677 results about "Steam pressure" patented technology

The invention discloses a steam pipeline pressure control method, which comprises the following steps of: acquiring operation information of each key position of a pipe network in real time by constructing a data acquisition system and deploying an execution unit; a multivariable analysis method is utilized, topological structure characteristics of a steam pipeline are combined, a load change model of a steam consumption unit is constructed, the pressure change process caused by operation of different devices is recognized in advance, and a long-term pressure control strategy is made; meanwhile, an accumulative deviation curve is constructed based on a prediction and actual measurement residual evolution sequence, the potential fault risk of the system is identified in an auxiliary manner, and structured alarm output is formed, so that the safety guarantee capability of pipe network operation is enhanced. The steam pipeline pressure control method is suitable for the application scene that the overall steam use requirement is stable, but the local high-frequency disturbance behavior exists, the tiny pressure fluctuation trend can be accurately predicted under the high-disturbance working conditions such as frequent starting and stopping, and it is guaranteed that the steam pressure is stable.

The invention provides a PLC-based biomass gasification industrial steam full-automatic intelligent control system and method. The system comprises a data acquisition module, a modeling identification module, a multi-objective optimization module, a rolling prediction control module, a coordination execution module, a self-adaptive correction module and an abnormal fault tolerance and safety control module. The system collects operation data of a feeding system, a gasification furnace, a boiler, a steam-water system and an environmental protection system in real time through a PLC platform, a dynamic coupling model of a combustion side, a steam-water side and an environmental protection side is established, and a multi-target constraint optimization model with stable steam pressure, up-to-standard emission and minimum energy consumption as targets is constructed. According to the invention, unattended operation of the biomass gasification industrial steam system is realized, the system has the advantages of high control precision, low energy consumption, stable emission and strong fault-tolerant capability, and the intelligence and safety of the industrial steam system are obviously improved.

The invention discloses a control method and system for outlet steam pressure of a steam jet type mixer, and relates to the technical field of steam jet type mixers.The control method comprises the following steps that real-time operation parameters and structure parameters of the steam jet type mixer are obtained; constructing an outlet pressure prediction model based on the historical operation data, and inputting the real-time operation parameters and the structure parameters into the prediction model to obtain an outlet pressure prediction value; the method is technically characterized by comprising the steps that an outlet pressure prediction model comprising a working condition feature recognition layer, a pressure change trend prediction layer and a pressure deviation early warning layer is constructed, and the model reduces prediction errors through iterative training by collecting full-cycle operation data of past three years; real-time operation parameters and structure parameters are input into the prediction model, so that an outlet pressure prediction value and a change trend graph can be obtained in advance; and on the basis, the control adjusting quantity is obtained by combining the outlet pressure deviation value and the development trend, so that the adjustment is more predictive.

The invention relates to the technical field of distributed control, in particular to an automatic control system and process for a corrugated carton production process, and the system comprises a body paper state online monitoring module which is used for collecting body paper humidity, preheating temperature and paperboard tension values in real time at a preheater node, combining the values into a multi-dimensional input data stream, establishing an initial working condition state vector, and outputting the initial working condition state vector; and calculating a deviation value between each parameter in the initial working condition state vector and a standard set value, and generating an upstream disturbance feature set. According to the method, the predicted value is compared with the control threshold value, the adjustment amount of the steam pressure or the production line speed of a plurality of downstream hot plate areas can be calculated, a distributed and feed-forward compensation instruction is generated, and the closed loop from source disturbance monitoring to future state multi-dimensional prediction to downstream multi-point cooperative compensation is more accurate. The suppression of production disturbance is realized, the control precision and response speed of quality fluctuation are improved, and the rejection rate caused by quality problems is reduced.

The invention relates to the technical field of electric power automation control, and discloses a coordinated control system for a generator set, which adopts an intelligent DCS integrated design architecture and performs real-time data interaction with a set decentralized control system through hard wiring or a communication protocol. According to the system, through deep fusion of a model prediction control algorithm and intelligent DCS integrated design, a boiler-steam turbine dynamic coordination model is constructed, and a control instruction is generated in real time in combination with a rolling optimization strategy. By means of the design, the main steam pressure deviation is controlled within + / -0.2 MPa, and the load response rate reaches 1.5% Pe / s and is improved by more than 40% compared with a traditional system. Particularly, under the working condition of deep peak regulation, by means of decoupling control over a fuel-air supply-water supply loop through a neural network algorithm, main steam temperature fluctuation (within + / -5 DEG C) and reheater spray desuperheating water quantity sudden change (the change rate is smaller than or equal to 10 t / min) are effectively restrained, the control quality of a unit under the conditions of variable loads and variable coal quality is remarkably improved, and the control efficiency of the unit is improved. And the high-standard requirement of the power grid on the AGC performance is met.

The invention provides a thermodynamic equilibrium simulation analysis method and system, and relates to the technical field of data processing, and the method comprises the steps: 1, building a steam thermodynamic equilibrium model based on the technological parameters of a thermodynamic network; 2, analyzing a thermal distribution state through a steam thermal equilibrium model, identifying an unbalance factor in a process chain, and establishing a four-vertex geometric topological relation among a heat exchanger inlet / outlet, a pressure reduction module and a drain valve process node according to the physical layout of a thermal network; and step 3, based on the dynamic proportion characteristic of the four-vertex geometric topological relation, calculating a thermal correction factor, and adjusting the heat transfer coefficient, the steam pressure and the condensate water temperature parameter of the steam thermal equilibrium model according to the thermal correction factor to obtain the corrected steam thermal equilibrium model parameter. According to the method, through dynamic correction of model parameters and simulation optimization, accurate identification and dynamic regulation and control of thermal unbalance are realized, a closed loop for optimized feedback is formed, and the operation efficiency and stability of a thermal system are improved.

The present application provides a dynamics analysis method for an ammonia combustion refrigeration system in large park cooling. The method comprises: on the basis of a geometric structure of an ammonia combustion chamber and a fuel supply amount, calculating the heat generated by ammonia combustion and analyzing the heat transfer mode between the combustion chamber and a desorption tower, the heat transfer mode comprising direct contact type heat transfer and partition type heat transfer, and simulating the heat transfer process to obtain and draw the heat flux distribution of the tower wall surface; on the basis of the flow state and a relationship curve between the pressure drop and the flow velocity, analyzing the desorption process of a refrigerant in a solution, and on the basis of the concentration of the solution, a boiling point of the refrigerant, and the vapor pressure, calculating local desorption rates at different positions in the desorption tower and the refrigerant vapor generation amount; and on the basis of the heat flux distribution, calculating the temperature distribution of the solution, and analyzing the heat transfer and mass transfer processes in the desorption tower to obtain a local heat transfer coefficient and the mass transfer efficiency distribution of the surface of a filler.

The invention relates to the technical field of expanded polystyrene production, and discloses an expanded polystyrene automatic molding control system and method.The system comprises a detection module, a data analysis module and a central control module, and the detection module collects mold temperature distribution, molded blank local density and steam pressure data in real time; the data analysis module calculates a temperature fluctuation index according to the temperature data, obtains a dynamic density compensation coefficient by means of a density model, and determines a forming quality deviation level; and the central control module adjusts the steam heating power according to the deviation level, determines and corrects the mold opening and closing rate in combination with the pressure and density change rate, and generates a motion trail control parameter. The method comprises the steps of data acquisition, calculation and analysis, parameter adjustment and instruction output. Through multi-parameter cooperative control, forming automation and precision are achieved, the quality stability and the production efficiency are improved, and the method is suitable for production of related products.

The invention discloses a frequency modulation control method and system for a thermal power generating unit, and relates to the technical field of frequency modulation control, and the method comprises the steps: collecting a frequency modulation instruction signal of a power grid, decomposing the frequency modulation instruction signal, and obtaining a plurality of intrinsic mode function components and residual components; performing spectral analysis on each intrinsic mode function component, marking the component of which the main frequency exceeds a high-frequency disturbance frequency threshold as a high-frequency disturbance component, and calculating a fluctuation amplitude and a change rate; a thermal system control instruction is generated through a PID control algorithm, the coal feeding amount and the main steam pressure are adjusted, and an auxiliary compensation control instruction is generated for the high-frequency disturbance component through a fuzzy control algorithm; a thermal system control instruction and an auxiliary compensation control instruction are converted into operation parameters of a thermal power generating unit control mechanism and issued for execution, when the control effect deviation continuously exceeds a deviation threshold value, an optimization process is triggered, and the frequency modulation stability and the equipment safety of a unit in the environment that new energy is accessed to a power grid in a high proportion are remarkably improved.

The invention relates to the technical field of control regulation, in particular to a supercritical unit variable load rate dynamic compensation control method, which comprises the following steps: acquiring unit operation data, performing credibility restoration, and outputting a credible parameter set; a time sequence mapping table is constructed based on the credible data, and boiler heat storage lag time, steam turbine control valve delay and a steam temperature interstage coupling coefficient are quantified; correcting the boiler water supply feedforward instruction by using the heat storage lag time to generate a compensated water supply instruction; according to the time sequence mapping table and the main steam pressure change rate, a multi-genetic algorithm is adopted to optimize a control valve constraint rule, and a dynamically constrained control valve action instruction is generated; an inter-stage coupling coefficient is called to generate a swing angle compensation amount, and water spraying temperature reduction disturbance is blocked; safety locking parameters are monitored to trigger buffering intervention in a grading mode, and compensation instructions are integrated to implement cooperative correction. The problem of out-of-step response of multiple execution units under the variable load working condition is solved, and the unit adjusting rate and the control stability are remarkably optimized.

According to the method and system for calculating the efficiency of the low-pressure cylinder of the steam turbine on line, under the reference working condition and multiple working conditions, parameters such as steam pressure, temperature and back pressure of an inlet and an outlet of a first stage, a second stage and a third stage of the low-pressure cylinder are collected, the efficiency of each stage and the efficiency of the low-pressure cylinder are calculated, dimensionless processing is carried out, and the efficiency of the low-pressure cylinder is calculated; and establishing a multiple regression model which takes the superheated steam stage efficiency as an independent variable and takes the low-pressure cylinder efficiency as a dependent variable. And considering the influence of the back pressure on the efficiency of the low-pressure cylinder, establishing a compensation model, and correcting the predicted efficiency of the low-pressure cylinder. In actual operation, the parameters are collected in real time, the efficiency of the current stage is calculated and substituted into the regression model and the compensation model, and the real-time efficiency of the low-pressure cylinder is obtained. According to the method, direct measurement of wet steam parameters is avoided by utilizing superheated steam stage data which are easy to obtain, real-time and accurate calculation of the efficiency of the low-pressure cylinder under different working conditions is realized, and the method can be widely applied to performance monitoring, operation optimization and fault diagnosis of a turboset.

The invention discloses a related quantitative analysis method and system based on steam turbine regulating valve opening disturbance, and belongs to the technical field of generator set optimization operation. Sequentially deducing to obtain a first differential equation and a second differential equation based on the steam temperature change when the steam turbine regulates the valve opening disturbance; the function relation between the enthalpy value of the once-through boiler outlet working medium and the temperature and the pressure is established, and a quantitative analysis equation of the steam turbine adjusting valve opening disturbance to the once-through boiler outlet steam temperature is deduced; based on the proportional relation between the first-stage front steam pressure of the steam turbine and the front steam pressure of the adjusting steam valve and the load constant condition of the once-through boiler, a quantitative analysis equation of the opening disturbance of the adjusting steam valve of the steam turbine to the first-stage front steam pressure of the steam turbine is deduced. Through a reasonable simplified formula, the quantitative influence result of the opening degree change of the steam turbine adjusting valve on the outlet steam temperature of the once-through boiler and the first-stage front steam pressure of the steam turbine can be rapidly and accurately obtained, operation personnel can be assisted in optimizing operation, and then safe and economical operation of a generator set is guaranteed.

A process of forming a titania-silica glass body, the process including exposing a titania-doped silica soot body to a constant steam pressure step during which the partial steam pressure is at a first partial pressure of steam P1 that is from about 0 Torr to about 760 Torr and exposing the soot body to a ramp-up steam pressure step during which the partial steam pressure increases from the first partial pressure of steam P1 to a second partial pressure of steam P2, the second partial pressure of steam P2 being from about 50 Torr to about 760 Torr. The second partial pressure of steam P2 being greater than the first partial pressure of steam P1. The process further including heating the soot body during the constant steam pressure step and during the ramp-up steam pressure step and increasing the temperature during at least one of the constant steam pressure step and the ramp-up steam pressure step.

The invention provides a thermal power generating unit steam turbine frequency modulation model self-correction self-optimization-approaching method, which comprises the steps of constructing a data set, inputting the data set into a PyCT-PsLSTM prediction network model, outputting main steam pressure, valve opening and unit load and actual measurement value calculation errors, and if the errors exceed a threshold value, performing early warning and starting PID parameter optimization correction; screening non-tampered current power PID parameters from the data set, inputting the non-tampered current power PID parameters into the GPR model to obtain a predicted mean value, a standard deviation and a confidence interval, judging tampering if the parameters exceed the interval, calculating an uncertainty coefficient based on the mean value and the standard deviation, performing global search by using a particle swarm algorithm if the coefficient is greater than a threshold value, and performing local optimization if the coefficient is less than or equal to the threshold value; and obtaining an optimal solution, updating the data set, finely adjusting tampering parameters, comparing an actual value with GPR output, and judging to release or keep early warning. According to the method, the PID controller parameters and the confidence interval thereof are compared and predicted, early warning ending or warning keeping is judged, and the key parameter time sequence characteristic modeling capability is improved.

The invention discloses a thermal power generating unit coordination control data and mechanism hybrid modeling method and device, computer equipment and a computer readable storage medium, and relates to the technical field of thermal energy engineering and power system modeling and control. Establishing a high-precision dynamic mechanism model of the working medium flow and heat transfer process of the boiler-steam turbine system; then, constructing an error correction model fusing the long-short-term memory network, the convolutional neural network and residual connection; and finally, fusing the mechanism model and the error correction model through parallel computing to form a dynamic hybrid model with physical interpretability and high precision. Through the hybrid modeling strategy, the prediction accuracy of key parameters such as the main steam pressure, the separator outlet steam enthalpy value and the unit load in the wide load range, especially under the dry-state operation working condition is remarkably improved, and a reliable model basis is provided for designing an advanced unit coordination control system.

The utility model discloses a steam cleaning head and a steam cleaning machine thereof, and belongs to the technical field of steam cleaning, the steam cleaning head comprises a connecting rod, a steam channel for steam to pass through is arranged in the connecting rod, a flywheel is arranged on the connecting rod, the connecting rod is connected with a spray head through the flywheel, and a plurality of steam spray holes are formed in the spray head. And the flywheel rotates on the connecting rod under the action of steam pressure, and drives the spray head to rotate together during rotation. According to the structure, the flywheel and the spray head can be driven to rotate together by utilizing the air pressure of steam, so that the steam can be rotationally sprayed out on a plurality of steam spray holes in a large area, the defects that in the prior art, the steam can only be sprayed out in the specified direction and position, and the spraying area is small are overcome, all corners of a cleaned object can be in contact with the steam, and the cleaning efficiency is improved. Therefore, a user can clean the cleaned object in a large area without manual reciprocating movement, the use convenience of the user is improved, and the cleaning effect can be improved.

The invention discloses a thermal power plant boiler steam pressure stability control method and system, and relates to the technical field of thermal power plant thermal automation control, and the method comprises the steps: obtaining the real-time data of multiple boilers of a thermal power plant to construct a matrix, building a global optimization model with the pressure fluctuation degree as the target and the unit regulation coupling degree as the constraint, and generating an initial strategy; the deviation degree of the system is evaluated, if the deviation degree exceeds a threshold value, optimization is conducted, an instruction is sent to be executed, and multi-boiler cooperative pressure control stability is achieved. The technical problems that in a traditional control technology, the regulation and control coupling relation among multiple boilers of a thermal power plant is not fully considered, pressure fluctuation, energy consumption efficiency and response time delay are difficult to balance, consequently, steam pressure stability is insufficient, and the precise control requirement under the complex working condition cannot be met are solved, and the purposes that the regulation and control coupling relation among the boilers is fully considered, and the control precision is improved are achieved. Pressure fluctuation, energy consumption efficiency and response time delay are balanced, and the technical effect of stable and accurate control over the steam pressure under the complex working condition is achieved.

The invention relates to the technical field of gas-fired boilers, in particular to a distributed energy system based on a gas-fired boiler and an operation method. A three-layer convolutional neural network model is adopted by a load prediction module of the intelligent control platform, a cooling, heating and power load prediction value is output through convolutional layer feature extraction and a full connection layer, and an energy scheduling module is combined based on a model prediction control algorithm, and the lowest system operation cost is taken as a target. State variables such as steam pressure and the opening degree of a fuel regulating valve are optimized in a rolling mode, the load prediction accuracy and the multivariable collaborative optimization capacity are improved, and steam emptying is reduced. A steam exhaust port of a low-pressure steam turbine of a double-shaft back pressure type steam turbine set is divided into two paths which are connected with a steam-water heat exchanger and an absorption refrigerator respectively, steam exhaust flow distribution is adjusted through an electric adjusting valve, a water heat storage tank and a lithium battery energy storage system are combined, cooperative control is conducted through an energy management gateway, heat is stored and released during heat load fluctuation, and charging and discharging are conducted in the valley-peak section of a power grid. The heat-to-electricity ratio adjusting range is widened, and insufficient heat supply is reduced.

The invention belongs to the field of thermal power generation dispatching, and relates to a thermal power generating unit deep peak regulation method, device and equipment and a medium, and the method comprises the steps: processing multi-source data of a thermal power generating unit through a multi-source data processing model, and obtaining a predicted load; performing dual-objective optimization based on the predicted load to obtain a thermal power generating unit instruction; based on the boiler instruction, the heat storage instruction and the wind power frequency modulation standby load, main steam parameters and the actual air distribution ratio are obtained through cooperative combustion control; processing the steam turbine instruction and the main steam pressure to obtain steam turbine parameters; wind power rapid frequency modulation is combined, the boiler climbing time is shortened, the service life loss of equipment is reduced, wind-light-fire storage deep coupling is achieved, new energy fluctuation is stabilized, and the heat storage utilization rate is increased.

Provided in the present invention are a primary frequency regulation dynamic simulation method and apparatus based on a thermal power condensate water throttling strategy, which are used for analyzing the dynamic characteristics of a unit when a power plant executes a primary frequency regulation instruction by means of a condensate water throttling strategy after a power disturbance occurs in a power grid. The dynamic characteristics mainly comprise the characteristics of a steam turbine speed governor system, the characteristics of a variable-frequency condensate pump system, the dynamic heat exchange characteristics of a low-pressure heater and extraction steam, the flow characteristics of an extraction steam pipeline, and the output characteristics of a steam turbine body. A moving boundary method is mainly applied to a heat exchange process between condensate water (a cold fluid) and shell-side extraction steam (a hot fluid) in a low-pressure heater. The heat exchange process between the cold and hot fluids can be divided into a superheated section, a phase change section and a subcooled section on the basis of the aggregation state of the extraction steam. When the moving boundary method is applied to a steam turbine regenerative system, the dynamic variation laws of extraction steam temperature and pressure can be more accurately obtained, and the extraction steam pressure on a low-pressure heater side is a key factor in determining the extraction steam flow rate on a low-pressure cylinder side, and is also critical in determining the instantaneous power increment of a steam turbine. Moving boundary method-based frequency regulation dynamic simulation for thermal power condensate water throttling takes into account relatively comprehensive actual process factors, and only one-dimensional modeling along an axial main flow direction is taken into account, thus combining the advantages of fast and accurate simulation. A fast and accurate simulation method is a prerequisite for implementing power grid frequency security analysis. By mastering the dynamic process of power plant load response from the moment a frequency deviation exceeds a dead band to the moment same returns to the dead band, a foundation can be provided for the primary frequency regulation control of power plants and the frequency security analysis of power grids.

To provide a unit count control device capable of performing demand response while suppressing fluctuation in steam pressure.SOLUTION: A unit count control device controls a plurality of boilers, including one or more electric boilers and one or more fuel boilers. In a case where reduction control is performed to reduce an amount of steam generated by the one or more electric boilers based on power information even if the steam pressure is at a value that does not require a change in a combustion state of the boiler, the unit count control device performs combustion state change control to change the combustion state of at least one of the one or more fuel boilers before the reduction control is started.SELECTED DRAWING: Figure 2

The invention relates to a uniform heating method for steam foaming foam plastic particles. The method comprises the following steps: acquiring first production data of target plastic in a processing process; performing feature extraction on the first production data from the initial moment to the current moment in the preset time window to obtain a target feature; inputting the target features into a trained target detection model for prediction to obtain a first detection result at the next moment of the current moment; and under the condition that the deviation value between the first detection result and the target result is smaller than a first preset threshold value, the target plastic is processed based on the current heating control parameter till production is completed. According to the method, the first production data in the preset time window is obtained, the target features are extracted and then input to the target detection model for prediction, the evolution rule (such as periodic fluctuation of steam pressure) of the heating control parameters along with time can be captured, and the accuracy of the obtained first detection result is higher.

The invention belongs to the technical field of flexibility improvement and transformation of coal-fired power generation, and discloses a multi-parameter optimization method for optimizing equivalent electricity-electricity efficiency of an electric heating fused salt heat storage pure condensing power generation system, which comprises the following steps of: firstly, determining a fused salt heat storage medium temperature interval, a steam generator heat transfer structure and key parameters of a power generation subsystem; the main steam pressure, the reheating steam extraction pressure and the like are used as optimization variables; secondly, on the basis of thermodynamic feasibility and equipment safety, setting boundary conditions such as main steam pressure grading limitation, a deaerator operation boundary, a fused salt thermal stability threshold value and a heat exchanger heat transfer economical efficiency constraint; then, the heat exchange power of a steam generator is calculated through the reference working condition, the cold and hot salt design temperature and the heat exchange area are determined by combining the fused salt heat exchange temperature difference, and the fused salt mass, the heat storage tank volume and the electric heater power are calculated according to heat absorption and release balance; and finally, iteratively optimizing the key parameters by adopting a multi-parameter optimization algorithm until the equivalent electricity-electricity efficiency is optimal. The problems that in a traditional method, parameter collaboration is poor, constraint conditions are ignored, and global optimization is insufficient are solved, the operation efficiency and economical efficiency of the electric heating fused salt heat storage pure condensing power generation system are remarkably improved, and green and sustainable development of energy is facilitated.

The invention provides a cooperative control method suitable for a thermoelectric unit, and relates to the technical field of thermoelectric units, and the method comprises the steps: constructing a machine-furnace coupling nonlinear state space model, designing a dynamic heat storage state observer, calculating a heat storage state index in real time to quantify the transient energy profit and loss of the unit, and building a multi-objective optimization function. And a dynamic weighting factor based on the index is introduced, the factor guides the controller to automatically switch strategies under different working conditions according to the priority of the real-time energy state, the intelligent balancing load response speed and the main steam pressure stability, and finally, a nonlinear model predictive control algorithm is adopted to solve in a rolling time domain, so that the real-time energy state is obtained. According to the method, the optimal steam turbine control valve and fuel quantity control increment is obtained, decision-making level deep cooperation of a turbine-boiler system is effectively achieved, the problem of divergence control under deep peak regulation is solved, the frequency modulation potential of a unit is released to the maximum extent on the premise that absolute safety of pressure is guaranteed, and the response rate of a power grid is increased.

The utility model discloses a high-pressure steam extraction assembly and an ultra-supercritical adjustable steam extraction turbine, and relates to the technical field of turbines. The problems that heat is wasted and coal consumption is increased due to the fact that an existing ultrahigh-pressure heat supply steam extraction mode adopts a steam temperature and pressure reduction mode are solved. The steam supplementing device comprises a high-pressure cylinder, a steam supplementing pipeline and a three-way connector, the steam supplementing pipeline is arranged between the high-pressure cylinder and a steam supplementing valve, one end of the steam supplementing pipeline is communicated with the steam supplementing valve, and the other end of the steam supplementing pipeline is communicated with the high-pressure cylinder through the three-way connector. The three-way connector is arranged behind the high-pressure cylinder through flow of the fifth level, the pressure and temperature of steam after the high-pressure cylinder through flow of the fifth level are closest to the standard of an industrial park, and the three-way connector can mix high-temperature steam in the steam supplementing valve and steam after acting in the cylinder and extract the mixed steam, so that the temperature and pressure of the steam are adjusted; and moreover, temperature and pressure reduction is not needed, so that the waste of heat is avoided, and the coal consumption is further reduced.

The invention discloses steam turbine high-low pressure bypass heat supply equipment, which relates to the technical field of heat energy engineering and power machinery, and comprises a signal acquisition module, an offset early warning module, a correction control module and a stable operation module, and constructing a time anchor point set, and generating a phase residual frequency spectrum for identifying a steam flow fluctuation source. According to the method, signals are collected through a unified time base line, a steam fluctuation source is identified in combination with a phase residual frequency spectrum, an impact track is reconstructed through phase conjugate inversion, and an overtemperature risk window is identified. Feedforward correction control is generated through track playback and predictive mapping, real-time rearrangement of valve behaviors is achieved, and the operation stability and the overtemperature resistance of the steam turbine under the deep peak regulation and disturbance conditions are improved.

The invention discloses a turbine generator set power oscillation emergency valve switching control method, system, equipment and medium based on a thermodynamic model, and belongs to the technical field of electric power system automation control and thermal energy power engineering, and the method comprises the steps: monitoring the operation state of a set in real time, and collecting the current data of the set; calculating a theoretical balance valve position required for maintaining the current target power in real time by using the corrected inverse thermodynamic model; and the power fluctuation condition is monitored in real time, when it is detected that power oscillation happens to a unit and valve cutting logic is triggered, the system intercepts a conventional feedback instruction for tracking the actual valve position, the theoretical balance valve position is directly used as a target instruction, and a control valve is forcibly driven to act to the valve position through a rate limiter. According to the method, it can be ensured that after closed-loop control of the unit is cut off, the valve rapidly returns to the physical balance opening degree matched with the current load, an oscillation source is effectively eliminated, severe fluctuation of main steam pressure and temperature is stabilized, and the safety and stability of the unit under the abnormal working condition are remarkably improved.

The invention discloses a self-attention mechanism fused gated cycle unit coal-fired unit coordination modeling method, which comprises the following steps of: 1, acquiring working condition data of a coal-fired unit, and preprocessing the data; 2, taking the preprocessed data as input, taking predicted values of coal-fired unit power and main steam pressure as output, and constructing a GRU network model fused with a self-attention mechanism; and 3, training and optimizing the GRU network model fused with the self-attention mechanism. According to the gated circulation unit neural network coordination modeling method fusing the self-attention mechanism, the modeling precision and real-time performance of a coal-fired unit under the complex working conditions of deep peak regulation, rapid load change and the like can be remarkably improved, and the method has great significance in guaranteeing safe, efficient and flexible operation of the unit.

The invention relates to a steam pressure cooker with a combination valve and a floating check valve, the steam pressure cooker comprises a cooker body, a cooker cover, a steam inlet valve, a steam release valve, the combination valve and the floating check valve, the steam inlet valve and the steam release valve are both arranged on the barrel wall of the cooker body and are communicated with the interior of the cooker body, a steaming box is suspended in the cooker body, and a cooker cover locking ring capable of locking the cooker cover and the cooker body is arranged on the outer side of the cooker cover. A first through hole and a sixth through hole are formed in the cooker cover, the combination valve is arranged in the first through hole, the top and the bottom of the combination valve extend out of the first through hole, and the floating check valve is arranged in the sixth through hole. The steam cooker has the function of heating or cooking through steam, and has the advantages of being good in heat preservation effect, convenient to operate and high in safety and having the self-locking function.

The invention relates to the technical field of carbon capture regulation and control, and discloses a carbon capture solvent regeneration energy consumption real-time regulation and control system and method based on AI optimization. The system comprises a solvent regeneration environment monitoring unit which is used for collecting multi-dimensional operation parameters such as reboiler steam pressure, solvent circulation flow, lean and rich liquid heat exchange temperature difference and tower top gas phase component concentration in a regeneration tower in real time; the dynamic energy consumption feature extraction unit is used for extracting an implicit energy consumption feature vector through a deep space-time convolutional neural network and generating an energy efficiency evaluation index; the regeneration strategy optimization decision-making unit is used for generating a steam valve opening degree adjusting strategy and a solvent circulating pump frequency control strategy through online iteration by adopting a reinforcement learning framework; the execution feedback control unit is used for converting the strategy into a control signal and acquiring execution feedback data; and the closed-loop verification module is used for comparing the actual steam consumption deviation with the theoretical steam consumption deviation, and triggering feature re-extraction when the deviation exceeds a threshold value. The system realizes intelligent real-time regulation and control of solvent regeneration energy consumption.