438 results about "Aerosol" patented technology

The embodiment of the invention provides a new energy optical power correction method and system based on weather abrupt change prediction. The method comprises the following steps: identifying a cloud layer type contained in a target area, and obtaining a cloud layer type coverage rate; if the cumulonimbus coverage rate exceeds a first threshold value, predicting a cloud layer movement path in combination with the cloud layer movement vector field to obtain a first cloud layer coverage change sequence; if the layer cloud coverage rate exceeds a second threshold value, an irradiance attenuation coefficient is predicted based on the cloud layer thickness in the meteorological data and the solar altitude angle, and a second cloud layer coverage change sequence is obtained in combination with the ground aerosol optical thickness and the corrected irradiance attenuation coefficient; and monitoring real-time operation data of the power station, combining the first / second cloud layer coverage change sequence, predicting a matching relationship between a cloud layer moving direction and a power station power reduction area by adopting a double-flow Transform architecture, calculating a power fluctuation range corresponding to each power station power reduction area, dynamically adjusting power grid operation parameters of a target area, and determining the power grid operation parameters of the target area. The power grid stability is ensured.

The invention relates to the technical field of environmental science, in particular to a box-type model-based inversion method for methane sulfonic acid particles in marine droplet aerosol, which comprises the following steps of: 1, acquiring satellite remote sensing data, ground observation data and laboratory simulation data, and carrying out data standardization processing; 2, dividing the target sea area into a plurality of sub-areas as independent box bodies; 3, calculating the discharge flux of the marine droplet aerosol based on the dimethyl sulfide concentration and the wind speed, and updating the spatial and temporal distribution of the discharge source; 4, embedding a chemical reaction path for oxidizing dimethyl sulfide on the surface of the aerosol into the box-type model to generate methanesulfonic acid, and introducing the specific surface area of the aerosol to correct the reaction rate; and step 5, outputting spatio-temporal distribution of the concentration of the methane sulfonic acid, and comparing measured data for verification. The accuracy of aerosol source item estimation is improved, the fusion efficiency of multi-source data is improved, and the adaptive capacity of the model in a complex environment is enhanced.

The invention provides an atmospheric pollutant traceability analysis method and system. According to the method, a form classification standard is established through particle shape features, and atmospheric particles are divided into naturally raised dust and industrial emission particle swarms. A dual-wavelength laser technology is adopted for natural flying dust, specifically, the first wavelength is matched with the inherent frequency of mineral crystals, amorphous scattering interference is blocked through polarization beam splitting, and a reflection signal sequence is extracted to generate a mineral migration path; and the second wavelength screens heavy metal scattering signals of the industrial particles, and a heavy metal diffusion track is constructed by utilizing spatial intensity gradient. And superposing the two paths and aerosol three-dimensional distribution data to generate a thermal distribution diagram, and when the space density exceeds a threshold value, calculating a migration path deviation value and a trajectory offset, dynamically distributing pollution source contribution weights, and outputting a pollution source analysis result. According to the invention, dynamic and accurate analysis of natural and industrial pollution sources is realized, and the regional pollution traceability and management and control strategy targeting are improved.

The application discloses a pollution-preventing detection device, method and application for rapid detection of nucleic acid amplification, which comprises a detection part and a mixed reaction cabin, and the mixed reaction cabin comprises a reaction cabin main body and a reaction cabin cover which is in sealed connection with the reaction cabin main body and can be detached; a channel for connecting a hybridization liquid containing part and a mixed reaction part is arranged between the reaction cabin cover and the reaction cabin main body; the detection part comprises a detection inner core and a detection box body containing the detection inner core; a transparent observation window is arranged on the detection box body and corresponds to the reaction area position of the detection inner core; a flow guide device matched with the mixed reaction cabin is further arranged on the detection box body; the flow guide device comprises a flow guide pipe and a flow guide part; one end of the flow guide part is connected with the flow guide pipe, and the other end is connected with the detection inner core; the hybridization liquid and the sample mixed liquid are guided to the detection inner core; and the detection inner core displays the final detection result in the area corresponding to the transparent observation window. The application realizes that the liquid in the reaction tube flows out to the designated detection card in a completely closed environment, and has the advantages of good sealing effect and prevention of primer aerosol pollution.

The invention discloses a troposphere BrO vertical profile inversion method, medium and equipment based on machine learning, and the method comprises the steps: obtaining BrO vertical profile data, inputting the profile data, aerosol characteristic parameters, geometric angle parameters and earth surface characteristic parameters into an atmospheric radiation transmission model, and obtaining BrO DSCD data; the obtained DSCD and the profile data set are preprocessed; training a troposphere BrO vertical distribution inversion model combining a convolutional neural network CNN and a long short-term memory network LSTM by using the preprocessed DSCD and profile data set; and performing QDOAS processing on MAX-DOAS spectral data to be inverted to obtain DSCD data, inputting the preprocessed DSCD data, aerosol parameters and geometric angle parameters into the trained CNN-LSTM troposphere BrO vertical distribution inversion model to perform data inversion, and finally obtaining an inversion result of troposphere BrO vertical distribution. According to the invention, the accuracy and stability of an inversion result can be significantly improved.

The invention relates to the technical field of unmanned aerial vehicle measurement, in particular to an unmanned aerial vehicle measurement system based on low-altitude meteorological high-precision positioning, which comprises a low-altitude meteorological sensing unit, a positioning fusion calculation unit, a cooperative calibration control unit and a self-adaptive measurement unit. The positioning fusion calculation unit uses an atmospheric delay correction model and fuzzy adaptive Kalman filtering to compensate an atmospheric delay error and adjust a positioning noise matrix to output accurate track coordinates, and cooperates with the calibration control unit to establish a relation between a humidity gradient and a positioning height error, obtain an optimal compensation coefficient and convert the optimal compensation coefficient into a flight control instruction, and finally control the flight control instruction. And the adaptive measurement unit controls the multispectral imager to switch wavebands and adjust the scanning angle of the laser radar according to the flight path and the meteorological parameters, so that the aerosol vertical profile synchronous inversion is realized, and the positioning accuracy of the unmanned aerial vehicle and the reliability of measurement data under the complex meteorological condition are improved.

The invention discloses a preparation method of a composite micro-groove super-hydrophobic low-ice-adhesion photo-thermal film. The preparation method comprises the following steps: (1) constructing a low-elasticity-modulus photo-thermal composite sponge substrate through a solvothermal method; (2) uniformly coating the surface of a substrate with a polydimethylsiloxane (PDMS) precursor solution by adopting an aerosol-assisted deposition technology, and carrying out thermocuring to form a functional composite interface layer; and (3) constructing a multi-stage scallop surface-imitating micro-nano groove composite structure on the surface of the interface layer by using a femtosecond laser micro-nano processing technology. The prepared film has super-hydrophobicity, the surface of the film is in a Cassie-Baxter wetting state with a 164-degree contact angle and a 1-degree rolling angle, and the film has a surface self-cleaning function. Under the icing condition, the adhesion strength of an ice layer of the system is obviously reduced to 2.57 kPa, the static delay icing time is effectively prolonged to 1587 s, and the system has the photo-thermal response characteristic and can realize rapid icing ablation under the standard solar irradiance; the preparation method has the characteristics of high process controllability, environment friendliness and the like, and is suitable for large-scale continuous production.

A mask-based testing system for detecting a biomarker received from lungs and airways of a test subject includes an exhaled breath condensate (EBC) collector integrated into an inside of a face mask worn by the test subject. The EBC collector converts breath vapor received from the lungs and airways of the test subject into a fluid biosample. A biosensor is fixed to the inside of the face mask for receiving a fluid biosample from the EBC collector and testing the fluid biosample for a target analyte. The biosensor generates a test signal dependent on at least the presence and absence of the target analyte in the fluid biosample. An electronic circuit is fixed to an outside of the mask for receiving the test signal, determining from the test signal a test result signal depending on detecting or not detecting the target analyte, and transmitting the test result signal to a remote receiver.

The invention discloses a PM2.5 concentration prediction method and device, a medium and a product, and relates to the technical field of atmospheric environment monitoring and deep learning prediction.The method comprises the steps that laser radar vertical profile data containing extinction coefficients and depolarization ratio vertical profiles and a scalar time series data sequence are obtained; converting the laser radar vertical profile data sequence into a vertical sequence containing position information at any moment; adopting a multi-channel spatial feature extraction model, and obtaining a multi-channel spatial feature vector based on the vertical sequence; and after the scalar time sequence data sequence and the multi-channel spatial feature vector are spliced to obtain a fused feature vector, a PM2.5 concentration prediction value is obtained by adopting a time sequence prediction model. According to the method, the technical pain point caused by the fact that aerosol types cannot be distinguished and'high altitude-ground 'cross-layer physical association cannot be captured in the prior art is solved, so that accurate and robust prediction of the PM2.5 concentration on the ground is realized under complex weather conditions such as sand and dust transportation and boundary layer evolution.

The invention discloses a multi-region aerosol disinfection and odor removal control method and system based on the Internet of Things, and the method comprises the steps: deploying a sensor network in multiple regions, synchronously collecting and carrying out the time-space correlation processing of multi-modal data including chemical, acoustic, thermal imaging and air flow field data; adopting a probabilistic reasoning model to estimate the probability that each area becomes a pollution source in real time, and generating a pollution source probability distribution map; on the basis of the distribution diagram and the air flow field data, the diffusion trend of pollutants is predicted through a diffusion prediction model, and a composite control strategy for treating a pollution source and intervening a pollutant diffusion path is generated; acquiring actual environment data fed back by the sensing network, comparing the actual environment data with a deviation generated by a prediction result, and performing parameter adjustment on the probabilistic reasoning model or the diffusion prediction model according to the deviation; according to the invention, the problems of response lag, no traceability and lack of predictive intervention capability in the prior art are solved, and adaptive control of pollution events is realized.

The invention discloses an atmospheric aerosol detection method and system based on a dual-angle light scattering signal, and relates to the technical field of environment monitoring. The method comprises the steps that forward scattering signals and lateral scattering signals generated by particles to be detected in atmospheric aerosol conveyed into a detection area under laser irradiation are obtained, and environmental parameters of the atmospheric aerosol are obtained, specifically, the environmental parameters comprise at least one of the temperature value and the humidity value; and calculating a signal intensity ratio of the forward scattering signal to the lateral scattering signal of the to-be-detected particle, and inputting the signal intensity ratio of the to-be-detected particle, the forward scattering signal, the lateral scattering signal and the environmental parameters into a pre-trained particle size identification model to obtain a particle size value of the to-be-detected particle output by the particle size identification model. According to the scheme, the particle size detection precision of the particles in the atmospheric aerosol can be improved.

The invention discloses a cloud phase fine identification and liquid water and ice water quantitative remote sensing device, which comprises a split-phase cloud water quantitative detection laser radar, a novel temperature and humidity remote sensing system and a millimeter wave cloud radar, and is composed of a laser emission module, a telescope receiving module, a microwave radiation module, three laser radar detection modules and a digital signal processing module. The system is composed of a central control processing module and a terminal server. The invention further discloses a remote sensing method of the quantitative remote sensing device. All-day detection and quantitative inversion of liquid water, ice water, water vapor, aerosol and cloud are achieved through the split-phase cloud water quantitative detection laser radar. A novel temperature and humidity remote sensing system is adopted to realize real-time fine detection of a temperature and humidity profile in the cloud. According to the cloud phase state fine identification and liquid water and ice water quantitative remote sensing device and method provided by the invention, the problems that the quantitative detection precision of the liquid water and ice water content in the cloud is insufficient and the mixed phase cloud identification is difficult in the prior art are solved.

The invention discloses a spaceborne multi-wavelength laser radar detection cloud particle physical property inversion method. The method comprises the following steps: solving the altitude height and the surface height of each point of an echo signal; de-noising the echo signal; correcting the pre-processed signal to obtain an attenuated backscattering signal and identifying a cloud boundary; establishing a molecular transmittance lookup table, and calculating transmittance and atmospheric molecular parameters; the back scattering coefficient of the cloud is obtained through inversion according to the attenuation back scattering signal, the transmittance lookup table, the aerosol and cloud particle transmittance and the atmospheric molecule parameters; the optical thickness, the extinction coefficient and the like of the cloud are calculated by using the attenuation backscattering signal, the cloud particle and atmospheric molecule transmittance and the atmospheric molecule parameters; calculating the depolarization ratio of the cloud; calculating an integral backscattering coefficient and an integral depolarization ratio of the cloud by using the cloud boundary information; and identifying a cloud particle phase state. The method is characterized in that cloud boundary identification is carried out on spaceborne laser radar echo signals, and cloud optical parameters are solved accurately and efficiently.

The invention relates to a high-angular-resolution atmospheric detection laser radar acquisition and control system, and belongs to the technical field of atmospheric detection laser radar data acquisition. The system comprises an ARM main control module, an acquisition card and a scanning module, wherein the ARM main control module is internally provided with a multi-core CPU (Central Processing Unit), and when the system runs, a data reading process, a data processing process and a data storage process are respectively distributed to different cores of the multi-core CPU for parallel execution; the ARM main control module is used for issuing an instruction to the acquisition card and reading a hardware accumulation result of the acquisition card for processing and storing; the scanning module is controlled by the ARM main control module to perform continuous scanning; and the acquisition card is used for performing high-angle-resolution acquisition on aerosol observation data obtained in the continuous and rapid scanning process of the scanning module according to an instruction of the ARM main control module. According to the invention, the real-time monitoring capability of aerosol space-time distribution in a complex atmospheric environment is improved.

The invention relates to the technical field of irradiance estimation, in particular to an irradiance estimation method and device, electronic equipment and a storage medium, and the method comprises the following steps: obtaining ground site historical data of a research region, reanalysis data of the research region and an aerosol public data set; dividing weather types into clear sky samples and cloudy sky samples according to the obtained historical ground station data of the research area; inputting the clear sky sample, the reanalysis data and the aerosol public data set into a solar irradiance model to calculate clear sky expected irradiance GHIcs; obtaining observation data of a geostationary orbit meteorological satellite, and estimating a cloud cover coefficient CI by using satellite reflectivity; inputting the multi-cloud sky sample and the cloud cover coefficient CI into a cloud index-based semi-empirical model, and calculating a clear sky coefficient Kc; and multiplying the clear sky expected irradiance GHIcs by the clear sky coefficient Kc to obtain an irradiance estimation value under the all-sky condition. Through the improvement of the method, the regional adaptability and the estimation accuracy of irradiance estimation are improved.

The invention relates to the field of pollution traceability detection, and in particular relates to a real-time pollution traceability system based on atmospheric aerosol detection, which is used for solving the problem that an aerosol pollution detection technology cannot realize intelligent analysis on a pollution source so as to bring difficulty to prevention and control optimization of pollution control. Pollutant information is tracked and detected through an aerosol radar, the change condition of pollutants is obtained, the diffusion result of the pollutants is counted and compared with an aerosol diffusion model simulated by an algorithm, the weight of the pollution source distribution probability is calculated according to a comparison difference area, and the pollution source distribution probability is calculated according to the weight of the pollution source distribution probability. Simulation analysis of the pollution source is carried out according to the distribution probability of the pollution source to obtain a diffusion model containing the pollution source, the diffusion model containing the pollution source is compared with the diffusion result of the actual situation again, the position of the pollution source is continuously adjusted to obtain multiple groups of different diffusion models, and finally pollution prediction is achieved according to the comparison result. And optimization of a pollution treatment strategy is facilitated.

The invention discloses a remote sensing data-based cultivated land resource dynamic monitoring and checking method and system, and the method comprises the steps: introducing atmospheric scattering parameter estimation in an atmospheric correction process, carrying out the refined estimation of the atmospheric path radiation through combining with the water vapor content and aerosol concentration, and optimizing the atmospheric correction parameters, thereby achieving the dynamic monitoring and checking of cultivated land resources. And the interference of the atmospheric effect on the surface reflectance is effectively weakened. Spectral response function matching and spectral feature standardization processing are implemented, and a spectral difference correction model is constructed, so that the spectral features of the multi-temporal images tend to be consistent. The spectral deviation caused by atmospheric condition fluctuation is remarkably reduced, and the comparability of spectral response between images is improved, so that the accuracy and the stability of cultivated land change detection are improved. And finally, change feature extraction and region identification are performed on the basis of spectrum consistency enhancement, so that the actual change condition of cultivated land resources can be reflected more truly, misjudgment caused by atmospheric noise is reduced, and the reliability of a dynamic monitoring result is enhanced.

The aerosol visual detection system comprises a base, a light source cavity, a smoke diffusion cavity and a camera shooting cavity are formed in the base in sequence, a shading insertion plate is inserted between the light source cavity and the smoke diffusion cavity, a transparent smoke isolation insertion plate is inserted between the smoke diffusion cavity and the camera shooting cavity, and the light source cavity, the smoke diffusion cavity and the camera shooting cavity are communicated through the transparent smoke isolation insertion plate. A plane light source is arranged on one side of the base, a cover plate is arranged on the other side of the base, a camera is arranged on the side, facing the camera shooting cavity, of the cover plate, and a smoke exhaust pull plate is detachably arranged at the front end of the smoke diffusion cavity. According to the aerosol visual detection system and the characteristic parameter evaluation method, the camera can directly obtain the two-dimensional space distribution of the aerosol through plane imaging, and in combination with an image analysis technology, not only can the concentration information be inverted, but also multi-dimensional characteristics such as textures, contours and dynamic diffusion can be extracted; the defects of a traditional photoelectric method in spatial information and multi-feature analysis can be overcome, and a new technical path is provided for fine detection and feature evaluation of aerosol.

The invention relates to the technical field of public health safety, and discloses a biological safety event emergency response virtual simulation training system, which comprises a virtual environment construction module, a practical operation training management module, an intelligent evaluation feedback module, a case teaching engine module, a self-adaptive optimization module and an evaluation report generation module, a light source self-calibration module is arranged, optical response models made of different materials are configured for different protective devices, and the authenticity reference of visual presentation of various protective devices is guaranteed; meanwhile, by comparing the wavelength of the virtual light source with a preset spectrum reference value in real time and dynamically monitoring the illumination color temperature deviation of an operation area, the accuracy of aerosol leakage risk assessment is ensured, the misjudgment risk of emergency training is further reduced, and by calculating the spatial position deviation value of a virtual viewpoint of a user and a pollution core area, the risk assessment accuracy is improved. Whether the observation visual angle deviates from the biosafety observation standard axis or not is judged in real time, so that the system can effectively avoid the situation of key pollution path recognition omission.

The invention relates to an atmospheric boundary layer height inversion method and system based on a laser radar, and belongs to the field of atmospheric detection, and the method comprises the steps: employing the laser radar to carry out the vertical detection of a to-be-detected region, obtaining an echo signal, and carrying out the preprocessing of the echo signal, and obtaining a preprocessed echo signal; obtaining an optimal scale parameter of wavelet covariance transformation by using a particle swarm optimization algorithm, and carrying out wavelet covariance transformation on the preprocessed echo signal based on the optimal scale parameter to obtain a wavelet covariance coefficient curve; the local maximum value position of the wavelet covariance coefficient curve is used as an ABLH candidate value; calculating feature data of the preprocessed echo signals, and clustering the preprocessed echo signals into an aerosol layer, a cloud layer and a common atmosphere based on the feature data and an optimal covariance coefficient corresponding to the optimal scale parameter; setting the maximum aerosol concentration change position in the aerosol layer as an ABLH threshold value; the ABLH candidate value closest to the ABLH threshold value is determined to be the atmospheric boundary layer height.

The invention discloses a mountainous area fog forecasting method, which comprises the following steps that: through the cooperative work of a satellite sub-module, a ground sub-module and a forecasting sub-module, the accurate forecasting of a foggy weather condition is realized, and the satellite sub-module records the complete cycle change of a cloud layer and an air temperature, extracts parameters and carries out space-time analysis; the ground submodule records fog visibility, aerosol concentration and air temperature data in real time; the prediction sub-module receives and processes the data, establishes a foggy day prediction model by using cloud computing and machine learning technologies, sets thresholds of different foggy day types, and predicts and judges the foggy day types by comparing the real-time monitoring data with the thresholds; by combining a satellite remote sensing image processing technology and ground real-time monitoring data, the system can obtain more comprehensive and accurate meteorological information, thereby improving the accuracy and reliability of foggy day prediction. A machine learning algorithm is utilized to train a large amount of historical data, so that the prediction model can learn rules and features generated by foggy days, and the prediction precision is improved.

The invention discloses a primer group, a kit and a method for rapidly and visually detecting silver salmon components, belongs to the technical field of nucleic acid detection of marine fish products, and particularly relates to a method for rapidly and visually detecting the silver salmon components by using an LAMP (loop-mediated isothermal amplification) technology. The invention provides a primer combination suitable for rapid nucleic acid detection and a corresponding kit, the primer combination comprises an outer primer pair and an inner primer pair, and the kit integrates the primer combination and an optimized LAMP reaction mixed solution. The detection means has a plurality of prominent characteristics that during detection, only DNA of a sample to be detected needs to be added into an LAMP reaction mixed solution prepared in advance, and the detection work can be carried out by means of common constant-temperature equipment. After the whole detection process is about 60 minutes, the result interpretation can be completed by observing the color development condition with naked eyes, and when the reaction mixed solution is yellow, the reaction mixed solution is judged to be positive; and if the color is red, determining that the color is negative. Due to the design of closed tube detection, the hidden danger of aerosol pollution caused by uncovering operation is effectively avoided. The method is excellent in specificity and relatively high in detection sensitivity, and can detect 10 <-1 > ng of genome DNA or a sample with the mass fraction of 1% at least. The method has the advantages of good result reproducibility, simplicity and convenience in operation and low cost. The method is particularly suitable for being applied to scenes with relatively limited resources such as basic units and field detection, the cost investment in the aspect of supervision can be remarkably reduced, and the efficiency of detection work is improved.

The invention provides an offshore area atmosphere and ocean parameter collaborative inversion method and system, and relates to the technical field of satellite remote sensing, and the method comprises the steps: obtaining to-be-inverted parameters which comprise an atmosphere parameter and an ocean parameter, calling a multi-parameter physical information neural network model to carry out the ocean water-leaving radiation calculation of the ocean parameter, and calculating the ocean water-leaving radiation of the ocean parameter; an atmospheric aerosol model is called to carry out parameterization calculation on atmospheric parameters, and scattering parameters and absorption coefficients of atmospheric aerosol are obtained; inputting the ocean water-leaving radiation quantity and the scattering parameter and the absorption coefficient of the atmospheric aerosol into a forward radiation transfer model, and carrying out radiation transfer calculation to obtain entrance pupil radiation brightness of the top of the atmospheric layer; and finally, performing parameter inversion by combining a satellite measurement radiation signal to obtain an inversion parameter corresponding to the to-be-inverted parameter. According to the invention, problems existing in an atmospheric correction algorithm for ocean water color remote sensing in the prior art are solved.

The invention discloses a method for adaptively reconstructing an NDVI (normalized difference vegetation index) missing value, which belongs to the technical field of data missing value reconstruction, and is characterized in that an NDVI time sequence is decomposed into trend, season and abnormal components through dynamic Kalman filtering to identify abnormal observation caused by factors such as cloud and aerosol, and reconstruction is completed by using a space-time low-rank structure. Compared with a traditional method, the method can generate a high-quality NDVI time sequence without external quality information, is suitable for observation products from different satellite sources, and further provides support for continuous monitoring and accurate description of long-term vegetation dynamics.

Various control systems for controlling a surgical system according to detected airborne particulate cloud characteristics are disclosed. The control systems can adaptively control various surgical devices, such as surgical instruments and smoke evacuators, according to the configuration or change in state of a surgical smoke cloud or another aerosol detected at a surgical site.

The invention provides a satellite-borne laser radar and reanalysis data multi-wavelength atmospheric transmittance inversion method, and relates to the field of atmospheric remote sensing. According to the inversion method, on the basis of satellite-borne laser radar data and reanalysis data, the atmospheric transmissivity under different wavelengths is accurately calculated in combination with wavelength conversion and data fusion; comprising the following implementation steps: step 1), selecting satellite-borne laser radar data; step 2), screening the extinction coefficients; step 3), generating a space-time matching data set; step 4), establishing an aerosol extinction-transmittance conversion model; step 5), calculating atmospheric molecule and ozone transmittance; step 6), performing layered transmittance fusion; and 7) calculating the transmittance of the whole atmosphere.

The invention discloses a dual-band multi-wavelength laser radar and a coaxial transmitting and receiving method thereof, and belongs to the technical field of laser radars, the laser radar comprises an industrial personal computer, a laser, a transmitting light path, a receiving telescope, a collimating lens, a first detector, a second detector and a data acquisition module; a laser is controlled by an industrial personal computer to output laser of two wave bands, the laser of the two wave bands is adjusted and expanded in an emission light path and then is emitted into the atmosphere at the same time, the laser interacts with molecules and aerosol in the atmosphere, and an atmosphere back scattering echo signal is collected by a receiving telescope; after being collimated by the collimating lens and split by the spectroscope, two wavebands are respectively received by the two detectors and are input into the industrial personal computer for data processing and result display; the lasers of the two wave bands are detected simultaneously through the wavelength division multiplexing technology, and the lasers of different wavelengths in the same wave band are subjected to time division switching detection through the time division multiplexing technology. According to the invention, the multi-target gas profile detection capability of a single laser radar system can be improved.

The invention discloses a salt mist atmosphere concentration control method, device and system. The method comprises the following steps: setting a reference parameter corresponding to a target salt mist concentration; generating a salt mist atmosphere and collecting a real-time physical quantity of the salt mist atmosphere; calculating a real-time moisture absorption growth factor of the salt mist atmosphere particles according to the real-time moisture absorption factor, the real-time relative humidity and the real-time particle size distribution; calculating the real-time concentration of the salt mist atmosphere based on a mixed aerosol light scattering model in combination with a real-time extinction coefficient, a real-time scattering phase function and a real-time moisture absorption growth factor; and in response to deviation of the real-time concentration from the target salt mist concentration, generating and executing a regulation and control instruction based on a multi-physical-quantity coupling regulation and control model to regulate the generation rate and the humidity compensation amount of the salt mist atmosphere until the real-time concentration is stabilized in a preset range of the target salt mist concentration. Through a multi-physical-quantity coupling regulation and control mechanism, the problems of low precision and slow dynamic response in traditional salt mist concentration control are solved, and an accurate salt mist atmosphere control scheme is provided.

The invention relates to the technical field of electrical cabinet monitoring, solves the problems that single-point temperature monitoring is relatively high in leak detection risk, a single sensor is interfered by the environment to cause frequent false alarm and lagged emergency response after a fire breaks out, and particularly relates to an electrical cabinet operation safety monitoring system based on a multi-mode sensor array. The sensor array module is composed of an infrared surface domain temperature sensor, an ultraviolet / infrared composite light sensor and a differential smoke sensor; the edge calculation unit is used for receiving sensor data and executing three-level fire judgment logic; the fire extinguishing execution module comprises a gas spraying system and an aerosol fire extinguishing unit; and the communication module uploads the fire data to an industrial Internet of Things platform. According to the invention, the fire monitoring range and precision are improved, the anti-interference capability is strong, and the response speed is fast.

The invention relates to the technical field of air pollution control, in particular to an air pollution denitration and desulfurization tail gas purification method which comprises the following steps: rotational flow spray desulfurization (adopting nanoscale composite absorbent slurry to efficiently absorb SO2 and remove particulate matters in a rotational flow reactor), two-stage catalytic denitration (using a nano-catalyst to promote NOx reduction in a low-temperature region, and using a high-temperature catalyst to remove the particulate matters in a low-temperature region). In the high-temperature area, a vanadium-tungsten-titanium-based catalyst is loaded through a novel honeycomb ceramic carrier to strengthen the reaction), deep collaborative purification is carried out (residual pollutants and aerosol are further removed by utilizing electrostatic precipitation and oxidative adsorption coupling), and an intelligent regulation and control system is used for optimizing the ratio of an absorbent, the temperature of the catalyst and flow velocity parameters in real time. According to the method, the problems of catalyst poisoning, high energy consumption and insufficient treatment efficiency in a traditional process are solved through a nano material modified absorbent, a temperature gradient catalytic reaction and a multi-pollutant synergistic removal mechanism. The desulfurization efficiency of the system is greater than or equal to 98%, the denitration efficiency is greater than or equal to 97%, the particulate matter emission is less than or equal to 10mg / m < 3 >, the SO2 is less than or equal to 35mg / m < 3 >, and the NOx is less than or equal to 50mg / m < 3 >