316 results about "Long wave infrared" patented technology

The invention relates to the technical field of photovoltaic module detection, in particular to a hot spot detection system and method for a photovoltaic module. Comprises: a multispectral imaging module configured to synchronously collect image data of a photovoltaic module in a visible light band, a near-infrared band and a long-wave infrared band; the electroluminescence analysis module is in signal connection with the multispectral imaging module and is used for acquiring carrier recombination radiation data of the photovoltaic module in a reverse bias state; the dynamic threshold value processing module is configured to establish a dynamic correlation model of the environment parameters and the hot spot characteristic parameters; the three-dimensional reconstruction module is configured to perform spatial registration on the multispectral imaging data and the electroluminescence data and construct three-dimensional temperature field distribution of the photovoltaic module; the defect positioning module is configured to determine the accurate position of a hot spot according to temperature field distribution and carrier recombination characteristics; according to the scheme, a novel detection system architecture with multi-mode collaboration, high dynamic adaptability and three-dimensional analysis capability is constructed.

The invention discloses an unmanned aerial vehicle multi-scale crop detection method based on a neurodynamics model, and belongs to the technical field of crop detection, and the method comprises the steps: obtaining a visible light image, a long-wave infrared image and hyperspectral data of a crop under the multi-scale condition of an unmanned aerial vehicle; performing registration fusion processing on the visible light image, the long-wave infrared image and the hyperspectral data to obtain fused hyperspectral cube data; constructing a neurodynamic model for crop detection, inputting the fused hyperspectral cube data into the neurodynamic model for crop detection for training, and outputting a crop detection result; and calculating a loss function of the neurodynamic model for crop detection based on a crop detection result, and feeding back the loss function to the model for constraint. According to the invention, visual processing, deep learning and agricultural scene perception technologies are combined, and efficient and accurate crop monitoring is realized by using the parallel computing capability and anti-interference characteristics of the neurodynamics model.

The invention relates to a three-waveband medium-long wave infrared optical filter and a preparation method, the three-waveband medium-long wave infrared optical filter comprises a front film system, a substrate and a back film system, and the substrate is located between the front film system and the back film system; the front film system is formed by alternately overlapping germanium layers and zinc selenide film layers; and the back film system is formed by alternately overlapping germanium layers and zinc selenide film layers. According to the invention, the light energy of three wave bands of 3780-4000 nm, 4500-4900 nm and 7850-9500 nm is improved, the luminous flux of other wave bands is well inhibited, the technical problem of infrared filtering windows in some special infrared spectrum detection systems is solved, and a new scheme is provided for the application of the infrared spectrum detection systems.

The invention provides a long-exit-pupil-distance broadband common-aperture composite simulation optical system, and belongs to the technical field of target scene composite analog simulation. A broadband objective lens group A, a space beam combiner group B and a long-wave infrared projection lens group D are sequentially arranged in the optical system from left to right along light, a visible light projection lens group C is located on the upper side of the space beam combiner group B, and a long-wave infrared projection lens group C is located on the lower side of the space beam combiner group B; a visible light image plane is positioned on the right side of the visible light projection lens group C; the medium-wave infrared projection lens group E is located on the lower side of the space beam combiner lens group B, the medium-wave infrared image surface is located on the lower side of the medium-wave infrared projection lens group E, the long-wave infrared image surface is located on the right side of the medium-wave infrared image surface, and the exit pupil position is located on the left side of the broadband objective lens group A; the problem that a single-channel target modulo system only adapts to simulation of imaging guidance equipment of a specific wave band and is not suitable for semi-physical simulation tests of three-mode composite imaging guidance equipment and two-mode composite imaging guidance equipment is solved.

The invention relates to a miniaturized medium-long wave infrared solid-state laser in which a thulium-doped laser directly pumps a ZGP crystal, the thulium-doped laser takes two laser diodes with the central emission wavelength of 793 nm as pumping sources, two Tm: YAP crystals with the same parameters are cascaded and placed in a U-shaped resonant cavity to serve as laser gain media, and an acousto-optic Q crystal controls intra-cavity loss in the resonant cavity, so that the thulium-doped laser directly pumps the ZGP crystal. Pulse laser with the wavelength of 1.94 m is output; the 1.94 m pulse thulium laser serves as pump light and passes through the ZGP-OPO module, and 2.8 m signal light and 6.2 m idler frequency light are obtained. The Tm laser outputs 1.94 m laser through primary oscillation to directly serve as a pump source, the ZGP-OPO outputs medium-long wave infrared laser in a nonlinear mode, the overall light path structure of the medium-long wave laser is simplified, and the electro-optical conversion efficiency is improved.

The invention relates to the technical field of structural safety detection of steel structural members, in particular to a steel structural damage identification and repair method, system and device and a medium, and the method comprises the steps: obtaining a multi-source image data set and a standard corrosion test block database of a steel structural member through an unmanned aerial vehicle, the multi-source image data set comprises a polarized visible light image, a long-wave infrared temperature matrix and hyperspectral reflectivity data, and the standard corrosion test block database comprises spectral feature vectors of different corrosion grades and corresponding physical parameters; and carrying out sub-pixel level registration and feature extraction on the multi-source image data set. According to the method, the unmanned aerial vehicle synchronously carries the three cameras to carry out real-time multi-dimensional data acquisition, the problem of data splitting in traditional single-mode detection is solved, the multi-spectral data acquisition efficiency and the sub-millimeter level hidden damage identification precision are remarkably improved, and dynamic environment interference is inhibited in real time through an intelligent parameter inversion mechanism.

The invention relates to a dual-waveband medium-long wave infrared optical filter based on a germanium / zinc sulfide asymmetric film system and a preparation method of the dual-waveband medium-long wave infrared optical filter. The dual-waveband medium-long wave infrared optical filter comprises a front film system, a substrate and a back film system, the front film system and the back film system are formed by alternately overlapping germanium layers and zinc sulfide film layers; the average transmittance of the infrared optical filter in the wave band of 3800 nm to 4800 nm and the wave band of 8000 nm to 10000 nm is not lower than 91%. According to the two-waveband medium-long wave infrared optical filter disclosed by the invention, 3800 to 4800 nm amp is realized; according to the infrared filtering window, the light energy of medium waves and long waves of 8000-10000 nm is improved, the luminous flux of other wavebands is well inhibited, the technical problem of the infrared filtering window in some special infrared spectrum detection systems is solved, and a new scheme is provided for infrared application.

The invention belongs to the technical field of infrared optics, and discloses a long-wave infrared continuous zooming microscope lens. The lens is provided with two lenses, namely a first lens and a second lens which are sequentially and coaxially arranged between an object plane and an image plane; the first lens is a meniscus positive lens of which the convex surface faces the image side, and the second lens is a meniscus positive lens of which the convex surface faces the image side; the first lens and the second lens can move between an object plane and an image plane so as to carry out high and low magnification switching. The long-wave infrared continuous zooming microscope lens can realize multi-magnification switching, and also has the characteristics of small number of lenses, large target surface and clear imaging; the working wave band is 8-12 [mu] m, the magnification factor is 0.2-0.6, the F number of the image space is 1.5, the number of pixels is 1280 * 1024, and the size of the pixels is 12 [mu] m.

The invention provides a high-power wide-spectrum long-wave infrared femtosecond laser generation method, and relates to the technical field of infrared ultrafast laser. According to the method, the 1.5 [mu] m pumping BGSe crystal is adopted, compared with a traditional 1 [mu] m pumping BGSe crystal, the heat accumulation effect is greatly reduced, and the operation stability of the system is remarkably improved in combination with a water-cooling heat dissipation device. Through crystal cutting angle optimization and phase matching design, 10-16 [mu] m wide-spectrum long-wave infrared femtosecond laser output is achieved, the power reaches 100 mW, and the application requirements in the fields of molecular spectrum recognition, environment monitoring and the like are met.

The invention relates to a passive multiband sensing array system and a multi-target tracking method. The system comprises a multiband sensor group, an environment illumination sensor, a synchronization and control unit and a preprocessing unit, the multi-band sensor group comprises a visible light sensor, a near-infrared sensor and a long-wave infrared sensor which are integrated in a unified shell through a coaxial light path and do not comprise active emitters; the synchronization and control unit generates a synchronization signal and controls the multi-band sensor group and the environment illumination sensor to perform synchronous data acquisition; and the preprocessing unit receives the original image data, the environment illumination data and the synchronizing signal, outputs a structured multi-mode data packet and provides the structured multi-mode data packet to the multi-target tracking engine at the rear end, and the multi-target tracking engine outputs the tracking states of multiple targets. According to the invention, stable, continuous and high-precision tracking of a plurality of targets can be realized in a plurality of complex scenes, and the problems of poor environmental adaptability, dependence on active emission and insufficient robustness of the existing multi-target tracking scheme are effectively solved.

A hydrocarbon gas detection system including a longwave infrared camera, a spectral filter, and a computation unit. The spectral filter is disposed in the light path of the camera sensor. The spectral filter is made of a material selected from the group consisting of calcium fluoride, zinc sulfide, magnesium fluoride, and silicon. The computation unit is arranged to process image data of the longwave infrared camera for the hydrocarbon gas detection.

The invention provides a rainfall monitoring method and system based on unmanned aerial vehicle multi-mode noise reduction in the technical field of environment monitoring and unmanned aerial vehicle application, and the method comprises the steps: S1, collecting a visible light image and a long-wave infrared image through a multispectral vision module after an unmanned aerial vehicle takes off, and collecting a rainfall audio from an acoustic cabin through a microphone; s2, carrying out noise reduction processing on the visible light image, the long-wave infrared image and the rainfall audio; s3, extracting a raindrop size distribution histogram and a spatial density thermodynamic diagram based on the visible light image and the long-wave infrared image, and extracting acoustic MFCC features based on rainfall audio; s4, performing feature fusion operation based on the raindrop size distribution histogram, the visual density thermodynamic diagram and the acoustic MFCC features to obtain rainfall intensity; and S5, carrying out cumulant dynamic compensation based on the rainfall intensity to obtain the cumulative rainfall. The rainfall monitoring method has the advantages that the precision, robustness and practical level of rainfall monitoring are greatly improved.

The invention discloses a probabilistic thermal runaway early warning method and system based on a multi-modal three-dimensional thermal field, and relates to the technical field of energy storage safety monitoring, and the early warning method comprises the specific steps: S100, multi-modal data collection; s200, carrying out time alignment processing; s300, feature fusion extraction is carried out; s400, reconstructing a three-dimensional temperature field; s500, calculating a thermal runaway probability; according to the method, multi-modal data of RGB-D, long-wave infrared and gas sensors are fused, space-time synchronization is realized in combination with a soft Kalman alignment algorithm, the limitation of single physical quantity monitoring is broken through, cross-modal correlation features are extracted by adopting a pyramid cross attention adversarial network, and the multi-modal data of the RGB-D, the long-wave infrared and the gas sensors are subjected to hierarchical linkage response. The generated multi-scale feature tensor can accurately describe the spatio-temporal evolution law of a thermal runaway precursor, after lightweight neural radiation field voxel reconstruction, millimeter-level dynamic updating of a three-dimensional temperature field is realized, the generation and diffusion process of local hot spots in an energy storage cabin can be captured in real time, and a high-fidelity thermal field portrait is provided for early risk identification.

The invention discloses an intelligent monitoring and early warning warehouse for tea storage, and relates to the technical field of agricultural product storage monitoring and intelligent early warning. An acoustic respiration sensing array, a quantum dot gas mapping film and optical excitation imaging, long-wave infrared polarization insect trace detection, and an edge calculation and actuator cluster are integrated in the warehouse body; a limited scanning sector is triggered by acoustics first sense, a VOC / ammonia concentration heat map and a polarization disturbance heat map are obtained, graded early warning is output through time-space fusion consistency scoring, and low-energy-consumption zoning intervention is achieved through model prediction control cooperation dehumidification, air supply, cold plasma and a zoning air door. In cooperation with reference self-correction, channel health detection and fault-tolerant synchronization, a monitoring-decision-regulation-re-monitoring closed loop is formed, and mildew / insect pest early warning and traceable management are achieved under the condition that packaging is not damaged.

The invention relates to the technical field of transportation safety monitoring, in particular to a tank car liquid level on-line detection method which comprises the steps that a medium-wave infrared image and a long-wave infrared image of a tank car are collected, and the environment temperature is synchronously obtained; fusing the medium-wave infrared image and the long-wave infrared image to generate a fused image; liquid level boundary candidate areas are extracted, and effective liquid level boundaries are determined through geometric constraint and temperature gradient verification; the effective liquid temperature is output after environment temperature verification; performing temperature compensation based on the effective liquid temperature and the expansion coefficient, and generating a dynamic threshold by combining vehicle speed vibration compensation; the actual liquid level height is converted according to the position of the effective liquid level boundary and the parameters of the tank body and compared with a dynamic threshold value to trigger grading alarm or emergency locking operation. The low-temperature liquid level line contrast ratio and the rain and fog day recognition rate are enhanced, the over-loading risk caused by thermal expansion is avoided, and the system robustness and the alarm accuracy are improved.

The invention discloses a picture type hyperspectral full-wave band imaging system based on image space scanning. The system comprises a telescope system, an image space scanning mirror, a view field separation device, a spectrograph and a detector, wherein the spectrograph and the detector are arranged at different wave bands from visible light to long-wave infrared light; wherein the image space scanning mirror is in the shape of a cylinder with a right triangle section, a central optical axis is arranged in the image space scanning mirror, and the image space scanning mirror can move in parallel or rotate horizontally along the central optical axis to form rectangular view fields in different directions and at different angles; light from the rectangular area of the earth surface is converged to the image space scanning mirror through the telescope system, and a plurality of rectangular view fields are formed at different positions; and after passing through the field of view separation device, the light is split by a spectrograph and received by a detector in different bands of visible light-long wave infrared, and the problem of virtual focus of an image plane is avoided in the process of obtaining the hyperspectral full-band earth surface information in a picture manner. According to the invention, a foundation is laid for high-resolution area array staring imaging and full-band picture type hyperspectral and multispectral comprehensive detection.

The invention discloses an energy-saving dimming assembly and a manufacturing method, and relates to the technical field of building energy-saving facilities, and the energy-saving dimming assembly is sequentially provided with a first transparent layer, a second transparent layer, a third transparent layer and a fourth transparent layer from outside to inside, the temperature response functional layer comprises a mixture of at least two thermochromic high polymer materials and is configured to realize adjustment of light transmittance in a preset temperature interval; the second transparent layer is used for supporting the temperature response functional layer; and an optical regulation and control layer configured to have a low-radiation characteristic in a long-wave infrared region. According to the invention, the transmittance of visible light and infrared light of the window can be changed along with the change of temperature at 20-38 DEG C. Meanwhile, programmed adjustment of the corresponding temperature response interval can be achieved through temperature change; and the gradual change of the transmittance of visible light and infrared light can be regulated and controlled in a programmed manner through the temperature change, so that the effects of regulating the indoor brightness and temperature and protecting the visual comfort of a user are realized, and the aim of saving energy is fulfilled.

The invention relates to a broadband continuous testing device and method for diffraction efficiency of a medium-long wave infrared grating. The device comprises a broadband light source, a medium-long wave infrared monochromator, a collimation system, a polarization selection system, a broadband spectrum beam splitting system, a signal enhancement detection system, a sample clamping and multi-dimensional moving system and an automatic control system. According to the testing method, the absolute diffraction efficiency of the grating is tested through double optical paths, measurement errors caused by fluctuation of a light source can be avoided, the measurement errors are further reduced by deducting environmental noise and improving the signal-to-noise ratio through a signal enhancement detection system, an automatic control system is added, and continuous scanning testing in a specified wave band is achieved. The test speed is improved. By means of the device and the method, automatic and rapid measurement of the diffraction efficiency of the medium-long wave echelette grating under the conditions of at least 2.5-14 micron broadband, different wavelengths, any incident angle and dual polarization states can be achieved.

The invention discloses a tunnel blasting fragmentation statistical method based on infrared imaging, and relates to the technical field of tunnel engineering blasting, and the method comprises the following steps: S1, dual-band infrared imaging: employing long-wave infrared and medium-wave infrared dual-band cooperative imaging, penetrating smoke and enhancing fragment edge recognition; s2, fragment motion trajectory modeling: continuously capturing a fragment flight trajectory through high-speed infrared camera shooting, and calculating an initial velocity, an acceleration and parabola characteristics of the fragments in combination with an inertial motion equation; according to the invention, through a dual-band cooperative imaging technology, the LWIR band has excellent capability of penetrating through smoke and dust, and fragment contours can be obtained in a severe environment; the MWIR band is sensitive to a high-temperature target, fragment edge recognition is enhanced, the image signal-to-noise ratio and the target segmentation precision are remarkably improved through dual-band data fusion, and the problem that the imaging quality of traditional visible light camera shooting is poor in a complex blasting environment is effectively solved.

An all-day laser far-field light spot testing device and a use thereof, relating to laser light spot measurement technologies. A photoelectric detection unit (5) detects a far-field laser echo to obtain a time distribution of an intense laser pulse, and a control unit (7) controls an exposure time of a short-wave infrared camera (3) and a detection time of the photoelectric detection unit (5), so as to better capture a pulse light spot. The short-wave infrared camera (3) performs imaging detection on a far-field light spot to obtain spatial distribution information of the light spot, a long-wave infrared camera (4) performs all-day imaging detection on a far-field background, and when the far-field background is superposed with an image of the short-wave infrared camera (3), all-day light spot image imaging can be performed. A data processing unit (6) processes a laser echo pulse waveform of the photoelectric detection unit (5) and the image of the short-wave infrared camera (3), and when necessary, fuses the image of the short-wave infrared camera (3) with the far-field background. By means of comparative analysis on a final image, all-day evaluation of a laser far-field light spot, atmospheric visibility, and target reflectivity can be achieved.

The embodiment of the invention provides a sewage draining exit temperature abnormity monitoring method and system, and can solve the problems of narrow coverage range, poor real-time performance, high labor cost and low detection precision of traditional monitoring means such as manual inspection and fixed monitoring stations. The method comprises the following steps: acquiring a sewage draining exit area image through an infrared camera carried by an unmanned aerial vehicle, so as to obtain radiation brightness indicated by at least three long-wave infrared bands based on the sewage draining exit area image; respectively calculating corresponding real radiance based on the obtained radiance indicated by the at least three long-wave infrared bands; a temperature inversion model is constructed according to the obtained real radiation brightness of the at least three long-wave infrared bands so as to establish the statistical relation between the radiation ratio and the temperature, and the temperature inversion model is determined according to the inter-band radiation ratio of the at least three long-wave infrared bands.

The invention provides a steel pipe production data detection method and system, and belongs to the technical field of image processing, and the method comprises the steps: obtaining a first thermal infrared image of a to-be-detected steel pipe at a first moment based on a thermal infrared sensor, and obtaining a second thermal infrared image of the to-be-detected steel pipe at a second moment based on the thermal infrared sensor; the second thermal infrared image corresponds to the first thermal infrared image, finally, analyzing the wall thickness distribution of the to-be-detected steel pipe based on the first thermal infrared image and the second thermal infrared image, and determining whether the to-be-detected steel pipe is qualified or not according to an analysis result. According to the steel pipe production data detection method and system, whether the wall thickness of the steel pipe is uniform or not is determined according to the temperature change condition during natural cooling of the steel pipe and whether the cooling process of the steel pipe is uniform or not under the condition that the steel pipe is not affected by the external environment, direct detection can be conducted through the long-wave thermal infrared imager, and the detection accuracy is high. And compared with the traditional X-ray or sound wave detection, the detection is quicker, and the cost is also saved.

The invention discloses a sulfur hexafluoride leakage detection method based on cooperation of long-wave infrared and thermal infrared spectrums, the sulfur hexafluoride leakage detection method is applied to a sulfur hexafluoride leakage detection device, and the sulfur hexafluoride leakage detection method comprises the following steps: carrying out calibration and parameter configuration on the sulfur hexafluoride leakage detection device; long-wave infrared spectrum and thermal infrared temperature field data are synchronously collected, preprocessing and time-space matching are carried out on the long-wave infrared spectrum and the thermal infrared temperature field data, leakage identification parameters are obtained, the thermal infrared temperature field data are temperature values of pixel points of a temperature field image, parameter calculation and risk early warning are carried out on the leakage identification parameters, and the leakage identification result is obtained. And obtaining a detection report. According to the invention, the sensitivity and accuracy of sulfur hexafluoride leakage detection can be improved.

This invention discloses a method for fabricating a highly sensitive long-wavelength infrared superconducting single-photon detector. It fully utilizes and amplifies the acoustic mismatch effect between the superconducting thin film and the substrate to achieve phonon localization enhancement on the superconducting nanowires. The effect of this innovative design is to increase the energy utilization rate of long-wavelength infrared photons on the superconducting nanowires, thereby improving the response sensitivity of the superconducting nanowires to long-wavelength infrared photon signals. Compared to existing designs that reduce the cross-sectional size of the superconducting nanowires, create holes beneath the nanowires, or increase the buffer layer, this invention is easier to implement and has higher scalability.

The photovoltaic module comprises a back contact cell main body and a light storage layer, the back contact cell main body comprises a back contact cell and a light conversion layer, the light conversion layer is arranged on the light receiving surface of the back contact cell, the light storage layer is connected with the back contact cell main body through a hinge structure, and the light storage layer can at least partially cover the light conversion layer. The light conversion layer can convert ultraviolet light and long-wave infrared light which are difficult to absorb by crystalline silicon into high-response visible light / near-infrared light, so that the effective incidence and absorption efficiency of front light is improved; the light storage layer is connected to the back contact cell main body in a hinge structure mode, the light storage layer can be opened through the hinge structure to effectively store sunlight under high illumination intensity, then the hinge structure at least partially covers the light conversion layer, the stored energy can drive the light conversion layer to release high-response photons, and the light conversion layer can release high-response photons. An effective light source is continuously provided for the back contact battery, and the daily effective power generation duration is prolonged.

The invention discloses a long-wave infrared detector based on electric field intensity distribution regulation and control and a preparation method, and relates to the technical field of semiconductors, the long-wave infrared detector comprises a substrate, a bottom contact layer, a hole barrier layer, an absorption layer, an electron barrier layer and a top contact layer which are sequentially arranged from bottom to top; wherein the bottom contact layer and the hole barrier layer adopt an InAs / GaSb / AlSb / GaSb superlattice structure; the absorption layer, the electron barrier layer and the top contact adopt an InAs / GaSb superlattice structure; the doping concentration of the absorption layer is greater than the doping concentration of the hole barrier layer and the electron barrier layer. The doping concentration of the absorption layer is set to be greater than that of the barrier layer, so that the width of a depletion region of the absorption layer is reduced, the depletion region deviates towards the barrier layer, the probability of SRH recombination is reduced, G-R current can be effectively inhibited, and the overall dark current level is reduced.

The application discloses a long-wave infrared dynamic space modulation device and method based on double coding apertures, and belongs to the technical field of optics. The application avoids the diffraction effect in the long-wave infrared space modulation process by selecting a large-size coding pixel coding aperture, adopts a double coding aperture space light modulation structure, separately performs space modulation on target light beams, and realizes coding effect superposition through beam combination, so that the space modulation resolution of the large-size coding pixel coding aperture is improved. On the premise of guaranteeing the space modulation resolution requirement and without increasing the coding aperture area, the diffraction effect in the long-wave infrared space modulation process is avoided by selecting the large-size coding pixel coding aperture. The application introduces the use of a displacement table, and the position of the moving coding template is transformed for multiple times within the single information acquisition time of the system, so that the effective coding area in the optical path is transformed, more coding superposition effects are generated, and the coding resolution and the coding gray scale are further improved.

This invention discloses a refraction-based long-wave infrared athermalized objective lens. From the object side to the image side, it comprises, in order, a first lens, a second lens, a third lens, a fourth lens, an optical filter (ICR), and an imaging surface (IMA). The first lens is a negative meniscus lens, the second lens is a positive meniscus lens, and both the third and fourth lenses are meniscus lenses. This objective lens has a simple structure, a stable optical axis, and high system reliability. It can meet the requirements of high-definition image quality at infinity at ambient temperatures between -40°C and +50°C without requiring focusing.

This invention discloses an on-board calibration method for a long-wave infrared hyperspectral imager based on an adaptive composite model. The method includes: step 1, constructing a radiometric calibration dataset; step 2, constructing a physically constrained composite calibration model; step 3, adaptive global optimization of the model order and parameters; step 4, generating the blackbody radiometric calibration equation within the half-optical path; step 5, generating the external blackbody calibration equation within the full-optical path; step 6, establishing an internal-external blackbody conversion model; and step 7, on-board calibration of the long-wave infrared hyperspectral imager. By establishing the conversion relationship between the internal and external blackbody radiance across the entire dynamic range, the method effectively compensates for systematic deviations caused by thermal radiation and transmittance attenuation of the front optical path components. This ensures that during on-orbit operation, high-precision equivalent entrance pupil radiance can be obtained by relying on the on-board internal blackbody, solving the calibration reference drift problem caused by optical path differences.

This invention discloses a 22.5mm-102mm long-wave infrared continuous zoom lens, comprising a front fixed group, a zoom group, a compensation group, and a focusing group arranged sequentially along the transmission direction of the incident beam; each of the front fixed group, zoom group, compensation group, and focusing group has a lens; the front fixed group is a meniscus lens with positive optical power, the first object-side surface is convex, and the first image-side surface is concave; the zoom group is a meniscus lens with negative optical power, the second object-side surface is convex, and the second image-side surface is concave; the compensation group is a meniscus lens with positive optical power, the third object-side surface is convex, the third image-side surface is concave, and the second image-side surface is concave; the focusing group is a meniscus lens with positive optical power, the fourth object-side surface is convex, and the fourth image-side surface is concave; and satisfies 0.3 / mm < TTL / ImgH / f < 1.8 / mm and 1.00 < FNO < 1.25. The present invention provides a 22.5mm-102mm long-wave infrared continuous zoom lens with high pixel resolution and adaptability to outdoor environments.