4233 results about "Incineration" patented technology

A process system and process method for treating hydrogen sulfide-containing acid gas. The process system comprises a sulfur recovery unit, a tail gas treatment unit having an acid gas concentration function, and a flue gas alkaline scrubbing unit. The method comprises: subjecting sulfur-containing tail gas to concentration treatment by means of an absorption column (1) of the tail gas treatment unit, and then introducing same into the sulfur recovery unit to undergo a Claus reaction for separation, so as to obtain sulfur and sulfur recovery tail gas; introducing the sulfur recovery tail gas into the tail gas treatment unit, successively carrying out combustion and hydrotreating, and introducing the obtained gas into the absorption column (1) of the tail gas treatment unit; and in the tail gas treatment unit, introducing gas absorbed by the absorption column (1) into the flue gas alkaline scrubbing unit, and successively carrying out incineration and alkaline scrubbing, so as to discharge desulfurized gas. The content of SO2 in the tail gas treated by the process system is ≤50 mg / Nm3, and the requirements for full-period standard reaching of sulfur dioxide emission of tail gas during startup, shutdown and normal operations can be satisfied.

The embodiment of the invention relates to the technical field of artificial intelligence, in particular to a waste incineration large model domain knowledge self-adaptive extraction method and system based on dynamic confidence evaluation, and the method comprises the steps: carrying out the dynamic word segmentation of preprocessed text data, and obtaining a dynamic word segmentation result; performing domain term confidence analysis according to a dynamic word segmentation result to obtain a dynamic term confidence score; generating a candidate domain term set based on the dynamic term confidence score; screening the candidate domain term set according to a confidence score threshold, and constructing a waste incineration domain knowledge dictionary according to a screening result; the waste incineration domain knowledge dictionary is merged into a preset large model bottom layer dictionary, and a merged knowledge dictionary is obtained; analyzing the target working condition document based on an AI algorithm model corresponding to the merged knowledge dictionary, and generating an operation instruction question and answer pair; and performing parameter fine adjustment on the AI algorithm model by adopting the operation instruction question and answer to obtain a target algorithm model.

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

The invention provides a 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.

The invention relates to the technical field of environmental pollutant detection, in particular to a straw open-air incineration pollutant emission quantitative method based on multi-source data fusion, which comprises the following steps: based on air pollutant monitoring data, calling a sensor network to obtain PM2.5, CO and NOX concentrations, analyzing fire point heat radiation intensity, collecting meteorological data, and calculating the concentration of PM2.5, CO and NOX; and obtaining a pollution source data set by combining the time sequence change of the fire points and the meteorological parameters. By integrating an environment monitoring sensor, satellite remote sensing and ground meteorological data, the comprehensiveness and accuracy of pollution source monitoring are improved, the combination of fire point intensity and pollutant concentration time sequence data is optimized, the evaluation of fire point and pollution hot spot areas and the comprehensive analysis of wind directions and meteorological conditions are optimized, the accuracy of a pollutant diffusion model is improved, and the pollution source diffusion efficiency is improved. The pollutant release amount is dynamically adjusted, and the diffusion model is corrected by using a geographic information system, so that the scientificity of pollution prediction and emission intensity evaluation is enhanced, and more accurate pollution prevention and control decision support is provided.

The embodiment of the invention discloses a waste incineration SNCR precise control method based on a mechanism model and dynamic prediction, and relates to the technical field of waste incineration power plant flue gas denitration. The method comprises the steps that operation parameters of the garbage incinerator are obtained; constructing a mechanism model, namely a thermodynamic-combustion coupling model, and realizing three-dimensional flow field reconstruction and axial temperature field estimation by utilizing a virtual sensing technology and based on an energy conservation equation, a radiation transfer equation and CFD reverse solution and inversion of a flue gas temperature and a flow field velocity vector; combining the mechanism model and actually measured data, optimizing spray gun parameters by using a particle swarm optimization algorithm, and realizing multi-target balance of denitration efficiency and ammonia escape; and the flow, angle and layout of the spray gun are dynamically adjusted according to the optimized parameters. The method is high in denitration efficiency and low in reducing agent consumption.

The invention relates to the technical field of solid waste treatment, in particular to a flotation method and system for waste incineration fly ash decontamination and calcium conservation. The method comprises the steps that waste incineration fly ash is placed in a natural environment to be subjected to a natural carbonation reaction till the pH value is 7-9, pretreated fly ash is obtained and mixed with water, and then a collecting agent and a foaming agent are added for flotation separation; or mixing the waste fly ash by using the sulfuric acid aqueous solution as the flotation liquid, and then adding the collecting agent and the foaming agent for flotation separation; wherein the collecting agent is one or more of butyl xanthate, ammonium dibutyl dithiophosphate and N, N-diethyldithiocarbamate. By means of the method, heavy metal and chlorine salt in the fly ash can be removed, Ca-based components in the fly ash can be reserved, and therefore resource utilization of the waste incineration fly ash is achieved to the maximum extent.

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 provides a garbage power generation optimization method, a storage medium and computer equipment. The garbage power generation optimization method comprises the steps of S1, garbage classification and preliminary data processing; s2, a boxing algorithm is applied, and the garbage is combined and optimized; and S3, the garbage incineration process is monitored, regulated and controlled. According to the invention, heat energy release in each incineration process can be ensured to be maximized; by introducing a heuristic method and combining a boxing algorithm, not only can garbage grouping and combustion strategies be optimized, but also dynamic adjustment can be made according to real-time monitoring data, the incineration efficiency and stability are improved, the stability of heat energy release is ensured, and then the heat energy recovery efficiency is improved; a systematic and global optimization scheme is formed, all links of garbage treatment can be considered, and the overall efficiency is improved; the method can be widely applied to waste incineration power plants, can greatly improve the heat energy utilization rate and the power generation efficiency of the incineration power plants, reduces emission of harmful substances, and improves environmental protection benefits.

According to the method for gradient separation of the heavy metal in the household garbage incineration fly ash, the composition and content of the household garbage incineration fly ash are detected in advance, and grinding pretreatment is conducted on the household garbage incineration fly ash; a plurality of reaction temperature intervals corresponding to various heavy metals in the household garbage incineration fly ash are arranged in a heating furnace, the household garbage incineration fly ash is subjected to multi-stage heating roasting, and chlorine element compounds contained in the household garbage incineration fly ash react with the heavy metals under the high-temperature condition to be volatilized, so that heavy metal chloride gas is obtained; a certain amount of protective gas is introduced into the heating furnace in each reaction temperature interval to prevent the unvolatilized heavy metal chloride from being oxidized, and finally all heavy metals are successfully separated out; a plurality of condensation temperature sections are arranged in the sectional condensation pipe, heavy metal chloride is recycled step by step at different condensation temperatures, and separation and recycling of different heavy metals are achieved; according to the scheme, complex operation procedures can be avoided, energy consumption is reduced, and the method has remarkable economic and social benefits and wide application prospects.

The present invention provides a device and method for the resource utilization of urban waste incineration slag, which relates to the technical field of slag waste recycling. The device for the resource utilization of urban waste incineration slag includes an equipment frame and a crusher installed on the equipment frame. It further includes a flow and precipitation component, a water addition component, and a resource recovery component installed on the equipment frame. The crusher transfers the crushed slag to the water addition component. The water addition component is used to add water to the ash slag and make it flow into the flow and precipitation component. After operation and precipitation, it is then discharged onto the resource recovery component. It also includes multiple groups of stirring components for stirring the slurry in the flow and precipitation component. The device and method for the resource utilization of urban waste incineration slag, by setting the flow and precipitation component, can obtain precipitation within the operation time compared with a fixed sedimentation tank, and can be flipped and dumped, and flushed with high-pressure water, making it easier to clean the internal slurry and preventing blockage.

The invention discloses garbage power generation incineration slag sorting treatment equipment, and relates to the technical field of garbage crushing and sorting, the garbage power generation incineration slag sorting treatment equipment comprises a sorting frame, a feeding hopper is mounted on the sorting frame, a multifunctional crushing chamber is mounted in the middle of one side, away from the feeding hopper, of the sorting frame, and an atomization pouring chamber is arranged below the multifunctional crushing chamber; a sorting chamber is arranged on one side, far away from the multifunctional crushing chamber, of the atomization material pouring chamber; a uniform material distributing mechanism, a layered crushing mechanism and a sorting mechanism are further included; according to the scheme, the impact crushing layer and the rolling crushing layer which are stacked up and down are arranged, brittle slag blocks are rapidly crushed through the high-speed crushing hammer under the impact and shearing effects, metal is prevented from being repeatedly extruded and deformed, meanwhile, metal blocks are gently rolled through low-speed extrusion, the physical form integrity of the metal blocks is kept, and the service life of the metal blocks is prolonged. And compared with a traditional jaw crusher which mixes and crushes the metal and the slag blocks together, the jaw crusher has the advantage that the deformation rate of the iron blocks is reduced.

The invention discloses an intelligent prediction and scheduling management system based on hazardous waste incineration waste heat recovery power generation, relates to the technical field of hazardous waste incineration waste heat recovery power generation, and aims to monitor key parameters such as temperature, pressure, flow and flue gas components in the hazardous waste incineration process in real time, and determine the hazardous waste incineration waste heat recovery power generation through data processing and feature extraction. And the hazardous waste incineration heat value, the waste heat boiler steam production amount and the power generation amount are accurately predicted. Meanwhile, the system combines power grid load change and price fluctuation, realizes intelligent regulation and control of equipment operation and maximization of waste heat recovery efficiency and generating capacity through an optimization scheduling algorithm, can improve energy recovery efficiency to the maximum extent, reduces energy waste, improves economic benefits and environmental sustainability of the system, and has wide application prospects. The power generation benefit can be improved in the field of hazardous waste incineration, and reference can be provided for other industrial waste heat recovery power generation systems.

The invention relates to the technical field of solid waste recycling, in particular to a method for preparing ceramsite through multi-element solid waste co-treatment. The method comprises the following steps: S1, uniformly stirring and mixing waterworks sludge, washing-free waste incineration fly ash, polluted soil and iron tailing slag powder in proportion to obtain a stirred mixture; s2, directly putting the stirred mixture which is uniformly mixed and is in a wet state into a ceramsite drying and granulating kiln, and granulating in the kiln to obtain raw material balls; s3, the raw material balls enter a pyrolysis section in the kiln to be subjected to low-temperature pyrolysis treatment; s4, the pyrolyzed raw material balls enter a calcining kiln to be subjected to high-temperature sintering treatment; and S5, passing the obtained sample through a cooling kiln, and taking out the cooled sample to obtain the multi-element solid waste ceramsite. According to the method, pure solid waste is adopted for preparing the ceramsite, and the links of raw material drying and granulation in traditional ceramsite manufacturing are omitted. The sludge of the waterworks, the waste incineration fly ash, the polluted soil and the iron tailing slag are utilized in a high-valued manner, the energy consumption is low, and less secondary environmental pollutants are generated.

The embodiment of the invention relates to the technical field of image processing, in particular to a garbage incinerator flame combustion situation recognition method based on unsupervised learning. According to the method, the problem of lack of labeling data in flame combustion situation recognition of the garbage incinerator is effectively solved through an unsupervised learning framework; a mutual information maximization objective function driving model is utilized to autonomously excavate essential feature association in a flame image, and a corresponding relation between a combustion state and a visual feature can be established without depending on manual labeling; and hierarchical description of the combustion state is realized through dual-label output of main clustering and super clustering, so that the macroscopic working condition classification capability is reserved, and the microscopic dynamic change characteristics are captured. Visibly, according to the embodiment of the invention, the adaptability of the model to a complex combustion scene is enhanced while the data annotation cost is reduced, and refined monitoring and recognition of the combustion state of the incinerator can be realized.

The invention relates to the technical field of solid waste treatment, and discloses a waste incineration process modeling and optimizing method based on digital twinning, which comprises the following steps: S1, constructing a physical model of a waste incineration process, the physical model comprises geometric structures and physical parameters of equipment such as a garbage incinerator, a waste heat boiler, a flue gas purification system and the like, and a connection relationship among the equipment; s2, collecting real-time data in the waste incineration process, including waste components, feeding amount, combustion temperature, flue gas flow, pollutant emission concentration and the like, and transmitting the data to the digital twin platform by using a data acquisition system; by constructing a highly accurate physical model and combining with a real-time data acquisition system, the operation state of the waste incineration process can be reflected in real time on a digital twin platform. The digital twin model is optimized by using an intelligent optimization algorithm, and optimal operation parameters and control strategies can be automatically searched.

The utility model provides an emission reduction system for producing tetrahydrofuran from 1, 4-butanediol, and relates to the technical field of chemical production equipment. By arranging the 1, 4-butanediol raffinate separation unit, the 1, 4-butanediol raffinate generated in the tetrahydrofuran production unit can directly enter the film evaporator to be separated, the light component 1, 4-butanediol is rapidly evaporated and flows out from the first gas phase outlet, and the light component 1, 4-butanediol is condensed by the gas phase condenser and then returns to the tetrahydrofuran production unit to serve as a raw material to be recycled. And heavy components of tar in the film evaporator flow out from a first liquid phase outlet at the bottom and are discharged and incinerated. The system can further separate the 1, 4-butanediol raffinate generated in the tetrahydrofuran production unit, and recycle the 1, 4-butanediol in the raffinate, so that the material waste of the 1, 4-butanediol is reduced, and the utilization rate of the 1, 4-butanediol raw material is improved. And meanwhile, the 1, 4-butanediol residual liquid discharge incineration treatment amount is greatly reduced, energy conservation and emission reduction are achieved, and the production cost is reduced.

The invention provides a waste incineration digital intelligent system and a construction method. A waste warehouse intelligent management module transmits processed and sorted waste digital information to a waste incineration intelligent control module and a smoke intelligent prediction control module; the garbage incineration intelligent control module feeds back garbage combustion state information to the garbage warehouse intelligent management module and the smoke intelligent prediction control module, and the smoke intelligent prediction control module feeds back data information needing to be changed in garbage combustion to the garbage incineration intelligent management module. And the flue gas intelligent prediction control module feeds back flue gas indexes to the garbage warehouse intelligent management module. A multivariable model prediction control technology fusing AI prediction has the advantages that an AI artificial intelligence control technology machine learning technology is introduced, an expert operation mode and a voting operation method are extracted in a prediction model through historical big data learning and production process learning, and a control scheme is innovative and also has practical applicability.

The invention belongs to the technical field of equipment maintenance prediction, and relates to a garbage incineration equipment predictive intelligent maintenance method combining deep learning and threshold control, in the method, a multi-modal feature extraction technology is adopted, features are extracted from multiple dimensions of a time domain, a frequency domain and a space to form a multi-modal feature tensor, and through a spatio-temporal feature decoupling technology, a multi-modal feature tensor is formed; the method comprises the following steps: decomposing a multi-modal feature tensor into a trend term and a residual term, separating local and global features through a graph attention mechanism to obtain a decoupled feature group, then accurately predicting the residual service life and confidence interval of the equipment by using a double-LSTM network based on the decoupled feature group, modeling the residual feature through a Transform model, and finally obtaining the residual service life of the equipment. Predicting the fault type of the equipment; and then dynamic threshold optimization is introduced, basic thresholds are respectively generated through an Actor-Critic network, and the influence of working condition offset on the thresholds is evaluated, so that the dynamic adjustment of the thresholds is realized, the problem of false alarm or missing alarm caused by a traditional static threshold method is reduced, and the accuracy of maintenance decision is remarkably improved.

The present application provides a domestic sludge self-sustaining incineration process, comprising primary drying, secondary drying, crushing, and incineration, comprising: performing primary drying on domestic sludge by using dry hot air to obtain sludge having a moisture content of 40% to 55%; then performing secondary drying by using hot flue gas produced during incineration to obtain sludge having a moisture content not higher than 20%; further crushing the sludge and mixing the crushed sludge with hot flue ash produced during incineration, and feeding the mixture into an incinerator to undergo self-sustaining incineration at 850°C to 950°C; and performing solid-gas separation on high-temperature flue gas produced after combustion, wherein the obtained hot flue gas is returned back for secondary drying and the obtained hot flue ash is mixed with the crushed sludge. The present application further provides a device for the treatment process. According to the treatment process of the present application, self-sustaining combustion can be safely and stably completed after drying pretreatment is performed on domestic sludge having a high moisture content; no auxiliary fuel needs to be added during incineration, and heat energy of the system can be fully utilized; reduction treatment of domestic sludge can be achieved.

The invention provides an AR inspection method and device applied to a waste incineration station and electronic equipment, and relates to the field of data processing. The method comprises the following steps: acquiring in-station temperature data for a waste incineration station sent by a temperature acquisition sensor; constructing a thermodynamic diagram according to the in-station temperature data; scanning data, sent by the laser radar, of the waste incineration station are obtained; according to the scanning data, constructing an obstacle distribution map; acquiring environment data of the waste incineration station, wherein the environment data comprises gas concentration data and vibration data; generating a dynamic environment model of the waste incineration station based on the thermodynamic diagram, the obstacle distribution diagram, the gas concentration data and the vibration data; according to the dynamic environment model, an inspection strategy of inspection personnel corresponding to the waste incineration station is planned, and the inspection personnel wear AR glasses; and displaying the dynamic environment model and the inspection strategy to inspection personnel through AR glasses. By implementing the technical scheme provided by the invention, the inspection efficiency of the waste incineration station can be improved.

According to the incineration pollution cooperative control method based on multi-target reinforcement learning, a multi-modal sensor array is deployed in a hearth, a flue and a fly ash processing unit, multiple parameters such as combustion temperature and flue gas retention time are collected in real time to construct a high-dimensional dynamic characteristic matrix, and data collection and processing are carried out to meet subsequent model requirements. Based on the dynamic characteristic matrix, defining three types of objective functions of pollutant emission minimization, fly ash metal recovery rate maximization and resource cost minimization, adopting a depth deterministic strategy gradient algorithm to construct a multi-objective reinforcement learning joint optimization model, and taking a combustion air ratio and the like as an action space; and strategy exploration and value evaluation are realized through a dual-network structure. Meanwhile, a priority evaluation module based on fuzzy logic is constructed, the weight coefficient of an objective function is dynamically adjusted according to real-time working conditions, and dynamic weight distribution and multi-objective collaborative optimization control are achieved. According to the method, multiple targets in the waste incineration process can be effectively balanced, the incineration efficiency and the resource utilization level are improved, and pollutant emission is reduced.

The embodiment of the invention relates to the technical field of data processing, in particular to a waste incineration control treatment method and system based on a total waste heat value. According to the embodiment of the invention, the total garbage calorific value label can be accurately and timely determined, so that the accurate and prospective total calorific value is further obtained, and the effective control on the garbage incineration process is further realized. According to the embodiment of the invention, the acquisition of the multi-modal information, the application of the total calorific value prediction model and the generation of the dynamic incineration control strategy are combined, so that not only are the precision and timeliness of the total calorific value prediction improved, but also the refined control of waste incineration can be realized based on the predicted total calorific value, the energy efficiency maximization is ensured as far as possible, and the economic benefit is improved. Meanwhile, stable output of heat energy or electric energy is realized.

The invention discloses a waste alkali liquor incineration treatment and energy recovery system for a propylene epoxidation device, and belongs to the field of energy conservation and environmental protection. Sodium salt in a molten state formed in the incineration process is fully cooled and dried into a solid state through a cold fluid mixing and membrane wall heat transfer coupling cooling technology, solid alkaline residues and alkaline ash formed in the cooling process are captured and conveyed in a closed mode through a sodium salt dispersing and collecting method, energy recovery of incineration heat release is achieved through a multi-effect heat exchange network, and the energy recovery efficiency is improved. By means of the system and method, up-to-standard emission of smoke generated in the incineration process is achieved.

Provided are equipment and methods for intelligent mobile medical waste disposal and flue gas purification, and the equipment includes a vehicle-mounted mobile platform and a skid-mounted standard container; where, the vehicle-mounted mobile platform is composed of a standard semi-trailer truck and a truck carriage base; the vehicle-mounted mobile platform is used for realizing functions of mobile transportation, cargo loading, fuel loading and unloading, power charging and discharging and network information transmission; the skid-mounted standard container is loaded above the truck carriage base of the vehicle-mounted mobile platform; and the skid-mounted standard container consists of a standard container and contents in the standard container; and the contents include: an intelligent collection and transportation feeding system, a medical waste pyrolysis incineration system, an incineration flue gas purification system, and an intelligent management and control system for medical waste disposal.

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 invention relates to the technical field of intelligent monitoring of the waste incineration process, in particular to an intelligent monitoring method and system for the waste incineration process and electronic equipment. The method comprises the following steps: (1) collecting multi-dimensional historical data, and cleaning and normalizing the multi-dimensional historical data; (2) constructing a combustion process model by using a convolutional neural network (CNN) and a recurrent neural network (RNN), and weighting time sequence features through an attention mechanism; (3) introducing a transfer learning technology, and reducing cross-scene distribution difference based on a domain adaptive algorithm; and (4) fusing reinforcement learning to dynamically adjust equipment parameters, and giving consideration to thermal efficiency and pollution suppression targets by a reward function. According to the system, an edge-cloud collaborative architecture is adopted, the edge nodes complete real-time calculation, and the cloud executes model iteration. The incineration stability is remarkably improved, pollutant emission is reduced, and the method is suitable for complex working conditions.

The utility model discloses a closed furnace system for converting household garbage incineration into new energy fuel gas, which comprises an incinerator, a scrubber tower, a cooling filter, an oil smoke and water vapor separation tower, a tar filter and a combustible gas decomposition purifier, the incinerator comprises a furnace body, and an incineration chamber for garbage incineration and a secondary combustion chamber for flue gas heating are arranged in the furnace body. Flue gas is led out from the secondary combustion chamber through a high-pressure induced draft fan and sequentially enters a scrubber tower, a cooling filter and an oil smoke and water vapor separation tower, a calcium carbonate solution is sprayed in the scrubber tower to conduct desulfurization and dust removal on the flue gas, the cooling filter conducts cooling and filtering on the flue gas, and the oil smoke and water vapor separation tower decomposes moisture and tar in the flue gas. The flue gas is sequentially connected into a tar filter and a combustible gas decomposition purifier through a Roots machine, an oil gas filter is arranged in the tar filter to filter tar in the flue gas, and a purification layer is arranged in the combustible gas decomposition purifier to remove foreign gas in the flue gas and purify the flue gas into new energy fuel gas. The method has the characteristic of efficient and environment-friendly garbage treatment.

The invention relates to the technical field of solid waste incineration automatic control, and discloses a solid waste incineration equipment automatic control method and system.The method comprises the steps that real-time data of solid waste components in a hearth are collected, and an initial multi-dimensional parameter set is obtained through preprocessing; calculating a balance point of the heat value and the water content through fuzzy reasoning; when the balance point exceeds a threshold value, parameter interaction influence is predicted, and a multi-dimensional control vector is generated; performing data fusion and historical data matching in combination with real-time incineration process indexes to obtain an enhanced load distribution adjustment factor; carrying out weight comparison based on the adjustment factor and the balance point, judging a load balance influence index, and carrying out matching correction if the index exceeds a compatible threshold value; updating a load distribution scheme according to a correction result, and generating a final operation strategy; and a control instruction is sent through a feedback cycle mechanism and is continuously optimized, so that closed-loop control is realized. The device can adaptively treat dynamic changes of solid waste components, and the incineration efficiency and stability are improved.

The invention relates to a method and equipment for preparing a deacidification agent from household garbage incineration fly ash, and the method comprises the following steps: primary conversion: converting various minerals in the household garbage incineration fly ash into metal carbonate minerals; secondary conversion: converting the obtained metal carbonate minerals into corresponding metal oxides to obtain a high-alkalinity deacidification agent; and optionally, performing three-stage conversion before deacidification application, and hydrating the metal oxide to obtain a deacidification agent with high activity; wherein the household garbage incineration fly ash is generated by performing deacidification treatment on household garbage incineration flue gas; the primary conversion is carried out in an aqueous solution, and a conversion reagent contains water-soluble carbonate and / or water-soluble bicarbonate; the secondary conversion is carried out at a temperature of more than 700 DEG C. According to the method, harmlessness, reduction and recycling of the household garbage incineration fly ash are achieved, environmental release and ecological burden of toxic and harmful substances are prevented, and the technical economic feasibility is good.