1471results about "Spectrum investigation" patented technology

The invention provides a multi-source fusion spectrum cross-domain high-precision prediction method and system based on transfer learning. The method comprises the following steps: S1, acquiring spectrograms collected by a spectral imaging device under multiple wavelengths; s2, extracting various types of features from the spectrogram; s3, training a fusion model to obtain a trained fusion model; and S4, inputting a to-be-predicted spectrum into the trained fusion model, and outputting a result. According to the invention, 10 <-4 > nm-level wavelength prediction can be achieved in a common industrial camera system, and the level of a scientific research-level grating spectrometer (0.001-0.002 nm) can be reached / exceeded; on a narrow-band, middle-band and wide-band multi-scene cross-domain data set, the mean absolute error (MAE) can be reduced from the nanoscale to the magnitude of 10 <-4 > nm, and excellent robustness is kept under the conditions of noise, feature deficiency and few samples.

The invention discloses a high geological disaster chain risk quantitative assessment method adapted to a high-cold and high-altitude environment, and relates to the technical field of geological disaster monitoring and prevention and control, and the method comprises the following steps: S100, building an irradiation and reflection combined observation layer, collecting the dynamic intensity of direct light and reflected light, generating an exposure time sequence fingerprint baseline, and obtaining an exposure time sequence fingerprint baseline; and determining a critical threshold value of the direct light intensity according to the base line. The method comprises the following steps: constructing an irradiation and reflection combined observation layer to extract light intensity characteristics, and generating an exposure time sequence fingerprint baseline; a trigger point boundary is extracted by adopting coherent phase decomposition and anti-fact playback, and a continuous track is reconstructed; the overexposure risk is predicted based on the time-frequency score, and spectrum gating and polarization rotation are linked to regulate and control the exposure rhythm; and reverse phase traction and phase conjugate intervention are implemented in a steady-state window, so that boundary information is maintained and the risk identification precision is improved.

The invention relates to the technical field of power system equipment state monitoring and fault diagnosis, and discloses an arc light online monitoring method and system based on a spectrum sensing technology, and the method comprises the steps: arranging a first spectrum sensor and a second spectrum sensor corresponding to a detected target, and respectively detecting optical signals in different wavelength ranges; collecting optical data according to a set period, and identifying abnormal features according to a preset template; when the double abnormal features exist, the duration of the double abnormal features is calculated, and if the duration exceeds the corresponding reference duration, a duration reference value is generated; and performing weighted calculation on the time length analysis value, if the time length analysis value is within a preset range, giving a partial discharge abnormal prompt, and resetting the reference value. Multi-wavelength spectrum monitoring is utilized, non-contact and high-sensitivity detection of partial discharge is achieved, electrical equipment is prevented from being damaged, fault hidden dangers are found in time, and safe and stable operation of the equipment is guaranteed.

The invention discloses a reconstruction spectral imaging system based on an electromagnetic drive Fabry-Perot resonant cavity, and belongs to the field of spectral imaging. The system comprises an optical lens group, an electromagnetic driving device, a Fabry-Perot resonant cavity, a photoelectric detection array and a calculation unit, the cavity length of the Fabry-Perot resonant cavity can be adjusted through the electromagnetic driving device. The optical lens group receives light reflected or emitted by an external to-be-measured target scene and carries out collimation processing, and then the light enters the Fabry-Perot resonant cavity. The Fabry-Perot resonant cavity screens the incident light based on the resonance condition of the cavity length of the Fabry-Perot resonant cavity, and the screened light is emitted to the photoelectric detection array; the photoelectric detection array converts the incident light intensity into an electric signal and outputs the electric signal to the calculation unit; and a spectrum reconstruction model is built in the calculation unit, and a hyperspectral image of the to-be-measured target scene is obtained by using the spectrum reconstruction model based on the electric signal. The working range and the spectral imaging precision of the spectral imaging system based on the Fabry-Perot resonator are improved, the technological requirements are reduced, and the engineering applicability of the spectral imaging system based on the Fabry-Perot resonator is improved.

The invention provides a compact hyperspectral imager optical system and an imaging method thereof, which are used for solving the technical problems that the overall size of a front telescopic assembly in a traditional hyperspectral imager optical system is difficult to compress, the installation and adjustment difficulty is relatively large, or the incident energy is lost and the space coverage capability is insufficient. And the technical problems of low energy utilization rate and difficulty in improving the sensitivity and the signal-to-noise ratio of the hyperspectral imager of the traditional Dyson type dispersion light splitting assembly are solved. The invention provides a compact hyperspectral imager optical system, which comprises an off-axis two-image-reflection telecentric optical path system based on a free-form surface and a Dyson light splitting system based on a curved surface prism, and realizes high regulation and control capability on light through multiple degrees of freedom of a curved surface shape. Compared with the prior art, the high-spectral imaging device has the advantages that the high-spectral imaging device is simple in structure, high image quality, small distortion and good telecentricity are achieved, meanwhile, the curved prism serves as a dispersion light splitting element, the whole spectrum has high light splitting efficiency, and the signal-to-noise ratio and sensitivity of the high-spectral imaging device can be improved.

The invention discloses a scanning high-resolution double-optical-comb spectrum system based on Raman gain modulation. The method is suitable for real-time spectrum detection with a wide spectrum range and high spectral resolution. The system comprises a single-frequency laser and driver, an optical coupler, a mode-locked laser, a rare earth doped amplifier, a wavelength division multiplexer, a Raman gain fiber, a sample to be tested, a photoelectric detector, a data processor and a wavemeter. The single-frequency laser couples part of light to the wavemeter, and the remaining light is divided into two paths to be coupled with the two amplified mode-locked lasers to enter the Raman gain optical fiber for Raman gain modulation and is converted into high-mutual-dryness double optical combs. The double combs pass through a to-be-measured sample in a combined manner, and interference signals are measured by the photoelectric detector and received by the data processor. And meanwhile, the processor sends a tuning signal to the single-frequency laser driver, so that the double combs scan in a wide spectrum range to obtain high-resolution spectrum information. Electrical feedback locking is not needed, and high-precision spectrum acquisition with megahertz resolution in a terahertz range can be completed within a few minutes.

The invention discloses a radiation correction method and system for an airborne hyperspectral imager. The radiation correction method and system are used for improving the radiation correction precision in complex weather. The method comprises the following steps: calculating a theoretical sun position based on unmanned aerial vehicle initial coordinates, ephemeris data and atmospheric parameters; performing course and differential compensation on a solar azimuth angle by combining IMU course and wind speed and direction data, performing refraction correction on an elevation angle, and outputting a high-precision sun position parameter; hyperspectral images and irradiance data are synchronously acquired, quaternion interpolation is combined with IMU data to realize space-time alignment, and attitude disturbance is eliminated; a hemispherical space irradiance model is constructed based on alignment data, cloud layer modes (clear sky, thin cloud and thick cloud) are divided according to atmospheric optical thickness variance, and Lambert body proportion correction, a discrete longitudinal standard method or a deep convolutional spectral network are respectively adopted for radiation correction. The method remarkably improves the correction precision and generalization ability, supports large-area image splicing, and is suitable for quantitative application of geological exploration, environment monitoring and the like.

The invention discloses a field-of-view self-stabilization and self-adjustment hyperspectral camera system and a control method, and relates to the technical field of hyperspectral imaging. The system comprises a first imaging lens group, a movable slit, a two-dimensional linear driver, a slit outer layer light shield, a collimating lens group, a light splitting element, a second imaging lens group, an area array image sensor, an attitude sensor and a control acquisition circuit. Angle disturbance is obtained in real time, two-dimensional compensation displacement of the slit is calculated to drive the slit to move reversely, field-of-view collection is kept basically constant, collection is triggered according to a set rhythm, slit position and attitude data are recorded synchronously, and the pre-calibrated slit position and mapping of original coordinates and ideal coordinates are combined, so that field-of-view collection is completed. Geometric transformation and resampling dynamic correction are carried out on view field inclination aberration and spectrum bending aberration generated along with slit position changes, the environmental adaptability and reliability are improved, a hyperspectral data cube with accurate space coordinates and a stable spectrum curve is output, and the method is suitable for unmanned aerial vehicle-mounted hyperspectral remote sensing.

An endoscopic imaging system for use in a light deficient environment includes an imaging device having a tube, one or more image sensors, and a lens assembly including at least one optical elements that corresponds to the one or more image sensors. The endoscopic system includes a display for a user to visualize a scene and an image signal processing controller. The endoscopic system includes a light engine having an illumination source generating one or more pulses of electromagnetic radiation and a lumen transmitting one or more pulses of electromagnetic radiation to a distal tip of an endoscope.

The invention discloses a traditional Chinese medicine detection device based on visual analysis, and relates to the technical field of traditional Chinese medicine visual detection, the traditional Chinese medicine detection device comprises a machine body, an operation table, a display screen, an indicator light assembly, a conveyor belt assembly, a positioning groove, a multispectral image acquisition assembly, a laser displacement sensor and a detection analysis calculation assembly, wherein the detection, analysis and calculation assembly comprises an acquisition module, a processing module, a calculation module and a judgment module, and the calculation module comprises a feature unit, a defect unit and a comprehensive analysis unit. According to the method, defect features are captured in multiple dimensions through the feature unit, accurate initial features are provided, the defect unit is coupled with physical and environmental parameters, similar defects are distinguished from a physical mechanism, the type judgment accuracy is improved, the comprehensive analysis unit is fused with feature strength, type confidence and quality influence parameters, full-dimension quality grade evaluation is achieved, and the method is suitable for large-scale popularization and application. The inherent quality is associated, and a scientific basis is provided for defect grading of the traditional Chinese medicine tablets.

The embodiment of the invention provides a spectrum red shift measurement method, device and equipment and a medium, which can be applied to the fields of astronomical information technology and high-performance computing technology, and the method comprises the following steps: receiving N observation spectrum data to be measured; determining a processing mode of the observed spectrum data; in response to the processing mode being a first processing mode, processing the observation spectral data through a first calculation path, the first calculation path performing red shift measurement calculation based on a first numerical calculation library by matching the observation spectral data with a set of template spectral data to obtain a calculation result, the calculation result of the first numerical calculation library is consistent with the calculation result of a reference algorithm within a preset precision range; in response to the processing mode being a second processing mode, the observed spectral data is processed through a second computational path that reconstructs the redshift measurement calculations into a tensor parallel model based on a second library of numerical calculations and performs on parallel computing hardware, the second library of numerical calculations supporting tensor calculations.

An imaging system includes: an illuminator that outputs illumination light to be radiated onto a target object; an imager that receives reflected light originating from the illumination light and coming from the target object and generates a compressed image in which image information of wavelength bands included in a target wavelength range is compressed as one piece of image information; and a processor that generates reconstructed images based on the compressed image, each reconstructed image corresponding to a different one of the wavelength bands. The wavelength bands include a first wavelength band and a second wavelength band. A light intensity in the first wavelength band included in the illumination light and a light intensity in the second wavelength band included in the illumination light are different from each other.

The invention discloses a terahertz spectrum chip, and belongs to the field of terahertz technology and micro-nano electromechanical systems. According to the invention, a spectral resolution microstructure is directly integrated on a focal plane array detection structure, so that chip-level spectral decoding is realized, the size of the system is remarkably reduced, and the system has excellent miniaturization and on-chip characteristics and is suitable for portable and embedded application scenes; the back of the focal plane array detection structure is provided with a signal reading pin or an interconnection layer to be connected with a spectrum extraction module, spectrum information is extracted, a delay line or a frequency scanning device dependent on a traditional terahertz spectrum system is not needed, and the system has the characteristics of non-scanning and static imaging. And the real-time performance and the stability of the terahertz spectrum information acquisition process can be ensured. The invention provides a feasible technical path for industrialization of miniaturized terahertz functional devices.

The invention provides a device for monitoring a combustion process in real time, and belongs to the technical field of combustion process monitoring and control. The device comprises a multispectral light source module, an optical detection module, a data processing module and a control module. The multispectral light source module can emit multispectral signals covering ultraviolet, visible and infrared bands, and multiple paths of light beams are generated through light beam shaping, frequency doubling, optical parametric oscillation and the like and are incident to a combustion area. The data processing module performs feature extraction, mode recognition and trend prediction on the signals, and recognizes parameters such as flame state, temperature, gas concentration, combustion efficiency and pollutant emission. The control module dynamically adjusts operation parameters of the combustor according to the analysis result, and closed-loop control is achieved. Through multi-band spectrum joint detection and intelligent algorithm analysis, the defect that single-band detection is prone to interference is overcome, and high-sensitivity, multi-dimensional and real-time monitoring and intelligent control over the combustion process are achieved.

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.

The invention provides a water color remote sensing parameter inversion-oriented hyperspectral data quality evaluation method, which relates to the technical field of optical remote sensing and comprises the following steps of: dividing a plurality of hydrological response unit sub-graphs from a hyperspectral remote sensing image of a target area by taking a preset multi-scale biological optical fingerprint wave band as a reference; performing water color noise transmission analysis on the plurality of hydrological response unit sub-graphs, and outputting a plurality of groups of water color inversion signal-to-noise ratio fingerprints; performing atmospheric correction distortion field diagnosis on the hyperspectral remote sensing image, and outputting a near-infrared negative distortion field and a spectral fidelity error field; dynamically fusing to generate a real-time quality entropy field; and confidence domain convergence mapping of the real-time quality entropy field is carried out, and a water color parameter inversion uncertainty thermodynamic diagram is output. The technical problems that in the prior art, a targeted diagnosis mechanism for distortion in the atmospheric correction process is lacked, systematic interference of atmospheric correction on water color parameter inversion precision cannot be captured, and consequently a final water quality monitoring result is unreliable and errors are large are solved.

The invention discloses a monitoring and prevention method for comprehensive prevention and control of tobacco viruses. The monitoring and prevention method comprises the following steps: S1, collecting tobacco virus monitoring data; s2, analyzing a virus infection risk index through the monitoring data; s3, preparing a comprehensive virus control agent; s4, collecting leaf states of the tobacco plants; s5, judging an infection propagation direction by combining multi-dimensional data; according to the method, concentration data of root system metabolites and leaf VOCs are collected at the same time, and multi-parameter conjoint analysis of virus invasion is achieved; through joint analysis of VOCs concentration data in the orientation, root system metabolites and leaf apparent parameters, the numerical value change trend in the virus propagation direction is quantified, and accurate positioning of a propagation path is achieved; through multi-dimensional data fusion, dynamic model quantitative analysis and physical blocking and medicament cooperative prevention and control, early warning, accurate judgment, propagation direction quantification and efficient prevention and control of tobacco virus infringement are realized, and a complete closed loop from monitoring to intervention is formed.

An endoscopic imaging system for use in a light deficient environment includes an imaging device having a tube, one or more image sensors, and a lens assembly including at least one optical elements that corresponds to the one or more image sensors. The endoscopic system includes a display for a user to visualize a scene and an image signal processing controller. The endoscopic system includes a light engine having an illumination source generating one or more pulses of electromagnetic radiation and a lumen transmitting one or more pulses of electromagnetic radiation to a distal tip of an endoscope.

In a general aspect, a portable quantum spectrum sensing system for detecting electromagnetic radiation in an environment is presented. In some implementations, a portable system includes a vapor cell sensor and a portable control package. The vapor cell sensor includes a vapor and is configured to generate output optical signals based on interactions between input optical signals, the vapor and the electromagnetic radiation. The portable control package includes a laser system configured to generate laser signals and a photonic integrated circuit system configured to generate the input optical signals based on the laser signals from the laser system. The portable control package includes a system-on-chip that can communicate control signals to the laser system and the photonic integrated circuit system. The system-on-chip can also process the output optical signals to determine one or more properties of the electromagnetic radiation.

The invention relates to an aircraft spectral data dynamic acquisition method, which comprises the following steps of: designing working modes of a voltage modulation reconstruction type spectrograph, including a full-wave band spectral acquisition mode, a specific wave band spectral acquisition mode and a standby mode; determining use conditions; when the spectrograph works in a full-band spectrum acquisition mode, setting the voltage of the full-band spectrum as m1 groups of voltages, detecting an incident spectrum to obtain m1 groups of light intensity signals, and performing spectrum reconstruction calculation to obtain all spectrum information; when working in a specific wave band spectrum acquisition mode, setting the voltage of a specific wave band spectrum as m2 groups of voltages, m2 < = m1, detecting an incident spectrum to obtain m2 groups of light intensity signals, and performing spectrum reconstruction and calculation to obtain specific spectrum information; in a standby mode, a single voltage is set, an incident spectrum is detected to obtain a group of light intensity signals, and spectrum reconstruction is not carried out. According to the method, the problems of bandwidth occupation, storage pressure, energy consumption increase and the like caused by whole-process full-amount transmission are solved, and meanwhile, the differentiated requirements of different task stages for specific data are met.

The invention, which belongs to the technical field of spectral imaging, discloses an ultra-wide-band ultra-wide-field-of-view high-spectral-resolution real-time imaging spectrometer comprising a first micro-lens array, a plurality of optical fibers, a plurality of second micro-lens arrays and a plurality of assemblies. First micro lenses in each column of the first micro lens array are arranged on a vertical plane arc, and micro lenses in each row are arranged on a horizontal plane straight line, so that incident light of a one-dimensional ultra-wide view field is obtained in real time; through optical fiber coupling, incident light is transmitted to the second micro lens array to be collimated into parallel light beams; according to the components, light of different wavebands is processed through the optical filter, the plane transmission grating and the detector, first-order diffraction light beams of different wavelengths in the different wavebands are received by the detector after diffraction, and space information and spectral information are obtained in real time according to an irradiated target block. The imaging spectrometer provided by the invention has the advantages of ultra-wide wave band, ultra-wide field of view, high spectral resolution, real-time measurement, compact structure and high stability, and is suitable for a remote sensing photoelectric reconnaissance detection system.

The invention relates to sensor system arrangements and configurations. In particular, the invention provides methods, devices, systems and computer program products for integrating, compositing and / or processing data representing a measurable state within a region-of-interest, that has been received from a plurality of sensors that respectively have different input sensitivities, spectral sensitivity ranges and / or input capture ranges.

The invention provides a device and method for calibrating the wavelength of a spectrometer, and belongs to the technical field of optics, and the device comprises a light source module which is used for outputting wide-spectrum continuous light; the collimation module is used for outputting collimated light based on the wide-spectrum continuous light; the polarizer is used for generating linearly polarized light based on the collimated light; the rotating platform is used for placing a wave plate; the polarization analyzer is located in the light beam output direction of the wave plate; the focusing module is used for converging the light beams output by the polarization analyzer to the spectrograph; the spectrograph is used for detecting the energy of the input light beam so as to output corresponding optical data; the optical data comprises pixels and light intensity data of the input light beam; and a processor for determining a ratio of maximum response discrete light intensity data to minimum response discrete light intensity data based on the optical data, determining a peak center pixel position based on the ratio, and calibrating the spectrometer wavelength based on the pixel position. According to the invention, the technical problem of low accuracy of the wavelength calibration result of the existing spectrograph wavelength calibration method can be solved.

The invention relates to the technical field of spectrograph monitoring, and provides a spectrograph operation monitoring method and system, and the method comprises the steps: periodically guiding a built-in spectrum-stabilized light source optical signal to enter a light path at a conventional measurement interval, and obtaining background reference spectrum data; extracting a feature monitoring interval corresponding to the specific optical component, and calculating an interval form feature value; comparing the reference value to generate a component state deviation quantization parameter, and combining a fault tree model to diagnose the running state. And through standard sample verification, a differential spectrum error distribution mode can be analyzed to assist in fault judgment. The system comprises an optical guide, an interval analysis engine, a component state mapping library and a diagnosis output and standard sample verification module. According to the monitoring method, measurement does not need to be interrupted, fault components can be accurately positioned, the problems that traditional monitoring is high in cost and low in efficiency are solved, the measurement accuracy of the spectrograph is improved, and the service life of the spectrograph is prolonged.

The application discloses a hyperspectral imaging chip, device and system based on an adjustable reconfigurable metasurface, and the chip comprises a metasurface unit array, a metasurface reconfiguration module, a metasurface adjustment module, a CMOS image sensor and a spectrum reconstruction and identification module, the metasurface unit array comprises a plurality of metasurface units arranged on a silicon layer; the metasurface reconfiguration module is used for adjusting the number of metasurface units included in the reconfigurable metasurface unit array; the metasurface adjustment module is used for connecting the silicon layer of the metasurface unit array through wires, and is used for changing the spectral response of the metasurface unit by adjusting the voltage of the wires; the CMOS image sensor is used for detecting light signals from the reconfigurable metasurface unit array after modulation; and the spectrum reconstruction and identification module is used for performing hyperspectral reconstruction and imaging according to the light signals detected by the CMOS image sensor. The application has adjustable spectral response, ultrahigh spectral resolution, real-time dynamic monitoring capability and self-adaptive imaging capability.

A system for monitoring a petrochemical installation is disclosed. The system can include an optical imaging system comprising an array of optical detectors. The system can comprise processing electronics configured to process image data detected by the optical imaging system. The processing electronics can be configured to detect a target species based at least in part on the processed image data. The processing electronics can further be configured to, based on a detected amount of the target species, transmit an alarm notification to an external computing device over a communications network indicating that the target species has been detected at the petrochemical installation.

The invention discloses a piezoelectric heat dissipation device, a piezoelectric heat dissipation method and a spectrum sensor in the technical field of electronic equipment.The piezoelectric heat dissipation device comprises a shell, piezoelectric assemblies comprise the first piezoelectric assembly and the second piezoelectric assembly and are arranged in the shell, the first piezoelectric assembly divides the interior of the shell into a first cavity and a second cavity, and the second piezoelectric assembly divides the interior of the shell into a second cavity; the first piezoelectric unit comprises a first vibrating diaphragm and a first piezoelectric body, and the first vibrating diaphragm and the shell form a slit; the second piezoelectric assembly is arranged in the second cavity. The second piezoelectric unit comprises a second vibrating diaphragm, a supporting frame and a second piezoelectric body. A jet flow plate with jet flow holes is arranged in the shell and divides the second cavity into an upper cavity and a lower cavity, the second vibrating diaphragm, the supporting frame and the jet flow plate define a jet flow cavity, the supporting frame is provided with an opening communicated with the upper cavity and communicated with the lower cavity through the jet flow holes, the air inlet is communicated with the first cavity, the lower cavity is provided with an exhaust port, and the electric control part is electrically connected with the first piezoelectric body and the second piezoelectric body. Continuous output of jet flow is achieved through two times of compression of gas, and the heat dissipation performance is improved.

The invention discloses an image real-time radiation correction method for a push-broom hyperspectral camera, and relates to the technical field of image processing methods. The method comprises the following steps: on the basis of an established real-time radiation correction system, defining acquisition parameters, and collecting hyperspectral data of four standard reflectivity plates by using a hyperspectral camera; the hyperspectral image and spectrograph information are aligned through a timestamp, and an ROI region method is established to complete image preprocessing of the push-broom hyperspectral camera; the information collected by the spectrometer is corrected by correcting the azimuth angle of the cosine corrector, and a hyperspectral correction model is established to predict the reflectivity. According to the method, data acquisition is accurate, real-time radiation correction of the hyperspectral image can be realized, and the correction precision is high.

The invention discloses a wide-temperature-range adaptive medium-wave infrared slit-free spectrometer, and solves the technical problems that the energy consumption of the slit-free spectrometer is high and the size and the weight are difficult to miniaturize due to the fact that an integral refrigeration method needs to depend on large refrigeration equipment in the prior art, and the imaging quality of the slit-free spectrometer is seriously deteriorated due to a local refrigeration method. Comprising a front telescope system group, a light splitting system group, a plane mirror, a relay system group and a refrigeration type detector optical system group which are sequentially arranged along the propagation direction of an object space imaging light beam. The movable distance of the detector is set in the range, so that the slit-free spectrometer adapts to the change of the temperature gradient of the first temperature interval and the second temperature interval in the range, and the imaging quality is high.

The invention provides an electrical equipment overheating hidden danger early warning method and system based on unmanned aerial vehicle multi-spectral imaging, and belongs to the technical field of power equipment state monitoring, and the method comprises the steps: firstly obtaining ultraviolet photons and spatial point cloud data collected by an unmanned aerial vehicle; a three-dimensional model is constructed based on the point cloud, and electric field distribution information is obtained through finite element analysis. And the photon data and the electric field information are combined, and the discharge charge quantity and distribution are obtained through space inversion correction. And calculating the discharge current density by using an energy dissipation model, and determining the discharge thermal power loss density in combination with the local electric field. And finally, a steady-state heat conduction equation is solved based on the heat conduction and dissipation parameters, temperature field distribution under heat balance is calculated, and early warning information is generated when the steady-state temperature exceeds a heat-resistant threshold value. According to the invention, early-stage accurate prediction and positioning of the hidden overheating fault of the electrical equipment caused by insulation degradation are realized.