489 results about "Ozone concentration" patented technology

The invention relates to the technical field of ozone concentration prediction, in particular to an ozone concentration prediction method, device, equipment and medium based on a space-time diagram convolutional network model.The method comprises the steps that historical ozone concentration and meteorological data of a target area are obtained, and training and prediction samples are constructed after standardization; a space diagram structure is established, nodes represent monitoring points, and edges represent the monitoring points with correlation exceeding a threshold value; extracting a spatial dependency relationship by adopting GCN and GAT, and generating time sequence data; tCN or RNN is adopted to extract time-dependent features, and spatial-temporal feature comprehensive representation is obtained; training a model by utilizing the training sample and the spatial-temporal characteristics, adopting MSE (mean square error) as a loss function, adjusting parameters by an Adam optimizer, and optimizing hyper-parameters to minimize errors; newest meteorological and historical data are input, future ozone concentration is predicted, GNN extracts spatial features, RNN processes a time sequence, time sequence data can be processed in parallel through convolution operation, and high calculation efficiency is achieved.

The invention discloses a PM2.5 and ozone combined pollution intelligent prediction method and system and a medium. The method comprises the following steps: collecting historical air quality data, environmental meteorological data and atmospheric pollution source emission data of a to-be-predicted area; collecting cross characteristic data formed by combining different environmental meteorological conditions and different associated pollution sources; enabling the collected data to form a training data set, and carrying out the data matching; training a multi-task neural network model; selecting an optimal input feature parameter according to the predicted increment contribution degree of each input feature to the trained multi-task neural network model, and constructing and forming a final combined pollution identification model; and acquiring real-time air quality data, environmental meteorological data and atmospheric pollution source emission data of a to-be-predicted area, and inputting the data into the combined pollution identification model to predict PM2.5 and ozone concentration data. The method has the advantages of being simple in implementation method, low in cost, high in prediction precision and efficiency, high in robustness and the like.

The invention discloses an ozone concentration forecasting method based on peak value perception and influence factor analysis, which utilizes continuous online observation data and meteorological observation data of multi-site pollutants, processes abnormal and missing data, and combines with boundary layer height, radiation and sea level air pressure provided by an ECMWF meteorological forecasting product to forecast ozone concentration. Building a high-quality Yunnan region large database for supporting deep learning according to hour-scale meteorological numerical simulation data of vertical wind speed, and building an ozone forecasting model based on influence factor analysis and peak value perception; capturing a global dependency relationship among historical meteorology, pollutant data and an ozone long-time sequence and a nonlinear relationship between ozone and an influence factor, so that the model can better understand context information and a related mechanism influencing ozone generation; the defect of long-time sequence dependence of a traditional deep learning method is overcome, the influence of influence factors on ozone concentration prediction is ignored, and the accuracy of ozone prediction is improved.

The invention discloses an all-solid-state ultraviolet laser capable of simultaneously generating 310 nm and 355 nm high-energy laser, and belongs to the technical field of lasers. Comprising a fundamental frequency laser, a frequency doubling module of the fundamental frequency laser, a sum frequency module in an optical parametric oscillation cavity and a sum frequency module, output energy of a 1064nm pulse laser is fully utilized, nonlinear crystal frequency conversion technologies such as frequency doubling, optical parametric oscillation and sum frequency are adopted, and 310nm and 355nm ultraviolet pulse laser output is achieved. The device has the advantages of multiple wavelengths, high energy, high beam quality, compact structure and the like, the ultraviolet band is located in an ozone absorption band, and the device is particularly suitable for detection of ozone concentration of troposphere and stratosphere atmosphere by a satellite-borne laser radar.

The invention relates to the technical field of environmental monitoring and atmospheric pollution early warning, in particular to a Yangtze River Delta composite extreme weather ozone pollution early warning model construction method, which comprises the following steps of S1, acquiring high-resolution meteorological data and pollutant concentration data of a Yangtze River Delta region to form an original data set; and S2, carrying out missing value interpolation and abnormal value elimination on the meteorological data and the pollutant data, and carrying out grid alignment according to time and space to generate a unified spatial-temporal characteristic matrix. According to the method, by collecting Yangtze Delta high-resolution weather and pollutant data, performing data cleaning, bimodal feature coding and joint representation modeling, predicting the ozone concentration and generating regional early warning through multi-layer Transform self-adaptive attention, the problems that traditional ozone early warning mostly depends on a single-modal prediction model, and the reliability of the ozone early warning is greatly improved are solved. And due to the lack of multi-modal space-time dependent capture, the problem of early warning information lag is caused.

The invention belongs to the technical field of food preservation, and particularly relates to a field intensity adjusting method based on electrostatic preservation. According to the method, a dynamic field intensity adjusting instruction is generated by obtaining biological impedance data of a to-be-preserved object, the phase difference and the voltage amplitude of the multi-electrode plate array are controlled to form a three-dimensional rotating electric field, and space uniform distribution of field intensity is achieved. The ozone generation module operates independently of an electric field, and the ozone concentration is dynamically adjusted through an ultraviolet light source. A high-frequency short-pulse mode or a low-frequency long-pulse mode is matched according to the type of the object, and the antibacterial and fresh-keeping effects are optimized. Self-adaptive field intensity adjustment is achieved through biological impedance feedback, the three-dimensional rotating electric field and ozone decoupling control are combined, the freshness retaining uniformity and safety are improved, the shelf life is prolonged, and energy consumption is reduced.

The embodiment of the invention discloses a refined O3 source analysis method and device based on machine learning, equipment and a medium, and belongs to the technical field of environmental sciences, the method comprises the steps that simulation and source analysis are carried out on local O3 through WRF-CMAQ-ISAM, contribution of each pollution source to O3 is obtained, and the contribution of each pollution source to the O3 is obtained; the method comprises the following steps: firstly, optimizing the ozone concentration change, then standardizing meteorological conditions and pollution source contribution by adopting a random sampling-model prediction-concentration averaging machine learning method to obtain ozone concentration change which is not influenced by weather and emission change, and finally, introducing an SHAP attribution method to quantify the influence of meteorological parameters and pollution source change on O3. Through the method, absolute contribution of meteorological parameters and local emission to O3 change can be obtained, so that an important theoretical basis is provided for accurate prevention and control of O3.

The invention relates to the technical field of ozone compression, in particular to a high-purity ozone concentration process and device applied to semiconductor material cleaning and etching, and the high-purity ozone concentration process comprises the following steps: gas compression: compressing gas to form pressurized initial gas; adsorption separation: introducing the pressurized initial gas into an ozone concentration device, balancing the concentration of the pressurized initial gas, arranging two layers of adsorbents to jointly adsorb ozone, and during adsorption, adjusting the relative positions of the two layers of adsorbents, changing the gas scouring position, and forming a mode of combining fixed adsorption and flow adsorption; desorption: separating ozone, and compressing to form high-purity ozone concentrated gas; the device comprises a tower body, an adsorbent layer, a gas inlet pipe for supplying gas, a gas exhaust pipe for exhausting gas, a sealing plate which slides in the gas inlet pipe and is used for adjusting gas supply of the gas inlet pipe, a sliding mechanism for driving the sealing plate to slide, and a gas exhaust module for separating and desorbing ozone. The method has the effect of reducing the influence on the purity of the ozone concentrated gas.

The invention relates to a fine particulate matter and ozone regulation and control method and system, a storage medium and electronic equipment. The fine particulate matter and ozone regulation and control method comprises the steps that precursor data, maximum emission reduction potential and emission reduction policies of different emission reduction regions and ozone concentration data and fine particulate matter concentration of a receptor region are collected; non-linear responses between the precursors of different emission reduction areas and the ozone concentration of the acceptor area are confirmed; non-linear responses between the precursors of different emission reduction areas and the fine particulate matter concentration of the acceptor area are confirmed; determining the minimum emission reduction of the precursors in different emission reduction areas; confirming constraint conditions of precursors of different emission reduction regions; confirming target constraints of fine particulate matter concentration and ozone concentration in different receptor regions; and calculating the emission reduction proportions of the precursors of all the emission reduction areas. According to the method, the optimal emission reduction scheme of the precursor of the emission reduction area is solved by introducing the joint response relation between PM2.5 and O3 and the precursor thereof and different constraint conditions of different emission reduction cities.

The invention relates to the technical field of ozone control, in particular to a creeping discharge ozone control optimization method, which comprises the following steps: acquiring temperature, humidity, voltage and ozone concentration data based on a discharge device, performing proportion conversion and optimization, extracting trend characteristic factors, screening nodes according to relevance, and sequencing to obtain a creeping discharge ozone control model; the combined effect of electricity, temperature and humidity on ozone change is analyzed, the regulation and control unit is identified, and load distribution configuration is optimized. According to the invention, normalization processing is carried out on temperature, humidity, electrical and ozone concentration data collected in a region, a data linkage mechanism with temperature and humidity change as a core is constructed, node response performance is dynamically sequenced, and periodic data change is fused, so that a set of control flow for cooperatively adjusting temperature, humidity and electrical parameters is formed; real-time adjustment of partitioned loads and dynamic optimization of energy distribution are realized, agile response and multi-region difference matching capability of ozone generation regulation are brought, and the stability under ozone yield fluctuation is improved.

The invention discloses a catalytic ozonation water treatment method for regulating and controlling the structural characteristics of MXene by carbon nitride, MXene is used as a matrix, carbon nitride is introduced by a one-step pyrolysis method, the prepared catalyst can increase the interlayer spacing of MXene to 1.41 nm and improve the layer structure ozone molecule transmission capability and contact area, the Raman ID / IG value is increased from 0.87 to 1.23, the carbon defect is increased, and the water treatment effect is improved. And more reaction active sites are provided. When the catalyst is used for catalyzing an ozone oxidation system to deeply treat pharmaceutical tail water, under the conditions that the ozone concentration is 5-20 mg / L, the catalyst dosage is 50-200 mg / L, the pH is 4.0-10.6 and the like, the ibuprofen removal rate can be increased to 90.1% from 28.0%, and efficient degradation of trace organic matter is achieved. The catalyst is simple and environment-friendly in preparation process, is a solid and is easy to recover, environmental pollution is reduced, and the catalyst has a good application prospect.

The invention belongs to the technical field of water treatment, and discloses a micro-nano bubble and ozone combined treatment system and a method for treating neonicotinoid pesticide wastewater by the micro-nano bubble and ozone combined treatment system. The treatment system comprises an oxygen bottle, an ozone generator, an ozone concentration detector, a micro-nano bubble generator, a gas flowmeter, a reaction tank and a thermostatic bath, the ozone generator is started, and ozone enters the micro-nano bubble generator; the micro-nano bubble generator is started, the neonicotinoid pesticide wastewater enters the micro-nano bubble generator and is mixed with the ozone micro-nano bubbles to generate ozone micro-nano bubble water, and the ozone micro-nano bubble water returns to the reaction tank through the water outlet for reaction. According to the method, the contact area of ozone and pollutants is increased, the solubility and mass transfer efficiency of ozone in water are improved, generation of more active substances is promoted through combination of ozone and micro-nano bubbles, the degradation efficiency reaches 90% or above after reaction is conducted for 1 h, and the reaction efficiency is improved.

To provide a static mixing apparatus for producing long-term sustainable ozone water that can be easily downsized and can sustain an ozone density for a long term even when inflow pressure of liquid is low.SOLUTION: A static mixing apparatus (40) produces long-term sustainable ozone water having ozone gas sustained for a long term, from liquid mixed with ozone including ozone gas. The static mixing apparatus comprises a static swirl flow generating part (41), arranged in a first tube (TU), which makes the liquid mixed with ozone conveyed from the first tube generate swirl flow, and a cavitation generating part (44), arranged in the first tube, which makes the liquid mixed with ozone swirled in the swirl flow generating part generate cavitation. The cavitation generating part (44) includes a shaft part, a first unit (441) in which a predetermined number of fins are arranged at a first angle around the shaft with respect to a direction of the first tube, and a second unit (442) in which a predetermined number of fins are arranged at the first angle around the shaft part.SELECTED DRAWING: Figure 2

The application discloses a kind of atmospheric environment ozone concentration prediction system based on chemical reaction mechanism, including obtaining weather forecast parameter, historical observation data cleaning analysis, analysis screening suitable model, model training and prediction, prediction result analysis, data visualization and so on functional module composition.This system is based on Lagrangian coordinate system, establishes the response relationship between meteorological parameter, pollutant concentration and ozone concentration, using thermodynamic equilibrium principle, chemical reaction equilibrium principle and photochemical reaction principle and other basic chemical reaction engineering theory, deduces the non-linear model of meteorological parameter, pollutant concentration and other parameters on ozone concentration influence, by the independent design of each software function module, with low energy consumption, low carbon emission, low operating cost, data automatic processing, easy to deploy, can be connected ecological cloud platform, system expansibility is strong, maintenance is easy, and computing efficiency is high.Therefore, it has broad market application prospect and good social and economic benefits.

The utility model relates to an ozone water generator. The ozone water generator provided by the embodiment of the utility model comprises: a TDS sensor configured to detect an aqueous solution before conversion in a waterway of the ozone water generator so as to generate and output a water regimen signal; the water regimen signal comprises a current TDS value of the water solution before conversion; the electrolysis adjusting module is configured to adjust the current electrolysis power to target electrolysis power corresponding to the current TDS value according to the water regimen signal and output the target electrolysis power; and the ozone conversion module is configured to electrolyze the water solution before conversion under the driving of the target electrolysis power so as to obtain the converted water solution of which the ozone concentration is stabilized within a preset range or stabilized at a preset value. According to the embodiment of the invention, ozone water with stable ozone concentration can still be obtained in different water quality environments, and the disinfection effect is improved.

The purpose of the present invention is to achieve an ozone water concentration estimation device which is capable of monitoring ozone water concentration with a simpler configuration than before even if impurities are present in ozone water. This ozone water concentration estimation device comprises a first data acquisition unit, an estimation unit, and a data output unit. The first data acquisition unit acquires first generation environment data including at least one of the ozone gas concentration of an ozone gas that is supplied to the inside of an ozone water generation tower, the ozone gas flow rate of the ozone gas, the water temperature of the ozone water that is retained in the ozone water generation tower, the pH of the ozone water, and the retention amount of the ozone water. The estimation unit estimates, from the first generation environment data, an ozone water concentration estimate value, which is an estimated value of the ozone water concentration in the ozone water at the time of measurement of the first generation environment data input from the first data acquisition unit, using a numerical model that estimates the ozone water concentration, which is the concentration of ozone dissolved in the ozone water at the time of measurement of the first generation environment data. The data output unit outputs the ozone water concentration estimate value.

The invention relates to the technical field of transfer bin sterilization, in particular to an ozone control method for sterilization. Ozone concentration, article characteristics and environmental parameters are collected in real time through a multi-source sensor array, data space-time distortion of a multi-source sensor and an ozone concentration field reconstruction position error are greatly reduced through FPGA hardware-level timestamp addition and PTP protocol clock drift compensation, and the article surface area calculation precision is improved. The ozone concentration field in the transfer bin is reconstructed in combination with a fluid mechanics model, and based on the ozone consumption rate prediction of the surface area of the article, the zoning precise regulation and control of the ultraviolet lamp array are realized, and the microorganism killing rate can still be ensured when the article material adsorption difference exists and the ozone concentration spatial distribution is uneven. The medical article sterilization efficiency and the resource utilization rate are obviously optimized; the technical problems that the operation cost is increased and the operation is relatively tedious due to the fact that foreign articles in the current laminar ward can be used by a patient after being disinfected by multiple rounds of multiple devices are solved.

The invention belongs to the technical field of control, and relates to an ozone concentration regulation control system and method. An ozone concentration regulation control method comprises the following steps: measuring the actual concentration of ozone gas, and calculating an error value and an error change rate between a target ozone concentration and the actual ozone concentration; dynamically adjusting the dead zone threshold value; predicting an error at the next moment; substituting the predicted error into a control algorithm to calculate control output; and the control signal is output to the ozone generator to generate ozone with corresponding flow. The size of a dead zone is dynamically adjusted through the error change rate, and adjustment jitter is restrained; control output is corrected in advance in combination with concentration prediction errors, and response lag is reduced; and the concentration stability, the quick responsiveness and the anti-interference capability of the ozone backwashing system can be remarkably improved, so that the removal efficiency of organic matters in a pipeline is improved, the energy consumption is reduced, and the system stability is improved.

The invention relates to the technical field of intelligent control, in particular to an intelligent control system for efficient ozone generation, which comprises the following steps: a driving distribution module, a gas ratio regulation and control module, a state recognition module, a leakage judgment module and a feedback regulation module. According to the method, through linkage judgment of the real-time fluctuation trend of the temperature and humidity and the response priority sequence, dynamic sorting of parameters and timely recognition of dominant factors are achieved, and by combining dry and wet gas ratio regulation and control in an ozone reaction efficiency interval and grading analysis of a current curve and discharge stability characteristics in a discharge period, the ozone reaction efficiency is improved. Multi-condition risk judgment of a synchronous relation between ozone concentration and airflow change is introduced, screening of stable sections and progressive comparison of rhythm configuration are performed by applying multi-period concentration parameters and key operation parameters, and an automatic adjustment strategy based on multi-source working condition participation items is formed. A closed-loop control structure of multi-dimensional condition collaborative recognition, dynamic adjustment and real-time feedback circulation is constructed, and self-adaptive optimization of gas path, discharge and adjustment actions is achieved.

The invention provides an ozone prediction method and device and electronic equipment, and the method comprises the steps: obtaining target prediction data, and obtaining prediction reference data, the target prediction data comprising target nitrogen dioxide data of a target region at a target prediction time; determining the concentration of nitrogen dioxide to be judged based on the target nitrogen dioxide data; determining target nitrogen dioxide concentration judgment data of the target area in the target prediction time from the prediction reference data; based on the to-be-judged nitrogen dioxide concentration and the target nitrogen dioxide concentration judgment data, determining target nitrogen dioxide concentration reference indication data, and based on the target nitrogen dioxide concentration reference indication data, determining a target ozone concentration standard exceeding prediction index of the target area at the target prediction time, the target ozone concentration standard exceeding prediction index support is used for indicating whether the ozone concentration of the target area in the target prediction time exceeds the standard or not. According to the embodiment of the invention, ozone prediction can be conveniently carried out so as to improve the ozone prediction rate.

The utility model discloses a high-salt organic wastewater ozone catalytic oxidation system, and particularly relates to the technical field of wastewater treatment.The high-salt organic wastewater ozone catalytic oxidation system comprises an ozone generator and an ozone oxidation pond assembled on one side of the ozone generator, an ozone concentration monitor is installed on one side of a rotor flow meter, and one side of the ozone concentration monitor is connected with a three-way pipe; an air pump is connected to the rear end of the three-way pipe, a filtering mechanism is mounted on one side of the three-way pipe, a first electromagnetic valve is mounted at the joint of the three-way pipe, the ozone concentration monitor and the filtering mechanism, and a first aeration pipe and a second aeration pipe which are staggered with each other are connected to one side of the air pump through shunt pipes respectively. According to the utility model, the first electromagnetic valve is mounted, so that gas conveyed by the gas pump can be controlled according to treatment requirements by controlling the first electromagnetic valve during use, and the aeration treatment effect is improved; wastewater at different positions in the ozone oxidation pond can be treated by utilizing the first aeration pipe and the second aeration pipe at different positions.

The invention relates to the technical field of water treatment, and discloses a central air-conditioning condensate water disinfection and purification device which comprises a treatment tank main body, an ozone generator and an ozone generator real-time regulation and control system. According to the system, a demand coefficient is dynamically obtained based on residual ozone concentration and ultraviolet absorbance through a pollution load evaluation module; the ozone mass transfer efficiency evaluation module calculates a mass transfer efficiency coefficient based on the tail gas and inlet gas ozone concentration and the gas flow; the matching evaluation module combines the demand coefficient, the mass transfer efficiency coefficient and the water temperature influence factor to generate a matching factor; the generator health monitoring module evaluates a health degree coefficient based on parameters such as air inlet pressure; and the power comprehensive decision-making module fuses the health degree coefficient and the matching factor, and outputs a target power set value through a multi-parameter regulation and control model. The intelligent sensing and dynamic optimization of ozone feeding are realized, the problems of traditional control stiffness, low mass transfer efficiency and insufficient equipment guarantee are solved, and the energy utilization rate and the operation reliability are improved while the disinfection effect is ensured.

According to the present invention, ozone can be dissolved in water with high efficiency and the sustainability of the ozone concentration in the obtained ozone-containing water can be greatly improved. [Solution] With respect to the generated ozone-containing water, the first in-liquid ozone concentration A is the concentration of ozone contained therein which is determined by an ultraviolet absorption method, the second in-liquid ozone concentration B is the concentration of ozone contained therein which is determined by a diethyl-p-phenylenediamine method, the in-liquid ozone concentration difference C = A – B is the value obtained by subtracting the second in-liquid ozone concentration B from the first in-liquid ozone concentration A, and the in-liquid ozone concentration difference ratio C / A is the ratio of the in-liquid ozone concentration difference C to the first in-liquid ozone concentration A. The starting material water is passed through a gas ejection nozzle so that the value of C / A is 20% or more.

The invention belongs to the technical field of switch cabinet monitoring, and particularly relates to a high-voltage switch cabinet fault early warning method and system, computer equipment or a storage medium. The early warning method comprises the following steps: acquiring an ultrasonic signal, a transient ground voltage signal, an ultrahigh frequency detection signal, ozone concentration, oxygen concentration, an SF6 signal, a temperature signal and a humidity signal; performing data preprocessing on the acquired signal to obtain a processed signal; and inputting the ultrasonic signal and the preprocessed signal into the BP neural network model which is qualified in training, and outputting a prediction result. The operation state of the high-voltage switch cabinet can be monitored from multiple angles, possible limitation of single parameter detection is avoided, and the BP neural network has strong nonlinear mapping capability and self-learning capability, so that whether the high-voltage switch cabinet has a fault or not and possible types of the fault and the like can be accurately predicted; and potential fault hidden dangers can be found in advance.

The invention belongs to the technical field of deep learning, and particularly relates to an ozone concentration prediction method based on a CNN-AM-BiLSTM residual network. Comprising the following steps: acquiring historical conventional pollutant and meteorological factor data of a monitoring station and carrying out data cleaning; carrying out feature extraction on the input multi-dimensional data by the convolutional neural network; a multi-head attention mechanism is constructed to help the model to better pay attention to important features, so that the feature representation capability is enhanced; the BiLSTM performs time modeling on the extracted features, so that the long-term dependency relationship in the time sequence data is better captured; a residual network is constructed to relieve the gradient disappearance problem, so that the model better learns nonlinear mapping of input data; the characteristics output by the BiLSTM are mapped to the target output space through the full connection layer, the invention provides a practical and effective method for ozone concentration prediction, the ozone concentration can be accurately predicted, and effective technical support is provided for atmospheric environment treatment.

To provide a gas processing device capable of performing proper purification according to the capacity of the space where the gas processing device is installed.SOLUTION: A gas processing device includes: an ozone generation part for generating ozone; a first detection part for detecting the ozone concentration of the atmosphere; and a controller for controlling the ozone generation part, and for changing the generation amount of the ozone. The controller controls the amount of the ozone to be generated based on data regarding the relation between the ozone concentration and lapsed time, the ozone concentration detected by the first detection part and the lapsed time, preset according to the capacity of the space where the gas processing device is provided.SELECTED DRAWING: Figure 5

The invention relates to a refrigerator and a refrigerator control method. Comprising the steps that ozone concentration estimation is conducted based on the negative ion concentration in the storage chamber and the odor concentration of the storage chamber at the current detection moment, and an ozone concentration estimation value of the storage chamber at the current detection moment is obtained; the ozone concentration estimation value at the current detection moment is input into a trained ozone concentration prediction model for ozone concentration prediction, an ozone concentration prediction value at the current detection moment is obtained, and the ozone concentration prediction model is used for predicting the true value of the ozone concentration based on the ozone concentration estimation value; the current odor load level is determined based on the odor concentration at the current detection moment, the current ozone safety level is determined based on the ozone concentration predicted value at the current detection moment, and the current odor load level is used for reflecting the odor intensity of the storage chamber at the current detection moment; and controlling the ion generator to work in combination with the current odor load level and the current ozone safety level. The ozone safety and the sterilization capability can be considered.

The invention relates to the technical field of environment monitoring and data analysis, in particular to a method for constructing and predicting an ST-nonlinear interactive feature fusion model. According to the model, a site position is determined by using position codes, and spatial-temporal features are extracted and fused by means of multi-source data; the nonlinear relation between the ozone concentration and other pollutants is excavated through a self-adaptive model architecture, and the prediction accuracy is improved; fusing global features by using a multi-head attention mechanism, and adjusting the contribution of each feature in a prediction result; finally, according to the input ozone related data, accurate prediction of ozone is realized, contributions of different characteristic factors to ozone generation are clarified, and scientific support is provided for making ozone pollution control measures in advance. The invention aims to solve the problems that in the prior art, the relation between ozone and other characteristics cannot be fully captured, the characteristic fusion is poor, and the data processing efficiency is low, so that the ozone concentration prediction is inaccurate, and provides an efficient and accurate ozone prediction model.

The invention relates to the technical field of laser radars, and discloses an all-solid-state troposphere and stratosphere ozone detection laser radar system, which comprises a pump light generation module used for generating an ultraviolet laser beam; the solid-state ultraviolet laser module is used for dividing the ultraviolet laser beam into four paths of detection laser to respectively form a differential absorption wavelength pair for detecting the ozone in the stratosphere and a differential absorption wavelength pair for detecting the ozone in the troposphere; the wavelength real-time monitoring module monitors the frequency of the four paths of detection laser in real time; the echo optical signal receiving module is used for receiving back scattering echo optical signals of the detection laser at different heights and converting the back scattering echo optical signals into electric signals; and the signal acquisition and storage module acquires the electric signal and stores the electric signal as a digital signal. According to the invention, four narrow-band laser ozone detection wavelengths are generated through an optical parametric oscillation technology, and meanwhile, the all-solid-state design of the system is realized, so that the ozone concentration of the stratosphere and the troposphere can be detected at the same time, and continuous observation in the daytime and at night can be realized.

The utility model discloses an ozone small-scale experiment device, and relates to the technical field of ozone experiment equipment. An ozone generator is connected to an air inlet at the lower end of an ozone reaction column through an ozone inlet pipe, an ozone flow meter is arranged on the ozone inlet pipe, an exhaust pipe is arranged between the ozone generator and the ozone flow meter, and an ozone concentration detector and an ozone destroying device are sequentially connected onto the exhaust pipe. The upper end of the ozone reaction column is communicated with a gas inlet of the ozone destroying device through a reaction column gas outlet pipe; the lower end of the ozone reaction column is connected with a raw water inlet system and a dosing system; the ozone reaction column is also provided with a circulating system and a drain pipe, a water outlet of the circulating system and a water outlet of the drain pipe are arranged at the upper part of the ozone reaction column, and a water return port of the circulating system is arranged at the lower end of the ozone reaction column; the device is convenient for simulating working conditions in practical engineering application of ozone oxidation, is high in integration level and integrity, is simple to operate, and is convenient for carrying out ozone oxidation experiments.