1116 results about "Optical sensing" patented technology

The invention provides an industrial park soil and groundwater pollution early warning grade evaluation method and system.The method comprises the steps that production raw material components of pollution source enterprises, waste discharge data and soil heavy metal concentration evolution data in historical pollution events are integrated, optical sensing data of earth surface and underground monitoring points are combined, and the early warning grade of soil and groundwater pollution is evaluated; constructing a dynamic characteristic factor library reflecting pollution source characteristics; carrying out spatial concentration gradient calculation on the optical sensing data based on the characteristic factor library, and generating a dynamic heat map containing heavy metal distribution and migration trends at the same time; performing cross-modal analysis on the pollution source characteristics and the dynamic heat map, and establishing a spatio-temporal evolution trajectory of a pollution diffusion path; according to the diffusion rate and direction in the track, differentiated pollution risk early warning intervals are divided, and a targeted grading prevention and control strategy is generated. According to the invention, the timeliness of pollution early warning and the targeting of prevention and control measures are improved.

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 belongs to the technical field of pavement construction detection, and provides a municipal road asphalt concrete pavement construction detection method, which comprises the following steps: S1, installing a plurality of optical sensing devices, and collecting pavement images and spectral data in real time; s2, carrying out fusion processing on the collected data; s3, processing the three-dimensional data to generate a three-dimensional model of the road surface; s4, analyzing the image data, automatically identifying pavement defects and evaluating the severity of the pavement defects; s5, performing spectral analysis and fusing data to assist in judging the quality and uniformity of the material; s6, comparing a detection result with a design standard, and generating a construction quality evaluation report; according to the invention, construction detection is carried out by comprehensively applying an optical sensing technology and a data processing algorithm, the efficiency and quality of construction monitoring are improved, the maintenance cost is reduced, and the safety and durability of a road are guaranteed.

An electronic watch may include a housing and a crown configured to receive a rotational input. The crown may include a knob external to the housing, a rotor coupled to the knob and configured to rotate in response to the rotational input, the rotor defining a recess extending about a circumference of the rotor, and a coating positioned in the recess and configured to reflect at least a portion of light incident on the coating. The electronic watch may further include an optical sensing system configured to detect the rotational input using the reflected portion of the light.

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 relates to an optical probe, in particular to a plasma optical sensing probe for online trace detection of biological threat factors. The sensing probe is composed of a microstructure optical fiber and a nano gold wire; the optical fiber is provided with two micro grooves which are symmetrically distributed, and the gold nanowires are located at the bottoms of the grooves; four inner-layer large air holes and two outer-layer small air holes are formed in the cladding of the optical fiber, and every two of the four inner-layer large air holes form a group and are symmetrically distributed relative to the groove; and the two outer-layer small air holes are symmetrically distributed relative to the micro groove. The radius of the optical fiber is 16 microns; the depth of the micro groove is 8 microns; the radius of the nano gold wire is 500 nm; the radius of each inner-layer large air hole is 4 microns, and among the four inner-layer large air holes, the horizontal circle center distance of the inner-layer large air holes is 13 microns, and the vertical circle center distance of the inner-layer large air holes is 11 microns; and the radius of the small air holes in the outer layer is 1.5 microns. According to the probe, efficient and accurate biomolecule detection is realized, and reliable technical support is provided for early diagnosis and timely treatment.

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 seawater quality detection, and discloses a seawater quality monitoring method based on automatic multi-source data assimilation, which comprises the following steps: acquiring a satellite remote sensing image of a seawater monitoring area, and carrying out eutrophic hierarchical division on the seawater monitoring area to obtain an eutrophic divided ocean area; optical sensing data of the seawater monitoring area are collected, and the suspended particulate matter concentration of the seawater monitoring area is determined; collecting temperature sensing data of the seawater monitoring area, and analyzing the water quality change level of the seawater monitoring area; collecting salinity data and dissolved oxygen data of the seawater monitoring area, and analyzing the ecological structure change degree of the seawater monitoring area; and based on the eutrophication divided ocean area, the suspended particulate matter concentration, the water quality change level and the ecological structure change degree, constructing an ocean multi-attribute comprehensive graph, and giving an early warning to the corresponding monitoring user of the seawater monitoring area. According to the invention, the comprehensiveness of seawater quality detection can be improved.

Methods and systems for anomaly detection include measuring time-series data about a system using an optical sensing system. The time-series data is adapted to natural language data. One or more anomaly detection models are selected based on the natural language data and a task. An anomaly is detected in the system using the selected one or more anomaly detection models. A corrective action is performed responsive to the anomaly.

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.

Optical sensing apparatus includes a transmitter, which is configured to transmit outgoing frequency-modulated (FM) coherent optical radiation toward a target scene. A receiver includes an array of single-photon detectors, which are configured to output electrical pulses in response to photons that are incident on the detectors. Optics image the target scene onto the array while diverting a part of the outgoing FM coherent optical radiation to form a local beam, which mixes with incoming optical radiation from the target scene. Processing circuitry is configured to compute counts of the electrical pulses output as a function of time by the single-photon detectors in response to the mixed optical radiation, to extract beat frequencies from the computed counts, and to measure ranges of points in the target scene responsively to the beat frequencies.

The invention provides a chemical mechanical polishing film thickness real-time control method, device and equipment, and relates to the technical field of chemical mechanical polishing equipment. According to the invention, the optical sensing module is arranged in the vertical hole of the polishing disk, so that the reflected light intensity of the wafer can be monitored in real time in the CMP process. By adopting the optical sensing module, the corresponding relationship between the film thickness of samples with different thicknesses and the reflected light intensity is obtained. Therefore, the real-time film thickness can be determined in the CMP process according to the corresponding relation and the reflected light intensity monitored in real time, and chemical mechanical polishing film thickness real-time control is carried out on the target wafer. Time waste caused by multiple times of shutdown for film thickness detection in a traditional method is avoided, and the chemical mechanical polishing efficiency is improved.

The invention relates to a somatosensory glove and system based on a flexible photoelectric dual-mode sensor. The somatosensory glove based on the flexible photoelectric bimodal sensor comprises a glove body, the flexible photoelectric bimodal sensor and a control circuit, the flexible photoelectric bimodal sensor is arranged on the glove body and can deform along with the hand action of a user so as to collect an original bimodal signal; the control circuit is electrically connected with the flexible photoelectric dual-mode sensor, and is used for preprocessing an original dual-mode signal acquired by the flexible photoelectric dual-mode sensor to obtain a preprocessed dual-mode signal, and then transmitting the preprocessed dual-mode signal to computing equipment. According to the flexible photoelectric bimodal sensor, bimodal signals caused by hand actions can be respectively collected from two angles through the optical sensing layer and the electric sensing layer, so that richer and more comprehensive action detail information is captured, and the accuracy and sensitivity of action capture are improved.

The invention provides an intelligent marine emergency equipment automatic positioning method and system. Wherein multiple distress signals are received and fused, and optimal geographical location information and timestamps are generated; determining a distress area on a preset sea area electronic map, correcting a distress position, evaluating probability distribution of each potential distress area, and generating a primary search target with the highest probability; a thermal imaging and optical sensing system on the rescue unmanned aerial vehicle is started for scanning, and a high-accuracy potential survivor position is generated; the search and rescue path is dynamically adjusted and optimized, the search strategy is adjusted, the optimal flight path is updated in real time, and an economical and efficient search and rescue path plan is generated; and timely feeding back the accurate coordinates of the position of the potential survivor to the nearest rescue coordination center, and guiding first-aid equipment to go along the optimal path to implement rescue. According to the technical scheme provided by the invention, the search and rescue efficiency and accuracy are improved, and the position of a potential survivor can be quickly and accurately positioned.

The invention relates to the field of solid analysis, in particular to a diamond polishing and grinding online detection system which comprises the following steps: firstly, synchronously acquiring optical sensing data and thermal sensing data of the surface of a to-be-detected diamond; then, processing the acquired sensing data to detect and identify various physical characteristics of the surface, including a surface defect state, thermally induced anomaly distribution and self-calibrated surface roughness, and tracking an evolution trend of related characteristics, so as to generate a preliminary multi-dimensional characteristic analysis result; and finally, generating a comprehensive diamond defect surface physical property online evaluation report by integrating various analysis results. The method mainly solves the problems that the multi-dimensional physical characteristics of the surface of the diamond are difficult to evaluate in real time, accurately and comprehensively and the change of the surface state is difficult to respond quickly by a traditional detection means, and aims at comprehensively evaluating the surface quality of the diamond through automatic online analysis and providing a basis for guaranteeing the quality of a final product and optimizing a grinding process.

The invention belongs to the field of particulate matter optical sensing, and particularly relates to a particulate matter light scattering signal acquisition method and device, and the method comprises the steps: controlling scattered light with different scattering angles generated by particulate matter to be detected to reach a digital micromirror device DMD; enabling scattered light of different scattering angle combinations to reach a photoelectric detector by utilizing an on state and an off state of each micromirror in the DMD so as to realize multiple acquisition of scattered light signal intensity by the photoelectric detector and obtain a measurement signal vector S; wherein when a single micro-mirror is turned on, scattered light reaching the micro-mirror is focused on the photoelectric detector through the micro-mirror according to a preset light path, and when the single micro-mirror is turned off, the scattered light reaching the micro-mirror is diffused to an area outside the photoelectric detector; 1 norm minimization is carried out on X = (phi psi)-1S, and X and a sparse domain psi are determined; and performing inversion according to P = psi X to obtain the scattered light intensity P of different scattering angles generated by the particulate matter to be measured. According to the invention, the collection efficiency of scattered light intensity spatial distribution can be improved.

The invention relates to the technical field of intelligent traffic, in particular to an intelligent vehicle lamp system and a control method thereof.Optical sensing equipment is used for collecting environment information around a vehicle, a pre-projection image is determined according to the environment information, optimal projection parameters are calculated according to the reflectivity and flatness of a projection plane, and the parameters are sent to a light module; projecting according to the calculated focal length and angle parameters; and adaptively adjusting the frequency of detecting the environment information by the optical sensing equipment by using a cyclic decision detection algorithm to realize adaptive control on different roads, weather and vehicle states. According to the method, the light brightness can be automatically adjusted, unreasonable projection areas can be avoided, safety prompt projection is carried out according to road conditions, the accuracy and safety of vehicle illumination are improved, and the risk of traffic accidents is reduced.

The invention discloses a sensing integrated optical sensor and a preparation method thereof, and relates to the technical field of on-chip optical sensing. The device comprises a silicon substrate, an oxidation buried layer is deposited on the top of the silicon substrate, a first rectangular waveguide is installed above the oxidation buried layer, one end of the first rectangular waveguide is flush with the oxidation buried layer, a second rectangular waveguide is installed at the other end of the first rectangular waveguide, and a reverse tapering part is arranged at the end, facing the center of the oxidation buried layer, of the first rectangular waveguide. A forward tapering part is arranged at the end, away from the center of the oxidation buried layer, of the second rectangular waveguide. The hybrid integration of the metal plasma resonant cavity is realized based on on-chip optical interconnection, the quasi-continuous spectrum bound state is excited by strong coupling between resonance modes, the quality factor is greatly improved while high-sensitivity on-chip optical sensing is realized, the optical transmission loss is relatively low, and the application range is wide. The method has a practical application effect on the construction of a novel on-chip optical sensing system.

The utility model discloses a machine tool guide rail straightness optical fiber detection device, which belongs to the technical field of optical sensing detection, and comprises a bottom plate, the top of the bottom plate is fixedly connected with two linear guide rails, and a servo motor is arranged at the top of the bottom plate close to the linear guide rails. The output end of the servo motor is fixedly connected with a lead screw, the outer wall of the lead screw is slidably connected with a sliding block, the front end and the rear end of the sliding block are each fixedly connected with two telescopic rods, and an adjusting detection mechanism is arranged between every two telescopic rods. Due to the fact that the adjusting and detecting mechanism is assembled and attached to the outer wall of the target linear guide rail, when the adjusting and detecting mechanism moves on the target linear guide rail and fine deviation of the target linear guide rail occurs, the fine deviation can be detected, and the detection accuracy can be effectively improved through the adjusting and detecting mechanism.

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 relates to a topological photonic crystal-based optical filter design method, equipment and medium, and the method comprises the steps: constructing a periodically arranged photonic crystal flat plate, and enabling a super unit to be composed of a topological non-trivial unit and a topological trivial unit, and the topological characteristic and the arrangement mode of the topological non-trivial unit are determined by calculating the two-dimensional bundling phase so as to form a topological defect state. And then, by adjusting the width of the air micropores and the defect spacing, the flatness and the coupling strength of a defect state energy band are optimized, and the stability of the resonant wavelength is ensured. Full-wave electromagnetic simulation is adopted to test transmission spectrums under different incident angles, the angle insensitivity characteristic of resonant wavelength is verified, and key structure parameters are iteratively optimized. Finally, an optical filter with efficient filtering, low energy consumption, high integration level and anti-interference capability is output, and the optical filter is widely applied to the fields of optical communication, optical sensing, high-precision spectral analysis and the like.

The invention discloses a light-sensing external trigger signal output device for laser far-field parameter analysis, comprising: a light signal detector, used for collecting laser signals irradiated on a target plate and outputting a pulse current signal; a signal primary amplification module, used for converting the pulse current signal into a pulse voltage signal and amplifying the pulse voltage signal; a signal superposition amplification module, used for amplifying the pulse voltage amplification signal output by the signal primary amplification module again; a laser pulse signal judgment module, comprising a comparator, used for setting a signal judgment threshold value, the comparator being connected to a monostable trigger, and the monostable trigger sending a trigger signal when the pulse signal is greater than the signal judgment threshold value set by the comparator; an MCU main control module, used for interrupt processing, trigger signal delay and output frequency setting, trigger signal output and transmitting a timing control signal to an imaging camera; a power management module, connected to an external power supply and supplying power to the remaining modules.

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 provides a creatinine sensor based on an asymmetric Mach-Zehnder structure, and belongs to the technical field of biological optical sensing. The sensor comprises a PDMS lower cladding, a PMMA core layer and a PDMS upper cladding, the PMMA core layer comprises an input waveguide, a beam splitter, a modulation arm waveguide, a beam combiner and an output waveguide, and the modulation arm waveguide comprises a sensing arm and a reference arm which are unequal in width. The sensing arm adopts a suspended design and is windowed, and a creatininase mixed solution is fixed on the surface of the sensing arm so as to increase the response to the creatinine concentration. Through optimal design of the width of the reference arm, the sensitivity of the reference arm is reduced, and the phase change of an interference signal is mainly caused by the sensing arm, so that the sensing sensitivity is improved. The sensor can detect the creatinine concentration within the range of 0-110 [mu] moL / L, covers the physiological concentration range of creatinine in human blood, has the characteristics of high sensitivity and compact structure, and is suitable for wearable health detection application.

The invention discloses an optical fiber sensing phase demodulation method and system, and belongs to the technical field of optical sensing. According to the invention, line width lt is adopted; a 1MHz laser is used as a light source, a low-frequency or high-frequency current modulation signal introduced at the light source is eliminated by introducing a reference interferometer and combining a cross subtraction algorithm and arc tangent operation, the requirement for the line width of the light source is reduced, and the cost and complexity of the system are remarkably reduced; a large-amplitude phase excitation signal is introduced through a low-frequency or high-frequency current modulation signal, ellipse closing is forced, the limitation that the signal amplitude is larger than or equal to pi / 2 in a traditional ellipse fitting method is avoided, the problem of parameter mismatch is solved, meanwhile, introduction of a modulator or a frequency shifter is avoided, and the size and power consumption of the system are further reduced. A reference interferometer with a symmetrical structure is introduced, a light source modulation signal and frequency jitter noise are eliminated in combination with a cross subtraction algorithm, and the demodulation precision and stability are improved.