4409 results about "Nitrogen oxides" patented technology

Provided is an intelligent operational optimization method in the municipal solid waste incineration process, which belongs to both the field of municipal solid waste treatment and the field of intelligent optimization. The method includes: constructing a sample data set by collecting historical data in the municipal solid waste incineration process; with optimization objectives of nitrogen oxide emissions and combustion efficiency, establishing an SORBF neural network-based indicator model to characterize the mapping relationship between operational variables and optimization objectives in the municipal solid waste incineration process; and setting the established indicator model as evaluation functions of a multi-objective optimization algorithm, and obtaining optimal setting values of the operational variables by the multi-objective particle swarm optimization algorithm, so as to improve combustion efficiency while reducing concentrations of nitrogen oxide emissions.

The invention relates to the technical field of industrial flue gas purification, and discloses a flue gas denitration pollution reduction and carbon reduction method and system based on model prediction control. The method comprises the following steps: collecting flue gas data through a sensor to obtain a flue gas distribution state; the state is processed through a preset model, and a nitrogen oxide concentration predicted value is determined; judging a regulation and control demand based on the predicted value and generating an adjustment coefficient sequence; calculating an opening value of an ammonia spraying distributor by adopting a particle swarm optimization algorithm, and determining ammonia spraying amount distribution; a control instruction is sent according to ammonia spraying amount distribution, and a temperature uniformity index is evaluated based on temperature feedback data; adjusting optimization algorithm parameters according to the indexes, and generating an optimized ammonia spraying strategy; updating the predicted value and determining the stable range of the denitration efficiency; verifying the ammonia escape concentration in the stable range to obtain a system performance index; and forming a continuous regulation and control sequence according to cyclic feedback of the indexes. According to the invention, accurate dynamic regulation and control of ammonia spraying amount are realized, denitration efficiency and system stability are effectively improved, and the risk of ammonia escape is significantly reduced.

The invention relates to a boiler combustion optimization control system of a thermal power plant, relates to the technical field of thermal power generation control, and aims to solve the problems of inaccurate multi-source data perception, slow control response and insufficient multi-target collaborative optimization capability under fire coal quality fluctuation and load change. The system comprises a data perception and fusion module, a working condition self-adaptive identification module, a multi-target dynamic optimization decision module and a distributed execution control module, and through multi-source data acquisition and feature extraction, depth time sequence mode identification, multi-target optimization model solving and distributed coordination control, the multi-target dynamic optimization decision module and the distributed execution control module are subjected to multi-source data fusion. Dynamic balance of boiler heat efficiency improvement and nitrogen oxide emission reduction is achieved, and adaptability and control precision of the system under complex working conditions are enhanced.

The invention provides a nitrogen oxide incineration equipment control method for drying carbonization, which comprises the following steps: acquiring combustion characteristic data of high-humidity sludge blocks in a fluidized bed incinerator, and extracting nitrogen oxide peak intensity, occurrence time, duration and peak shape steep degree to obtain a parameter set; real-time load data of the induced draft fan are obtained, the hearth negative pressure stability fluctuation range is analyzed in combination with the adjustment value, and if fluctuation exceeds a preset safety range, the load adjustment amplitude of the induced draft fan is calculated, and a load adjustment curve is generated; a multi-actuator cooperative control time sequence model is constructed based on the load adjustment curve and the adjustment value, the nitrogen oxide peak generation time and the duration are fused, the cooperative adjustment time sequence of secondary air supply and the draught fan load is calculated, and a control instruction is generated; and a control instruction is transmitted to a fluidized bed incinerator executing mechanism, the opening state of the tuyere and the air volume ratio are adjusted, the load of the induced draft fan is updated, and the adjusted hearth operation parameters are continuously monitored.

A method includes forming a fin structure including first and second sacrificial layers and first and second channel layers over a substrate; forming a dummy gate structure across the fin structure; forming gate spacers on opposite sides of the dummy gate structure; forming first source / drain epitaxial layers on opposite sides of the first channel layer; forming second source / drain epitaxial layers on opposite sides of the second channel layer; removing the dummy gate structure and the first and second sacrificial layers to form a gate trench defined by the gate spacers; forming an oxynitride layer in the gate trench to surround the first channel layer; forming a dipole layer to surround the oxynitride layer; performing an anneal process to drive dipole dopants into the oxynitride layer; and depositing a high-k gate dielectric layer and a work function metal layer in the gate trench to form a gate structure.

According to the dynamic traffic environment monitoring method and device provided by the embodiment of the invention, the mobile sampling of pollutants such as particulate matters, nitrogen oxides and carbon monoxide is realized by constructing a power-assisted bicycle environment monitoring and collecting network. And the cloud computing platform performs abnormal value identification based on time sequence clustering, constructs a pollutant concentration distribution model through a multivariate convolutional neural network, and generates diffusion trend prediction in combination with a pollutant migration model. And intelligent scheduling of monitoring resources is realized by adopting a deep reinforcement learning algorithm, and an optimized inspection scheme is generated according to the pollution risk level, the vehicle position and the electric quantity. According to the method, the defects of the traditional technology in the aspects of monitoring coverage, data analysis, resource scheduling and the like are effectively overcome, and the accuracy and the practical value of traffic environment monitoring are remarkably improved.

The invention discloses a small waste incineration full-automatic control system and method, and particularly relates to the technical field of solid waste treatment.The method comprises the following steps that waste throwing is recognized through infrared induction, a preheating device is started to heat a combustion chamber, and the heating intensity is adjusted in real time; when the temperature reaches a preset threshold value, the air volume, the feeding time and the combustion time are controlled according to the garbage type, and stable combustion is achieved; the concentration of carbon monoxide, nitric oxide and particulate matter in tail gas is monitored in the whole process, and combustion parameters are automatically adjusted when the emission limit value is close; after combustion is finished, slag is automatically discharged according to the amount of slag; meanwhile, temperature and emission data are collected and uploaded to a remote terminal, and full-process intelligent control and environment-friendly management are achieved; the whole-process automatic control is realized, and the manual dependence is reduced; combustion efficiency and adaptability are improved through an intelligent model; an emission prediction and feedback mechanism is introduced to ensure that the tail gas is environmentally friendly and reaches the standard, and the system stability and the intelligent level are enhanced.

The invention discloses a molecular sieve confinement noble metal catalyst for CO-SCR denitration as well as a preparation method and application thereof, and belongs to the technical field of catalytic reduction of nitrogen oxides. The catalyst comprises a molecular sieve carrier and an Ir metal nanocluster loaded in the molecular sieve carrier through confinement encapsulation. The preparation method comprises the following steps: mixing a first metal precursor solution with a first ligand to obtain a first mixed solution; mixing a second metal precursor solution with a second ligand to obtain a second mixed solution; mixing a silicon source, an aluminum source, alkali and a solvent to obtain a molecular sieve precursor solution; and mixing the molecular sieve precursor solution with the first mixed solution, then adding the second mixed solution, carrying out a hydrothermal crystallization reaction, and then carrying out centrifugal washing, drying and calcining to obtain the catalyst. The catalyst has good stability, shows a high nitrogen oxide conversion rate in an atmosphere containing O2 and SO2, and improves the catalytic ability of the catalyst to nitrogen oxides under different conditions.

The invention discloses a denitration system inlet nitric oxide disturbance and super-emission control method and system, and the method comprises the steps: adjusting the operation oxygen amount and the over fire air ratio in real time based on the measured values of the carbon monoxide concentration and the nitric oxide concentration of the denitration system inlet; based on denitration system operation data, combining actual sampling delay time to carry out sample data alignment and construct a training sample set; constructing a prediction model based on the training sample set, obtaining a nitrogen oxide concentration prediction value of the inlet of the denitration system through the prediction model, and updating the prediction model in real time; based on the difference between the average value of the outlet nitrogen oxide concentration of each partition and a set value and the difference between the concentration value of the nitrogen oxide at the outlet of the denitration system and the set value, and by combining the predicted value of the nitrogen oxide concentration at the inlet of the denitration system, treatment measures after the nitrogen oxide concentration super-emission are set in a segmented mode. The control performance of the denitration system can be improved, the ammonia spraying amount is reduced, the ammonia escape concentration is reduced, and the system automation input rate is increased.

The invention discloses a tail gas self-treatment low-emission zero-carbon ammonia hydrogen engine system and a control method, and the tail gas self-treatment low-emission zero-carbon ammonia hydrogen engine system comprises a pure ammonia flameless combustion ammonia decomposition system, a NOx decomposition system, an ammonia hydrogen engine, an air source and an ammonia gas source. The NOx decomposition system utilizes a thermal decomposition technology of nitrogen oxide to realize the reutilization of waste heat of combustion tail gas of the pure ammonia hedging type flameless combustion furnace and decompose the nitrogen oxide in the engine tail gas into nitric oxide, and the ammonia-hydrogen engine utilizes the combustion of the engine to do work, so that the tail gas of the pure ammonia hedging type flameless combustion furnace can be recycled, and the nitrogen oxide in the tail gas of the pure ammonia hedging type flameless combustion furnace can be recycled. Heat utilization of ammonia gas is achieved, and combustion-supporting tail gas needed by the pure ammonia opposite-flushing type flameless combustion furnace is generated.

The invention provides an ammonia escape comprehensive control method for high-concentration NOx flue gas denitration, and relates to the technical field of flue gas treatment.The method comprises the following steps that a multi-stage denitration section system arranged in a flue is built, and each stage of system comprises an ammonia spraying system, a catalyst layer and a heat exchanger behind the ammonia spraying system; temperature measuring points are arranged in front of and behind each stage of catalyst layer and behind the heat exchanger, and the flue gas temperature is monitored in real time; nitrogen oxide concentration monitoring devices are arranged at an inlet and an outlet of each stage of denitration section system; the ammonia spraying system sprays ammonia, the ammonia spraying system is matched with the catalyst layers for staged treatment, the flue gas temperature before and after each stage of catalyst layer and behind a heat exchanger and the NOx concentration in the flue gas at an inlet and an outlet of each stage of denitration section system are collected, an algorithm control system is matched, and the ammonia spraying amount is calculated in combination with flow before each stage of treatment; therefore, the ammonia spraying amount of each stage is accurately controlled in real time, the situation of excessive ammonia spraying is completely eradicated, ammonia gas utilization is maximized, each stage is managed in a partitioned mode, and ammonia is accurately controlled.

The present invention belongs to the field of municipal solid waste management, and also belongs to the field of intelligent optimization. Provided is an intelligent operation optimization method for a municipal solid waste incineration process. The method comprises: collecting historical data in a municipal solid waste incineration process to construct a sample data set; using nitrogen oxide emissions and combustion efficiency as optimization objectives to establish an index model based on a self-organizing radial basis function neural network, so as to characterize a mapping relationship between operation variables and the optimization objectives in the municipal solid waste incineration process; and using the established index model as an evaluation function of a multi-objective optimization algorithm, and using a multi-objective particle swarm optimization algorithm to obtain optimal set values of the operation variables, so as to improve the combustion efficiency while reducing nitrogen oxide emission concentration. In the present invention, an intelligent operation optimization method for a municipal solid waste incineration process is established, such that the combustion efficiency and denitrification efficiency can be synergistically improved, and technical support can be provided for efficient and environment-friendly operation of the municipal solid waste incineration process.

The invention discloses a two-stage SCR urea injection amount control method, device and equipment, and relates to the technical field of engine exhaust aftertreatment. The method comprises the steps that the real-time working mode of an engine is obtained, and the control mode of a front-stage SCR and the control mode of a rear-stage SCR are determined according to the obtained working mode; on the basis of the determined control mode, the preceding-stage SCR and the post-stage SCR conduct corresponding urea injection amount calculation, and control mode switching is conducted according to the working state of the SCR; wherein the control mode of the front-stage SCR comprises an initial mode, a target efficiency mode and a high-efficiency mode, and the control mode of the rear-stage SCR comprises an initial mode and a high-efficiency mode. According to the method, the coordination control state of the two-stage SCR is determined according to the working mode of the engine, nitrogen oxide emission is more effectively reduced for different working modes, meanwhile, the influence of the DPF state on coordination control of the two-stage SCR is considered, and efficient coordination control over the urea injection amount of the two-stage SCR is achieved.

The invention belongs to the field of pollutant control, and particularly discloses a method and system for reducing generation of nitric oxide in the ammonia coal combustion process. The method specifically comprises the steps that liquid ammonia is gasified and then subjected to a thermocatalytic reaction to generate hydrogen and nitrogen, and ammonia-doped mixed gas is obtained; and judging whether the ratio of the concentration of hydrogen to the concentration of ammonia in the ammonia-doped mixed gas is greater than or equal to a threshold value or not, if so, discharging the ammonia-doped mixed gas for blending combustion, and if not, carrying out thermal catalytic reaction on the ammonia-doped mixed gas again. According to the method, the ratio of the concentration of hydrogen to the concentration of ammonia in the ammonia-doped mixed gas serves as the judgment standard for whether blending combustion can be conducted or not, the calculation formula of the threshold value is provided by balancing the influence of H2 and NH3 on NOx generation in the combustion process, then flexible regulation and control can be conducted on the raw material side according to the actual blending combustion condition, and the blending combustion efficiency is improved. The method effectively reduces the generation of nitrogen oxides in the ammonia coal combustion process, does not need to regulate and control the combustion side, does not affect the combustion stability and the boiler thermal efficiency, and has the advantages of simple operation and low cost.

The utility model relates to the field of waste gas treatment, and discloses an electric heating RTO for waste gas treatment, which comprises an upper chamber body, an oxidizing chamber I, an oxidizing chamber II and an oxidizing chamber III are arranged in the upper chamber body, and an electric heater I is arranged between the oxidizing chamber I and the oxidizing chamber II. A second electric heater is arranged between the second oxidizing chamber and the third oxidizing chamber, a cantilever crane is fixedly connected to the upper portion of the upper chamber body, a lower chamber body is arranged at the bottom of the upper chamber body, a valve system is arranged on the front portion of the upper chamber body, and the lower chamber body comprises three heat storage chambers. The upper parts of the three heat storage chambers are fixedly connected to the bottoms of the oxidation chamber I, the oxidation chamber II and the oxidation chamber III respectively. The utility model aims to improve and adopt a modular structure, is convenient to install, optimizes the fluency of the flow channel, ensures the uniformity of the internal temperature, and controls the temperature below 1500 DEG C, so that the emission of nitrogen oxides is avoided, and the treatment efficiency is higher.

The present invention relates to magnetic, catalytically active, and radiosensitizing nanoparticles (NanoXcats) and the method for their production. A method is disclosed for the production of functionalized greigite nanoparticles with a narrowband size distribution (10-30 nm) for use in multimodal cancer therapy. NanoXcats are superparamagnetic Fe3S4 nanoparticles whose surfaces are equipped with polar functional groups. The surface structures of NanoXcats are suitable for conjugation with, or for covalent or electrostatic binding of, active substances, which may be cancer drugs, cell growth inhibitors, or NO donors. Due to the EPR effect, NanoXcats are preferentially internalized by tumor cells. The targeted accumulation of NanoXcats in tumor tissue is achieved by an external inhomogeneous magnetic field. NanoXcats exhibit enhanced catalytic activity in tumor cells.The catalytic activity of intracellular NanoXcats can be triggered, controlled, and enhanced by low-dose X-rays. Surface-bound drugs are additionally activated in tumor cells by the catalytic activity of NanoXcats. NanoXcats act as superoxide dismutase, nitric oxide synthase, and Fenton catalyst. They catalyze, for example, reactions of the superoxide anion radical to hydrogen peroxide, of L-arginine to NO, and of hydrogen peroxide to the hydroxyl radical.

The invention discloses a combustion chamber wall surface pit array structure design method and a combustion chamber. The method comprises the following steps: extracting a three-dimensional fluid model and carrying out bench test; establishing and verifying an in-cylinder combustion and emission simulation model; performing temperature field bench test on the cylinder cover, the piston and the cylinder sleeve; establishing and verifying a heat transfer simulation model; establishing a heat engine coupling simulation model; parameterization design is conducted on the pit array structures on the piston, the cylinder sleeve and the cylinder cover, a collaborative optimization mathematical model of pit array structure design is established, an optimal solution set is obtained, and typical solutions are selected; key parts in the typical solution are machined, an installation test is carried out, and the optimal pit array structure design scheme is obtained through the test. According to the pit array structure obtained through the collaborative optimization design method, the weight of components can be reduced, a turbulent layer can be formed on the near wall face of the combustion chamber to promote oil-gas mixing, then nitric oxide and particulate matter are reduced, and the combustion performance of an engine is improved.

The invention relates to an SSZ-39 molecular sieve and preparation and application thereof.The preparation method comprises the following steps that 1, after water, an alkali source and a template agent are mixed, mesoporous Y zeolite and a silicon source are added, the mixture is stirred to be uniform, and the mixture is aged to be in a white gel shape; (2) transferring the obtained white gel into a reaction kettle, carrying out crystallization treatment, and filtering, washing, drying and calcining a crystallized product to obtain a Na-SSZ-39 molecular sieve; (3) carrying out ammonium ion exchange on the Na-SSZ-39 molecular sieve, filtering, washing, drying and calcining to obtain an H-SSZ-39 molecular sieve; and (4) carrying out copper ion exchange on the H-SSZ-39 molecular sieve, filtering, washing, drying and calcining to obtain the Cu-SSZ-39 catalyst. Aluminum used in the method is provided by mesoporous Y zeolite, the pure-phase SSZ-39 molecular sieve can be synthesized in a wide gel range, the crystallization time is shortened to 24 h, and after copper ion exchange, the pure-phase SSZ-39 molecular sieve shows high denitration activity in the selective catalytic reduction reaction of nitrogen oxide ammonia.

The present invention belongs to the technical field of ceramic waste gas treatment, and in particular, relates to a ceramic waste gas desulfurization and dust removal device, including a desulfurization tower, a wet electrostatic precipitator mechanism and a PLC controller. The desulfurization tower and the wet electrostatic precipitator mechanism are connected through a flue gas conveying channel, and the lower end of the desulfurization tower is fixedly connected to an inlet flue. The present invention adopts a one-stop purification equipment, which occupies a small area and can achieve a good treatment effect on multiple pollution factors such as particulate matter, sulfur dioxide, nitrogen oxides, etc. in the flue gas at one time. The desulfurization process technology is mature, and the desulfurization efficiency is greater than 99%, which can meet the flue gas treatment needs of various capacities. The wet electrostatic precipitator has high efficiency, and uses water spraying to clean the dust on the electrode surface. There is no secondary dust generation, which can ensure that the dust emission concentration at the outlet of the dust collector is ≤5mg / Nm 3 It can better adapt to the current environmental protection management status of the building ceramics industry, has good market promotion value, and has significant environmental and resource benefits.

The invention provides a method for rapidly detecting the content of nitrogen oxides in air. The method comprises the following steps: acquiring original signal data of nitrogen oxides in air in a target detection area in real time through a plurality of nitrogen oxide sensors; performing noise reduction filtering processing on the original signal data to generate target signal data; performing signal drift compensation correction on the target signal data based on a preset sensor calibration model to generate standardized concentration data; performing space-time correlation analysis on the standardized concentration data through a nitrogen oxide concentration prediction algorithm model in combination with environment parameter data collected in real time to generate a target prediction concentration value; and comparing the target predicted concentration value with a preset concentration standard threshold value based on a fuzzy logic judgment algorithm, and constructing a detection report. The whole process from data acquisition to report generation is intelligent, and the detection flexibility is remarkably improved.

The invention discloses a modeling method for single channels of a selective catalytic reduction reactor, a plurality of SCR single channels are arranged in the reactor, a main channel is surrounded by a catalytic coating, a plurality of pore channels are formed in the catalytic coating, ammonia molecules are adsorbed on active sites of a catalyst, and a selective catalytic reduction reaction is carried out on the active sites of the catalyst. The modeling method comprises the steps that S1, an SCR single-channel mathematical model is established, wherein the SCR single-channel mathematical model comprises a component balance equation, a momentum balance equation and an enthalpy balance equation of a gas phase substance in a main channel, a gas phase component balance equation, an enthalpy balance equation, an NH3 coverage balance equation, a component balance equation of a gas phase-coating interface and a gas enthalpy balance equation; s2, giving an initial condition and a boundary condition, limiting part of unknown parameters, and substituting the parameters into each equation to obtain a closed equation set; the model established by the invention can obtain the nitrogen oxide conversion rate, so that the emission reduction performance of the reactor is evaluated. And the influence of mass transfer limitation and mild aging degree of the catalyst is considered, so that the evaluation is more accurate.

The invention belongs to the field of engine aftertreatment systems, and provides a composite two-stage SCR system, a control method, an aftertreatment system.The system comprises a first SCR, a first ASC, a DOC, a DPF, a second SCR, a second ASC, a calculation control unit, an electric heating device, a gas concentration detection unit and an exhaust temperature unit; and the control unit is used for determining a urea injection control strategy of the first SCR and the second SCR and a working strategy of the electric heating device according to the nitrogen oxide concentration and the nitrogen dioxide proportion detected by the gas concentration detection unit and the temperature obtained by the exhaust temperature unit, and respectively controlling the first SCR, the second SCR and the electric heating device to work according to the determined strategies. According to the invention, the cooperative control requirement of ultralow nitrogen oxide emission and nitrous oxide gas emission limitation of the diesel engine can be met.

The invention discloses an efficient pulsating heat pipe air pre-heater gas stove, and relates to the technical field of gas stoves. The air pre-heater comprises an air pre-heater body, a pulsating heat pipe and an air supply pipeline, the pulsating heat pipe is embedded in an inner cavity of the air pre-heater body, and the bottom of the air pre-heater body communicates with the top of the air supply pipeline; the air pre-heater body comprises a heat insulation radiation cavity and an air pre-heating cavity. The heat transfer efficiency of the pulsating heat pipe is far higher than that of traditional metal heat conduction, heat of high-temperature flue gas can be rapidly absorbed, waste heat loss is reduced, the heat efficiency is improved, secondary air is heated through the air preheater, the temperature of the secondary air is increased, the combustion temperature is increased, gas combustion is more sufficient, emission of carbon monoxide and nitric oxide is reduced, and the energy-saving and environment-friendly effects are achieved. The pulsating heat pipe has the unique advantages of being small and exquisite in structure, flexible in arrangement and efficient in heat transfer, and the heat efficiency of the gas stove is effectively improved through the L-shaped pulsating heat pipe heat insulation air pre-heater structure.

The invention provides an ethylene cracking furnace nitrogen oxide emission concentration prediction method and device and a medium, and belongs to the field of petrochemical engineering. The method comprises the following steps: collecting real-time operation data of the ethylene cracking furnace; the real-time operation data are preprocessed, emission concentration key parameters are determined, and cracking furnace thermal load composite variables are constructed; performing parameter optimization on the emission concentration key parameters and the composite variables based on an SEM structure equation model to obtain optimized parameters; and inputting the optimization parameters into a pre-constructed nitrogen oxide emission concentration prediction model for calculation to obtain prediction data. According to the method provided by the invention, the temperature factor variables influencing the emission concentration are combined into the composite variable, and the composite variable can reflect the influence of the fuel and the raw material on the nitrogen oxide, so that the significance of the influence of the temperature influence factors on the thermal nitrogen oxide is improved, and finally, the fitting degree of the model is favorably improved.

The embodiment of the invention discloses a dynamic collaborative optimal selection control method for denitration of a garbage incinerator, and relates to the technical field of garbage incineration treatment. The method comprises the steps that operation parameters, collected in real time, of the garbage incinerator are obtained and preprocessed; based on the mechanism of waste incineration and denitration reaction and in combination with historical operation data, a dynamic model of the denitration process of the waste incinerator is established, and the denitration process is described by adopting an autoregressive moving average model; according to the preprocessed operation parameters and the established dynamic model, the working conditions of the garbage incinerator are recognized and classified in real time; multivariable model predictive control is adopted to make a cooperative control strategy; and outputting the formulated cooperative control strategy to execution mechanisms of the denitration system and the incineration system. According to the method, the denitration efficiency can be improved, nitrogen oxide emission can be accurately controlled, and the ammonia escape rate and the denitration cost can be reduced.

The coal-fired boiler low-load ammonia-doped cracking hydrogen stable combustion system comprises a coal-fired boiler, an ammonia gas generating device, an air premixer and an ammonia gun, the output end of the ammonia gas generating device is connected with the air premixer, the output end of the air premixer is connected with the ammonia gun, and a plurality of ammonia-doped cracking hydrogen modules are sequentially arranged in the middle of the coal-fired boiler. The ammonia-doped hydrogen cracking modules sequentially comprise secondary fans, combustors, ammonia guns and combustors from bottom to top, and the secondary fans are arranged at the upper parts of the ammonia-doped hydrogen cracking modules; the coal-fired boiler is provided with an online oxygen concentration analyzer, a thermocouple temperature sensor, an online hydrogen concentration analyzer, a pressure sensor and a flue gas analyzer which are connected with a controller. According to the invention, the structure of the coal-fired boiler is optimized, the addition amount of ammonia gas is adjusted through the low-load ammonia-doped cracking hydrogen stable combustion method for the coal-fired boiler, and the local oxygen concentration is accurately controlled, so that the overall combustion efficiency and stability are improved, and the emission of nitrogen oxides is reduced.

The invention relates to the field of environment restoration, and discloses a semi-coke ecological system environment restoration method which comprises the following steps: waste gas treatment: treating sulfur-containing gas, nitric oxide and particulate matters generated in semi-coke production by adopting a multi-stage gas purification device, and further purifying residual harmful substances by adopting a low-temperature plasma technology; wastewater treatment: carrying out multi-stage purification on industrial wastewater generated in semi-coke production through physical filtration, chemical precipitation and biological treatment, and carrying out advanced treatment on the wastewater in combination with a membrane separation technology; and solid waste treatment: carrying out high-temperature gasification treatment on solid wastes generated in semi-coke production, recovering energy and using residues for regenerated material production. The comprehensive treatment of various pollutants generated in the production process is realized through the technologies of multi-stage waste gas purification, waste water deep treatment and solid waste resource utilization, and the removal efficiency of sulfur oxides and nitrogen oxides is remarkably improved by the waste gas treatment system through the combination of wet desulfurization and dry desulfurization.

The invention belongs to the technical field of flue gas treatment, and particularly relates to a waste gas treatment device which comprises a moving box and a control panel arranged on the outer wall of the left side of the moving box, a PLC is fixedly connected to the inner wall of the left side of the moving box, and self-locking wheels are fixedly connected to the four corners of the lower side wall of the moving box. When the waste gas treatment device is used for treating waste gas, carbon monoxide, hydrocarbon and nitric oxide in the waste gas can be fully absorbed, so that the problem that the surrounding environment is damaged by the carbon monoxide, the hydrocarbon and the nitric oxide in the waste gas is avoided, and the waste gas of a factory reaches the emission standard; and after the waste gas treatment device works for a long time and the filter assembly is blocked, the filter assembly can be automatically backwashed by using high-pressure airflow, so that particulate matters blocked in the filter assembly fall off, and the adsorption effect of the waste gas treatment device is ensured.

The invention relates to the technical field of flue gas denitration, in particular to a circulating fluidized bed boiler and a boiler system. The circulating fluidized bed boiler comprises a boiler body, a combustion chamber is arranged in the boiler body, a primary air inlet is formed in the bottom of the boiler body, and the combustion chamber comprises a dense-phase area; the air distribution plate is installed in the boiler body, the air distribution plate is located between the primary air inlet and the dense-phase area, and a plurality of air caps allowing airflow to flow into the combustion chamber from the primary air inlet are arranged on the air distribution plate at intervals; the urea spraying mechanism is mounted on the air distribution plate and vertically faces the central area of the dense-phase area; a spraying hole of the urea spraying mechanism is positioned above the air cap, so that a urea solution can be sprayed to the central area of the dense-phase area; the urea spraying mechanism is further arranged to allow airflow to flow into the combustion chamber from the primary air inlet. The circulating fluidized bed boiler can prevent the nitrogen oxide content of the generated flue gas from increasing when the circulating fluidized bed boiler is in a low-load state.

The invention relates to the technical field of flue gas purification, in particular to a nitrogen oxide and dioxin efficient synergistic removal and discharge system which comprises a pretreatment frame and an advanced treatment frame, the pretreatment frame is arranged at the upper end of the advanced treatment frame, and a removal mechanism, a transition air cylinder and an activated carbon storage cylinder are sequentially arranged in the pretreatment frame; local parts of the bottoms of the transition air cylinder and the activated carbon storage cylinder extend into the advanced treatment frame, and a reaction cylinder II is arranged in the advanced treatment frame and corresponds to the activated carbon storage cylinder up and down; the efficient synergistic removal of nitrogen oxides and dioxin is realized through the synergistic treatment of a two-stage layered structure, dynamic mixing deacidification and dynamic adsorption optimization, and meanwhile, the adaptability of equipment to complex working conditions is improved through an adjustable transmission assembly.