747 results about "Gas emissions" patented technology

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 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 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 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.

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 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 provides equipment and a method for testing the emission amount of harmful gas in a tunnel, and relates to the technical field of tunnel construction. Comprising a sleeve, a gas parameter testing unit installed on the sleeve, a water tank communicated with the interior of the sleeve and a gassing module installed on the water tank, and the gassing module is connected with the gas parameter testing unit; one end of the sleeve can be dynamically sealed with the drill rod, and the other end of the sleeve is of an opening structure; the gassing module is used for separating out gas in water and conveying the gas to the gas parameter testing unit; and the gas parameter testing unit is used for detecting the concentration and flow velocity of harmful gas in the sleeve and the concentration of harmful gas separated out from water. A gas parameter testing unit is arranged to monitor the data change of gas gushing out of the drill hole in real time; the gassing module can separate out gas in water in real time and convey the gas to the gas parameter testing unit to measure the concentration of dissolvable gas, so that the calculation of the emission amount is more comprehensive and accurate.

The invention discloses an intelligent mine gas monitoring system and a gas safety risk identification and evaluation method. The system adopts a three-layer framework; the sensing layer is integrated with fixed monitoring equipment, mobile inspection equipment and methane emission detection equipment, and global data acquisition is realized through a multi-parameter sensor, an accurate positioning module and a gas emission calculation model; the transmission layer realizes underground data transmission through a wired-wireless hybrid network; and the application layer performs data fusion based on a digital twin mine model, and provides intelligent analysis, visual display and report generation functions. The risk assessment method comprises the following steps: collecting multi-source data in real time and carrying out space-time alignment and Kriging interpolation fusion; dynamically extracting four types of risk factors; identifying an abnormal aggregation area, and associating an equipment state traceability risk; and calculating a risk value through a weighting model, dividing four levels of risks, and triggering a grading response. According to the invention, gas risk dynamic identification, accurate traceability and automatic closed-loop control are realized, and the mine gas safety prevention and control capability is improved.

The invention relates to the technical field of pollution treatment, in particular to a full-automatic tail gas treatment remote control method applied to an intelligent cremation machine. The method comprises the following steps: acquiring tail gas emission data; according to the tail gas emission data, the emission standard exceeding trend is recognized, and tail gas emission standard exceeding data is obtained; determining an emission fluctuation rule based on the tail gas emission standard exceeding data; multi-stage tail gas purification parameter adjustment is conducted according to the emission fluctuation rule, and multi-stage tail gas purification adjustment parameters are obtained; performing full-automatic tail gas treatment simulation according to the multi-stage tail gas purification adjustment parameters to obtain tail gas treatment data; carrying out atomization failure detection according to the tail gas treatment data to obtain atomization failure data; performing nozzle blockage analysis based on the atomization failure data to obtain nozzle blockage data; and performing inner wall scaling detection based on the nozzle blockage data to obtain inner wall scaling data. The intelligent response rate and the purification standard-reaching rate of tail gas treatment of the intelligent cremation machine are improved based on the pollution treatment technology.

The invention relates to a mine gas emission quantity prediction method based on deep learning. The deep learning-based mine gas emission quantity prediction method comprises the following steps of (1) preparing a data set, (2) performing correlation analysis on the data set to determine main control elements of mine gas emission, and (3) constructing a VMD-WTC-PatchTST combined model according to time sequence data of the main control elements of mine gas emission. According to the VMD-WTC-PatchTST model prediction performance evaluation method, data and the model are improved through error analysis, and the final VMD-WTC-PatchTST model prediction performance evaluation result is that R2 reaches 0.894, RMSE is 1.80, and MAE is 1.38. Compared with an original PatchTST model, the fitting degree of the PatchTST model is improved by 2.6%, and due to the fact that the PatchTST is also suitable for long-term prediction, the performance of the model is expected to be further improved theoretically along with continuous supplementation of data.

The invention discloses a competitive evolution multi-task optimization method, system and equipment, and aims to solve the problem that an existing method is difficult to carry out collaborative optimization on fuel cost and gas emission under the condition that power balance and unit capacity constraint conditions are met. The method comprises the following steps: constructing main and auxiliary double-population parallel search; state indexes representing population convergence, diversity and feasibility are calculated in real time; based on the current state, a cooperation mode and evolution operator combined action is adaptively selected through a deep reinforcement learning agent; rewards are calculated according to improvement of the population on cost, emission and constraint satisfaction after action execution; and training the intelligent agent by using the state, the action and the reward, and iteratively optimizing the decision strategy until the Pareto optimal scheduling scheme meeting the constraint is output. According to the method, adaptive intelligent guidance of the evolutionary process is realized, and the optimization quality, the convergence speed and the algorithm robustness of the economic emission scheduling scheme of the power system are remarkably improved.

The invention relates to the technical field of sewage treatment and gas monitoring control, in particular to a distributed monitoring system for gas emission tracking. The system comprises a working condition data acquisition unit, an emission reference modeling unit, a model deviation analysis unit, a vulnerability deduction unit and an anti-vulnerability control unit. The system obtains a predicted emission value by constructing a physical information neural network model, compares the predicted emission value with a measured value to calculate a deviation, and generates an attack state flag; the method is characterized in that a microbial flora vulnerability index is calculated in combination with an attack state flag and a carbon source fluctuation rate; when the vulnerability index exceeds a preset biological safety threshold value, the system adaptively switches to a biological priority mode; according to the method, real-time quantification of the credibility of the model is realized, and invisible biochemical attacks with unknown toxicity sources can be effectively identified.

The invention discloses an oil gas treatment method and system based on pressure triggering and temperature feedback control, a medium and a product, and relates to the field of oil gas treatment. The method comprises the following steps: when a pressure value and an actual temperature of an oil tank meet trigger conditions, guiding oil gas in the oil tank into a condensation unit for condensation, liquefying preset high-boiling-point components in the oil gas into a liquid oil product, and adsorbing the condensed residual oil gas through a double-layer adsorption bed arranged in an adsorption tank in sequence; according to the temperature of the adsorption bed and the tail gas emission concentration, the saturation index is calculated through a composite saturation judgment algorithm, when adsorption is saturated, the vacuum pump is started to conduct vacuum desorption on the adsorption tank, oil gas adsorbed on the double-layer adsorption bed is desorbed, and the desorbed oil gas is circularly sent back to an inlet of the condensation unit to be subjected to secondary condensation liquefaction recovery. By implementing the technical scheme, oil gas can be effectively treated, and the oil gas recovery efficiency is improved.

The invention relates to the technical field of coal mine gas concentration prediction, in particular to a coal mine gas concentration time sequence prediction method and system based on LSTM. The method comprises the following steps: collecting multi-source data such as a mining machine pose time sequence, a micro-seismic monitoring event sequence and roadway environment monitoring, constructing a damage-permeability evolution equation by combining geological information, inverting a coal-rock mass dynamic stress damage field, calculating a gas dynamic permeability field and a gushing source intensity field, and finally predicting the gushing source intensity field by combining a space-time prediction model with historical data. And predicting future gas concentration distribution. And real-time space positioning of the coal mine gas emission source is realized.

A gas emission monitoring system is configured for versatile deployment across various sites, including gas extraction locations, industrial settings, and environmental monitoring areas. The system may include a support structure holding a plurality of tubings, each equipped with at least one intake port. The tubings may be interconnected through a connecting tubing that ultimately links to an analysis tubing feeding into a gas analyzer. The design ensures that the intake ports are strategically positioned at different vertical levels relative to the ground, for example, for optimized air sampling. The gas analyzer may be configured to identify multiple types of gas content in a received air mixture, which is collected from the various intake ports. Thus, the systems discussed herein may provide a comprehensive, adaptable solution for real-time gas monitoring, capable of handling a broad range of gases and environmental conditions.

The present application relates to the field of chemical industry, especially to a chemical reaction kettle.The present application provides a chemical reaction kettle which can improve stirring stability, reduce the generation of vibration during stirring, recycle reaction gas, improve reaction quality, reduce gas emission pollution and waste.The chemical reaction kettle comprises a kettle body, a guide frame and a support seat, the kettle body top is connected with the guide frame, and the kettle body right part upper side is connected with the support seat.The present application filters the reaction gas through the body filter, discharges the gas into the gas phase feeding connector inside through the circulation pipe, recycles the reaction gas, and cooperates with the stable block to stabilize the operation of the stirring blade rotation, so that the stirring stability is improved, the generation of vibration during stirring is reduced, the reaction gas is recycled, the reaction quality is improved, and the gas emission pollution and waste are reduced.

The invention provides a coal mine gas risk virtual deduction early warning method and system based on multi-source information fusion, and belongs to the technical field of gas risk early warning. The method comprises the steps that firstly, geological, mining and environment multi-source data are collected, and after preprocessing and feature extraction, high-dimensional risk feature vectors are fused and constructed; then, the vector is used for driving a virtual working face system containing mining, ventilation and gas emission intelligent agents to perform evolution, a Monte Carlo tree search algorithm is used for prospectively deducing a future multi-step state, and the risk entropy of each path is calculated; and finally, generating a dynamic risk probability graph based on a deduction result, and solving a Pareto optimal decision set giving consideration to safety, efficiency and economy through multi-objective optimization. According to the method, the conversion of the gas risk from passive monitoring to active early warning is realized, the problem of early warning hysteresis is effectively solved, and advanced and accurate scientific decision support is provided for gas disaster prevention and control through risk visualization and spatial positioning.

The invention discloses a fractured zone gas extraction technology optimization method based on absolute gas emission amount, and relates to the technical field of coal mine gas extraction, and the method comprises the following specific steps: constructing a coal seam mining three-dimensional stratum model, reproducing a coal seam excavation overlying strata fracture dynamic development process, representing an overlying strata void ratio spatio-temporal evolution law by using an image processing technology, and obtaining a fractured zone gas extraction result. Obtaining an overlying strata void ratio distribution function; the permeability distribution is deduced, the gas emission amount of the working face is calculated, the gas seepage process in a fracture network is simulated, and a fractured zone gas control targeted area is delineated; a linkage control rule of extraction technical parameters on gas emission, migration and distribution is disclosed, and a fissure zone gas extraction technical library is constructed; and defining an absolute gas emission critical threshold applicable to the extraction technology, constructing a multi-factor hierarchical extraction technology optimization judgment criterion taking the absolute gas amount as a core and considering an occurrence mode, a coal mining method and a ventilation mode, and further providing an adaptive extraction technical scheme and a parameter optimization suggestion for a specific working face. According to the method, differentiated treatment of gas emission of the working face is achieved, the coal mine gas extraction effect is effectively improved, and a reference basis is provided for selecting a gas extraction technology according to local conditions.

The invention discloses a method and a device for determining the gas content of a coal body by using tunneling face gas emission parameter inversion, and relates to the technical field of coal mine gas detection and safety. The method comprises the following steps: acquiring gas concentration, wind speed, roadway section parameters, geological parameters and environmental parameters of a tunneling face through a multi-parameter dynamic acquisition system; on the basis of the collected parameters, gas emission quantity characteristic values are calculated according to drilling operation shifts and non-drilling operation shifts through a dynamic inversion algorithm, and the gas content of the coal body in the current area is inversed; a coal sample is collected through an underground one-stop measuring system, the accurate gas content is measured, and parameters of a dynamic inversion algorithm are optimized; and inputting the multi-source data into an intelligent inversion and early warning system to obtain a predicted value of the gas content in front of the tunneling face and a gas outburst risk level, and adjusting the acquisition frequency and an inversion model. A measurement closed loop is formed, the measurement accuracy and timeliness of the gas content are improved, and the safety of coal mine tunneling operation is guaranteed.

The invention relates to the field of industrial wastewater treatment, in particular to an oxidation flocculation treatment system for sulfur-containing wastewater in mancozeb production. The system comprises a parameter acquisition module, a loss evaluation module, a boundary prediction module, a strategy selection module and a dynamic execution module. The system performs feature extraction in combination with the multi-dimensional state parameters of the fluid, and quantifies the buffer capacity loss degree of the sulfur-containing wastewater by using a mapping model; the method is characterized in that the speed of approaching a system failure boundary is predicted based on loss degree change, a fluid regulation and control strategy is generated in combination with a dangerous threshold value, and an oxidizing agent and / or a flocculating agent are / is dynamically controlled to be added for fluid state reconstruction; according to the method, the traditional passive dosing depending on a single instantaneous index is abandoned, a control object is expanded to hidden system buffer toughness, colloidal sulfur enrichment is recognized in advance and other potential risks, the hysteresis defect of a conventional sensor is overcome, prospective early warning is realized, and sludge floating and harmful gas dissipation are effectively avoided.

The invention discloses a layout method of a coal mining continuous system based on a backfill type deeply-buried channel, and relates to the technical field of strip mine coal mining transportation systems. Firstly, raw coal transportation is conducted through an original rock section inclined roadway, and an inner dumping site is formed along with advancing of a working face; secondly, a backfill type deeply-buried channel is formed in the pit bottom, a belt conveyor is arranged in the backfill type deeply-buried channel to be communicated with a belt conveyor arranged in the inclined roadway, and raw coal under the pit is conveyed to a ground surface production system; the continuous mining and transportation process is combined with the backfill type deeply-buried channel, the coal mining transportation route is optimized, and the comprehensive cost is reduced; the backfill type deeply-buried channel is utilized, the inner drainage space is fully utilized, resource waste is reduced, and the utilization rate of the inner drainage space is increased; tail gas emission is reduced, and an efficient, low-consumption and environment-friendly transportation mode is achieved; manpower is released, and hidden safety accidents in truck transportation are reduced.

The invention discloses a large-dip-angle coal seam group coal roadway strip advanced fracturing and gas extraction method, and relates to the technical field of coal mine gas extraction. The method comprises the following steps: arranging a crossing hydraulic fracturing drill hole in an overlying first coal seam roadway to form an anti-reflection crack; a directional long drill hole of the coal seam is formed in the position of a to-be-tunneled roadway of the underlying coal seam, and strip advanced fracturing is formed based on the fracture extending direction; and ordered connection of drilling construction, gas pre-pumping, roadway tunneling and simultaneous tunneling and pumping is realized through closed-loop operation. The drilling distance, the hole sealing length and the pump injection parameters are optimized, the gas extraction period is remarkably shortened, the coal wall gas emission amount is reduced, and the tunneling efficiency is improved. According to the method, the problems of low gas extraction efficiency and high safety risk of the large-dip-angle coal seam group are effectively solved through a combination mode of gas extraction and strip advanced fracturing, the method is suitable for various coal seam conditions, and the safety and sustainability of coal mine production are remarkably improved.

The invention discloses a sulfur-containing waste gas and waste liquid treatment method and equipment, and particularly relates to the technical field of sulfur-containing waste gas and waste liquid treatment.The sulfur-containing waste gas and waste liquid treatment method is characterized in that a cracking incineration unit, a catalytic oxidation unit, a condensation and concentration unit and a tail gas purification unit are included; sulfur-containing waste gas and waste liquid are sequentially cracked and incinerated into sulfur dioxide, then converted into sulfur trioxide and condensed to form sulfuric acid, sulfur dioxide in tail gas is converted and washed to form dilute acid, sulfuric acid trioxide mist in the tail gas is removed under the action of a high-voltage electric field, and the tail gas is discharged from a chimney. And the effects of ultra-clean emission and high total sulfur recovery rate are achieved under the condition of meeting tail gas emission indexes.

The invention relates to the technical field of radiation protection and environment monitoring, and particularly discloses a radioactive waste gas emission radiation dose real-time monitoring system which comprises a fixed monitoring base station network, an autonomous mobile monitoring cluster, a data fusion and cooperative control center and a radiation dose field three-dimensional reconstruction and evaluation terminal. Through air-ground cooperative monitoring, plume prediction and intelligent path planning based on an atmospheric diffusion model, and a physically constrained spatial interpolation algorithm, efficient tracking of a radioactive plume three-dimensional dynamic diffusion process and accurate reconstruction and visual evaluation of a three-dimensional dose field are realized. According to the system, an air-ground cooperative monitoring system composed of a fixed base station network and an autonomous mobile cluster is constructed, so that a passive and static monitoring normal form is fundamentally changed.

Computer systems, methods, and apparatuses for estimating changes in gas emissions are described. A computer system can monitor overall emission levels based on sensor output from a plurality of gas sensors in a facility. The computer system can estimate a total emission level over a time interval based on accumulated gas response factor weighted detections of the plurality of gas sensors. Emissions in maintenance activities can be excluded as appropriate. The total emission level can be compared to estimated total emission levels for different time intervals and / or different facilities. The computer system can also be used to compare emissions across multiple facilities or to compare emissions of multiple facilities across multiple regions.

The invention relates to the technical field of combustion control, and discloses an efficient combustion system of a full-premixing condensation wall-hanging stove, which comprises a combustion optimization end, a condensation heat recovery end, an intelligent control end, a safety monitoring end, an energy efficiency management end, a user interaction end, a maintenance diagnosis end, an environment adaptation end, a fuel compatibility end and a system integration end, by arranging the independent combustion optimization end and the premixing control module, key emission parameters can be monitored in real time and combustion parameters can be adjusted based on feedback control circulation when fuel gas components, environment temperature and user load dynamically change, so that it is guaranteed that the air-fuel ratio is maintained within the optimal preset interval within the full working condition range, and the air-fuel ratio is kept within the optimal preset interval within the full working condition range. The problems that due to misalignment of the air-fuel ratio, the combustion efficiency is reduced, harmful gas emission is increased, and operation noise is increased are solved, the combustion stability and cleanliness are improved, and the energy efficiency level of the system is integrally improved through cooperative work of the heat exchanger module at the condensation heat recovery end and the working condition adjusting module.

The application relates to the technical field of gas emission, and particularly discloses a gas emission treatment device for hydrochloric acid regeneration acid mist, which comprises a Venturi tube and a demisting pipe, the Venturi tube comprises an air inlet pipe, a throat pipe and an air outlet pipe, a flow uniformizing assembly is arranged on the inner wall of the throat pipe, a plurality of adjusting columns are arranged in the throat pipe, an adjusting mechanism is further arranged on the throat pipe, and a liquid outlet assembly is arranged on the adjusting column; the flow uniformizing assembly can uniformly flow the gas, the gas flow is fully mixed and uniformly enters the throat pipe, the adjusting mechanism can adjust the plurality of adjusting columns, the cross-sectional area of the gas passage is changed, when the input flow of the gas changes, the change of the cross-sectional area of the gas passage can adjust the flow rate of the gas in the gas passage, so that the optimal gas flow rate collides with the absorption liquid for mixing, the liquid outlet assembly on the adjusting column can further make the absorption liquid and the gas fully contact, so that the removal effect of the particulate matters in the gas is improved.