970 results about "Infra red radiation" patented technology

The invention relates to the technical field of gas leakage detection, and discloses an infrared imaging radiation correction method and system for gas leakage detection, and the method comprises the steps: obtaining the distribution data of dark current noise, and the mapping relation parameters of an image gray value and a radiation brightness value; acquiring infrared radiation of the gas leakage scene by using an infrared detector to obtain an original infrared image; based on the distribution data of the dark current noise, performing pixel-by-pixel compensation on the original infrared image to generate an infrared image after dark current correction; extracting the radiation intensity distribution of the infrared image after dark current correction, calibrating the radiation value of each pixel in the infrared image based on the mapping relation parameter between the image gray value and the absolute radiation brightness value, converting the image gray value into the absolute radiation brightness value, and generating the infrared image after radiation calibration; and outputting an infrared image after radiometric calibration for subsequent gas leakage area identification and feature analysis. According to the invention, a high-quality and quantifiable radiation quantification image can be output.

A device, and method for its use, which may be worn by a firefighter for detecting the source of a fire in a smoke-filled or noisy environment, the device having directional infrared sensors for detecting the direction of maximum or minimum intensity of infrared radiation in two or more directions relative to the wearer and reporting at least the direction of maximum or minimum intensity to the wearer by a tactile indicator contacting the skin of the wearer.

The invention relates to the technical field of welding parameter correction, and provides a welding parameter correction method for real-time molten pool morphology feedback, which comprises the following steps of: capturing a molten pool image, an arc spectrum and an infrared radiation signal in real time, accurately extracting geometrical characteristics and contour vibration frequency of a molten pool, and dynamically evaluating arc stability and a thermal attenuation state. And when defects are detected, welding parameter correction is generated based on a process knowledge graph and Bayesian reasoning, collaborative correction of parameters such as welding current, welding voltage and welding speed is achieved through reinforcement learning optimization weight distribution, and the change trend of morphology characteristics of a molten pool is continuously monitored after correction. According to the method, the depth belief network is judged and optimized by combining the descending rate of the morphology defect probability, and the corrected successful case is supplemented to the process knowledge graph, so that the welding quality stability is remarkably improved, the method is particularly suitable for automatic production of a high-precision welding scene, the defect rate can be effectively reduced, and the production efficiency can be effectively improved.

The invention discloses a condensation-free efficient heat exchange control method and system for a full-premixing water heater, and the method comprises the steps: collecting the multi-source information, such as air inlet temperature, humidity, gas flow, flue gas oxygen concentration and wall temperature, in real time, calculating a predicted dew point based on a dynamic dew point prediction model, and setting a dynamic safety boundary; the condensation risk is judged by comparing the wall temperature with the safety boundary, and active intervention is carried out in a staged cooperation mode that fuel gas and air volume are continuously adjusted firstly and then a partial combustion zone sectioning valve is rapidly turned off; the system comprises a main controller, a mesh-shaped infrared radiation burner, a sectional valve assembly, a gas proportional valve, a frequency conversion fan and related sensors. According to the invention, the system runs close to the condensation boundary through intelligent control, and the advantage of high operation heat efficiency is realized on the premise of ensuring high reliability.

The invention provides a substation safety intelligent monitoring method based on infrared binocular vision, which comprises the following steps: acquiring an infrared radiation image, a visible light image and environmental parameters of equipment, and accurately inverting the real temperature of the equipment after eliminating environmental interference in combination with a depth distance calculation and physical compensation model; a historical time sequence of a real temperature is used to construct a multi-dimensional state vector fusing a thermal feature, a spatial feature and an environment feature, and intelligent classification evaluation of the security risk of the transformer substation is realized through an improved decision tree model. Meanwhile, a time sequence prediction model is introduced to predict the temperature rise trend of the equipment, the remaining time for reaching an early warning threshold value is calculated, and a dynamic grading early warning report is generated. According to the method, the temperature measurement precision and the risk identification accuracy are effectively improved, early warning and active prevention and control of the operation state of the equipment are realized, and the operation safety and the intelligent operation and maintenance level of the transformer substation are remarkably improved.

The invention discloses a temperature-controllable laser heating device and method, and relates to the technical field of laser heating, and the device comprises a laser generator which is used for generating a laser beam for heating; the triangular prism assembly is arranged on the same side of the laser generator and the detection control module and is used for refracting the laser beams to irradiate the power equipment for heating and refracting infrared radiation generated by the power equipment to irradiate the detection control module; the detection control module is used for detecting the infrared radiation so as to obtain the actual temperature of the heating point of the power equipment, and adjusting the output power of the laser generator based on the actual temperature and the preset temperature so as to control the deviation between the preset temperature and the actual temperature; the laser beam is refracted to irradiate the power equipment for heating, the actual temperature of the heating point is obtained, the output power of the laser generator is adjusted based on the actual temperature and the preset temperature, the device can be used without modification, and the problems of randomness of training content and concealment of examination content are solved.

An image sensor system (200) sensitive to electromagnetic irradiation and comprising: a first pixel area (210) comprising an array of synchronous first image sensor pixels (211); and an infrared pixel arca (240) comprising infrared image sensor pixels (241, 242) sensitive to infrared irradiation; and a change detector area (230) comprising multiple asynchronous change detectors (231, 232), and a synchronous intensity read-out circuitry (260). A first electromagnetic receptor (215) of a respective first image sensor pixel (211) is electrically coupled to the synchronous intensity read-out circuitry (260). An infrared detector (245) of a respective infrared image sensor pixel (241, 242) is electrically coupled to a respective first asynchronous change detector (231) out of the multiple asynchronous change detectors (231, 232). The change detector area (230) is a distinct part of the image sensor system (200) which is separate from the pixel areas (210, 240).

The invention relates to a PVB (polyvinyl butyral) composite film as well as a preparation method and application thereof. The PVB composite film is prepared from the following raw materials in parts by weight: 100 parts of PVB resin, 1-10 parts of nano praseodymium oxide, 1-10 parts of a dispersing agent, 0.01-1 part of a coupling agent and 20-50 parts of a plasticizer. The nano praseodymium oxide is added into the PVB resin, and the infrared absorption band of the PVB composite film is optimized by utilizing the infrared absorption performance, chemical stability and heat-resistant stability of the nano praseodymium oxide, so that infrared radiation can be efficiently blocked, and the excellent heat insulation effect and long-term use stability of the PVB composite film are realized. Furthermore, the nano praseodymium oxide is modified by a coupling agent, so that the dispersion uniformity of the nano praseodymium oxide in the PVB resin and the interface bonding force of the nano praseodymium oxide and the PVB resin are improved, the light transmittance loss of the PVB composite film is reduced, and the mechanical property and the heat insulation property of the composite film are improved.

The invention relates to the technical field of printing equipment, in particular to a printing ink drying device for anti-counterfeiting stained paper, which comprises a rack, a conveying mechanism is arranged above the rack, a drying box body is arranged above the conveying mechanism, and the drying box body is sequentially divided into a leveling preheating area, a main curing area and a forced cooling area along the conveying direction; the conveying mechanism comprises a high-temperature-resistant conveying mesh belt and a vacuum adsorption platform arranged below the mesh belt; an LED-UV cold light source assembly is arranged in the main curing area, infrared heating pipes transversely arranged in the leveling preheating area and a reflecting cover above the infrared heating pipes are matched with the LED-UV cold light source assembly with a water-cooling circulation flow channel in the main curing area and an external cooling-water machine, and printing ink is evenly heated through infrared radiation to be leveled firstly; curing is completed through low-temperature ultraviolet light, a light source is cooled synchronously in a circulating mode, the effects of ink flat curing and paper low-heat deformation are achieved synchronously, and high-speed continuous operation is effectively supported.

The invention discloses a three-dimensional combustion multi-parameter field inversion method based on two-dimensional infrared imaging and hyperspectral light field imaging, and belongs to the technical field of flame combustion detection. The invention aims to solve the problem of low reconstruction precision caused by limited spontaneous radiation information and poor low-temperature region signal sensitivity in the existing combustion flow field temperature field reconstruction. Comprising the following steps: obtaining a flame two-dimensional infrared temperature distribution image and a flame hyperspectral light field image; a two-dimensional blackbody radiation intensity curve and a three-dimensional blackbody radiation intensity curve are obtained through calibration according to the blackbody radiation law; combining the corresponding image gray values to obtain two-dimensional infrared radiation intensity, three-dimensional visible radiation intensity and three-dimensional infrared radiation intensity; determining a temperature threshold value of the high-temperature area; constructing a multispectral radiation source term matrix equation, and reconstructing a three-dimensional temperature field; obtaining a separated flame hyperspectral light field image, and reconstructing a low-temperature region and a reconstructed temperature field; and combining with a high-temperature region reconstruction temperature field to obtain a whole temperature field. The method is used for three-dimensional combustion multi-parameter field inversion.

The utility model provides a passive infrared human body detection sensor. The passive infrared human body detection sensor comprises a shell which plays a role in protection and fixation; the Fresnel lens is assembled at the opening end of the shell and is used for converging external infrared radiation and segmenting a sensor detection area; the MEMS galvanometer is assembled at the focus of the Fresnel lens and is fixed on the shell through a bracket structure; the control circuit board is fixed on the mounting supporting column of the shell through screws, a pyroelectric sensing unit, an AD conversion circuit and a microcontroller MCU unit are assembled on the control circuit board, and the pyroelectric sensing unit comprises two pyroelectric sensing units, an induction window covering the pyroelectric sensing units and a signal amplification and filter circuit; a sensing window of the pyroelectric sensing unit faces the MEMS galvanometer, and the normal direction of the pyroelectric sensing unit is perpendicular to the central axis of the Fresnel lens. According to the utility model, static human bodies in a detection area can be effectively detected, environmental noise interference can be effectively overcome, and high detection sensitivity is also provided for human bodies moving in the radial direction and in the horizontal direction.

The invention discloses a temperature control system and method based on an electronic cigarette, and belongs to the technical field of electronic cigarette temperature control, and the method comprises the steps: building a temperature difference mapping matrix through obtaining a heating body infrared radiation signal and a cigarette oil liquid level heat conductivity change parameter; establishing a liquid level-heating surface coupling dynamic model by taking the matrix as input, and extracting nonlinear temperature control characteristic factors; constructing a multi-dimensional state recognition vector based on the factors, and performing fuzzy reasoning in combination with a real-time flow signal of a user suction sensor to generate a dynamic target temperature control curve; a heating body voltage is driven through pulse width modulation, a thermal coupling state identification value is updated according to infrared change and an evaporation rate in a sucking process, a temperature control curve is dynamically corrected, and closed-loop self-adaptive temperature control is realized; according to the method, the temperature control precision and responsiveness can be improved, the smoking experience is improved, and the intelligent control level of the electronic cigarette is enhanced.

The invention relates to the technical field of photovoltaic panels, and discloses a photovoltaic panel dust deposition state-based power generation power prediction method, which comprises the steps of obtaining an infrared radiation image and spectral data of a photovoltaic panel, and performing primary processing on the infrared radiation image to obtain a calibration temperature matrix and a pre-processing image set; after the visible light or the ultraviolet light is converted to generate electric energy, actually measured power generation efficiency is collected for error calculation, a dynamic calibration process is triggered based on errors, and a calibrated power generation power prediction value is obtained; according to the invention, through coupling radiation attenuation, temperature loss, wind speed loss and other multi-physical field effects, the infrared spectroscopic analysis is utilized to identify dust components, so that the accuracy and operability of a physical mechanism are enhanced; besides, in combination with multi-source data such as infrared data, meteorological data and spectrum data, extreme conditions such as high humidity, strong wind speed and multi-type dust deposition can be effectively handled, the risk of single data source deviation is reduced, and high robustness and generalization ability are achieved.

The embodiment of the invention relates to the technical field of computer vision, in particular to a physical mechanism constraint-based three-dimensional point cloud infrared target generation method, which comprises the following steps of: performing sparse reconstruction, expansion and optimization on an infrared target based on a multi-view image and corresponding view position information thereof to obtain a sparse three-dimensional point cloud model; performing deep fusion and infrared radiation information mapping to obtain a three-dimensional model corresponding to the infrared target; creating a 3D Gaussian ellipsoid set based on the pose of the camera and the sparse three-dimensional point cloud model; based on the three-dimensional model corresponding to the infrared target and the 3D Gaussian ellipsoid set, 3D-to-2D rasterization rendering of temperature and emissivity is carried out by using a 3DIRGS algorithm, and a temperature characteristic pattern and an emissivity characteristic pattern are obtained; and inputting the temperature feature map and the emissivity feature map into a CNN network to obtain a radiation brightness field of the infrared target, and further obtaining infrared images of the infrared target in each view angle, thereby realizing the benign balance between the quality and the speed of the three-dimensional point cloud infrared target generation.

The invention relates to a high-strength self-cleaning infrared radiation heat dissipation water-based coating as well as a preparation method and application thereof. The coating comprises the following components in parts by weight: 40-55 parts of water, 5-10 parts of a water-based binder, not more than 20 parts of a high-emissivity filler and not more than 5 parts of a fluorocarbon surfactant, the water-based binder is selected from at least one of styrene-acrylic emulsion, water-based polyurethane, polyvinyl alcohol, water-based acrylic resin, water-based epoxy resin and water-based alkyd resin, and the fluorocarbon surfactant is selected from at least one of water-based acrylic emulsion, water-based polyurethane, polyvinyl alcohol, water-based acrylic resin, water-based epoxy resin and water-based alkyd resin. The high-emissivity filler is selected from at least one of BaSO4, ZnO, Al2O3, SiC, BN (boron nitride) and SiO2, and the fluorocarbon surfactant is selected from at least one of FS-65, FS-34, ST-110, FC-4432 and FS-3100. According to the invention, ZnO, BaSO4 and the like are introduced as composite fillers, so that the coating is endowed with high strength, self-cleaning property and full-wave-band high emissivity, various properties such as wear resistance, adhesion, acid and alkali resistance, organic solvent corrosion resistance, aging resistance, high and low temperature resistance and the like of the coating are improved, and the coating can meet the requirements of various different heat dissipation scenes when being applied to electronic components.

The invention provides automobile skylight roller shutter cloth with a six-functional-layer composite structure, and relates to the technical field of automobile textiles. The automobile skylight roller shutter cloth with the six-functional-layer composite structure sequentially comprises a rare earth / graphene radiation cooling fabric layer, a first PUR dispensing layer, a silver reflective coating, a black TPU base film layer, a second PUR dispensing layer and an interior fabric layer from top to bottom. The woven fabric with the radiation cooling function and the composite fabric with the six functional layers of the woven fabric have the capability of reversely dissipating sunlight heat penetrating through skylight glass on the top of an automobile to the atmosphere outside the automobile and even the outer space through the skylight glass through absorption reflection and infrared radiation. The functions of cooling, heat insulation, shading, beautification and decoration of the six-layer composite skylight roller shutter fabric for the vehicle are achieved through the effects of absorption, reflection and anti-radiation of infrared rays.

The invention discloses an uncooled infrared detector and a manufacturing method thereof, and relates to the technical field of detectors, the uncooled infrared detector comprises a readout circuit, the readout circuit is provided with a micro-bridge structure and an umbrella-shaped absorption structure, the micro-bridge structure comprises a metal electrode, a reflecting layer, a first sacrificial layer, a first supporting layer, an electrode layer and a thermosensitive layer, and the electrode layer is arranged on the supporting layer. The thermosensitive layer is arranged on the electrode layer, and the first passivation layer is arranged at the top of the microbridge structure. By adopting the thermosensitive layer with a three-layer structure of vanadium oxide, vanadium and vanadium oxide and optimizing sputtering process parameters, the sensitivity and the stability of the thermosensitive film are improved, secondly, due to the design of an umbrella-shaped absorption structure and the synergistic effect of the second sacrificial layer, the second supporting layer and the absorption layer, the absorption rate and the filling rate of an infrared pixel are improved, and the stability of the film is improved. Not only is the absorption efficiency of infrared radiation enhanced, but also a heat conduction path is optimized, so that the response speed and the signal-to-noise ratio of the detector are improved.

The invention provides a fire extinguisher tank coating process parameter collaborative optimization control method and system. The method comprises the following steps: acquiring infrared radiation data on the surface of a paint film of a fire extinguisher tank in a curing oven, and generating a temperature distribution matrix through thermal gradient analysis; quantifying temperature difference characteristics of different positions of the surface by using the matrix; a multispectral infrared thermal imager is annularly arranged in the curing oven, the optical scanning path of the multispectral infrared thermal imager is dynamically adjusted based on temperature difference characteristics, temperature abnormal points are marked, and a three-dimensional thermal field distortion atlas is constructed; analyzing temperature abnormal point distribution in the atlas, and generating a local cooling compensation vector; and converting the compensation vector into a heating unit power adjustment instruction by applying a sliding mode control mechanism, and adjusting output power to inhibit paint film deformation. Dynamic balance of the curing temperature of the paint film and temperature range compression are realized, and the deformation defect of the paint film is eliminated.

The invention discloses a photovoltaic inverter intelligent heat dissipation control system based on thermal imaging, relates to the technical field of photovoltaic inverter heat dissipation control, solves the problem of insufficient heat dissipation timeliness of an existing photovoltaic inverter, and comprises a data acquisition module which carries out infrared radiation data acquisition on a photovoltaic inverter and constructs a thermal imaging matrix; the heat source inspection module is used for judging a heat source point of the photovoltaic inverter; performing integral evaluation on the heat source points in the heat source range to obtain evaluation information; the heat dissipation processing module is used for carrying out heat dissipation processing and sampling on the heat source points to obtain change data of the heat source points, and carrying out evaluation calculation on the heat source range to obtain an evaluation change value; effectiveness calculation is carried out on heat dissipation processing according to the evaluation change value, and heat dissipation processing steps are stored; the control storage module is used for performing heat dissipation control on the photovoltaic inverter; according to the invention, the timeliness of heat dissipation of the photovoltaic inverter can be effectively improved, and the safe use of the photovoltaic inverter is ensured.

The invention discloses a multi-layer heat insulation composite material based on a high-temperature-resistant modified alloy foil and a preparation method thereof, and belongs to the technical field of thermal protection materials.The preparation method comprises the following steps that (1) the alloy foil is subjected to high-temperature pre-oxidation treatment for a period of time in the air atmosphere, and the high-temperature-resistant modified alloy foil with good infrared radiation shielding performance is obtained; (2) alternately laminating the spacer material and the high-temperature-resistant modified alloy foil to obtain a multi-layer heat insulation composite material based on the high-temperature-resistant modified alloy foil; in the multi-layer heat insulation composite material based on the high-temperature-resistant modified alloy foil, the upper surface and the lower surface are both made of spacer materials, and a layer of high-temperature-resistant modified alloy foil reflecting screen is arranged between every two layers of spacer materials. The problem that a traditional reflecting screen system is insufficient in temperature resistance is solved, and the use environment of the multi-layer heat insulation composite material based on the metal reflecting screen is effectively widened.

A tree-dwelling primate identification method based on thermal infrared and visible light image fusion relates to the technical field of target detection, and comprises the following steps: synchronously acquiring a visible light image and a thermal infrared image in a target sample plot; performing image processing on the visible light image and the thermal infrared image; extracting thermal infrared features in the thermal infrared image and biological features in the visible light image; based on the extracted thermal infrared features and biological features, performing a three-layer matching mechanism of rough matching, static matching and biological constraint; carrying out image fusion on the visible light image and the thermal infrared image; carrying out model training and optimization; and outputting a species identification result. According to the method, adaptive infrared radiation correction enhancement is carried out on the complex inhabiting environment of the tree-dwelling primates in the high-altitude area, then thermal infrared features and visible light features are fused to carry out cross-modal feature three-layer matching and modeling, interference of environmental conditions can be effectively eliminated, the recognition precision is improved, and the recognition efficiency is improved. And a key technical support is provided for physiological monitoring of the tree-dwelling primates.

The invention provides an automobile skylight full-shading roller shutter composite fabric with a nine-functional-layer structure, and relates to the technical field of automobile textiles. The nine-functional-layer structure sequentially comprises a graphene far infrared emission yarn layer, a connection yarn layer, a rare earth far infrared absorption heating yarn layer, a first PUR connection point layer, a first aluminized heat reflection layer, a film layer, a second aluminized heat reflection layer, a second PUR connection point layer and an interior fabric layer from top to bottom. The woven fabric with the radiation cooling function and the composite fabric of the nine functional layers of the woven fabric have the capability of reversely emitting sunlight heat penetrating through skylight glass on the top of an automobile to the atmosphere outside the automobile and even the outer space through the skylight glass through absorption reflection and infrared radiation; and the aluminum-plated layer on the lower layer of the film can reduce the cold loss of a passenger compartment. The functions of cooling, heat insulation, cold insulation, shading, beautification and decoration of the nine-layer composite skylight roller shutter fabric for the vehicle are achieved through the effects of absorption, reflection and anti-radiation of infrared rays.

A hybrid twin process uses an independent mechanical destructive process and an illumination process to change of state of weed seeds to having reduced germination viability by illuminating a seed with at least one of 2 J / cm2 cumulative illumination energy, and 0.2 W / cm2 irradiance, but no more than 7 W / cm2 average irradiance, of at least one of an Indigo Region Illumination Distribution (IRID), and infrared radiation that is substantially Medium Wavelength Infrared (MWIR) radiation, preferably 2-8 microns. The process can be incorporated into a harvester combine to convert a tailings flow prior to discharge on an agricultural field. For the mechanical destructive process, high required applied energy, noise, wear, and difficulty treating impact-resistant seeds are avoided by modifying a driven load flow via increased capability of exposure to illumination and underdriving the mechanical destructive process. This can include randomization, rarefaction and enhanced circulation.

The utility model belongs to the technical field of beef processing equipment, and particularly relates to a beef jerky drying device which aims at solving the problems that existing equipment is uneven in drying, high in energy consumption, single in function, low in space utilization rate and the like and comprises a drying tank, a hot air circulating pipeline, an adsorption drying tower and a suspension rotating assembly. The suspension rotating assembly drives the multi-layer mesh suspension disc to revolve and rotate at the same time through a planetary gear transmission structure of a revolution rotating shaft and a rotation rotating rod, and hot air is dehumidified and regenerated through the adsorption drying tower, then is sprayed in a multi-angle mode through a bent ventilation pipe on the inner wall of the tank and forms a composite heating field with an infrared radiation plate at the bottom of the tank. According to the utility model, the beef can receive hot air and infrared radiation at 360 degrees without dead angles through the suspension rotating assembly capable of simultaneously realizing revolution and autorotation; a multi-dimensional heating system is formed by the bent breather pipe and the infrared radiant panel, so that the heating efficiency and uniformity are improved; dehumidification and heat energy recovery of waste gas are achieved through the adsorption drying tower and the drying agent regeneration unit.

The invention discloses a defect basin-type insulator mechanical property risk degree evaluation method and system based on infrared imaging, and belongs to the field of power equipment partial discharge detection.The method comprises the steps that infrared radiation signals of the surface of a test product in the temperature change process are collected, and time sequence temperature field distribution data are generated; calculating a temperature change rate based on the temperature field distribution data, positioning an internal heat conduction abnormal area and identifying bubble defects; carrying out mechanical property simulation on the basin-type insulator with the bubble defect, applying the same fixed mechanical load in the simulation process, and analyzing the stress conditions of the defect part and the whole body of the basin-type insulator; and evaluating the harmfulness to the mechanical property of the basin-type insulator. According to the method, the risk degree of the defective basin-type insulator can be judged, power transmission interruption or fluctuation caused by blind replacement or wrong judgment is avoided, various inconveniences and losses caused by power failure accidents are further reduced, maximum utilization of resources is achieved, and the power industry is promoted to develop towards the green and sustainable direction.

The invention relates to the technical field of infrared image processing, in particular to an autonomous inspection operation device and method for a control room, and solves the technical problem of low temperature detection precision in the prior art. The device comprises a data acquisition unit which is used for acquiring infrared image data of equipment in a control room; the infrared image data is used for representing an infrared time domain signal acquired based on infrared radiation reflection of the surface of the equipment in the control room; the signal processing unit is used for carrying out adaptive time-frequency transformation based on an infrared time-domain signal in the infrared image data to obtain a corresponding time-frequency matrix; the time-frequency matrix is used for representing energy distribution of infrared radiation on the surface of equipment in the control room at different times and different frequencies; and the inspection unit is used for separating the target heat radiation based on the time-frequency matrix and performing equipment temperature inspection according to the separated target heat radiation.

The invention relates to the technical field of infrared temperature measurement, and particularly discloses an infrared radiation temperature measurement system based on a point detector, which is used for solving the problems that in a 200-1200 DEG C heating furnace, infrared temperature measurement of an existing point detector cannot dynamically select a point detector and a filtering wave band along with the state of a hearth, accurate measurement, quick response and long-term calibration of a wide temperature region are difficult to meet at the same time, and the accuracy of temperature measurement is low. The device comprises an optical platform, an optical path switching unit is arranged on the optical platform, the optical path switching unit is connected with a plurality of optical inlets, the optical inlets are converged to a main optical axis, and a dynamic narrow-band filter and a point detector selection module are sequentially arranged on the main optical axis; through adaptive selection of the dynamic filtering wave band and the point detector, multi-spectrum fusion inversion and an online self-calibration mechanism, the temperature measurement error and drift are reduced under the conditions of wide temperature range, high flue gas interference and long-term continuous operation, and the precision, response speed and reliability of temperature measurement of the heating furnace are improved.

This invention discloses an on-board calibration device, relating to the field of on-board calibration technology, comprising: a calibration source and a calibration lens; the calibration source includes a blackbody radiating surface, a temperature measuring unit, a support structure, conductive components, and a housing; wherein, the blackbody radiating surface is fabricated using MEMS technology and includes a metal heating layer and a specific coating for generating infrared radiation; the conductive components are used to power the blackbody radiating surface; the support structure is used to fix and support the blackbody radiating surface; the temperature measuring unit is used to monitor the temperature of the blackbody radiating surface; the housing is used to encapsulate the calibration source; the calibration lens is disposed in the light output path of the calibration source and is used to collect and compress the infrared radiation light emitted by the calibration source before introducing it into the lens of a remote sensing camera. This invention uses MEMS technology to fabricate the calibration source, which has excellent performance characteristics such as high emissivity, fast response, large dynamic range, and high temperature measurement accuracy, and is small in size and light in weight.

The invention discloses a conditional diffusion method for reconstructing multi-source meteorological data for tropical cyclones. The conditional diffusion method comprises the following steps: acquiring an infrared radiation brightness set, a polarization correction temperature set and a sea surface wind speed of different tropical cyclones in a specified historical period; constructing a polarization correction temperature reconstruction model based on the conditional diffusion model; the input of the polarization correction temperature reconstruction model is an infrared radiation brightness temperature set, and the output target is a polarization correction temperature set; carrying out transfer learning on the trained polarization correction temperature reconstruction model to form a sea surface wind speed reconstruction model; the input of the sea surface wind speed reconstruction model is an infrared radiation brightness temperature set, and the output target is the sea surface wind speed. Therefore, the mapping relation from the infrared radiation brightness temperature to the multi-source meteorological data is established through generative deep learning of conditional diffusion, so that the multi-source meteorological data with the temporal-spatial resolution the same as that of geostationary orbit observation is reconstructed, and good performance is shown on various meteorological indexes and computer vision indexes.

The application belongs to the field of turbine blade thermal barrier coating of an aero-engine. Specifically, it is a structure design, a preparation method and a prepared coating of a double-layer radiation-resistant thermal barrier coating with a high-reflection layer and a high-absorption layer. The coating comprises a high-absorption layer and a high-reflection layer. The high-absorption layer can absorb part of the energy of photon radiation and re-emit it into the environment, while relying on a cooling gas film to quickly remove heat. Part of the energy of the photon radiation is reflected by the high-reflection layer again to the high-absorption layer after passing through the high-absorption layer, and the process of absorption-emission-cooling gas film heat dissipation is repeated. Within a set temperature range, the absorption rate of the high-absorption layer is determined based on the temperature difference requirement between the inner and outer surfaces of the thermal barrier coating, and the high-absorption layer material is determined based on the absorption rate. The application greatly reduces the radiation heat flow penetrating the coating, avoids the direct heating of the high-temperature alloy by infrared radiation, and significantly improves the heat insulation capacity of the thermal barrier coating and the service life of the turbine blade.