752 results about "Spectrum light" patented technology

The invention discloses an optical performance detection system and method for a camouflage material, and relates to the technical field of camouflage material detection, and the system comprises a structure identification and illumination control module which is used for collecting a surface image of a camouflage material sample, identifying the surface structure of the sample, starting a full-spectrum light source, and simulating step-by-step illumination from weak light to strong light; carrying out RGB imaging based on the standard illumination; and the region division module is used for applying a superpixel segmentation algorithm to the image, automatically dividing sub-regions, performing hyperspectral reflectivity scanning on each region, synchronously acquiring a light intensity image in a polarization direction, calculating a Stokes vector and constructing a polarization enhanced image. According to the method, frequency domain quantitative analysis of microcosmic interference fringes and accurate mask extraction of polarization abnormal areas can be realized, optical exposure risks of camouflage materials under complex illumination and visual angle conditions are effectively quantified through multi-angle reflection sampling and scoring function modeling, and the detection precision, the area pertinence and the automation level are remarkably improved.

The invention discloses a thyroid intraoperative real-time navigation method and a thyroid intraoperative real-time navigation system based on multi-mode optical fusion. The thyroid intraoperative real-time navigation method comprises the following steps: outputting visible light through an endoscope and coupling light waves of a narrow-band multispectral light source to irradiate an operative field, exciting parathyroid glands to generate near-infrared fluorescence, and receiving reflected visible light, split light, near-infrared fluorescence and laser speckle signals through an endoscope probe. And separating the composite optical signal into four channels, and respectively generating an anatomical structure color image, a blood vessel spectroscopic image, a parathyroid gland near-infrared fluorescence image and a laser speckle image. Performing decorrelation processing on the laser speckle image to generate a blood flow dynamic pseudo-color decorrelation speckle image; an anatomical structure, a blood vessel center line, a parathyroid gland contour and blood flow dynamic feature points are extracted through a multi-modal registration technology, after affine transformation space alignment is conducted, a comprehensive imaging map containing the anatomical structure, blood vessel distribution and parathyroid gland function marking information is generated through a wavelet fusion algorithm, and intraoperative multi-dimensional real-time tissue navigation is achieved.

The invention discloses a spectrum pretreatment method for online detection of coal quality through multi-spectrum combination and related equipment. The method comprises the following steps: synchronously collecting LIBS and NIRS spectrums of raw coal by using a multi-spectrum combination online detection coal quality device; respectively carrying out effective screening on the synchronized LIBS and NIRS spectrums; identifying the defocusing amount of each group of synchronized LIBS and NIRS spectrums, and distributing a corresponding defocusing amount label for each group of spectrums; correcting the defocusing spectrum by adopting a spectrum correction method according to the defocusing amount label to obtain corrected LIBS and NIRS spectrums, and fusing the corrected LIBS and NIRS spectrums to obtain a corrected fused spectrum; and analyzing the LIBS spectrum, the NIRS spectrum and the fusion spectrum by adopting a quantitative analysis method, and calculating the fixed carbon content. The LIBS and NIRS spectrum fusion makes up the limitation that a single spectrum can only represent atomic information or molecular information, so that the chemical information of the coal sample is completely represented, and synchronous accurate analysis of multiple coal quality indexes is realized.

The invention relates to the technical field of optical fiber sensing, and provides a distributed fiber bragg grating temperature measurement method for boiler wall temperature measurement, which comprises the following steps of: firstly, preparing a sensor probe consisting of grating optical fibers, connecting the sensor probe with a demodulator, and starting the demodulator after the sensor probe is mounted; the laser is started, a wide-spectrum light source emitted by the laser enters the optical fiber, when the wall temperature of the boiler changes, the effective refractive index and the grating period of the grating are changed, then the Bragg wavelength moves, the data demodulation module detects the movement amount of the wavelength and converts the movement amount into corresponding temperature data, and the temperature data are transmitted to the optical fiber. Then analyzing, calculating and displaying the data; the temperature of the temperature measuring point of the furnace wall is measured through the sensor probe based on the fiber bragg grating, the demodulator analyzes the temperature data and displays the temperature data through the display screen, and therefore accurate temperature measurement of the furnace wall is achieved.

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 utility model discloses an agricultural and fishery photovoltaic power station system, which relates to the technical field of agricultural and fishery energy conservation and comprises a photovoltaic module, a photovoltaic power generation module, a photovoltaic power generation module and a photovoltaic power generation module. An adjustable spectrum lamp is suspended on the lower side of the photovoltaic module; an image sensor is arranged on the side face of the photovoltaic support. The control system comprises a signal receiving module, a processing module and a control module; the signal receiving module is used for receiving a transmission signal of the image sensor; the processing module is used for judging the plant type and the growth period and selecting a corresponding spectrum to output a control signal; and the control module is used for controlling the on and off of the control switch and the type of the spectrum output by the adjustable spectrum lamp according to the control signal. By the adoption of the scheme, when photovoltaic power generation is carried out on the outdoor water surface, light supplementing can be carried out on the shielded aquatic plants, and therefore growth of the aquatic plants is promoted through the adaptive spectrum light source, and the agricultural and fishery production yield is increased.

The invention provides a detection system of a micro optical fiber coupler based on a bidirectional optical frequency comb vernier effect, which can be applied to the technical field of photoelectric detection. The system comprises: an optical frequency comb light source configured to emit detection light; the beam splitter is arranged to split the detection light into first sub-detection light and second sub-detection light; the reference sensing unit is arranged to guide the first sub detection light to interact with a reference solution through an evanescent field of the first micro optical fiber coupler so as to output first transmission light; the detection sensing unit is arranged to guide the second sub detection light to interact with the solution to be detected through an evanescent field of the second micro optical fiber coupler so as to output second transmission light; the beam combiner is set to combine the first transmission light and the second transmission light to obtain a combined light spectrum; the spectrum analyzer is set to collect the combined light and generate a vernier spectrum; and the processor is set to determine the concentration of the liquid to be detected according to the vernier spectrum.

The invention discloses a cultivation method for accelerating wheat cycle iteration, and belongs to the technical field of wheat cultivation. The method comprises the following steps: (1) seed disinfection: performing disinfection treatment on wheat seeds, and culturing in a dark place until the seeds are white, (2) vernalization: performing illumination treatment on winter wheat at 4-13 DEG C; and (3) planting operation: transplanting the treated wheat seeds into a seedling tray, culturing under the combination of illumination intensity of 100-400 [mu] mol m <-2 > s <-1 >, white spectrum and photoperiod of 12-24 h light / 12-0 h dark until the wheat seeds are mature, and harvesting. The method has the beneficial effects that the TOPSIS method is utilized to comprehensively score and sort different light intensity and light period combination conditions so as to determine the optimal illumination condition combination. By the adoption of the optimization method, the growth cycle of wheat can be remarkably shortened, screening and cultivation of germplasm resources are accelerated, the iteration efficiency and germination rate of generations are effectively improved, technical support is provided for rapid breeding of good varieties, and the optimization method has good application prospects.

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 discloses a sublingual collateral feature extraction and pathological analysis system and method, and relates to the technical field of traditional Chinese medicine tongue diagnosis. Dynamic pressure is applied to the sublingual through a miniature ultrasonic array arranged in a tongue depressor, and meanwhile, an annular polarization multispectral light source is started; an ultrasonic echo signal, a photoacoustic pressure wave and an anti-reflection multispectral image are collected to generate a time-space synchronous fusion data set, and further through a compressed sensing reconstruction algorithm, a biomechanical feedback engine, an acousto-optic thrombus analysis module and the like, the thrombus is reconstructed. According to the four-dimensional pathological risk assessment map generation method and system, the limitation of traditional static detection is overcome, dynamic coupling assessment of blood vessel biomechanical characteristics and thrombosis is achieved, and the risk assessment map generation method and system have the advantages of being high in accuracy, high in accuracy and high in reliability. And the clinical applicability and the diagnosis efficiency of sublingual vein analysis are remarkably improved.

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 utility model relates to the technical field of projection equipment, in particular to a light source device which comprises a narrow-spectrum light source, a wide-spectrum light source and a first light combining element, narrow-spectrum light beams emitted by the narrow-spectrum light source and wide-spectrum light beams emitted by the wide-spectrum light source are combined and emitted through the first light combining element, and overlapping wavebands exist between the narrow-spectrum light beams and the wide-spectrum light beams. The first light combining element reflects one of the light in the first polarization state of the overlapped wave band and the light in the second polarization state of the overlapped wave band while carrying out wavelength light combining, and transmits the other one of the light in the first polarization state of the overlapped wave band and the light in the second polarization state of the overlapped wave band. According to the utility model, the light loss during light combination when the wide-spectrum light beam and the narrow-spectrum light beam have overlapped wavebands is reduced, the utilization rate of the wide-spectrum light beam is improved, the light-emitting brightness is more effectively improved, high brightness, high color gamut and good comprehensive performance are realized, and the quality of a projection picture is effectively improved.

The invention discloses a semiconductor material multispectral optical characterization system and method based on deep learning. In a light path system of the system, a light source irradiates a semiconductor material sample to excite optical response; the light path beam splitter receives light provided by the light source, reflects the light to the surface of the semiconductor material sample, and transmits the light reflected by the semiconductor material sample to the spectrograph; the spectrograph modulates and processes the received optical signals and then transmits the optical signals to the detector; and the detector converts a received optical signal into an electric signal. A data processing module in the computer system acquires multispectral data of the semiconductor material sample through a multispectral imaging technology according to the electric signal; and carrying out feature extraction and analysis on the multispectral data by the deep learning model, and outputting a multispectral optical characterization result. Automatic analysis and feature extraction of spectral data are realized by using an integrated optical measurement technology and an artificial intelligence algorithm, and the measurement accuracy and the measurement efficiency of semiconductor material characteristics are improved.

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.

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.

There is provided an optical measurement device including a spectral optical system that disperses fluorescence emitted from a biological specimen, and an image sensor that receives the fluorescence dispersed by the spectral optical system and generates fluorescence information. The image sensor is divided into a plurality of regions that receive different wavelength components of the fluorescence and generate fluorescence information for each of the wavelength components.

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.

The invention discloses an unmanned aerial vehicle interception method and device, a storage medium and an electronic device.The method comprises the steps that whether an unauthorized unmanned aerial vehicle exists in a new energy production field or not is determined through detection equipment, and the detection equipment comprises a phase control radar, radio detection equipment and unmanned aerial vehicle data access equipment; and under the condition of confirming that the unmanned aerial vehicle exists in the new energy production field area, sending related information of the unmanned aerial vehicle acquired by the detection equipment to a dual-spectrum photoelectric device, and tracking the unmanned aerial vehicle based on the related information through the dual-spectrum photoelectric device to obtain a tracking result, the related information at least comprises a distance between the unmanned aerial vehicle and the detection equipment, an azimuth angle and a pitch angle; and intercepting the unmanned aerial vehicle based on the tracking result through an intercepting device. The problem that the unauthorized unmanned aerial vehicle entering the new energy production field cannot be found and intercepted in time is solved.

The invention discloses a Fourier photoacoustic gas detection device and method, and belongs to the technical field of gas detection. In order to solve the problems that the anti-interference capability of an existing Fourier transform photoacoustic spectrum on a sound signal is limited and the detection sensitivity is low, the Fourier photoacoustic gas detection device is designed, and a super-continuum spectrum broadband light source is used as an excitation light source of a photoacoustic effect; uniform intensity modulation of wide-spectrum light is achieved through the intensity modulation assembly, and phase modulation is achieved through the interferometer assembly. The broadband interference light emitted through double modulation acts with gas molecules to generate wide-spectrum mixed sound waves, and the quartz tuning fork sound measurement assembly extracts resonance components in the wide-spectrum mixed sound waves and converts the resonance components into electrical signals; the generated electrical signal is processed by the signal amplification assembly, the phase-sensitive demodulation assembly and the Fourier transform assembly in sequence, and component discrimination and concentration inversion of the target gas are realized by the processed signal.

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 relates to a double-light-path broadband multispectral optical imaging system, which is characterized in that broadband multispectral illumination and imaging are separated into a visible light band imaging light path and a near-infrared band imaging light path, so that the spectral width of the visible light band imaging light path and the spectral width of the near-infrared band imaging light path are reduced; the difficulty in correcting chromatic aberration in a broadband multispectral optical imaging system is reduced, and high-quality fundus multispectral images and color images are obtained; meanwhile, a polarization reflection elimination technology is adopted, a visible light wave band image and a near-infrared wave band multispectral image can be obtained at the same time only through the wave bands of visible light and near-infrared light, the elimination difficulty of stray light is reduced, and the accuracy of stray light elimination is improved. According to the design scheme of the visible light band imaging light path and the near-infrared band imaging light path, the coating range of the lens and the polarized light eliminating and reflecting device in the two light paths is narrower, the design is simplified, and the performance is better.

The invention discloses an intermediate infrared super-continuum spectrum light source with a spatial light structure, which comprises a pumping source, a light source, a light source and a light source, the collimating lens is used for collimating the pump light and outputting parallel light; the grating pair is formed by arranging two gratings in parallel and is used for splitting the light input into the grating pair according to the frequency, changing the optical path of the light of each frequency and outputting transmission light to the roof prism; the optical fiber is also used for compounding the light returned to the grating pair from the original path of the roof prism, realizing pulse compression and outputting compressed light to the reflector; the roof prism is used for reflecting the light penetrating through the grating pair to penetrate through the grating pair again; the reflecting mirror is used for reflecting the compressed light; the focusing lens is used for focusing the compressed light reflected by the reflecting mirror; and the compressed light focused by the focusing lens is spatially coupled at a focal point to enter the fluoride optical fiber, and intermediate infrared super-continuum spectrum laser is output. In the spatial optical coupling system, the grating pair is used for compressing the pulse, and further broadening of the super-continuum spectrum is 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 a photobioreactor in the field of bioengineering, and particularly relates to a photobioreactor system with novel LED spectrum design for microalgae cultivation. Which comprises a reaction tank (used for containing algae liquid and assembling a special spectrum light source transparent pipeline and related equipment), a special spectrum light source transparent pipeline combination acting on a reaction system, and an automatic transparent pipeline cleaning device, and is characterized in that a multi-spectrum light source combination lamp strip is placed in the special spectrum light source transparent pipeline; the multi-spectrum light source combined lamp strip comprises a main light source and an auxiliary light source, and the continuous spectrum design parameters of the main light source are as follows: the peak wavelength is 465-495 nm, the main wavelength is 510-535 nm, and the continuous spectrum range is 380-780 nm; according to the continuous spectrum design of the auxiliary light source, the light absorption peak of the microalgae is used as the peak wavelength, multiple continuous spectrums are formed, and the spectrum range is 380 nm to 780 nm. According to the invention, the problem of spectrum design defects of indoor artificial light culture of microalgae and the problem of wall adhesion of microalgae in a transparent pipeline of a special spectrum light source are solved, the photosynthesis efficiency of microalgae is improved, and the yield of microalgae is increased.

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.