127 results about "Variable load" patented technology

The invention belongs to the technical field of welding workstations, and discloses a welding workstation robot welding path and positioner action collaborative optimization method, which comprises the following steps: constructing a weld importance-real-time working condition dynamic priority system through an analytic hierarchy process, and collecting thermal stress and deformation data in real time in combination with multiple sensors; the high-priority weld joint cooperation level with the heat deformation exceeding the threshold value is automatically adjusted up; meanwhile, establishing a'priority-equipment resource 'matching matrix to identify conflicts in advance; according to the design, working condition changes in the welding process can be dynamically adapted, the deformation problem caused by fixed priorities in a multi-welding-seam intersection area is avoided, manual interruption and adjustment are not needed, it is ensured that the robot and the positioner act collaboratively without resource preemption, it is ensured that the welding process is continuous and stable, and the welding quality consistency of multi-welding-seam workpieces is improved; a variable load coupling dynamic model is established based on a Lagrange equation, a load compensation item is embedded, and a coefficient is corrected online in real time.

The invention discloses a thermal power generating unit main reheating steam temperature wide-load self-adaptive adjusting method and system, relates to the technical field of electric power industry automation and control, and aims at solving the problems that an existing adjusting method is large in steam temperature fluctuation, high in thermal stress and poor in main reheating collaboration under the wide-load working condition. The method comprises the steps of calculating main steam phase saturation and mapping a target value; calculating the maximum change rate based on the thermal physical parameters of the material, and generating a reference track with the limited change rate; the steam phase saturation of the main steam is used as a phase reference, and the reheated steam is controlled to respond according to a preset phase difference; a combustion system, a flue gas temperature adjusting baffle and a temperature reducing water system are cooperatively controlled; the system comprises a vapor phase saturation processing module, a dynamic boundary generation module, a phase coordination control module, an execution mechanism coordination module, a steady state detection module and a mode switching module. Accurate steam temperature adjustment under the wide load is achieved, material thermal stress is reduced, unit operation safety and economical efficiency are improved, and the variable-load operation requirement of the unit is met.

The invention relates to the technical field of coal-fired unit energy flow analysis and prediction, in particular to a coal-fired unit boiler energy flow analysis and prediction method under rapid variable load, which specifically comprises the following steps of: firstly, combining a thermodynamic physical framework with a recurrent neural network, and representing a function relationship between a time-varying parameter and a state variable in a mechanism model through a neural unit; rapid fluctuation of energy in the boiler is accurately captured; secondly, a multi-mode switching strategy based on an attention mechanism is introduced, flexible switching is carried out between a strong coupling state and a weak coupling state, and the prediction precision under high-speed load change is guaranteed; and finally, introducing an error compensation model, and dynamically correcting a hybrid model prediction residual error. According to the method, physical constraints of mechanism modeling, multi-mode switching of an attention mechanism and an error compensation model are integrated and fused, so that the problems that most of hybrid modeling studies in the prior art mainly focus on steady-state or finite transient prediction, and studies on energy flow dynamic characteristics under rapid load change are still relatively deficient are solved.

The invention discloses a hydraulic pump dynamic flow control method and system based on load feedback, and relates to the technical field related to hydraulic pumps, and the method comprises the steps that the load pressure of a hydraulic pump is monitored in real time, a first load pressure signal is generated, and a target flow parameter is set; a load pressure-flow mapping graph is constructed through dynamic mapping; dynamically responding to generate load compensation parameters to carry out load control on load pressure; and deviation calculation is carried out on the target flow parameter based on the second load pressure signal, a flow deviation signal is obtained to carry out dynamic flow control on the hydraulic pump, a flow displacement control result is fed back to carry out real-time correction on the load compensation parameter, and a flow closed-loop backtracking control channel is constructed. The technical problems that in the prior art, the flow control response of the hydraulic pump is lagged under the variable load working condition, the control precision is insufficient, and the energy efficiency is low are solved, and the technical effects that the dynamic response speed, the control precision, the stability and the energy efficiency of flow control of the hydraulic pump are improved are achieved.

The invention relates to the technical field of engineering machinery control, and discloses a hydraulic control system under a variable load piling working condition, which comprises a multi-dimensional state acquisition module, a fluid parameter observation module, a signal reconstruction decoupling module, a virtual impedance mapping module and a fluid phase locking control module. The acquisition module acquires a basic physical state; the observation module solves the effective volume elastic modulus of the hydraulic oil based on a fluid continuity equation; the reconstruction module utilizes the modulus to correct signal lag, reconstructs external load force through an inverse dynamic model and decouples environmental acoustic impedance; the mapping module dynamically generates a target mechanical impedance parameter according to the environment impedance; and the control module calculates an ideal instruction based on the target parameter, corrects the gain by utilizing the fluid modulus and locks the rebound peak phase to adjust the action time sequence of the valve core. Control distortion caused by fluid parameter drift is solved, active flexible adaptation to variable load geology is achieved, energy hedging is avoided, and operation efficiency is improved.

The invention relates to the technical field of robot motion, in particular to a variable load working condition heavy-load mechanical arm kinematics parameter calibration method and system. The method comprises the steps that joint angle parameters and theoretical Standard D-H model parameters are determined; the theoretical position of the end effector in the ideal state is determined; the actual position is determined, and the position error of the end effector is determined; the deflection under the preset load condition is determined, and corrected D-H model parameters are obtained; determining a load effect based on the parameter structure characteristics; introducing the load effect as a correction item into a parameter updating formula of a preset LM algorithm, and designing an adaptive compensation coefficient to adjust the contribution degree of the load effect; and dynamically adjusting the adaptive compensation coefficient through a convergence index in an iteration process of the LM algorithm. According to the method, the calibration precision of the kinematics parameters of the mechanical arm can be improved under the variable load working condition.

The invention discloses a deep peak regulation control method and device, electronic equipment and a storage medium, and relates to the technical field of data processing.The dynamic coupling relation between boiler combustion delay and turbine regulation characteristics is considered, and time-varying coupling compensation parameters are generated through a coupling compensation model; cooperative control over parameters such as main steam pressure is achieved in combination with a multi-parameter combined control framework, the response speed is dynamically adjusted by adopting a variable load rate self-adaptive adjustment algorithm, accurate matching of dynamic characteristics of the turbine and the boiler and optimization of control logic are achieved, and therefore the control efficiency is improved. The technical problems that in the prior art, due to the fact that the dynamic coupling relation between a boiler and a steam turbine is not fully considered, main steam pressure fluctuation exceeds the standard, ammonia spraying amount control is not accurate during deep peak shaving, and then safe and stable operation and economic performance of a unit are affected can be solved. The technical effects of reducing main steam pressure fluctuation, accurately controlling the ammonia spraying amount, guaranteeing safe and stable operation of the unit, ensuring that the environmental protection index reaches the standard and improving the flexible operation performance and the economical efficiency of the thermal power unit are achieved.

The application relates to a main shaft fault identification method for a wind driven generator under a variable load operation state, and the method comprises the following steps: acquiring and storing at least two equal-angle interval sampling vibration signals in orthogonal directions in the radial plane of the front and rear rolling bearings of the main shaft and corresponding rotating speed signals; judging whether the storage amount of the equal-angle interval sampling vibration signals reaches a preset storage amount, if the judgment is yes, performing order spectrum calculation on the equal-angle interval sampling vibration signals, and extracting a fault feature vector; judging whether to trigger main shaft fault diagnosis according to a real-time vibration effective value, if the judgment is yes, inputting the fault feature vector into a pre-constructed confidence rule base model, obtaining the confidence degree distribution of each fault state through confidence reasoning, and identifying the unbalance and misalignment faults of the main shaft of the wind driven generator according to the confidence degree distribution. Compared with the prior art, the application can accurately extract non-stationary fault features under the variable load operation state of the wind driven generator, and improves the accuracy and reliability of fault diagnosis.

The application provides a coupling system and a control method for improving the variable load rate of a secondary reheat unit integrated with a medium-temperature energy storage, wherein the medium-temperature energy storage system is connected with the high-pressure cylinder outlet through a high-pressure cylinder outlet steam extraction valve during the energy storage process, is connected with the deaerator outlet through a pressure relief valve, is connected with the feed water pump outlet through a deaerator outlet regulating valve during the energy release process, and is connected with the boiler feed water inlet through a pipeline, so as to form a secondary reheat unit integrated with the medium-temperature energy storage; and a load splitting method is provided, which splits the whole unit load instruction into a medium-temperature energy storage system load instruction and a secondary reheat unit boiler coordination system load instruction, and the medium-temperature energy storage system load instruction is realized through high-pressure cylinder exhaust valve opening degree control and deaerator outlet regulating valve opening degree control in the load decreasing and increasing processes; through the coupling system and the load splitting method, the time-space transfer of the unit energy in the variable load process is realized, the variable load rate of the secondary reheat unit is improved, and the flexibility of the unit is enhanced.

The invention relates to the technical field of fluid machinery control, in particular to a cross flow fan variable load energy-saving operation control method which comprises the steps that 1, operation parameters of a cross flow fan are collected in real time; 2, the real-time load coefficient of the cross flow fan is calculated based on the collected operation parameters, and the calculation process comprises the steps that the actual output power of the fan is calculated, the theoretical output power of the fan is calculated, the ratio of the actual output power to the theoretical output power serves as the power ratio, and the real-time load coefficient is obtained; 3, querying a speed-load mapping table according to the real-time load coefficient to determine the optimal running speed of the cross flow fan; 4, the running speed of the cross flow fan is adjusted to the optimal running speed; and 5, repeating the steps 1 to 4 to form closed-loop control. Through a real-time monitoring system formed by various sensors, synchronous acquisition of multiple parameters such as current, airflow pressure, airflow temperature and environment temperature is realized.

The application provides a large-scale algal cultivation rope constant tension control device and method under variable load, comprising a bottom plate, wherein the bottom plate is provided with a first rope pulling machine for maintaining the tension of the cultivation rope during the large-scale algal harvesting process, a second rope pulling machine for simulating the load force borne by the first rope pulling machine when the cultivation rope is dragged during the large-scale algal harvesting process, and a rope unwinding machine located between the first rope pulling machine and the second rope pulling machine and used for winding the cultivation rope, and the drive motors in the first rope pulling machine and the second rope pulling machine are connected with a PLC controller; the application has the beneficial effects that: a land-based constant tension test bench system is designed, the tension of the cultivation rope with large-scale algae is kept relatively stable under the variable load state, or the dragging is automatically paused when the dragging is stuck, the sudden disappearance of the force borne by the cultivation rope is avoided, the cultivation rope is prevented from being cut off by the knife due to the vertical oscillation or being pulled off due to the excessive force, a reference basis is provided for the actual application at sea, and the safety of the large-scale algal cultivation rope during the dragging process is ensured.

The invention discloses a system and a method for measuring the electrostrictive strain of a ferroelectric material under variable temperature and variable load conditions. The system comprises a thermal field generation unit, a test signal generation unit, a strain measurement unit and an equipment control and data analysis unit. The method comprises the following steps: setting a temperature through a thermal field generation unit and changing the temperature according to a test requirement; adjustable voltage excitation is generated through the test signal generation unit; the strain measurement unit is used for measuring the output micro mechanical displacement of the to-be-measured sample generated by the electrostrictive strain effect under the real force load condition; and the equipment control and data analysis unit is used for generating an electrostrictive strain loop and a real-time strain curve. The device is suitable for ferroelectric samples in various forms, high-stability and high-sensitivity electrostrictive strain testing can be achieved in complex thermal field and force field environments, and a stable electrostrictive strain loop and a real-time strain curve can be generated.

The invention relates to a method for operating a process plant (200), the process plant comprising one or multiple plant components (212) operated by providing electrical power received from a grid or isolated network in order to perform one or multiple processes (202), wherein the process plant (200) is configured to operate at a load up to a given maximum plant load, the method comprising: Controlling the one or at least one of the multiple processes (202) by providing electrical power to the respective plant component ( 212) based on variable load operating information (272), within a variable load control mode (270), and based on base load operating information (262), within a base load control mode (260), wherein, within the base load control mode, the process plant is operated at a load only up to a maximum base load, wherein the given maximum base load is less than the maximum plant load; wherein the variable load control mode (270) further comprises: Providing load availability information (272) about a currently used load at which the process plant is operating and / or about a currently available load which the process plant can in addition be operated at, preferably to a grid service provider (290); if additional load is demanded to be assigned to the process plant, Receiving load demand information (276) in response to providing the load availability information; and Adapting the variable load operating information (272) based on the load demand information (276).

The invention discloses an industrial steam extraction combined heat and power generation frequency modulation system and an industrial steam extraction combined heat and power generation frequency modulation method adapting to a variable load condition, and relates to the technical field of combined heat and power generation. The problems that the heat storage capacity is limited and the frequency modulation capacity is low due to the fact that only reheating hot section steam is utilized at the present stage are abandoned, and in the sliding temperature operation mode, due to the fact that the temperature of main steam and the temperature of reheating steam can be changed by unit variable loads, the change trend of the steam extraction amount is completely opposite to the steam extraction temperature in the frequency modulation process, and the heat storage capacity is limited. Therefore, the outlet temperature of the heated molten salt is controlled by changing the sensible heat exchange amount of the main steam superheating heat exchanger and the reheating hot section steam superheating heat exchanger, and through the control strategy that the temperature is dynamically adjusted to be stable through the flow branches and the molten salt flow distribution of the main steam superheating heat exchanger and the reheating hot section steam superheating heat exchanger, the heat exchange efficiency of the molten salt is improved. The stability of the temperature of the heat storage medium in the heat storage process is greatly improved, and finally efficient operation of the system is achieved.

This invention discloses an intelligent operation and control method and system for cold storage and subcooling cold storage. The method includes: acquiring basic parameters and real-time monitoring data of the cold storage; calculating the real-time load and short-term load change trends of the cold storage through a dynamic load prediction model; formulating an operation strategy based on load factor and time-of-use electricity price information, and intelligently selecting normal cooling, combined cooling with cold storage, or combined cooling with cold release and subcooling modes; achieving smooth switching between the three modes by adjusting the operating status of the compressor unit, electronic expansion valve, electric valve, and water pump; and continuously optimizing the load prediction model and control strategy using real-time feedback of the system's operating status. This invention achieves coordinated control of the cold storage and subcooling processes, improving the system's energy efficiency and operational economy under variable load conditions, and is applicable to the energy-saving and optimized operation of various types of cold storage and subcooling cold storage facilities.

A cantilever arm (1, 20, 25, 40, 50, 60, 70) capable of being fixed at one end to an object, the cantilever arm comprising a resilient material and designed to receive a variable load (4), having a flat body (11) arranged with a surface adjusted vertically in operation, the cantilever arm having, in the operating position, a height (v) defined by an upper end region (6) and a lower end region (7), and a fixed side region (2) for fixing the cantilever arm (1, 20, 25, 40, 50, 60, 70) to the object. and on the other hand by its opposite cantilevered region (8), the cantilever arms (1, 20, 25, 40, 50, 60, 70) further comprising a force application device designed to support a load (4), the flat body (11) of the cantilever arms (1, 20, 25, 40, 50, 60, 70) comprising a deformation opening (10) and a connection device for a deformation sensor for measuring the deformation of the cantilever arms under the current load (4). The deformed opening (10) is formed by the flat body (11), penetrates the flat body, and is completely surrounded by the flat body, all edge areas of the deformed opening are in the plane of the flat body (11), the deformed opening has a horizontal extension (h) defined by the fixed side region (2) and the cantilever side region (8), and a vertical extension (v) defined by the upper end region and the lower end region, and under each current load (4), The cantilever arm (1, 20, 25, 40, 50, 60, 70) is configured to deform in a predetermined manner in response to a force applied thereto, the force application assembly being formed by the body (11) of the cantilever arm (1, 20, 25, 40, 50, 60, 70) and designed such that, in the operating position of the cantilever arm (1, 20, 25, 40, 50, 60, 70, at least a portion of the load (4) is introduced into the cantilever region (8), and the connection device is designed to clamp the deformation sensor between the fixed region (2) and the cantilever region (8) and to enable the sensor to be operational. The cantilever arm (1, 20, 25, 40, 50, 60, 70) is simple in design, inexpensive to manufacture, and allows for highly accurate measurement of a variable load (4) using a deformation sensor (35).

This invention discloses an automatic start-up and load-variable control method for an air separation argon purification system. Automatic start-up, load-variable operation, and steady-state adjustment of the argon purification system no longer require operator intervention; operators only need to change the system's load flow rate setpoint. During automatic start-up, load-variable operation, and steady-state adjustment, the system operates stably, and the nitrogen content of the liquid argon in the product meets requirements. This completely solves the problems of easy overpressure in the argon purification tower and the necessity of discharging substandard liquid argon during the initial automatic operation of the argon purification system, eliminating safety hazards and saving energy consumption. When the argon purification system is operated at reduced load, the minimum load can reach 20% of the normal load, and the operating conditions remain stable, while the product quality still meets requirements. This solves the problem of frequent start-up and shutdown of the argon purification system when user usage fluctuates significantly.

The application discloses a wheel speed correction method for intelligent driving, and the speed time coefficient calibration method under different road conditions and variable load conditions is used in an IMU+wheel speed fusion odometer scheme, wheel speed error is reduced, and the precision of the local odometer is improved. In addition, the final result is to generate a speed scale coefficient lookup table. Through calibration, the GNSS signal is fixed in the lookup table, the situation without GNSS can be met, and because there is no online calibration calculation, the computing power is saved, the computing power requirement of the operation platform is relatively low, and the embedded scheme is promoted.

The invention discloses a variable load control method and system for a circulating fluidized bed boiler, and relates to the technical field of energy and power engineering.According to the scheme, in response to a load increasing instruction, a first coal feeding amount is determined based on a target load, and a target circulating ash amount is determined based on the first coal feeding amount; and controlling the first discharging device to release the circulating ash hot material of the target circulating ash amount to the reaction bin, and controlling the second discharging device to release the coal of the first coal feeding amount to the reaction bin. And the fan is controlled to release the target air amount of secondary hot air to the reaction bin, or the fan is controlled to release the target smoke amount of smoke to the fan, so that a thermochemical conversion reaction occurs in the reaction bin, and combustible gas generated by the thermochemical conversion reaction is released to the hearth. And controlling the third discharging device to release solid materials generated by the thermochemical conversion reaction to the hearth. The thermochemical conversion reaction is realized in the reaction bin, and the reaction product is fed into the hearth, so that the load rate per liter is increased.

The invention discloses a load-variable large-capacity dry-type transformer which comprises three main iron core columns arranged in parallel, the two ends of all the main iron core columns are jointly connected with a main iron yoke, the outer sides of the main iron core columns are sleeved with low-voltage windings, the outer sides of the low-voltage windings are sleeved with high-voltage windings, the main iron core columns and the main iron yoke are connected in a hinged mode, and the high-voltage windings are connected with the main iron yoke in a hinged mode. The main iron core columns can rotate relative to the main iron yoke. The split type iron yoke hinge system is adopted, each group of main iron core columns are connected with the top iron yoke through the universal bearings, so that 0-30-degree dip angle adjustment is supported, and when the load changes, the magnetic circuit coupling degree between the main iron core columns is changed by driving the dip angles of the iron core columns. According to the technical scheme, the no-load rate of the large-capacity dry-type transformer can be reduced when the large-capacity dry-type transformer deals with different loads, so that the large-capacity dry-type transformer adapts to changes of more load end requirements, the operation applicability and stability are improved, and the effective power efficiency is improved.

The invention belongs to the related technical field of hydraulic servo control systems, and discloses a humanoid robot hydraulic driver position servo self-adaptive control method and system oriented to variable load working conditions. The method comprises the following steps: establishing a mathematical model of a to-be-controlled object hydraulic driver and converting the mathematical model into a state-space equation; according to the state-space equation of the to-be-controlled object, establishing an extended state observer to observe the state and total disturbance of the to-be-controlled object in real time; according to the state and the total disturbance observed by the expansion state observer in real time, a backstepping controller is designed to control the to-be-controlled object, so that the actual displacement of the to-be-controlled object is close to the expected displacement, when the backstepping controller is designed, an adaptive law is established for the load quality in the backstepping controller, and the actual displacement of the to-be-controlled object is controlled. Therefore, the dynamic change of the load in practical application is met. According to the invention, the problems of low tracking precision and weak robustness of hydraulic driver position control under a variable load working condition are solved.

The invention belongs to the technical field of fuel gas wall-hanging stove efficiency evaluation, and particularly relates to a fuel gas wall-hanging stove efficiency detection evaluation method and system.The method comprises the steps that a condensation type wall-hanging stove is started and made to operate under the variable load condition, and first and second thermal parameters and energy consumption operation parameters are synchronously collected in real time; and according to the first thermal parameter, obtaining a preliminary real-time efficiency index, judging the stability of the preliminary real-time efficiency index, determining a preliminary evaluation efficiency index, identifying a smoke exhaust abnormal point according to the second thermal parameter, carrying out statistics on a smoke exhaust abnormal index, finally correcting the preliminary evaluation efficiency index through the smoke exhaust abnormal index, and outputting a final efficiency index. According to the method, the adaptation to the real operation scene of the wall-hanging stove is realized, the preliminary evaluation efficiency index is corrected in combination with the smoke exhaust abnormity, so that the final evaluation result can truly reflect the actual efficiency level of the wall-hanging stove, and on the other hand, a clear direction is provided for tracing and processing subsequent efficiency abnormity.

The application provides a kind of quick variable load under coal mill group economic safety optimization control method, it is related to coal-fired generating unit operation control technical field.The method comprises: obtaining the operation associated data of the coal-fired generating unit to be controlled in target variable load period;Determine the load change demand information, the output boundary information of each coal mill under corresponding coal quality and target pulverizing demand information;Generate a plurality of candidate control schemes including coal mill operation combination information and coal quantity distribution information;Determine the target control scheme according to the pulverizing economic evaluation information, the boiler safety evaluation information and environmental protection evaluation information, and generate coal mill group control instruction.Through the method provided in the application, the matching of coal mill operation mode and quick variable load condition can be improved, and the pulverizing economy is mainly considered, and the boiler safety and environmental protection constraints are considered.

The application discloses a steam turbine main control auxiliary pressure regulating control system and control method under variable load conditions, which comprises a unit load instruction forming loop, a steam turbine main control load set value forming loop and a steam turbine main control instruction forming loop; the steam turbine main control load set value forming loop is composed of a primary frequency modulation load instruction input, a main steam pressure deviation correction loop and a steam turbine load instruction forming loop; the main steam pressure deviation correction loop and the steam turbine main control load set value forming loop together with the primary frequency modulation load instruction constitute a steam turbine main control regulator set value; the steam turbine main control regulator performs PID operation according to the set value and an actual load to obtain a steam turbine main control instruction; and the unit load instruction forming loop independently acts on a boiler side control system. The application improves the unit load change rate and reduces the main parameter fluctuation of the unit under the premise of ensuring the stability of the main steam pressure by means of fuzzy control and predictive control technology, and meets the requirement of the power grid for fast response to the load.

The application discloses a fuel cell variable load control method, device and storage medium. The control method comprises the following steps: obtaining the real-time temperature of the fuel cell during the variable load process of the fuel cell; determining the voltage upper limit value corresponding to the current temperature based on a preset temperature and voltage upper limit value mapping relationship, wherein the preset temperature and voltage upper limit value mapping relationship is configured such that the voltage upper limit value decreases with the increase of the temperature; and controlling the real-time voltage of the fuel cell to be not higher than the voltage upper limit value during the variable load process of the fuel cell. The fuel cell variable load control method, device and storage medium provided by the application aim to reduce the attenuation rate of the fuel cell during variable load at high temperature, thereby prolonging the service life of the fuel cell.

The invention belongs to the technical field of air separation plant intelligent control, and discloses an air separation plant intelligent variable load control method and system based on mechanism-data fusion deep learning. Comprising the steps of constructing a space division process dynamic model; training and generating a control sequence based on the operation strategy and the physical constraint; the control sequence is applied to the space division process dynamic model, and a model prediction value is generated; acquiring operation data of an actual system, comparing the operation data with a model predicted value, calculating deviation, importing historical data to carry out feedback correction and rolling optimization on the space division process dynamic model, and continuously correcting the space division process dynamic model until the deviation reaches a set threshold range; and inputting the corrected space division process dynamic model and historical data into a neural network model, training to obtain a mechanism-data fusion learning model, and connecting a control system through a data stream. The load of the air separation equipment is controlled based on a mechanism-data fusion learning model, and the problems of more energy waste and unstable product quality of variable load operation can be solved.

The invention relates to a reinforcement learning variable load pressure control method and system based on enthalpy value calculation, computer equipment and a computer readable storage medium, and the method comprises the steps: continuously learning and optimizing a control strategy in the operation of a unit through employing the self-adaptive capability of reinforcement learning, introducing a neural network model, predicting the feature changes of a load and system pressure in advance, and improving the control precision. The problems of insufficient control precision and large pressure fluctuation caused by poor adaptability and lack of foresight of a traditional fixed model under the variable load working condition are solved, and real-time adaptation to influences of dynamic factors such as coal quality changes, starting and stopping disturbance, continuous variable load conditions and equipment aging is achieved; the technical effects of improving the response speed of the unit to the rapid variable load, reducing pressure fluctuation, reducing energy loss and equipment abrasion and improving the overall operation efficiency and reliability of the unit are achieved.

The application discloses a circulating fluidized bed boiler with process heat storage and a variable load adjusting method thereof. The circulating fluidized bed boiler with process heat storage comprises a furnace and at least one set of external circulation units. The furnace is used for burning fuel and oxidants to obtain external circulation materials and internal circulation materials. An upper portion of the furnace is provided with a gas-solid product outlet. The external circulation materials are discharged through the gas-solid product outlet. The internal circulation materials are circulated in a dense phase zone at the bottom of the furnace. Each set of external circulation units comprises a separation and return device and a heat storage chamber. The separation and return device is connected with the gas-solid product outlet and is used for separating the gas-solid product to obtain the external circulation materials. The heat storage chamber is connected with the separation and return device and the dense phase zone at the bottom of the furnace. In the load reduction adjusting stage, the heat storage chamber is used for receiving and storing part of the external circulation materials from the separation and return device and part of the internal circulation materials from the dense phase zone.

The present application relates to the technical field of coal-fired unit monitoring, and particularly relates to a coal-fired unit intelligent monitoring method, which obtains the multispectral image and temperature field time series data of the heating surface of the coal-fired unit under variable load operation, establishes a multi-modal feature data set in combination with thermal load, flue gas component and other sensing data, establishes a multi-factor influence weight matrix, generates a laboratory accelerated slagging test spectrum through simulation and combines a real evolution spectrum collected through actual monitoring, matches and aligns the time periods with equivalent thermal damage effects in the two spectra based on the weight matrix, generates space-time alignment data, uses the space-time alignment data to generate a basic prediction value through thermal dynamics modeling, and finally realizes accurate quantitative monitoring of the slagging evolution process through interactive calculation of the material-flue gas coupling factor for correction in combination with material anti-sludging parameters and working conditions.