159 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 present invention discloses a boiler full-process collaborative intelligent control system, which relates to the field of boiler intelligent control, including a data processing module, which acquires multi-dimensional data of boiler operation in real time and performs preprocessing, a feature fusion module, which extracts and fuses features of the preprocessed data to obtain key feature vectors, a boiler prediction module, which establishes a boiler dynamic prediction model based on the key feature vectors and outputs the future operating state of the boiler, and an optimization target module, which establishes a boiler optimization model based on the future operating state of the boiler and generates a boiler optimization target. The present invention can achieve a dynamic balance between environmental protection, energy saving and efficiency through the design of a boiler optimization model, and adjust the optimization weights according to different scenarios to achieve multi-objective collaborative optimization. At the same time, user preferences are introduced to make the optimization target more targeted.

The invention discloses an intelligent soot blowing control method and system in a multi-coal combustion state, and relates to the technical field of boiler control, and the intelligent soot blowing control method comprises the steps that a digital model of a boiler control system is established, and input and output measuring point positions are configured; collecting inlet and outlet flue gas and working medium parameters of each heating surface of the boiler through a sensor; on the basis of the real-time parameters, operation performance indexes of the boiler are calculated; according to the operation performance indexes, monitoring the dirt state, and calculating the cleaning factor, the heat transfer coefficient and the total heat transfer amount of each heating surface; and based on the monitoring result of the soot state, determining the optimal soot blowing time and soot blowing period by using an intelligent algorithm, and automatically controlling the soot blowing operation of each heating surface. According to the intelligent soot blowing control method in the multi-coal combustion state, the operation efficiency of the boiler is improved, the energy consumption is reduced, the service life of equipment is prolonged, meanwhile, the adaptability and stability of the system to the multi-coal combustion state are enhanced, and the overall performance and economic benefits of the boiler are remarkably optimized.

The invention discloses a biomass pyrolysis gasification boiler control system and method, and relates to the technical field of biomass pyrolysis. A material distribution assembly comprises a material storage box and a slope material distribution part arranged below the material storage box, an intermittent material rotating assembly is rotationally installed in the material storage box and engaged with a vertical toothed plate, the intermittent material rotating assembly is used for transferring biomass particles to the slope material distribution part from the material storage box, and a closed material carrying assembly is arranged in a pyrolysis gasification furnace in a sliding mode. The closed material loading assembly comprises a closed lifting disc used for pushing the material distributing assembly to move, and two top sealing plates are installed on the closed lifting disc through torsional springs. According to the invention, the uniform laying and pyrolysis gasification of the next batch of biomass particles on the biomass carrying plate can be realized under the condition of keeping the pyrolysis gasification chamber isolated from external air, so that the non-accumulation type and closed feeding type pyrolysis gasification process of biomass can be realized; a large amount of heat loss caused by convection between air and the pyrolysis gasification chamber in the biomass feeding process can be effectively avoided.

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 relates to the technical field of coal-fired boiler control, in particular to a spectrum detection and intelligent diagnosis collaborative coal-fired boiler combustion optimization control system which comprises a spectrum detection module, and combustion flame spectrum information is collected at preset intervals by means of a fiber optic spectrometer. Collected information is transmitted to a data processing unit, and feature parameters related to the content of key substances are obtained through median filtering, wavelet transform preprocessing and PCA and PLS feature extraction. And the intelligent diagnosis module evaluates the combustion condition in the furnace based on a neural network or a support vector machine model and performs early warning in case of abnormality. And the optimization control module adjusts the air volume of the fan and the rotating speed parameter of the coal feeder according to the diagnosis result to optimize combustion. The display module is controlled to display the data through a graphical interface, and manual operation is supported. According to the system, real-time monitoring, accurate diagnosis and intelligent control are achieved, the combustion efficiency is improved, and pollutant emission is reduced.

The invention belongs to the technical field of coal-fired boiler control, and particularly relates to a system and a method for dynamically regulating and controlling the structural design of a separated coal bunker and the blending combustion proportion of fire coal. According to the method, the correction coefficient is generated through the small-scale blending combustion experiment data, and the initial proportion calculation model is calibrated, so that the proportion design conforms to the theoretical constraint and adapts to the actual combustion characteristics of the coal type, and the theoretical and actual deviation is reduced; combustion efficiency and pollutant emission trend are predicted on line based on a fire coal combustion prediction model, dynamic adjustment of a fire coal blending combustion proportion is realized in combination with a progressive adjustment rule and an extreme working condition response rule, combustion parameter fluctuation is avoided, a verified alternative scheme is called, environmental protection and combustion stability are met, response time is shortened, and the method is suitable for large-scale popularization and application. The reliability in a fault state is improved; by automatically updating the fire coal combustion prediction model, prediction-adjustment-update closed-loop optimization is realized, the regulation and control error is gradually reduced along with the operation time, and the high regulation and control precision is kept for a long time.

The invention discloses a digital control integrated system for an auxiliary workshop of a power plant, and relates to the field of digital control, which comprises the steps of configuring sensor layout and measuring points, acquiring operating parameters based on sensors, acquiring processing parameters based on sensors, acquiring noise data based on sensors, and acquiring parameters of a heat supply system based on sensors. A multi-level sensor arrangement and operation parameter acquisition module, an industrial Ethernet control and multi-protocol interconnection communication module, a dynamic threshold comparison and combined cycle working condition analysis module and a cooperative control and multi-system synchronous scheduling module are configured in a power plant auxiliary workshop. The closed-loop monitoring and secondary correction control module and the historical database archiving and optimization learning module realize unified acquisition, centralized control and intelligent optimization of a gas turbine control system, a steam turbine control system, a waste heat boiler control system, a chemical water treatment control module, an environmental protection monitoring system and a heat supply system adjusting device.

The invention relates to the technical field of boiler control and environmental protection, and discloses a control method for continuously monitoring biomass boiler flue gas, which comprises the following steps: S1, collecting the concentration data of pollutants in the biomass boiler flue gas in real time, the pollutants including carbon monoxide, carbon dioxide, nitrogen oxide and sulfur dioxide; s2, the collected pollutant concentration data are transmitted to a data processing module, the control system for continuously monitoring the biomass boiler flue gas is further provided and used for executing the control method for continuously monitoring the biomass boiler flue gas, and the control system comprises a data collection module, a data processing module and a data processing module, the sensor array is used for collecting temperature, pressure and pollutant concentration data in boiler flue gas in real time through the sensor array. According to the method, real-time data and an optimization algorithm are combined, the pollutant concentration is predicted through Kalman filtering denoising and a multi-factor mathematical model, boiler operation parameters are dynamically adjusted, the energy efficiency is improved, pollutant emission is reduced, and the problems of inaccurate control and slow response in the traditional technology are solved.

The invention belongs to the technical field of industrial boiler control and parameter configuration, and particularly provides a boiler multi-modal data collaborative configuration optimization method based on the industrial internet, and the method mainly comprises the steps: obtaining boiler operation data through the industrial internet; dividing the boiler operation data into operation modal characteristic data and working condition characterization data; generating a boiler parameter optimization relation matrix according to the operation mode characteristic data; performing parameter fusion recombination and cooperative state coding processing on the boiler parameter optimization relation matrix to generate a cooperative configuration parameter set; and outputting a final optimization control instruction set of boiler operation according to the collaborative configuration parameter set and the working condition representation data. The energy efficiency and emission indexes of the boiler can be improved, linkage adjustment of global balance temperature and pressure parameters is achieved, system oscillation and safety conflicts are avoided, the load fluctuation response precision is enhanced through a real-time closed-loop mechanism, stable operation is ensured, and safe, efficient and low-emission collaborative optimization is achieved.

The invention discloses a heat storage high-voltage electrode boiler control system, and relates to the technical field of boiler control. Sensors of different types are installed at a plurality of key positions of the system, and the sensors are used for collecting multi-dimensional data of normal operation samples and scaling samples; recording the working intensity grade and the total working duration grade of the boiler in a normal state in one day, marking each date to obtain a date marking sequence, counting the number from 0 to 8, and if one of the numbers exceeds a number threshold value, starting a boiler electrode scaling risk test; the method comprises the following steps: collecting an overall electricity consumption low-peak period time interval and a real cooling time interval of a city within one day, solving an intersection to obtain a test time interval, training a normal sample and a scaling sample by using an extreme gradient boost tree XGBoost model to obtain a scale layer thickness, calculating a scaling risk score through the scale layer thickness, and obtaining different descaling methods adopted for different grades.

The invention provides an operation data analysis method and system of a heat supply system, and relates to the technical field of building environment and energy application engineering.The method comprises the steps that if a diagnosis result shows that no abnormity exists, differential operation strategies are generated based on building historical room temperature, building characteristics and real-time meteorological parameters in a multi-source fusion data set; obtaining meteorological prediction data in a preset time period; based on the differentiated operation strategy and meteorological prediction data, predicting heat load demand change through a long short-term memory network; and calculating a target output parameter set value by taking the room temperature reaching the standard and the lowest energy consumption as an optimization target based on the change of the thermal load demand, and sending the set value to a boiler control system for execution. According to the invention, through multi-source data fusion and real-time analysis, closed-loop intelligent operation from abnormal accurate diagnosis to demand prediction regulation is realized, so that the reliability, energy efficiency and comfort level of the heat supply system are comprehensively improved.

The invention discloses a gas-steam boiler energy supply efficiency optimization method and system, and relates to the technical field of boiler control, and the method comprises the steps: collecting gas component data in real time, synchronously obtaining boiler operation parameters, and carrying out the data preprocessing of the gas component data and the boiler operation parameters to generate a standardized input matrix; real-time operation data flow of the boiler is obtained and input into the trained neural differential equation prediction model, and a state prediction sequence in a future time domain is obtained through calculation and transmitted to the dynamic optimization controller; in the dynamic optimization controller, a rolling horizon optimization problem is constructed based on a state prediction sequence, a control instruction set is converted into a physical operation quantity, a regulation gas flow, a combustion-supporting air quantity and a water supply flow through an execution mechanism, and after the boiler operation state is updated, actual operation data is fed back to a constraint updating process. Through dynamic coupling physical constraint and data driving, the real-time performance, adaptability and physical consistency of boiler energy efficiency optimization are remarkably improved.

Provided are AI-based optimal operation number control system and method for increasing operation efficiency of industrial boilers. A boiler control method according to an embodiment includes: collecting operation data of boilers; deriving operating boiler combinations by inputting the collected operation data to an AI model that is trained to receive operation data and to derive operating boiler combinations; and controlling operation of the boilers according to the derived operating boiler combinations. Accordingly, by analyzing operating conditions changeable according to a schedule of the field and using the operating conditions for deriving a control value, operation efficiency of industrial boilers are increased.

The invention provides an efficient power plant equipment maintenance robot, and relates to the technical field of power plant equipment maintenance. The efficient power plant equipment maintenance robot comprises a boiler, a control panel, a frame and four first wall-climbing hubs, the four first wall-climbing hubs are arranged at the upper end and the lower end of the rear end of the two side walls of the frame correspondingly, the four first wall-climbing hubs are arranged at the center of the front end face of the boiler, and the control panel is arranged at the position, close to the front portion, of the upper end of the interior of the frame. A base plate is fixedly connected to the rear portion of the center in the frame, a collecting structure is arranged at the front portion of the lower end of the base plate, a storage battery module is arranged in the frame at the upper end of the base plate, a support is arranged at the rear end of the storage battery module, and a sweeping structure is arranged at the upper portion of the rear end in the support. Dust on the boiler is cleaned through the cleaning structure, the thickness and cracks of the side wall of the boiler are detected through the ultrasonic thickness gauge and the eddy current flaw detector, detection is more accurate and rapid, and therefore the detection efficiency is improved.

The invention relates to the field of boiler control, and discloses an ultra-supercritical boiler control method and system with a dynamic overtemperature early warning function. Comprising the following steps: generating a dimensionless dynamic state description set based on boiler design parameters and real-time sensor data; and according to the three-dimensional grid division of the heating surface, when the gradient exceeds a safety threshold, generating an early warning signal carrying a space coordinate, thereby realizing early-stage accurate positioning of the risk. Generating a proportional gain parameter based on the early warning position weight and the overtemperature probability value, and offsetting the execution delay through phase lead compensation; and updating sensor data after executing the instruction, and generating a closed-loop convergence mark when the detection state change rate is lower than a threshold value, thereby realizing control stability verification. According to the invention, the traditional static threshold alarm and manual intervention mode is broken through, the conversion from passive alarm to active suppression is realized, and the pipe explosion risk under the working condition of deep peak regulation is obviously reduced.

The present invention discloses a thermal power generation metering optimization method combined with boiler heat distribution, which relates to the technical field related to thermal power generation. The method includes: receiving boiler control instructions of thermal power generation boilers according to boiler control terminals; simulating and controlling thermal power generation boilers to establish a multivariate distribution model of boilers; evaluating boiler control schemes according to boiler power generation fitness metering channels; judging whether boiler power generation fitness is less than boiler power generation fitness threshold; if less than, optimizing and adjusting the boiler control schemes to generate boiler control optimization strategies; sending the boiler control optimization strategies to boiler control terminals, and the boiler control terminals perform thermal power generation according to the boiler control optimization strategies. The method solves the technical problems existing in the prior art that the boiler control mode is single and the control strategy cannot be dynamically optimized according to the heat distribution, resulting in inaccurate power generation metering and low power generation efficiency, and achieves the technical effect of improving the accuracy of thermal power generation metering and boiler operation efficiency.

The invention relates to a header system boiler coordination control system and method. The control system comprises a pressure control module, a flow control module, a boiler control module, a combustion control module, a collection processing module, a model prediction module and a generation module. The pressure control module calculates a deviation value between real-time pressure and a preset pressure value, the flow control module distributes steam flow of each sub-pipe based on the deviation value, and the boiler control module and the combustion control module are respectively responsible for calculating target boiler fuel quantity according to the steam flow. And boiler load parameters are adjusted to generate corresponding steam flow, so that stable pressure control on the mother pipe can be realized, the mother pipe reaches a pressure balance state, the automation level and the operation efficiency of the mother pipe system boiler coordination control system are improved, potential safety hazards and production cost are reduced, and the production efficiency is improved. Accurate control and quick response of the steam pressure of the boiler main pipe are achieved.

The invention discloses a coal-fired boiler steam temperature optimization control system and method based on digital twinning, and relates to the technical field of boiler control. Operation data of a coal-fired boiler are collected in real time, the operation data are input into a three-dimensional structure diagram of the coal-fired boiler to mark a high-temperature area in the boiler, and the area of the high-temperature area is obtained; calculating a to-be-adjusted angle and a test radius of the desuperheater nozzle; through the cooling process of the high-temperature area of the model, a desuperheater is accurately controlled to spray cooling water, and it is ensured that the temperature of the high-temperature area is reduced to be within a safe range; steam temperature fluctuation and heat efficiency reduction caused by overall cooling can be effectively avoided, and the operation efficiency and stability of the boiler are improved; through intelligent alarming and automatic adjusting functions, manual intervention is reduced, adaptability is high, cooling parameters can be adjusted in real time according to boiler load changes, and it is ensured that the steam temperature can be effectively controlled under different working conditions.

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.

The invention provides an intelligent operation control system and method for a waste heat boiler, and belongs to the field of boiler control, and the intelligent operation control system comprises a boiler water supplementing subsystem which is used for continuously supplementing water and adjusting the liquid level of a heat balance storage tank; the steam heating subsystem is used for heating boiler water and adjusting the temperature; the boiler water circulation subsystem is used for carrying out circulation heat exchange and adjusting pressure; the automatic control subsystem is used for collecting a liquid level signal, a temperature signal, a pressure signal and system operation working condition parameters of the heat balance storage tank in real time, and carrying out working condition self-adaptive weight distribution and multi-loop coordination control based on the liquid level signal, the temperature signal, the pressure signal and the system operation working condition parameters; and multivariable abnormal evaluation and hierarchical protection control are carried out on the operation state of the waste heat boiler. The operation stability and control precision of the waste heat boiler are improved, temperature overshoot and unnecessary protection shutdown are reduced, and the service life of equipment is prolonged.

The invention relates to the technical field of intelligent energy-saving control, in particular to an energy-saving high-voltage electrode vacuum boiler and an intelligent control system of the energy-saving high-voltage electrode vacuum boiler. The control system is connected with the temperature sensor, the flow sensor, the pressure sensor and the vacuum pump; the water supply pipe is connected with the vacuum boiler; the pressure sensor is connected with the vacuum boiler and the control system; the vacuum boiler is connected with the pressure sensor, the water supply pipe, the flow sensor and the vacuum pump; the vacuum pump is connected with the vacuum boiler and the control system; and the flow sensor is connected with the vacuum boiler and the control system. Closed-loop feedback is formed through the control system, real-time optimization of operation parameters of the vacuum boiler is achieved, the comprehensive benefits of improving heat efficiency, reducing energy consumption, adapting to load fluctuation and prolonging the service life of equipment are achieved, and the automation level, reliability and safety of the vacuum boiler are remarkably improved.

The present application discloses a control method for a gas wall-mounted boiler and a gas wall-mounted boiler adopting the control method. The gas wall-mounted boiler has only one air pressure switch and the blower has two operating states. The control method includes the following steps: in the startup stage of the gas wall-mounted boiler, the blower operates at the pre-purging wind speed and enters the first monitoring mode; and after confirming that the gas wall-mounted boiler is suitable to enter the continuous operation stage, it enters the second monitoring mode; wherein, in the first monitoring mode, only the information of the air pressure switch is monitored, and in the second monitoring mode, the information of the air pressure switch or the information of the ion sensor is monitored according to the current operating state of the blower.

The utility model discloses a multifunctional egg boiler which comprises a base, a warm cup mat mechanism and an egg boiler body, wherein the warm cup mat mechanism and the egg boiler body are arranged on the base. The egg boiler body comprises an egg boiler shell, an egg boiler control panel arranged on the side face of the egg boiler shell, a heating device arranged at the bottom of the inner side of the egg boiler shell, a temperature sensing probe arranged on the side face of the heating device and a supporting tray. The cup warming mat mechanism comprises a cup warming mat mechanism body and a cup warming mat mechanism control panel arranged on the front side of the cup warming mat mechanism body. The cup warming mat mechanism and the egg boiler body are independently controlled and do not interfere with each other, so that the use requirements of customers in actual use can be met.

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 application is a kind of mother-pipe boiler coordinated control system and method, the control system includes pressure control module, flow control module, boiler control module, combustion control module, collection processing module, model prediction module, generation module. The pressure control module calculates the deviation value between the real-time pressure and the preset pressure value, the flow control module allocates the steam flow of each sub-pipe based on the deviation value, the boiler control module and the combustion control module are responsible for calculating the target boiler fuel quantity according to the steam flow respectively, and adjusting the boiler load parameter to generate the corresponding steam flow, so that the stable pressure control of the mother-pipe can be realized, the mother-pipe reaches the pressure balance state, improves the automation level and operation efficiency of the mother-pipe boiler coordinated control system, reduces the safety hidden danger and production cost, realizes the accurate control and fast response of the boiler mother-pipe steam pressure.

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.