113 results about "Infrared reflectivity" patented technology

The invention discloses a poplar degenerated forest stand accurate restoration method, and relates to the technical field of poplar degenerated forest stand restoration, and the method comprises the steps: obtaining a multi-temporal satellite remote sensing image and an unmanned plane multi-spectral image of a target area; in combination with soil moisture content, rhizosphere respiration rate and micrometeorological data collected by ground Internet of Things sensing nodes arranged in a forest stand, geographic coordinate registration and time sequence alignment are performed on the data to form a multi-source observation data set; the method comprises the following steps: extracting vegetation indexes, short-wave infrared reflectivity, soil moisture and rhizosphere physiological parameters based on a multi-source observation data set, constructing a degradation diagnosis index fusing spectral change, moisture stress and root activity, calculating the degradation degree of each pixel, and generating a degradation level spatial distribution diagram; the area with the degradation degree reaching a set threshold value is determined as a to-be-repaired area; and selecting representative poplar individuals in the to-be-repaired area, measuring the photosynthetic ability of the individuals, and calculating the individual competition intensity in combination with the three-dimensional point cloud data.

The invention provides a regional ecological environment quality evaluation method and system based on remote sensing data, and relates to the technical field of environment remote sensing and ecological monitoring, and the method comprises the steps: extracting red light and near-infrared reflectivity at the peak of a growing season by using Landsat8 satellite data, and calculating a mixed vegetation index; synchronously measuring vegetation indexes of pure vegetation and bare soil on site to obtain a vegetation coverage rate, and obtaining water transparency, suspended solid concentration and chlorophyll a concentration through on-site measurement on the basis of green light, red light, blue light and near-infrared reflectivity in a heavy rainfall period and a dry season; the method comprises the following steps: constructing a linear regression model of reflectivity and water quality parameters through a least square method, calculating a water quality index, constructing an extreme weather influence factor based on ten-year extreme weather data, and finally fusing a vegetation coverage rate, water quality, the extreme weather influence factor, annual precipitation, annual average temperature, optimal regional vegetation temperature and historical rainfall extremum. And constructing an ecological quality index, and dividing ecological environment quality grades.

The invention discloses a hot-pressing control method and system for a flexible circuit board, and particularly relates to the technical field of flexible electronic manufacturing process control, and the method comprises the following steps: calculating a heat conduction equilibrium coefficient through collecting the temperature and heat flux density data of each region in the flexible circuit board, and achieving the real-time evaluation of a heat diffusion characteristic; in combination with an infrared scanning mode, acquiring reflectivity data, analyzing dynamic change of the reflectivity data along with time, and identifying an abnormal region in which coating residues possibly exist; further comparing the position relationship between the thermal diffusion anomaly and the infrared reflection anomaly, screening a space overlapping region as a high-risk point, and executing a preset regulation and control strategy; according to the method, the heat conduction equilibrium coefficient is calculated by collecting heat flow and temperature data, the coating residue abnormal area is recognized by combining infrared reflectivity time sequence characteristics, the high-risk area is screened based on the space overlap ratio for dynamic regulation and control, accurate recognition, differential control and closed-loop optimization of hot pressing defects are achieved, and the hot pressing quality and consistency are improved.

The invention discloses an intelligent mango fertilizing method. The method comprises the following steps: arranging a drip irrigation pipeline connected with a water and fertilizer mixing device in a drip irrigation area; canopy images including visible light and near-infrared band information of leaves, flower buds, flowers and fruits are periodically collected through a multispectral imaging device; visual features and spectral features are extracted based on an image processing algorithm, the visual features comprise leaf color distribution, form thickness indexes, flower bud density, flower coverage rate and fruit volume ratio, and the spectral features are near-infrared reflectivity ratios of leaf and flower and fruit areas; matching a growth stage standard library according to the characteristic data, judging a flower bud differentiation stage, a flowering stage or a fruit expansion stage, and calling a corresponding stage judgment model to identify a nutrient and moisture deficiency state; and dynamically adjusting the nutrient concentration and dosage of the drip irrigation liquid according to the judgment result. The method is used for accurate water and fertilizer management of mango planting, a fertilization decision is optimized through multi-source data fusion and closed-loop regulation, and the response capability in a complex nutrient demand scene is improved.

The invention provides a multi-area temperature collaborative management method and system for a high-low temperature all-in-one machine. According to the method, the temperature gradient data of each temperature region and the thermal imaging data of the surface of the non-uniform material are collected in real time, and the recognition of the abnormal region of the heat conduction path is combined, so that the heat transfer lag characteristics of the material are extracted, and the region thermal inertia compensation coefficient map is generated. An infrared reflectivity distribution matrix is further constructed according to the dynamic change trend of the atlas, and the infrared reflectivity of each area is adjusted to optimize the distribution parameters of the heat absorptivity. And finally, carrying out spatial correlation on the thermal response delay evolution path and the thermal absorption rate parameter to generate a multi-region collaborative temperature regulation and control instruction. Through thermal inertia compensation and thermal absorption rate dynamic adjustment, accurate matching and dynamic balance control of a multi-region temperature field of the non-uniform material are realized. The efficiency and precision of multi-area temperature collaborative management of the high and low temperature all-in-one machine can be improved.

The invention belongs to the technical field of soil humidity prediction methods, and particularly relates to a soil deep humidity prediction system and method based on near infrared spectrum and federated learning. The system comprises a near infrared spectrum acquisition device, an auxiliary information acquisition module, an edge end data preprocessing module, a federated learning client module, a cloud federated aggregation server and a man-machine interaction and equipment control module. The method comprises the following steps: establishing a surface humidity estimation model by collecting soil surface near-infrared reflectivity and environment auxiliary information; a deep humidity prediction model is constructed in combination with a heat conduction equation and machine learning, and the accuracy is improved by adopting weighted fusion. A federal learning framework is introduced, local training and cloud aggregation of each agricultural machine are realized, data privacy is protected, and the model generalization ability is improved. The system does not need to destroy the soil structure, has the advantages of non-contact, high efficiency, safety and expandability, and is suitable for intelligent prediction of large-range deep humidity in farmland and linkage control of agricultural operation.

The invention provides a sweet menu embryo pelleting seed breakage rate detection method based on machine vision, and relates to the technical field of seed detection.The method comprises the steps that firstly, visible light and near-infrared images of seeds under standard illumination and non-standard visible light images under multiple light sources are collected, and reflectivity calibration and polarization difference correction processing are carried out; features such as colors and textures are extracted based on visible light and near-infrared reflectivity images, and multispectral feature vectors are constructed; a surface normal vector is calculated by using a photometric stereoscopic vision technology and combining a plurality of non-standard visible light images, an initial three-dimensional height map is generated through integration, and a plurality of abnormal judgment features are extracted to mark a suspected damaged area. And further calculating an edge sharpness index, removing a mechanical damage area, and determining a final damage area and a three-dimensional contour thereof. And finally, combining the volume loss rate, the projection area ratio and other multi-dimensional features with the multispectral feature vector to construct a damage probability prediction model, thereby realizing accurate and efficient detection of the seed damage rate.

The invention provides a visible and infrared dual-band stealth material and a preparation method thereof. The visible and infrared dual-band stealth material comprises a thermochromic ink layer, a transparent conductive layer, a quartz glass substrate and a phase change material layer which are sequentially arranged, wherein the phase change material layer is arranged in a grid shape; and the material of the phase change material layer is selected from VO2 or sulfur germanium antimony tellurium. The surface phase-change material layer of the stealth material is arranged in a grid shape, the color-changing ink layer at the bottom can be directly seen by naked eyes, camouflage patterns are formed on the color-changing ink layer through printing, and the dynamic visible light camouflage function is achieved; when the top layer VO2 or chalcogenide germanium antimony tellurium is in a phase transformation state, the infrared reflectivity of the top layer VO2 or chalcogenide germanium antimony tellurium becomes high, the emissivity becomes low, and therefore the dynamic infrared camouflage function is achieved. Joule heat can be generated when voltage is applied to the transparent conductive layer, and the heat enables the color of the color-changing ink layer to change, so that the visible light camouflage function can be adapted to various scenes. Visible and infrared dual-band stealth can be achieved, dynamic stealth can also be achieved, and the application requirements of multiple spectrums and multiple scenes are met.

The invention discloses a preparation method of a high-toughness low-conductivity anti-radiation thermal barrier coating. The invention belongs to the technical field of thermal barrier coating materials. Aiming at the problems of thermal expansion mismatch of a precious metal second phase, failure of a multilayer structure interface and insufficient toughness of a glass ceramic-based coating in an existing coating, the invention provides a composite gradient structure design. By introducing the glass ceramic intermediate layer and the gradient functional surface layer and combining plasma spraying and high-temperature sintering processes, the characteristics of high toughness, low heat conductivity, radiation resistance and high-temperature self-healing of the coating are realized. The method comprises the following specific steps: step 1, substrate pretreatment; step 2, bonding layer preparation; step 3, glass ceramic intermediate layer deposition; step 4, functional surface layer gradient spraying; the thermal conductivity of the obtained coating is lower than 0.8 W / (m.K), the bonding strength is larger than 35 MPa, the fracture toughness reaches 4.0 MPa.m < 1 / 2 >, the infrared reflectivity at the waveband of 0.3-10 microns is larger than 0.85, and microcrack self-healing can be achieved at the temperature of 1200 DEG C. The method is suitable for ultra-high-temperature service environments such as aero-engine turbine blades.

The invention relates to the technical field of intelligent grabbing, in particular to an intelligent medicine identifying and grabbing system based on a robot arm, which comprises an identifying and checking module, a grabbing and positioning module, a grabbing and executing module, a buffering control module and a distributing and transferring module. According to the method, three groups of independent parameters including the medicine packaging size, the bar code character structure and the near-infrared reflectivity are extracted, a multi-dimensional recognition reference is established, the misrecognition risk caused by single-dimensional judgment is avoided, and multiple contact area indexes such as the curvature radius change rate, the texture mean value and the reflectivity gradient are calculated; the optimal adsorption point position is selected to improve the adsorption stability, the adsorption success rate is improved by matching the quality estimated value and the adsorption requirement grade of the medicine packaging unit with the applicable adsorption pressure grade, the grabbing integrity and the distribution stability are guaranteed, and the release time and the target goods shelf coordinate linkage setting are combined. And the certainty of a distribution path and the consistency of a control closed loop are enhanced.

Dynamic windows with adjustable tint give users greater control over flow of light and heat. Reversible metal electrodeposition dynamic windows include (i) a transparent or translucent conductive electrode; (ii) an electrolyte solution in contact with the electrode, the electrolyte solution comprising metal cations that are reversibly electrodeposited onto the transparent electrode upon application of a cathodic potential; and (iii) a counter electrode. The electrolyte solution advantageously includes a small amount of an additive (e.g., an inhibitor, an accelerator, a leveler, or an organic or inorganic molecule that similarly serves to enhance the surface morphology of the metal cations during reversible metal electrodeposition onto the transparent electrode). Such enhancement of surface morphology during the reversible electrodeposition of the metal tinting layer over the electrode enhances one or more of color neutrality, transmittance characteristics of visible wavelengths (e.g., ability to achieve a near 0% transmission privacy state), infrared reflectance, or switching speed.

The present application relates to thermal insulation coating technical field, specifically to a kind of low VOCs ultraviolet resistant thermal insulation coating composition and its performance testing device, consisting of the following mass parts components: water-based acrylic resin 30-45 parts, nitrogen-doped graphene 1-3 parts, nano composite powder 2-5 parts, low water absorption and expansion glass microsphere 8-12 parts, silane coupling agent modified sepiolite 5-10 parts, silane coupling agent KH560 0.5-1.5 parts, ultraviolet absorber UV-9 0.3-0.8 parts, hydroxyethyl cellulose thickening agent 0.2-0.5 parts;Composition meets the following conditions: (1) VOCs content≤50g / L;(2) ultraviolet absorption rate≥95%;The present application realizes the purpose that VOCs content is far lower than traditional solvent type coating through the synergistic effect of water-based acrylic resin system and low water absorption and expansion glass microsphere, while nitrogen-doped graphene and nano ITO-SiO2 Composite powder form ultraviolet-infrared dual-effect shielding layer, ultraviolet absorption rate, infrared reflectivity greatly improve, solve the problem that traditional anti-UV coating function is single, VOCs is overproof.

The invention provides an unmanned aerial vehicle control method and system integrating scanning and photovoltaic panel cleaning, and the method comprises the steps: scanning the surface of a photovoltaic panel, obtaining a visible light image, a near-infrared multispectral image and three-dimensional point cloud data, carrying out the fusion processing, and carrying out the calculation of the three-dimensional point cloud data based on the joint criterion of the near-infrared reflectivity difference and the three-dimensional space distribution. Distinguishing the types and pollution degrees of sheltering objects on the surfaces of the photovoltaic panels; according to the shielding object type and the pollution degree, a pollution thermodynamic diagram of the surface of the photovoltaic panel is generated, and a cleaning operation path of the unmanned aerial vehicle is dynamically planned based on the pollution thermodynamic diagram; a self-adaptive cleaning module of the unmanned aerial vehicle is controlled to execute cleaning operation according to the cleaning operation path; after cleaning operation is completed, the surface of the photovoltaic panel is scanned again, data obtained after cleaning is compared with data before cleaning, cleaning parameters are optimized through iterative learning, a detection-action-verification closed loop is formed, and full automation and intelligentization of the photovoltaic panel unmanned aerial vehicle in all links of detection, decision making, cleaning and verification are achieved.

The invention discloses a mulberry twig clamping and positioning method and system, belongs to the technical field of intelligent mulberry leaf picking equipment, and aims to solve the technical problems that an existing RGB camera is easily interfered by illumination, and picking damage is caused due to the fact that a demarcation point of a tender branch and an old branch is difficult to accurately recognize. According to the method and system, 500-600 nm visible light and 750-900 nm near-infrared band images are synchronously collected through a multispectral imaging device, HSV color space parameters are extracted, and a color gradient model is established; by analyzing the gradient change rate of the hue value H and the saturation degree S and combining the curvature change rate and the near-infrared reflectivity difference value, the transition boundary of the tender and old branches is accurately judged, and the three-dimensional coordinates of the clamping datum point are generated by dynamically shifting 5-15 mm towards the side of the tender branches. According to the scheme, the limitation of single hue detection is broken through, the xylem recognition capability is enhanced by utilizing multispectral information, the clamping accuracy is improved, the method is suitable for automatic operation of a top-remaining picking mode in large-scale silkworm and mulberry planting, the picking efficiency can be effectively improved, and branch damage can be reduced.

The invention discloses a CSP soaking pit furnace wall thermal insulation material which is of a gradient composite structure comprising an instantaneous high temperature resistant inner layer, a thermal insulation middle layer and a radiation heat exchange outer layer, and the instantaneous high temperature resistant inner layer is made of a composite material comprising nano aerogel and high temperature resistant whiskers; the heat insulation middle layer is made of a nano-particle modified ceramic fiber material; and the radiation heat exchange outer layer adopts a ceramic coating with high infrared reflectivity. The overall heat conductivity coefficient is reduced through the synergistic effect of the low heat conductivity of the inner layer, the high-temperature shrinkage resistance of the middle layer and the radiation heat dissipation performance of the outer layer, good instantaneous high temperature resistance and high-temperature stability are considered, and the heat preservation effect is remarkably enhanced; and in combination with various surface connection improvement means, a heat conduction path can be effectively prolonged, a heat bridge effect can be blocked, heat loss is further reduced, heat energy loss and operation energy consumption of the furnace body are remarkably reduced, and rapid repair is facilitated.

A safety helmet includes a shell configured to surround a user's head, and an infrared-reflective layer disposed inside the shell. The infrared-reflective layer is configured to reflect at least a portion of incident infrared radiation that passes through the shell. The infrared-reflective layer has an infrared reflectance of at least 40%. The safety helmet can further have an evaporative cooling pad positioned within a cavity defined by an inner surface of the shell. A method of manufacturing a safety helmet is also disclosed.

The invention discloses an aerogel composite thermal insulation coating coefficient prediction method based on an MG model, and relates to the technical field of functional thermal insulation paints.The aerogel composite thermal insulation coating coefficient prediction method comprises the following steps that S1, a standard MG model of an aerogel composite thermal insulation coating is corrected, and a final model is obtained; s2, constructing a correction model by using the scattering correction factor; and S3, predicting the heat conductivity coefficient by using the final model, and predicting the infrared reflectivity by using the corrected model. The invention provides a reversible design path for the far infrared functional heat insulation coating, and is suitable for various heat management scenes such as building outer walls, roofs, flexible cloth and the like.

The invention relates to the technical field of information processing, in particular to an intelligent identification method, device and equipment for a logistics environment-friendly bag and a storage medium. A multi-channel input tensor is constructed through a visible light texture image, a near-infrared reflectivity image and three-dimensional point cloud data of the logistics environment-friendly bag; a light diffusion model is used for enhancing a low-illumination image in the multi-channel input tensor, the standardized multi-channel input tensor is input into an OneThinker model for contamination degree quantification, and a life prediction basic feature vector is constructed based on contamination degree information, accumulated use frequency information and stress historical information; and based on the life prediction basic feature vector, the historical use data and the transportation environment temperature and humidity data, adopting a lightweight graph neural network or a long-short-term memory network to model an aging process of the logistics environment-friendly bag, and outputting a predicted value of the number of remaining usable times of the logistics environment-friendly bag according to the aging process. And accurate identification, intelligent state evaluation and scientific life prediction of the logistics environment-friendly bag can be realized.

This invention relates to the field of image sensing data processing and discloses a method for diagnosing the thermal environment of blue-green spaces in cold-region cities based on multispectral remote sensing. The method includes the following steps: acquiring multispectral remote sensing images, three-dimensional building elevations, and solar apparent shape parameters; calculating the illumination shading coefficient of blue-green space pixels to form a three-dimensional dynamic shadow mask; constructing a microscopic phase transition evolution operator using the sensitivity gradient of radiation intensity in different polarization directions and mid-infrared reflectivity; inputting the mask and operator into the thermal infrared radiation measurement equation to reconstruct the dynamic surface temperature; solving the surface energy balance equation based on the dynamic surface temperature, separating the latent heat storage of phase transition energy, and constructing a latent heat buffer index; and performing a comprehensive diagnosis of the thermal environment health based on this index. This invention effectively overcomes the temperature measurement errors caused by complex shading and phase state interweaving, accurately isolates the latent heat energy of phase transition, and achieves precise positioning and objective quantitative diagnosis of microclimate anomalies in cold-region cities.

The present invention discloses an orange-red inorganic pigment that combines high near-infrared reflectivity with selective infrared radiation. The pigment contains the elements Li, Mn, and Re, wherein the Re element is any one of Ti, Zr, or Hf. This invention avoids the use of toxic heavy metals, making it more environmentally friendly. Through the synergistic effect of Li, Mn, and Re, the pigment achieves high reflectivity, high emissivity, and ideal color. Compared to traditional single-component pigments, this combination exhibits superior optical properties.

A high infrared reflectance Cu-TiO2 composite coating and its preparation method are disclosed. The method involves mechanically ball-milling Cu powder and TiO2 powder, wherein the TiO2 mass percentage is 10%–20%. The mixed powder is then deposited onto the substrate surface using cold spraying, preferably with a Ti buffer layer. This invention utilizes the dispersion strengthening, optical synergistic enhancement, and chemical barrier effect of TiO2 particles in the Cu matrix to improve the coating's hardness and wear resistance while simultaneously increasing infrared reflectance. Experiments show that when Cu:TiO2 = 85:15, the coating achieves an absolute infrared reflectance of 94.02% in the 1900–2300 nm wavelength band, higher than pure Cu coatings and existing cold-sprayed Ag and Al coatings. Furthermore, the coating is dense and oxidation-free. This invention features a simple process and low cost, making it suitable for applications such as solar collectors, infrared reflectors, and optical devices.

The invention belongs to the technical field of variable optical films, discloses a multifunctional composite variable optical film and a preparation method thereof, and aims at solving the problems that an existing variable optical film is single in function, unstable in optical performance, poor in flexibility and bending resistance and low in process precision. The preparation method comprises the following steps: pre-treating the base material: sequentially carrying out plasma cleaning on the PET base material and sputtering the ITO conductive layer, sequentially carrying out ultrasonic cleaning on the glass substrate and preparing the YAG powder enhancement layer; the coating of the functional layer is that the surface of the ITO layer of the PET-ITO composite base material is coated with a PDLC layer and an electrochromic layer, and the surface of the YAG layer of the YAG-glass composite base material is coated with a temperature-sensitive layer; the compounding and curing are as follows: firstly laminating after aligning and compounding, and then carrying out UV segmented curing. The light transmittance of the product can be adjusted by 5-95% in an electric field, and the infrared reflectivity is gt; and after the ITO layer is bent for 1000 times and the bending radius is 5mm, the resistance change rate is less than or equal to 10%, so that the ITO film is suitable for a sunshade film for a vehicle and an intelligent window of a building.

This invention relates to the field of ceramic materials and their preparation technology, and particularly to a Pt-doped perovskite ceramic composite material, its preparation method, and its application. The Pt-doped perovskite ceramic composite material provided by this invention uses platinum (Pt) as the dopant phase, and combines a sol-gel assisted doping method with a two-step sintering process using solid-state methods to uniformly distribute Pt in nanoparticle form on Sm... 0.5 Sr 0.5 The ZrO3 ceramic grain boundary region (forming a grain boundary nano-Pt phase) enhances near-infrared reflectivity and reduces thermal radiation absorption while maintaining the stability of the main phase lattice. This invention reduces the thermal conductivity of the ceramic composite material while improving its high-temperature stability through the interfacial regulation effect of the grain boundary nano-Pt phase. This invention also significantly improves the toughness and crack resistance of Pt-doped perovskite ceramic composite materials by constructing Pt nanoparticles to "pinneck" cracks at the ceramic grain boundaries, thus overcoming the intrinsic brittleness of ceramic materials.

The invention relates to the technical field of quartz glass surface treatment, in particular to a manufacturing method of a quartz glass surface high-temperature-resistant coating with high infrared reflectivity, and the method comprises the following steps: (1) preparing a water-based dispersion liquid: mixing deionized water, ethylene glycol, polyethylene glycol and a water reducing agent; (2) preparing coating slurry: mixing quartz glass micro powder, hydrophilic fumed silica particles, a non-metal sintering aid and a water-based dispersion liquid, and carrying out ball milling treatment; (3) carrying out hydrophilization treatment on the quartz glass substrate; (4) coating of a slurry layer: coating the slurry obtained in the step (2) on the surface of the quartz glass substrate treated in the step (3); and (5) sintering the slurry layer: performing high-temperature heat treatment on the quartz glass treated in the step (4) to form the high-temperature-resistant coating. According to the preparation method, the high-temperature-resistant coating with the infrared relative reflectivity of 90% or above can be prepared, and the heating performance and the temperature uniformity of the quartz glass-based reaction cavity are effectively improved.

The utility model discloses a rotary hot cylinder heat preservation device which comprises an installation machine body, multiple sets of rotary hot cylinder bodies are installed on the surface of the installation machine body, and the surfaces of the multiple sets of rotary hot cylinder bodies abut against raw material paperboards. The end cover heat preservation cover and the second heat preservation reflecting plate are both made of metal, so that the end cover heat preservation cover and the second heat preservation reflecting plate have high infrared reflectivity, heat radiation of the rotary heat cylinder body is reflected back to the interior of the end cover heat preservation cover and the second heat preservation reflecting plate, dissipation can be avoided, and the first heat preservation cotton and the second heat preservation cotton are made of heat insulation materials and have low heat conduction coefficient. The end cover heat preservation cover can prevent heat loss, and the suede heat preservation adhesive tape can prevent steam emitted by the lower layer rotary hot cylinder main body during ironing of the raw material paperboard from being condensed on water drops formed at a lower temperature to accumulate and drop on the lower layer raw material paperboard. Accessories in the rotary hot cylinder main body can be conveniently checked and maintained.

The invention discloses a high-temperature stable spectrum selective infrared film and a preparation method thereof, and belongs to the technical field of infrared functional materials. The thin film adopts a Fabry-Perot cavity multi-layer structure and sequentially comprises a bottom infrared reflecting layer, a top infrared reflecting layer, a top infrared reflecting layer, a bottom infrared reflecting layer and a top infrared reflecting layer from bottom to top, the intermediate dielectric resonance layer is prepared from an infrared transparent semiconductor material; the upper-layer part absorption layer is a metal thin film; the top packaging protection layer is made of an infrared transparent dielectric material; wherein the intermediate medium resonance layer is of a crystalline structure formed through thermal pretreatment, and the crystalline structure fundamentally inhibits interdiffusion of elements between film layers and structural phase change at high temperature; through the design, the thin film has low emissivity in atmospheric window wave bands of 3-5 microns and 8-14 microns, has high emissivity in a non-detection wave band of 5-8 microns, and can be used at the temperature of 600 DEG C for a long time.

The invention relates to the technical field of intelligent agriculture, and discloses a scene analysis method and system based on multi-modal understanding, and the method comprises the steps: obtaining the multi-modal perception data of fruits, and generating an initial state data set; performing texture analysis based on the surface image, calculating roughness and uniformity parameters, and combining to obtain a skin toughness index; analyzing near-infrared reflectivity characteristics, calculating a sugar degree index through a regression model, calculating moisture content through a correction model, and evaluating the maturity; based on the toughness index and the maturity value, initial picking parameters including the speed, the clamping force and the angle are generated; collecting contact force data in real time, and calculating deformation quantity and deformation rate indexes; comparing the deformation rate with a damage threshold value to generate an adaptive force control sequence; and recording a picking result, and optimizing a parameter mapping rule. The technical problem that traditional fixed-mode picking cannot adapt to fruit individual differences is solved.

The invention discloses a comfortable double-layer structure metallurgical heat-insulation flame-retardant protective fabric and a preparation method, according to the scheme, through preparation and application of flexible and knittable aramid fiber aerogel short fibers, the light weight and physical and chemical properties of the fabric are guaranteed, and the heat-insulation performance is remarkably improved; moreover, through the application of the high-modulus fiber blended binding yarns, the space structure between the outer layer and the inner layer is increased, and the heat insulation performance is improved; besides, through the construction of a double-layer fabric weave structure, the compounding of multiple functions such as molten metal adhesion and burning through resistance, high temperature resistance and high heat insulation of the fabric is realized, meanwhile, through interweaving of binding yarns, a plurality of rhombic independent function zones with the warp-direction included angle of 60 degrees are formed on the surface layer by interweaving points, molten metal slippage is facilitated, and meanwhile, the air permeability of the protective fabric is improved; and moreover, the uniform metal aluminum film is prepared on the surface of the fabric in a magnetron sputtering manner, so that the visible light and near-infrared reflectivity of the film is improved, the adhesive force of the film is enhanced, and the problem that a traditional aluminum film is easy to fall off is solved.

The application provides a preparation method and application of a high near-infrared reflective red pigment. 1‑x RE x O5; wherein RE is at least one selected from La, Ce, Pr, Nd, Sm, Eu, Gd, Dy, Y, Tm, Yb and Lu. The red pigment is obtained by doping with a rare earth element RE and using a high-temperature solid-phase synthesis method, so that the a* range of the red pigment is changed, and the redness and near-infrared reflectivity of the red pigment are improved.

A heat protection kit for a welding helmet (10A) having a helmet body (12) and a welding filter (20) connected to a front portion (13) of the helmet body is disclosed. The heat protection kit includes a kit visor (22) configured to at least partly cover the welding filter. The kit visor has a high luminous transmittance and a high infrared reflectance. The heat protection kit further includes a mounting member configured to mount the kit visor to the helmet body. Upon mounting of the kit visor to the helmet body via the mounting member, the kit visor at least partly covers the welding filter. A welding helmet assembly including the heat protection kit is also disclosed.