245 results about "Spectral absorption" patented technology

The invention provides an automatic intelligent defect analysis method and system based on power transmission and distribution line unmanned aerial vehicle image acquisition. The method comprises the following steps: acquiring infrared thermal imaging time sequence data and multispectral imaging data of the surface of a wire through an unmanned aerial vehicle carrying an infrared thermal imager and a multispectral camera; calculating a temperature gradient direction of a conductor main body area, screening an abnormal hot spot area whose axial included angle with the conductor is smaller than a preset angle, and positioning an oxidation area boundary by using a spectral absorption attenuation curve of an oxidation layer in the multispectral data; performing space matching on the hot spot migration direction and the oxidation boundary to generate a visual map; establishing a dynamic association rule according to an included angle variable quantity of a hot spot path in the map and a spectrum abrupt change point in the oxidation region; according to the critical angle threshold value and the sudden change point number threshold value, the defect grade is judged, and a defect analysis report is generated. According to the technical scheme provided by the invention, the automation degree and accuracy of defect detection are improved.

The invention relates to the technical field of infrared gas analysis, and discloses a multi-sensor fused infrared gas analysis method and device.The method comprises the steps that self-adaptive digital filtering and multi-scale wavelet denoising operation is carried out on multi-component gas spectral absorption data collected by a multi-band infrared sensor array; a corrected multi-dimensional spectrum matrix is obtained; performing partition cross validation compensation operation to obtain a standard spectrum matrix; constructing a covariance matrix, and extracting principal component features and latent variable features through eigenvalue decomposition to obtain a spectral eigenvector; inputting a deep self-encoding network model to carry out nonlinear mapping and residual reconstruction calculation to obtain a compensated feature mapping vector; performing information fusion to obtain a fusion decision vector; and respectively inputting the fusion decision vector into a Gaussian kernel support vector classifier and a partial least square regression model, and outputting a type identifier and a concentration value of the target gas. According to the method, high-precision identification and quantitative analysis of gas components are realized.

The invention discloses a gas concentration detection method, device and equipment and a storage medium. The method comprises the following steps: acquiring sensing data points generated by two sensors which are based on a spectral absorption principle and have higher detection precision and higher response speed at the same time to detect the concentration of target gas in real time; then converting each sensing data point into a concentration data point with a feature item comprising a timestamp by utilizing a pre-trained BP neural network and combining with a Lambert-Beer law; determining available measurement data of the preset Kalman filter at the current time step from all the concentration data points according to each timestamp; and finally, acquiring a concentration predicted value of the target gas at the current time step by using a preset Kalman filter, and updating the state of the preset Kalman filter according to the available measurement data and the current concentration predicted value, so as to obtain a concentration estimated value of the target gas at the current time step. Therefore, both high detection precision and high response speed are realized.

The invention belongs to the technical field of spectrum detection, and particularly relates to a spectrum smell recognition module which comprises a light source device, a first concave reflector assembly, a second concave reflector assembly, two angle-adjustable reflectors and a spectrum sensor assembly. A gas spectrum absorption cell and a gas spectrum reference cell are formed between the first concave reflector and the second concave reflector, a transparent optical window is arranged between the gas spectrum absorption cell and the gas spectrum reference cell for isolation, and an angle-adjustable reflector is arranged at each of the two ends of the gas spectrum reference cell; by synchronously switching the angles of the two angle-adjustable reflectors, the real-time switching of the spectrum smell recognition module between the gas spectrum absorption cell and the gas spectrum reference cell is realized, and the intensity of the gas spectrum absorption signal is superposed and accumulated through multiple times of switching to carry out spectrum signal analysis. According to the invention, the intensity of a gas spectrum absorption signal and the accuracy and stability of a spectrum signal are improved, and meanwhile, the self-calibration function of the spectrum smell recognition module is also realized.

The invention belongs to the technical field of deep learning and image processing, and discloses an underwater image enhancement method based on tensor learnable prior. By designing learnable prior based on a Tensor Train kernel, explicit modeling of the underwater degradation law is realized. The four Tensor Train kernels correspond to the height, the width, the channel and the image block modality respectively, so that the system can simultaneously describe the vertical structure change, the horizontal scattering, the spectral absorption difference and the regional scale attenuation, thereby obviously enhancing the description capability for the underwater multimode degradation. The Tensor Train kernel is dynamically generated based on the kernel prediction sub-network, the prior structure of the method can be adaptively adjusted along with the input image, and the stability and generalization ability of the enhancement result are improved. According to the method, color shift is effectively corrected and scattering blur is inhibited while the structure edge is kept, so that the enhancement process is changed from traditional black box type mapping to physical consistency structured reasoning, and more natural colors, higher contrast and better detail recovery effects are obtained in a complex turbid environment.

According to the rapid detection device for the water content of the oil and the calibration method thereof, the water content of the oil is rapidly detected through a microwave method, and the characteristic speed is high; self-calibration is carried out on the microwave method by utilizing a high-precision spectrum method, so that the water content can be measured at high precision through the spectrum absorption effect of gas after the water of the measured liquid is fully evaporated; the two methods are combined, a microwave method test result is calibrated according to an infrared spectroscopy test result, a formation correction coefficient of the microwave method result capable of being rapidly measured is formed, and the rapid detection method is formed by giving play to the advantage of rapid response of the microwave method.

The invention relates to the technical field of spectral data processing, in particular to a food component detection method and system based on spectral analysis. The method comprises the following steps: constructing a simulated Gaussian mixture model of all suspected absorption peak wavelengths, obtaining an optimal estimation parameter of the simulated Gaussian mixture model, and screening out a Gaussian center wavelength; according to the relative distance between each wavelength and the Gaussian center wavelength, obtaining the single spectrum absorption peak characteristic of each wavelength of each sample; combining the correlation coefficient of the absorbance in the neighborhood range of each wavelength between each sample and other samples to obtain the overall spectral absorption peak characteristic of each wavelength; forming a one-dimensional column vector of an absorbance matrix by the absorbance of all the samples under each wavelength; and carrying out dimension reduction processing on the absorbance matrix to obtain dimension reduction data of the absorbance matrix. According to the method, the accurate absorption peak performance characteristic of each wavelength is obtained, important characteristics are reserved during dimension reduction, and the accuracy of a dimension reduction result is improved.

The invention provides a wide-spectrum photoelectric detector and a preparation method thereof, and relates to the technical field of photoelectric detectors, and the preparation method of the wide-spectrum photoelectric detector comprises the following steps: preparing an interdigital electrode on a conductive substrate; depositing perovskite quantum dots between the interdigital electrodes; and coating a protective layer on the interdigital electrode on which the perovskite quantum dots are deposited. Due to the fact that the interdigital electrode structure increases the contact area of the photosensitive material and the electrodes, the collection efficiency of photon-generated carriers can be effectively improved, and the sensitivity of the photoelectric detector is improved. As a photosensitive material, the perovskite quantum dots have a wide spectral absorption characteristic and high quantum efficiency, and can broaden the spectral response range of the detector. The coating of the protective layer can effectively isolate the influence of the external environment on the perovskite quantum dots, improves the stability of the device, and prolongs the service life. The preparation of the high-performance and stable wide-spectrum photoelectric detector is realized.

The present invention discloses mean and methods for using of a suspended solar cell system in agriphotovoltaic culture of plants, wherein said use comprising steps of providing a “tandem” selective spectral absorbance and transmittance system whose total transmittance is tailored to match said plants' required absorption (light intensity vs wavelength); providing said system with a base-area ATandem; and culturing said plants in an area ASurface below said a base-area ATandem; said ATandem≥f×ASurface; f ranges between 0.51 to 1.00. The present invention discloses agriphotovoltaic “tandem” selective spectral absorbance and transmittance system useful for culture of plants.

The invention relates to the field of trace element detection, in particular to a system for detecting the concentration of trace elements in water. The gas chamber is connected with the atomization device, is internally provided with a light path capable of dynamically adjusting the White cell, and is used for enhancing a spectral absorption signal of the low-concentration trace elements; the light path modulation module is mounted on the side wall of the gas chamber; the temperature control module is used for adjusting the temperature of the optical element and the air chamber; the spectrum detection module is arranged behind the light outlet of the gas chamber and is used for detecting a spectrum signal after the aerosol is absorbed; the ionization and mass spectrum module comprises an ionization source and a mass spectrometer, the ionization source is used for ionizing the aerosol in the gas chamber into ions, and the mass spectrometer is used for separating the ions according to the mass-to-charge ratio and detecting the ions. According to the invention, a spectrum and mass spectrum combined technology is adopted, a water sample to be detected is atomized into aerosol water drops, and high-sensitivity detection of trace elements in water is realized by enhancing a spectrum absorption signal of low-concentration trace elements.

The invention discloses a real-time quantitative calibration spectrum on-line detection device and a use method thereof, a standard substance with a known concentration is accurately injected into a mixer and is mixed with a reaction liquid on line, and then a spectrum detector obtains spectrum absorption data of the mixed liquid; on the basis of the spectral absorption intensity linear superposition relation between the standard substance and the reaction liquid and the metering relation between the target product and the injected target product, online correction is carried out, and finally the concentration value of the target product is obtained. The online standard sample injection and dynamic online calibration technology is introduced, so that the problems of low quantitative precision, manual sampling lagging and the like in chemical reaction monitoring are solved, and the online standard sample injection and dynamic online calibration technology is particularly suitable for the fields of photochemical synthesis, continuous pharmacy and the like with strict process analysis timeliness requirements.

The invention provides a thermal injection gas temperature measurement method and system based on spectral absorption, and the method comprises the steps: obtaining absorption spectrum signals before and after ignition of thermal injection gas, and carrying out the baseline correction of the absorption spectrum signals after ignition based on the absorption spectrum signals before ignition; performing environmental absorption interference processing on the corrected post-ignition absorption spectrum signal to obtain a target absorption signal reflecting the self absorption characteristic of the thermal injection gas; based on the target absorption signal, total integral absorbance in the two different measurement frequency bands is determined, and according to the ratio of the total integral absorbance of the two different measurement frequency bands, the pre-established mapping relation between the total integral absorbance ratio and the temperature is combined, and the temperature of the thermal injection gas is obtained through inversion. The invention provides a thermal injection fuel gas temperature measurement method based on a combined absorption spectral line so as to solve the problems of alignment of absorption signal base lines, interference removal of absorption components outside fuel gas jet flow, temperature inversion based on the combined absorption spectral line and the like, and a high-temperature fuel gas jet flow temperature measurement result is obtained.

The invention provides a bonding layer of a carrier wafer, a preparation method of the bonding layer, a wafer bonding structure and a photon de-bonding method. The bonding layer comprises an inorganic medium layer and an inorganic heat conduction layer which are arranged on the surface of the transparent carrier in a stacked mode in the direction away from the surface of the transparent carrier. According to the invention, the laminated structure of the inorganic dielectric layer and the inorganic heat conduction layer is arranged on the surface of the transparent carrier, so that the wide spectrum absorption capability of the bonding layer is enhanced under the condition that the surface has relatively low roughness; the solar cell has the advantages of being high in photo-thermal conversion efficiency, extremely low in transmittance, high in high temperature resistance and chemical resistance and repeatable.

The invention relates to a method for determining the time evolution of the concentration of a chemical compound in a fluid, using an optical measurement system and a temperature sensor. For each predefined temperature within a plurality of predefined temperatures, an intermediate model (MTc1, MTc5) of the absorbance evolution as a function of concentration is constructed by means of linear regression and from absorption spectra measurements performed on a plurality of fluid samples at distinct concentrations of the chemical compound. From the slopes and y-intercepts of each intermediate model (MTc1, MTc5), a model of the absorbance evolution as a function of concentration and temperature is determined by linear regression.Then we determine a time evolution of a concentration of the chemical compound using the model thus determined and from a measurement of an absorption spectrum and a temperature.

The invention belongs to the technical field of medicine detection, and discloses a Raman spectrum-based traditional Chinese medicine decoction piece total flavone content detection method, which comprises: obtaining standard spectrum data of a standard flavone compound and characteristic spectrum data of a traditional Chinese medicine decoction piece sample; performing correlation degree evaluation according to the characteristic spectrum data and the standard spectrum data to obtain a flavone characteristic peak recognition matrix of each traditional Chinese medicine decoction piece sample; screening an effective characteristic wave band based on the flavone characteristic peak identification matrix; according to the spectral absorption intensity and the structure information of the effective characteristic wave band of each traditional Chinese medicine decoction piece sample, compiling a flavone quantitative characterization vector of the sample; detecting the content of total flavonoids in the traditional Chinese medicine decoction pieces on the basis of the flavone quantitative characterization vectors; the detection accuracy of the total flavone content of the traditional Chinese medicine decoction pieces is greatly improved.

The invention relates to the technical field of agricultural product detection, in particular to a method for identifying the taste quality difference of Hainan mulberry leaf green tea with different tenderness, which comprises the following steps: obtaining Hainan mulberry leaf green tea samples, measuring the near infrared spectrum absorption value of each sample at 800-2500nm, recording the absorption values in a data array, and generating a spectrum absorption data array. According to the method disclosed by the invention, the chemical components and the taste quality of the Hainan mulberry leaf tea can be evaluated through differential processing of the spectral absorption data and color space conversion from RGB (Red Green Blue) to HSV (Hue Saturation Value). The quality of the tea leaves is comprehensively evaluated by statistically analyzing spectrum change indexes and color characteristic indexes, and quantitative data support is provided. And particularly, correlation coefficients are used for calculation, so that the correlation degree among different quality indexes is defined, and the quality evaluation is more scientific and systematic. According to the method, the quality control is more targeted in the production process, and producers are helped to adjust the process and optimize the product quality.

The invention relates to the field of agricultural mulching films, and particularly discloses a full-biodegradable PE mulching film with a specific spectral absorption characteristic and a preparation method of the full-biodegradable PE mulching film. The invention discloses a full-biodegradable PE mulching film with specific spectral absorption characteristics. The full-biodegradable PE mulching film comprises a substrate layer and at least one color layer which is positioned on at least one side of the substrate layer, the substrate layer is prepared from the following raw materials: PE resin, biodegradable master batches and a filling material; the color layer is prepared from the following raw materials: biodegradable master batches, spectrum adjusting pigment master batches, plant fibers, an antioxidant, a light stabilizer and a dehumidizer; the spectrum adjusting pigment master batch comprises the following raw materials: 100 parts of PE resin, 14-20 parts of pigment powder, 1-3 parts of a dispersant, 7-14 parts of a needle-like filler and 5-10 parts of chitosan porous microspheres. The PE mulching film has specific spectral absorption characteristics, can meet the requirements of different crops for maximization of photosynthetic efficiency, can be quickly and naturally degraded while meeting the basic use performance of the PE mulching film, and reduces farmland residual film pollution.

A system for measuring a target gas via laser absorption spectroscopy in an open-air configuration, comprising a mid-infrared distributed feedback interband cascade laser (mid-IR DFB-ICL) having a wavelength selected to correspond with a spectral absorption line of the target gas and first electronic circuitry to control the laser temperature, current and modulation frequency. The mid-IR DFB-ICL is mounted to a heat sink. The system includes an optical component that projects a beam of the mid-IR DFB-ICL onto a distal backscattering directionally-reflective target and an optical receiver assembly that receives a fraction of the laser light that is backscattered from the directionally-reflective target and focuses the collected light onto an uncooled photodetector having a spectral bandwidth and optical configuration selected to optimize signal-to-noise response to received laser light. The optical receiver assembly comprises a primary mirror for receiving laser light backscattered from the directionally-reflective target and focusing the collected light onto the uncooled photodetector.

The invention relates to a system for detecting dissolved gas in transformer oil and a calibration-free detection method, and the system mainly comprises a transformer oil degassing unit, a current controller, a temperature controller, a laser, a gas absorption cell, an optical etalon, a photoelectric detector and a microprocessor, the system outputs the concentration of the dissolved gas in the transformer oil through a calibration-free detection method. According to the calibration-free detection method, after logarithmic transformation processing is carried out on light intensity information obtained by the system, residual analysis is carried out on the light intensity information and the simulated spectrum absorptivity, and a detection result is output after an iterative convergence condition is met. The system for detecting the gas dissolved in the oil and the calibration-free detection technology can improve the detection limit of the gas and the dynamic detection range, and have the advantages of being free of maintenance for a long time, stable, reliable and the like.

The invention discloses an on-orbit spectrum precision test method and equipment for an ultraviolet hyperspectral remote sensor, and the method comprises the steps: selecting a high-resolution reference solar spectrum higher than the spectral resolution of the ultraviolet hyperspectral remote sensor, and calculating a reference standard solar spectrum according to the high-resolution reference solar spectrum; establishing a reference wavelength library according to the reference standard solar spectrum of the ultraviolet band, and selecting a standard absorption line meeting conditions as a reference wavelength; screening an absorption peak center position of the observation spectrum, finding an absorption peak center closest to the reference wavelength in combination with the reference wavelength library, and constructing a peak searching database of the absorption peak center of the discrete spectrum; and calculating a difference value between the central wavelength calculated according to the peak searching database and the corresponding reference wavelength to obtain the spectrum calibration precision of the ultraviolet hyperspectral remote sensor. According to the method, the precision difference of the spatial dimension can be identified, the distribution of the overall system deviation is quantified, and reliable support is provided for on-orbit precision verification and performance optimization of the ultraviolet hyperspectral remote sensor.

The invention relates to the technical field of face recognition, in particular to a safety management system based on face capture, which comprises a multispectral acquisition module, a biological feature extraction module and a space-time modeling module, comprising face image data of a visible light wave band and a near-infrared wave band; the biological feature extraction module performs subcutaneous biological tissue chromatographic analysis based on spectral absorption difference according to the facial image data of the near-infrared band; according to the face image data of the visible light wave band and the near-infrared wave band, surface material reflection characteristic identification is carried out; according to the face image data of the visible light wave band, dynamic micro-expression relevance feature extraction is carried out; the space-time modeling module receives a processing result of the biological feature extraction module and constructs a feature model including a short-term dynamic mode and a long-term evolution trend.

The invention relates to a design and preparation method of selective spectral transmission agricultural photovoltaic glass, and belongs to the field of photovoltaic agricultural cross technologies. The agricultural photovoltaic glass is synergistically designed through multiple layers of functional structures and comprises a selective spectrum transmission layer, a bottom diffuse scattering layer and an edge photovoltaic unit. The selective spectrum transmission layer is formed by compositing a photoluminescence substance layer and a glass layer, incident ultraviolet light (300-400 nm) can be converted into red light (620-680 nm), the number of parts beneficial to crop growth in transmission light is increased, selective transmission of incident solar spectrums is achieved, and full transmission of visible light (400-700 nm) and infrared light (700-1000 nm) is guaranteed while ultraviolet light is isolated. The photovoltaic unit is arranged along the edge of the glass, and utilizes the optical waveguide total reflection principle to efficiently collect ultraviolet converted light for power generation. The problems that traditional photovoltaic glass is low in light transmittance and spectral absorption conflicts with plant requirements are solved, and synergistic interaction of greenhouse light transmittance, crop growth and clean power generation is achieved.

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.

The invention discloses a target infrared radiation characteristic calculation method based on a neural network, and belongs to the field of aero-engines. Constructing a first BP neural network model; constructing a second BP neural network model; a detection point is set, rays are emitted to a target, and the positions of the rays are judged in real time through the second model: if the output label is 0, the rays continue to be transmitted, and radiation calculation is not triggered; if the output label is 1, calling the first BP neural network model to calculate a spectral absorption coefficient of a current wave band; judging the ray absorption state based on the spectral absorption coefficient; if the ray is not absorbed, repeating the step of judging the position of the ray, otherwise, terminating the current ray calculation; and counting radiation data of absorption positions of all the rays until all the rays are absorbed in all the wave bands, and outputting target infrared radiation characteristics. According to the method, triple contradictions of spectral precision-computational efficiency-path optimization are broken through through a dual-neural network collaborative architecture.

The invention relates to a soil salinization monitoring method and system based on spaceflight hyperspectral remote sensing, and belongs to the technical field of geographic condition monitoring, and the monitoring method comprises the steps: obtaining spaceflight hyperspectral remote sensing data of a target soil area; preprocessing the spaceflight hyperspectral remote sensing data to obtain surface reflectance data; performing pixel-by-pixel analysis on the surface reflectance data, and extracting spectral absorption data of each pixel at a preset wavelength; calculating a salinization index value of each pixel based on a preset algorithm according to the spectral absorption data of each pixel at the preset wavelength; based on the salinization index value of each pixel, salinization degree spatial analysis is carried out, and salinization degree spatial distribution information of the target soil area is obtained. The precision of soil salinization monitoring can be improved.

According to the photo-thermal evaporation-photocatalysis hydrogen production system, hydrogen production can be carried out while seawater desalination is achieved through a photo-thermal evaporation-photocatalysis hydrogen production composite material, photo-thermal conversion can be achieved through carbonized wood (wood subjected to surface carbonization treatment), and seawater is evaporated to obtain water vapor; the water vapor participates in hydrogen production reaction on the surface of the photocatalytic hydrogen production catalyst as a reaction raw material. The photo-thermal evaporation-photocatalytic hydrogen production composite material provided by the invention not only can broaden spectral absorption, but also can expand the absorption wavelength of a sunlight spectrum to visible light and near-infrared regions; meanwhile, the interface reaction resistance is also reduced, and electron-hole separation and transfer are optimized, so that the utilization rate of light energy is improved, and the yield of hydrogen is further improved.

The invention provides a pulsed light therapeutic instrument laser power adjusting method and device, and relates to the technical field of medical instruments, and the method comprises the steps: sequentially starting illumination modes formed by combining different real-time correction light color temperatures and real-time correction light brightness according to a preset sequence, and carrying out the image collection of a skin irradiation window region in each illumination mode, forming a group of light correction images under a multi-illumination condition; performing inversion solution by taking the change of the pixel reflection value of the same area in the plurality of light correction images under different illumination conditions as a variable, and estimating the intrinsic reflection characteristic of the skin under the standard illumination condition; the intrinsic reflection characteristics are mapped to a Fertzpayer color gradation index, and the melanin density of the skin surface layer is estimated in combination with a skin color spectrum absorption model; and determining the laser power of the therapeutic apparatus based on the melanin density and the skin color characteristics of the skin in the state of turning off the illumination mode. The laser power can be adjusted according to different skin colors in combination with ambient light.

The invention discloses a tunable semiconductor laser spectrum absorption method, and relates to the technical field of spectral analysis. The method comprises the following steps: step 1, constructing a multi-optical-path measurement gas chamber; 2, setting light source parameters; 3, gas concentration calculation; 4, correcting and outputting a result; by means of the gas chamber structure for multi-optical-path measurement, the optical path length is increased, the intensity of absorbed signals is improved, the spectrum quality and the signal-to-noise ratio are guaranteed through optimized mid-infrared light source and laser output light parameters, the stability and reliability of an optical path are guaranteed, and high-precision and high-efficiency detection of the gas concentration is achieved.

This invention belongs to the field of food or beverage processing technology, specifically relating to an intelligent evaluation and brewing control system for tea infusion quality based on multi-source sensor fusion. The system uses a multi-wavelength optical sensor array and distributed temperature sensors to acquire spectral absorption peak shift characteristics and temperature gradient vectors, respectively, and then concatenates them to construct a three-dimensional tensor containing time, spatial height, and wavelength dimensions. This three-dimensional tensor is input into a spatiotemporal graph convolutional network. Its spatial graph convolutional layer extracts spatial features using temperature nodes at different height levels as vertices and thermal conduction physical relationships as edges; the temporal convolutional layer extracts temporal features; and the fully connected layer outputs the predicted solute release rate and the deviation value of the target temperature gradient. The controller generates pulse-width modulation signals based on the deviation values ​​to adjust the heating plate power and the timing of the water injection valve. This invention jointly analyzes heat distribution and solute concentration changes, and corrects control commands based on the physical release state of the solute, ensuring that temperature field changes match solute diffusion.

The invention provides a solar photovoltaic system, and belongs to the technical field of photovoltaics. The system comprises a light condensation module which is used for self-adaptively focusing according to the illumination condition and splitting light; the wide-spectrum absorption photovoltaic module is used for receiving the light transmitted by the condensation module and optimizing spectrum absorption; the intelligent control system is used for generating an optimal strategy through a preset fusion model according to the collected various aspects of data of the solar photovoltaic system, and sending a control instruction according to the optimal strategy; the storage battery module is used for storing electric energy from the wide-spectrum absorption photovoltaic module; and the electric energy output and adaptation module is used for receiving the electric energy of the storage battery module. According to the invention, the absorption range of the solar spectrum is widened; the optimal control strategy can be accurately generated in real time, and the whole solar photovoltaic system can quickly adapt to complex working conditions and always keep an efficient and stable operation state through cooperative regulation and control of all the modules.