51 results about "Boiler control" patented technology

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

The invention relates to the technical field of boiler control, in particular to a multivariable coupling thermal process regulation and control system and method for carbon pollution governing, and the method comprises the steps: collecting multi-source data such as acoustic emission, temperature, humidity and spectrum, and constructing a feature sequence through time mark alignment and wavelet packet enhancement; a heat value characterization quantity is predicted by using a Shenchang differential equation model fused with dynamic gating, a partition equivalent thermal network model is driven on this basis, and accurate prediction of a future time domain temperature field is realized by dynamically correcting thermal resistance and thermal capacity; based on the prediction result, a control instruction is solved through multi-objective optimization under the condition that the active temperature constraint is met; and in combination with heat flow density feedback, a layered reinforcement learning controller is adopted for online compensation of a pre-feedback instruction, and stable and efficient regulation and control of the boiler are achieved.

The invention discloses a boiler flue gas temperature compound control method and system based on multiple regression, and belongs to the field of thermal power generation boiler control. The method adopts a feedforward-feedback composite control structure, and comprises the following steps: generating a feedforward control signal through a pre-trained multiple regression model; meanwhile, based on the deviation between the actual smoke temperature and the target smoke temperature, a feedback control signal is generated through a PID controller; and combining the feedforward control signal with the feedback control signal to generate a final control instruction for coordinating and controlling a first flue gas baffle and a second flue gas baffle on parallel flues at an outlet of a boiler economizer. The baffles are controlled in a coordinated mode, the flue gas flow proportion of different heat exchange degrees is changed, and then the temperature of the mixed flue gas is accurately controlled. The prediction capability of the model and the rectification capability of PID are combined, the response speed and precision of the control system are improved, and the robustness of the system under the variable fuel ratio working condition is enhanced.

According to the fluidized bed boiler control system and the bed pressure self-adaption accurate control method, the control system adjusts the frequency of a flue gas induced draft fan to achieve the stability of the hearth pressure of the fluidized bed boiler, and under the condition that a return feeder is adjusted, the bed pressure self-adaption accurate control method is achieved by controlling the air supply amount of a primary air fan of a combustor at the bottom of the fluidized bed boiler and the fuel amount of a fuel system. And a fuzzy control system deslagging distributor is used for adjusting the operation frequency to carry out deslagging control, so that the bed pressure of the control system can be controlled more quickly, stably and accurately.

The invention discloses a fuel grading time sequence cutting method for a multi-fuel multi-fuel combustion boiler under the FCB working condition of a steel mill, and belongs to the field of power plant boiler control. According to the method, aiming at a hearth 11-section combustor, a multi-fuel collaborative removal strategy is provided, after an FCB is triggered, a fuel target value is set to be 17 t / h coal feeding amount, an AB layer 2 / 4 horn combustion-supporting oil gun and A layer ignition oil are synchronously put into operation, one COG is reserved, the fuel pressure is maintained to be 1.8 MPa for automatic control, and the air volume is locked to be 550 t / h. Fuel cutting adopts four-stage sequential control: 1) cutting off a first layer of emulsion at the same time; (2) the coal mills trip one by one according to the E-D-C-A sequence at the interval of 2 s, and a single coal mill is kept to operate; 3, BFG combustors are cut off in a grouping mode at the interval of 3 s, a diagonal single cutting mode is adopted, and the interlayer interval is 2 s, and 4, COG tripping is conducted in sequence at the interval of 1.5 s, and tail end ignition oil is retained. Dynamic matching of fuel switching and a hearth system is achieved through override control, the combustion stability problem of the low-heating-value BFG is solved, and it is ensured that the total fuel quantity does not exceed the rated load by 30%.

The invention relates to the technical field of boiler control, in particular to an intelligent pre-judgment starting control method for boiler multi-parameter coupling. According to the technical scheme, the intelligent pre-judgment starting control method for boiler multi-parameter coupling comprises a control process of intelligent pre-judgment starting control for boiler multi-parameter coupling; a thermal stress dynamic balance system is constructed through multi-parameter real-time acquisition and an intelligent pre-judgment algorithm, a high-precision temperature / stress sensor array is deployed at key parts of a boiler, thermal expansion coefficients and stress states of all areas are mapped in real time, historical starting data are trained through an LSTM neural network, a thermal stress prediction model is formed, and the thermal stress prediction model is used for predicting the thermal stress of the boiler. A potential stress concentration area is recognized in advance, a dynamic control module adjusts combustor power distribution and cooling water flow according to a prediction result, accurate matching of the temperature rise rate of all the areas is achieved, thermal stress distribution uniformity is improved, metal damage caused by local overheating is avoided, and meanwhile fuel consumption and carbon emission are reduced by optimizing heat exchange efficiency.

The application provides an electric water boiler control device, and relates to the technical field of equipment management. The electric water boiler control device comprises a power supply, a control mechanism and an electric water boiler connected in sequence. The control mechanism comprises a first circuit breaker connected with the power supply, a time control switch connected with an output end of the first circuit breaker, an alternating current contactor connected with a zero line end of the time control switch, and the alternating current contactor connected with the electric water boiler. The time control switch is used for closing a contact point when a current time is in a preset time period, controlling the alternating current contactor to be closed, and making the electric water boiler work under power. In this way, the problem that a traditional electric water boiler cannot be flexibly controlled to be opened and closed according to a user's work period, resulting in energy waste, can be solved.

The application relates to the technical field of gas boiler control, in particular to a gas boiler temperature control method and system, which comprises the following steps: collecting raw material hyperspectral data of a heating and stirring furnace in a lubricating oil preparation process at each moment; obtaining a raw material heating uniformity change coefficient at each moment according to the differences in band reflectivity and spatial distribution characteristics of pixels in the raw material hyperspectral data at each moment; obtaining a heating and stirring furnace temperature adaptation degree by combining the raw material heating uniformity and the raw material heating uniformity change coefficient; and controlling the temperature of the heating and stirring furnace according to the numerical distribution of the heating and stirring furnace temperature adaptation degrees at all moments before the current moment. The application can realize intelligent control of the gas boiler temperature in the lubricating oil preparation process and improve the temperature control precision.

The application provides a kind of operation data analysis method and system of heating system, it is related to building environment and energy application engineering technical field, the method includes: if diagnosis result is no exception, based on the building historical room temperature in multi-source fusion data set, building characteristics and real-time meteorological parameters, generate different operation strategy;Obtain the meteorological prediction data of preset time period;Based on the different operation strategy and meteorological prediction data, the change of heat load demand is predicted by long short-term memory network;Based on the change of heat load demand, with room temperature standard and minimum energy consumption as optimization goal, the target output parameter set value is calculated, and the set value is sent to the boiler control system to execute.The application realizes closed-loop intelligent operation from abnormal accurate diagnosis to demand prediction regulation through multi-source data fusion and real-time analysis, so as to comprehensively improve the reliability, energy efficiency and comfort of heating system.

The invention discloses a chain-grate boiler control method, device and equipment and a medium, and relates to the technical field of chain-grate boiler control. The method comprises the steps that a flame radiation image in a chain-grate boiler is collected through video collection equipment; based on preset flame analysis software, determining a temperature field corresponding to the chain boiler, a live wire length and a current fuel material layer thickness according to the flame radiation image; the length of the live wire is used for representing the range length of a main combustion area of the chain-grate boiler; using a pre-trained material layer thickness prediction model to predict the fuel material layer thickness after the target time according to the temperature field, the live wire length and the current fuel material layer thickness; according to the external thermal load requirement, the temperature field, the live wire length and the fuel material layer thickness after the target time, an adjusting strategy is determined, the fire grate speed, the blast speed and the fuel material layer thickness of the chain boiler are adjusted based on the adjusting strategy, and control over the chain boiler is achieved. Therefore, the problem that the combustion state in the furnace cannot be visually monitored is solved.

To provide an input estimation device and a power generation system that can accurately estimate the input of combustibles into a fluidized bed type boiler by using existing equipment.SOLUTION: An input estimation device 1B estimates the input of combustibles D into a fluidized bed type boiler 1A in a power generation system 1 for generating power by using steam generated by heat exchange with exhaust gas discharged from the fluidized bed type boiler 1A, and comprises: an input unit into which the amount and oxygen concentration of the exhaust gas, the amount and temperature of air flowing into the fluidized bed type boiler 1A, the temperature of feedwater supplied to the fluidized bed type boiler 1A, and the amount of the steam are input; and an estimation unit for estimating the amount of the combustibles on the basis of input values in the input unit.SELECTED DRAWING: Figure 1

Disclosed, in one general aspect, is a boiler controller that includes an input for receiving a boiler water level signal, a screen having a data display that displays information. The data display includes an alphanumeric status indicator area responsive to the water level signal and operative to display status information about the water level signal in alphanumeric format, and a background indicator that extends around the alphanumeric status area and is operative to display a visual treatment that communicates different boiler safety levels. Disclosed in another general aspect is a boiler controller that includes an input for receiving a boiler water level signal and a compound level indicator that includes a vertically extending level-indicating device, a baseline reference level indicator positioned along the vertically extending level level-indicating device, and a visual treatment for the vertically extending level-indicating device that communicates different boiler safety levels. Water level outputs are also disclosed.

The invention discloses an intelligent combustion optimization method and system based on combustion process key parameters, and relates to the technical field of boiler control, a control parameter set needing to be optimized is determined, and a heat value supply evaluation index curve and a combustion efficiency curve are obtained; a curve segment with the calorific value supply evaluation index meeting a preset standard is intercepted, and a corresponding combustion efficiency curve segment and a control parameter sequence group are extracted; based on the quantitative expression of the control parameter sequence grouping and the combustion efficiency curve segment, image conversion is carried out to construct an image expression model, and more dynamic expressions are generated through similarity expansion; and performing matching analysis on real-time control parameters by utilizing the dynamic expression of the expanded image expression model to realize optimization and adjustment. According to the method, the dynamic cooperation mode in the high combustion efficiency state can be accurately mined from complex multi-parameter historical data, a reliable real-time optimization reference basis is provided, the combustion efficiency is effectively improved, and energy consumption and pollutant emission are reduced.

The utility model provides a kind of electrode boiler electrode loss rate monitoring device with loss early warning function, including shell, data processing unit, early warning output unit and power module are arranged in shell, data processing unit is connected with several non-contact thickness detection probes, several non-contact thickness detection probes are distributed along the electrode rod axial length direction, and the distance between probe and electrode rod surface is 1mm-5mm;Non-contact thickness detection probe is fixed by mechanical clamp, the data processing unit is connected with early warning output unit, the early warning output unit is connected to boiler control system by industrial bus, and power module is connected with data processing unit and early warning output unit.The utility model can monitor the loss condition of electrode rod in real time, accurately, and timely issue early warning when loss reaches preset threshold, guarantee the safe and stable operation of electrode boiler.

The invention discloses a self-adaptive precise combustion control system and method for a waste incineration boiler based on digital twinning and AI feedforward, and belongs to the technical field of combustion control of incinerators. The problems that an existing waste incineration boiler is unstable in combustion working condition, large in temperature fluctuation range, unstable in steam yield and parameter and poor in control precision in power generation are solved. The system comprises an online sensing system, a digital twinborn model, an AI feedforward-feedback cooperative controller and a boiler control system. The on-line sensing system detects the physical and chemical characteristics of the garbage fed into the furnace in real time; the digital twinborn model is constructed based on a combustion first principle, and the combustion working condition in the next 3-5 minutes is simulated and predicted in combination with garbage characteristics and the real-time state of a boiler; the AI controller generates an optimal feedforward control instruction through a pre-trained deep reinforcement learning model according to the prediction result, and dynamically adjusts the fire grate speed, the air volume and the auxiliary fuel; and the boiler control system executes the instruction to realize accurate control. The method is suitable for incinerator control.

The present application belongs to the field of boiler control, and particularly relates to an automatic baling biomass boiler fuel gasification coupling control method. The method comprises: extracting raw material activity index and dynamically adjusting baling machine parameters to produce customized fuel; collecting multi-modal data of a gasification furnace and a boiler in real time and constructing a data vector; using a gasification combustion digital twin to calculate the nonlinear coupling relationship between fuel properties and the data vector to generate an optimal operating parameter combination; and using a model predictive control algorithm to issue coordinated control instructions to the fuel forming, gasification, distribution and heat exchange whole chain. The present application realizes source compensation for raw material fluctuations and accurate mapping of dynamic characteristics through whole-process closed-loop control, improves the system comprehensive energy efficiency and load tracking rate, optimizes the safety and environmental performance, and improves the intelligent level of the biomass boiler system.

This invention provides a boiler control device, a power plant, a boiler control method, and a boiler control program that appropriately control the recirculation flow rate and make it usable as regulated power. [Solution] The boiler control device 50 has a switching unit 52 that switches between a once-through operation state and a circulating operation state, which has lower thermal efficiency than the once-through operation state, depending on the load. The switching unit 52 performs switching control to switch from the once-through operation state to the circulating operation state when the load falls below the first load, and when operating in the circulating operation state, it performs control to add a bias flow rate to the feedwater flow rate of the boiler so that the feedwater flow rate is appropriate to the boiler load.

This application discloses a method, apparatus, equipment, and medium for predicting drum water level based on a boiler control system, relating to the field of industrial automation control technology. The method includes: extracting time-series data to be processed and constructing variable features from the data; processing each variable feature using a preset causal relationship analysis tool to determine the lag time corresponding to several determined features; determining the features to be processed based on the lag time of the drum water level, and obtaining delayed variable features using preset delay rules; inputting each delayed variable feature and several target features into an initial drum water level prediction model to obtain a target drum water level prediction model; the target drum water level prediction model is a multi-step time-series prediction model; collecting time-series data and transmitting the collected data to the target drum water level prediction model for drum water level prediction. This improves the accuracy of predicting the drum water level in the boiler.

This invention belongs to the field of boiler steam control and discloses a low-power intelligent controller and control method for dual-boiler steam systems. The method comprises: S1, real-time detection of the temperatures of the preheating boiler and the high-temperature boiler using temperature sensors; S2, performing closed-loop control calculations on the preheating boiler and the high-temperature boiler based on the set steam temperatures to obtain their respective heating power requirements. This low-power intelligent controller and control method for dual-boiler steam systems addresses the problems of uncoordinated control, excessive total power, and significant impact from simultaneous startup that often occur in dual-boiler steam generation systems under limited total power conditions. It enables coordinated operation of the two boilers within the maximum permissible total power range, thus balancing the heating control accuracy, overall power constraints, and timing coordination during execution of the dual-boiler steam system.

The invention belongs to the technical field of boiler intelligent control, and particularly relates to an alcohol hydrogen boiler mixed fuel system and an intelligent control method thereof. Comprising a boiler mixed fuel unit and an alcohol hydrogen boiler measurement and control unit. The boiler mixed fuel unit comprises a methanol box, a boiler burner, a boiler and a boiler controller which are connected in sequence, and the boiler controller is connected with the methanol hydrogen boiler measurement and control unit; a backflow channel is formed between the methanol box and the boiler burner through a methanol return valve; the alcohol hydrogen boiler measurement and control unit is further connected with an alcohol return valve servo motor and an air door opening servo motor. The methanol pump, the methanol cracker and the buffer tank are sequentially connected with the methanol box, and the buffer tank is connected with the boiler burner; a flue gas heat exchange pipeline is arranged between the boiler and the methanol cracker; and the alcohol hydrogen boiler measurement and control unit stores a relational expression between the efficiency coefficient and the temperature in the buffer tank, and is used for correcting the rotating speed of the methanol pump according to the efficiency coefficient so as to compensate the loss of the methanol cracking gas caused by the condensation effect.

The invention provides a boiler fuel optimization control method and system based on flame center height monitoring, and relates to the technical field of boiler automatic control. The method comprises the following steps: shooting flame images and infrared temperature measurement images in a hearth through binocular cameras arranged at a plurality of fire observation holes of a boiler at a plurality of moments in a monitoring period; determining a flame combustion stability index; flame form indexes are determined; determining a flame combustion state index; determining whether the control parameters of the combustor need to be adjusted or not; adjusting parameters of each combustor are determined; the adjusted fuel flow and the adjusted air flow of each combustor are determined; and all the combustors are arranged. According to the method and the device, the flame combustion state index can be determined based on the flame image and the infrared temperature measurement image, whether the control parameters of the combustor need to be adjusted or not is further determined, the control parameters of the combustor in the next monitoring period are determined, the accuracy and the real-time performance of fuel optimization are improved, and the combustion efficiency of boiler fuel is improved.

The invention relates to a boiler main fuel cut-off protection method and system, computer equipment and a storage medium. The method comprises the following steps: for each slurry circulating pump, obtaining a first number of state detection signals of the slurry circulating pump and a current detection temperature of an absorption tower; the state detection signal is generated by the current operation state of the slurry circulating pump, and the current detection temperature comprises the outlet temperature of the absorption tower; according to the state detection signals of the first number of the slurry circulating pumps, the reference state, the current detection temperature and the temperature threshold value of the absorption tower, fault detection is carried out on the desulfurization system, and a fault detection result is obtained; generating a boiler main fuel cut-off request and transmitting the boiler main fuel cut-off request to a boiler control system under the condition that the fault detection result is that the desulfurization system has the fault; the boiler main fuel shut-off request is used for requesting the boiler control system to shut off boiler main fuel supply. Different parts of the desulfurization system are judged by adopting the method, so that the fault detection is more accurate.

The invention relates to an electrode boiler control system which comprises a boiler system and an electrode system, the boiler system and the electrode system are both controlled through a control system, and the boiler system comprises a boiler, a boiler control output system, a boiler control input system and a current and voltage transformer system. The electrode system comprises an electrode, a power semiconductor driver and a power semiconductor module, the electrode system is installed in the boiler, electric energy is converted into heat energy and steam is generated through the electrode system and the filtering system, the control system is further provided with a communication interface, and information can be transmitted to a host in real time to be displayed. The device is simple and reasonable in structure, practical, convenient, safe and stable.

Provided is a boiler system comprising a boiler and a control unit that controls the boiler. The boiler has: a furnace (11) configured from a furnace wall (101) having a heat transfer pipe through which a fluid flows; a combustion device that generates combustion gas by injecting solid fuel and combustion air into the furnace (11); a first temperature detection unit for detecting a first temperature of a lower region (101A), of the furnace wall (101), to which the combustion device is attached; and a second temperature detection unit for detecting a second temperature of an upper region (101B), of the furnace wall (101), that is disposed above the lower region (101A) and to which the combustion device is not attached. The control unit controls the boiler on the basis of the temperature difference between the first temperature detected by the first temperature detection unit and the second temperature detected by the second temperature detection unit.

The utility model relates to a full premix wall-hanging stove self-adjusting structure, it includes wall-hanging stove body and oxygen sensing analysis structure, the wall-hanging stove body includes wall-hanging stove control module, exhaust pipe and communication interface, oxygen sensing analysis structure includes oxygen sensing analysis module, flue gas detection transmission channel and signal transmission channel, one end of the flue gas detection transmission channel is connected with the oxygen sensing analysis module, the other end of the flue gas detection transmission channel is connected with an oxygen sensing probe, the oxygen sensing probe corresponds to the smoke exhaust pipe and is detachably connected to the smoke exhaust pipe, one end of the signal transmission channel is connected with the oxygen sensing analysis module, and the other end of the signal transmission channel is connected with the oxygen sensing analysis module. And the other end of the signal transmission channel is connected with the communication interface of the wall-hanging stove body.

The utility model relates to control panel test technical field especially relates to a kind of railway passenger car electric hot water boiler control panel testing device and system.Railway passenger car electric hot water boiler control panel testing device includes: man-machine interaction module, PLC control module, signal output module, signal acquisition module and signal conversion module;Man-machine interaction module is set on operating panel;PLC control module, signal output module, signal acquisition module and signal conversion module are located in box;PLC control module is connected with man-machine interaction module, signal output module and signal acquisition module respectively;PLC control module is used to output analog signal;Signal output module is connected with the signal input end of the control panel to be tested, and the performance feedback output end of the control panel to be tested is connected with signal acquisition module through signal conversion module.The utility model technical scheme is favorable to improve the performance test efficiency of electric hot water boiler control panel, and is favorable to reduce cost.

The present application belongs to the field of boiler control, and particularly relates to an automatic baling biomass boiler fuel gasification coupling control method. The method comprises: extracting raw material activity index and dynamically adjusting baling machine parameters to produce customized fuel; collecting multi-modal data of a gasification furnace and a boiler in real time and constructing a data vector; using a gasification combustion digital twin to calculate the nonlinear coupling relationship between fuel properties and the data vector to generate an optimal operating parameter combination; and using a model predictive control algorithm to issue coordinated control instructions to the fuel forming, gasification, distribution and heat exchange whole chain. The present application realizes source compensation for raw material fluctuations and accurate mapping of dynamic characteristics through whole-process closed-loop control, improves the system comprehensive energy efficiency and load tracking rate, optimizes the safety and environmental performance, and improves the intelligent level of the biomass boiler system.

The invention belongs to the field of boiler steam control, and discloses a steam double-boiler low-power-consumption intelligent controller and a control method thereof.The control method includes the steps that S1, the temperature of a preheating boiler and the temperature of a high-temperature boiler are detected in real time through a temperature sensor; and S2, according to the set steam temperature, closed-loop control calculation is conducted on the preheating boiler and the high-temperature boiler, and the heating power requirements of the preheating boiler and the high-temperature boiler are obtained. According to the steam double-boiler low-power-consumption intelligent controller and the control method, the problems that under the condition that the total power of a double-boiler steam generation system is limited, double-boiler control is not coordinated, the total power exceeds the limit, and simultaneous starting impact is large are solved, coordinated operation of the double boilers is achieved within the allowable maximum total power range, and the energy consumption of the double boilers is reduced. Therefore, the heating control precision of the double-boiler steam system, the whole machine power constraint requirement and the time sequence coordination in the execution process are considered.

Provided is an industrial boiler control method using statistical data according to changes in combustion stages. A boiler control method according to an embodiment may include: collecting operation data of each boiler with respect to a plurality of boilers; calculating an operation efficiency of each boiler based on the operation data; generating statistical data of each boiler according to changes in combustion stages from the operation data; and controlling a pressure of each boiler to optimize an objective function having the operation efficiency and the statistical data as parameters. Accordingly, efficiencies of boilers may be prevented from being degraded due to frequent changes in combustion stages for the reason of a position connected to a steam header, and ultimately, energy consumption required for operating boilers may be reduced.

The invention relates to the technical field of thermal power plant boilers, and discloses a boiler heating surface temperature optimization adjusting system and method, and the system comprises a threshold module which is used for obtaining the current boiler control parameters, and determining the temperature abnormal threshold of the current boiler heating surface according to the current boiler control parameters; the area module is used for acquiring an infrared image of the heating surface of the boiler and segmenting each temperature area of the infrared image of the heating surface; the calculation module is used for performing deviation and fluctuation analysis on the boiler heating surface according to each temperature region and calculating abnormal parameters of the boiler heating surface according to an analysis result; and the optimization module is used for adjusting the current boiler control parameters according to the abnormal parameters of the boiler heating surface and the abnormal temperature threshold value of the current boiler heating surface to obtain optimized control parameters. The method can accurately detect the temperature abnormity of the heating surface of the boiler, optimizes the control parameters of the boiler, and guarantees the safe and stable operation of a unit.