763 results about "Optical sensing" patented technology

The invention relates to the field of civil engineering structure health monitoring, in particular to a subsea tunnel damage intelligent monitoring and identification method based on acousto-optic collaborative perception. The method sequentially comprises the steps of deploying a three-dimensional acousto-optic sensing network, actively detecting sound waves, reconstructing a local sound velocity distribution cloud picture, identifying a sound velocity abnormal region, performing optical fiber response focusing sampling and establishing an intelligent damage diagnosis model. According to the method, the three-dimensional acoustic array and the distributed optical fiber grid are simultaneously deployed in the subsea tunnel structure, functional complementation is realized between the three-dimensional acoustic array and the distributed optical fiber grid, seamless cooperative sensing of crack coarse positioning and strain fine positioning is further realized, acoustic active detection, trigger type optical fiber high-frequency sampling and a temperature-strain decoupling algorithm are adopted, and the positioning precision of the subsea tunnel structure is improved. Seawater noise and thermal expansion interference are effectively eliminated, 'dry cracks' and'water seepage cracks' are accurately distinguished, real-time monitoring is carried out on a subsea tunnel structure, whole-process identification of micro-damage-expansion-failure is achieved, and an active early warning mechanism is established.

The invention discloses an environment-adaptive transformer oil sample Raman spectrum detection method and related equipment, and relates to the field of optical sensing systems. The method comprises the following steps: collecting oil sample Raman spectrums and environmental parameters in multiple operation scenes, and constructing a multi-scene spectrum characteristic model and a standard fingerprint database; pre-processing and denoising parameters are adaptively set based on the environmental perception vector, and baseline correction and joint denoising are carried out on the original spectrum; scene discrimination is carried out by fusing the characteristics of peak position, peak height, peak width, integral area and the like, a scene-related component standard spectrum dictionary is generated, and the concentration and confidence of each target component are obtained by adopting constrained spectral line unmixing and quantitative calibration; and driving the fingerprint database and the model to update in combination with quality control indexes such as spectral shape relevancy and residual errors and a drift detection result. The system is composed of a Raman spectrum acquisition module, an environment monitoring module and a data processing module, and can improve the robustness and quantitative precision of Raman detection of transformer oil in a complex environment.

The invention provides an intelligent POB module integration platform and a control method thereof, and the method comprises the steps: detecting the state data of each pixel point of an LED display screen through an optical sensing array, obtaining a damaged pixel point in the LED display screen, recording the damaged pixel point to a storage unit, and maintaining a dead pixel position table in the storage unit; compensating the brightness of the bad pixel points through the neighborhood pixel points; the display content of the LED display screen is predicted through AI during compensation, and the refresh rate of the LED display screen is dynamically driven according to the predicted display content; according to the physical pixel density, the LED display screen is divided into grid partitions, the grid partitions are sorted according to priorities, the real-time power consumption of each partition is calculated after the LED display screen is refreshed, and if the real-time power consumption is larger than a preset threshold value, the current and the duty ratio of the low-priority area are reduced. Through the control method, a compensation scheme can be started in time after a dead pixel occurs, the maintenance and replacement cost is reduced, and the operation and maintenance efficiency is improved.

The invention relates to the technical field of peritoneal drainage, in particular to a peritoneal drainage system based on hemoglobin real-time monitoring and intelligent early warning. According to the technical scheme, the device comprises an abdominal cavity drainage tube, an optical sensing module, a microprocessor module and a wireless communication module, wherein the microprocessor module is configured to perform moving average filtering and dynamic trend modeling on hemoglobin concentration data; and triggering early warning according to a preset multi-level alarm condition. The hemoglobin concentration in the peritoneal drainage liquid is accurately monitored in real time, intelligent early warning and a personalized response mechanism are combined, the limitation of traditional manual observation is broken through, the timeliness and accuracy of bleeding risk identification are remarkably improved, the infection risk is reduced through the closed design, the medical care working process is optimized through the system integration capacity, and the medical care efficiency is improved. Data sharing and remote cooperation are achieved, intervention time windows are shortened, patient prognosis is improved, nursing resources can be released, medical quality is improved, and a comprehensive and efficient solution is provided for postoperative monitoring.

The invention discloses an intelligent water quality monitoring and pollution source identification method based on full spectrum analysis, and relates to the technical field of environmental monitoring optical sensing, and the method comprises the following steps: carrying out dynamic background stripping on a water body pollution metadata set to obtain a dynamic background spectrum, and building a spectrum purification model to carry out characteristic purification on the dynamic background spectrum to obtain a water body pollution data set; generating a pollution characteristic spectrum; performing multi-dimensional feature aggregation and hydraulic drive topology reconstruction on the pollution feature spectrum to generate a watershed pollution dynamic propagation relationship network diagram; performing physically constrained space-time convolution and propagation inversion on the watershed pollution dynamic propagation relationship network diagram to generate a pollution source probability distribution thermodynamic diagram; and carrying out responsibility association mapping on space anchor point coordinates of the pollution characteristic spectrum and pollution source center positioning of the pollution source probability distribution thermodynamic diagram, and generating a visual traceability report. Through dynamic background stripping and feature purification, high-fidelity extraction of pollution features under a complex optical background is realized, and the detectability of trace pollutants is remarkably improved.

The invention discloses an alanine aminotransferase detection device and method based on a liquid crystal microcavity array, and belongs to the field of optical sensing. The device comprises a functional liquid crystal microcavity array, an excitation optical fiber and a collection optical fiber, the microcavity array is composed of liquid crystal microcavities doped with fluorescent dye and stearic acid, and the multiple microcavities are independently distributed and serve as optical sensing units; the excitation optical fiber is used for synchronously exciting the microcavity to generate an echo wall mode, and the acquisition optical fiber acquires resonance spectrum signals of each channel in real time; the functionalized liquid crystal microcavity is converted into a bipolar configuration from a radial configuration in an enzymatic reaction, echo wall mode spectrum red shift is caused, spectrum shift time is in negative correlation with enzyme concentration, and dual-channel detection is realized by matching with conversion time of a polarized light pattern. According to the detection structure based on the liquid crystal microcavity array provided by the invention, high-flux, real-time and label-free rapid detection on the concentration of alanine aminotransferase can be realized.

The invention provides a four-port single-mode grating filter combined with a semi-symmetric fano resonance structure, and relates to the field of optical communication and optical sensing, and the filter comprises an F-P cavity and two bending coupling waveguides which are symmetrical up and down; the F-P cavity is arranged between the two bent coupling waveguides; the Bragg grating comprises a central waveguide, a conical grating and a Bragg grating; and two small circular holes are formed in each bent coupling waveguide. According to the technical scheme of the invention, two circular small holes are designed in each of the upper and lower bent waveguides to construct a semi-symmetric Fano resonant structure, and the two groups of circular small holes are in central symmetry. By constructing a semi-symmetric Fano resonant structure, the transmission efficiency of the drop end on the four-port single-mode grating filter is improved.

The invention discloses a guided-mode resonance refractive index detection device and method based on a longitudinal gradient grating structure, and belongs to the technical field of optical sensing and imaging spectrum detection, the guided-mode resonance refractive index detection device comprises a light source, an optical isolator, a polarization controller, a collimation beam expander, a guided-mode resonance sensing chip, an image detector and a signal processing unit which are connected in sequence; the guided-mode resonance sensing chip is of a transmission type structure, the top of the guided-mode resonance sensing chip is provided with a strip-shaped nano structure which is consistent in period but longitudinally gradually changed, and an image detector is arranged below the guided-mode resonance sensing chip and used for receiving a transmission light signal penetrating through the guided-mode resonance sensing chip, generating a transmission light image and transmitting the transmission light image to the signal processing unit; and the signal processing unit is used for analyzing the transmitted light image and inverting the refractive index of the medium to be measured according to the structure mapping model. According to the invention, the longitudinal structure gradual change characteristic is introduced into the guided-mode resonance chip, so that the spatial distribution control of the monochromatic light resonance response position is realized, and finally the imaging refractive index sensing without an optical splitter is realized.

The invention relates to a self-adaptive on-chip optical coherence beam combiner and a method thereof, and belongs to the technical field of integrated photonics and optical coherence combination. Aiming at the problems of difficult phase matching, high system complexity, insufficient stability and the like in the prior art, the invention provides an efficient solution based on an intelligent optimization algorithm and a closed-loop feedback mechanism. The optimal voltage setting is quickly found through an intelligent optimization algorithm, and accurate phase and amplitude adjustment of the multi-path input light field is realized; based on a closed-loop feedback mechanism, the phase and amplitude of the beam combining unit are monitored in real time and dynamically adjusted, and the stability and reliability of the system are ensured. The high-integration-level on-chip optical system is realized, the complexity and the operation difficulty of the system are remarkably reduced, and meanwhile, the performance of each beam combining unit is ensured to be optimal through step-by-step optimization, so that the output power of a beam combining port is maximized. The method can be applied to the fields of optical communication, optical sensing and the like, and a new solution is provided for development of the optical coherent combination technology.

The invention provides an optical sensing measurement method based on closed-loop adjustment of LED driving, and relates to the technical field of optical sensing. The method comprises the following steps: initializing a system; the microcontroller reads a current value of the analog-to-digital converter and calculates an error; calculating a new set value of the driving current of the light emitting diode according to the error; the microcontroller outputs the new set value to the digital-to-analog converter, the digital-to-analog converter controls the driving circuit to adjust the driving current of the light emitting diode, and after a preset time period, the current value of the analog-to-digital converter is collected; repeating the steps, when the error absolute value is smaller than a preset threshold value, judging that closed-loop convergence occurs, and recording the driving current at the moment and the current value of the analog-to-digital converter as measurement results; and obtaining the sample concentration according to the calibration curve and the driving current in the measurement result. According to the scheme, the dynamic range and the low-concentration precision are remarkably improved, LED aging and temperature excursion are inhibited, the circuit is simplified, and multiple groups of current-limiting resistors and multi-gear change-over switches are not needed.

The invention discloses a constant-tension self-compensation coating method and an intelligent deviation adjusting method, and belongs to the technical field of material dynamic characteristic on-line testing and cooperative control, and the constant-tension self-compensation coating method comprises the following steps: obtaining stress distribution data of the surface of a coating base material, generating a multi-mode optical data set, analyzing a real-time tension estimated value and material dynamic characteristic parameters, and obtaining a multi-mode optical data set; wherein the dynamic characteristic parameters of the material comprise an equivalent elastic modulus and a surface friction coefficient; generating a dynamic coupling coefficient based on the real-time tension estimation value and the dynamic characteristic parameters of the material, performing analysis and calculation, and outputting a tension compensation control quantity and a deviation adjustment control quantity; and the tension compensation control quantity is executed to adjust the unwinding or winding torque, and meanwhile, the deviation adjusting control quantity is executed to adjust the angle of a deviation correcting guide roller. According to the method, the dynamic characteristics of the material are analyzed in real time by adopting multi-mode optical perception, and the tension deviation coupling model is constructed, so that interference advanced cooperative inhibition and working condition self-adaptive stable coating can be realized.

The invention discloses an intelligent optical sensing system based on multispectral fusion, and relates to the technical field of optical sensing, and the system comprises a multispectral image collection module which is used for synchronously collecting original image data of a target scene under three spectral channels of visible light, near-infrared and short-wave infrared; the space-time registration and preprocessing module is used for carrying out high-precision space-time registration and radiation correction on the images of different spectrum channels; the self-adaptive feature extraction and fusion module is used for extracting multi-scale spectral features from the registered multi-spectral image and dynamically selecting and weighting a fusion strategy according to scene content; and the lightweight decision network module outputs a final target identification and state discrimination result. According to the technical scheme, the time-space consistency of multispectral data acquisition can be realized, the cross-band registration precision is improved, the robustness under the conditions of low contrast, shielding and severe weather is enhanced, meanwhile, the calculation complexity and memory occupation are greatly reduced, and the method is suitable for edge calculation equipment with limited resources.

The invention belongs to the field of optical sensing technology and food component analysis, and discloses a tea polyphenol detection method and a tea polyphenol detection device based on an infrared evanescent wave absorption spectrum. Comprising the following steps that a conical infrared optical fiber sensor is provided, the conical infrared optical fiber sensor is obtained by drawing an optical fiber with the diameter of 150-1000 microns to obtain a conical infrared optical fiber, and then the end faces of the two ends of the conical infrared optical fiber sensor are polished till the end faces of the optical fiber are free of scratches, so that the two end faces of the optical fiber are flat, smooth and bright and form mirror faces; the conical infrared optical fiber sensor is packaged in the sample pool, the upper end of the sample pool is open, and a to-be-detected sample solution is injected and fully coats the optical fiber; an 850-4000 cm <-1 > infrared light source is provided, focused infrared light enters the optical fiber and is fully coupled with the optical fiber, an infrared evanescent wave absorption spectrum is collected, and qualitative and quantitative analysis is carried out on the tea polyphenol content based on the tea polyphenol characteristic peak intensity. The method for detecting the tea polyphenol has the characteristics of rapidness, high sensitivity and low detection limit.

An artificial reef structure including thin tensile members as part of the structure. These tensile members readily accumulate marine life to create a more organic structure. The reef structure can accommodate a wide variety of ocean sensing and communication systems. Embedded lighting and electronic elements can be used to attract and monitor marine life.

The invention provides a micro-lens array multi-point alignment focusing method, a storage medium and electronic equipment, and relates to the technical field of lens array detection. According to the algorithm, three unit lens point positions which are far away from each other on an actual array lens sample piece are selected as reference input points, after reference coordinates and actual coordinates are obtained, a vector length scaling coefficient, xy-direction offset and a rotation angle are calculated in sequence, then a conversion matrix is obtained through plane fitting, and the conversion matrix is calculated. And finally, accurate alignment and focusing of any reference point and an actual product point in the xyz three directions are realized. The method does not need to consider the rotation direction and the deviation angle of sample placement, is high in adjacent point test positioning and movement completion speed, has the characteristics of high precision, simplicity in implementation, low cost and the like, and effectively solves the problems of low lens positioning and focusing efficiency, insufficient precision, complex calculation and the like of a traditional micro lens array unit. The micro-lens array is suitable for various application scenes depending on the micro-lens array, such as optical sensing, 3D imaging and the like.

A thermal measurement system enables high-resolution sub-surface temperature monitoring during additive manufacturing processes through machine learning demodulation of chirped fiber Bragg grating (C-FBG) sensors. An optical sensing subsystem includes a C-FBG sensor that encodes spatial temperature information in wavelength for high-temperature operation. A neural network model transforms complex reflection spectra into spatial temperature profiles with micrometer-scale resolution, overcoming limitations of traditional demodulation methods. A calibration subsystem generates synchronized spectral and thermal imaging data for training the neural network using controlled thermal profiles. The system captures steep thermal gradients and rapid cooling rates during laser powder bed fusion operations. A fiber embedding technique maintains the sensor in a strain-free condition at controlled sub-surface depths. The integration of high-temperature C-FBG sensors with machine learning signal processing achieves significant improvement in spatial resolution compared to traditional fiber optic thermal measurement approaches.

A system provided includes an RGB image sensor; a near infrared (NIR) image sensor, an NIR pulse laser, and a processor performing steps of capturing one or more RGB images of a field of view (FOV) and multiple NIR images from a plurality of NIR exposures of reflections of NIR pulses from the same FOV. The system further provides generating a multi-mode image, wherein each pixel of the multi-mode image has a set of values derived from corresponding pixels in multiple images, where the multiple images include at least one of the one or more RGB images, at least one of the multiple NIR non pulse images, and an NIR pulse-only image, a retro-reflector image, a distance image, and a velocity image.

The invention relates to the technical field of crossing of biomedical engineering, molecular diagnosis and nano-optical sensing, and particularly discloses a virus nucleic acid variation amplification-free LSPR (Local Surface Plasmon Resonance) detection method and chip based on a gold nano-structure. The virus nucleic acid variation amplification-free LSPR detection chip based on the gold nanostructure comprises a sample injection port, a reaction area, a washing area, a detection area and a waste liquid area, the sample injection port is used for injecting a viral nucleic acid or protein sample, a plurality of groups of probe sequences are fixed in different reaction regions of the chip, non-amplification rapid detection of viral nucleic acid variation is realized, high sensitivity and specificity are ensured, and by utilizing the unique advantages of an MSNs template branched gold nanostructure, the detection sensitivity is improved. Refractive index change caused by single base mutation is directly amplified, the capability of completing femtomole-level detection within 30 minutes is achieved, the overall detection speed is increased, rapid typing detection of viral nucleic acid variation is achieved through LSPR spectral signals under the non-amplification condition, and a portable platform is formed by integrating the LSPR spectral signals and a micro-fluidic chip.

There is described a method of adjusting a focusing distance of an optical sensing system (OS) with respect to a surface (S) to be imaged by an optical sensor (C) of the optical sensing system (OS). The method comprises setting (420) an initial focusing distance of the optical sensing system (OS). The method further comprises acquiring (430) an image of the surface (S) using the optical sensor (C), processing (470) the image acquired by the optical sensor (C) to extract a distance-related metric therefrom and derive an estimate of the distance separating the optical sensor (C) from the surface (S) based on the distance-related metric, and adjusting (420) the focusing distance of the optical sensing system (OS) based on the thus derived estimate of the distance. Processing (470) the acquired image further includes processing of positional measurements (460) provided by positional sensors (PS), which positional measurements (460) are indicative of a pose or change of pose of the optical sensor (C) with respect to the surface (S). Processing (470) may especially include sensor fusion to provide a fast output indicative of the pose of the optical sensor (C) and thus of the focusing distance.

The invention provides an unmanned aerial vehicle dynamic path planning method and system for a strong electromagnetic interference environment, and relates to the field of unmanned aerial vehicle navigation and interference resistance. The method mainly solves the problem of robust positioning of an optical sensing system in a strong electromagnetic environment. The core of the method lies in a spectrum anti-noise technology of a visual SLAM module, and spectrum separation of visible light and near-infrared band electromagnetic noise is realized through electromagnetic shielding packaging and an adaptive imaging algorithm of a multispectral camera. According to the method, a time-frequency double-domain filtering algorithm is adopted, the phenomena of light intensity abrupt change and frequency spectrum aliasing generated by electromagnetic pulses are eliminated in the feature extraction stage, and the electromagnetic interference mismatching rate of ORB feature points is reduced to 2% or below. The optimized feature point cloud keeps electromagnetic immune characteristics in the dynamic updating process, centimeter-level positioning precision can be achieved in the field intensity environment of 30 dBm or above, and meanwhile real-time detection of dynamic obstacles is achieved through an optical flow acceleration constraint mechanism.

Methods, systems, and devices for operating a wearable device are described. A wearable device may include an optoelectronic-transmitter configured to output an optical signal with a narrow angular spread. The optoelectronic-transmitter may be at least partially covered with a material protrusion that has at least one dimension based on the angular spread. The wearable device may include an aperture within an inner surface of a housing of the wearable device. The aperture may be configured to enable propagation of the optical signal through the housing, and a width of the aperture may be based on the angular spread such that the aperture permits propagation of the optical signal within the angular spread. An optoelectronic-detector configured to receive the optical signal may be disposed at a distance from the optoelectronic-transmitter that is based on the angular spread.

Techniques for using optical sensing by wireless network nodes to assist with positioning of user equipment (UE) are provided. In some embodiments, such techniques may include sending first configuration information to the UE, the first configuration information indicative of how optical sensory data is to be obtained with the UE; receiving the optical sensory data from the UE; and based at least on the optical sensory data received from the UE, determining angular information regarding wireless transmissions between at least one wireless network node and the UE.

A method for non-contact modal analysis uses an optical sensing device such as a video camera. Unlike traditional modal analysis, requiring accelerometers or force sensors to measure the modal characteristics of a structure and animate the motion of a wireframe model of the test structure, the inventive system mathematically modifies the original video recordings by filtering, amplifying, and modifying the playback rate or applying modal shape mask or vectors to produce modified video to show motion at each modal frequency. This provides animated mode shapes with higher spatial and temporal resolution that possible with the traditional approach of using wireframe model animations.

The invention relates to the field of optical fiber sensing, in particular to a two-way communication method for optical sensing communication, which comprises the following steps: after a base station and a terminal complete handshake connection, the base station sends a preset acquisition control instruction to the terminal in a downlink manner; after receiving the acquisition control instruction, the terminal acquires a sensing electric signal; the terminal encodes the sensing electric signal to obtain terminal encoding data; the terminal performs frequency and amplitude combined modulation on the terminal coded data to obtain modulation data; the terminal vibrates the optical fiber according to the modulation data in a terminal preset mode so as to transmit the modulation data to the base station based on the optical fiber; and after the base station acquires the modulation data, the base station performs frequency and amplitude combined demodulation on the modulation data to obtain demodulation data, and decodes the demodulation data to obtain a sensing electric signal containing external sensing information. According to the method, the communication efficiency in optical sensing communication can be improved, the communication distance can be prolonged, and a stable and reliable two-way communication mechanism between the terminal and the base station can be established.

The present invention relates to a method for optical sensing. The method comprises the steps of projecting a light beam (5) onto a scene (4), thereby creating a light spot (8, 9, 10) on said scene, and scanning said light beam (5) on said scene (4) along a trajectory. The method further comprises the step of imaging at least two different parts of said scene (6) simultaneously onto sensing units (3) of a first optical sensor (2), such that each sensing unit (3) of said optical sensor (2) corresponds to at least two different points or areas (8, 8', 8'') on said scene (6), wherein each point or area (8, 8', 8'') of said at least two different points or areas (8, 8', 8'') corresponds to a different part (11,12, 13) of said at least two different parts (11, 12, 13). The method further comprises the step of determining the location of the light spot (8, 9, 10) on the scene (6), among said at least two different points or areas (8, 8', 8''), based on the instantaneous projection vector direction of the light beam (5) on the scene (6).

The invention provides a multi-channel detection system and method based on quantum weak measurement, which can be applied to the technical field of optical sensing and detection systems. The system comprises: a pre-selection module performing pre-selection on an initial pulsed light sequence to obtain a pulsed light sequence; the circulator sends any pulse light in the pulse light sequence to the N detection modules, and sends modulated light returned by the N detection modules respectively to the post-selection and data processing module; n detection modules equally divide any pulse light into N sub-pulse light, and weak coupling is carried out on the N sub-pulse light and to-be-detected signals at different spatial positions to obtain N modulated light; and the post-selection and data processing module performs post-selection and phase calculation on each modulated light, and obtains the size of the signal to be measured at the spatial position corresponding to the modulated light according to the calculated phase. The system realizes multi-channel high-precision weak measurement, and is low in system hardware complexity and low in cost.

The invention relates to the technical field of optical sensing, in particular to a metasurface waveguide array based on a silicon carbide substrate and a spectrum sensing system. The system comprises a coupling modulation module, a waveguide transmission module and a spectral analysis module, the coupling modulation module realizes multi-physical field coupling modulation through a nonlinear coupling superposition principle of a thermo-optical effect and an electro-optical effect; the waveguide transmission module selectively activates waveguide channel combination based on a neural network prediction model and dynamically optimizes transmission parameters through an online reinforcement learning algorithm; the spectral analysis module performs environment compensation correction on the spectral characteristic parameters and outputs a corrected recognition result; according to the invention, multi-physics field coupling modulation, intelligent waveguide channel selection and environment adaptive compensation technologies are innovatively combined, the problems of insufficient precision and poor adaptability of a traditional spectrum sensing system in a complex environment are solved, and high-precision and adaptive spectrum sensing is realized.

The invention discloses a heap fermentation temperature measurement digital method and device based on infrared sensing and modeling reasoning, which can perform self-adaptation according to the position, number and layout change of fermented grain heaps without fixed installation in a workshop by adopting dynamic identification and mobile temperature measurement strategies. The problems that a traditional temperature measurement means is poor in adaptability and high in layout cost in a flexible production environment are effectively solved, and the universality and deployability of the system are remarkably improved. Moreover, a non-contact optical sensing means is adopted in the whole process, so that the damage to the fermented grain pile structure is avoided, the integrity and stability of the fermentation process are ensured, and the final wine quality is favorably improved.

The invention discloses an on-chip fully-integrated optical circulator based on phase modulation. The on-chip fully-integrated optical circulator comprises a substrate, a buried oxide layer, an optical waveguide layer, an upper cladding and a metal layer used for manufacturing metal electrodes, the substrate, the buried oxide layer, the optical waveguide layer, the upper cladding and the metal layer are stacked, the optical waveguide layer comprises two input / output optical waveguide groups, a four-port resonant cavity and two metal electrode pairs, and the metal layer comprises four modulation areas; four ports of the resonant cavity are respectively connected with four interfaces of the modulation area, each input / output optical waveguide group is connected by a bent optical waveguide and coupled to the resonant cavity, the middle of the metal electrode pair is bent to form a coplanar waveguide electrode, and the middle of each two ends of the modulation area is connected by the coplanar waveguide electrode. The fully-integrated optical circulator is realized under the silicon-based substrate for the first time, is compatible with current mainstream optical integration platforms such as SOI, LNOI and LTOI, and can be widely applied to large-scale photonic integrated chips, such as the fields of optical communication, optical sensing, on-chip optical interconnection and the like.

The invention provides an intelligent optical sensing system and method for imaging through an underwater turbid environment, and belongs to the field of underwater optical imaging. The problem of low underwater object recognition efficiency caused by difficulty in obtaining clear images in turbid water by existing equipment is solved; the system comprises an optical imaging module, an image acquisition module and computing equipment which are carried on diving equipment, computer programs of an image preprocessing module, a depth sensing module and a neural network denoising recognition module run on the computing equipment, and the optical imaging module generates a structured light field carrying an orbital angular momentum mode based on a spiral phase plate; the image acquisition module is used for acquiring reflection information of the target object irradiated by the vortex light; the image preprocessing module is used for enhancing the acquired image; the depth sensing module obtains the current water pressure through a pressure sensor, and the current water depth is inversely solved through the computing device; the neural network denoising recognition module carries out real-time recognition and denoising on the image; the method is applied to turbid underwater imaging.