478 results about "Spectrum light" patented technology

The invention relates to the technical field of circuit board detection, in particular to a quality detection system of an integrated circuit board, which comprises an image acquisition module used for cooperatively acquiring a surface image and a temperature distribution image of the integrated circuit board through a camera array and a multispectral light source; the preprocessing module is used for carrying out noise suppression, distortion correction and multispectral fusion on the surface image and the temperature distribution image and generating a standardized detection image; the defect detection module is used for extracting welding spot contour features, wire connectivity features and dielectric layer thickness features from the standardized detection image, the welding spot image and the inner layer wiring image of the integrated circuit board can be separated, interlayer interference is eliminated, multi-dimensional more accurate evaluation of defect risks is achieved, and the defect detection accuracy is improved. Misjudgment caused by traditional isolated analysis is avoided, the irradiation angle and intensity of the multispectral light source can be dynamically adjusted, and the reliability and efficiency of quality detection of the integrated circuit board are improved.

The invention provides a soil stress monitoring method based on a distributed echo wall optical fiber cavity array, which innovatively utilizes a plurality of echo wall structures to realize distributed multi-point monitoring of soil stress in the same optical fiber, and accurately reflects the spatial distribution of the soil stress by monitoring the resonant frequency change of the echo wall structures; the method comprises the following steps: testing connection; monitoring the resonant frequency of the echo wall of the optical fiber echo wall array sensor; a wide-spectrum light source is adopted to excite an optical fiber to generate an optical signal, after the optical signal is transmitted by the optical fiber, when the optical signal passes through echo wall structures with different diameters of the optical fiber echo wall array sensor, the optical signal resonates at resonant frequencies of the echo wall structures, so that resonant trapped waves on multiple frequencies appear in a transmitted spectrum measured by a spectrograph; monitoring the resonant frequency change of the echo wall structure caused by the soil stress, and obtaining the spatial distribution information of the soil stress.

The invention relates to a self-calibration atomic wavelength meter. The self-calibration atomic wavelength meter comprises a saturated absorption spectrum light path for locking a detection laser frequency on a cesium atom energy level transition line based on a saturated absorption spectrum; the double-peak spectrum light path scans the frequency of a coupled laser after the frequency of the detection laser is locked by a saturated absorption spectrum, and when the detection laser and the coupled laser jointly act on alkali metal atoms and are subjected to resonance excitation, an electromagnetic induced transparency effect is generated; when the detection laser is detuned, the detection laser and the combined laser jointly act on the alkali metal atoms to generate non-resonance excitation, a double-peak EIT spectrum with Doppler frequency shift is generated, and the wavelength measurement of the current detection laser can be completed based on the linear relation between the double-peak spectrum interval and the detuning amount of the detection laser. In addition, the double-peak spectrum interval is compared with the atomic energy level transition frequency, the difference between the double-peak spectrum interval and the atomic energy level transition frequency serves as an error signal to be fed back to the control end of the detection laser, the frequency of the detection laser is tuned to the reference frequency standard, and calibration of the wavemeter can be achieved.

The invention relates to the technical field of nervous system dysfunction, in particular to a nerve regulation and control system for degenerative disease treatment based on multi-modal physiological feedback, which comprises a central processing unit, an optical radiation applicator, a mechanical vibration applicator, an integrated biological signal sensing array and a man-machine interaction module, cooperative stimulation is applied by using a multispectral light source and a broadband vibrator, and multi-dimensional physiological signals such as heart rate variability, myoelectricity, galvanic skin and the like are monitored in real time through a sensor array. A multi-parameter adaptive control algorithm built in the central processing unit can dynamically and intelligently adjust stimulation parameters based on the feedback signals to form an accurate personalized treatment closed loop. Meanwhile, the safety monitoring module based on the biological thermal model ensures the safety boundary of the treatment process. According to the invention, intelligent, self-adaptive and non-invasive treatment of nerve dysfunction is realized.

The invention discloses a fiber optic spectrometer for film thickness measurement. The fiber optic spectrometer comprises a control and data processing module, a detection module, a light source module and a light splitting module, the optical fiber coupling module couples wide-spectrum light of the light source module and then guides the light to the light splitting module; the light splitting module adopts a cross-type Czerny-Turner light path structure, and performs collimation, dispersion and focusing processing on light beams in sequence; the detection module is used for receiving the optical signal processed by the light splitting module and forming an interference pattern; and the control and data processing module is used for driving acquisition, completing pixel-wavelength calibration and calculating the film thickness based on an acquired interference pattern. According to the optical fiber spectrometer measurement method for film thickness measurement, the problem of low accuracy of real-time film thickness detection in the prior art is solved.

The invention relates to a spectral confocal three-dimensional shape reduction method and system based on a super-surface spectral imaging chip. The method comprises the following steps: a continuous spectrum light source device emits a continuous spectrum light beam to a dispersion objective lens, the continuous spectrum light beam is subjected to spatial separation along an optical axis direction through the dispersion objective lens and then is irradiated to the surface of a to-be-measured three-dimensional topography object, and the continuous spectrum light beam is reflected on the surface of the object; a part of the reflected light beam penetrates through a light hole of the shading plate, then irradiates a focusing lens, is focused by the focusing lens and then enters a super-surface spectral imaging chip, and the super-surface spectral imaging chip collects wavelength information; wavelength information collected by the super-surface spectral imaging chip is converted into height information, and the three-dimensional shape of the surface of the object is fitted according to the height information and the pixel position corresponding to the height information. According to the invention, the reduction of the three-dimensional morphology can be realized through one-time photographing of the simple optical system, the morphology reduction efficiency is high, and the cost is low.

This invention discloses a spectral preprocessing method and related equipment for online coal quality detection using multispectral coupling. The method includes: simultaneously acquiring LIBS and NIRS spectra of raw coal using an online coal quality detection device; screening the effectiveness of the synchronized LIBS and NIRS spectra; identifying the defocusing amount of each set of synchronized LIBS and NIRS spectra and assigning a corresponding defocusing amount label to each set of spectra; correcting the defocused spectra according to the defocusing amount label using a spectral correction method to obtain corrected LIBS and NIRS spectra, and then fusing them to obtain a corrected fused spectrum; analyzing the LIBS spectrum, NIRS spectrum, and fused spectrum using quantitative analysis methods, and calculating the fixed carbon content. This invention's LIBS and NIRS spectral fusion overcomes the limitation of a single spectrum only characterizing atomic or molecular information, enabling a complete characterization of the chemical information of the coal sample and achieving simultaneous and accurate analysis of multiple coal quality indicators.

A multispectral light source for disinfection is disclosed, including a plurality of light sources with different disinfection peak wavelengths and electronics. Each disinfection peak wavelength is effective for disinfection, and the electronics are configured to drive the plurality of light sources to emit light at the different disinfection peak wavelengths. In a specific embodiment, multispectral light source includes one or more UV-C light sources emitting ultraviolet light in a UV-C range, and one or more UV-A light sources emitting ultraviolet light in a UV-A range. The multispectral light source optionally may further include one or more white light sources emitting white light providing illumination. In a disinfection method, light in the UV-C range is emitted into an occupied space, and light outside of the UV-C range that is effective for inactivating at least one target pathogen is also emitted, optionally simultaneously, into the occupied space.

The invention provides a compensation method for asymmetric errors of a double-path weak measurement system and the double-path weak measurement system, which can be applied to the technical field of quantum measurement. The compensation method comprises the following steps: under the condition that wide-spectrum light passes through a double-path weak measurement system and the size of a signal which is weakly coupled with a weak coupling module is within a preset range, applying a square wave signal with a preset amplitude to a push-pull phase modulator, and performing binary detection by using an acquisition module to obtain four first detection signals; under the condition that the preset amplitude is not 0, determining a first error introduced by asymmetric loss of the double-path weak measurement system according to the corresponding four first detection signals; according to the four first detection signals corresponding to the square wave signal with the preset amplitude of 0 and the first error, determining a second error introduced by filter asymmetry of the double-path weak measurement system; according to the first error and the second error, asymmetric error compensation is carried out on the response formula, and it is ensured that the double-path weak measurement system has high sensitivity and stability.

An illustrative system may access a first image sequence captured by an imaging device during a medical procedure, the first image sequence comprising first images. the first images based on illumination of a scene associated with the medical procedure using visible-spectrum light: access a second image sequence captured by the imaging device during the medical procedure. the second image sequence comprising second images. the second images based on illumination of the scene using non-visible spectrum light: and provide the first image sequence and the second image sequence to a machine learning module.

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 discloses a method and a system for detecting internal defects of a bathroom glass door based on multispectral imaging. The method comprises the following steps: carrying out multi-view and multiband image acquisition on the bathroom glass door by adopting a combined spectrum light source; performing adaptive reflection correction on the acquired image to generate a multi-band basic image; optimizing the multi-band basic image through a hybrid denoising algorithm to generate a multi-band detection image; performing multi-modal feature extraction and fusion on the multi-band detection image to obtain a multi-modal fusion feature vector, inputting the multi-modal fusion feature vector into a multi-feature fusion model combining a convolutional neural network and a support vector machine, and identifying and grading defect types by adopting a dual-stage feature enhancement-classification architecture; and outputting a defect type and severity grading result to a terminal in real time. The method is used for solving the technical problems of visual angle and spectrum blind areas, insufficient interference suppression capability, wave band crosstalk, feature deficiency and poor small sample generalization in existing bathroom glass door defect detection.

The invention belongs to the technical field of optical imaging and automatic detection, and particularly relates to a multispectral polarization imaging automatic scanning system. According to the system, through combination of multispectral polarization imaging and an AI algorithm, rapid positioning and classification of a target are realized, and the precision and efficiency of trace detection and material evidence identification are improved on the premise that a sample is not damaged. The multispectral polarization imaging automatic scanning system comprises a single-axis detachable slide rail, a polarization camera, a multispectral light source module, a small darkroom with an open bottom, a control panel and a main control computer. The two ends of the single-axis detachable sliding rail are supported by the adjustable tripod, the portable small darkroom is fixed below the movable end of the sliding rail through mechanical connection, the polarization camera and the multispectral light source are installed in the darkroom, and the darkroom is driven by the stepping motor to conduct single-axis scanning motion. The multispectral light source module supports switching of more than six wave bands within the wave band of 450-950 nm, wave band switching can be completed within 5 ms, and stable illumination intensity (0-500 lux) is provided. The process provided by the invention comprises the steps of equipment deployment, scanning path configuration, light source regulation and control, image acquisition, data analysis and the like, and a high-precision detection report can be quickly generated in various scenes. Through cooperative work of the control panel and the main control computer, the system realizes automatic image acquisition, target detection and report generation, is widely applied to the fields of trace detection, material evidence identification, industrial quality inspection and the like, and has the characteristics of automation, high efficiency and high precision.

A camera system. The camera system includes a sensor array; an infrared (IR) illumination system configured to emit active IR light in an IR light sub-band; a spectral illumination system configured to emit active spectral light in a spectral light sub-band; one or more logic machines; and one or more storage machines. The storage machines hold instructions executable by the one or more logic machines to address the sensor array to acquire an ambient image; based on at least the ambient image, activate the IR illumination system and address the sensor array to acquire an actively-IR-illuminated depth image; and based on at least the actively-IR-illuminated depth image, activate the spectral illumination system and address the sensor array to acquire an actively-spectrally-illuminated spectral image.

The invention relates to the technical field of composite fibers, in particular to a light-absorbing and heat-generating composite fiber and a preparation method thereof.The preparation process comprises the following steps that 1, core-shell structure light-absorbing and heat-generating particles are prepared; (2) carrying out surface modification on ferroferric oxide coated silicon dioxide particles; (3) in-situ polymerization; and (4) melt spinning. According to the scheme, nano ferroferric oxide is selected as a core light absorption material, and due to a unique Fe < 2 + > / Fe < 3 + > mixed valence electronic structure, while wide-spectrum light absorption is realized, oxidative photo-generated holes are hardly generated, so that the photocatalytic degradation risk similar to titanium dioxide is avoided from the source, and the long-term stability of a polymer matrix is guaranteed; in combination with in-situ polymerization, axial gradient magnetic field spinning processes and the like, the washing resistance, aging resistance and strength of the light-absorbing and heating composite fiber are synchronously improved.

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 invention relates to a Bi19Br3S27-NiSX catalyst. In the Bi19Br3S27-NiSX catalyst, an amorphous phase NiSX is loaded on a crystal phase Bi19Br3S27. The preparation method of the catalyst comprises the following steps: taking bismuth salt and nickel salt as raw materials, dissolving the raw materials into ethylene glycol, and then adding a sulfur source and a bromine source to obtain a mixed solution; and carrying out solvothermal reaction on the mixed solution to obtain the Bi19Br3S27-NiSX catalyst. The invention relates to a Bi19Br3S27-NiSX catalyst which is applied to production of ethylene through photo-thermal CO2 reduction. The catalyst has the beneficial effects that the catalyst has excellent sunlight full-spectrum light absorption property and photo-thermal conversion capacity, the surface activity of the catalyst is remarkably improved through introduction of the NiSX amorphous phase, the electron transfer efficiency in catalytic reaction is enhanced, the light energy utilization efficiency is improved through the synergistic effect of the multi-component catalyst, and CO2 is subjected to high-selectivity catalytic reduction to produce ethylene.

Disclosed herein are approaches for measuring lateral dopant concentration and distribution in high aspect radio trench structures. In one approach, a method may include providing a substrate including a plurality of alternating vertical structures and trenches, and removing a portion of the substrate to expose a sidewall of the first vertical structure of the plurality of structures. The method may further include directing a spectrometry beam into the sidewall of the first vertical structure to determine a dopant characteristic of the first vertical structure, wherein the spectrometry beam is delivered perpendicular to a plane defined by the sidewall of the first vertical structure.

The invention discloses a gas detection precision improving method based on a multi-algorithm fusion framework. A photonic crystal resonant cavity and a tunable band-pass filtering structure are integrated in a Fourier transform spectrometer light path; collecting a wide-spectrum light intensity signal, and constructing a spectral signal database in combination with the enhancement characteristic and the filtering characteristic of the resonant cavity; zero calibration and dynamic baseline deduction operation are carried out, and self-adaptive variational mode decomposition and wavelet transform are adopted to carry out signal denoising on the spectral signals; an environment compensation model is established, and an Arrhenius type correction factor is adopted to suppress water vapor cross interference; constructing an RLS and fuzzy control combined hybrid adaptive filter; separating aliasing spectral signals by adopting a non-negative matrix factorization algorithm; establishing a quantitative relation model; in the online concentration prediction process, the initial concentration value is subjected to recursive optimization by using a hybrid adaptive filter, the deviation is continuously corrected through an environment compensation model, and an accurate concentration value is output. The method can significantly improve the accuracy and stability of multi-gas detection.

The invention discloses a photovoltaic power generation forecasting method based on spectrum forecasting, and aims at solving the problem that errors are large due to the fact that only temperature and total irradiance are considered in an existing photovoltaic power generation forecasting method. The method comprises the following steps: downloading global forecast data and carrying out lattice point coding conversion; then carrying out dynamic downscaling and calculating future key meteorological variables; calculating the spectral optical thickness of each atmospheric component by using the spectral absorption and scattering coefficients of different gas components in the HITRAN database, and obtaining direct and scattered spectral irradiance according to the spectral optical thickness; carrying out calculation result verification and artificial intelligence correction by utilizing a solar spectrum radiometer; calculating generated power of different wavelengths; and calculating the final generation power through integral calculation in combination with the loss of other parts of the photovoltaic module. And forecasting a radiation spectrum at a future moment according to different forecasted meteorological variables, and converting radiation into power generation power according to the spectrum, thereby realizing refined conversion of optical power.

Aspects relate to mechanisms to control the effective optical path length through skin tissue for non-invasive optical spectroscopy measurements. An apparatus can include a path length control part configured to control the effective optical path length of diffusely scattered light transmitted through skin tissue to produce a target effective optical path length. The apparatus may further include a spectral sensor, a detector, and a light source configured to produce input light directed towards the path length control part or the spectral sensor. The detector is configured to obtain a spectrum of an analyte under test based on the diffusely scattered light. The spectral sensor is configured to either receive the input light, produce modulated light based on the input light, and direct the modulated light to the skin tissue, or to receive the diffusely scattered light from the skin tissue and obtain the spectrum using the detector.

The invention discloses a multispectral photoelectric sand meter signal fusion and sand content calculation method and system. The method comprises the following steps: collecting multiple groups of different sand contents, photoelectric signal data of a multispectral photoelectric sand meter, corresponding sand content data, temperature data and water depth data; preprocessing the original photoelectric signal; performing feature extraction on the curve of each column of processed signal values changing along with the sand content; performing curve fusion; an improved particle swarm optimization algorithm is adopted to automatically optimize the positions of segment points and the polynomial order of fitting of each segment, and the function relation between the fusion value of each curve signal and the sand content in the standard environment is subjected to segment fitting; in a field test environment, temperature and water depth compensation is carried out on the signal values, and a sand content value corresponding to the test sand sample is reversely solved by utilizing different signal data based on a function relationship; sand content data is manually measured by combining with a field sand sample, and a sand content result of the sand meter is dynamically corrected by scattering reference light of different wavebands. According to the invention, rapid output and correction of the sand content of the to-be-measured liquid can be realized.

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

The invention belongs to the technical field of optical measurement, and discloses an implementation device and method of a single-photon spectrograph, and the device comprises a spectral wavelength scanning module which is used for collecting a wide-spectrum optical signal, carrying out the wave division processing, and calculating the photon counting change rate between adjacent wavelengths; wavelength stepping is dynamically adjusted according to the photon counting change rate, self-adaptive scanning of spectrum change is achieved, and a single-spectrum optical signal is output; the self-focusing detection module is used for converting the single-spectrum optical signal into a photon event through a preset array channel; in a preset time window, calculating the variance and the Shannon entropy of each photon event, and constructing a local uncertainty index; performing spectral domain self-focusing and resampling according to the local uncertainty index to obtain photon counting data; high-precision, high-stability and high-efficiency spectrum light signal detection and visual analysis are realized.

The invention provides a defect detection method and system for a liquid crystal display screen. Belongs to the crossing technical field of photoelectric display detection, machine vision and intelligent manufacturing. The method comprises the following steps: performing multiband irradiation on the liquid crystal display screen by using a multispectral light source, driving the liquid crystal display screen to perform multi-angle movement through a precise displacement platform, acquiring multi-modal image data of the liquid crystal display screen in a static state and a dynamic state in combination with a high-speed camera, and performing preliminary image preprocessing; generating a preprocessed image data set; through automatic detection equipment constructed by a multispectral light source, a high-speed camera and a precision platform, and a matched self-adaptive decoupling algorithm and a defect and process association database, static and dynamic multi-modal images of the liquid crystal display screen can be accurately acquired, process noise and real defects are effectively separated, and the defect detection precision is greatly improved.

In a first aspect of the disclosure there is provided a multi-spectral optical sensor comprising: a monolithic semiconductor chip defining a plurality of subarrays of optical detector regions, each array comprising the same number and relative spatial arrangement of optical detector regions; a plurality of optical filters; and a plurality of lens elements, wherein each optical filter is positioned between a corresponding lens element and a corresponding subarray of optical detector regions such that light from a scene incident on any one of the lens elements along a direction of incidence propagates through the corresponding optical filter towards a corresponding one of the optical detector regions of the corresponding subarray of optical detector regions, which corresponding one of the optical detector regions depending on the direction of incidence, and wherein the incident light forms an out-of-focus image of the scene at a plane of the optical detector regions.

Provides is an ultra-microlight transmission device using secondary electrons according to various embodiments of the present invention for implementing the above-objects. The ultra-microlight transmission device includes a light source module configured to generate light, a housing which includes an interior space and performs spectroscopy and diffuse reflection on light introduced into the interior space, a first filter unit configured to convert the spectroscopic and diffusely reflected light into monochromatic light, and a second filter unit configured to cause diffraction and interference for the converted light.

The invention discloses an ultrathin metal foil thickness measuring system and method based on Mach-Zehnder interference, and relates to the technical field of ultrathin metal thickness measuring methods. The system comprises a super-luminescent diode wide-spectrum light source SLD, the SLD emits a beam of white light, the white light is divided by a 50: 50 first optical fiber coupler into a light beam I and a light beam II with the same intensity, and the light beam I and the light beam II enter two Mach-Zehnder interference modules with the same structure respectively; the two Mach-Zehnder interference modules are symmetrically arranged along the upper side and the lower side of the sample to be tested, the output ends of the two Mach-Zehnder interference modules are connected with the input end of the second optical fiber coupler, and the output end of the second optical fiber coupler is connected with the input end of the spectrograph. The system and the method have the advantages of high real-time performance, high measurement precision, low cost and the like.

The invention relates to an intelligent trace imaging analysis method and device based on multi-mode micro-spectrum fusion, and belongs to the technical field of trace material evidence information search. The method comprises the following steps: acquiring image data of an original fingerprint through a fingerprint collector, and transmitting the image data to an image analysis application carried by a trace microscopic imaging system; the trace microscopic imaging system carries out printing operation on image data of fingerprints collected in real time through an integrated printing system; a trace sample of the objective table is sampled based on the optical microscopic imaging assembly, and spectral imaging data of the trace sample in different wavelength ranges are obtained through a multi-band light source in the optical microscopic imaging assembly and transmitted to the image analysis application; and carrying out superposition, comparison, display and analysis on the spectral imaging data through the image analysis application. Through a specific spectrum light source, key information such as trace information characteristics, trace biological residues and trace display can be effectively searched and found.

The invention discloses a solar-driven biomass pyrolysis-gasification energy utilization system running day and night. The system comprises a biomass pyrolysis-gasification subsystem and a solar spectral photovoltaic water electrolysis subsystem. According to the system, solar frequency division heat collection, high-temperature synthesis gas sensible heat and ash residue waste heat are absorbed and stored in a gradient mode through molten salt and are used for providing heat needed by biomass pyrolysis reaction; in the daytime, the system provides heat required by high-temperature gasification reaction through solar full-spectrum light condensation, and the heat is provided by combustion of part of pyrolysis products when no light exists at night. According to the system, by integrating various energy utilization technologies such as solar full spectrum and spectral utilization, biomass gasification, photovoltaic power generation and waste heat utilization, coupling utilization of two renewable energy sources of solar energy and biomass energy and gradient utilization of energy are achieved, and the energy utilization efficiency of an energy system and the quality of synthesis gas are effectively improved.