1275 results about "Gas emissions" patented technology

The invention discloses an intelligent regulation and control method and system for dust removal and air control of an underground high-gas heading face, and relates to the field of intelligent control. Firstly, an environment parameter set and an equipment parameter set are obtained in real time; constructing a digital twinborn model of the tunneling face and the ventilation system based on the environmental parameter set and the equipment parameter set, and simulating gas concentration and dust concentration under different working conditions; the prediction model predicts the gas emission amount trend and the dust concentration trend; and inputting the environment parameter set, the equipment parameter set and the risk level into an optimization model, and generating a target decision instruction by the optimization model. The operation parameters in the ventilation system can be timely regulated and controlled in real time based on the monitored environment parameter set of the tunneling face and the equipment parameter set in the ventilation system, so that the ventilation and dust removal efficiency of the ventilation system is improved. Moreover, the decision instruction is generated by referring to the trend of the gas emission amount and the dust concentration in the future, so that the accuracy of the decision instruction of the ventilation system is further improved.

The present invention provides a system and method for tail gas emission modeling analysis of a municipal solid waste incineration process. The system comprises a reference working condition multi-software coupling full-process numerical simulation model construction module, a multi-operation working condition simulation mechanism data acquisition module, a MIMO-LRDT-based tail gas emission model construction module and a single / double-factor-based tail gas emission analysis module. The reference working condition multi-software coupling full-process numerical simulation model construction module is connected to the multi-operation working condition simulation mechanism data acquisition module. The multi-operation working condition simulation mechanism data acquisition module is connected to the MIMO-LRDT-based tail gas emission model construction module. The MIMO-LRDT-based tail gas emission model construction module is connected to the single / double-factor-based tail gas emission analysis module. The system and method for tail gas emission modeling analysis of a municipal solid waste incineration process provided by the present invention can achieve tail gas emission modeling analysis of the municipal solid waste incineration process.

The invention relates to the technical field of sewage plant-oriented carbon neutralization regulation and control scheme design, in particular to a sewage plant-oriented carbon neutralization regulation and control method and a sewage plant-oriented carbon neutralization regulation and control system. The method comprises the steps of collecting water quality, energy consumption and gas emission data in real time through a multi-source sensor, inputting the data into a space-time diagram convolutional network to predict a carbon emission trend after edge computing node cleaning, and dynamically optimizing an aeration rate and a sludge reflux ratio based on a fuzzy PID controller. A whole-process carbon footprint is tracked by adopting a life cycle evaluation method, a multi-target compensation strategy is generated in combination with an improved NSGA-III algorithm, and photovoltaic, biogas and green power resources are scheduled preferentially. A digital twin platform and a block chain evidence storage module are innovatively integrated, the former calibrates model parameters in real time, and the latter generates a non-tampering carbon neutralization voucher. According to the method, the problems of one-sided data, regulation and control lag and insufficient credibility of a traditional method are solved, and minute-level sensing, prediction and offset closed-loop control of carbon emission in the sewage treatment process is realized.

The invention provides a centrifugal air conditioner gas-liquid separator, and belongs to the technical field of gas-liquid separators, the centrifugal air conditioner gas-liquid separator comprises a cylinder body and a cylinder cover, the cylinder body is connected with a drainage pipe and an air inlet pipe, the cylinder cover is connected with an exhaust pipe, a supporting ring and a fixing ring are arranged in the cylinder body, a drainage plate, a wind shield and a side plate are arranged in the cylinder body, and a backflow pipe is arranged on the outer wall of the cylinder body. The filter assembly comprises a water absorption piece; the extrusion assembly comprises a telescopic air bag and a fixing plate; the guide assembly comprises a drainage cover, an outer tube and an inner tube, and a rotating rod is arranged in the inner tube; the device has the beneficial effects that the wind shield drives the rotating rod to rotate, so that the turbine fan blades rotate to promote gas emission, and meanwhile, the cleaning plate is driven to clean the surface of the lower filter plate, so that the blockage condition is reduced, the filtering effect is improved, timely and effective cleaning is ensured, in addition, the water absorption part can be automatically extruded to drain water, the maintenance and replacement frequency is reduced, and the working efficiency is improved. The use efficiency is improved.

The invention discloses an operation balance optimization method for a waste incineration thermal power plant. Efficient and environment-friendly waste treatment and green energy recovery are achieved through regulation and control of core parameters. Comprising an intelligent control system, a carbon cyclic utilization technology and a flue gas purification technology, an optimization model taking comprehensive net income maximization and carbon emission intensity minimization as targets is constructed, a garbage heat value, incinerator temperature, steam parameters, power generation efficiency, station service power consumption rate and the like are selected as core parameters, an operation balance optimization target function is constructed, and the comprehensive net income maximization and the carbon emission intensity minimization are realized. And through an intelligent control system, key parameters such as the incinerator temperature, the excess air coefficient and the flue gas treatment temperature are monitored and adjusted in real time, it is ensured that garbage is fully combusted in the incinerator, harmful gas emission is reduced, and the power generation efficiency is improved. Compared with the prior art, efficient operation of the waste incineration thermal power plant and maximum utilization of green energy are achieved, and remarkable economic and environmental benefits are achieved.

The invention provides a Unipol polyethylene process tail gas recovery system, which belongs to the technical field of tail gas recovery, and comprises a fan, a gas inlet channel, a stripping unit, a movable unit, a turning unit, a gas inlet amount control unit, a movable impurity removal unit, a discharge channel A, an outer barrel, a liquid adding channel and a turning box, the upper end of the stripping unit is provided with a gas inlet channel, the movable unit and the turning unit are connected and located in the turning box, the liquid adding channel is arranged at the upper end of the outer barrel and downwards communicated with the turning box, an absorbent is added into the turning box through the liquid adding channel, and the movable impurity removing unit is arranged at the upper end of the gas inlet amount control unit. The discharge channel A is arranged at the upper end of the movable impurity removal unit, and the outer barrel is arranged on the outer side of the equipment. The problems that an existing Unipol polyethylene process tail gas recovery system cannot convey tail gas into the Unipol polyethylene process tail gas recovery system in a balanced mode to be treated in the operation period, a large amount of inrush tail gas easily causes insufficient tail gas treatment, then tail gas emission does not reach the standard, and the surrounding environment is polluted are solved.

The invention relates to the technical field of air quality monitoring, in particular to an ambient air pollution monitoring method and system based on a sensor technology, and the method comprises the steps: obtaining air quality data at a monitoring point at an initial sampling frequency, and constructing an air quality data curve at the monitoring point; determining a suspected pollution gas emission stage, and taking a monitoring point corresponding to a first abnormal data segment of the suspected pollution gas emission stage as a nearest neighbor monitoring point of a pollution gas emission source; determining the consistency between the environmental influence of the suspected pollution gas emission stage and the change rule of the actual air quality data; under the condition that the consistency of the change rule is greater than a first threshold value, determining the suspected pollution gas emission stage as an actual pollution gas emission stage; and determining the optimized sampling frequency of each monitoring point in the actual pollution gas emission stage, and collecting the corrected air quality data of each monitoring point by using the optimized sampling frequency. According to the invention, the monitoring efficiency, accuracy and reliability are improved.

The invention relates to the technical field of tail gas exhaust control, and particularly discloses an automatic control system and method for tail gas exhaust treatment, the system is provided with a data transmission detection module, a tail gas detection module and a tail gas exhaust detection module, and a data transmission quality index is obtained by performing transmission evaluation on a tail gas detection data transmission process; the stability and reliability of data transmission can be ensured, the tail gas pollution index is obtained by analyzing tail gas property data, the pollution degree of tail gas emission can be reflected, the tail gas treatment efficiency and effect can be improved, it is ensured that tail gas emission meets the environmental protection requirement, and the exhaust performance data in the tail gas exhaust treatment process is analyzed; according to the method, the operation state and performance of tail gas exhaust treatment can be comprehensively and accurately known, the exhaust performance index is obtained, the method is an important basis for evaluating the performance of a tail gas exhaust treatment system, the fault occurrence probability and the influence degree can be reduced, and stable operation of tail gas exhaust treatment is guaranteed.

The invention discloses a carbendazim production tail gas absorption treatment system, which comprises an absorption tower and an absorption liquid lifting device, the top end of the absorption tower is provided with a tail gas discharge port, the bottom end of the absorption tower is provided with a liquid discharge port, one side of the absorption tower close to the bottom end is provided with a gas inlet pipe, and one side of the liquid discharge port is provided with a circulation branch; the liquid outlet is connected with the liquid inlet end of the absorption liquid lifting device, the liquid outlet end of the absorption liquid lifting device is connected with a spraying pipe, one end of the spraying pipe extends to the position, close to the top end, in the absorption tower, and a sprayer is fixed to the end of the spraying pipe. An upper screen plate and a lower screen plate are respectively fixed below the sprayers in the absorption tower, and a filler is arranged between the upper screen plate and the lower screen plate. Through the design that tail gas makes contact with the absorption liquid from bottom to top and then makes secondary contact with the absorption liquid through spraying, the gas-liquid contact area is increased by combining the filler between the upper net plate and the lower net plate, the tail gas absorption efficiency is remarkably improved, carbendazim production tail gas can be effectively purified, pollution of harmful gas emission to the environment is reduced, and the environment protection requirement is met.

The invention provides a single-glass crystalline silicon photovoltaic module recovery method, and aims to solve the problems that fluorine film residues easily exist on a packaging adhesive film and fluorine-containing waste gas is discharged during subsequent pyrolysis of the packaging adhesive film after a back plate is removed by an existing physical disassembly, pyrolysis, separation and recovery process, and in addition, most welding strip coatings on the market contain lead, so that when the adhesive film is removed by pyrolysis, the lead-containing waste gas cannot be discharged during the subsequent pyrolysis of the packaging adhesive film. The lead element diffuses to pollute the battery piece, and the subsequent recovery difficulty is increased. Before the packaging adhesive film and the battery piece are shoveled off by a heat knife, a packaging adhesive film thinning process and a welding strip removing process are added. The residual backboard and the residual fluorine film can be removed together through the adhesive film thinning process, and the problem of fluorine-containing tail gas emission is solved; in addition, the lead-containing solder strip is removed before pyrolysis, and the solder strip is not subjected to a high-temperature process, so that pollution of lead elements to a battery piece is reduced; by optimizing the disassembling process, the breakage rate of the removed back glass is reduced, and the production yield of a production line is increased. The method is not only suitable for recycling of complete single-glass assemblies, but also suitable for recycling of broken single-glass assemblies, and the process applicability is high.

The invention relates to the technical field of odor emission reduction, in particular to an odor emission reduction control system and method for livestock and poultry manure compositing. According to the system and the method, concentration changes of ammonia gas, hydrogen sulfide and volatile organic compounds and temperature and humidity data in a composting environment are accurately obtained through real-time performance and multi-parameter association of gas monitoring in the composting process; the method comprises the following steps of: calculating a diffusion path, a speed and a coverage area of gas in a compost body through finite element analysis, quantifying the distribution characteristics of gas concentration in space, optimizing the wind speed, the wind quantity and the layout of a ventilation system, and improving the ventilation efficiency. Pattern recognition is performed on compost environment gas emission data through the convolutional neural network, the turning frequency and the compost microenvironment are dynamically adjusted in combination with the gas concentration, a gas emission high-value area and a main guide source are accurately positioned, accurate control over compost fermentation odor emission is achieved, and the systematicness and refinement level of compost odor treatment is improved.

The invention discloses a gasoline engine particle trap with low back pressure amplification and narrow pore size distribution and a preparation method thereof, and belongs to the technical field of gasoline engine tail gas emission treatment. The preparation method comprises the following steps: mixing an inorganic raw material, a pore-forming agent, a binder and water to prepare a pug, carrying out pugging, extrusion molding, microwave drying and high-temperature sintering to prepare a ceramic matrix, and carrying out pore plugging and catalyst coating on the ceramic matrix to prepare the gasoline engine particle trap. Wherein the median particle size D50 of a mixture formed by mixing the inorganic raw materials, the pore forming agent and the binder is controlled to be within the range of 20-26 microns, the span (D90-D10) / D50 is smaller than 1.4, and the gasoline engine particle trap with the back pressure amplification being 13-56% is obtained. According to the method, the pore size distribution condition of the ceramic matrix can be pre-judged in actual production, so that particle distribution adjustment of raw materials is carried out, and the pore size consistency of gasoline engine particle traps produced in batches is guaranteed.

The invention belongs to the technical field of gas emission concentration monitoring, and particularly discloses an Informer-based method for monitoring the emission concentration of harmful gas in a large-scale farm in real time. According to the method, aiming at the characteristics of high nonlinearity, variable redundancy, complex coupling and the like of the emission data of the farm, a fusion model based on an Informer model and an RLS model is constructed, and the perception and response capability to the harmful gas emission concentration change is improved. According to the fusion model, global trend prediction is achieved through an Informer model, then dynamic error correction is conducted through an RLS model, the real-time performance, self-adaptability and robustness of the fusion model are effectively enhanced in combination with a processing mechanism of prediction first and parameter lagging update, and the fusion model is obviously superior to a traditional static or single model prediction mode. The method provided by the invention effectively solves the problems of response lag and inaccurate prediction in the current harmful gas emission concentration detection technology.

The invention provides a method for detecting multi-gas concentration in exhaust gas and a gas filtering system, and relates to the technical field of gas detection. The method comprises the following steps: setting components and concentration of mixed gas according to characteristics of target detection gas, and injecting the mixed gas into a light filtering channel to eliminate illumination interference of a red light wave band so as to obtain first illumination; after a user detection instruction is obtained, the gas inlet valve is opened, the exhaust gas enters the detection chamber, the exhaust gas entering the detection chamber is detected through the gas automatic identification module, and the concentration of multiple target detection gases is estimated. Determining the target detection gas with the highest concentration, adjusting an optical filter to filter the first illumination to obtain second illumination, enabling the second illumination to penetrate through the exhaust gas to obtain third illumination, determining the concentration of the target detection gas according to the third illumination and the second illumination, and displaying the concentration on a screen in real time. In a complex gas emission environment, the influence of interference gas is eliminated, and the concentration of target detection gas is accurately detected.

The present disclosure relates a technique for determining gas emission parameters over a geospatial area. The system includes a non-transitory computer-readable medium for storing the spectral signals obtained from overhead sensors and one or more trained deep-learning classification models. The system further includes one or more processors configured to determine one or more gas emission parameters over the geospatial area based on the one or more spectral signals using the one or more trained deep-learning classification models. Each of the one or more trained deep-learning classification models is generated by generating training data based on training samples representative of spectral signals from the one or more geospatial areas at two or more different time-periods, forming a set of training data batches, and training a deep-learning classification model based on the set of training data batches by applying an iterative optimization procedure to adjust hyperparameters of the deep learning classification model.

The invention belongs to the technical field of closed coal mine water-flooded coal seam simulation experiments, and provides a closed coal mine water-flooded coal seam gas desorption dynamic behavior simulation experiment system and method.The experiment system comprises an experiment cavity, a stress loading device, a methane supply module, a water injection module, a gas desorption testing device, a monitoring unit and a control system; the concentration and flow of desorbed gas are monitored by the gas desorption testing device, the monitoring unit comprises a pressure sensor, a water level sensor and a humidity sensor array, and the humidity sensor array is used for monitoring the humidity degree of the surface of the coal sample. According to the experimental system capable of simulating the gas desorption in the water logging process of the gas-containing coal seam under the background that the coal mine is closed, the condition of the gas desorption under the water logging condition of the coal seam can be more truly restored, the gas desorption rule in the water logging process is accurately simulated in an experiment, effective data support is provided, and the experiment efficiency is improved. Therefore, a scientific basis is provided for gas emission management and safety monitoring after the coal mine is closed.

Example embodiments provide a method for improved commissioning, interpretation, and automated or remote operation of a methane density camera designed for monitoring of gas emissions. In some embodiments, the method consists of three related but independent steps including commissioning, remote operation, and data interpretation.

The invention discloses an intelligent dynamic prediction method for a coal and gas outburst dangerous area of a working face, and the method comprises the steps: building an integrated early warning information analysis platform, dynamically collecting key parameters in a mine, and constructing a dynamic data set; and calculating a coal seam firmness factor and a gas emission factor by utilizing a data fusion technology and combining historical data and regression analysis. Furthermore, in combination with a static data set, such as geological and ventilation system distribution data, a multi-parameter coupling prediction model is constructed. The model is trained and verified through a machine learning method so as to predict the coal and gas outburst risk of the working face in real time. The system automatically triggers early warning according to a model prediction result and a preset threshold value, a scientific basis is provided for coal mine safety management, and coal and gas outburst accidents are effectively prevented.

The invention relates to the technical field of battery raw materials, in particular to a preparation method of lithium sulfide powder, the lithium sulfide powder and application, and the preparation method comprises the following steps: uniformly mixing lithium sulfate and a carbon source according to a preset proportion to obtain a first mixture; performing first heat treatment on the first mixture in inert gas to obtain a second mixture; and performing second heat treatment on the second mixture in reducing gas to obtain the lithium sulfide powder. The product obtained by the preparation method disclosed by the invention is the lithium sulfide powder, and the obtained lithium sulfide powder has the advantages of less oxygen and carbon impurities, higher purity and high reaction activity, and meets the synthesis requirements of the electrolyte; according to the preparation method, in the process of preparing lithium sulfide, toxic gas and organic solvent are not used, the reaction temperature is low, the energy consumption is low, the requirement on production equipment is low, the process is simple, the cost is low, harmful gas emission is avoided, safety and environment friendliness are achieved, and industrialization is easy to achieve.

The invention relates to the technical field of liquid hydrogen storage and transportation, and discloses a liquid hydrogen container heat insulation performance rapid detection method, which comprises: S1, measuring the specification of a liquid hydrogen container and the initial state parameter in the liquid hydrogen container; s2, calculating initial parameters of liquid hydrogen and hydrogen in the liquid hydrogen container; s3, the change rate of the state parameters in the liquid hydrogen container is measured, and the final state parameters in the liquid hydrogen container are monitored; s4, calculating final parameters of liquid hydrogen and hydrogen in the liquid hydrogen container; s5, calculating the evaporation mass flow rate of the gas-liquid interface of the liquid hydrogen container according to the change rate of the state parameters in the liquid hydrogen container; s6, the thermodynamic energy change rate of hydrogen and liquid hydrogen in the liquid hydrogen container is calculated; s7, calculating the total internal energy change of the liquid hydrogen container, and calculating the total heat transfer amount of the gas phase and the liquid phase of the liquid hydrogen container; and S8, comparing the total heat transfer amount of the gas phase and the liquid phase of the liquid hydrogen container with standard static evaporation rate data to obtain the heat insulation performance of the liquid hydrogen container. The detection method has the characteristics that hydrogen does not need to be discharged, and the detection precision and safety are improved.

The invention discloses a recovery device and a recovery method for a photovoltaic multi-layer stacked assembly. The recovery device comprises a dismounting unit, a pyrolysis unit and a waste gas treatment unit which are arranged in sequence, the pyrolysis unit comprises a tunnel kiln, a bearing assembly and a conveying assembly. The recycling method comprises the steps that S1, the disassembling unit is used for disassembling, and the frame is stripped; s2, the photovoltaic multi-layer laminated assembly is sent to a pyrolysis unit for pyrolysis, and a glue film layer in the photovoltaic multi-layer laminated assembly is removed; and S3, the waste gas is discharged after being treated. By means of the innovative disassembling system, the multi-plate stacking tunnel kiln pyrolysis scheme and the multi-stage waste gas treatment system, the industrial production capacity of treating 1-3 tons of photovoltaic panels per hour can be achieved, the pyrolysis effect is good, the silicon material recovery rate can reach 98.5% or above, energy consumption is low, and the tail gas emission index is superior to the national standard by 50% or above.

A safety treatment method for high-flow methane-rich fuel gas of a fuel-rich generator comprises the steps that through a low-temperature methane and fuel-rich fuel gas emission ignition performance scaling ground test, an igniter energy value and igniter arrangement position parameters during low-temperature methane and fuel-rich fuel gas emission combustion are determined; and then the oxyhydrogen torch type igniter design and ignition reliability research are carried out, the oxyhydrogen mixing ratio parameter is adjusted, and the oxyhydrogen torch type igniter meeting the optimal igniter energy is created through the similarity principle, so that safe combustion treatment of low-temperature methane and rich combustion gas emission is achieved, and the safety of test bed equipment and testers in the test process is guaranteed.

The invention discloses a river dredging sludge solidification treatment device for hydraulic engineering, and relates to the technical field of hydraulic engineering, the river dredging sludge solidification treatment device comprises a reaction box, supporting legs are fixedly mounted at the bottom of the reaction box, a suction pump is fixedly mounted at the top of the reaction box, a suction pipe is fixedly mounted at the top of the suction pump, and a pushing and stirring device is arranged in the reaction box. Wherein the pushing and stirring device comprises a motor, a rotating shaft, a stirring plate, a first gear, a reciprocating lead screw, a second gear, a sleeve, a first elastic telescopic rod and a scraping rod, the stirring plate rotates to continuously stir sludge in the reaction box, it is ensured that each part of sludge can fully react with a curing agent, and therefore the curing effect is enhanced; the fluidity of harmful substances in the sludge can be effectively reduced, meanwhile, water and the harmful substances in the sludge can better react with the curing agent through stirring, and odor release or harmful gas emission caused by incomplete curing is reduced.

The invention relates to a partition loading drilling gas extraction dynamic simulation experiment device and method, and belongs to the field of coal mine safety. The device comprises an experiment cylinder body, a loading device and an air supply device. A hole sealing section confining pressure pressurizing device, an extraction section confining pressure pressurizing device and an axial pressurizing device are arranged in the experiment cylinder body, and the influence of coal body elasticoplastic deformation on permeability is truly reflected by accurately distinguishing stress loading of a hole sealing section and stress loading of an extraction section; the method comprises the following steps: analyzing a stress state, formulating an experimental scheme, preparing an experimental sample, simulating a loading experiment and analyzing experimental data. By combining drilling construction simulation and negative pressure extraction testing, gas emission rules and leakage characteristics under different hole sealing materials, processes and extraction parameters are systematically analyzed. The technology can accurately test the gas emission rule and the air leakage characteristic of drill holes with different hole sealing processes and hole sealing parameters under negative pressure extraction, and provides a scientific basis for optimizing the gas extraction process and improving the extraction efficiency.

The invention discloses an open pit mine stripping semi-continuous laying method based on a backfill type deeply-buried channel, and belongs to the technical field of transportation of open pit coal mine stripping systems. The method specifically comprises the steps that an optimal stripping semi-continuous belt conveyor system layout route starting from a stripping crushing station to an outer dumping site is planned; a space gully between the inner dumping site and the outer dumping site of the optimal route is filled with stripping materials to form a dumping bridge, a stripping semi-continuous belt conveyor is laid on the dumping bridge to the outer dumping site, and a backfill type deeply-buried channel is laid below the dumping bridge in advance. According to the transportation mode, the stripping and coal mining operation route is optimized, the truck transportation distance is shortened, and the comprehensive cost is reduced by 50%. Meanwhile, the dumping space is enlarged, and the tension of the dumping space is relieved. According to the arrangement mode, stripping and coal mining transportation routes are optimized, existing coal transportation and power transmission lines are reserved, and rerouting is avoided; tail gas emission is reduced, and environmental protection and energy conservation are achieved; hidden safety accidents in truck transportation are reduced, and manpower is released; and the strip mine is promoted to develop towards a safe, green, intelligent and efficient direction.

The invention provides a mine gas emission amount measuring and calculating method and system based on an ultrasonic wind speed sensor, and belongs to the field of coal mine gas monitoring. The transmitting end and the receiving end of the ultrasonic wind speed sensor are fixed to roadway sides on the two sides of a roadway respectively, and ultrasonic echo signals in the downstream direction and ultrasonic echo signals in the countercurrent direction are collected; determining ultrasonic downwind time and ultrasonic headwind time according to the ultrasonic echo signal in the downstream direction and the ultrasonic echo signal in the countercurrent direction, calculating wind speed based on an ultrasonic time difference method speed measurement principle, and transmitting the wind speed to a cloud server; introducing a wind speed correction coefficient, and calculating the air volume of each total return airway based on the wind speed, the roadway section area and the wind speed correction coefficient; the air outlet gas discharge amount is calculated based on the air volume of each total air return way and the gas amount of the corresponding total air return way, and the total gas emission amount of the mine is calculated and displayed in combination with the total gas extraction amount; the monitoring mode that a traditional wind speed sensor replaces a plane with a point is changed, and the accurate total gas emission amount is calculated.

The invention relates to the technical field of industrial environmental protection, in particular to a double-hearth lime kiln low-emission collaborative dust removal system and a control method. The control method comprises the steps that a flue gas sensing module collects real-time flue gas parameters and kiln body working condition data; the working condition linkage regulation and control unit dynamically adjusts operation parameters of the dust removal equipment through a fuzzy PID working condition matching algorithm; the regional collaborative dust removal assembly performs differential dust removal according to flue gas characteristics and treatment requirements of different dust raising points, and flue gas flow guide is performed through a double-hearth time sequence valve group during kiln body switching; the noise elimination and vibration isolation cooperation unit adjusts the noise elimination amount and the vibration isolation damping according to the rotating speed of the draught fan and controls noise and vibration. The tail gas deep purification unit evaluates the dust removal state through a flue gas and dust coupling model, carries out deep treatment on the dedusted tail gas and controls the tail gas emission concentration; the anti-blocking optimization unit carries out cooperative anti-blocking through dynamic rapping and airflow purging based on historical operation data and real-time working conditions. Therefore, the problems of poor dust removal stability, high operation energy consumption and the like in the prior art are solved.

The invention discloses a gas extraction dynamic regulation and control system and method based on three-dimensional modeling, and relates to the technical field of three-dimensional modeling, and the method comprises the steps: constructing an underground multi-source sensor network, and collecting underground gas extraction multi-modal data flow; the method comprises the following steps: acquiring an underground gas historical extraction data set, performing dynamic early warning analysis in combination with an underground gas extraction multi-modal data flow, and establishing a gas emission abnormity early warning model and an extraction system failure early warning model; self-adaptive fusion modeling is carried out, and a three-dimensional model of the extraction drilling system is generated; and the gas emission abnormity early warning model and the extraction system failure early warning model are mapped to the extraction drilling system three-dimensional model for extraction regulation and control analysis to determine target gas extraction control parameters, and extraction closed-loop regulation and control are carried out. The technical problem of monitoring and regulation response lag caused by gas extraction data islanding in the prior art is solved, and the technical effects of real-time sensing, intelligent early warning and accurate regulation in the gas extraction process are achieved.

The invention discloses a data analysis method for greenhouse gas emission flux on an aerated water surface, and belongs to the technical field of gas detection.The method comprises the steps that a floating static box is arranged on the aerated water surface in a floating mode, and two exhaust ports of the floating static box are communicated with an air inlet of an online gas detector and the atmosphere respectively; the floating static box is used for collecting gas brought by bubbles on the aerated water surface, and the gas online detector is used for detecting the gas in the floating static box; and correcting the data detected by the gas online detector. According to the data analysis method for the aeration water surface greenhouse gas emission flux, detection of the aeration water surface gas emission flux can be achieved, particularly, for sewage treatment plant biochemical pool aeration water surface greenhouse gas emission, through data correction and a special algorithm, deviation can be reduced, and the detection accuracy is improved. The accuracy and the application range of the detection method are improved.

The waste gas and waste liquid incineration device comprises an incineration outer box body, an incineration inner container, an inner container space partition assembly, a partition sliding assembly, a multi-layer incineration assembly and a tail gas exhaust assembly, the incineration outer box body is divided into a conical part and a cylindrical part, and the conical part is arranged at the top end of the cylindrical part; the incineration inner container is arranged in the cylindrical part, the cross section of the incineration inner container is rectangular, the height of the incineration inner container is consistent with that of the cylindrical part, a partition plate is arranged at the top end of a gap formed by the incineration inner container and the cylindrical part, and the inner container space partition assembly is arranged in the incineration inner container. The partition sliding assembly is arranged in a gap formed by the incineration inner container and the cylindrical part, the multiple layers of incineration assemblies extend from the exterior of the incineration outer box body to the interior of the incineration outer box body, and the tail gas emission assembly extends from the interior of the incineration outer box body to the exterior of the incineration outer box body. According to the device, waste gas and waste liquid with various different characteristics can be treated at the same time, and dirt in the incineration device can be automatically removed.