307 results about "Middle infrared" patented technology

The invention discloses a method for automatically detecting the combustion performance of a flooring material based on a bimodal space-time network. The method comprises the following steps: S1, synchronously acquiring and calibrating bimodal data; wherein the bimodal data comprises data acquired by a visible light camera and data acquired by a thermal infrared imager; s2, performing visible light channel flame segmentation based on the data acquired by the visible light camera in the step S1; s3, performing infrared channel temperature field calibration and carbonization analysis on the basis of data acquired by the thermal infrared imager in the step S1; s4, performing spatio-temporal feature fusion on the flame mask obtained in the step S2 and the temperature field data in the step S3; and S5, performing three-dimensional evaluation according to the dynamic prediction result generated in the step S4, and finally evaluating the combustion performance of the flooring material. According to the method, automatic detection of the combustion performance of the flooring material can be realized through the steps S1 to S5, and the problem of large manual observation error in a flooring material combustion test can be solved.

The invention discloses a converter lining thickness determination method and device, electronic equipment and a storage medium. According to the specific scheme, after smelting of a current heat is completed, smelting parameters and an infrared image of a target converter are obtained, and the infrared image is an image of a local area of the target converter; according to the infrared image, the target furnace lining temperature of the target converter is determined, and according to the target furnace lining temperature and the smelting parameters, the corresponding predicted furnace lining stripping amount of the target converter under the current heat is determined; according to the initial furnace lining thickness information and the predicted furnace lining stripping amount, the target furnace lining thickness corresponding to the target converter is determined; wherein the initial furnace lining thickness information is a furnace lining thickness parameter determined by the target converter before the current smelting. The method improves the efficiency and accuracy of determining the thickness of the converter lining.

The invention discloses a passive radiation refrigeration coating and a preparation method thereof, and relates to the technical field of industrial coatings. Comprising a fluoroacrylate emulsion, hollow glass beads, nano titanium dioxide, flaky silicon dioxide aerogel powder, polytetrafluoroethylene micro powder, hydroxyl-terminated polydimethylsiloxane, a hydroxyl acrylic acid modified silane coupling agent, a super-hydrophobic modified fluorosilicone surface additive, nano cerium oxide, aluminum fluoride doped zinc oxide infrared enhancement powder and deionized water. The paint is prepared on the basis of the formula. According to the invention, a multi-scale spectrum regulation and control and surface self-cleaning system is constructed cooperatively, so that the synergistic effect of high reflection of a sunlight region and high emission of a middle infrared region is realized. The coating can maintain continuous passive refrigeration in a day and night period, the surface of the coating has self-cleaning capability and excellent ultraviolet aging resistance, and high reflectivity and high radiation emissivity can be maintained for a long time in a complex outdoor environment, so that the thermal management efficiency of buildings and equipment is remarkably improved.

The invention relates to the technical field of infrared spectroscopic analysis, in particular to a spectroscopic analysis-based corn kernel nutrient abundance and deficiency state evaluation method, which comprises the following steps of: irradiating corn kernels by using near-infrared and mid-infrared light sources, collecting reflected spectral signals, and recording spectral signal data; and based on the spectral signal data, extracting key wavelength region data to obtain key spectral data. According to the invention, the near-infrared light source and the mid-infrared light source are combined, so that the capability of acquiring nutrient information of the corn kernels is enhanced, the reflection characteristic of spectral signals is utilized, the interference of environmental factors on data acquisition is reduced, and the stability of spectral data is improved. The screening of key wavelength regions reduces irrelevant information, so that the spectral data is more concentrated on the characteristic wave bands influencing the nutrient state. The spectral signals are processed through wavelet transform, the resolution ratio of the characteristic peak value is improved, the local change trend of the spectral signals is enhanced, and characteristic extraction is more accurate.

A system for monitoring fuel consumption in a rotary kiln includes IR sensors and computing systems. The computing systems: obtain a sequence of images; determine a map of temperature values of the infrared images in the sequence of infrared images; obtain a digital model of fuel consumption in relation to temperature values of the rotary kiln, wherein the digital model of the fuel consumption is based on a measured infrared temperature for the infrared images; determine the fuel consumption of the rotary kiln based on the measured infrared temperature with the digital model of the fuel consumption; and provide the fuel consumption in a fuel consumption report. The computing systems: analyze the fuel consumption of the kiln; obtain a correlation factor for the fuel consumption that identifies an amount of carbon dioxide emissions; and determine the emissions for the fuel consumption.

The invention provides an all-dielectric film system structure with visible near-infrared high absorption, intermediate infrared selective radiation and microwave high transmission. The all-dielectric film system structure sequentially comprises a protection and antireflection layer, a visible near-infrared absorption and infrared selective radiation layer and a substrate layer from top to bottom, the protection and antireflection layer comprises a first dielectric layer and a second dielectric layer which are arranged up and down; the visible near-infrared absorption and infrared selective radiation layer comprises a plurality of third dielectric layers and fourth dielectric layers which are alternately stacked. According to the structure, high absorption can be achieved in the wave band of 380-1100 nm, high reflection (low radiation) can be kept in the wave bands of 3-5 m and 8-14 m, high transmissivity is achieved in the microwave wave band, certain radiation can be kept in the wave bands of 5-8 m and 14-25 m, and effective heat management is achieved. The all-dielectric film system structure also considers the stability of the material in a space environment, and is provided with a protection and antireflection layer, so that the potential application reliability of the film system is improved.

The invention discloses an on-line detection method for volatile organic compounds in waste gas, and belongs to the field of waste gas emission monitoring, the detection method comprises the following specific steps: I, starting a quantum cascade laser frequency comb of a middle infrared band, calibrating various parameters of the quantum cascade laser frequency comb, and ensuring to cover a characteristic absorption area of the volatile organic compounds in the waste gas; iI, inputting the waste gas into a gas detection chamber through a sampling pipeline, monitoring the state of the waste gas in real time, and dynamically adjusting the conditions of the gas detection chamber according to various collected signals; the device can capture instantaneous fluctuation of waste gas concentration in real time, meets the high-speed dynamic emission monitoring requirement, has extremely high coherence and narrow linewidth, can analyze tiny spectral line differences which cannot be distinguished by a traditional spectrograph, remarkably improves the detection precision and the recognition capability, ensures that a measurement result still keeps consistency and high reliability under different working conditions, and is suitable for large-scale popularization and application. The signal-to-noise ratio is obviously improved, the power drift is reduced, and long-time stable operation is realized.

The invention discloses a method for predicting the aging degree of an anti-corona layer of a stator bar, and relates to the field of prediction of the aging degree of the anti-corona layer of the stator bar, and the method comprises the following steps: S1, data sampling; image data and real-time temperature information are obtained; s2, data processing; preprocessing the acquired image data to obtain a data set, and performing evaluation weight division and state division on the data set; s3, constructing a model; constructing a model by using a convolutional neural network; s4, training the model; s5, testing the model; s6, practical application; and predicting the aging degree of the anti-corona layer of the stator bar by using the anti-corona layer life prediction model. According to the method, the machine learning algorithm based on learning is adopted, the infrared thermal image, the ultraviolet sub-image and the temperature data in the aging process of the anti-corona layer of the stator bar are collected, the aging state of the stator bar is classified by applying multi-modal feature fusion, and the method has a good guiding effect on evaluation of the aging degree of the anti-corona layer of the stator bar.

The invention discloses an intelligent cabin environment sensing and control method based on a vehicle sensor, and relates to the technical field of intelligent automobiles, and the method comprises the following steps: in the operation process of an intelligent cabin, an infrared thermal sensing system collects thermal imaging data in an automobile in real time, extracts multi-dimensional feature data based on the obtained thermal imaging data, and sends the multi-dimensional feature data to the intelligent cabin; and forming an infrared thermal image characteristic data parameter set. According to the method, the key features of the infrared thermogram are extracted, and the machine learning model is combined, so that accurate identification and dynamic suppression of the thermo-optical interference state are realized. According to the method, sampling and filtering strategies can be adaptively adjusted in complex environments such as strong light reflection, a real thermal image contour is reconstructed, a non-human body heat source is effectively eliminated, the recognition accuracy and the operation stability of an infrared thermal sensing system are remarkably improved, the misjudgment rate is reduced, and the safety and the reliability of an intelligent cabin are enhanced.

Techniques are provided for variable sensitivity in infrared imaging. In one example, an infrared imaging system includes an infrared imager and a logic device. The infrared imager is configured to capture a first infrared image of a scene using a sensitivity setting. The logic device is configured to determine a temperature associated with the scene based on a second infrared image of the scene. The logic device is further configured to determine the sensitivity setting based on an ambient temperature associated with the infrared imager and the temperature associated with the scene. Related devices and methods are also provided.

The invention relates to the technical field of energy-saving materials, and discloses a preparation method of a self-assembled multilayer radiation refrigeration film, the self-assembled multilayer radiation refrigeration film comprises: a surface coating composed of a super-hydrophobic coating and used for providing anti-fouling and self-cleaning functions; the top layer is composed of titanium dioxide nanoparticles and has high sunlight reflectivity; the middle layer is a polytetrafluoroethylene layer with a hierarchical porous structure and provides thermal insulation and efficient mid-infrared emission; the bottom layer is composed of graphene oxide, has high heat conduction performance and promotes heat transfer; and the substrate is a flexible polyester film PET and is used as a supporting structure. Through the titanium dioxide nano-particle design of the top layer and the graded porous structure of the middle layer, the film achieves the reflectivity exceeding 90% in the sunlight band (400-2500nm), meanwhile, the film has the radiance exceeding 85% in the middle infrared band (8-13mu m), and due to the optical performance, surface heat absorption can be remarkably reduced under the intense sunlight condition.

The present invention relates to a tapered stack absorber capable of perfect light absorption in the spectral range of 0.5 [mu] m to 10 [mu] m. The structure is formed by periodically arranging conical unit structures in the horizontal direction, the bottommost layer of each unit structure is a square titanium (Ti) plate with the thickness of d and the width of p, and the square titanium (Ti) plate is used for preventing transmission of electromagnetic waves. On the basis of a Ti plate, 18 TiN / VO2 disc composite layers are stacked from bottom to top, the radius size is decreased by delta t every time, the radius of the bottom composite layer is D1, and the radius of the top composite layer is D2. The upper layer of the composite layer is a TiN layer with the height of h, and the lower layer of the composite layer is a VO2 layer with the height of h. The structure can realize perfect absorption from visible light to a middle infrared band (0.5-10 [mu] m).

The embodiment of the invention provides an eye movement tracking method and near-to-eye display equipment. The near-to-eye display device comprises a light source assembly, an optical waveguide, an image acquisition unit and a processing unit. The light source assembly comprises a visible light source and a plurality of infrared light sources arranged at intervals. The image acquisition unit is used for acquiring images of eyes. The eye movement tracking method comprises the following steps: determining the position of a preset eye region according to an eye image; determining a target infrared light source in the plurality of infrared light sources according to the position of the eye preset area; controlling the target infrared light source to emit infrared light to the pupil area of the eyes; and determining the gazing direction of the eye according to the light spot formed by the infrared light in the image of the eye. According to the technical scheme, when the pupil areas of the eyes are located at different positions, the infrared light can be accurately transmitted to the pupil areas, and high-precision eye movement tracking is achieved.

The utility model provides infrared thermal imaging equipment. The infrared thermal imaging equipment comprises a main processing unit and a data acquisition unit electrically connected with the main processing unit, the data acquisition unit comprises an infrared module used for acquiring infrared image data and a temperature data set corresponding to the infrared image data; the depth sensor is used for collecting a corresponding depth data set; and the main processing unit corrects the temperature data set through the depth data set, and applies the corrected temperature data set to image data for display. Wherein the infrared thermal imaging equipment adopts a multi-sensor data acquisition unit consisting of an infrared module and a depth sensor, so that data support is provided for correcting a temperature data set by using a depth data set, the data accuracy of a temperature field can be improved, and the application requirement of a temperature measurement scene with a higher temperature measurement precision requirement can be conveniently met.

The invention relates to a bionic mist catching net material and a construction method and application thereof, and belongs to the field of air water collecting materials. The bionic mist catching net is a thermoplastic polymer fiber net, and radiation refrigeration particles are blended in fibers of the fiber net; and the part coated with the hydrophobic micro-nano coating and the part not coated with the hydrophobic micro-nano coating on the surface of the fiber net are alternately distributed. The radiation refrigeration particles are introduced into the bionic mist catching net material, and the hydrophobic coating is distributed on the surface of the bionic mist catching net material, so that the light reflectivity and the intermediate infrared emissivity are improved, and the radiation refrigeration efficiency is improved. Besides, the surface hydrophobic coating part forms a super-hydrophobic area, fog drops are promoted to be quickly coalesced into beads after collision, energy dissipation caused by spreading of a liquid film is reduced, the fiber substrate without the coating is kept hydrophilic, a heterogeneous wetting surface is formed, Laplace pressure difference is generated by surface energy difference at a hydrophilic-super-hydrophobic interface, and the super-hydrophobic surface is formed. The spontaneous migration of liquid drops from a super-hydrophobic region to a hydrophilic region is accelerated, and the water collection efficiency is remarkably improved.

The invention discloses a flatness detection device for air conditioner metal pipeline spraying, and relates to the technical field of pipeline anti-corrosion spraying. The flatness detection device for spraying of the air conditioner metal pipeline comprises a spraying bin, an input pipeline is assembled at the top of the spraying bin, and an air draft pipeline is assembled at the bottom of the spraying bin; and the recycling bin filter plate is assembled between the spraying bin and the recycling bin. According to the flatness detection device for spraying of the air conditioner metal pipeline, the air conditioner metal pipeline is put into the spraying bin, a high-pressure liquid pump and a servo motor are started, and a reciprocating lead screw, a square pipeline, a pipeline connector, a gear, a first toothed bar, a second toothed bar, a connecting rod and a limiting rod are matched, so that anti-corrosion liquid can be rotationally sprayed out in different rotating directions; and in the reciprocating motion process of the spray head, the infrared distance meter can perform corresponding flatness detection operation on the air conditioner metal pipeline which is just sprayed, so that the detection efficiency of the device is improved.

The invention provides a cooling capacity-increasing overhead conductor, a dynamic current-carrying capacity determination method, a medium and equipment, and relates to the technical field of power transmission lines, the method is characterized in that the overhead conductor adopts a three-layer composite structure, the outer layer is a passive cooling coating, the thickness is 50-200 [mu] m, the surface is provided with a micro-nano structure for enhancing mid-infrared radiation, the emissivity is greater than or equal to 0.92, and the dynamic current-carrying capacity is greater than or equal to 0.92; the contact angle is greater than 120 degrees through hydrophobic modification treatment; the middle layer is a high-conductivity aluminum alloy conductor layer, and the inner layer is a high-strength galvanized steel core; a directional heat conduction path is formed between the coating and the conductor layer through a gradient heat conduction material, and the heat conductivity coefficient of the gradient material is gradually increased from the coating to the conductor layer; the coating mode of the coating is axial segmented coating or net-shaped coating. According to the overhead conductor, the current-carrying capacity of the line can be effectively improved, the power transmission design of the line is optimized, and the quantitative index of the capacity increasing effect can be obtained through the dynamic current-carrying capacity determination method.

Permafrost thawing prevention may involve deploying a cooling geotextile onto a permafrost soil. The geotextile may include a biomass scaffold comprising natural plant-based fibers. The geotextile may further include a cellulose layer comprising cellulose fibers laminated onto the biomass scaffold such that the cellulose fibers are physically entangled with the plant-based fibers. The geotextile may further include a hydrophobic and biodegradable coating which defines at least one surface of the geotextile. The geotextile may be optically opaque, exhibits high solar reflectivity, and maintains high mid-infrared emissivity to enable passive radiative cooling.

The invention discloses a fuel gas leakage detection system based on mid-infrared laser, relates to the technical field of fuel gas detection, and aims to solve the problems that a large-area region is difficult to cover quickly and only close-range detection can be carried out in an existing laser fuel gas leakage detection method. The gas leakage detection system comprises a laser emission module, an infrared imaging detector module and a data processing module, the laser emission module is used for emitting an intermediate infrared laser beam to a to-be-detected area; the infrared imaging detector module is used for collecting an infrared spectrum signal of the to-be-detected area in real time; the infrared spectrum transmitting module is used for transmitting the infrared spectrum signal to the data processing module; and the data processing module is used for processing the received infrared spectrum signal to obtain a gas leakage detection result of the to-be-detected area. The method is suitable for detecting gas leakage in a natural gas pipeline and a liquefied petroleum gas storage tank area.

The invention discloses a method for synchronously realizing medium-wave infrared spectral imaging metasurface design and spectral image reconstruction. The method comprises the following steps: firstly, establishing a'structure parameter-spectral response 'database of a metasurface unit through simulation software; a forward prediction network is then constructed to predict its spectral response curve from the structural parameters. On the basis, a plurality of metasurface units with differentiated spectral characteristics are arranged on a two-dimensional plane in a spatial-spectral coding mode, and an input hyperspectral image is coded through convolution operation to generate a measurement image. And the target hyperspectral data is recovered from the measurement map in cooperation with a spatial-spectral decoding network. According to the method, metasurface structure design and reconstruction network training are integrated, structure parameters and decoding network weights are updated at the same time through back propagation, collaborative optimization of hardware and software is achieved, the spectrum reconstruction precision can be remarkably improved, the design period can be shortened, and the method is suitable for large-scale popularization and application. The method has a wide application prospect in the fields of spectral imaging, spectral detection, identification and the like of a middle-infrared band.

The invention relates to an infrared image temperature calibration method and system. Error amount generated by distance measurement between an infrared radiation source and an infrared imager is determined through atmospheric transmittance. And calling object surface emissivity preliminary information to reduce the surface emissivity error amount of the infrared radiation source in the actual measurement process. Based on the atmospheric transmittance, a temperature and hyper-parameter joint estimation model can be formed by establishing an infrared radiation model and constructing a forward model. A Bayesian inference method is utilized to deduce the surface emissivity of an object, meanwhile, prior information of different measurement materials is considered, and model parameters and temperature distribution are reconstructed by combining an improved model with a maximum posteriori estimation method. The improved infrared thermal radiation model is suitable for scenes with different measurement distances, humidity factors and emissivity. Through verification of multiple experiments of the black body and the high-speed direct-driven fan, the method can significantly reduce the measurement error and improve the accuracy of temperature measurement.

The invention discloses a dual-optical-path gas detection alarm device based on an intermediate infrared SLD, and relates to the technical field of gas safety monitoring and alarm, in particular to the dual-optical-path gas detection alarm device based on the intermediate infrared SLD. In order to solve the problems that an existing gas alarm device is high in false alarm rate and delayed in response, and cannot realize multi-component gas concentration threshold value judgment and sound-light alarm linkage at the same time, the invention provides a dual-light-path gas detection alarm device based on an intermediate infrared SLD. Comprising an SLD light source module, an optical beam splitting and transmission module, a multi-reflection gas absorption cell, a main tunable filter array, a main photoelectric detector array, a reference tunable filter array, a reference photoelectric detector array, a differential amplifier array, a signal processing module, a display module and an alarm module. The method is suitable for the application fields of petroleum, natural gas, mining, underground space operation and the like.

The invention discloses a passive radiation-evaporative cooling composite coating and a preparation method thereof. The passive radiation-evaporative cooling composite coating comprises a radiation cooling film on the upper layer and hygroscopic hydrogel on the lower layer. The radiation cooling layer with high sunlight reflectivity and high and medium infrared emissivity provides all-weather radiation cooling and protects the hydrogel on the lower layer from direct solar radiation; and the hydrogel can be evaporated and cooled in the daytime and can absorb moisture at night to realize self-regeneration. The invention has the advantages of low cost of required raw materials, simple preparation and large-scale production. The prepared double-layer cooling material has excellent and adjustable optical properties, the temperature of the double-layer cooling material is reduced by more than 15 DEG C under the direct irradiation of sunlight in the daytime, and meanwhile, the double-layer cooling material has a hydrophobic surface. As a refrigeration technology without power consumption and emission, the method is expected to reduce energy consumption and carbon emission of traditional refrigeration, and can be widely applied to spontaneous cooling of the surfaces of devices and facilities.

The invention discloses an infrared camera field monitoring data acquisition method under a network-free condition, a self-developed microwave communication module is carried through an unmanned aerial vehicle, a robot dog, a cross-country vehicle, a cross-country motorcycle or human portable equipment, a low-power-consumption dormancy-awakening technology is adopted, an infrared camera is in a low-power-consumption dormancy state at ordinary times, and the infrared camera is in a low-power-consumption dormancy state; quickly waking up and starting data transmission only when the mobile device approaches and transmits a specific microwave signal; the microwave communication module has the functions of directional communication and adaptive power regulation. Collected data comprises animal and plant infrared images, sound and other information, and data support can be provided for ecological protection research, forest resource investigation, poaching prevention monitoring, disaster site environment monitoring and the like. According to the invention, wireless rapid acquisition and real-time storage of infrared camera data in a complex field environment can be realized, powerful technical support is provided for ecological environment monitoring and protection work, and deep research and wide application in the field ecological monitoring field are promoted.

The invention discloses a heating and heat dissipation bidirectional personal heat management fabric and a preparation method thereof, and belongs to the technical field of heat management fabric design. A photonic crystal coating with an amorphous structure is mainly sprayed on the surface of the fabric, so that the reflectivity of the fabric in a visible light near-infrared band and the emissivity of the fabric in a middle-infrared band are improved, and meanwhile, thermal-burden-free physical coloring is realized on the surface of the fabric, so that the requirements of diversification and attractiveness of the fabric are met; the other side of the fabric is coated with a low-emissivity MXene nanosheet, the passive radiation heating performance, the photothermal conversion performance and the Joule thermal performance of MXene are used for achieving heating thermal management of the fabric, dynamic personal thermal management is achieved through the fabric, the temperature of the fabric can be reduced by 10.2 DEG C in summer compared with the temperature of simulated human skin, and the temperature of the fabric can be reduced by 10.2 DEG C in summer. The temperature of 21.4 DEG C is increased in winter in combination with the multi-mode heating effect, and higher flexibility is provided for personal heat management under different environment conditions.

The present invention discloses an intelligent infrared radiation recognition method for the damage and failure state of coal and rock under load, belonging to the field of water-preserved mining and strata control. Using the infrared radiation monitoring technology of coal and rock, from the perspective of computer vision, first obtain the stress-strain and infrared radiation time series data during the damage and failure process of coal and rock under load, and establish an infrared radiation grayscale image classification data set for different progressive damage and failure stages based on the crack strain model method; build a convolutional neural network CNN classifier, input the prepared data set into the CNN model for training; finally, use the trained model for the intelligent recognition of the damage and failure stage of coal and rock under load. It realizes non-destructive and real-time intelligent monitoring and judgment of the damage and failure stage of coal and rock under load, and has certain practical significance for infrared radiation damage monitoring and early warning in mining engineering and geotechnical engineering.

The invention provides a preparation method and device of Bi2O3-B2O3 inverse magnetic rotation glass, and the preparation method comprises the following steps: (1) placing a glass raw material in a closed heating furnace, introducing ultra-dry oxygen, and simultaneously exhausting outwards to enable the pressure in the furnace body to be P1 which is more than or equal to 1kPa and less than or equal to 5kPa; (2) heating to melt the glass raw material in the furnace body into molten glass, raising the temperature to a clarification temperature, introducing the mixed gas into the molten glass by a bubbling method, simultaneously homogenizing and stirring, and stopping introducing the mixed gas and starting defoaming and stirring when the homogenizing and stirring time reaches t1; wherein the mixed gas comprises ultra-dry oxygen and boron trichloride, the volume ratio of the ultra-dry oxygen to the boron trichloride is k, and k is (1-5): 1; (3) cooling, forming, annealing and pouring; in the step (2) and the step (3), the pressure in the furnace body is kept P1. The Bi2O3-B2O3 diamagnetic optical rotation glass prepared by the method disclosed by the invention is stable in magneto-optical performance and low in hydroxyl absorption coefficient in a middle-infrared band.

The invention provides a method for detecting rice gelatinization characteristics based on machine learning in combination with Fourier transform infrared spectroscopy, which comprises the following steps: acquiring optical signals of different varieties of rice in a middle-infrared band and gelatinization characteristic values measured according to a traditional method, preprocessing the acquired optical signals by utilizing a smoothing (Savitzky-Golay) method; an evaluation model of rice gelatinization temperature, peak time, peak viscosity, minimum viscosity, cold glue viscosity, disintegration value, retrogradation value and subduction value is constructed based on machine learning and a characteristic wave band selection algorithm, and effective prediction of rice gelatinization characteristics is achieved only through optical characteristic parameters. According to the method, the gelatinization characteristics of the rice can be evaluated only by carrying out Fourier transform infrared spectrum acquisition on the rice, and technical support is provided for food processing enterprises to realize rapid, efficient and stable product quality monitoring. Therefore, a rapid, efficient and stable quality monitoring technical support is provided for food processing enterprises, so that the quality control in the production process is more convenient and accurate. Through the technology, an enterprise can adjust production parameters in time so as to ensure the consistency and excellent quality of products.

The invention discloses a fire early warning method and a program product. The method comprises the steps that infrared image data and visible light image data at a plurality of collection positions in a target detection area are acquired, the infrared image data comprise infrared images at a plurality of collection moments, and the visible light image data comprise color images at a plurality of collection moments; determining multi-source fire characteristic data at the acquisition time according to the infrared image and the color image at each acquisition time, and determining enhanced fire characteristic data at the acquisition time according to the infrared image, the color image, the multi-source fire characteristic data and the historical fire scene data; determining a fire risk evolution probability at the acquisition position according to the enhanced fire feature data at the acquisition position at the plurality of acquisition moments; generating a fire risk prediction report according to the fire risk evolution probabilities at the plurality of acquisition positions, and performing fire early warning according to the fire risk prediction report and a preset multi-stage early warning mechanism; therefore, accurate monitoring of the fire hazard is realized.

The invention belongs to the technical field of quantitative remote sensing, and relates to a mid-infrared hyperspectral emission and reflection characteristic integrated inversion method, which comprises the following steps: acquiring mid-infrared hyperspectral satellite remote sensing data, and optimizing sensing entrance pupil radiance data to obtain optimized entrance pupil radiance data; the intermediate infrared hyperspectral satellite remote sensing data comprises sensing entrance pupil radiance data; performing atmospheric correction on the optimized entrance pupil radiance data by using a radiation transfer model to obtain surface brightness temperature and atmospheric downward radiation, and calculating solar irradiance reaching the surface; constructing a mid-infrared hyperspectral earth surface bi-directional reflectivity inversion framework, and performing earth surface bi-directional reflectivity inversion based on the mid-infrared hyperspectral earth surface bi-directional reflectivity inversion framework to obtain earth surface bi-directional reflectivity and earth surface equivalent radiance; constructing a scene self-adaptive framework, and performing inversion based on the scene self-adaptive framework to obtain the surface temperature and the surface emissivity; therefore, accurate separation of surface emission radiation and surface reflection radiation is completed.