518 results about "Pollutant emissions" patented technology

The invention relates to the technical field of boiler control, and discloses a gas-fired boiler starting control method and system. The method comprises the following steps: acquiring initial operation parameters such as hearth pressure, water inlet temperature, flue gas oxygen content and fuel valve opening of the gas-fired boiler, establishing a thermodynamic state model in a starting stage according to the initial operation parameters, and dividing dynamic response thresholds of different load intervals; and calculating a theoretical fuel supply rate of the combustor based on the model, generating and dynamically updating a fuel supply correction coefficient in combination with a threshold value, synchronously marking key nodes according to abnormal distribution of hearth temperature, and adjusting a spatial air distribution strategy of the combustor. And after the correction coefficient is subjected to multi-stage buffer smoothing, a fuel control instruction is output to an executing mechanism. And switching to steady state control after the boiler reaches the preset load. The method adapts to the characteristics of a power plant unit, so that the starting process is more stable, the damage to a heated surface and pollutant emission are reduced, and rapid grid connection is assisted.

An AI-connected-electrified (ACE) heavy truck system equipped with an intelligent multi-mode hybrid (iMMH) powertrain system and a vehicle supervision control strategy based on machine learning (ML) or reinforcement learning (RL) paradigm are presented. This system ensures industry-leading power and braking performance of the ACE heavy truck while automatically optimizes both energy saving and emission reduction based on the vehicle's dynamic driving data and 3D electronic map information of roads for any transport event. In this application, the conventional analog electronic control (AEC) method is replaced by a novel digital pulse control (DPC) method on the instantaneous power function of the engine. The DPC method converts the complex surface working conditions of the AEC engine of the hybrid vehicles into simpler pre-defined working condition lines of the DPC engine. Consequently, the multi-variable nonlinear technical problem of simultaneously optimizing real driving environment (RDE) fuel consumption and pollutant emissions of the ACE heavy truck is simplified into two decoupled quasi-liner optimization problems, and ensures the reduction of on-vehicle computing resources for real-time AI inference computation and the improvement of the optimal performance, the convergent rate, and the robustness of the corresponding fuel-saving algorithm for the trained ML model or the learned RL model. Ultimately, the ACE truck achieves in the engineering sense the global minimum RDE fuel consumption and pollutant emissions meeting the standard consistently at high performance to cost ratio for any transport event and the RDE fuel consumption is decoupled from the vehicle configuration parameters and the human driver.

The utility model provides a peak-shaving steam supply system for deep waste heat utilization of a thermoelectric unit, which deeply recovers cold end waste heat and flue gas waste heat of a cogeneration unit, is coupled with a two-stage compression heat pump, extracts waste heat to heat demineralized water, and serves as a primary heat source for supplying industrial steam, so that the waste heat participates in external heat supply; the superheater utilizes the generating capacity of the unit to enable industrial steam to reach steam supply parameters, the waste heat of the unit and the generating capacity are combined for external steam supply, the circulating heat efficiency is improved, the steam supply capacity is improved, meanwhile, the on-grid electricity is reduced, thermoelectric decoupling is achieved, the unit adjusting operation interval is expanded, the operation cost and pollutant emission are reduced, and peak regulation or spot transaction earnings are improved. And a clean, low-carbon, flexible, efficient, economical and energy-saving combined heat and power generation system is constructed.

The invention belongs to the technical field of coal-fired boiler control, and particularly relates to a system and a method for dynamically regulating and controlling the structural design of a separated coal bunker and the blending combustion proportion of fire coal. According to the method, the correction coefficient is generated through the small-scale blending combustion experiment data, and the initial proportion calculation model is calibrated, so that the proportion design conforms to the theoretical constraint and adapts to the actual combustion characteristics of the coal type, and the theoretical and actual deviation is reduced; combustion efficiency and pollutant emission trend are predicted on line based on a fire coal combustion prediction model, dynamic adjustment of a fire coal blending combustion proportion is realized in combination with a progressive adjustment rule and an extreme working condition response rule, combustion parameter fluctuation is avoided, a verified alternative scheme is called, environmental protection and combustion stability are met, response time is shortened, and the method is suitable for large-scale popularization and application. The reliability in a fault state is improved; by automatically updating the fire coal combustion prediction model, prediction-adjustment-update closed-loop optimization is realized, the regulation and control error is gradually reduced along with the operation time, and the high regulation and control precision is kept for a long time.

The invention discloses a vehicle emission conformity online evaluation method and device, a storage medium, equipment and an evaluation method, and the method comprises the following steps: obtaining a remote monitoring data flow of a to-be-evaluated vehicle in a preset time period, carrying out the preprocessing of the remote monitoring data flow, and generating a valid data set; identifying and segmenting a plurality of independent driving cycles from the effective data set, and screening out the independent driving cycles with cold start characteristics and engine accumulated work not smaller than a preset cycle work threshold value as effective driving cycles; dividing the data of each effective driving cycle into a plurality of preset working condition partitions according to the operating characteristics; aiming at each preset working condition subarea, adopting a corresponding calculation model, and calculating a pollutant emission result of the target pollutant; and comparing the pollutant discharge result of the target pollutant in each subarea with a corresponding preset discharge limit value for judgment. By using the scheme of the invention, low-cost, large-scale and high-frequency emission supervision is realized.

The invention discloses a regional atmospheric pollution and carbon emission reduction cooperative benefit evaluation method, system and device, and relates to the technical field of atmospheric pollution and carbon emission reduction, and the method comprises the steps: carrying out the evaluation of the regional policy scene parameters of a target region based on a greenhouse gas-atmospheric pollution cooperative effect model according to the regional policy scene parameters of the target region; determining a pollutant emission list and PM2.5 space distribution concentration prediction data; based on a machine learning algorithm, determining O3 spatial distribution concentration prediction data according to the pollutant emission list and the PM2.5 spatial distribution concentration prediction data; calculating health benefits by adopting an environmental benefit evaluation model according to the PM2.5 spatial distribution concentration prediction data and the O3 spatial distribution concentration prediction data; and based on a life value method, calculating economic benefits according to health benefits. The method is high in evaluation efficiency, more comprehensive in evaluation, high in precision and good in practicability.

The invention discloses a pollution emission monitoring and early warning method based on physical prior and information value driving, and relates to the technical field of environment monitoring and pollution control, and the method comprises the following steps: collecting production side certificate data, executing time alignment and self-calibration drift removal, and constructing a standardized multi-source database; judging whether a heat island effect occurs or not, and if yes, collecting volume heat capacity, solar irradiance and heat island intensity data of a single building; according to the method, the heat island effect is introduced to judge and generate a new time-space diagram network, real-time heat island intensity changes caused by building materials and solar irradiation can be dynamically captured, and building wind field and plume data are accurately corrected. The problem that a conventional method cannot adapt to irregular fluctuation of vertical wind shear caused by the real-time heat island effect is solved, the pollution plume low-altitude compression phenomenon caused by the heat island effect is effectively corrected, and the monitoring direction is always aligned with the real diffusion path of pollutants.

The invention discloses a multi-parameter linkage water quality sampling method and system, and relates to the field of water quality sampling, and the method comprises the steps: obtaining hydrological data, main transportation path data and pollutant discharge data; setting water area sampling points of the target monitoring water area according to the hydrological data, the pollutant emission data and the main transportation path data; water quality sampling is conducted on the water area surface sampling points and the water area vertical sampling points; verifying the validity of the sampling point data, and determining the validity of the water area surface sampling points and the water area vertical sampling points according to the validity verification result; acquiring water quality monitoring data of the water area surface sampling points and the water area vertical sampling points; calculating a pollution source linkage index according to the water quality monitoring data, and determining a pollution emission event type; determining a time sequence phase definition for the pollution event based on the pollution emission event type and the water quality monitoring data; and determining the corresponding water quality sampling frequency and water quality sampling volume by combining with the time sequence stage definition. The accuracy of water quality monitoring can be effectively improved.

The utility model provides a biomass methanol sewage treatment device which comprises the following steps: S1, gasification wastewater, ground flushing water, methanol rectification wastewater, test wastewater and domestic sewage are generated in a biomass methanol production process; carrying out oil removal, two-stage air flotation reaction, deamination reaction, coagulation cyanogen breaking and Fenton pre-oxidation treatment on the gasified wastewater to obtain pretreated gasified wastewater; s2, performing comprehensive treatment on the ground flushing water, the methanol rectification wastewater, the test wastewater, the domestic sewage and the pretreated gasification wastewater. The biomass methanol wastewater treatment system has the beneficial effects that the high-concentration gasified wastewater is pretreated by adopting classified and quality-divided treatment, the pretreated wastewater is biodegradable wastewater, and a comprehensive treatment process which mainly adopts biochemical treatment and is high-grade oxidation security is adopted, so that the treatment cost of the biomass methanol wastewater is reduced, and the effluent is ensured to reach the emission standard of pollutants in the petrochemical industry.

A dual-motor mixed-hybrid powertrain system, by performing pulse modulation control, i.e., series-hybrid intelligent start-stop control or parallel-hybrid intelligent power switching control, on the instantaneous power time-varying functions of an engine and a battery pack, can convert the surface working condition of an analog electric control engine into a simpler line working condition of a digital pulse control (DPC) engine, either a pre-determined high-state line working condition in the high-efficiency combustion area or a pre-determined non-combustion low-state line working condition with zero fuel consumption and zero pollutant emissions multiplexed in time. The traditional fixed one-to-one bidirectional mapping between an engine working condition and a vehicle working condition is converted into a dynamically adjustable many-to-many bidirectional mapping to achieve the full coverage of any overall vehicle working condition, achieving decoupling between a DPC engine working condition and the overall vehicle working condition and decoupling between software and hardware of a hybrid powertrain.

Provided is a smart platform-based environmental control unit management system for a coal-fired power plant, relating to the technical field of flue gas treatment. The system comprises a sensing layer, an application layer, and a decision-making layer, wherein the sensing layer comprises a plurality of data acquisition devices for collecting data of each piece of operating equipment within an environmental control unit; the application layer comprises a flue gas management module, wherein the flue gas management module creates a flue gas management prediction model on the basis of the data collected by the sensing layer and historical data records; and the decision-making layer determines an optimal coordinated control strategy for the environmental control unit on the basis of the model created by the application layer and the data. According to the platform-based environmental control unit management system, parameter information is acquired by means of a sensing layer, and emission prediction is achieved by means of modeling by an application layer; the application layer uploads a prediction model and sensing layer parameters to a decision-making layer; the decision-making layer applies a global particle swarm optimization algorithm to output parameters and the created models, and adjusts a parameter range and a pollutant emission threshold as constraint conditions with the aim of minimizing costs, so as to obtain an optimal system control strategy.

The invention discloses a cooperative control method for the air-fuel ratio, the injection opportunity and the cooling liquid temperature of a hydrogen fuel engine. The cooperative control method comprises the steps that S1, operation condition parameters and combustion state parameters of the hydrogen fuel engine are monitored; s2, based on the operation condition parameters, adaptively determining a target air-fuel ratio, a fuel injection opportunity and a cooling liquid temperature through a preset control strategy; s3, the combustion state and the engine operation condition are evaluated in real time through a closed-loop feedback control system, and the following cooperative adjustment is executed: the hydrogen supply amount is adjusted to maintain the target air-fuel ratio; the hydrogen injection time is adjusted, and the combustion phase is optimized. According to the cooperative control method for the air-fuel ratio, the injection opportunity and the cooling liquid temperature in the hydrogen fuel engine, the target air-fuel ratio, the hydrogen fuel injection opportunity and the engine cooling liquid temperature are comprehensively adjusted under a closed-loop feedback control framework, optimal control over the combustion process under different working conditions is achieved, and therefore the braking heat efficiency of the engine is improved, and the service life of the engine is prolonged. And pollutant emission is reduced, knocking is restrained, and the application requirement for efficient cleaning of the engine is met.

This invention belongs to the field of peak-shaving technology for thermal power units, specifically a deep peak-shaving method for thermal power units that combines electrolytic hydrogen production with ammonia synthesis and energy storage. It integrates an electrolytic hydrogen production with ammonia synthesis and energy storage system, an energy comprehensive utilization system, and a collaborative control system to form a closed-loop peak-shaving system: during off-peak periods, excess electricity from the thermal power unit is collected; during peak periods, the stored ammonia is used to supplement the unit's energy through coal-ammonia co-firing, while oxygen is utilized for oxygen-enriched combustion to enhance peak-shaving and stable combustion capabilities. The synthesized ammonia can also replace purchased ammonia for flue gas denitrification. Through the collaborative control system, the operation of each link is coordinated, achieving efficient energy conversion and precise control. This invention significantly improves the deep peak-shaving and peak-response capabilities of thermal power units, substantially reduces carbon and pollutant emissions, optimizes energy utilization efficiency, extends equipment lifespan, and provides strong support for the green transformation of coal-fired power and the stable operation of new power systems.

The invention discloses a thermal power plant environmental protection evaluation method and system, and the method comprises the steps: obtaining and dividing the historical pollutant discharge data of a thermal power plant, obtaining a plurality of discharge stages, determining the discharge data characteristics of the thermal power plant, and evaluating the environmental protection state of the thermal power plant based on the discharge data characteristics to obtain an environmental protection state evaluation value; determining the weight of each emission stage, and determining the historical environmental protection state evaluation value of the thermal power plant based on the weight and the environmental protection state evaluation value; constructing a prediction model for prediction based on the historical pollutant emission data and a preset model to obtain pollutant emission prediction data, determining emission trend characteristics of the pollutant emission prediction data, and determining an environmental protection adjustment coefficient based on the emission trend characteristics of the pollutant emission prediction data; and adjusting the historical environmental protection state evaluation value based on the environmental protection adjustment coefficient to obtain an environmental protection evaluation value. According to the method, the comprehensive environmental protection evaluation value of the thermal power plant is generated by fusing historical tracing and future prediction, the crossing from static evaluation to dynamic prediction is realized, and the environmental protection comprehensive level of the power plant can be quantified more scientifically and accurately.

The invention relates to the technical field of electric flame stoves, in particular to an electric flame stove with low nitrogen oxide emission and an operation method of the electric flame stove. According to the technical scheme, the device comprises a gas supply unit, a discharge cooking range and a plasma power supply and is used for preparing and supplying high-purity nitrogen; the discharge cooking range is communicated with the gas supply unit and is used for receiving the high-purity nitrogen as working gas; and the plasma power supply is electrically connected with the discharge cooking range and is used for providing discharge electric energy for the discharge cooking range. According to the invention, high-purity nitrogen is used as a discharge medium instead of air, so that the generation of nitrogen oxides and ozone is inhibited from the source, and the pollutant discharge is obviously reduced; meanwhile, the system is highly compatible with an existing cooking range structure, and can adapt to various discharge forms without modification; the air compressor, the nitrogen making machine, the power supply and other components are integrated in the stove body, so that the miniaturization and integration of the equipment are realized; and in cooperation with gas storage pressure stabilization and flow regulation control, the stability of system operation and the simplicity and convenience of operation are ensured.

The application provides a boiler combustion control method and system for ammonia-coal dual fuel blending, and belongs to the field of ammonia-coal mixed combustion control. The boiler combustion control method for ammonia-coal dual fuel blending comprises the following steps: S1: generating a boiler operation parameter in an ammonia-coal dual fuel blending process according to a boiler load and an ammonia blending ratio requirement during ammonia-coal dual fuel blending; the boiler operation parameter comprises an ammonia supply amount set value and a coal supply amount set value. The application can realize automatic adjustment control of fuel quantity, air quantity and pollutant emission in ammonia-coal dual fuel blending combustion, improve combustion efficiency, realize low pollutant emission, and improve the automatic blending level.

The invention relates to the technical field of air source heat pump steam engines, in particular to an efficient and environment-friendly air source heat pump steam engine and application of the efficient and environment-friendly air source heat pump steam engine. A steam outlet of a gradient type liquid separation evaporator communicates with a gas-liquid separation tank and a first steam inlet of an inverter compressor through a four-way valve, and a monitoring assembly is arranged between the inverter compressor and the four-way valve; the variable-frequency compressor is communicated with the double-flow-channel condenser, the double-flow-channel condenser is communicated with the liquid storage device, the liquid storage device is communicated with the flash tank type economizer through the two-stage throttling assembly, the top of the flash tank type economizer is communicated with a steam supplementing opening of the variable-frequency compressor, and the flash tank type economizer is communicated with the gradient type liquid separation evaporator through the two-stage throttling assembly. The gradient type liquid separation evaporator is provided with a low-temperature auxiliary assembly. By the adoption of the structure, air serves as a heat source, zero pollutant emission is achieved, the frequency of the inverter compressor is dynamically adjusted according to loads, high efficiency and energy saving are achieved, the operation cost is reduced, and requirements of multiple fields such as textile printing and dyeing, food processing, chemical and medicine and agricultural greenhouse heating are met.

The invention relates to the technical field of industrial combustion equipment, in particular to a top combustion heavy oil burner and a combustion method.The top combustion heavy oil burner comprises a burner shell, a center oil gun and a multi-stage air distribution structure, the multi-stage air distribution structure is coaxially sleeved from inside to outside, and a center air pipe with a cyclone at an outlet is used for providing center rotational flow air for stable combustion; an outlet of the combustion-supporting air pipe is a direct-flow air channel, and the combustion-supporting air pipe is used for providing combustion-supporting air and controlling flame forms; an outlet of the cooling air pipe faces the inner wall of the shell, and the cooling air pipe is used for forming a cooling air curtain to protect the burner body. By means of the multistage air distribution design, efficient and stable combustion and low pollutant emission of heavy oil are achieved, the service life of the combustor in the high-temperature environment is greatly prolonged through a unique cooling structure, and the combustor is particularly suitable for top combustion type heating of an industrial boiler.

This invention discloses a process for preparing high-purity vinyl sulfite using a jet-type loop reactor. Based on the jet-type loop reactor, it employs multiple catalytic systems, using ethylene oxide and sulfur dioxide as raw materials, combined with relevant solvents. This invention relates to the field of vinyl sulfite technology. This process for preparing high-purity vinyl sulfite using a jet-type loop reactor enhances gas-liquid mass transfer through an external circulation jet-type loop reactor. Combined with optimized raw material pretreatment, the reaction cycle is shortened to 2.5-3.0 hours, improving efficiency by more than 50% compared to batch processes. The entire process is continuous, with equipment utilization exceeding 85%, suitable for large-scale production of tens of thousands of tons per year. It addresses the shortcomings of existing processes in terms of scalability, achieving high production efficiency and significant scalability advantages. Furthermore, the entire process is a closed loop, preventing sulfur dioxide leakage. Excess sulfur dioxide is recovered, and solvents are recycled, reducing pollutant emissions by more than 80%.

The utility model discloses a glass kiln flue gas treatment device which comprises a shell, a filter assembly, a reactor, a gas inlet pipe and a gas outlet pipe, the gas inlet pipe is connected with the lower end of the shell, the gas outlet pipe is connected with the upper end of the shell, the filter assembly is arranged in the shell and located between the gas inlet pipe and the gas outlet pipe, and the reactor is arranged between the shell and the gas outlet pipe. The air inlet pipe is used for conveying flue gas into the shell, the filter assembly is used for filtering particulate matters in the flue gas, the reactor is used for denitrating the flue gas, the air outlet pipe is used for discharging the flue gas, a plurality of guide plates are arranged between the reactor and the air outlet pipe, the guide plates are connected with driving equipment, the driving equipment is electrically connected with the controller, and the driving equipment is used for driving the guide plates to rotate by an angle; the controller is used for controlling the driving equipment; through filtration and denitration treatment, emission of pollutants in flue gas is effectively reduced, the angle of the guide plate is adjustable, the denitration efficiency and the adaptability of the device can be improved, and the flue gas is more uniform and smoother.

The invention specifically discloses a micro-grid low-carbon optimization scheduling method based on demand response, and relates to the field of energy optimization scheduling, and the method specifically comprises the steps: carrying out the modeling based on the structural characteristics of a renewable energy micro-grid; comprising the steps of renewable energy power generation system modeling, compressed air energy storage system CAES modeling, storage battery energy storage system BESS modeling, hydrogen production and storage system modeling and demand uncertainty modeling. The method comprises the following steps: constructing operation constraint conditions for renewable energy power generation system modeling, compressed air energy storage system modeling, storage battery energy storage system modeling, hydrogen production and storage system modeling and demand uncertainty modeling, constructing an objective function of comprehensive scheduling optimization, and constructing a comprehensive scheduling optimization model on the premise of meeting the system operation constraint conditions. The total operation cost and the pollutant discharge amount of the system are minimized, demand side response is considered, and a water bear optimization algorithm is adopted for scheduling strategy optimization. According to the invention, the economical efficiency and green level of renewable energy microgrid operation can be effectively improved.

This invention belongs to the field of bioengineering and carbon one-carbon resource utilization technology, specifically relating to a bacterial strain that produces acetic acid and acetate through syngas fermentation, as well as its applications and methods. The strain is *Clostridium yongdarii* (…). Clostridium ljungdahlii SL40, deposited at the Guangdong Provincial Microbial Culture Collection Center (GDMCC No. 67679) on January 15, 2026, represents a strain that achieves highly efficient H2 / CO2 conversion in syngas, with a maximum CO2 utilization rate of 1.8 g / L / h. The anaerobic fermentation process produces zero pollutants, enabling resource utilization and carbon reduction of industrial waste gas, and providing a new technological pathway for carbon resource conversion.

This invention discloses an online evaluation method, apparatus, storage medium, and device for vehicle emission compliance. The evaluation method includes the following steps: acquiring remote monitoring data streams of the vehicle to be evaluated within a preset time period; preprocessing the remote monitoring data streams to generate a valid dataset; identifying and segmenting multiple independent driving cycles from the valid dataset, and selecting independent driving cycles with cold start characteristics and engine cumulative power not less than a preset cycle power threshold as valid driving cycles; dividing the data of each valid driving cycle into multiple preset operating condition zones according to operating characteristics; using a corresponding calculation model for each preset operating condition zone to calculate the pollutant emission results of the target pollutant; and comparing the pollutant emission results of the target pollutant in each zone with the corresponding preset emission limits for determination. This invention achieves low-cost, large-scale, and high-frequency emission supervision.

The present invention relates to a method of manufacturing a container, and more particularly, to a method of manufacturing a container, in which a steel module for a frame and a steel plate module for a panel in a module state are electroplated and coated for rust and corrosion prevention before a welding assembly step, so that a large-capacity container after the welding assembly does not need to be coated and dried by another device, the number of coating and drying is reduced, drying at room temperature is possible, and thus, a production cycle and cost can be reduced, productivity can be improved, and emission of environmental pollutants can be minimized.

The embodiment of the invention aims to provide a method, a system, equipment and a medium for predicting the concentration of nitrogen oxide emitted by a boiler, and the method comprises the following steps: obtaining a Raman spectrum of boiler fuel, extracting spectral characteristic parameters, obtaining a flame image in a boiler furnace within a preset time, and extracting flame characteristic parameters based on the flame image; performing feature fusion on the spectral feature parameters and the flame feature parameters to obtain fused feature parameters; and inputting the fusion characteristic parameters into a pre-trained emission prediction model to obtain the predicted concentration of the nitrogen oxide emission, and according to the scheme, the emission of pollutants such as the nitrogen oxide of the boiler can be rapidly and accurately predicted, and a key technical support is provided for a thermal power plant to realize combustion optimization and pollution emission reduction.

The invention discloses a coking wastewater treatment method based on gas ratio combined precipitation, which comprises the following steps: adding an acidic reagent and PAM (polyacrylamide) into coking wastewater, and removing small molecular weight toxic substances, specifically thiocyanide and cyanide, and large molecular weight toxic substances, specifically more than ternary phenol and tar in the wastewater through a gas ratio combined precipitation device, the method comprises the following steps: treating the coking wastewater through a GDiAR-F anaerobic reactor, removing three-element or less phenol and macromolecular COD (Chemical Oxygen Demand) through a GDiAR-F anaerobic reactor, removing micromolecular COD, ammonia nitrogen, TN (Total Nitrogen) and TP (Total Phosphorus) in the wastewater through a secondary A / O (Anaerobic / Oxic) device, and finally enabling the effluent to reach the standard, thereby completing the comprehensive and efficient treatment The coking wastewater is treated by adopting a gas ratio combination precipitation device, a GDiAR-F anaerobic reactor and a secondary A / O device, so that the effluent of the coking wastewater is stably discharged in a standard reaching manner. The method does not need to add activated carbon, is simple to operate and low in cost, can greatly reduce the operating cost of each ton of wastewater, and achieves the direct emission standard of Emission Standard of Pollutants in Coking Industry, thereby having wide development potential.

The invention discloses a device and a method for generating nano-bubble fuel oil by utilizing oleophobic fibers and a Venturi flow field. The device comprises a Venturi tube, a nano-bubble generation reactor and a large bubble separator, the nano bubble generation reactor is filled with an oleophobic fiber module; the method comprises the steps that fuel oil flows through a Venturi tube to generate negative pressure to form liquid of pre-dissolved gas, the liquid enters a nano bubble generation reactor and flows through an oleophobic fiber module, micro-nano bubbles with large particle sizes are separated and discharged through an exhaust port in a large bubble separator, nano bubbles with small particle sizes stably exist in the liquid, and the micro-nano bubbles with small particle sizes stably exist in the liquid. The nanometer bubble fuel oil is obtained. The whole device system does not need high-energy-consumption equipment such as an external air pump and pressurized dissolved air, the structure is compact, the energy consumption is low, liquid of pre-dissolved air is formed only through negative pressure self-suction, and finally the liquid with the high concentration of D50lt is obtained; and therefore, the combustion efficiency can be remarkably improved, and pollutant emission can be reduced.

The invention discloses a novel mixed water-based fuel and a processing method thereof, and belongs to the technical field of fuel preparation. The novel mixed water-based fuel is prepared from the following components in percentage by weight: 30% of water, 25% of heavy aromatics, 20% of base oil, 10% of a catalyst, 10% of a dispersing agent, 3% of an environment-friendly detergent and 2% of a combustion improver. The processing method comprises the following steps: putting the purified water into a stirring container, sequentially adding the heavy aromatics, the base oil and the catalyst, and uniformly stirring; heating to 40 + / -5 DEG C, adding a dispersing agent, and stirring; and cooling, adding the combustion improver and the environment-friendly detergent, and uniformly stirring. The formula is scientific and reasonable, the synergistic effect of all the components is remarkable, and the prepared fuel system is stable, full in combustion, low in pollutant emission and outstanding in energy-saving and environment-friendly effect; the processing method is simple and easy to implement, controllable in operation and high in safety, production conditions are easy to realize, dual requirements of laboratory preparation and large-scale industrial production can be met, and the method has a good application prospect.

The application discloses a kind of regional atmospheric pollutant distribution prediction method and system, comprising: establishing calculation domain to be predicted region, and carrying out grid division;With the data of pollutant measuring point and meteorological measuring point and pollutant emission source intensity as known condition, non-steady-state numerical simulation is carried out, and the data set of global variable on time sequence is calculated;According to the data set of global variable on time sequence, neural network group for pollutant distribution prediction is established and trained;According to the data collected by pollutant measuring point and meteorological measuring point, the pollutant distribution prediction in the region to be predicted is carried out by neural network group.The application carries out a large number of calculations through the numerical simulation of first step, and the grid scale can be much smaller than the grid scale of other commonly used numerical calculations, to provide sufficient and accurate data set for the machine learning prediction of second step, and the data amount and spatial resolution are significantly higher than the existing discrete measurement point method.

The utility model discloses an organic polluted soil thermal desorption synergistic remediation system which comprises an organic polluted soil thermal desorption remediation system, a cement clinker production line, an exhaust fan I, a dust collector I, an exhaust fan II, a calcium hydroxide water tank and a sintered soil reservoir. The organic polluted soil thermal desorption repair system comprises an organic polluted soil thermal desorption system, an organic pollutant dry desulfurization lime powder preparation system and an organic polluted soil thermal desorption fuel preparation system. The utility model relates to the technical field of polluted soil remediation, and the organic polluted soil thermal desorption system shares a set of complete environment-friendly system with the existing dry kiln for normal production, so that the organic polluted soil thermal desorption system has more advantages that firstly, the organic polluted soil thermal desorption system has higher treatment efficiency on harmful waste gas generated in the polluted soil remediation process and can realize ultralow emission; 2, the investment and operation cost of environmental protection equipment of the polluted soil thermal desorption system can be saved; and thirdly, pollutant emission can be managed and controlled in a centralized and unified manner, and pollutant emission sources are reduced.