598 results about "Co2 concentration" patented technology

The invention relates to the technical field of mine environmental protection, and discloses a gravel aggregate mine carbon emission real-time monitoring and metering method, which comprises the following steps: S1, multi-source sensing, including mining blasting monitoring, ore transportation monitoring and aggregate processing monitoring; s2, edge calculation, including data preprocessing, dynamic compensation calculation and local storage and communication; in the dynamic compensation calculation, the CO2 concentration is output and corrected in real time through a dynamic compensation algorithm, and the dynamic compensation algorithm comprises particulate matter dust drop, temperature and humidity deviation and vibration compensation; and S3, cloud platform processing is carried out, block chain evidence storage, carbon sink deduction calculation and early warning control are carried out, and the carbon sink deduction calculation is vegetation carbon sink absorption amount calculation deduction and waste rock recycling carbon emission reduction calculation deduction according to satellite data. The edge calculation layer adopts a dynamic compensation algorithm, temperature and humidity, vibration and particulate matter compensation items are fused in real time, and the hysteresis bottleneck of accounting is solved; a satellite-ground fusion deduction mechanism is adopted to construct a judicial-level trusted data chain.

The invention provides a concrete carbon sequestration process parameter optimization method, and belongs to the technical field of concrete carbon sequestration. Chemical component data and real-time parameters are input into a carbonization parameter intelligent regulation and control model to obtain regulation values of carbon dioxide concentration, reaction temperature, reaction pressure and water content, and a carbonization reactor is dynamically regulated and controlled; when the carbonization depth is greater than 20mm and the carbon sequestration amount reaches more than 80% of a theoretical maximum value, completing carbonization treatment and recording a process optimization result, and training an intelligent regulation and control model through a parameter regularization framework based on adaptive weight attenuation so that the intelligent regulation and control model can output an optimal parameter adjustment value according to the chemical component difference of the raw material and the real-time change of the carbonization process; the technical problem that the carbon sequestration efficiency is unstable due to the fact that waste concrete carbon sequestration process parameters cannot be dynamically optimized and adjusted according to the chemical component difference of raw materials and the real-time change of the carbonization process is solved.

Embodiments include a method of diagnosing gastroparesis or suspected gastroparesis, the method comprising: obtaining data representing a time series of readings from gas sensing apparatus housed within a ingestible capsule device orally ingested by a subjected; processing the readings to detect one or more gastroparesis indicator spikes in the CO2 concentration with respect to time; based on the detected one or more gastroparesis indicator spikes in the CO2 concentration with respect to time, diagnosing gastroparesis or suspected gastroparesis.

The invention discloses an off-line carbonate cluster isotope sample preparation system and preparation method, the system adopts a main controller and a plurality of sub-controllers to work cooperatively, parameters such as temperature, pressure, gas flow direction and the like are accurately controlled, and the stability and repeatability of sample preparation are ensured; an SPR gas sensor and a fluorescent gas sensor are arranged, CO2 concentration and pressure changes are monitored in real time, accurate data support is provided for a main control machine, and dynamic adjustment and optimization are achieved; a multi-stage cold trap design is adopted, and liquid nitrogen and a methanol-liquid nitrogen mixture are combined for cooling, so that impurity gas is effectively separated, and high purity of final CO2 gas is ensured; the system adopts a modular design, is simple and convenient to operate, is easy to maintain and upgrade, and has good expansibility and universality.

The invention relates to the technical field of carbon dioxide recovery, in particular to efficient carbon dioxide recycling equipment based on a beer production process, which is used for realizing the following steps: acquiring local time lag between adjacent preset positions in a target absorption tower, obtaining the carbon dioxide concentration of different preset positions in the target absorption tower in the current observation time period; determining a concentration relative change index between every two adjacent preset positions; predicting an outlet concentration prediction value corresponding to the next overall time lag; adjusting the power of a pump in the target absorption tower; if the current power adjustment value is smaller than or equal to the preset standard power value, the current spraying redundancy degree is determined, and the opening degree of the spraying valve is adjusted based on the current spraying redundancy degree. By analyzing the carbon dioxide concentration in the current observation time period, self-adaptive adjustment of the pump power and the opening degree of the spraying valve is achieved, and therefore the overall efficiency of carbon dioxide recovery is improved.

The invention discloses a physical constraint-based multi-mode indoor carbon dioxide concentration prediction method, which comprises the following steps of: acquiring time sequence environment data of indoor carbon dioxide concentration, temperature and humidity, and obtaining indoor panoramic image data; performing time sequence feature extraction on the time sequence environment data, and extracting image high-level visual features through a pre-trained image model; in the multi-modal fusion process, a conflict decoupling gating fusion network is introduced to detect and suppress multi-modal time conflicts between static visual information and dynamic environment parameter changes, and contribution weights of an environment modal and a visual modal are dynamically adjusted through a self-adaptive gating mechanism; a time-delay perception cross-modal attention network is introduced to predict and model a physical delay characteristic between a visual event and an environmental parameter response, and cross-modal causal alignment is realized through lag distribution prediction and a weighting mechanism; and inputting the multi-modal features after conflict decoupling and time-lag alignment into a prediction network, and outputting a future indoor carbon dioxide concentration prediction result.

The invention relates to the technical field of forest fire alarm monitoring, in particular to a forest fire early warning method and device, a storage medium and electronic equipment. The method comprises the following steps: acquiring image data and atmospheric spectrum data of a forest area; the atmospheric spectral data is spectral data which is acquired through a Fourier transform infrared spectroscopy FTIR technology and contains a COcharacteristic absorption wave band; identifying visual features of flames and / or smoke from the collected image data through a deep learning model; carrying out baseline calibration and characteristic peak identification processing on the atmospheric spectrum data, and calculating the carbon dioxide concentration; determining a fire danger grade according to the visual features and the carbon dioxide concentration; and generating early warning information based on the fire danger level. Compared with the prior art, the FTIR technology is introduced into the field of forest fire early warning, so that the monitoring precision and the response rate are greatly improved. Meanwhile, early warning evaluation is carried out by fusing two dimensions of optical images and carbon detection instead of being based on a single index, so that the monitoring precision is improved, and the false alarm rate is reduced.

The application belongs to the technical field of big data calculation, and particularly relates to a top-down urban carbon emission accounting method and system. The top-down urban carbon emission accounting method comprises the following steps: S1, gridizing map data to obtain carbon dioxide column concentration molar concentration data corresponding to each grid; S2, obtaining a carbon dioxide concentration difference between an accounting area and a surrounding area of the accounting area according to the carbon dioxide column concentration molar concentration data; S3, obtaining carbon dioxide concentration data of the accounting area according to the carbon dioxide concentration difference; S4, obtaining a carbon dioxide emission amount of the accounting area according to the carbon dioxide concentration data and a volume of the accounting area; and S5, obtaining a carbon emission amount of the accounting area according to the carbon dioxide emission amount. The top-down emission accounting method can avoid the problem of statistical inaccuracy in the traditional layer-by-layer reporting of carbon emissions by various industries.

This invention relates to an integrated electrocapture and conversion catalyst, its preparation method, and its application in the electroreduction of flue gas to produce carbon monoxide. The catalyst consists of gold nanoparticles modified with thiadiazole-based organic ligands, including 2-amino-5-mercapto-1,3,4-thiadiazole, 2-mercapto-5-methyl-1,3,4-thiadiazole, or 2,5-mercapto-1,3,4-thiadiazole. This invention provides a method for preparing the aforementioned integrated electrocapture and conversion catalyst. This method features mild preparation conditions, a simple and clear process, and good reproducibility. The thiadiazole-based organic molecular layer captures carbon dioxide in a reduced state, achieving local enrichment of carbon dioxide. The enriched carbon dioxide is further reduced to carbon monoxide by the gold nanoparticles. In flue gas with a 15% carbon dioxide concentration, a carbon monoxide Faraday efficiency of up to 80.4% can be obtained.

The utility model discloses a carbon emission monitoring device for a thermal power plant, which comprises a collection pipe, a first end of which is used for being inserted into a flue to be detected; the heating assembly is arranged on the periphery of the second end of the collecting pipe; the filter is arranged in the collecting tube; and the gas analysis unit is connected with the second end of the collecting pipe and can detect the CO2 concentration of the gas collected by the collecting pipe. According to the utility model, the CO2 content in the gas can be detected in a severe environment.

The invention relates to a method for judging whether SCR (Selective Catalytic Reduction) aftertreatment of a road diesel vehicle is normal or not. When the working condition of the diesel engine is dynamically changed, the change rule of the O2 and CO2 concentration at the SCR inlet and the NOX concentration along with time has similarity; after exhaust gas enters a normally-working SCR catalytic box, NOX is reduced and changes, O2 and CO2 are not changed, and the similarity of the change rule of the NOX concentration of an SCR outlet and the O2 and CO2 concentrations along with time is damaged. According to the method, whether the SCR works normally or not is comprehensively judged according to the concentration EO2 (t) of O2 and CO2 at an SCR aftertreatment outlet and the correlation coefficient of the ECO2 (t) and the NOX concentration ENOx (t). The dynamic working condition comprises the steps of idling of the diesel vehicle, rapid acceleration, maintaining of the maximum rotating speed and idling returning; measuring the concentration of O2 and CO2 and the concentration of NOX at a post-treatment outlet of the SCR, calculating a correlation coefficient, and comprehensively comparing and judging the working state of the SCR. According to the method, the problems that whether the SCR works normally or not is difficult to judge and misjudgment is easy due to the fact that NOX data at the SCR aftertreatment inlet of the diesel engine are difficult to obtain are solved.

The invention discloses a multi-cavity rice cultivation box, and belongs to the field of rice seed cultivation. The device comprises a box body assembly and a box cover assembly cooperatively mounted at the top of the box body assembly; the box body assembly comprises a box body with an opening in the top, separation bosses are arranged in the box body, and the interior of the box body is divided into a plurality of cultivation cavities through the separation bosses; the box cover assembly comprises a box cover body, and a sealing partition plate penetrates through the box cover body. A closed space formed by the box body and the box cover body is divided into a plurality of independent spaces through cooperation of the partition bosses and the sealing partition plates, and a supply assembly for supplementing nutrients, moisture and air, a ventilation structure and an illumination structure are arranged in each independent space, so that convenience is brought to the operation at the same time and at the same place. The influence of nutrient, moisture, carbon dioxide concentration and illumination on the growth condition in the rice breeding stage is verified by controlling one of the four condition factors of nutrient, moisture, carbon dioxide concentration and illumination to change and keeping the other three condition factors unchanged.

The present application discloses a wetland vegetation carbon sequestration potential prediction method and system under the influence of future climate change, belongs to the technical field of wetland vegetation carbon sequestration potential prediction, and comprises the following steps: obtaining the net primary productivity of vegetation, the vegetation coverage, the monthly temperature, the precipitation and the atmospheric carbon dioxide concentration in the historical period and the future period; calculating the annual average net primary productivity of vegetation, the coverage and the multi-year average vegetation coverage; calculating the annual average temperature, the precipitation and the carbon dioxide concentration; extracting the wetland vegetation pixel distribution as the research area range; calculating the ratio of the annual average net primary productivity to the vegetation coverage to obtain the wetland vegetation carbon sequestration potential value in the historical period; adopting the multiple stepwise regression analysis method to build a per-pixel wetland vegetation carbon sequestration potential estimation model; and utilizing the annual temperature, the precipitation and the carbon dioxide concentration in the future period to realize the accurate prediction of the wetland vegetation carbon sequestration potential in the research area range in the future period.

The invention relates to a ruminant methane emission measuring system and method based on a milking robot, and the ruminant methane emission measuring system comprises a gas collection device which is arranged in a feeding trough area of the milking robot and is used for collecting sample gas in real time during the feeding period of ruminants, and the sample gas comprises animal exhaled gas; the gas analysis unit is connected with the gas collection device and is used for synchronously analyzing the concentration of methane and the concentration of carbon dioxide in the sample gas; and the data recording and processing unit is in communication connection with the gas analysis unit and is used for recording gas concentration data and detection time and calculating the daily methane emission amount based on the concentration data and the physiological parameters of the ruminant. According to the method, the milking window of the milking robot is used for measuring the methane emission amount of the dairy cow at the individual level for the first time, the balance of individual measurement record numbers is guaranteed, and automatic, high-throughput, large-scale and continuous monitoring is achieved.

The invention discloses a vehicle-mounted carbon dioxide treatment method and a vehicle-mounted air purification system.The vehicle-mounted carbon dioxide treatment method comprises the steps that the concentration of carbon dioxide in the internal space of a vehicle is detected; in response to the fact that the carbon dioxide concentration exceeds the standard, determining adsorption parameters and desorption parameters of the vehicle-mounted air purification system based on the carbon dioxide concentration so as to enable the adsorption duration and the desorption duration of the vehicle-mounted air purification system to be matched; carbon dioxide within the interior space of the vehicle is treated based on the adsorption parameter and the desorption parameter. According to the scheme, the adsorption efficiency of the vehicle-mounted air purification system and optimal configuration of overall energy can be compatible, and unnecessary energy consumption is reduced.

The invention relates to an intelligent door and window adjusting method and device based on environmental data, and belongs to the technical field of smart home, and the method comprises the following steps: 1, a sensing module is used for obtaining temperature data, humidity data, noise data and carbon dioxide concentration and uploading the data to a control module; 2, the control module calculates a comprehensive comfort index by using weighted average according to the temperature data, the indoor and outdoor temperature difference data, the humidity data, the indoor and outdoor humidity difference data, the outdoor noise data and the carbon dioxide concentration; 3, the control module judges whether the comprehensive comfort index exceeds a threshold value or not, instructs the driving module to increase the opening and closing angle when the comprehensive comfort index exceeds the threshold value, and instructs the driving module to reduce the opening and closing angle when the comprehensive comfort index is lower than the threshold value; multi-environment parameter coupling adjustment can be carried out, and the adjustment fineness is high.

The invention discloses a fruit and vegetable greenhouse carbon dioxide concentration adjusting method based on neural network optimization and nonlinear dynamic inverse control. According to the method, environmental parameters and fruit and vegetable growth information are collected in real time through a sensor, after data cleaning and Z-score standardization preprocessing, a nonlinear mapping relation between parameters and carbon dioxide concentration is established through an LSTM model, and LSTM hyper-parameters and NDI control parameters are synchronously optimized through a self-organizing memory optimization algorithm. And a system inverse model is constructed by combining nonlinear dynamic inverse control, nonlinear dynamic is counteracted, and real-time accurate adjustment of the carbon dioxide concentration is realized. The future concentration trend is predicted based on LSTM, ventilation equipment and carbon dioxide supply amount are dynamically adjusted, and the model is periodically updated to adapt to environmental changes. The problems that a traditional method is low in control precision, poor in adaptability, high in energy consumption and the like are solved, the regulation and control efficiency and stability are remarkably improved, and resource waste is reduced.

Provided is a recovery apparatus that is mounted on a moving body and recovers carbon dioxide, the recovery apparatus comprising: an adsorption unit 22 that adsorbs carbon dioxide contained in the atmosphere; a plurality of measurement units 21 that measure the carbon dioxide concentration in the atmosphere; a determination unit 23 that determines a movement direction on the basis of the carbon dioxide concentration measured by each of the plurality of measurement units 21; and a control unit 24 that carries out control such that the moving body moves in the determined direction.

The purpose of the present invention is to provide a carbonation curing system and a carbonation curing method which are capable of improving the efficiency of reaction between CO2 gas and concrete. The carbonation curing system comprises: at least two carbonation curing parts; a gas flow part through which a CO2-containing gas flows between the carbonation curing parts; a CO2 gas supply port for supplying the CO2-containing gas; and a CO2 gas discharge port for discharging the CO2-containing gas that has decreased CO2 concentration. In the carbonation curing system and the carbonation curing method, the carbonation curing parts are each provided with concrete that differ from each other in the degree of progress of carbonation curing, and the CO2-containing gas is supplied along a flow path of the CO2-containing gas so as to flow from concrete having a higher degree of progress of carbonation curing to concrete having a lower degree thereof.

This invention discloses a respiratory mask with multi-parameter detection capabilities, comprising: a main body of the respiratory mask and multiple sensors connected thereto; the multiple sensors include at least a carbon dioxide sensor, a pH sensor, and a ketone body sensor, used to detect the carbon dioxide concentration, pH value, and ketone body value in the patient's exhaled gas, respectively; the main body of the respiratory mask is provided with a one-way inlet valve and a one-way outlet valve, the one-way outlet valve being connected to one end of the outlet pipe to guide the exhaled gas to the outlet pipe; the carbon dioxide sensor and the ketone body sensor are both connected to one end of the outlet pipe; the main body of the respiratory mask is provided with a condensation structure to condense water vapor in the exhaled gas into condensate, and the condensate is transported to the pH sensor for detection through a condensate collection pipe. This invention can simultaneously detect multiple parameters, is simple and convenient to operate, and has high sensitivity, which helps to improve the accuracy of disease diagnosis.

The invention relates to the technical field of water electrolysis oxygen production, and discloses a water electrolysis oxygen production regulation and control system which comprises an oxygen concentration detection module, a carbon dioxide concentration detection module, a water electrolysis oxygen production module, an online electrochemical impedance spectroscopy measurement unit and a control module. The control module calculates the change rate of the carbon dioxide concentration based on the real-time carbon dioxide concentration; on the basis of whether the change rate meets a preset steady-state criterion, an online electrochemical impedance spectroscopy measurement unit is scheduled to measure electrochemical impedance parameters; and based on the change rate and the real-time oxygen concentration, the total target oxygen production rate is calculated, and the electric energy conveyed to the water electrolysis oxygen production module is adjusted according to the total target oxygen production rate. According to the invention, through feedforward-feedback double-loop control, the problems of lagging regulation and control response and low precision are solved; and low energy efficiency caused by performance degradation of the electrolytic cell is overcome through self-adaptive EIS measurement and model updating.

The application discloses a carbon dioxide separation device for separating carbon dioxide in a gas to be treated, which comprises a first compression-condensation mechanism, a separator, a first rectifying tower, a second rectifying tower, a second compression-condensation mechanism, a first heat exchanger, a first pressure-reducing valve and a first containing device, a discharge port of the first compression-condensation mechanism is communicated with a feed port of the separator, a liquid-phase discharge port of the separator is communicated with a feed port of the first pressure-reducing valve, a discharge port of the first pressure-reducing valve is communicated with a feed port of the first rectifying tower through the first heat exchanger, a gas-phase discharge port of the first rectifying tower is communicated with a feed port of the second compression-condensation mechanism, a discharge port of the second compression-condensation mechanism is communicated with the feed port of the first rectifying tower through a first branch, and a liquid-phase discharge port of the second rectifying tower is communicated with the first containing device. The above scheme can solve the problem of resource waste caused by directly discharging the gas with a high carbon dioxide concentration in the related art.

Conventionally, CO2 absorbents such as isophorone diamine are used, and the CO2 absorption process at low temperatures and the CO2 extraction process at high temperatures are carried out in separate tanks. However, once the CO2 absorbent such as isophorone diamine absorbs CO2 and solidifies (changes into carbamic acid), it becomes difficult to move it to the other tank, which presents a problem. [Solution] Even when CO2 absorbents such as isophorone diamine absorb CO2 and solidify (change into carbamic acid), the system does not require movement. By creating a (medium to high) vacuum inside the tank, the amount of air inside the tank is reduced, and the concentration of CO2 extracted from the carbamic acid increases accordingly.

The invention discloses a polyamine carbon dot as well as a preparation method and application thereof in improvement of corn resistance, and belongs to the technical field of nano agricultural regulation and control. The polyamine carbon dots are subjected to hydrothermal synthesis, the size of the PEICDs is 2.3 nm, the quantum yield of the carbon dots can be increased, carbon dioxide in the atmosphere can be captured and converted into bicarbonate radicals, and it is verified through in-vitro experiments that the PEICDs can improve the carbon dioxide conversion product 3-phosphoglycerate in vitro; under the stress of drought and salt, the polyethyleneimine functionalized carbon dot solution is applied to the leaf surfaces of the crops, so that the growth and development of the crops can be improved by remarkably improving the net photosynthetic rate and the intercellular carbon dioxide concentration, and the adaptability of the crops to the environment is further improved.

Provided is a replacement air conditioning system (100) in which concentration stratification is formed in a target space (SP). In the replacement air conditioning system (100), an air conditioner (50) sends circulation air below the target space (SP). An outside air conditioner (10) sends outside air below the target space (SP). A carbon dioxide concentration sensor (95) acquires a carbon dioxide concentration at a first height of the target space (SP). A control unit (90) performs control so as to change the ratio between a circulation air amount (Qr), which is the amount of circulation air sucked into the air conditioner (50) from above the target space (SP) and returned from the air conditioner (50) to the target space (SP), and an outside air introduction amount (Qo), which is the amount of outside air supplied from the outside air conditioner (10) to the target space (SP), while setting a total amount of the circulation air amount (Qr) and the outside air introduction amount (Qo) to a predetermined level in accordance with the carbon dioxide concentration.

This invention discloses a fermentation monitoring and early warning system and method, relating to the field of monitoring and early warning technology. The fermentation monitoring and early warning system includes a data acquisition module, a data analysis module, an early warning monitoring module, and an alarm module. The data acquisition module acquires monitoring data in real time. The data analysis module calculates the dissolved carbon dioxide concentration in the liquid, corrects the dissolved carbon dioxide concentration to obtain an effective dissolved carbon dioxide concentration, and calculates an early warning index based on temperature, pH value, dissolved oxygen concentration, and effective dissolved carbon dioxide concentration. The early warning monitoring module acquires the early warning index, compares the early warning index value with a preset threshold range, and triggers a corresponding early warning level to generate a corresponding early warning signal based on the comparison result. The alarm module receives the early warning signal and outputs an alarm prompt corresponding to the early warning signal. This invention can reduce the risk of false alarms or missed alarms, enabling operators to intervene in a timely manner before the microbial metabolic balance is disrupted.

A gas sensor includes a sensor element and a control device, and configured to measure a water concentration and / or a carbon dioxide concentration in a measurement gas, wherein: the sensor element includes an element body, a first pump cell, a second pump cell including a second inner electrode, a third pump cell, a reference electrode, and the control device performs a second inner electrode degradation determination processing for determining degradation of the second inner electrode based on whether or not an absolute value of a third voltage during execution of first and second pump cell control processing and during stoppage of third pump cell control processing falls within a predetermined high-voltage region.

The present application provides a kind of carbon fiber material and its preparation method and application in CO2 capture and electrocatalytic conversion.The present application creatively combines macro-scale hierarchical porous structure for enhanced mass transfer, atomic-level carbon vacancy defects for enhanced CO2 adsorption and activation, and molecular-level Ni-N X S Y Asymmetric active sites are integrated in one. This multiscale synergistic design enables the catalyst to simultaneously address both low CO2 concentration (mass transfer limitation) and oxygen-containing (competing reactions) challenges.

The invention discloses a multi-source-driven CO2 concentration high-temporal-spatial-resolution prediction method based on a dynamic diffusion model, and the method integrates the satellite observation of OCO-2, GOSAT and the like, ERA5 meteorological data, vegetation index NDVI, population activity and other characteristics on the basis of DCRNN, and achieves high-precision prediction through physical prior and a dynamic graph structure. The method comprises the following steps: unifying multi-source data to a regular grid; an adjacent matrix is dynamically generated based on the geographic position and the wind field to serve as the input of the improved DCRNN, and the diffusion relation of COs in the wind direction is described; multi-source node features are input into the improved DCRNN, and physical constraints such as mass conservation and convection consistency are introduced to improve the reliability of a result; a graph-to-grid decoding and super-resolution technology is adopted to reconstruct prediction to a higher resolution level by level, and pixel-level uncertainty can be output. According to the method, multi-source observation and meteorological driving information are fully utilized, the satellite observation blank is effectively supplemented, the fineness and continuity of a COconcentration product are improved, and the method is suitable for carbon emission accounting, carbon source and sink evaluation and environmental decision support.

The present application relates to a kind of new air system and control method based on plant and personnel metabolism coupling, the method comprises: according to indoor plant state and personnel metabolism design the maximum fresh air volume and minimum fresh air volume of new air system;Based on minimum fresh air volume, the minimum light intensity of pre-set system is corrected plant net photosynthetic rate and respiration rate to new air system debugging;Based on pre-set minimum light intensity, the plant net photosynthetic rate and respiration rate of corrected, and personnel quantity fluctuation dynamic adjustment fresh air volume;Combining the real-time fresh air volume of new air system carries out feedback type minimum light intensity adjustment, plant net photosynthetic rate and respiration rate back calculation, and dynamic adjustment of fresh air volume.The new air system and control method of the present application, according to indoor CO2 concentration, photosynthetic active radiation intensity and personnel quantity are comprehensively regulated as needed, and carry out feedback type plant net photosynthetic rate analysis and fresh air volume as needed calculation, real-time control new air system, accurate regulation of new air system is realized.