662 results about "Combustion system" patented technology

The invention relates to the technical field of industrial intelligent control, in particular to a combustion system fault correlation analysis and diagnosis method and system based on a knowledge graph. The method comprises the following steps: constructing a mechanism topological graph of a combustion system, obtaining real-time load data of the combustion system, calculating dynamic conduction lag time of a parent node influencing a child node in the mechanism topological graph based on a fluid mechanics load correction mechanism in combination with a flow resistance correction factor and reference transmission time, performing time sequence alignment based on dynamic conduction delay time, calculating causal association strength of a father node pointing to a child node and performing confidence attenuation processing, performing reverse search on a mechanism topological graph when an abnormal trigger point is monitored, calculating accumulated abnormal energy of each father node based on the causal association strength, and determining the abnormal trigger point according to the accumulated abnormal energy. And determining the father node with the highest accumulated abnormal energy as a fault root cause. According to the scheme of the invention, accurate time sequence alignment under working condition fluctuation can be realized, diagnosis failure can be prevented, and fault root causes can be accurately positioned.

The invention discloses a boiler combustion energy efficiency improving method and system based on digital twinning and a medium, and relates to the technical field of boilers, and the method comprises the steps that design information and historical data of a target boiler combustion system are obtained, digital twinning modeling is carried out, and a digital twinning model is built; key parts are identified based on design information, sensors are deployed, a combustion system sensing assembly is constructed, and real-time combustion state data are collected; constructing a boiler combustion energy efficiency evaluation system, performing multi-dimensional evaluation on real-time data, and determining a current energy efficiency coefficient; and performing energy efficiency improvement control on the target boiler combustion system based on the energy efficiency coefficient through a digital twin model. The technical problems of low combustion efficiency and high energy consumption caused by difficulty in real-time monitoring and optimization of energy efficiency in the boiler combustion process are solved, and accurate evaluation and intelligent optimization control of the boiler combustion state are realized through digital twin modeling and real-time sensing. The combustion energy efficiency of the boiler is improved, the energy consumption is reduced, and the operation stability is ensured.

The invention relates to a chemical looping combustion variable load system based on flue gas recirculation and a control method. The system comprises a chemical looping combustion system and a flue gas recirculation system (7), the chemical looping combustion system comprises an air reactor (1), a fuel reactor (2), an AR cyclone separator (3), an FR cyclone separator (4), an AR material return device (5), an FR material return device (6), an air supply system (8) and a fuel supply system (9). By controlling the flow and temperature of recirculated flue gas of the flue gas recirculating system and cooperatively controlling the opening degree of the conical valve and the circulating flux of the system, the load of the chemical looping combustion system is flexibly adjusted, the energy consumption is reduced, the efficiency is improved, and the operation cost is reduced; and the rest high-temperature flue gas enters a flue gas treatment system to be treated, high-purity CO2 gas is obtained after heat exchange, condensation and purification, and finally efficient combustion of fuel and low-energy-consumption carbon capture are achieved.

The invention discloses a thermal power generating unit main reheating steam temperature wide-load self-adaptive adjusting method and system, relates to the technical field of electric power industry automation and control, and aims at solving the problems that an existing adjusting method is large in steam temperature fluctuation, high in thermal stress and poor in main reheating collaboration under the wide-load working condition. The method comprises the steps of calculating main steam phase saturation and mapping a target value; calculating the maximum change rate based on the thermal physical parameters of the material, and generating a reference track with the limited change rate; the steam phase saturation of the main steam is used as a phase reference, and the reheated steam is controlled to respond according to a preset phase difference; a combustion system, a flue gas temperature adjusting baffle and a temperature reducing water system are cooperatively controlled; the system comprises a vapor phase saturation processing module, a dynamic boundary generation module, a phase coordination control module, an execution mechanism coordination module, a steady state detection module and a mode switching module. Accurate steam temperature adjustment under the wide load is achieved, material thermal stress is reduced, unit operation safety and economical efficiency are improved, and the variable-load operation requirement of the unit is met.

The invention discloses a combustor safety control system for a negative pressure furnace, relates to the technical field of combustion control of negative pressure furnaces, and aims to solve the technical problems that single closed-loop control response of an existing negative pressure furnace combustor is lagged, and the system stability is poor. According to the system, a double-closed-loop control framework of cooperative work of an inner-layer combustion stability closed loop and an outer-layer negative pressure closed loop is constructed, flame characteristic parameters and the gas / air proportion serve as core control objects of the inner-layer closed loop, the opening degree of a gas proportional valve and the rotating speed of a draught fan are adjusted in real time through a PID algorithm, and the combustion state is kept stable; the outer-layer closed loop dynamically adjusts the opening degree of the hearth baffle valve based on the inner-layer adjusting result so as to maintain the negative pressure within a preset range; when any closed loop is abnormal, the system automatically triggers a cross-closed-loop compensation mechanism, and the other closed loop optimizes self-adjusting parameters in real time to realize dynamic compensation. Through double-closed-loop cooperation and abnormal compensation design, the control response speed and operation safety of the negative pressure furnace combustor are greatly improved, the problem of response lag of single closed-loop control is effectively solved, and the method is suitable for safety control of various industrial negative pressure furnace combustion systems.

The invention relates to a flameout control method, system and equipment for a gas heating water heater and a medium. The gas heating water heater comprises a sealed combustion system, a Venturi mixer and a pneumatic gas valve which are sequentially communicated, and a command valve of the pneumatic gas valve is connected to an air purification bin of the sealed combustion system through an air pressure pipe. The method comprises the following steps: in a whole machine debugging stage, setting the pressure of a zero-position adjusting spring of a command valve of the pneumatic gas valve to be a negative value; in the operation stage of the water heater, whether the combustion flame is out of flame or not is determined based on the ratio of the gas flow to the air flow; the pneumatic gas valve is closed by the controller in response to a combustion flame off-flame stall. When the smoke pipe is seriously blocked, the pneumatic gas valve can be closed, so that the whole machine is shut down, and the gas heating water heater is protected.

The invention discloses a mechanism and deep learning model-based dynamic working condition self-adaptive boiler closed-loop combustion optimization control method, system and device and a storage medium, and the method comprises the steps: designing a closed-loop control architecture through a mechanism constraint-data correction fusion modeling strategy and a self-adaptive MPC closed-loop architecture in combination with self-adaptive model prediction control; according to the method, collaborative optimization of combustion efficiency improvement and pollutant emission reduction is achieved, collaborative optimization of boiler combustion efficiency improvement and pollutant emission reduction is achieved, and physical interpretability and dynamic adaptability optimization control are achieved; the problems that a traditional method is poor in physical interpretability, insufficient in dynamic adaptability and low in control precision and the problems that due to strong nonlinearity, multi-parameter coupling and dynamic working condition fluctuation of an industrial boiler combustion system, the control precision is low, the physical interpretability is poor and the dynamic adaptability is insufficient are solved.

The utility model discloses a coal mill powder outlet pipe external bypass powder bin peak regulation system which is installed on a powder outlet pipe at an outlet of a coal mill and comprises a bypass powder bin, a bypass air powder pipe, a powder storage control valve, a powder feeder and an exhaust pipe. A bypass connector, a powder feeding port and an air return port are formed in the side wall of the powder outlet pipe. An air-powder separator is arranged at the top in the bypass powder bin, and an air-powder inlet and an exhaust gas outlet are formed in the air-powder separator; one end of the bypass pulverized coal pipe is communicated with the bypass interface, and the other end is tangentially connected into the pulverized coal inlet; the powder storage control valve is arranged on the bypass interface; a powder feeding inlet and a powder feeding outlet are formed in the powder feeder, the powder feeding inlet is communicated with the bottom of the bypass powder bin, and the powder feeding outlet is communicated with the powder feeding opening; and the other end of the exhaust pipe is communicated with the air return port. The device realizes rapid and accurate dynamic matching of a fuel system and a combustion system, is safe and environment-friendly, has an ingenious, simple and practical structure, and is easy to transform and popularize.

Aiming at the problems of large flue gas nitrogen oxide generation amount, easy exceeding and serious pollution possibly existing in ammonia gas blending combustion, the invention provides an ammonia gas out-of-furnace bypass combustion blending combustion oxidation method, which comprises the following steps: preparing NO2 by virtue of an ammonia combustion system, generating O.free radicals by virtue of photo-thermal cracking of NO2, oxidizing NO in flue gas into NO2, cracking NO2 into N2, removing NO by virtue of NO2, and performing denitration by virtue of denitration, so that the nitrogen oxide in the flue gas is not easily generated. According to the method, SO2 is oxidized into SO3 through O.free radicals, the SO3 reacts with calcium for desulfurization, CO and VOCs are oxidized into CO2 and H2O, collaborative purification of multiple pollutants is achieved, reduction denitration and wet desulfurization are replaced and used for denitration and desulfurization of combustion flue gas and collaborative treatment of the multiple pollutants, and deep pollution reduction, carbon reduction, energy conservation and efficiency improvement are achieved.

The invention relates to the technical field of industrial automation control, in particular to a boiler combustion stability intelligent control method based on a self-adaptive neural network, and the method comprises the steps: collecting multi-source heterogeneous data of a boiler system, the multi-source heterogeneous data comprises a high-frequency vibration data flow and a low-frequency process data flow, carrying out space-time alignment preprocessing on the multi-source heterogeneous data; and calculating a self-adaptive penalty factor based on the current load characteristics and the vibration energy, and performing variational mode decomposition on the high-frequency vibration data stream by using the self-adaptive penalty factor to obtain a combustion characteristic component. According to the method, the gain of the neural network controller is dynamically adjusted through the comprehensive stability risk index, smooth switching of a control strategy between steady-state fine adjustment and fault strong control is achieved, and therefore the fast inhibition capacity for combustion instability is remarkably improved while the steady-state precision of a combustion system is guaranteed.

The invention belongs to the field of boiler waste heat utilization, and particularly discloses an alcohol-hydrogen fuel mixed combustion system utilizing boiler waste heat, which comprises a methanol cracker unit, a methanol supply unit, a methanol cracked gas supply unit, an alcohol-hydrogen burner unit and a smoke exhaust steam supply unit, the methanol cracker unit comprises a methanol cracker, a methanol inlet pipe, a cracked gas outlet pipe, a smoke exhaust inlet flange, a smoke exhaust outlet flange, a methanol shell side area and a smoke exhaust pipe side area, a plurality of heat exchange pipes are uniformly distributed in the smoke exhaust pipe side area, and the methanol inlet pipe is used for connecting the methanol supply unit and the methanol shell side area; the exhaust smoke inlet flange is used for connecting the methanol cracker unit and the exhaust smoke steam supply unit, and the methanol supply unit and the methanol cracked gas supply unit are both used for connecting the methanol hydrogen burner unit and the methanol cracker unit. By means of the self-designed methanol cracker combustion loop, liquid methanol and methanol cracking gas can be combusted at the same time, and the energy utilization rate is greatly increased.

A parameter-setting program operates on an information terminal 50 that may perform wireless communication with a combustion device 10. The parameter-setting program may cause the information terminal 50 to execute: processing to cause, when a parameter is to be set for one combustion device 10, the information terminal 50 or an external storage device to store the parameter inputted into the information terminal 50; processing to cause, when, after the storing, the parameter is to be set for another combustion device, the information terminal 50 to display an option to instruct the information terminal 50 to write the stored parameter into the other combustion device 10; and processing to write the stored parameter into the other combustion device 10 when the option is selected.

A method of blending at least two fuels includes providing at least two fuels to a mixing chamber via a fuel supply system, the fuel supply system including a fuel supply circuit for each fuel of the at least two fuels, mixing, via baffles of the mixing chamber, the at least two fuels to form a fuel mixture, determining, via one or more sensors, a measured interchangeability index of the fuel mixture, comparing the measured interchangeability index to a predetermined interchangeability index, adjusting, via the fuel supply system, one or more parameters of at least one of the at least two fuels based on the comparison between the measured interchangeability index and the predetermined interchangeability index, and providing the fuel mixture to a combustion system.

The invention discloses a silicon steel annealing furnace air-fuel ratio dynamic optimization control method based on multi-mode perception. The method comprises the steps that the oxygen concentration and the carbon monoxide concentration in smoke, the uniformity standard deviation of a hearth temperature field, the high calorific value of fuel gas, the fuel volume flow and the combustion-supporting air volume flow are collected in real time; the current actual air-fuel ratio is calculated according to the flow data; the efficiency index and the state evaluation index of the current combustion system are calculated in real time, dynamic optimization is carried out with the maximum efficiency index and the minimum evaluation index as double targets, and an optimal excess air coefficient set value is solved; the optimal excess air coefficient set value is restrained and compensated; and a combustion-supporting air flow set value is calculated, and a combustion-supporting air door or an adjusting valve is controlled to act after fine adjustment, so that precise control is completed. According to the method, multi-mode sensing is combined with a dynamic optimization algorithm, closed-loop optimization control over the air-fuel ratio is constructed, fine control over the air-fuel ratio is achieved, the response time is shortened, and efficiency and quality are both considered.

The invention discloses an ammonia hydrogen fuel engine combustion system and method, and belongs to the technical field of clean energy, the system comprises a shell, the shell is provided with a combustion chamber, a pre-combustion chamber, an air inlet channel and an exhaust channel, and the pre-combustion chamber, the air inlet channel and the exhaust channel communicate with the combustion chamber; the injection valve set comprises an air inlet channel hydrogen injection valve, a pre-combustion chamber hydrogen injection valve, a direct injection hydrogen injection valve and an air inlet channel ammonia injection valve. The supply assembly comprises a hydrogen supply unit and an ammonia gas supply unit, the ammonia gas supply unit supplies ammonia gas to the combustion chamber through a gas inlet channel ammonia gas injection valve, and the hydrogen supply unit supplies hydrogen gas to the combustion chamber through a gas inlet channel hydrogen injection valve, a pre-combustion chamber hydrogen injection valve and a direct injection hydrogen injection valve; switching of the pure hydrogen premixed combustion mode, the pure hydrogen stratified combustion mode and the ammonia-hydrogen mixed combustion mode is achieved by adjusting the injection valve set and the supply assembly, the problems of abnormal combustion, power reduction and NOX and N2O emission existing on the engine are solved, and the operation stability of the engine is improved.

The invention discloses a boiler blending combustion biomass fuel coupling chemical looping combustion system, and particularly relates to the technical field of fuel control, the system comprises an operation monitoring module, through deploying a multi-type sensor network at a key position, real-time collecting whole flow operation data, constructing a space-time monitoring data set covering the physical and chemical process of a combustion system, and determining a combustion state of the combustion system; the reliability of data acquisition is guaranteed through signal filtering and abnormal value correction; according to the method, a multi-dimensional cooperative control framework is constructed, the six-dimensional influence coefficients are fused into the comprehensive distribution index, the distribution strategy of the fuel between the main combustion area and the chemical looping reactor is dynamically optimized, traditional single control dimension is expanded to multi-dimensional cooperative control, and the adaptability of the system to complex fuel characteristics is improved.

The invention discloses a thermal power plant boiler combustion control method and system, and relates to the field of boiler combustion system control technical equipment. By collecting control loop data of a boiler combustion system in real time, dynamic characteristics, stability and response efficiency of a loop can be analyzed through a multi-dimensional performance evaluation model (including six indexes of steady-state tracking performance, static tracking performance, maximum control deviation, steady-state error, over-limit time and comprehensive tracking performance); based on the evaluation result, the air-coal ratio, the oxygen amount set value and the over-fire air door opening degree are dynamically adjusted through a combustion linkage algorithm, and intervention correction is conducted on set values of loops such as superheat degree control, primary air, secondary air and the coal amount of a coal mill when the performance of the control loop is deteriorated; combining a least square support vector machine to predict NOx concentration and boiler efficiency; and finally, combustion optimization is realized through closed-loop control. The problems that traditional PID control lags behind and loop coordination is poor are solved, boiler efficiency is improved, and pollutant emission is reduced.

The utility model discloses a biomass gas combustion system capable of accurately controlling combustion. The system comprises a biomass gas burner, a biomass gas pipeline connected with the burner, an air blower, an air supply pipeline connected with the air blower and the burner, a tar collecting device in a hearth of the biomass boiler, an oxygen sensor arranged on a smoke exhaust pipeline of the boiler, a controller based on a PLC (Programmable Logic Controller) system, and an air blower frequency converter. Gas component, flow, temperature and pressure measuring devices are arranged on the biomass gas pipeline, and flow and temperature measuring devices are arranged on the air supply pipeline. The controller calculates the oxygen amount needed by biomass gas combustion and the oxygen amount provided by the air blower according to data fed back by the measuring device, and controls the air blower frequency converter to adjust the air amount of the air blower under correction of data fed back by the oxygen sensor on the boiler smoke exhaust pipeline, so that combustion is accurately controlled under the condition of partial load of the boiler, and the combustion efficiency is improved. The combustion efficiency is improved, and the pollutant emission is reduced.

The invention discloses a control method of a combustion system and the combustion system, and belongs to the technical field of combustion control. The control method of the combustion system comprises the steps that fuel gas is controlled to be input into the first-stage combustion module, so that the fuel gas and air in the first-stage combustion module are subjected to mixed combustion, and gas which is not fully combusted enters the second-stage combustion module through flow guide fins; and gas is controlled to be input into the second-stage combustion module, so that the gas is mixed with gas which is not fully combusted in the second-stage combustion module and air in the second-stage combustion module for combustion. According to the control method of the combustion system, the emission amount of harmful gas is reduced, and the combustion heat efficiency of the system is improved.

The invention relates to the technical field of oxygen-enriched combustion safety and flammability limit prediction, and provides a flammability limit value prediction method and application, and the method comprises the steps: obtaining the initial parameters of a gas fuel in a mixed atmosphere of oxygen and carbon dioxide; simulating a combustion process by using an element reaction mechanism, and outputting a curve of component mole fractions changing along with time; the combustion enthalpy change rate under the target atmosphere and the virtual atmosphere is calculated based on the curve, and carbon dioxide in the virtual atmosphere is replaced with virtual gas which has the same thermophysical property but does not have chemical reactivity; respectively calculating combustion heat release, mixture heat absorption and heat radiation; and in combination with the enthalpy change rate and the energy balance equation, the combustible limit value is solved and determined through numerical iteration. By quantifying the chemical effect and thermophysical influence of carbon dioxide, the problem of insufficient precision caused by neglecting the participation of carbon dioxide in reaction and unique thermal property in the oxygen-enriched combustion environment in the existing model is solved, and the method is suitable for the safety design of a combustion system.

The invention belongs to the technical field of clean combustion, and particularly relates to a pulverized coal dense-thin separation and ammonia gas jet flow large-angle reverse blowing direct-current burner and a combustion system, and the direct-current burner comprises an ammonia gas channel, a burner channel and a pulverized coal dense-thin separator; the pulverized coal dense-thin separator is arranged in the combustor channel; the output end of the combustor channel is a thick-thin primary air nozzle, and a separator is arranged in the middle of the thick-thin primary air nozzle; an included angle is formed between the axis of the concentrated-phase primary air back-blowing nozzle and the axis of the combustor channel; the ammonia gas channel is arranged on the side edge of the combustor channel and is arranged close to one side of the concentrated-phase primary air back-blowing nozzle; the output end of the ammonia gas channel is an ammonia gas back-blowing nozzle which forms an included angle with the axis of the combustor channel; the included angle between the ammonia gas back-blowing nozzle and the axis of the combustor channel is larger than the included angle between the axis of the concentrated-phase primary air back-blowing nozzle and the axis of the combustor channel. Compared with the prior art, the problem that a large amount of NOx is easily generated during ammonia-doped combustion of pulverized coal is solved. According to the scheme, ammonia combustion is converted into hydrogen combustion, and high combustion efficiency and environmental protection performance are both considered.

The invention discloses a multi-stage ammonia-doped combustion nitrogen and carbon reduction system for a coal-fired boiler. The system comprises an ammonia supply device and a boiler, the ammonia supply device is arranged on one outer side of the boiler; a pulverized coal burner, a pure ammonia burner, a first-stage ammonia gas multi-nozzle spray gun, a first-stage ammonia-hydrogen mixed gas multi-nozzle spray gun, a flue gas NOX concentration detector, a second-stage ammonia gas multi-nozzle spray gun, a second-stage ammonia-hydrogen mixed gas multi-nozzle spray gun and a platen superheater are arranged in the boiler; the ammonia supply device is respectively connected with the pure ammonia burner, the first-stage ammonia gas multi-nozzle spray gun, the first-stage ammonia-hydrogen mixed gas multi-nozzle spray gun, the second-stage ammonia gas multi-nozzle spray gun and the second-stage ammonia-hydrogen mixed gas multi-nozzle spray gun. According to the invention, the coal-fired unit is subjected to multi-stage blending combustion of ammonia gas and is provided with multi-stage SNCR denitration reaction zones, so that the replacement of zero-carbon fuel ammonia to coal is realized, the requirement on the concentration of nitrogen oxide in front of the inlet of the original SCR device of the unit is met, and a new way is provided for carbon emission reduction of a coal-fired boiler.

The application discloses a low-NOx ammonia fuel combustion system based on plasma combustion support X The generated staged ammonia gas combustion system comprises a high-frequency high-voltage power supply, a dielectric barrier plasma generator, a gas distribution system (a blower and an ammonia storage tank), a combustion chamber and a swirler; the dielectric barrier plasma generator comprises a high-voltage electrode, an insulating medium, a swirler and a ground electrode; and the gas distribution system comprises a blower and an ammonia storage tank. The application utilizes dielectric barrier to generate ammonia gas plasma discharge, reduces the difficulty of ammonia gas combustion and improves the stability of ammonia gas combustion; utilizes the swirler to generate rotating airflow and improves the combustion efficiency; utilizes ammonia gas staged combustion to further reduce NOx emission; and the ideal staged ratio is that the volume ratio of ammonia gas plasma to side wall ammonia gas is 20% (10%-30%), so that the ammonia gas plasma can be fully discharged, and the ammonia sprayed from the side wall can also be fully combusted.

The utility model discloses a biomass forming system and a solid waste gasification melting treatment system. The forming system comprises a stock bin, a briquetting device, a circular mold mechanism and a frame body, the circular mold mechanism comprises a plurality of forming modules and triangular fixing blocks distributed between the adjacent forming modules at intervals. A driving motor is arranged in the frame body; the forming module is a variable cross-section through hole and is formed by splicing symmetrically arranged half-wedge-shaped grooves; the large-section end of the forming module is a feeding hole, and the small-section end of the forming module is a discharging hole. The sectional area of the discharging hole is smaller than that of the feeding hole. The treatment system comprises the biomass forming system, a drying system, a sealed feeding system, a gasification melting system and a combustion system. According to the utility model, the high-strength biomass briquette is obtained and is used for a solid waste gasification and melting treatment system to meet the requirements of a gasification and melting furnace.

The invention relates to the technical field of thermal energy engineering and industrial artificial intelligence crossing, in particular to a boiler combustion multi-target cooperative control method based on PINN and reinforcement learning, which comprises the following steps: collecting boiler combustion related data through a multi-source sensor network, and fusing edge data; based on physical information neural network modeling training, predicting a key physical field in the boiler; constructing and training a reinforcement learning model based on PINN state embedding; and a multi-target cost function is constructed based on the reinforcement learning model, the multi-target cost function is continuously evaluated through the reinforcement learning model, the weight is automatically adjusted, and multi-target cooperative control over boiler combustion is achieved. The method is obviously superior to a traditional scheme in the aspects of physical consistency, adaptive capacity, real-time performance and multi-target cooperation, and a reproducible theory-engineering integrated new normal form is provided for efficient, clean and flexible operation of a coal-fired power plant boiler combustion system under the double-carbon background.

The invention belongs to the technical field of engines, and discloses a multi-mode combustion system of a low-carbon fuel engine and a control method thereof.The multi-mode combustion system of the low-carbon fuel engine comprises a supercharger, an air inlet supercharging cooler, an engine body, a Miller adjusting mechanism and an exhaust gas recirculation (EGR) system, the Miller adjusting mechanism is arranged between the cooled air inlet channel and the engine body, and the engine body is provided with a dual-fuel injector used for injecting ignition fuel and low-carbon fuel into an air cylinder. An exhaust port of the engine body is connected with an exhaust passage, the other end of the exhaust passage is divided into two paths, one path is connected with an exhaust emission pipeline through an exhaust machine inlet of the supercharger, and the other path is communicated to an intercooling rear air inlet passage sequentially through an EGR valve and an EGR cooler. According to the multi-mode combustion system of the low-carbon fuel engine and the control method of the multi-mode combustion system, efficient compression ignition of low-carbon fuel can be achieved, the combustion process is accurately controlled, and soot emission is remarkably reduced.

The present application relates to the technical field of engine, and discloses a combustion system, a gas engine and a combustion system design method, a second fuel injection hole sprays an oil jet to ignite a part of natural gas jets on the same side of the second fuel injection hole, and under the action of a vortex in a combustion chamber, with the second fuel injection hole continuously spraying the oil jet, a flame formed by the oil jet igniting the natural gas jets gradually becomes longer along the vortex direction, so that the oil jet sprayed by the second fuel injection hole ignites the natural gas jets on the side of the natural gas injector opposite to the fuel injector; the oil jet sprayed by the first fuel injection hole ignites the remaining natural gas jets, so that the oil jets sprayed by the fuel injector on both sides of a reference line can achieve the maximum ignition effect, all the natural gas jets are ignited by using the least oil jet, the ignition effect of igniting the natural gas by using the fuel is improved, the thermal efficiency is higher, and the emission is lower.

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 invention provides a fluidized bed combustion system and a combustion method. The fluidized bed combustion system comprises a fluidized bed combustion reaction device and a mild gasification reaction device, the fluidized bed combustion reaction device comprises a dilute-phase region arranged in the middle and a dense-phase region arranged at the lower part; a gas phase outlet of the mild gasification reaction device is connected with a gas phase inlet of the dilute phase zone, and a solid phase outlet of the mild gasification reaction device is connected with a solid phase inlet of the dense phase zone. The system is stable in combustion, high in denitration efficiency, compact in structure, easy and convenient to operate, low in operation cost and suitable for low-nitrogen transformation and new projects of coal and biomass combustion devices, and has good industrial application prospects and popularization value.

The application discloses a boiler blending biomass fuel coupling chemical chain combustion system and concretely relates to the fuel control technical field.The boiler blending biomass fuel coupling chemical chain combustion system comprises an operation monitoring module, a plurality of types of sensor networks are arranged at key positions, whole-process operation data are collected in real time, a time-space monitoring data set covering physical and chemical processes of the combustion system is constructed, and the reliability of data collection is ensured through signal filtering and abnormal value correction; through the construction of a multi-dimensional collaborative control architecture, six-dimensional influence coefficients are fused into a comprehensive distribution index, the distribution strategy of fuel between the main combustion zone and the chemical chain reactor is dynamically optimized, the traditional single control dimension is expanded to multi-dimensional collaborative regulation, and the adaptability of the system to complex fuel characteristics is improved.