2316results about "Transmissivity measurements" patented technology

The invention discloses an online monitoring method and system for the light transmittance of an optical lens, and relates to the technical field of precise optical detection. The objective of the invention is to solve the problem of large light transmittance calculation error caused by halo scattering noise interference, low optical path calibration precision of a complex curved lens, a measurement blind area of a large-aperture lens and environmental disturbance of a high-reflection / high-light-transmittance lens in the prior art. According to the scheme, a three-dimensional curved surface model is constructed based on Gray code structured light projection and ICP registration, a dynamic partition scanning instruction set is generated through an improved genetic algorithm, and multi-wavelength polarized light is driven to scan and collect multi-dimensional data; specular reflection and scattering noise are suppressed by combining an improved Stokes vector algorithm and an attention mechanism U-Net network, and the data precision of the complex curved surface is improved by adopting Bayesian optimization and Zernike polynomial weighted fusion; constructing a double-loop coupling optimization architecture to realize closed-loop adaptive optimization; according to the invention, the anti-interference capability, the complex lens adaptability and the full-aperture detection precision are obviously improved.

The invention belongs to the technical field of water quality monitoring, and particularly relates to a construction method and device of a turbidity testing system based on a photoelectric detector. Optical signal data and multi-wavelength optical signal data are obtained; performing intelligent switching and spectrum matching according to the signal data, determining a target wavelength, and obtaining characteristic parameters related to turbidity by combining a scattering and transmission combined measurement principle; measuring different standard solutions according to the characteristic parameters to obtain corresponding characteristic parameters, constructing a turbidity characteristic parameter data set, and establishing a characteristic ratio turbidity calibration model according to the data set; measuring and calculating the turbidity according to the characteristic ratio turbidity calibration model in combination with a dynamic temperature compensation algorithm, and meanwhile, performing temperature compensation; and transmitting the parameter information to a cloud database for storage, performing hierarchical processing, performing regular intelligent self-inspection at the same time, and feeding back abnormal data when an abnormality occurs. Therefore, the problems of insufficient range coverage, weak automatic calibration capability, susceptibility to temperature drift and the like in the prior art are solved.

The invention discloses a solar silicon wafer visual detection method, and particularly relates to the technical field of silicon wafer detection. The method comprises the following steps: acquiring optical images of different incident angles, synchronously acquiring infrared transmission images, performing normalization processing, edge enhancement filtering and self-adaptive threshold segmentation on the acquired multi-angle images, extracting suspected crack areas, and respectively calculating a gray gradient change rate and a stress abnormal degree, so as to obtain a suspected crack area; calculating a crack credibility score according to the gray gradient change rate and the stress abnormal degree through a weighted scoring method, and comparing the crack credibility score with a preset crack detection threshold value to distinguish real hidden cracks and stress pseudo defects; if the credibility score is lower than the threshold value, secondary sampling is carried out by adjusting the illumination angle, and the judgment result is further optimized; according to the method, the false rejection rate caused by lattice stress pseudo defect misjudgment is effectively reduced, meanwhile, missing detection of real subfissures is avoided, and the accuracy, stability and production yield of silicon wafer defect detection are improved, so that the long-term reliability of a photovoltaic module is enhanced.

The invention relates to the technical field of intelligent detection, and discloses a water pollutant concentration intelligent detection system and a detection method thereof, and the water pollutant concentration intelligent detection method comprises the following steps: obtaining optical data, chemical data, electrical data, environmental data and biological data; performing normalization and standardization processing on the obtained data through edge calculation; performing feature extraction on the acquired data; splicing the features to obtain a fused feature; the fusion features are input into a multi-layer perceptron for water pollutant concentration prediction; the diffusion conditions of pollutants at different time points in the future are predicted through a fluid mechanics formula; inputting the fusion features into a decision tree model, and judging the instant influence of the water pollutants on the cultured organisms; the breeding environment parameters are adjusted through instant influence. According to the method, through edge calculation, behaviors of aquatic organisms are combined, and the diffusion trend of water pollutants is predicted, so that more accurate water quality monitoring is realized.

The invention discloses a multi-mode end point detection system and method for a semiconductor dry process, and relates to the field of gas concentration detection. A gas absorption cell; the reference light path adjusting unit comprises an adjustable attenuator used for adjusting signals; the first photoelectric detector is used for detecting a transmission signal; the second photoelectric detector is used for detecting a reference signal; the lateral scattered light detector is used for detecting a scattered signal of the particulate matters in the gas absorption tank; and the signal processing unit is in signal connection with the first photoelectric detector, the second photoelectric detector and the lateral scattering light detector and is used for performing compensation calculation on the transmission signal based on the reference signal and the scattering signal so as to obtain a corrected gas absorption signal. By adopting the scheme, measurement signal distortion caused by optical mirror surface pollution and particulate matter scattering interference in a semiconductor tail gas optical detection technology is avoided.

The invention belongs to the technical field of detection, and discloses a gas concentration infrared sensor and a detection method thereof.The detection method comprises the steps that transmittance data of two channels of the infrared sensor are collected in real time, and meanwhile sensor surface temperature and environment humidity parameters are obtained to form a multi-parameter synchronous collection data set; establishing a humidity compensation function based on the collected environment humidity parameters, dynamically correcting the transmittance of the main detection channel, judging the condensation risk according to the transmittance change rate of the reference channel, calculating the transmittance change rate of the main detection channel, extracting the humidity interference characteristic quantity of the reference channel, and generating fusion characteristic parameters; performing gas existence judgment, and triggering a gas existence flag bit; according to a gas existence flag bit state, adopting a temperature self-adaptive response value calculation method and combining environment compensation parameters to carry out concentration conversion, and outputting a gas concentration value; and through a multi-parameter synchronous acquisition and environment compensation mechanism, the problem of environment interference in a high-temperature and high-humidity environment is effectively solved, and the measurement accuracy is improved.

The invention relates to the technical field of optical detection, in particular to a glass bottle surface spraying quality detection method which comprises the following steps: under a specified wavelength, acquiring target incident light by adjusting a polarization angle, irradiating a glass bottle spraying layer, collecting a transmission spectrum signal to calculate parallel and vertical polarization transmissivity and ratio of the spraying layer, and generating polarization transmissivity. According to the method, the light with the polarization angle irradiates the spraying layer, the polarization component of the transmission light is obtained, the thickness uniformity and the internal structure are analyzed, weak areas, particle flaws and excessive spraying of the spraying layer are recognized, the defect detection precision is improved, multi-angle transmissivity data are collected, the change rate is calculated, and color deviation and thickness abnormity are accurately positioned; through cross analysis of multiple optical parameters, evaluation of adhesive force, curing quality and color consistency is more detailed, spraying abnormity is classified, multiple detection means act synergistically, interference such as environment illumination and material reflectivity is reduced, and the detection accuracy of spraying quality is improved.

The invention discloses a waveguide array gas sensing system for high-sensitivity multi-gas detection. The waveguide array gas sensing system comprises a waveguide substrate, and a waveguide Bragg grating, a phase shift Bragg grating, a micro-ring resonator, a Mach-Zehnder interferometer, a waveguide array, an electric field regulation and control module and a signal processing unit which are arranged on the waveguide substrate. Through the waveguide array structure, topological optical protection adsorption and other technologies, the sensitivity and selectivity of methane, carbon dioxide and other gases are effectively improved, and accurate detection can be achieved in a complex environment; according to the invention, a topological optical principle is adopted, signal loss caused by environmental noise or surface defects is reduced, and the stability of the sensor is improved; according to the invention, automatic calibration and temperature and humidity compensation of the system are realized, and autonomy and operation convenience of the system are enhanced; the system has high environment adaptability and can stably work under different temperature and humidity conditions.

Prediction of water quality parameters via monitoring, reporting, and verification sensor-geospatial fusion networks may be provided by a system comprising a plurality of separate water fixtures, wherein each of the plurality of separate water fixtures includes: an optical sensor, and a data transmission system configured to transmit sensor data from each of the plurality of separate water fixtures; and a contamination detection system configured to: receive sensor data from each of the plurality of separate water fixtures and remote sensing data; calculate changepoints within the sensor data; split the data into intervals at the changepoints; classify the intervals using a machine learning model; and identify a predicted contamination of a water source based on the classified intervals using the sensor data from a subset of the plurality of separate water fixtures and the remote sensing data to yield a near-time estimation of water quality parameters.

The invention discloses a liquid medicine foreign matter detection method and system based on machine vision, and the method comprises the steps: obtaining multiband spectral data of a liquid medicine sample, and carrying out the normalization processing to generate a liquid medicine background standard spectral feature template; comparing the refractive index spectral characteristics of the template and the foreign matter-containing liquid medicine, and recording the surface roughness scattering mode and polarized light reflection angle change data of a foreign matter area; calculating a spectrum peak displacement quantized value according to the polarized light data, and extracting foreign matter edge spectrum gradient information in combination with a threshold value; calculating a transparency spectral attenuation coefficient based on the edge gradient information, and obtaining spectral contrast enhancement factors of different foreign matters in combination with the spectral response characteristic data; and if the enhancement factor does not reach the standard, adjusting the spectrum correction parameter and recalculating, fusing the scattering mode and the multi-angle incident spectrum response result to carry out consistency verification, and obtaining a final identification result containing the foreign matter material type and the danger level. The method can improve the drug detection accuracy and guarantee the drug quality safety.

The invention provides a pole piece detection method, a detection device, detection equipment and a storage medium. The pole piece detection method comprises the following steps: acquiring first detection data corresponding to a composite coating on a pole piece irradiated by a first light beam and second detection data corresponding to the composite coating irradiated by a second light beam; based on the first detection data and the second detection data, determining the proportion of a target component in the composite coating; determining the surface density of the composite coating based on the second detection data; determining the surface density of the target component based on the proportion of the target component and the surface density of the composite coating; the correlation coefficient between the absorption coefficient of the first light beam and the atomic number is larger than the correlation coefficient between the absorption coefficient of the second light beam and the atomic number. Based on the mode, the surface density of the target component in the composite coating can be determined.

Modulation-encoded light, using different spectral bin coded light components, can illuminate a stationary or moving (relative) target object or scene. Response signal processing can use information about the respective different time-varying modulation functions, to decode to recover information about a respective response parameter affected by the target object or scene. Electrical or optical modulation encoding can be used. LED-based spectroscopic analysis of a composition of a target (e.g., SpO2, glucose, etc.) can be performed; such can optionally include decoding of encoded optical modulation functions. Baffles or apertures or optics can be used, such as to constrain light provided by particular LEDs. Coded light illumination can be used with a focal plane array light imager receiving response light for inspecting a moving semiconductor or other target. Encoding can use orthogonal functions, such as an RGB illumination sequence, or a sequence of combinations of spectrally contiguous or non-contiguous colors.

The invention discloses a three-dimensional turbidity measurement method and system based on space scanning, and the method comprises the steps: building a three-dimensional xyz coordinate system in a to-be-measured three-dimensional space, respectively scanning and measuring an xoz coordinate plane and a yoz coordinate plane, and obtaining meshed turbidity data; and calculating the turbidity CNTU of the three-dimensional space based on the planar or single-dimensional turbidity data of the xoz coordinate plane and the yoz coordinate plane. According to the method, turbidity data of the xoz coordinate plane and the yoz coordinate plane can be processed through a plane calculation method, and the turbidity of the three-dimensional space reflecting the overall measurement condition can be obtained through quick calculation. On the other hand, the turbidity data of the xoz coordinate plane and the yoz coordinate plane can be processed through a one-dimensional calculation method, the turbidity of the three-dimensional space can be calculated more accurately, the requirement for high precision of turbidity measurement of the three-dimensional space is met, the limitation of single-point measurement is solved, and good practicability is achieved.

The invention discloses a seawater quality AI fusion intelligent monitoring system and method based on full spectrum data, and relates to the technical field of seawater quality monitoring. The system comprises a full-spectrum data acquisition module, a water quality initial evaluation and characteristic wave band identification module, an environment adaptive wave band selection module, a weight dynamic distribution and anomaly detection module, a multi-dimensional data fusion and optimization module and an abnormal event response and report module. The system collects original spectral data through a spectral sensor, establishes a basic water quality model after preprocessing, dynamically selects an effective wave band according to real-time environmental parameters, allocates weights, outputs water quality parameters after fusing data of a multi-dimensional sensor, and finally responds to abnormal events and generates a report. The system realizes intelligent and real-time monitoring of seawater quality, and can effectively deal with sudden pollution events and capture water quality fluctuation.

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 belongs to the field of water body pollution monitoring, and discloses a water body micro-plastic monitoring method and system based on unmanned aerial vehicle optics and Raman spectrum technology, a multi-mode water body micro-plastic sensor based on optical imaging and a hyperspectral Raman laser radar is constructed, and the constructed sensor is used for collecting water body micro-plastic data; establishing a solar flare correction model and an underwater light attenuation compensation model to pre-process the collected water body micro-plastic data; performing water body micro-plastic detection on the preprocessed data by using a multi-mode underwater micro-plastic semantic segmentation model; a spatial and temporal distribution model of micro-plastic pollution in the urban water body is constructed, and migration and accumulation, main sources, future distribution trend and the like of micro-plastics in the water body are comprehensively analyzed. According to the invention, the problems of incapability of large-scale real-time detection, large interference of a water body environment and the like in a traditional water body micro-plastic detection method can be effectively solved, and the capability and efficiency of water body micro-plastic detection by using the unmanned aerial vehicle are greatly improved; reliable data support and technical guarantee are provided for water body pollution monitoring, ecological environment assessment and micro-plastic treatment, and large-scale water body monitoring and environment protection work are promoted to be carried out.

The invention belongs to the technical field of terahertz detection, and discloses a terahertz metamaterial enhanced spectrum detection system. Comprising the following steps: constructing a metamaterial enhancement factor tensor matrix according to the interaction between terahertz waves and a metamaterial; performing local field enhancement and surface plasma resonance optimization on the target sample based on the metamaterial enhancement factor tensor matrix to obtain a feature enhancement spectroscopy mapping function; constructing a multi-dimensional detection feature space based on a feature enhancement spectroscopy mapping function; a spectral signal enhancement topology network is formed based on the multi-dimensional detection feature space; enhancing the topological network based on the spectral signal, and generating an enhanced spectral feature discrimination function; obtaining a high-precision terahertz spectrum detection result based on the enhanced spectrum characteristic discrimination function; according to the invention, internal correlation between spectral characteristics can be mined, and comprehensive description of sample information is enhanced, so that high-precision terahertz spectrum detection is realized.

The invention provides a spatial continuous visibility prediction method and device based on multi-modal data analysis, and the method comprises the steps: obtaining the multi-modal observation data of a target region, carrying out the image feature coding of the image observation data, generating an atmospheric optical thickness parameter, carrying out the path feature coding of the laser radar scanning data, and carrying out the path feature coding of the laser radar scanning data; generating an extinction coefficient distribution parameter; inputting the atmospheric optical thickness parameter and the extinction coefficient distribution parameter into a multi-modal fusion model to perform optical thickness correction on the atmospheric optical thickness parameter in the horizontal direction to generate a horizontal optical thickness correction parameter, and performing spatial continuous fusion on the horizontal optical thickness correction parameter and the extinction coefficient distribution parameter to obtain a multi-modal fusion model; and generating a spatial continuous visibility distribution characteristic of the target area, then converting the spatial continuous visibility distribution characteristic into a visibility prediction result under a polar coordinate system, and outputting a coordinate distribution diagram of the visibility prediction result. According to the invention, the visibility prediction accuracy can be improved.

Methods and apparatus for processing a substrate are provided herein. For example, a gas supply configured for use with a processing chamber includes an ampoule that stores a precursor and comprises an input to receive a carrier gas and an output to provide a mixture of the carrier gas and the precursor to the processing chamber and a sensor assembly comprising a detector and an infrared source operably connected to an outside of an enclosure, through which the mixture flows, and a gas measurement volume disposed within the enclosure and along an inner wall thereof so that a concentration of the precursor in the mixture can be measured by the detector and transmitted to a controller.

The invention discloses a tortoise-shell glue transparency detection method and system based on multispectrum, and the method comprises the steps: S1, obtaining a multispectral image sequence of a tortoise-shell glue sample, carrying out the wave band correction, constructing a multispectral image data cube, and carrying out the spatial registration; s2, generating a spectral angle mapping graph according to the registered multispectral image data cube; s3, extracting a tortoise-shell glue region through spectral angle mapping and a region growing algorithm, and constructing a spectral feature matrix; s4, based on the spectral feature matrix and a cross validation method, obtaining an optimal tortoise-shell glue transparency qualified product identification model, and performing qualification judgment on the transparency of the tortoise-shell glue sample to be detected; and S5, constructing a transparency quality evaluation model, and carrying out quality grade division on the transparency of the tortoise-shell glue. And carrying out quality grading on the transparency of the tortoise-shell glue. According to the method, objective and comprehensive evaluation of the transparency quality of the tortoise-shell glue can be realized by acquiring the image information of the tortoise-shell glue sample in a plurality of spectral bands and combining an intelligent analysis algorithm.

The invention discloses a test device and a test method for filling fracture seepage-erosion visualization. The test device comprises a fracture overflowing model, a fluid flow control system and an image and pressure data acquisition and analysis system. The fracture overflowing model has the appearance of a real rock fracture surface, and the opening degree can be quantitatively adjusted through a filler gauge gasket; the fluid flow control system uses a peristaltic pump and a stirrer to provide constant-flow fluid and particle input for the fracture overflowing model; according to the test device, the light transmission principle is utilized, quantitative and visual observation and research of the seepage-erosion process of the filled fracture are achieved, and form and permeability evolution data of a particle erosion area in the filled fracture are accurately obtained.

The invention relates to the technical field of expressway fog area guiding, and discloses an expressway fog area guiding device which comprises five sets of supporting mechanisms, the five sets of supporting mechanisms are sequentially and fixedly arranged at intervals from left to right, each supporting mechanism comprises a bottom column, a supporting column, a solar panel and a triggering assembly, the top end of each bottom column is fixedly connected with the corresponding supporting column, and the top end of each supporting column is fixedly connected with the corresponding solar panel. The solar panel is fixedly connected to the top end of the supporting column, the triggering assembly is fixedly connected to the bottom end of the solar panel, a guiding mechanism is installed on each supporting mechanism, and a visibility detection mechanism is installed on each supporting mechanism; by arranging the visibility detection mechanism and the guide mechanism, two guide lamps swing and scan back and forth respectively, so that diffuse reflection generated when light encounters heavy fog can be observed by a driver, better reminding and guide effects are further achieved, the safety of driving in a fog area is improved, and when wheels pass through a first trigger assembly, the driving safety is improved, and the driving safety is improved. If so, detecting the visibility of the fog area in real time.

SOLUTION: A gas leakage detector may include a movement control unit for controlling the movement of a mobile body to which a gas sensor is mounted. The gas leakage detector may include an acquisition unit for acquiring a target gas measurement result having been measured by the gas sensor while the mobile body is moving in a target area and a response time from when the gas sensor started measurement to when it outputs the measurement result. The gas leakage detector may include a detection unit for detecting the leakage of the target gas in the target area on the basis of the measurement result and the response time. The detection unit may detect leakage of the target gas in the target area and identify a gas leakage point on the basis of the measurement result and location information of the mobile body.SELECTED DRAWING: Figure 1

The invention relates to the technical field of ocean engineering, in particular to an underwater imaging system for offshore wind power construction, which comprises a turbidity detection unit, a judgment unit, an acquisition unit and a processing unit, the turbidity detection unit is used for detecting and calculating the turbidity R of the water body in the construction area; the judgment unit is used for judging the turbidity condition of the water body in the construction area based on the turbidity R grade and sending different acquisition signals; the acquisition unit comprises an optical subunit, a sonar subunit and a fluorescence subunit; the processing unit is used for carrying out underwater imaging on the optical subunit, the sonar subunit or the fluorescence subunit correspondingly started according to the received different acquisition signals and sending signals. The turbidity of a water body in a construction area is detected, and the turbidity conditions are divided into light turbidity, medium turbidity and heavy turbidity based on the turbidity; different imaging technologies are combined with different turbid conditions, so that the underwater imaging quality in offshore wind power construction is improved, and the construction safety is improved.

The invention discloses a high-precision methane infrared spectrogram intelligent detection method and system, and relates to the field of infrared spectrum determination.The method comprises the steps that multi-wavelength signals of a target detection area are collected, the change process of the multi-wavelength signals is continuously monitored, a change sequence of the wavelength signals is obtained, the change sequence is analyzed, and a methane infrared spectrogram is obtained. Obtaining a first time sequence characteristic of the main absorption wavelength signal relative to the first reference wavelength signal and a second time sequence characteristic of the main absorption wavelength signal relative to the second reference wavelength signal, and determining a judgment threshold according to real-time change states of the first reference wavelength signal and the second reference wavelength signal; and when the change of the main absorption wavelength signal is detected to be earlier than the change of any reference wavelength signal and the change amplitude of the main absorption wavelength signal is greater than a judgment threshold value, calculating the methane concentration value according to the change time difference and the change amplitude ratio of the main absorption wavelength signal and the reference wavelength signal. By implementing the method, the response time of methane leakage identification can be reduced.

According to the atmospheric environment monitoring and early warning system and method provided by the invention, the spectral distribution of atmospheric pollutants at each monitoring station is obtained by performing differential analysis on the transmission spectrum of the atmosphere, and the coupling characteristics of the atmospheric pollutants at each monitoring station on the spectral band are determined according to the spectral distribution; determining the light absorption contribution of the atmospheric pollutants of each monitoring station on the transmission spectrum based on the coupling characteristics; determining the influence coefficient of each physical state on the diffusion of the atmospheric pollutants, and determining the diffusion gradient of the atmospheric pollutants in the target area through all the influence coefficients; carrying out fusion analysis on the atmospheric pollutant concentration in the target area through all light absorption contributions and diffusion gradients to obtain a composite index of atmospheric environmental pollution in the target area; and sending the composite index of the atmospheric environmental pollution to a monitoring and early warning center. By adopting the scheme provided by the invention, the combined pollution evaluation of the atmosphere can be realized in a complex atmosphere pollution environment, so that the monitoring error of the atmospheric environment pollution is reduced.

The invention relates to the technical field of disintegration time limit automatic induction, in particular to a disintegration time limit inductive sensor capable of preventing refraction interference. A disintegration time limit inductive sensor capable of preventing refraction interference comprises a tube body which is internally provided with a medicine soaking cavity; the conical screen cover corresponds to the bottom of the medicine soaking cavity, the diameter of the upper end of the conical screen cover is larger than that of the lower end of the conical screen cover, and the lower end of the conical screen cover corresponds to the center of the medicine soaking cavity and is provided with an opening; the photoelectric sensor comprises a transmitter and a receiver, the transmitter is fixed below the conical screen cover, and a transmitting port of the transmitter is right opposite to an opening in the lower end of the conical screen cover; the floating head is arranged in the medicine soaking cavity, the receiver is installed in the floating head, and the receiving end of the receiver is exposed out of the bottom of the floating head and right faces the emitting opening of the emitter. And the detection precision of the photoelectric sensor can be effectively prevented from being influenced by refraction and liquid sputtering.

The invention discloses a non-contact drunk driving detection method and system adopting a large-linewidth tunable laser, and relates to the technical field of laser detection, and the method comprises the steps: collecting transmission light signals and corresponding electric signals under different linewidth conditions through experiments, synchronously recording experiment parameters, obtaining an original data set, carrying out the preprocessing of the original data set, and carrying out the detection of drunk driving. Generating a training set, a verification set and a test set, and training a BP (Back Propagation) neural network to obtain a pre-trained noise suppression model; the method comprises the following steps of: generating a wavelength-tunable modulated laser beam by adopting a large-linewidth tunable laser, directionally projecting the modulated laser beam into a vehicle cab, and enabling laser to penetrate through the cab space and carry alcohol gas concentration information to obtain a transmission light signal; focusing the transmission light signal to a photoelectric detector through an optical convergence device to obtain a noisy electric signal, inputting the noisy electric signal into a pre-trained noise suppression model, and outputting a de-noised electric signal; performing synchronous demodulation and harmonic analysis on the de-noised electric signal by using a phase-locked amplification detection technology, extracting a second harmonic signal amplitude associated with the modulation frequency, and determining a second harmonic signal characteristic amplitude through peak detection; according to the calibration relation between the second harmonic signal characteristic amplitude and the alcohol gas concentration, the concentration value of the alcohol gas in the cab is calculated in an inversion mode through a least square fitting algorithm, an alcohol concentration threshold value is set, the drunk driving condition of a driver is judged, a detection result is generated, and an alarm signal is output.

A system may include a flow valve coupled to a gas inlet of a landfill gas system and a pump coupled to the flow valve and configured to draw gas from the landfill gas system via the gas inlet. The system may further include an oxygen sensor comprising at least one laser configured to detect oxygen concentration in the gas, a carbon dioxide sensor comprising at least one infrared light source configured to detect carbon dioxide concentration in the gas, and / or one or more chemical sensors configured to sense concentrations of a respective one or more chemicals in the gas. A microprocessor may determine sensed data including at least the oxygen concentration, the carbon dioxide concentration, concentrations of the one or more chemicals, the static pressure, the atmospheric pressure, and / or a differential pressure, and communicate the sensed data to a mobile control device.

The utility model relates to the field of detection devices, in particular to a light transmission detection device for optical cement, which comprises a machine body, a workbench, a conveyor belt, a light source and a light detection component are arranged on the surface of the machine body, two limiting plates are arranged above the workbench, and the two limiting plates are respectively and oppositely arranged on two sides above the workbench. The surfaces of the limiting plates are parallel to the side wall of the conveying belt, any one of the two limiting plates is connected with the machine body through an electric telescopic rod, a longitudinal electric lead screw is arranged on the gantry support, and the end, away from the workbench, of the light source is connected with the electric lead screw through a lead screw nut. The electric telescopic rod can be controlled through the control panel according to the actual size of the optical cement, so that the distance between the two limiting plates corresponds to the actual size of the optical cement, then the electric screw rod works through the control panel, the light source is driven to move, the light source is aligned with the optical cement needing to be detected, operation is more convenient, and the detection efficiency is improved. And the distance between the two limiting plates is controlled more accurately.