1367 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 provides an autonomous detection robot for the interior of a fan blade based on multi-modal sensing, and relates to the technical field of fan blade interior detection, and the robot comprises a multi-modal sensing module which is used for synchronously collecting an ultrasonic echo signal, a thermal infrared radiation signal and a structural strain signal of the interior of the fan blade; the detection advancing module is used for realizing full-area coverage movement of the detection robot in the fan blade based on a magnetic adsorption flexible coupling crawler belt; the autonomous navigation module is used for generating an optimal detection path based on the fan blade three-dimensional structure model and the robot point cloud model; and the blade damage evaluation module is used for generating a fan blade damage grade report through comparison and analysis of a digital twinborn model based on the ultrasonic echo signal, the thermal infrared radiation signal and the structural strain signal. According to the invention, the multi-modal sensing module synchronously collects multiple types of signals to realize multi-dimensional sensing of the internal damage, and the problem that the traditional method cannot monitor the internal damage in real time is solved.

A thermal imaging camera includes a housing, a front bracket, an infrared assembly for detecting infrared radiation, and a visual assembly for receiving visual radiation. The infrared assembly and the visual assembly are disposed substantially within the housing. The camera further includes at least one cooling element for cooling at least the infrared assembly. The camera also includes a positioning device configured to position the visual assembly to the infrared assembly.

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.

Apparatuses and methods for drying objects are provided. The apparatus can comprise a housing configured to provide an airflow channel having an airflow inlet and an airflow outlet, an airflow generating element configured to generate an airflow through the airflow channel, and one or more radiation energy sources configured to generate infrared radiation and direct the infrared radiation toward an exterior of the housing. A device controller can control the operation of the airflow generating element and the one or more radiation energy sources, and a power element controller in connection with the device controller can control the operation of the power element that can provide power at least to the radiation energy source and the airflow generating element.

The invention provides a multispectral radiation temperature measurement method and system, and belongs to the field of signal acquisition and processing in an infrared radiation temperature measurement technology. The problems of poor inversion precision and applicability of multispectral radiation temperature measurement are solved. The multispectral radiation temperature measurement method comprises the following steps of: measuring radiation information of the surface of a to-be-measured target by using a multi-wavelength pyrometer; the beam splitting system obtains radiation information of different spectrum channels; photoelectric conversion: converting the optical signal into an electric signal; constructing a target equation and a constraint optimization condition according to the brightness temperature model; carrying out multispectral data processing by utilizing an improved multi-population mixed pigeon inspired optimization algorithm; and the final real temperature and emissivity values are obtained. The device is mainly used for multispectral radiation temperature measurement.

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.

A cover for an infrared detector and a method of fabricating the cover are disclosed. The cover comprises a wafer comprising a material such as silicon that transmits infrared radiation. The wafer has a first surface and a second surface opposite the first surface. An antireflective region is formed in the wafer to enhance transmission of infrared radiation through the cover. The antireflective region comprises a first plurality of antireflective elements such as moth-eyes formed in the first surface. The first plurality of antireflective elements are sized and shaped and arranged relative to one another to form a region of graded refractive index at the first surface so as to reduce the amount of infrared radiation reflected by the cover at the antireflective region. The cover comprises a wall extending from the first surface and surrounding the antireflective region. The wall comprises a plurality of layers of material deposited on the wafer so that, when the cover is bonded to a sensor substrate via the wall, a cavity is formed that encapsulates a sensor region of the sensor substrate. The depth of the cavity may be adjusted by depositing the plurality of layers of material with a combined thickness equivalent to the desired depth of the cavity. A second plurality of antireflective elements may be formed in the second surface to enhance the antireflective properties of the antireflective region.

The invention relates to the technical field of target simulation, in particular to a dynamic flight target infrared simulation method and system, and the method comprises the steps: firstly calculating a target three-dimensional temperature field, and then generating infrared radiation characteristic diagrams of different attitudes through the rendering of the data of the three-dimensional temperature field, so as to construct a target infrared characteristic diagram data set; during simulation, according to simulation data, the infrared radiation characteristic diagram number of the target under the corresponding attitude is solved, and target imaging parameters are calculated; calling a posture infrared radiation characteristic diagram corresponding to the target by using the number, adjusting the target image according to the target imaging parameter, and fusing the target image with the background to generate an infrared scene diagram; and finally, converting the scene graph into a thermal radiation signal through an infrared target simulator, and simulating a relative visual angle of the target and the aircraft by using a five-axis simulation turntable to realize dynamic target relative motion simulation detection semi-physical simulation. The method solves the problems of poor real-time performance and low fidelity of infrared target simulation in the prior art, and has the advantages of high simulation efficiency and good fidelity.

IR-sensitive lithographic printing plate precursors provide a stable print-out image using a unique IR radiation-sensitive composition in an infrared radiation-sensitive image-recording layer. This IR radiation-sensitive composition includes: (1) a free radical initiator composition that comprises an electron-donating agent; (2) a free radically polymerizable composition; and (3) a color-changing compound that is represented by the Structure (I) having a conjugated carbon chain between the aromatic terminal groups. The compound also has a —SO2—R3 group wherein R3 represents alkyl, aryl or heteroaryl groups. After IR imaging, these precursors exhibit desirable printout images both fresh and after dark storage. The precursors can be developed off-press or on-press.

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 discloses a background spectrum accurate acquisition method for infrared remote measurement in a complex scene, and the method comprises the steps: carrying out the division of sky and ground object backgrounds for an input background image, and selecting different radiation spectrum generation modes based on a division result; if yes, sky radiation spectrum extraction is carried out based on an MODTRAN radiation transfer model; if the background is judged to be a single ground object background, performing background spectrum extraction by adopting ELM-EMD (Extreme Learning Mode-Empirical Mode Decomposition) which is extracted in real time based on a measurement spectrum and changes slowly at low frequency; and if the background is not single, fusion of the two spectrum extraction modes is adopted. The method has the advantages that the background classification method with the visible image as the reference is adopted, the difference of infrared radiation characteristics of the sky background and the ground feature background is analyzed, different spectrum extraction modes are selected according to the difference, and therefore accurate obtaining of the target smoke plume transmittance spectrum is achieved.

The invention relates to the technical field of gas detection, and discloses a high-sensitivity sulfur hexafluoride detection method and a high-sensitivity sulfur hexafluoride detection system based on cooperation of a long-wave infrared absorption spectrum and a thermal infrared spectrum, which are used for solving the problem that water vapor in a detection area affects a sulfur hexafluoride detection result during sulfur hexafluoride detection. The method comprises the following steps: acquiring long-wave infrared absorption spectrum data and environment abnormal data, acquiring an infrared radiation space distribution diagram of a to-be-detected area, acquiring environment humidity and dew point temperature, obtaining initial detection concentration of sulfur hexafluoride according to the long-wave infrared absorption spectrum data, and calculating the concentration of sulfur hexafluoride according to the environment abnormal data, the environment humidity and the dew point temperature. The method comprises the following steps: acquiring an environmental water vapor influence index through evaluation, performing water vapor interference judgment, and if judging that water vapor interference exists in a current detection environment, correcting an initial detection concentration according to the environmental water vapor influence index to obtain an actual detection concentration, thereby effectively improving the accuracy of a sulfur hexafluoride detection result and reducing the problems of missing detection and false detection.

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 field of infrared radiation measurement, in particular to a response drift correction device and method for a large thermal inertia infrared system, and the method comprises the steps: respectively arranging a temperature sensor on each optical structure in the large thermal inertia infrared system; placing the large thermal inertia infrared system in different environment temperatures, and carrying out radiometric calibration measurement on the large thermal inertia infrared system by using a calibration black body; temperature values measured by the temperature sensor at different environment temperatures form a temperature vector; calculating a variance expansion factor of each temperature vector, and selecting the temperature vectors meeting conditions as a characteristic temperature subset representing stray radiation in the infrared system; constructing an infrared system response model based on the characteristic temperature subset, and performing multivariate linear fitting on the infrared system response model based on data measured by radiometric calibration to obtain a model coefficient; and performing response drift correction on the large thermal inertia infrared system by using the corrected infrared system response model. The large thermal inertia infrared system response drift correction method can realize large thermal inertia infrared system response drift correction under a wide temperature range.

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 relates to the technical field of rocket engines, in particular to a ground engine tail flame infrared radiation end-to-end prediction method based on a neural network, and the method comprises the following steps: 1, calculating a rocket engine tail flame infrared radiation data set; 2, constructing an asymmetric convolution encoder and a parallel deconvolution decoding module; 3, taking the profile spectrum parameter data set as an input data set; processing the tail flame infrared radiation intensity distribution cloud picture data, and taking the processed tail flame infrared radiation intensity distribution cloud picture data and tail flame infrared radiation integral intensity data as an output data set; 4, dividing the input data set and the output data set into a training set and a test set; training and testing the neural network; and 5, inputting the profile spectrum parameters into the neural network, and calculating the infrared radiation data of the tail flame of the rocket engine to be detected. The method solves the problems that an existing rocket engine tail flame infrared radiation calculation method is multiple in calculation links, long in calculation time consumption and difficult to meet mass calculation requirements, and is suitable for rocket engines.

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 invention provides a multi-physical field coupled roasted eel cooking degree prediction and real-time temperature control system and method. The system comprises a tunnel type oven, an image acquisition module, an image synchronization and fusion module, a carbonization identification module, a temperature correction module, a cooking degree prediction module, a partition temperature control adjustment module, a conveyor belt speed control module and a system controller. The system fuses hot air convection and infrared radiation to form a coupled thermal field, obtains multi-mode information of a fish body by combining visible light and infrared imaging, realizes thermal-optical field collaborative perception through image fusion, carbonization identification and temperature correction, constructs a deep cooking degree prediction model based on multi-source features, drives thermal control and dynamic adjustment of a conveying strategy, and realizes deep cooking degree prediction. The accurate evaluation of the cooked degree of the roasted eel and the active intervention of the carbonization trend are realized, and the roasting uniformity and the product consistency are obviously improved.

The invention discloses an MEMS infrared light source with a 3D structure and a preparation method thereof, and the preparation method comprises the steps: cleaning a silicon substrate, depositing supporting layers on the upper surface and the lower surface of the silicon substrate respectively, processing a heating electrode on the supporting layer on the upper surface, and processing to obtain an isolation layer covering the heating electrode and the supporting layer; an infrared radiation material layer is processed in the middle area of the isolation layer, and planar electrodes communicated with the heating electrode are processed on the two sides of the infrared radiation material layer; etching and windowing are carried out on the middle area of the supporting layer on the lower surface of the silicon substrate to form a substrate cavity, etching and windowing are carried out on the supporting layer on the peripheral area of the substrate cavity to form an etching window, substrate body silicon secondary etching is carried out on the lower surface of the silicon substrate to form a communicating cavity, and therefore the MEMS infrared light source with the 3D structure is obtained. According to the preparation method, the communication cavity beneficial to ventilation is formed by etching below the infrared light source through secondary etching, so that the reliability and the stability of high-temperature radiation of the infrared light source are improved.

The invention relates to the technical field of high-temperature-resistant composite coatings, in particular to an atomic-scale complex-phase high-entropy oxide coating material and preparation and application thereof. The preparation method comprises the following steps: firstly, dissolving Mg2AlO4 and transition metal alloy powder, mixing, and carrying out ball milling to obtain spinel-structure high-entropy oxide precursor powder; then carrying out freeze drying treatment on the spinel structure high-entropy oxide precursor powder, and then carrying out sintering treatment to obtain spinel structure high-entropy oxide powder; dissolving metal salt, and blending to obtain a mixed solution; and finally, uniformly mixing the spinel-structure high-entropy oxide powder with the mixed solution, carrying out solvothermal reaction, and carrying out post-treatment to obtain the atomic-scale complex-phase high-entropy oxide coating material. The coating material provided by the invention has high-stability infrared radiation performance and can resist high-temperature oxidation.

The invention discloses a data-driven high-infrared-radiation-characteristic high-entropy rare earth tantalate material screening method and application, and belongs to the technical field of thermal barrier coating materials. The method aims at breaking through the infrared radiation performance bottleneck of a traditional rare earth tantalate ceramic material, a high-precision prediction model of the infrared emissivity of the rare earth tantalate is innovatively developed by constructing a multi-system common data set, and rapid evaluation of the infrared spectral characteristics of the A-site high-entropy rare earth tantalate RE3TaO7 material is achieved. On the basis of the model, a multi-element rare earth tantalate system which comprises (Y < 0.2 > Dy < 0.2 > Gd < 0.2 > Sm < 0.2 > Nd < 0.2 >) < 3 > TaO7 and (Nd < 0.2 > Eu < 0.2 > Dy < 0.2 > Er < 0.2 > Yb < 0.2 >) < 3 > TaO7 and has excellent infrared radiation characteristics is successfully screened out. According to the method, the limitation of traditional small sample material research is broken through through big data modeling, and an efficient theoretical design normal form is provided for developing a novel high-entropy infrared radiation material.

The invention relates to a composite heat dissipation material with high infrared radiation and high heat conductivity as well as a preparation method and application of the composite heat dissipation material. An organic binder and an inorganic binder are mixed according to a certain proportion, ferrite, h-BN powder, a curing agent, a silane coupling agent and other components are added under mechanical stirring to obtain slurry, the slurry is subjected to vacuum defoaming and then spin-coated on the surface of a cleaned substrate, and the heat dissipation coating with excellent performance is obtained after drying. The heat dissipation coating has the characteristics of high infrared emission and high heat conductivity, is suitable for heat dissipation of microelectronic devices such as high-performance chips, can effectively reduce the working temperature to guarantee stable operation of the microelectronic devices, and can prolong the service life of the electronic devices.

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 utility model provides a testing system, which is used for testing a wick and comprises a containing device, an infrared camera and a liquid container, the accommodating device is used for providing an environment of which the oxygen content is lower than 5% and is used for accommodating the wick when the wick is tested; the liquid container is located in the containing device and used for containing liquid at the preset temperature, the liquid in the liquid container makes contact with the liquid absorption core located in the containing device and climbs along the liquid absorption core, and the preset temperature is larger than or smaller than the environment temperature in the containing device; and the infrared camera is used for shooting a climbing height image or video of the liquid in the wick. Therefore, the degree of oxidation of the wick can be reduced. Meanwhile, as the infrared camera can detect infrared radiation in the surrounding environment, temperature difference exists between the liquid and the wick, and the intensities of the generated infrared radiation are different, the infrared camera not only can obtain climbing height images or videos of the liquid on the outer surface and inside the wick, but also can improve the measurement accuracy of the wick.

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.