786 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 discloses a light field tomography system and a flame three-dimensional temperature field reconstruction method, and belongs to the technical field of flame temperature measurement. The problem that the temperature field reconstruction error of an existing light field tomography method is large is solved. The method comprises the following steps: firstly, shooting a light field image of a measured flame by using a light field tomography system, dividing a space region where the measured flame is located into micro-element bodies, and then performing flame radiation ray tracing from each pixel point on the light field image of the measured flame; establishing a radiation transfer equation set according to a tracing result of flame radiation light, obtaining a reconstruction equation set according to the established radiation transfer equation set, and solving the reconstruction equation set based on multi-point accurate temperature measurement value information of a thermocouple to obtain black body spectrum radiation intensity of each infinitesimal body of the flame; and finally, converting the black body spectrum radiation intensity of each infinitesimal body into the temperature of each infinitesimal body to realize temperature field reconstruction. The method can be applied to flame three-dimensional temperature field reconstruction.

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 utility model discloses an acousto-optic coupling three-dimensional flame area temperature field monitoring system, which comprises a computer, a power amplifier, a relay, a loudspeaker, a microphone and a signal analyzer which are sequentially connected, and further comprises a three-dimensional rack, a light field camera and a blackbody furnace, a plurality of groups of loudspeakers and microphones are arranged, and each group of loudspeakers and microphones are located at the same position on the three-dimensional rack; the signal input end of the light field camera is respectively connected with the three-dimensional flame and the blackbody furnace in the three-dimensional rack, and the signal output end of the light field camera is connected with the signal input end of the computer; the blackbody furnace is used for the light field camera to calibrate the relationship between the gray level of the two-dimensional layered flame original brightness image and the radiation intensity; measurement targets of the system are gas temperature and three-dimensional flame temperature in a three-dimensional to-be-measured area which is surrounded by a three-dimensional rack and contains three-dimensional flame, the overall temperature of a gas medium in a three-dimensional space is measured by using a non-contact sound velocity method temperature measurement principle, and a more comprehensive contribution is made to temperature monitoring of a key area of a hearth.

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 reflective slot antenna for RFID tag inventory, and relates to the technical field of antenna design, the slot antenna design scheme of the invention greatly enhances the directionality and signal coverage capability of the antenna through a phase control algorithm and slot arrangement optimization, and improves the signal coverage capability of the antenna through adjusting the phase difference and the slot spacing. The radiation intensity of the antenna in multiple directions is enhanced, blind areas are effectively reduced, multi-path interference is effectively identified and suppressed through a multi-path signal processing algorithm and an LMS minimum mean square error algorithm, and the antenna can automatically adjust the phase of reflection current and filter reflection signals, so that the signal quality of a complex reflection environment is guaranteed, and the signal quality is improved. In addition, an adaptive array antenna system and a beam forming technology are introduced, so that the antenna can dynamically adjust the phase and amplitude of an array unit according to real-time data fed back by the RFID tag, thereby forming a directional beam, concentrating energy to a specific direction, and improving the recognition precision in a specific area.

The invention discloses a special-shaped metal roof temperature field distribution detection method, which realizes refined temperature monitoring by discretizing a special-shaped metal roof and cutting the special-shaped metal roof into equidistant three-dimensional points by adopting grids, and comprehensively considers geometric parameters, external factors and various heat transfer modes including solar radiation, heat convection and long-wave radiation during temperature calculation. According to the method, the calculation comprehensiveness and accuracy are ensured, the thermal environment of the metal roof is truly reflected by accurately calculating the solar radiation intensity, the heat convection heat flux density and the long-wave radiation heat flux density, finally, the discrete temperature value is converted into a continuous temperature field graph through interpolation processing, and the temperature distribution of the special-shaped metal roof is visually displayed.

The invention relates to a radiation control method and device applied to a mobile C-shaped arm, equipment and a medium, and the method comprises the steps: obtaining the radiation data of each direction of a to-be-detected region corresponding to a skeleton instrument, and determining the radiation intensity of the to-be-detected region according to the radiation data of each direction; under the condition that the radiation intensity exceeds a preset threshold value, according to a difference value between the radiation intensity and the preset threshold value, obtaining an adjustment parameter through a trained neural network PID model; and adjusting operation parameters of the skeleton instrument according to the adjustment parameters. The C-shaped arm skeleton instrument has the effect of improving the anti-radiation performance and safety of the C-shaped arm skeleton instrument.

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 relates to a hyperspectral remote sensing image radiation normalization method, in particular to a hyperspectral remote sensing image relative radiation normalization method based on pseudo-invariant region pairs, and solves the technical problems that an existing pixel-based relative radiation normalization method is low in space matching precision and has spectral feature deviation. According to the method, a pseudo-invariant region is screened by adopting super-pixel segmentation, morphological processing and super-pixel guiding methods, then relative radiation normalization is performed on a to-be-corrected highlight remote sensing spectrum image through adaptive learning by adopting a self-correction model based on spatial spectrum constraint, and a quantitative method is adopted to correct the relative radiation of the to-be-corrected highlight remote sensing spectrum image. Not only can the spatial spectrum characteristics of the hyperspectral remote sensing image be fully utilized, but also the radiation intensity of the hyperspectral remote sensing image under different time phases can be adaptively corrected, and the consistency between time sequences and the quantitative inversion precision are improved, so that the accuracy and consistency of relative radiation normalization are improved, and the accuracy and the reliability of the relative radiation normalization are improved. The method is suitable for radiation normalization of hyperspectral remote sensing images with high spatial resolution and complex ground object scenes.

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 discloses a method for calculating the infrared radiation intensity of an aerial point source target, and the method comprises the steps: calibrating an infrared detector, determining the response gain coefficient and the pixel offset of each pixel of an infrared image through the calibration, and constructing a response gain coefficient matrix and a pixel offset matrix; determining the radiation brightness of each pixel point of the aerial measured point source target projection area image according to the response gain coefficient and the pixel offset; the step of determining the projection area of the detected point source target in the air is an effective projection area of the detected point source target in the air, the point source target infrared radiation intensity calculation method is improved, the precision of the calculation method is improved, and the calculation efficiency is improved. The method has the characteristics of high operability and wide applicability, and can be used as a universal method for calculating the infrared radiation intensity of the aerial point source target.

The invention provides an industrial ray radiation dose visual simulation method and system based on FLUKA. The method comprises the following steps: creating and optimizing an X-ray machine model, setting radiation parameters, establishing an optimized radiation propagation model, carrying out simulation calculation, establishing the radiation intensity of a freely selected detection point or focus point according to a calculation result, and generating two-dimensional and three-dimensional dose and energy distribution diagrams. And establishing a dynamic radiation intensity calculation model and carrying out mistaken radiation accident simulation and evaluation. The system can accurately simulate and predict the dose of industrial ray radiation in real time, outputs a visual dose distribution diagram, provides a convenient and visual operation interface for workers, and is beneficial to improving the efficiency and safety of ray protection work. The method has wide application value in the aspects of industrial ray protection, mistaken irradiation accident early warning, ray device design optimization and the like.

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 provides a method and a system for judging a spontaneous combustion dangerous area of a goaf of a coal face, and relates to the technical field of coal mine safety monitoring. Geographic information system software is used for generating an initial geographic map, and a regular three-dimensional grid is created on the basis of the initial geographic map; accurate positioning and data consistency management of the goaf of the coal face are effectively realized, the abnormal sampling points can be accurately identified by setting a specific wavelength range, capturing spectral data of each sampling point by using an infrared spectrum and calculating the relative radiation intensity and the radiation deviation degree of each sampling point, and the accuracy of the abnormal sampling points is improved. Through obtaining neighbor sampling point data of an abnormal sampling point, calculating a uniform distribution index, realizing risk grade marking of the abnormal sampling point, comprehensively considering distribution density, relative radiation intensity and geographic position information of the abnormal sampling point, and generating a spontaneous combustion risk index, comprehensive assessment and timely early warning of goaf spontaneous combustion risk are realized.

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.

A wearable electronic device (1), having a first radiation source (10) configured to emit a radiation beam (11) to a surface of skin of a user, the radiation beam having a peak emission wavelength between 610-1400nm; a driver circuit (20) configured to provide a driving current (15) to the radiation source (10) to control an irradiation intensity of the radiation beam on said surface; and an antenna (40) and / or a sensor circuit (30) having one or more sensors. The driver circuit (20) is configured to receive one or more inputs from the sensor circuit (30) and / or from the antenna (40) and is configured to control the first radiation source (10) on the basis of said one or more inputs.

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 provides an intelligent heat supply management and control system based on Internet of Things data acquisition and intelligent research and judgment, and relates to the technical field of intelligent heat supply operation, and the system comprises a first indoor environment data acquisition module which detects first temperature data and first infrared radiation intensity data; the historical user information acquisition module is used for acquiring user behavior habit information; the heat supply judgment module determines whether a heat supply system needs to be started or not; a heat supply module is started, and a heat supply system is started; the indoor environment data acquisition module is used for acquiring indoor environment data; the outdoor environment data acquisition module is used for acquiring outdoor environment data; the heat supply system monitoring module is used for collecting heat supply parameters of the heat supply system; the heat load adjusting and judging module is used for determining whether the heat load of the heat supply system needs to be adjusted or not; the thermal load adjustment determining module is used for determining the adjusted thermal load; and the monitoring report module is used for generating a system monitoring report. According to the invention, the heat supply effect can be obviously improved, and the energy consumption is reduced.

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.