1520 results about "Valve opening" patented technology

The invention relates to the technical field of high-pressure gas cylinder control, and discloses a high-pressure gas cylinder valve pressure dynamic monitoring and self-adaptive adjusting method. The method comprises the following steps: dividing a high-pressure gas cylinder valve into a plurality of monitoring units, and obtaining pressure, temperature and flow data of each unit to form a comprehensive monitoring data set; establishing a pressure stability evaluation index and an environmental factor influence evaluation index based on the data set, and generating an initial risk value by applying a probability early warning mechanism and an adaptive prediction model; dynamically correcting the initial risk value and outputting a corrected risk value according to spatial relevance or time sequence dependency of adjacent monitoring units; and finally, the corrected risk values are sorted, a priority control instruction list is generated, and a control execution unit is combined to output a self-adaptive adjustment signal so as to adjust the opening degree of the valve. According to the method, comprehensive monitoring and dynamic adjustment of the high-pressure gas cylinder valve are achieved, and the operation stability of the valve is improved.

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 discloses a valve state monitoring and safety interlocking method based on machine vision, and belongs to the technical field of industrial process control and safety. The method comprises the following steps: 1, calibrating a camera and establishing a model; step 2, image acquisition and preprocessing; step 3, key image feature extraction and state decision; fourthly, opening degree calculation and state judgment are carried out; 5, safety interlocking is triggered; and 6, feeding back data. The valve state monitoring and safety interlocking method is achieved through the valve state monitoring and safety interlocking system. According to the invention, the millimeter-level or even submillimeter-level displacement and angle real-time accurate measurement of the opening degree of the valve can be realized, the state monitoring of the valve is realized, and the stability and reliability in the production process are improved; state judgment is carried out by comparing the real-time opening value with the instruction opening from the control system, a safety interlocking signal is generated and transmitted to the safety interlocking system, and finally physical safety action is triggered, so that a set of complete safety protection system is realized, and accidents are avoided.

The invention belongs to the technical field of parameter identification, and provides a thermal power generating unit electro-hydraulic servo system PID parameter identification method and system, and the method comprises the steps: obtaining the historical operation data of a steam turbine, carrying out the preliminary screening of the data, and constructing a parameter identification data set; according to the mean square error between the actual value and the calculated value of the opening degree of the valve, an objective function of PID parameter identification of the DEH electro-hydraulic servo system is established; setting population initial parameters, and generating a chaotic initial population; based on a parameter identification data set and a target function, introducing an initial population value of the generated chaotic initial population into an improved Bayesian optimization model, and obtaining a preliminary optimization result through Gaussian modeling and kernel function prediction; and taking the preliminary optimization result as input, and utilizing a whale optimization algorithm introducing a Levy flight disturbance mechanism to carry out iterative search for multiple times to obtain a final optimization result. According to the invention, the parameter identification precision and robustness are improved.

The invention relates to the technical field of fluid control, and discloses a split type mass flow controller calibration method, system and equipment. According to the method, a control unit, a valve unit, a detection unit and a fluid passage unit are connected through detachable interfaces through a split type modular design, and the problem that a traditional integrated structure is difficult to calibrate and maintain is solved. A flow mapping relation model is established by adopting temperature difference and pressure data, and dynamic correction is performed in combination with an environment temperature compensation coefficient, so that the detection precision is remarkably improved. Through cooperative control of a flow closed loop and a valve element displacement closed loop, precise adjustment of the opening degree of the valve is achieved, and the stability and the dynamic response performance of flow control are effectively improved. The system has the advantages of being flexible in structure, high in calibration precision and high in environmental adaptability, and is suitable for the high-precision flow control field of semiconductors, biological medicine and the like.

The invention discloses a heat dissipation control method, device and system based on an array chip and a medium. The method comprises the steps that the basic valve opening degree is determined based on the temperature value of any partition and a valve opening degree mapping table; determining a target valve opening degree of each electric valve based on the basic valve opening degree and a spray coverage overlapping model, and sending the target valve opening degree to each electric valve; calculating a target total flow based on all target valve opening degrees, adjusting the rotating speed of a liquid supply pump through a frequency converter, and enabling a measured value of a flow sensor to be the target total flow; determining a target pressure value based on the saturation temperature of the cooling liquid, and adjusting the power of the vacuum pump or the three-way vacuum electromagnetic valve to enable the pressure value of the evaporation cavity to be the target pressure value. According to the method, three-layer linkage logic of partition precise temperature control, system flow coordination and global pressure setting is established, scattered devices are integrated into a whole, overall adjustment of the system level is achieved during heat dissipation control, instructions do not need to be sent frequently to control each valve, and the electric energy consumption of the system is reduced.

The invention discloses a supercritical fluid assisted polymer devolatilization distributor. The supercritical fluid assisted polymer devolatilization distributor comprises a gradually-shrinking channel, a throttling channel and a gradually-expanding channel which are connected in sequence. A static mixer is arranged in the throttling channel, the upstream pressure is maintained to be above a supercritical state by increasing fluid resistance, meanwhile, the mixing effect of supercritical fluid and polymer melt is enhanced, stable and uniform foam flow is formed, and pressure fluctuation is avoided; an automatic pressure relief valve assembly is arranged on the upper portion of the divergent channel and composed of a valve opening, a valve cover plate, a spring, an adjusting knob and the like, when the system pressure exceeds a set value, exhaust is automatically started, and controllable pressure relief is achieved. A plurality of rows of flow distribution holes are formed in the lower part of the distributor to ensure that the melt uniformly flows out to form stable melt strips; the problems that traditional equipment is difficult to pressurize and not timely in pressure relief are solved, the supercritical state maintenance, gas-liquid separation and melt forming processes are optimized, the volatile component removal efficiency is improved, the phenomenon that melt strips are broken or accumulated is effectively prevented, and continuous and stable operation of the devolatilization process is guaranteed.

The invention relates to the technical field of fuel gas mixing, and discloses a biological natural gas mixing control method and system.The method comprises the steps that a natural gas branch, a synthesis gas branch and a mixed gas outlet are each provided with a multi-mode sensor unit; carrying out data fusion on the detection data and the detection data of an on-line chromatographic instrument and a mixed gas rapid calorific value instrument, and estimating the low calorific value, the bloom index and the gas component percentage of the mixed gas in real time based on a constraint model and Kalman filtering; establishing a prediction controller, setting input to predict gas characteristics required by a future gas turbine, and outputting a synthesis gas valve opening degree and a natural gas valve fine tuning signal; calculating an allowable mixing proportion upper limit to form a dynamic mixing window, and adjusting the mixing proportion of the natural gas and the synthesis gas based on the dynamic mixing window when a hard boundary condition is met; and when the instability state occurs, the safety interlocking is triggered. According to the invention, rapid detection is realized, active adjustment of rapid working condition fluctuation is realized, and safety interlocking is arranged, so that the overall operation safety is improved.

The invention relates to the technical field of cleaning fluid flow control, in particular to a wine fermentation valve array cleaning fluid flow control method and system, and the method comprises the following steps: building a corresponding relation among a cleaning pump operation parameter, a regulating valve opening parameter and a cleaning fluid flow, and calculating a cleaning fluid flow reference value; performing consistency evaluation on the cleaning fluid flow measurement signal, the cleaning fluid flow reference value and the pipeline pressure parameter, and when the deviation between the cleaning fluid flow measurement signal and the cleaning fluid flow reference value exceeds a preset flow deviation threshold value, and the adjusting valve opening parameter or the pipeline pressure parameter exceeds a preset threshold value range, determining the consistency of the cleaning fluid flow measurement signal and the cleaning fluid flow reference value. Determining that the cleaning fluid flow measurement signal is not credible; when it is judged that the cleaning fluid flow measurement signal is not credible, the control mode is switched, and in the switched control mode, cleaning fluid flow control is conducted according to the cleaning fluid flow reference value; and issuing a maintenance alarm. The detection accuracy can be improved.

The invention discloses a heat exchange station intelligent heat supply system, and relates to the field of heat exchange station intelligent heat supply, and the system comprises a stable heat supply module which is used for obtaining a preset target value for maintaining the total water supply temperature of a secondary network, and dynamically adjusting the total water supply temperature of the secondary network through a PID controller to maintain the preset target value; the model construction module is used for drawing a secondary network heat supply pipe network topological graph and constructing a heat supply pipe network real-time hydraulic model; the instruction generation module is used for predicting and generating a cooperative control instruction set of all the intelligent regulating valves in the whole network based on a genetic algorithm; the dynamic adjusting module is used for dynamically adjusting the opening degree of the adjusting valves according to the cooperative control instruction set of all the intelligent adjusting valves in the whole network; and the interaction platform module is used for building a user interaction platform and dynamically adjusting the opening degree of the adjusting valve according to feedback of the user interaction platform. The method has the advantages that by dynamically adjusting the opening degree of the adjusting valve, the heat supply comfort degree of a user is adapted in a personalized mode, and the problems of unified heat supply and unified pricing are avoided.

The invention belongs to the technical field of engine air pipe network valve adjustment, and provides a combustion chamber air pipe network valve opening prediction model construction method and system, and the method comprises the steps: generating a test working condition set comprising a plurality of valve opening combinations for an established air pipe network system model; the test working condition set serves as input, and a mapping data set of gas parameters and valve opening degrees of an inlet and an outlet of each network management node is obtained through simulation of the air pipe network system model; and training the mapping data set by adopting a Kriging algorithm, and establishing a prediction model taking gas parameters of an inlet and an outlet of a network management node as input and valve opening as output under a test working condition. According to the prediction model constructed through the method, all valve opening strategies can be rapidly predicted for inputting the target flow and pressure, and the target state can be rapidly achieved through a small number of personnel control actions in the experiment process.

The invention belongs to the technical field of energy consumption management, and particularly relates to an energy consumption optimization control method and system for heating and ventilation equipment, and the method comprises the steps: constructing a distributed pump set architecture, and converting a transmission and distribution system from a centralized regulation and control mode into a distributed regulation and control mode; developing adaptation technology and equipment; establishing a dynamic hydraulic balance regulation and control model by combining a digital twinning technology and an intelligent algorithm; the dynamic regulation and control model is used for optimizing the pump set operation state and the valve opening degree in real time; by constructing a distributed pump set framework, the system can independently adjust the rotating speed of the pump units according to the actual requirements of different sub-areas, the adaptability of the system to different working conditions and load changes is greatly improved, and the heating and ventilation requirements of all the areas can be more accurately met; the problem of excessive energy supply or insufficient energy supply of partial areas caused by overall adjustment in a centralized regulation and control mode is avoided, so that the overall operation efficiency and comfort of the system are effectively improved.

The utility model relates to an inverted metal sealing ball valve, which relates to the technical field of ball valve sealing, and comprises a valve body, a self-sealing end cover, a main valve seat, a main valve seat and a sealing cover, the bottom of the valve body is provided with a mounting port for mounting an integrated ball rod, the self-sealing end cover is used for sealing the mounting port, and the main valve seat is in sealing fit with the integrated ball rod; one end of the self-sealing end cover is in sealing fit with the main valve seat, the other end of the self-sealing end cover is in sealing fit with the auxiliary valve seat far away from the integrated ball rod, and a first disc spring is arranged at the contact position of the self-sealing end cover and the integrated ball rod. The integrated ball rod is arranged, so that the situation that a valve rod and a ball body of a traditional ball valve are not suitable for high-frequency operation occasions due to the fact that a flat tenon or square tenon connecting structure is adopted is avoided; by means of the valve, the reliability of opening or closing of the valve is guaranteed, and the sealing effect can be improved by arranging the first disc spring.

The invention discloses an intelligent loading control system for a silo, and relates to the technical field of loading control, and the system comprises a data collection module which is used for collecting a sensor data flow; the disturbance compensation module is used for carrying out vibration coupling grade division on the basis of the sensor data flow and the vehicle vibration amplitude obtained through prediction of the vehicle vibration short-term prediction model, and formulating a corresponding coupling disturbance compensation instruction on the basis of the vibration coupling grade; the valve opening degree module is used for calculating the opening degree of a basic gate based on the set target loading weight and the collected real-time loading weight; based on the vibration coupling grade and the coupling disturbance compensation instruction, the basic gate opening degree is adjusted, and the initial adjustment opening degree is obtained; correcting the initial adjustment opening degree in combination with environment wind speed data collected in real time to obtain a corrected gate opening degree; the completion judgment module is used for closing the gate to complete loading when the real-time loading weight reaches the target value; material scattering and loss in the loading process can be reduced, and efficiency and stability are improved.

The invention discloses a near-zero-energy-consumption building dynamic airtightness AI diagnosis and self-adjustment method, and relates to the technical field of building airtightness adjustment, and the method comprises the following steps: deploying multiple types of sensors for real-time monitoring, and processing original data; extracting a plurality of features in a fixed time window to form a time sequence feature matrix; analyzing the coupling relationship between the door opening event and the pressure fluctuation, and calculating an abnormal score to identify door disturbance dominant imbalance; for NOT gate disturbance, using a time sequence convolutional network to predict future differential pressure deviation, and tracing a main disturbance source through gradient analysis; according to the traceability result, the air volume needing to be compensated is calculated and converted into an air supply valve opening instruction to be sent to the actuator; and automatically adjusting an anomaly detection threshold value according to historical data every week, and updating the prediction model online by adopting incremental learning. According to the invention, accurate and rapid identification of the air tightness dominant disturbance source and adaptive compensation of the air volume can be realized.

The invention belongs to the technical field of industrial automation control, and relates to a seasoning filling PID parameter adaptive optimization control method and system. The method comprises the steps that the real-time temperature of fluid in a filling pipeline, the static pressure of a valve inlet, the instantaneous flow and a valve opening instruction are collected, and moving average filtering preprocessing is carried out; constructing a self-adaptive forgetting factor calculation model based on the viscosity-temperature characteristics, and calculating a current optimal forgetting factor according to the fluid temperature change rate, the flow prediction error and the fluctuation condition of the flow data; a recursive algorithm is used for identifying the system process gain online, and the proportional gain of a PID controller is calculated in real time according to the identified process gain and the ratio of the hydrostatic pressure to the standard reference pressure; and the gain is input into a controller, and a final valve opening instruction is generated in combination with integral and differential terms. According to the method, the dynamic adjustment of the algorithm memory length can be realized, the viscosity change can be quickly adapted, excessive filling and slow response are eliminated, and high-precision filling under complex working conditions is ensured.

A sanitary valve having a main valve with a diaphragm movable between closed and open positions. The main valve is in an inner housing rotatably mounted in an outer housing. The inner housing has a first valve opening connected to a first valve opening in the outer housing to form a valve outlet. The inner housing has a second valve opening arranged on the outside relative to the valve outlet and is paired with a second valve opening in the outer housing forming a valve inlet. Paired second valve openings are brought into congruence by a relative twisting of the inner and outer housings with the valve inlet being variable. The inner housing has a pot-base inside from which a valve connector protrudes which connects the inner part first valve opening forming the valve outlet to the valve seat formed by the free sleeve end region of the valve connector.

The invention relates to a joint regulation and control method, device and equipment for a temperature control valve and a fan in a fuel cell thermal management system and a storage medium. The joint regulation and control method comprises the following steps: acquiring a water pump rotating speed, a preset water pump characteristic curve, a first preset pipeline total flow and a first preset temperature control valve opening degree; determining the flow of each branch distributed under the rotating speed of the water pump and the opening degree of the first preset temperature control valve; according to the first flow flowing through the PTC branch, the second flow flowing through the radiator branch, the obtained first outlet temperature of the PTC and the obtained first inlet target temperature of an electric pile, the rotating speed of the water pump and the first outlet water temperature, corresponding to the opening degree of the first preset temperature control valve, of the radiator are calculated; according to the method, the water pump rotating speed and the first rotating speed and the first power consumption of the fan under the first preset temperature control valve opening degree are obtained according to the preset temperature control valve opening degree, the target power consumption is determined, the temperature control valve and the fan are jointly regulated, and the problems that power consumption is large and temperature control is unstable due to the fact that the fan and the temperature control valve are controlled separately in the related technology are solved.

The invention belongs to the technical field of fluid control, and particularly relates to a system for predicting nuclear power plant valve opening and flow nonlinear sudden change. The preprocessing and mechanism analysis module is responsible for performing deep processing and consistency review on the data acquired by the sensor, and performing modeling and parameter correction on flow sections of different types of valves in combination with a physical mechanism; the data driving prediction module is responsible for performing XGBoost modeling and reasoning on historical and real-time collected multi-dimensional data on the basis of a physical mechanism analysis result, outputting a fine prediction value of the valve flow and providing a more sensitive response for a nonlinear abrupt change region; and the hybrid model fusion and adaptive updating module is responsible for organically fusing prediction results of the physical mechanism model and the XGBoost model, dynamically adjusting model parameters according to real-time operation data, and realizing high-precision prediction and stable control of the valve flow. According to the invention, real-time and high-precision prediction of non-linear abrupt changes possibly occurring in different opening degree intervals of the valve is realized.

The invention provides an intelligent performance test method and system for a multistage series Roots vapor compressor. The method comprises the following steps: introducing vapor into equipment to be tested as a test medium; the to-be-tested equipment comprises a control unit, multiple stages of Roots vapor compressors connected in series, an interstage spraying device and a parameter detection unit; the opening degree of each valve in the pipeline valve assembly and the spraying water flow of the inter-stage spraying device are cooperatively controlled through the control unit, so that each stage of compressor in the to-be-tested equipment is stabilized at a preset test working condition point; after the to-be-tested equipment operates stably, acquiring steady-state operation data within a preset duration through a parameter detection unit; calculating a performance evaluation index of the to-be-tested equipment by using the steady-state operation data; the performance evaluation indexes comprise isentropic efficiency and / or volume efficiency of the compressor. The invention further provides a test system for implementing the method. According to the invention, through intelligent automatic control, the performance test of the multi-stage compressor is realized.

The invention relates to the technical field of automatic control, in particular to a linkage control method and system for a combustion-supporting fan and a gas valve of a rotary kiln, and the method comprises the steps: obtaining a combustion-supporting air flow sequence, a gas flow sequence and a gas valve opening sequence corresponding to a current time node, respectively carrying out first-order difference processing to obtain a combustion-supporting air flow first-order difference sequence, a gas flow first-order difference sequence and a gas valve opening first-order difference sequence; and outputting the fan frequency of the combustion fan and the opening degree of the gas valve by using an improved active-disturbance-rejection control algorithm, and performing linkage control on the combustion fan and the gas valve based on the fan frequency of the combustion fan and the opening degree of the gas valve. The problem that the control precision is not high under different working conditions is solved.

The invention is suitable for the technical field of nuclear power station control, and provides a nuclear power station valve opening degree control method which comprises the steps that when a control system detects that a flow instrument breaks down and first output power is larger than first preset power, the valve opening degree of a first control valve is controlled to be the maximum opening degree, the first output power is real-time output power, obtained through the control system, of the steam generator; and the valve opening degree of the second control valve is adjusted according to second output power, and the second output power is the real-time output power, obtained through the control system, of the steam generator and is larger than the first output power. The method can timely and accurately control the opening degree of the water flow control valve and reduce the loss of the nuclear power station.

The invention relates to the technical field of digital twinning, and particularly discloses a digital twinning-based stop valve intelligent control method, which comprises the following steps that a digital twinning model of a pipe network system is decomposed into a plurality of sub-models, and each sub-model corresponds to a stop valve and a corresponding associated pipe network area; monitoring data of a single stop valve are obtained, the monitoring data are transmitted to the corresponding sub-model, and the sub-model updates the model state according to the monitoring data; exchanging monitoring data among the sub-models to form a global data set, and calculating the opening degree adjustment amount of the stop valve based on the sub-models with updated model states and the global data set; and the opening degree adjustment amount is sent to a stop valve actuator, and the actuator drives the stop valve to act. According to the method, the overall hydraulic coupling state of the pipe network is sensed by dividing associated areas and exchanging data; and pressure fluctuation and hydraulic unbalance are effectively inhibited based on cooperative calculation of the valve opening adjustment amount.

The invention provides an air valve control method and device, equipment and a storage medium, relates to the technical field of automatic control, and solves the problem of poor sludge drying effect caused by air valve control lagging in related technologies. And the opening degree of the air valve is associated with the temperature change, so that the control problem of the air valve is converted into online quadratic programming solution, rolling optimization with constraints is carried out, the optimal control increment under the constraint condition is determined by integrating the control effect and the control cost, and then the air valve is adjusted. And the temperature field of the whole mesh belt area is controlled to be uniformly distributed in the drying treatment, so that the sludge drying effect is effectively improved, uniform drying can be realized in the sludge drying treatment, excessive and invalid air valve action and excessive drying of the dried area are avoided, air supply according to needs is realized, and energy conservation is facilitated.

A humidifier according to an embodiment of the present disclosure includes: a water tank forming a space in which water is held; a first humidification reservoir connected to the water tank through a supply tube, in which a heater is placed; a first valve opening and closing the supply tube; a second humidification reservoir connected to the first humidification reservoir through a first connection pipe, in which a vibrator is placed; and a middle tray placed below the water tank, and a weight sensor is placed in the middle tray, and when a weight value based on data sensed by the weight sensor is equal to or smaller than a first reference value in an operation stop state, the first valve is opened.

The invention relates to the field of valve control, in particular to a vacuum system pressure stabilization control method based on valve control. The vacuum system comprises a cavity and a vacuum pump communicating with the cavity through a valve, and the method comprises the steps that S1, based on cavity sampling pressure and target pressure, the target valve opening weight of the next period is calculated through incremental PID; s2, according to the relation between the pre-calibrated valve opening and the valve opening weight, the target valve opening corresponding to the target valve opening weight is obtained; and S3, adjusting the valve to the target valve opening, and returning to the step S1 until the current pressure of the cavity is adjusted to the target pressure. The chamber pressure control precision of the vacuum system can be improved.

The invention provides a concrete cooling water pipe dynamic flow regulation method and device based on reinforcement learning, and relates to the technical field of concrete cooling water pipe dynamic flow regulation. The method comprises the following steps: reconstructing a three-dimensional temperature field based on Kriging, fusing the three-dimensional temperature field with material and environmental parameters into a state vector, inputting a near-end strategy optimized reinforcement learning model, outputting each valve opening vector by a strategy network, evaluating a state value by a value network, and performing physical constraint verification before issuing, an opening instruction realizes closed-loop flow distribution through coarse adjustment of the main valve and fine adjustment of the piezoelectric micro valve, meanwhile, flow attenuation and pressure difference are monitored in real time, and ultrasonic waves and mechanical scraper cleaning are automatically triggered to ensure long-term stable operation of the system.

The invention relates to the field of fluid control devices in semiconductor liquid paths, and provides a precise control on-off valve for a semiconductor liquid path and an assembling method thereof, and the precise control on-off valve comprises a valve seat, a cylinder assembly combined on the valve seat, a diaphragm valve plate accommodated in the valve seat, and an adjusting wheel arranged on an upper cover of the cylinder. The air cylinder assembly comprises an air cylinder upper cover and an air cylinder body which are connected through a rotary lock catch structure, and a piston assembly and a limiting rod set are assembled in the air cylinder assembly. And the diaphragm valve plate is driven by the cylinder assembly to seal or separate from the valve port of the valve seat. The adjusting wheel is connected with the limiting rod set and used for adjusting lifting of the limiting lead screw, and then the maximum upward moving position of the piston assembly and the opening degree of the valve are precisely limited. The valve breaks through the bottleneck that a traditional mechanical valve is prone to abrasion and leakage, achieves the effect of precise fine adjustment of flow, and meanwhile greatly improves the flow stability of long-term operation and the clean safety of an ultra-pure fluid system.

The invention discloses an ammonia spraying real-time feedback regulation method based on an SCR (Selective Catalytic Reduction) denitration system, which comprises the following steps: dividing a cross section partition on an outlet flue of the SCR denitration system, and synchronously collecting a flue gas sample on the cross section partition; dynamically adjusting the flow of a cooling medium of a gas cold air coil pipe through a self-adaptive fuzzy PID control algorithm, and cooling and dehumidifying each path of collected flue gas sample to obtain a dry flue gas sample; the concentration of each path of dry flue gas sample is analyzed in real time, and the optimal ammonia spraying valve opening strategy of each cross section partition is predicted by combining the ammonia spraying amount of each path, the flue gas flow of the SCR denitration system, the unit load and the ammonia escape concentration and adopting a multivariable model prediction control algorithm; and according to the predicted optimal ammonia injection valve opening strategy of each cross section partition, the ammonia injection valves of the corresponding cross section partitions are adjusted, and real-time feedback adjustment of ammonia injection is achieved.

The invention relates to the technical field of flow metering, in particular to a temperature return control method of an intelligent control valve. The method comprises the following steps: receiving a temperature return control strategy sent by a user and a set value of specified temperature return, and judging an initial control parameter set according to the temperature return control strategy; real-time operation data are collected from the temperature sensing module and the flowmeter according to the sampling period, the return water temperature and flow at the current moment are obtained, and the return temperature deviation is calculated; calculating a control target value of the intelligent control valve by utilizing a model fuzzy logic predictive control algorithm based on the temperature return deviation; and the valve opening degree is adjusted based on the control target value, and the control parameters are dynamically corrected through the temperature return control strategy for self-adaptive temperature return control. According to the method, through a composite algorithm of fusing fuzzy logic control and model predictive control (MPC), on the basis that preliminary control signals are generated through fuzzy reasoning, a nonlinear system model is combined to carry out multi-step prediction on the future return water temperature change trend.