194 results about "Boiler efficiency" patented technology

The invention provides a multi-target combustion optimization method based on economic predictive control, and aims to solve the problems that the power generation load and the in-furnace coal quality are frequently changed, conventional DCS control has defects in the aspects of air quantity and oxygen quantity optimization, boiler efficiency balancing, NOx emission, steam temperature control and the like, part of boiler parameters are difficult to accurately measure, and the existing combustion optimization technology is limited in applicability. The method comprises the following steps: collecting and preprocessing historical operation data, classifying and screening according to steady-state working conditions, and constructing a correlation model to perform preliminary combustion optimization; a load and coal quality change prediction model and a combustion process dynamic relation model are established according to unit characteristics and historical data; then, in the online secondary optimization stage, an initial parameter combination is selected according to the current state and the prediction state, and the combustion parameter adjustment amount meeting the multiple constraints is calculated through an economic prediction control algorithm and applied and corrected. Experiments show that the method can improve the boiler efficiency, reduce NOx emission, optimize steam temperature control, relieve the labor intensity of personnel and effectively improve the combustion performance.

The invention provides a boiler master control system, a pressure adjusting method, electronic equipment and a storage medium. The system comprises a signal acquisition module, a differential control module, a pressure deviation adjusting loop and an instruction dynamic compensation loop. Compared with the prior art, according to the embodiment of the invention, the differential action intensity is calculated by utilizing the load change signal, the control valve action signal and the main steam pressure signal, so that the first coal quantity adjustment signal is accurately generated. Load change and pressure fluctuation can be responded in time, it is ensured that the coal quantity is adjusted more accurately, and boiler efficiency fluctuation or fuel waste caused by too much or too little coal quantity is avoided. The pressure deviation adjusting loop performs adjustment based on the deviation of the main steam pressure signal, so that the stability of coal quantity control is further improved; the instruction dynamic compensation loop can effectively predict and adjust the coal quantity according to the dynamic change of the boiler load, the parameters of the unit heat energy storage and the boiler capacity input rate so as to adapt to the dynamic change of the boiler load and capacity.

The invention discloses a machine learning multi-objective optimization control method based on coal quality characteristics and combustion state feedback, and belongs to the technical field of industrial process automatic control. According to the method, collaborative optimization control over the combustion efficiency, NOx emission and combustion stability is achieved under the multi-working-condition operation condition of the combustor. According to the method, coal quality characteristic parameters and combustion state data are collected, working condition clustering is carried out after data fusion, and a historical combustion operation data set coupling coal quality characteristics and combustion states is constructed; a combustion state evaluation model and a combustion control model are established by adopting machine learning, on the basis of identifying working conditions in real time and evaluating combustion performance, a control parameter adjustment amount is generated in combination with trend extrapolation and a multi-objective cost function, and a combustion state feedback rolling correction model and a control strategy are utilized to realize combustion control. The self-adaptive closed-loop collaborative optimization control of the combustion process under multiple coal types and multiple working conditions is realized, the boiler efficiency is improved, the NOx emission is reduced, and the operation robustness is enhanced.

The invention discloses an intelligent combustion adjustment method and system based on power station boiler working condition identification and self-adaptive combustion characteristic model coupling. The intelligent combustion adjustment method comprises the steps that data collection and quality judgment are conducted; multivariable historical data representing boiler combustion characteristics are extracted, and the multivariable historical data are divided into different operation condition combinations with large characteristic differences by adopting a classification algorithm based on the historical data; based on the working condition classification result, modeling is carried out on each working condition group of boiler operation; determining corresponding evaluation indexes for different working condition groups, and establishing a relationship between the evaluation indexes and the sub-working condition prediction model; after the model is put into operation, calculating the precision of the different-working-condition prediction model in real time, and if the precision does not meet a preset condition, triggering automatic remodeling to ensure that the prediction model is matched with the current characteristics of the boiler; aiming at the target function, a multi-target optimization algorithm is adopted to calculate the coal feeding amount of each mill, the primary air amount of each mill, the total oxygen amount and a secondary air door opening degree recommendation value in real time; and instruction output is optimized, so that the boiler efficiency is improved, and pollutant generation is reduced.

The invention discloses a coal-fired boiler intelligent optimization method, system, equipment and medium based on multi-source perception, and belongs to the technical field of thermal power generation, and the method comprises the steps: carrying out the collection of boiler coal data of a coal-fired boiler, and carrying out the feedback compensation; collecting hearth data to reconstruct a combustion field, formulating an optimization control strategy, and constructing an optimization target to perform tail flue multi-component cooperative control; and carrying out dynamic adjustment based on an implementation result of the control strategy, and carrying out real-time monitoring to carry out coking early warning. According to the method, full-closed-loop intelligent control of coal quality perception, combustion optimization and coking prevention and control is formed, and by means of edge calculation layering processing, the boiler efficiency is improved, the power supply coal consumption is reduced and the cost is saved while it is ensured that emission reaches the standard.

The invention provides a household garbage incineration power generation boiler performance improvement flue gas recirculation system which comprises an incinerator, and a primary air mechanism is arranged on one side of the incinerator; a waste heat boiler is arranged on one side of the incinerator, a semi-dry method deacidification tower is arranged on one side of the waste heat boiler, a bag-type dust collector is arranged on one side of the semi-dry method deacidification tower, and an induced draft fan is arranged on one side of the bag-type dust collector; smoke recirculation is matched with low-oxygen combustion, so that the boiler efficiency can be improved, and the boiler evaporation capacity is increased. By means of flue gas recirculation low-NOx combustion, the original generation amount of nitric oxide can be reduced by about 30%, the usage amount of denitration agents at the rear end is reduced, and the production cost is reduced; and meanwhile, the pressure of a rear-end denitration system is reduced, and the emission concentration of nitrogen oxide and ammonia escape can be controlled at a lower level. Flue gas generated after biogas combustion is fed into primary air to be mixed and then fed into a drying section of a lower air chamber of the incinerator to dry garbage, the functionality of biogas combustion heat energy is fully exerted, and the steam consumption of a primary air preheater can be reduced.

The invention discloses a boiler efficiency optimization method based on big data. The method comprises the following steps: S01, carrying out real-time multi-modal data acquisition and verification fusion; s02, performing adaptive data processing and feature engineering on the high-quality data stream, and dynamically adjusting verification depth and frequency; s03, performing dynamic prediction model management and adaptive re-calibration; s04, executing multi-target robust optimization based on dynamic preference, automatically generating preference setting by using a reinforcement learning agent, searching a Pareto optimal solution by using an evolutionary algorithm, and ensuring the security of reinforcement learning; and S05, executing optimization control and fine regulation and control of a specific subsystem. The invention aims to solve the problems of low data quality, poor model adaptability, single optimization target and the like in the prior art, and comprehensively improves the operation efficiency, economical efficiency and intelligent level of the boiler through systematic data processing, self-adaptive modeling, multi-target intelligent decision and fine control.

The invention provides a deep peak regulation method for a coal-fired unit, relates to the technical field of thermal power generation, and can solve the problem of low-load flame shift, stabilize the combustion core and inhibit the fluctuation of NOx emission concentration by dynamically regulating and controlling a combustion field in a boiler. The energy storage system and the boiler are configured for cooperative operation, the energy storage system is used for rapidly transferring / releasing heat energy, the limitation of the heat storage rate of the boiler is broken through, the two-way peak regulation capacity and the regulation speed of the coal-fired unit in the load reducing stage and the load increasing stage can be remarkably improved, and therefore the boiler efficiency is improved under the low load, and the station service power consumption rate is reduced. By constructing an intelligent control system in communication connection with the DCS, automatic control can be realized.

The invention discloses a boiler direct carbon emission intensity correction method and a related device, and relates to the technical field of boiler carbon emission, and the method comprises the following steps: obtaining boiler efficiency, boiler direct carbon emission and boiler output heat obtained by performing an energy efficiency test and a carbon emission test on a boiler under a test condition; calculating a correction coefficient based on carbon in the fuel and a correction coefficient based on sulfur in the fuel based on the analysis value of the element or the component of the test fuel and the analysis value of the element or the component of the reference fuel; based on the boiler efficiency, the boiler direct carbon emission, the boiler output heat, the correction coefficient based on the carbon in the fuel and the correction coefficient based on the sulfur in the fuel, the corrected boiler direct carbon emission intensity corrected to the reference condition is obtained through calculation, and correction of the boiler direct carbon emission intensity when the test condition is inconsistent with the reference condition can be achieved; therefore, scientific evaluation of the carbon emission level of the boiler is realized.

The invention discloses a CNN-ELM-based boiler efficiency soft measurement method and system, and a medium. The method comprises the following steps: step 1, collecting historical operation data; step 2, preprocessing the data; step 3, a CNN-ELM model is constructed; 4, training the CNN-ELM model by using the training set, and determining an optimal network structure and parameter setting; step 5, inputting test set data into the optimized CNN-ELM model, obtaining a prediction result, performing reverse normalization processing, and then analyzing and evaluating the prediction result by using an evaluation function; and step 6, inputting boiler operation data collected in real time into the trained CNN-ELM model, and outputting a dynamic thermal efficiency prediction value. The method can effectively overcome the defects of a single model, achieves the high-precision dynamic measurement of the thermal efficiency of the boiler, and remarkably improves the precision and real-time performance of the measurement of the efficiency of the boiler.

The invention provides a biomass and coal coupled combustion high-efficiency low-nitrogen optimization method and device.The biomass and coal coupled combustion high-efficiency low-nitrogen optimization method comprises the steps that a first characteristic parameter of a target boiler is obtained, a genetic algorithm and a BP neural network are used for constructing a NOx emission prediction model, and the NOx emission prediction model is used for predicting the first characteristic parameter of the target boiler; the NOx emission concentration is output based on the first characteristic parameter; obtaining a second characteristic parameter of the target boiler, building a boiler efficiency prediction model by using a genetic algorithm and a support vector machine, and outputting boiler efficiency based on the second characteristic parameter; constructing a fuel cost model and a denitration cost model based on mechanism analysis, and determining a comprehensive cost calculation model by combining the fuel cost and the denitration cost; based on the NOx emission concentration and the boiler efficiency, the comprehensive cost of the target boiler is obtained through the comprehensive cost calculation model; with the purpose of minimizing the comprehensive cost of the target boiler, boiler operation parameters of the target boiler are optimized, and a parameter optimal set is obtained; and the boiler operation parameters of the target boiler are updated according to the parameter optimal set. Through the method and the device, the relationship among the parameters of the system can be directly mined from the data, and the problems of single boiler operation parameter optimization object and poor effect in the prior art are solved.

The invention discloses a combustion optimization method and device for an ammonia-coal co-combustion boiler, electronic equipment and a storage medium, the method and device are applied to the electronic equipment, and specifically, various parameters of the ammonia-coal co-combustion boiler are obtained, a typical working condition data set is constructed based on the various parameters, and the typical working condition data set comprises a training set and a test set; model training is carried out based on the typical working condition data set, a combustion optimization model is obtained, and the combustion optimization model comprises a boiler efficiency model, a nitrogen oxide prediction model and an optimization model; and real-time operation parameters of the ammonia-coal mixed combustion boiler are input into the combustion optimization model to be processed, optimal operation parameters are obtained, the optimal operation parameters are used as control parameters of the ammonia-coal mixed combustion boiler, and therefore a control system can control the ammonia-coal mixed combustion boiler to operate under the optimal working condition. According to the scheme, mixed ammonia combustion factors are considered on the basis of an original coal-fired boiler, so that optimized operation parameters for the ammonia-coal mixed combustion boiler are obtained, and low-carbon, efficient and environment-friendly operation of the ammonia-coal mixed combustion boiler can be achieved.

The utility model discloses a circulating fluidized bed boiler furnace outlet horizontal flue ash removal device which comprises a furnace, a horizontal flue, a cyclone separator, a high-temperature superheater, a low-temperature superheater, a coal economizer and an ash removal device, one end of the ash removal device is arranged at the bottom of the horizontal flue, and the other end of the ash removal device is arranged at the lower end of the coal economizer. The ash removal device comprises a primary air pre-heater, a conveying air pipe, a conveying air branch pipe and an ash removal module, and the ash removal module is arranged at the bottom in the horizontal flue and comprises a main air pipe, a branch air pipe, a connecting rod and a small air cap. A small part of primary air is led to the bottom of the horizontal flue at the hearth outlet through the bypass pipeline of the primary air pre-heater and enters the ash removal device, accumulated ash accumulated at the horizontal flue at the hearth outlet is loosened and fluidized through the small air cap and then enters the cyclone separator along with flue gas, and therefore the purpose of removing the accumulated ash in the horizontal flue at the hearth outlet is achieved. After accumulated ash is cleaned, the smoke flow speed of a hearth outlet is reduced, and the efficiency of the boiler is improved.

The utility model discloses an ammonia gas heating system capable of improving boiler efficiency. The ammonia gas heating system comprises a combustion boiler, an ammonia gas burner arranged in the combustion boiler, an air preheater communicated with a smoke outlet of the combustion boiler, and a dust remover, a desulfurizing absorption tower and a chimney which are sequentially communicated with the air preheater in the smoke flowing direction. The system further comprises at least one group of flue gas coolers, a closed circulating heat medium water system and an ammonia gas supply system; the multiple smoke coolers are arranged on the upstream of the chimney in a communicating mode and used for supplying heat to the heating medium water system. Ammonia gas supplied by the ammonia gas supply system is heated by the heating medium water system and then enters the ammonia gas combustor to be combusted. Considering that ammonia gas is dangerous, in order to avoid leakage of the ammonia gas, the heating medium water circulation system is arranged to serve as an energy transfer medium, the problems of pipeline corrosion and abrasion possibly caused by direct contact between an ammonia gas pipeline and flue gas are avoided, and therefore the problem of leakage of the ammonia gas is avoided. And the safety and reliability of the whole system are improved.

The invention discloses a catalyst addition test correction method, system, equipment and medium, and belongs to the technical field of power system energy storage equipment, and the method comprises the steps: obtaining boiler operation parameters, and constructing a boiler efficiency model; a load-coal consumption correction curve is generated through the boiler efficiency model in combination with blank period test data and used for correcting load differences; based on the adding period test conditions, the blank period boiler efficiency is corrected, and corrected blank reference coal consumption is obtained; and the heat loss calculation is adjusted by correcting the air inlet temperature, the feed water temperature, the fuel characteristics and the air moisture deviation design value, and the boiler efficiency under the corrected condition is obtained. By correcting key parameters such as the air inlet temperature, the feed water temperature, the fuel characteristics and the air moisture, boiler efficiency fluctuation caused by operation condition differences is eliminated, and the comparability of test results in the blank period and the adding period is ensured.

The utility model relates to the technical field of coal-fired boilers, in particular to a coal-fired boiler capable of supplementing secondary air volume, which comprises a bearing bottom plate, an air volume component arranged above the bearing bottom plate, a control component arranged above the bearing bottom plate, a boiler component arranged above the bearing bottom plate, a primary air box arranged above the primary air box, a secondary air box arranged above the secondary air box and a secondary air box arranged above the secondary air box. The primary air box is fixedly installed on the upper surface of the bearing bottom plate, and a primary fan bin is fixedly arranged on one side of the primary air box. According to the coal-fired boiler capable of supplementing the secondary air volume, through the installation of the air volume assembly, primary air can be generated through a primary air fan motor and fan blades through cooperation of a primary air box, a primary air fan bin and other components, primary air is conveyed through a primary air pipe, and the primary air pipe is connected with a secondary air box; and therefore, the one-to-two effect can be realized by utilizing the allowance of the primary air without increasing any additional energy consumption, and the improvement of the boiler efficiency is facilitated.

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.

An intelligent production scheduling optimization method for environment-friendly power generation waste incineration comprises the steps that S1, according to boiler operation and related data of waste, an objective function and constraint conditions which contribute to maximum total gross benefit (TCM) are established; s2, judging whether the next state of the boiler meets a constraint condition or not according to the related data of the boiler; s3, generating a start-stop scheduling sequence of each boiler; s4, calculating a start-stop sequence and an inventory ratio with maximized revenue; the algorithm is combined with the continuous start-stop period of each boiler, the daily start-stop state is judged and selected, and the loss caused by the fact that the boiler is turned from shutdown to operation is reduced. The boiler efficiency is associated with the inventory ratio, so that the boiler efficiency during incineration is improved, and the heat value of garbage combustion is increased. The data volume for arranging the start-stop state of equipment in a long time period is huge, so that the algorithm greatly reduces unreasonable data by optimizing the generation of a start-stop matrix, and an efficient and economical environment-friendly power plant production scheduling mode is realized by calculating and solving the total contribution gross benefit (TCM) through multiple iterations.

The invention discloses a method for effectively improving boiler efficiency, which relates to the field of industrial automation and intelligent control, and comprises the following steps: collecting real-time operation data, historical operation data and historical maintenance data of a boiler, and preprocessing the data; establishing a combustion control parameter prediction model based on an LSTM learning model, and training the model by using historical data of the boiler; inputting the preprocessed real-time data into the trained prediction model, and outputting a prediction result of the combustion control parameters; adjusting the fuel supply quantity and the air proportion in real time according to a model prediction result; analyzing historical maintenance data and real-time data by using a machine learning algorithm, predicting potential faults and maintenance requirements, and performing preventive maintenance on the boiler according to a prediction result; the maintenance process and result are recorded in detail after maintenance, and the equipment is adjusted and optimized based on the maintenance record. According to the invention, cooperative improvement of boiler operation efficiency, environmental protection and economic benefits is realized.

The invention discloses a boiler oxygen amount self-adaptive optimization method and device and a storage medium. According to the technical scheme, the method comprises the steps that a boiler efficiency model containing undetermined parameters is established; actual operation data are obtained in real time in the boiler operation process, and filtering preprocessing is conducted on the data; updating undetermined parameters of the efficiency model in real time according to the processed data by applying online identification algorithms such as a recursive least square method, and generating a real-time correction model capable of reflecting the current characteristics of the boiler; and finally, on the basis of the real-time correction model, calculating and outputting an optimal oxygen amount set value by solving a multi-objective optimization function giving consideration to energy-saving benefits and equipment loss. Preferably, the method further includes utilizing a predictive model to perform prospective control. Compared with the prior art, the method has the advantages that the accuracy, the robustness and the comprehensive economic benefit of oxygen control are remarkably improved through online self-adaption and prospective optimization of the model.

An air-water mixed cooling type waste heat recovery and dust removal slag conveying system comprises a slag well, a shut-off door which is installed at the bottom of the slag well and used for opening falling slag or closing the shut-off door used for storing the slag, a slag conveyor with the top of the outer side of a horizontal section installed at the bottom of the shut-off door, and a slag crusher installed at the bottom of the lower portion of the tail end of an inclined section of the slag conveyor. The slag conveyor comprises a slag crusher, a slag bin mounted at the bottom of the slag crusher, unloading equipment mounted at the bottom of the slag bin, a dust removal system mounted at the bottom of the unloading equipment, and an air-water mixed cooling system mounted at the tail end of the inclined section of the slag conveyor. The air-water mixed cooling effect is good, slag waste heat is utilized, energy is saved, the heat exchange effect is good, the heat exchange efficiency is high, cooling air is comprehensively regulated and controlled, unloading negative pressure dust suppression is achieved, the boiler efficiency is not affected, the service life of the bag-type dust remover is long, the operation and maintenance cost is low, the atomization effect is improved, and dust fall is achieved. The method can be widely applied to the coal-fired boiler high-temperature slag treatment process, especially the coal-fired power plant boiler high-temperature slag treatment process.

The invention relates to a heat pump coupling frame kit (1) for a hybrid energy transformation device (600). The heat pump coupling frame kit (1) comprises a frame (2) for connecting the heat pump coupling frame kit (1) to a wall and to a boiler unit (500), in particular a boiler frame kit (100). Further provided is a distributor (10) arranged in the frame (2), in particular connected to the frame (2). The distributor (10) comprises at least one load connector set (17, 18) for connecting the distributor (10) with at least one load circuit (300) of an energy system (400), the load connector set (17, 18) comprising a first load connector configured to connect the load circuit of the energy system (400) to an output of the distributor (10) and a second load connector configured to connect a return from the load circuit to the distributor (10); a boiler connector set (15), comprising a first boiler connector configured to connect the distributor (10) to an output line of the boiler unit (500) and a second boiler connector configured to connect the distributor (10) to a return line of the boiler unit (500); and an energy monitoring module (1000) configured to determine a thermal energy production of the boiler unit (500) by: (a) querying the boiler unit (500) via a local connection, bus, or network; and / or (b) determining a first temperature and first flow volume at the first boiler connector, and calculating the thermal energy output of the boiler unit (500) based, at least in part, on the first temperature and the first flow volume, wherein the energy monitoring module (1000) comprises a first temperature sensor and a first flow sensor; and / or (c) determining the first temperature and the first flow volume at the first load connector or at a combined output of the distributor (10) to the at least one load circuit (300), and calculating the thermal energy output of the boiler unit (500) based, at least in part, on the first temperature and the first flow volume, wherein the energy monitoring module (1000) comprises a first temperature sensor (1110) and a first flow sensor (1112); and / or (d) determining the heat demand of the boiler unit (500), and calculating the thermal energy output of the boiler unit (500) based, at least in part, on the heat demand of the boiler unit (500) and a boiler efficiency; and / or (e) determining an energy consumption of the boiler unit (500) and determining the thermal energy output of the boiler unit (500) based, at least in part, on the energy consumption of the boiler unit (500) and the heat boiler efficiency; and / or (f) receiving information from a heat meter via a local connection, bus, or network.

The invention discloses a boiler efficiency correction method considering coal quality change and temperature difference, which is based on the GB / T10184-2015 standard and comprises the following steps of: acquiring coal quality data (industrial analysis and element analysis) and operation parameters of two working conditions before and after a system is put into operation; the coal calorific value average value and the carbon content average value of the comparison working conditions are taken as references; calculating the heat value deviation and the carbon content deviation of the exhaust heat loss correction quantity by adopting a differential deviation method; carrying out ash content and calorific value coupling correction on solid incomplete combustion loss; and finally correcting the boiler efficiency according to the environment temperature difference value + / -10 DEG C. According to the method, the objective comparability of boiler efficiency before and after the intelligent system is put into operation is realized by isolating the interference of coal quality fluctuation and temperature difference.

The invention discloses an offshore platform fuel gas and supercritical carbon dioxide Rankine cycle combined power generation system, and relates to the technical field of offshore platform power generation systems. The problems that an existing thermal power generation technology in which a gas turbine and a steam turbine jointly operate is very low in power generation efficiency and high in carbon emission no matter in the low-temperature heat source field or the high-temperature heat source field are solved. Compressed air is mixed with fuel and combusted, high-temperature and high-pressure flue gas is generated, and a gas turbine is pushed to drive a gas turbine generator to generate power; high-temperature flue gas exhausted by the gas turbine enters the waste heat boiler, heat of the flue gas is used for heating a CO2 working medium in the waste heat boiler to generate high-temperature and high-pressure sCO2, an sCO2 turbine is pushed to drive a turbine generator to generate power, and gas and supercritical carbon dioxide Rankine cycle combined power generation is formed. The exhaust gas temperature of the boiler can be reduced by increasing the inlet smoke temperature of the waste heat boiler, so that the boiler efficiency can be improved after the flue type afterburning device is added, and the purposes of energy conservation and emission reduction are achieved. The invention is suitable for the technical field of offshore power generation.

The invention discloses a crushing turn-off device with a waste heat recycling function and a dry slag system. The crushing turn-off device comprises a mounting frame, a driving device, a crushing device and a circulating water pipeline, and the crushing device comprises two rows of extrusion heads which are oppositely arranged; the circulating water pipeline comprises a plurality of cooling water pipes, a water inlet end and a water return end, the cooling water pipes are arranged below the crushing device, one ends of the cooling water pipes are connected to the water inlet end, the other ends of the cooling water pipes are connected to the water return end, and a water pump is arranged between the water inlet end and the water return end. The slag drying system further comprises a slag well, a slag drying machine, a control system and the like. The circulating water pipeline is arranged in the breaking turn-off device, heat absorption of slag is achieved, recycled waste heat is further utilized, and the heat utilization rate is increased; and meanwhile, water cooling and air cooling are combined, so that the dry slag system better adapts to different working condition requirements, the air inlet rate of the dry slag system can be accurately controlled, and the boiler efficiency is effectively improved.

This utility model discloses a biomass boiler ash removal device with anti-clogging function, comprising: a conveying pipe, one end of which is connected to the boiler, a first pipe extending upwards from the other end of the conveying pipe, and a second pipe extending downwards from the other end of the conveying pipe; and an ash removal structure disposed inside the conveying pipe, which scrapes away the accumulated soot inside the conveying pipe. This utility model can effectively and promptly remove soot, prevent clogging, ensure normal boiler operation, improve boiler efficiency, and reduce the frequency of downtime maintenance.

The invention relates to a thermal power plant boiler efficiency prediction method and system based on cloud computing. The method comprises the steps of collecting historical operation data of thermal power plant boiler operation efficiency; inputting the historical operation data after data preprocessing into a pre-constructed big data model, completing training of the pre-constructed big data model, and obtaining a pre-trained boiler efficiency prediction model; deploying the boiler efficiency prediction model in a cloud production environment; continuously acquiring real-time operation data of the boiler operation efficiency of the thermal power plant; the continuously-collected real-time operation data is subjected to data preprocessing and then input into a pre-trained boiler efficiency prediction model, and a boiler efficiency real-time prediction value is output through the pre-trained boiler efficiency prediction model. The invention discloses a thermal power plant boiler efficiency prediction method based on cloud computing. Based on an anti-balance method, reference efficiency is quickly calculated by using real-time sensor data (exhaust gas temperature, oxygen content and the like).

The utility model discloses a boiler energy efficiency test flue gas sampling device which comprises an assembly, a protection assembly, a wrapping assembly and a pipe body, the protection assembly is arranged at the top end of the assembly, the wrapping assembly is arranged at the tip end of the protection assembly, and the pipe body is arranged on the side of the wrapping assembly. The protection assembly comprises a connecting pipe, an inner cavity channel, a clamping block and a net plate. According to the boiler energy efficiency test flue gas sampling device, the length of the telescopic rod is adjusted through the height of the boiler through pipe and the height of the clamping ring, internal flue gas circulation is facilitated, a heat insulation material is arranged on the outer side of the clamping ring of the boiler through pipe, and heat insulation materials are arranged in the heat-resistant air bag and the heat-resistant cloth in the cover body; leakage is reduced through extrusion of the air bag, due to the fact that the connecting pipe is wrapped in the clamping ring of the boiler through pipe through the tip cover body, built-in smoke circulates through the connecting pipe, the net plate is arranged in the middle, dust in the boiler smoke can be blocked conveniently, and therefore the energy efficiency of the smoke can be efficiently detected.

The invention discloses a boiler slag poking method and device, electronic equipment and a storage medium, and relates to the technical field of boiler slag discharging. And generating a slag poking instruction under the condition that the operation condition of the boiler slag discharge port is blockage. And controlling an automatic slag poking valve to automatically poke slag according to the slag poking instruction. Compared with the prior art, according to the embodiment of the invention, the boiler operation efficiency is effectively improved and the maintenance cost is reduced by acquiring the operation condition of the boiler slag discharge port in real time, generating the slag poking instruction during blockage and controlling the automatic slag poking valve to poke the slag. According to the scheme, smooth deslagging is ensured, the problems of boiler efficiency reduction, energy consumption increase and the like caused by blockage of the deslagging opening are solved, meanwhile, manual intervention is reduced, safety risks are reduced, production continuity and stability are guaranteed, and remarkable economic benefits and safety guarantee are brought to enterprises.

The denitration and dust removal integrated biomass grate boiler comprises a second flue, a third flue and a fourth flue which are sequentially connected with an outlet of a hearth, the lower end of the second flue is communicated with the lower end of the third flue, and the upper end of the third flue is connected with the upper end of the fourth flue through a furnace top turning flue. A first platen superheater is arranged at the upper part of the hearth, a second platen superheater is arranged in the second flue, a coiled pipe superheater is arranged in the third flue, and denitration equipment, an economizer and a tail heating surface are sequentially arranged in the fourth flue according to the flowing direction of flue gas; dust removal equipment is arranged in the furnace top turning flue, and the dust removal equipment and denitration equipment are supported on a boiler body steel frame. The dust removal equipment and the denitration equipment are also arranged in the range of the boiler body, so that compared with the prior art, the lengths of the inlet flue and the outlet flue are greatly shortened, the heat dissipation loss is reduced, the boiler efficiency is improved, and the dust removal and denitration effects can be improved; and the floor area is small, and the construction cost is low.