a composite expanding agent, a polymer for concrete modification, fibers, an early strength agent, a water reducing agent, a composite retarder, a defoaming agent, an air entraining agent, a nano material and a functional component. The system solves the technical contradiction of toughness-strength-impermeability in the polymer modified cement-based material, and the material has excellent comprehensive performance: the initial fluidity is greater than or equal to 330 mm, the 28d compressive strength is greater than or equal to 82 MPa, the breaking strength is greater than or equal to 16.8 MPa, the bending-compression ratio is greater than or equal to 0.19, the impermeability pressure value is greater than or equal to 2.6 MPa, and the material is suitable for the fields of prefabricated buildings, tunnel engineering and the like.

The invention relates to the technical field of building materials, and particularly discloses a lightweight high-strength waterproof gypsum board and a preparation method thereof, the lightweight high-strength waterproof gypsum board comprises alpha-type high-strength gypsum, phosphogypsum, gradient lightweight aggregate, hydrophobic fiber, temperature-sensitive waterproof capsule and the like. The preparation method comprises the following steps: preparing the hydrophobic fiber, the gradient lightweight aggregate and the temperature-sensitive waterproof capsule, dry-mixing the components, mixing the dry-mixed components with water to form slurry, and pouring and curing. Lightweight and high strength are realized through cooperation of the gradient lightweight aggregate and the hydrophobic fiber, and the temperature-sensitive waterproof capsule releases components to fill pores during curing, so that the problem of insufficient early-stage waterproof performance is solved; the prepared gypsum board has the advantages of light weight, high strength, good waterproofness and durability.

The invention discloses a degradable bamboo fiber express packaging bag and a preparation method thereof, and belongs to the technical field of express packaging. The packaging bag is prepared from, by mass, 32-42 parts of pretreated bamboo fibers, 22-28 parts of poly (butylene succinate), 9-14 parts of modified nano calcium carbonate, 12-16 parts of polycaprolactone, 6-11 parts of acetylated chitosan and the like, and the key raw materials are all treated through an exclusive pretreatment or modification process. The preparation method comprises the steps of raw material plasma activation, segmented high-speed mixing, vacuum drying, precise-parameter twin-screw extrusion granulation, secondary drying, precise film blowing, high-precision heat-sealing bag making and the like, and the technological parameters of all the steps are clear. The product disclosed by the invention can be efficiently degraded in a natural environment, has excellent tensile resistance, puncture resistance and impact resistance, is stable and controllable in processing process, and is adaptive to actual requirements of express packaging and industrial batch production.

The invention discloses a fiber bragg grating osmometer measuring method with built-in temperature compensation and a packaging structure, and relates to the technical field of osmotic pressure measurement, and the key points of the technical scheme are that the fiber bragg grating osmometer comprises a protective shell, and an osmometer internal structure is formed in the protective shell; the packaging structure further comprises a structure head end connected with the pressure measuring part, a structure tail end connected with the temperature measuring part, an induction part arranged in the protective shell and used for transmitting deformation generated by osmotic pressure to the pressure measuring part, and the pressure measuring part arranged in the protective shell, and the pressure measuring part is of a suspension frame structure formed by coupling double bent frames. The two sides of the pressure measurement part are symmetrically provided with installation grooves for placing pressure measurement fiber gratings. The temperature measuring part is arranged in the protective shell, so that the problem that the measurement precision is obviously influenced by the environment temperature change due to the lack of a temperature compensation function of the existing sensor is solved, and the long-term measurement accuracy and reliability of the osmometer in a complex temperature environment are obviously improved.

The invention discloses a self-cleaning waterproof coating and a preparation method thereof, and relates to the technical field of waterproof coatings. Wherein the waterproof coating is prepared from organic silicon modified acrylic resin emulsion, a photocatalyst nano composite material, hydrophobic modified silicon dioxide aerogel powder, a nanofiber reinforced material, a dispersing agent, a coalescing agent, a thickening agent, a defoaming agent and deionized water; through the compatibility design of the core-shell structure photocatalyst and the super-hydrophobic silicon dioxide aerogel, multiple self-cleaning of adsorption, degradation and scouring is achieved, the durability and reliability of self-cleaning are remarkably improved, surface modified nanofibers are adopted as a reinforcing material, a three-dimensional network structure is formed in a coating film, and the self-cleaning performance is improved. And the flexibility of the organic silicon modified acrylic resin is synergistically complemented, so that the tensile strength and the deformation resistance of the coating are improved, the brittleness problem of rigid particles is avoided, and the durability of the coating is remarkably improved.

Disclosed in the present invention is an anti-seismic simulation method for an existing building by considering a real damage state. The method comprises: determining a quantified component damage index on the basis of an observed component damage state; determining a material damage index of a damaged component on the basis of the component damage index; determining key parameters of a constitutive law for a damaged material on the basis of the material damage index; establishing a finite element model of a damaged building on the basis of the constitutive law for the material of the damaged component; and assessing the seismic risk and anti-seismic performance of the damaged building on the basis of the finite element model. In the present invention, a constitutive law for a damaged material is incorporated into a fiber model in OpenSEES, so that rapid modeling of a damaged building can be realized, thereby effectively reproducing the real damage of an existing building; and by using a seismic vulnerability analysis method, rapid assessment of the seismic risk and anti-seismic capability of the existing building can be realized, thereby further providing support for formulating reasonable reinforcement and reconstruction strategies by related departments.

The invention discloses a pyrolysis recovery system for cooperative treatment of waste wind power blades by a power station boiler, and belongs to the technical field of solid waste recovery. The system comprises a power station boiler, a pyrolyzing furnace, a mixed flue, a nitrogen air flue and a controller. Oxygen is accurately controlled by mixing flue gas at different temperature levels and mixing nitrogen, and a safe and stable heat source is provided for the pyrolyzing furnace; pyrolysis gas returns to a boiler hearth through an outlet flue to be burnt out, and recyclable fibers and residues are conveyed out through a chain grate stoker; and the controller is linked with each sensor to execute oxygen control, temperature regulation, fiber quality protection and safety interlocking operation. The problems that in pyrolysis of the waste wind power blade, heat source adaptability is poor, oxygen concentration is out of control, fiber quality is poor, the risk is high, and pyrolysis gas is difficult to dispose are solved, and gradient utilization of energy, intrinsically safe operation, high-quality and high-purity recovery of fibers and collaborative treatment of pollutants are achieved.

The invention relates to the cross technical field of building materials and microorganism mineralization, and discloses a hollow fiber mediated biological concrete carbon fixation fiber, a preparation method and concrete.The carbon fixation fiber comprises a fiber carrier providing a transportation path and a diffusion channel for CO2 and carbon fixation microorganisms loaded on the fiber carrier, and the solid carbon fibers are applied to concrete as reinforcing fibers. According to the invention, carbon-fixing microorganisms are loaded on the surface of a fiber carrier with a hollow structure, so that carbon-fixing fibers with a stable microorganism-carrier composite system are formed; the carbon fixation fiber is applied to concrete, a transportation path and a diffusion channel are provided for CO2 in a concrete matrix through hollow mediation, and through directional mineralization of carbon fixation microorganisms on an interface where the reinforced fiber and the concrete are replaced, the carbon fixation amount is increased, meanwhile, the interface bonding force is enhanced, and the low-carbon concrete with the high CO2 storage capacity and the excellent mechanical property is prepared. And a new material and a new process are provided for a carbon neutralization target in the building industry.

The invention discloses a biomass-based reinforcing agent for paper and application of the biomass-based reinforcing agent. The reinforcing agent comprises a biomass-based material, the biomass-based material comprises a micron-sized structure and a nano-sized structure distributed on the micron-sized structure. The reinforcing agent prepared by the invention has abundant nanostructures, is beneficial to physical crosslinking such as entanglement and bridging of fibers in paper pulp, and improves the wet strength of paper; the preparation of the reinforcing agent is a simple physical process, and a complex synthesis chemical process for synthesizing a polymer in a traditional organic reinforcing agent is avoided; the reinforcing agent is prepared by a dissolution regeneration method, so that the energy consumption is low, the solvent can be recycled and reused, no chemicals are consumed, and the reinforcing agent is environment-friendly; the reinforcing agent prepared by the invention can achieve a satisfactory wet strength effect at a lower content.

Disclosed in the present invention is an artificial-intelligence-based performance prediction processing method for a carbon-fiber carbonization process. The method comprises: preprocessing experimental data under test, so as to obtain said experimental data that has been subjected to data cleaning; then, using a sliding window processing method to slide on time series data, extracting data within a window at each position and using the extracted data as an input sample, and determining an input feature and an output variable feature of each input sample, so as to convert the time series data into a plurality of experimental data samples under test in the format of a target model input; performing random data set division on said plurality of experimental data samples, so as to obtain some training sets and some test sets; and constructing a target model, and inputting said experimental data samples into the target model. The target model can implement a relatively accurate mechanical-performance prediction for a carbon-fiber-precursor carbonization process, and the model has an optimal performance in all aspects and has a relatively good generalization capability.