520 results about "Radiant intensity" patented technology

The invention discloses a distributed real-time monitoring and early warning system for a temperature field of a smelting furnace, and relates to the technical field of industrial process intelligent monitoring. The problems of accumulated measurement errors and non-stationary hotspot escape reconstruction hysteresis caused by static emissivity setting in an existing system are solved. Collecting multiband radiation intensity and voltage signals through time domain alignment of the multispectral sensor array and the thermocouple array; iterating emissivity parameters in real time by adopting a dynamic ash body spectrum ratio algorithm in combination with flue gas absorption characteristics; fusing non-contact and contact temperature measurement data based on weighted Kalman filtering and complementary filtering; constructing a space-time variable covariance function to carry out non-stationary Kriging interpolation; dynamically optimizing the local grid resolution by combining an adaptive grid module; the processing flow is accelerated through the parallel computing module; early warning is triggered based on abnormal probability judgment and is fed back to emissivity correction and grid optimization; according to the invention, the monitoring precision and real-time performance of the temperature field are obviously improved, and the risks of false alarm, missing alarm and equipment melting loss are effectively inhibited.

The invention relates to an optically controllable switching device having a first and second line section, between which an optically controllable switch (T2) is inserted, and having a sensor element (SE). The optically controllable switch (T2) disconnects or connects depending on an optical switching signal (SB), whether the switch is "on" or "off". The sensor element (SE) comprises a carrier material (TM) with crystals comprising one or more paramagnetic centers (NV). When irradiated with pump radiation (LB), the sensor element (SE) emits fluorescent radiation (FL) which depends on the magnetic flux density B at the location of the sensor element (SE). A line current (I LTG) in the first line section of the line (LTG) generates a magnetic field with a flux density B which, with sufficient current strength, influences the fluorescent radiation (FL) from one or more paramagnetic centers (NV). The optically controllable switching device has first means (LWL1, PL1, LIV) for irradiating the one or more paramagnetic centers (NV) with pump radiation (LB) and second means (LWL2, F1, PD, LIV) for detecting and separating the fluorescent radiation (FL) and for detecting a measured value signal which depends on the intensity of the fluorescent radiation (FL) and / or on the phase shift of the modulation signal of the temporal profile of the intensity of the fluorescent radiation (FL). The optically controllable switching device has third means (LIV) for generating an optical switching signal (SB) and for controlling the state of the optically controllable switch (T2) using this optical switching signal (SB).The optical switching signal (SB) depends on the intensity of the fluorescence radiation (FL) and / or on the phase shift of the modulation signal of the temporal course of the intensity of the fluorescence radiation (FL).

The invention relates to microwave-free sensor technology with NV centers in diamond. In contrast to the prior art, the intensity of the pump radiation is not PWM-modulated, but monofrequency and sinusoidally modulated. Further measures, such as the use of semiconductor-based pump radiation sources and operation with an offset, prevent the formation of harmonics in the temporal intensity profile of the pump radiation irradiating the NV centers in the sensor element. This allows the sensor system to use the phase shift to determine measured values ​​of external physical parameters such as magnetic flux density, acceleration, temperature, etc., within a recognized and disclosed frequency range of the intensity modulation of the pump radiation, thereby minimizing the influence of noise from the pump radiation source. The galvanic isolation does not need to be compromised by cables from additional sensors.

The invention relates to a purely optical fuse with a first and second line section, between which an optically controllable switch (T2) is inserted, and with a sensor element (SE). The sensor element (SE) comprises a carrier material (TM) with crystals comprising one or more paramagnetic centers (NV). When irradiated with pump radiation (LB), the sensor element (SE) emits fluorescent radiation (FL) that depends on the magnetic flux density B at the location of the sensor element (SE). A line current (I LTG) in the first line section of the line (LTG) generates a magnetic field with a flux density B which, with sufficient current strength, influences the fluorescence radiation (FL) from one or more paramagnetic centers (NV). The optically controllable switching device has first means (LWL1, PL1, LIV) for irradiating the one or more paramagnetic centers (NV) with pump radiation (LB) and second means (LWL2, F1, PD, LIV) for detecting and separating the fluorescence radiation (FL) and for detecting measured values which depend on the intensity of the fluorescence radiation (FL) and / or on the phase shift of the modulation signal of the temporal progression of the intensity of the fluorescence radiation (FL). The purely optical fuse compares these measured values with intensity and / or phase shift threshold values.The optically controllable switching device has third means (LIV) for generating an optical switching signal (SB) depending on the comparison result and for controlling the state of the optically controllable switch (T2) with this optical switching signal (SB).

The invention provides a radiation field high-precision reconstruction method based on dynamic geometry aggregation, and relates to the technical field of radiation field reconstruction and computational physics crossing. The method comprises the following steps: extracting a corresponding attenuation coefficient as a priori value; generating a Gaussian radiation element at the position of the monitoring point; calculating the radiation intensity of any point in the space; suppressing mutation of attenuation coefficients of adjacent primitives; gathering to a high dose zone or dispersing to a low dose zone; and generating three-dimensional radiation dose rate distribution by adopting a differentiable split rendering pipeline, and calculating the radiation intensity of any query point in real time by outputting a parameterized Gaussian primitive set. Through the dynamic Gaussian primitive aggregation-physical constraint optimization dual-drive reconstruction framework, the radiation field distribution can still be accurately restored under the sparse detector condition, the error is greatly reduced compared with the traditional method, and the calculation efficiency is obviously improved.

The invention belongs to the technical field of photo-thermal performance detection of building envelope structures, and particularly relates to a light-transmitting roof photo-thermal performance detection device under various meteorological conditions and a detection method of the light-transmitting roof photo-thermal performance detection device. The invention discloses a light-transmitting roof photo-thermal performance detection device under various meteorological conditions. The device comprises a heat metering device, an air supply and return system, a water supply and return system, a control system and an external environment simulation device, wherein the external environment simulation device comprises an external environment box and an artificial light source; the light-transmitting roof test piece is installed on the lower side wall of the external environment box, and the external environment simulation device and the spraying device are used for simulating the environment conditions of different steady-state meteorological conditions and dynamic meteorological conditions under the spraying condition; the spraying device comprises a nozzle; a first light source radiation intensity sensor, a second light source radiation intensity sensor and a first illuminance sensor are further arranged in the outer environment box. According to the invention, the photo-thermal performance of the light-transmitting roof under the spraying condition can be accurately evaluated.

The invention discloses a 3DGS-based integrated visual angle synthesis and sparse visual angle CT reconstruction method, which comprises the following steps: establishing an internal and external parameter matrix through X-ray scanning parameters, constructing an initial voxel space and an initialized 3DGS radiation field by combining sparse visual angle projection data and based on an ACUI strategy, modeling anisotropic radiation intensity by utilizing a radiation intensity response function, and reconstructing a 3D visual angle CT model. And generating a virtual projection by adopting volume consistency rendering. And the optimized radiation field is converted into a voxel grid, density contribution is applied to carry out voxel space reconstruction, a reconstructed voxel space is obtained, and a new 3DGS radiation field is generated. And re-rendering the virtual visual angle projection based on the new 3DGS radiation field, performing iterative optimization by using a loss function, and outputting a new visual angle synthetic image and a CT reconstruction body until a preset number of iterations is reached. And an efficient process of one-time training and dual output is realized. The efficiency and precision of X-ray imaging are improved, the radiation dose of a patient is reduced, and meanwhile, a higher-quality imaging solution is provided for medical diagnosis.

The invention belongs to the technical field of optics, and particularly relates to a terahertz radiation source system of an air plasma antenna, which comprises a laser, an air plasma generation unit, a terahertz radiation generation unit, a terahertz waveguide and transmission system, a detection analysis unit and a control synchronization system, the laser device is a high-power femtosecond laser device and is used for generating ultra-short pulse laser, the pulses can excite plasma in the air, and the problem that a traditional photoconductive antenna terahertz source is low in terahertz radiation intensity due to limitation of a material damage threshold value is solved; the bandwidth of terahertz radiation can be regulated and controlled by adjusting the distance between the plasma antennas, and the interval time of switching on the plasma antennas can be controlled by controlling the delay time of the third beam of laser, so that the regulation and control of the terahertz wave intensity are realized.

The invention discloses an intelligent earth surface solar radiation forecasting method based on satellite remote sensing, and belongs to the field of information technology and meteorological technology. The method comprises the following steps: S1, acquiring geostationary satellite observation data, satellite inversion earth surface solar radiation data and terrain factor data, and executing Z-score standardization processing; s2, performing dimensionality reduction on the standardized input sequence and the target data by using a pre-training auto-encoder to obtain latent variables of a historical sequence and a future cloud picture observation sequence; s3, inputting the dimension-reduced historical sequence into a conditional potential space diffusion model, modeling the historical satellite cloud picture sequence, and predicting a probabilistic potential variable of a cloud picture at a future moment; converting the solar radiation prediction result into a corresponding earth surface solar radiation prediction result through an inversion model; and S4, the self-encoder is adopted to perform dimension raising to obtain a final prediction result. According to the method, based on a frequency domain and space domain multi-modal feature adaptive fusion mechanism, while a complex cloud-radiation relation is modeled, predicted structural consistency and physical rationality of radiation intensity are kept.

The invention provides a multi-scale photovoltaic power prediction method and system fusing numerical weather forecast and a physical information neural network, relates to the technical field of photovoltaic power prediction, and realizes rolling prediction of future meteorological parameters and horizontal radiation intensity through numerical weather forecast. The authenticity and the stability of the meteorological data are effectively improved by combining quantile mapping and cascade correction of the time sequence mode attention neural network; and through combined modeling of a physical information neural network and a time sequence characteristic network, meteorological and radiation data subjected to multi-level correction and conversion are deeply fused with a photovoltaic system physical law, and high-precision prediction of photovoltaic power is realized. The whole prediction process has automatic anomaly elimination and deletion complementation capabilities, the prediction robustness under complex meteorological conditions and extreme environments is enhanced, and the sequential response and physical consistency of photovoltaic power are optimized, so that the engineering applicability and intelligent level of the system are greatly improved.

The invention relates to an airglow layer gravity wave spectrum temperature imaging system and a two-dimensional temperature field point-surface fusion inversion method. The airglow layer gravity wave spectrum temperature imaging system comprises a fine spectrum detection subsystem, a rotation temperature spectrum measurement subsystem and a large-view-field gravity wave imaging subsystem. The three subsystems are respectively provided with three progressively-increased field angles and carry out synchronous detection, a detection area and a detection target are organically cooperated, image and data processing is carried out in the later period, and the fine spectrum detection subsystem and the rotating temperature spectrum measurement subsystem carry out cooperative calibration, so that high-precision inversion of the atmospheric temperature can be realized. And the linear relation between the airglow radiation intensity and the atmospheric temperature is obtained. A small, medium and large field-of-view collaborative observation mode is adopted, and through a point-surface fusion detection method and a data inversion algorithm, a linear relationship between high-accuracy airglow radiation intensity constructed by single-point detection and atmospheric temperature is expanded and fused to an airglow radiation field with a horizontal two-dimensional resolution capability; therefore, the temperature field with the same detection precision and the horizontal two-dimensional resolution capability is obtained.

The invention discloses a temperature control method for low-temperature high-NOx-concentration flue gas denitration in the nuclear industry, and relates to the technical field of flue gas denitration control. According to the method, flue gas temperature time sequence distribution, NOx concentration gradient and environment radiation intensity data are integrated through a space-time alignment algorithm, a synchronous data matrix representing a system coupling state is generated, then a temperature and efficiency response curved surface is established, a high-efficiency temperature area and an inactivation risk area are dynamically divided through fuzzy logic control, and an optimal temperature regulation and control threshold value is recognized. The drift effect of quantitative radiation on the surface temperature of the catalyst is analyzed through regression, a quantitative relation model of radiation dose and temperature zone deviation is established, and real-time correction of anti-radiation compensation parameters is achieved. And finally, optimizing the multi-objective cost function by adopting a non-dominated sorting genetic algorithm, and obtaining dynamic balance between the maximum NOx conversion rate and the minimum temperature fluctuation. And multi-parameter coupling control of a temperature field and a radiation field is realized, and the denitration efficiency stability under a low-temperature condition is remarkably improved.

The invention relates to a method and system for correcting the material level of a dedusting ash hopper. The method comprises the steps that under the condition that a correction triggering condition is met, a radiation reference value corresponding to a current target material type in an ash hopper is determined, and the radiation reference value can represent the radiation intensity of the ash hopper in a full material state; storing the radiation reference value; in response to the received material level monitoring request, acquiring an actual detection value of the current radiation intensity of the ash bucket as a target detection value; and according to the radiation reference value and the target detection value, the material level information of the ash hopper is determined. Therefore, by updating the radiation reference value in real time, the radiation reference value always corresponds to the actual material type in the ash bucket, the problem of measurement errors caused by material type changes is effectively avoided, and then the accuracy and reliability of material level monitoring are guaranteed. Moreover, by storing the radiation reference value, a stable reference basis can be provided for subsequent material level monitoring, and the intelligent level and adaptability of material level monitoring are further improved.

The invention relates to microwave-free sensor technology with NV centers in diamond. In contrast to the prior art, the intensity of the pump radiation is not PWM-modulated, but monofrequency and sinusoidally modulated. Further measures, such as the use of semiconductor-based pump radiation sources and operation with an offset, prevent the formation of harmonics in the temporal intensity profile of the pump radiation irradiating the NV centers in the sensor element. This allows the sensor system to use the phase shift to determine measured values ​​of external physical parameters such as magnetic flux density, acceleration, temperature, etc., within a recognized and disclosed frequency range of the intensity modulation of the pump radiation, thereby minimizing the influence of noise from the pump radiation source. The galvanic isolation does not need to be compromised by cables from additional sensors.

The invention provides an electron irradiation dose on-line measurement and feedback calibration system and method, and relates to the technical field of automation control, and the system comprises a processing module which is used for converting an original dose signal into a five-path digital reading sequence, carrying out the timestamp alignment and space coordinate calibration of the five-path digital reading sequence, and outputting a calibration result; generating a three-dimensional discrete coordinate data set representing radiation field intensity space distribution; and the extraction module is used for identifying a radiation intensity global maximum value point from the three-dimensional discrete coordinate data set as a spatial registration origin, extracting two feature straight lines representing a radiation scattering dominant direction, and calculating a spatial orientation included angle between the two feature straight lines to determine a radiation scattering main influence area. According to the invention, precise processing of an original dose signal, scientific positioning of a radiation influence area and construction of a dynamic compensation model are realized through cooperation of multiple modules, a high-confidence dose value can be output, feedback calibration is completed based on a time sequence drift trend, and the precision and reliability of on-line measurement of the electron radiation dose are effectively guaranteed.

The invention relates to the technical field of infrared thermal imaging, in particular to a gas leakage quantitative calibration method and system based on multispectral feature fusion, and the method comprises the steps: configuring a multiband blackbody radiation source; building a simulated gas cloud cluster environment, obtaining configuration parameters in real time, and performing classified collection on the configuration parameters to construct a four-dimensional parameter space; acquiring infrared thermal imaging data corresponding to the simulated gas cloud cluster environment, and associating the infrared thermal imaging data with the four-dimensional parameter space to form a structured sample set; sharing the structured sample set by using a dual-channel 3D-CNN to extract radiation intensity features and cloud cluster morphological features, and splicing the radiation intensity features and the cloud cluster morphological features to obtain a fusion feature vector; non-linear mapping based on deep learning is carried out on the fusion feature vector to output a concentration prediction value; and introducing an atmospheric transmission correction factor to correct the concentration predicted value so as to obtain a concentration accurate value. The method has the effect of improving the accuracy of gas leakage concentration calibration.

The invention relates to the technical field of carbon detection, in particular to an online real-time dynamic detection method for the carbon content of converter steelmaking molten steel, which comprises the following steps: acquiring multi-source sensing data, and acquiring a molten steel surface temperature image acquired by a thermal infrared imager; acquiring multiband spectral data, namely controlling a visible band sensor to acquire radiation intensity in a range of 500-600nm, and controlling a near-infrared band sensor to acquire reflectivity characteristics in a range of 850-1100nm; analyzing and fusing the data, analyzing the temperature image, and generating a molten pool two-dimensional temperature field; analyzing the multiband spectral data, and extracting a spectral feature vector related to the carbon content; fusing the two-dimensional temperature field and the spectral feature vector, and generating a molten steel surface carbon content distribution diagram based on a pre-trained carbon content machine learning model; and outputting an optimized detection result, processing multi-node data through a distributed computing framework, and outputting a dynamic carbon content detection report. According to the invention, the effects of breaking through the limitation of traditional static detection, real-time component monitoring, full molten pool covering and dynamic feedback are achieved.

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 multi-target path planning method and device, equipment and a storage medium, and relates to the technical field of traffic path planning, and the method comprises the steps: obtaining solar radiation data and original map data, carrying out the multi-source data fusion based on the solar radiation data and the original map data, and obtaining the radiation road network data; based on the radiation road network data, a total cost function of the path length is constructed through an accumulated cost function of the path length and a heuristic function of the estimated cost, and candidate paths are generated according to the total cost function; on the basis of the radiation road network data, calculating the path average radiation intensity of the candidate path, and further obtaining the energy recovery amount of the candidate path; constructing a dual-target cost function based on the total cost function and the energy recovery amount, adjusting node priorities and screening and updating a non-dominated solution set according to the dual-target cost function, and generating a target candidate path set according to the non-dominated solution set; and determining an optimal balance path in the target candidate path set through multi-dimensional index quantitative evaluation and balance coefficient sorting.

The present invention relates to a device for measuring a line current. Said device comprises at least three sensor elements having paramagnetic centres, a pump-radiation source, an optical system, and at least three photodetectors which function as part of receiving systems and are each associated with a sensor element. In addition, the device contains two magnetic field sources which generate different bias magnetic fields for each sensor element. The pump-radiation source emits pump radiation into the optical system, which distributes the pump radiation to the sensor elements and thereby irradiates the paramagnetic centres with the pump radiation. These centres emit fluorescence radiation, the intensity and phase shift of which depend on the AC drive signal of the evaluation and control device and on the magnetic flux density acting upon them. The fluorescence radiation is separated from the pump radiation by the optical system and guided onto the photodetectors. The evaluation and control device generates a single-frequency sinusoidal AC drive signal having a frequency of 22 MHz (-4 MHz / +7 MHz), or within a range of 18 MHz to 29 MHz. The lock-in amplifiers are coupled to the sensor elements and evaluate the output signal of the photodetectors with respect to the AC drive signal in order to produce measurement values. Based on these measurement values, the evaluation and control device determines an estimated value for the magnitude of the line current in the line.

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 discloses a coal-fired boiler combustion instability monitoring method and system based on multi-parameter fusion, and the method comprises the steps: constructing a hearth flame imaging system which comprises an image detector, a lens, a stainless steel cavity and a cooling air channel; the flame image intensity is converted into radiation intensity through blackbody furnace calibration, and the flame temperature and emissivity are calculated based on the Planck law; extracting flame characteristic parameters including average radiation intensity, temperature, emissivity and standard deviation thereof; constructing a load-flame characteristic parameter model, and predicting parameter reference values under different loads through multiple linear regression; and calculating a combustion instability index CII, carrying out weighted fusion on the normalized deviation of the real-time measured value and the predicted value, and judging that CII is equal to 1 when the flame area is 0 or the average temperature is lower than 900 DEG C. The flame radiation image and the unit operation parameters are fused, and the limitation of traditional single-parameter monitoring is solved; combustion instability dynamic quantitative evaluation is achieved through the CII index, and the method is suitable for early warning of the deep peak regulation working condition.

The invention provides an infrared ship image expansion method based on an unreal engine and StyleGAN3. The method comprises the following steps: calculating ship surface radiance distribution field texture and atmospheric radiation transmission data; constructing a simulated infrared sea surface based on an unreal engine; obtaining a three-dimensional dynamic infrared simulation scene based on an unreal engine; obtaining a training sample set; performing iterative training on the pattern generative adversarial network; and obtaining an expansion result of the infrared ship image. According to the method, iterative training is carried out on the StyleGAN3 through the simulated infrared sea surface and three-dimensional dynamic infrared simulation scene information obtained based on the unreal engine, so that the simulation rendering capability of the engine is fully utilized, and meanwhile, more high-resolution characteristics can be reserved; and the training sample set contains more feature changes brought by the feature distribution simulation image of the real shot infrared ship image, so that the resolution and fidelity of the expanded image are effectively improved.

A method includes determining whether a variation in probe radiation intensity meets a stability criterion; directing the probe radiation through a probe, when the probe is disposed at a first position, defining a first path length L1 of the probe radiation through the fluid sample; measuring a transmitted intensity I1 of the probe radiation after passing through the fluid sample when the probe is disposed at the first position; directing the probe radiation through the probe when the probe is disposed at a second position, defining a second path length L2 of the probe radiation through the fluid sample; measuring a transmitted intensity I2 of the probe radiation after passing through the fluid sample when the probe is disposed at the second position; and determining a concentration C of a material in the fluid sample based upon L1, I1, L2, and I2, when the stability criterion is met.

The invention relates to a non-Lambert surface emissivity inversion method, belongs to the technical field of infrared optical measurement and radiation modeling, solves the technical problems of low precision and poor model stability of non-Lambert surface emissivity inversion, and comprises the following steps: measuring original radiation intensity of a non-Lambert surface of a to-be-tested material in different emergent directions; converting the original radiation intensity into directional reflectivity; on the basis of the generalized Lorentz function, diffuse reflection background items are superposed, and a physical prior model is constructed; physical constraint is carried out on the physical prior model parameters; the parameter residual network generates a parameter field, and the parameter field is input into the optimized physical prior model; and carrying out hemispherical integration, and converting the directional reflectivity into directional-hemispherical emissivity. The device and the method are used for infrared thermal imaging measurement, material radiation characteristic characterization and engineering detection in a complex environment.

A system may include a light source, to generate a probe signal, comprising incident radiation; an optical probe, to direct the incident radiation through a fluid sample; a motor, to move the optical probe along a probe axis, to change a path length of the incident radiation through the fluid sample; and a detector, to receive the incident radiation as attenuated radiation after passing through the fluid sample. The system may include a control system, arranged to: initiate an absorbance measurement by directing movement of the optical probe along the probe axis; direct the light source to emit the incident radiation; and automatically adjust at least one measurement parameter of a set of measurement parameters for the sample measurement, based upon a slope parameter m, wherein m is derived from a rate of change in an intensity of the attenuated radiation with a change in the path length.

The application provides a kind of dual-band infrared temperature measurement method and temperature monitoring method and computing device, the method comprises: determining the wavelength range corresponding to first temperature interval and second temperature interval, the first temperature interval and the second temperature interval include first temperature, second temperature and third temperature, the first temperature and the second temperature determine the first temperature interval, the second temperature and the third temperature determine the second temperature interval;Select fourth temperature in the first temperature interval and the second temperature interval;At the fourth temperature, change wavelength in the wavelength range, obtain the relationship curve of radiation intensity and radiation wavelength;Determine the selected wavelength on the relationship curve;The selected wavelength is used for the temperature measurement of the first temperature interval and the second temperature interval.According to the technical scheme of the application, more accurate dual-band measurement temperature is realized.

The invention provides an air motion weak point target detection method and system based on an infrared sequence image. The method comprises the following steps: obtaining an infrared sequence image with at least one moving target; the infrared sequence image comprises frame radiation intensity diagrams with continuous time, and the frame radiation intensity diagrams are positive integers greater than 1; processing the frame radiation intensity graph to obtain a frame difference mean value graph; calculating to obtain an optimal segmentation threshold value through a maximum between-class variance method by utilizing the difference mean value diagram; taking the optimal segmentation threshold as a threshold, and performing binarization processing on each differential mean image to obtain a frame candidate point binary image; in the candidate point binary image, a pixel point with a pixel value of 1 is a target position candidate point; adding all the candidate point binary images to obtain a candidate point aggregation image with all the target position candidate points; and obtaining a linear motion track of each moving target based on the target position candidate points in the candidate point aggregation graph.

The invention discloses a vehicle window control method, system and device and a vehicle. The method comprises the following steps: acquiring optical parameters of light incident to a first window area of a vehicle at the first time, wherein the optical parameters comprise first illuminance and first optical radiation intensity; and setting optical performance parameters of the first vehicle window area according to the optical parameters. According to the embodiment of the invention, the optical performance parameter of the first vehicle window area is cooperatively set by combining the illuminance and the optical radiation intensity, so that the dynamic environment response capability of the vehicle window glass color changing function can be remarkably improved, and the effects of intelligently identifying complex illumination scene changes and adaptively adjusting vehicle window glass color changing are achieved; moreover, the implementation of the embodiment of the invention does not depend on high-cost materials, so that the cost is also saved.

This invention discloses a method and system for detecting wall radiation information through flame penetration. The method determines the radiation wavelength range, and within this range, establishes a wall radiation intensity detection model and a flame radiation intensity detection model, showing the distribution of wall radiation intensity and flame radiation intensity with radiation wavelength. It also obtains the radiation wavelength λ when the wall radiation intensity equals the flame radiation intensity. eq The peak wavelength λ when the wall radiation intensity is at its maximum. max When the radiation wavelength λ eq Less than the peak wavelength λ max At that time, the wavelength for detecting wall radiation information is the peak wavelength λ. max When the radiation wavelength λ eq Greater than the peak wavelength λ max At that time, the wavelength for detecting wall radiation information is the radiation wavelength λ. eq The wall radiation information is detected according to the detection wavelength determined above. The present invention finds a suitable band range for wall radiation detection by accurately quantifying wall radiation and flame radiation, and can obtain wall radiation information by penetrating the flame.