1538 results about "Heat power" patented technology

The invention discloses a hydrogen fuel cell vehicle ultralow temperature cold start thermal management system, and relates to the technical field of hydrogen fuel cell vehicle thermal management, the hydrogen fuel cell vehicle ultralow temperature cold start thermal management system comprises a thermal management platform, the thermal management platform is in communication connection with the following modules: a temperature monitoring and predicting module, and the temperature prediction module is used for monitoring the temperature of key parts in the hydrogen fuel cell by using the temperature sensor and predicting the change trend of the temperature in the fuel cell in combination with the temperature prediction model. By utilizing the high-precision temperature sensor and the long-short-term memory network model, the internal temperature change trend of the fuel cell is pre-judged in advance, the heating power is dynamically adjusted, it is ensured that the temperature of the cell is rapidly increased to the proper working temperature in the ultralow-temperature environment, starting difficulty caused by local supercooling is avoided, the low-temperature starting time is remarkably shortened, and the starting efficiency is improved. The reliability and the stability of the system in an extreme environment are improved, and the normal operation of the hydrogen fuel cell vehicle in a cold region is guaranteed.

The invention discloses an electric heating cooker uniform temperature control method and system for gradient temperature difference regulation and control, and relates to the technical field of temperature control, the method comprises the following steps: dividing an internal heating area of a target electric heating cooker, arranging temperature sensors, and acquiring meal temperature data of N subareas in real time through a subarea temperature sensor array; constructing a gradient temperature difference model based on meal heat conduction information and food material characteristic information, and performing deviation calculation on the meal temperature data of the N sub-regions based on the gradient temperature difference model to obtain temperature deviation data of the N sub-regions; and a PID controller is adopted to perform heating power analysis on the temperature deviation data of the N sub-regions, and the heating power adjustment amount of the N sub-regions is determined to control the target electric heating cooker to perform uniform-temperature heating control. The technical effects of realizing uniform temperature control of the electric heating cooker, effectively solving the problem of local overheating or half-cooking caused by a traditional heating mode, ensuring uniform heating of meals and improving the heating quality are achieved.

The invention discloses a nodular cast iron pipe continuous annealing furnace temperature distribution optimization control system and method, and belongs to the technical field of temperature control, and the system comprises a temperature detection module, a data processing module, a control module and a fault diagnosis module; the temperature detection module is used for collecting temperature data in the nodular cast iron pipe annealing furnace in real time; the data processing module is used for preprocessing and analyzing the collected temperature data and constructing a temperature distribution model; the control module comprises a temperature optimization unit and an energy optimization unit; the temperature optimization unit is used for calculating the temperature adjustment amount according to the real-time temperature distribution condition in the furnace in the length direction, the radial direction and the circumferential direction, and formulating a partition heating and local compensation strategy; the energy optimization unit is used for dynamically adjusting the heating power according to the change of the production takt, and generating a dynamic heating strategy; the fault diagnosis module is used for monitoring the operation state of the nodular cast iron pipe annealing furnace in real time and conducting fault detection.

The invention provides an immersed liquid cooling device, a control method and a system, and relates to the technical field of heat dissipation, the temperature of an inlet and an outlet of a chip-level evaporator at a chip and the highest temperature of the chip are obtained in real time through a preset sensor, and the corresponding relation between the inlet and outlet temperature difference and a preset threshold value is determined; if the outlet temperature difference is smaller than the preset threshold value, the valve opening degree of a pipeline valve corresponding to the outlet temperature difference is controlled to be reduced along with increasing of the outlet temperature difference according to a preset adjusting method, and the valve opening degree is determined in real time; when the valve opening degree reaches the minimum value and the outlet temperature is still smaller than the preset threshold value, the target fan rotating speed is determined through a first preset formula according to the chip highest temperature and the chip heating power; and if the outlet temperature difference is equal to the preset threshold value, the target fan rotating speed is determined according to the chip highest temperature and the chip heating power. According to the invention, the problem that an immersed liquid cooling device, a control method and a system which are controllable in cooling object and cooling effect and wide in application range are lacked in the prior art is solved.

The invention relates to the field of energy allocation, and discloses a regional building group multi-energy complementary cooperative regulation and control method, which comprises the following steps of: acquisition processing: acquiring multi-energy data in a regional building group by utilizing multiple sensors, and preprocessing to obtain processed data; load prediction: inputting the processed data into an LSTM-Attention mixed deep learning model, performing fusion calculation in combination with a grey prediction model, and outputting a cold and heat power ultra-short-term load prediction result; and cooperative regulation and control: based on the load prediction result and the real-time operation parameters of the building air conditioning system, the electric vehicle and the multi-element energy storage system of the building group. Multi-energy data in a regional building group are collected and preprocessed through multiple sensors, an LSTM-Attention mixed deep learning model and a grey prediction model are fused to calculate a load prediction result, an interactive regulation and control model is constructed based on load prediction and real-time equipment parameters, and a collaborative regulation and control strategy is formulated and executed.

The invention provides a high-voltage switch cabinet anti-condensation method based on simulation optimization and a storage medium. A three-dimensional physical structure model of the high-voltage switch cabinet is established in simulation software, material attributes and boundary conditions of all parts are set, steady-state or transient simulation calculation is carried out, and distribution of a temperature field, a humidity field and a flow velocity field in the cabinet is obtained. And on the basis of a simulation result, constructing a dew point distribution matrix, identifying condensation risk areas, and extracting geometric center, volume and temperature and humidity characteristics of each risk area. And the arrangement point and the power level of the heater are determined by calculating the heating power required by each condensation risk area, so that the anti-condensation design of the high-voltage switch cabinet is realized. According to the method, the condensation risk area in the cabinet can be accurately identified, the configuration of the heating power is optimized, and the balance and high efficiency of the anti-condensation effect are ensured. According to the invention, the precision and reliability of the anti-condensation design are improved, the problem of excessive heating or insufficient heating is avoided, and the safe and stable operation of the high-voltage switch cabinet in a complex environment is ensured.

The invention discloses a gas-heat-electricity balance management and control method and system for a kilowatt-level SOFC (solid oxide fuel cell) cogeneration system, and belongs to the field of solid oxide fuel cells. The method comprises the following steps: setting initial operation parameters according to structure parameters and design working conditions of an SOFC electric pile, a heat exchanger, a reformer and a catalytic burner; a module start-stop coordination instruction is generated through the integrated controller, and temperature and pressure changes of all the modules in the start-stop process are controlled; system operation data are monitored in real time through a sensor, real-time diagnosis is conducted through a multi-dimensional data fusion algorithm, and abnormal states such as over-burning, over-air and temperature runaway are recognized; and according to the diagnosis result, the fuel flow, the air flow, the heat exchange power and the like are adjusted through a multivariable dynamic regulation and control strategy, so that reactor temperature fluctuation is controlled, and a temperature runaway early warning signal is generated. According to the method, the overall stability and efficiency of the SOFC combined heat and power system are improved by optimizing gas-heat-power balance management and control.

The invention discloses a temperature and humidity adaptive control system and method for drying flower traditional Chinese medicinal materials, and the system comprises a humidity gradient monitoring module which is used for deploying a 12-channel capacitive humidity sensor spiral array and a laser radar, generating a three-dimensional humidity field thermodynamic diagram in combination with a Kriging interpolation method, calculating a humidity gradient change rate in real time, and carrying out the early warning of local abnormality; the heat-humidity ratio regulation and control module is used for integrating humidity gradient monitoring data and a real-time result of the evaporation latent heat calculation module based on a fuzzy PID algorithm, dynamically adjusting the heating power and the rotating speed of a dehumidification fan, and meanwhile, integrating a PVDF piezoelectric film sensor to monitor petal stress; the evaporation latent heat calculation module is used for predicting a future evaporation rate by combining an LSTM neural network based on an edge calculation unit and providing key parameters for the energy supply matching module; the energy supply matching module is used for outputting a combined control instruction of the heating power and the air door opening degree; and the air volume balance optimization module is used for dynamically adjusting air volume distribution according to the humidity gradient monitoring data.

The invention belongs to the technical field of liquid cooling system control, and discloses a rotating speed prediction and control method for a charging gun liquid cooling system, and the method comprises the steps: obtaining the performance parameters of key parts, including a radiator, a water pump, a fan, a gun line and a liquid storage tank, in the liquid cooling system; inputting the performance parameters into the one-dimensional simulation model to obtain the highest temperature Tcoolant of the cooling liquid under different working conditions; on the basis of the Tcoolants under different working conditions, the relationship between the different working conditions and the Tcoolants is fitted, so that a rotating speed prediction model is obtained; the environment temperature and the gun line resistor heating power under the target working condition are input into the rotating speed prediction model, under the constraint met by Tcoolant, multiple sets of rotating speed combinations meeting the constraint are obtained through prediction, and the rotating speed combination enabling the total energy consumption of the liquid cooling system to be the lowest is selected from the multiple sets of rotating speed combinations to serve as the optimal rotating speed combination of the target working condition; and during charging, the fan rotating speed and the water pump rotating speed are regulated and controlled in real time based on the optimal rotating speed combination. The system has the advantages of advanced adjustment, quick response, energy conservation, high efficiency and the like.

The invention provides a dynamic control method and system for hot-pressing plugging process parameters of a network cable end electronic wire, which realizes real-time optimization of the process parameters through a dynamic compensation technology, dynamically calculates an initial heating temperature and a riveting depth based on a wire diameter, an insulating layer thickness, a copper alloy hardness and an environment temperature, and realizes the hot-pressing plugging process parameters of the network cable end electronic wire. A compensation formula is combined with a conductor diameter compensation coefficient, a hardness compensation coefficient and an environment temperature compensation coefficient, heating temperature fluctuation and riveting pressure displacement deviation are monitored in real time, Z-axis displacement is adjusted by controlling a servo motor, a temperature-pressure coupling compensation model is established, and heating power and riveting pressure are dynamically corrected. And the online quality detection module corrects subsequent batch parameters in a self-adaptive manner at a learning rate eta = 0.2 through continuous five batches of data, so that the riveting depth precision and the connection strength are ensured to reach the standard, intelligent dynamic control of the hot-pressing plugging process is realized, and the product percent of pass and the production efficiency are improved.

The invention belongs to the technical field of intelligent home control, and particularly relates to an electric blanket intelligent temperature control system, which analyzes the matching relationship between the heating power and the temperature response in the historical operation cycle of a plurality of independent subareas of an electric blanket, fuses the thermal coupling effect between the subareas, and independently quantifies the dynamic thermal inertia parameter of each subarea. Based on the independent temperature change trend and the real-time temperature deviation of each partition, a control state including a steady state, a transient state or a strong compensation state is decided and maintained for each partition, the dynamic thermal inertia parameter, the real-time temperature deviation and the current control state are integrated, differentiated feed-forward compensation amounts are generated and superposed to the output of a PID controller of the corresponding partition, and the control state of the corresponding partition is calculated. A final power control instruction is generated after amplitude limiting and smooth filtering, temperature response lag caused by thermal inertia is actively predicted and counteracted, precise control is achieved in combination with partition state recognition, and the system response speed and control stability are remarkably improved.

The invention discloses an active prediction type modular battery thermal management system, which comprises the following steps: a liquid path and electrical connection module, a data acquisition module, a communication transmission module, a working condition identification module, a feedback control module, a cooperative control module, an execution adjustment module, a state feedback module, an exception handling module, a redundancy switching module and the like. A prediction control instruction is generated by combining a working condition recognition result, a fusion control quantity is formed by the prediction control instruction and temperature feedback, amplitude limiting control is conducted according to thermal power evaluation and a set threshold value, coordinated adjustment of a pump, a valve and a bypass assembly is achieved, and if recognition fails or data is abnormal, the system automatically freezes prediction control and executes closed-loop adjustment only depending on feedback. And the standby device takes over the fault after fault judgment, so that continuous operation and safety maintenance of the system are guaranteed. The system has a modular structure and complete maintenance process support.

The invention relates to the technical field of data processing, and provides a multi-mode water-cooling heat dissipation system and method.The thermal load urgency degree is generated by obtaining the temperature change rate and the thermal power density of a component in real time, the running state of the component is monitored, and a user scene identifier is output; comparing the temperature difference value of the cooling liquid at the inlet and outlet of the radiator with the cooling liquid flow to estimate the instantaneous heat dissipating capacity; predicting a temperature change track based on the thermal load urgency degree and the user scene identifier, calibrating the temperature change track in combination with the instantaneous heat dissipation amount, determining a candidate mode set and an optimization weight through the user scene identifier, and selecting a target heat dissipation mode; temperature distribution of different areas of the radiator is obtained according to the target heat dissipation mode so as to distribute the target rotating speed of the fan, respond to the local high heat load, control the multi-way valve to dynamically adjust the topological structure of the cooling liquid flowing path and distribute the cooling liquid flow, and deep cooperation of the fan and the cooling liquid is achieved.

The invention discloses a server heat dissipation control method and device, computer equipment and a storage medium, and relates to the technical field of server heat dissipation, and the method comprises the steps: predicting first load prediction information and prediction thermal power based on the working state information of a server; and determining configuration parameters of the heat dissipation assembly according to the predicted thermal power and the working state information. And the cooling medium entering the server in the heat dissipation assembly is adjusted according to the configuration parameters, so that the actual load change of the server is accurately matched, and the server is prevented from being excessively cooled or insufficiently cooled. The problem that the performance of the server is affected due to over-cooling or insufficient cooling caused by the fact that cooling regulation and control are difficult to accurately match actual load changes is solved. According to the method, the load and the thermal power of the server can be predicted, the future heat dissipation requirement of the server is determined according to the predicted thermal power and the working state information of the server, the heat dissipation assembly is adjusted in time, and the situation that the heat dissipation requirement of the server is suddenly changed, so that the server is excessively cooled or insufficiently cooled is avoided.

The invention relates to the field of power equipment intelligent control, and discloses a power equipment maintenance management system and method based on artificial intelligence, and the method comprises the steps: carrying out the multi-source data collection through a sensor, eliminating the noise of the sensor, generating a three-dimensional thermal field model, displaying the temperature gradient between power equipment, and recognizing a high-temperature aggregation region; the heat conduction coefficient and the convection heat dissipation efficiency are corrected in real time by combining environmental parameters to build a model, historical data temperature changes are analyzed, the temperature abnormal condition is analyzed through a temperature threshold value according to the average temperature change and the highest temperature in a period, and the heat dissipation power is adjusted in time; the temperature of the power equipment is predicted based on the temperature change trend of the power equipment, the future heat dissipation efficiency is adjusted, the heat dissipation efficiency is improved to the minimum, the temperature of the power equipment after the heat dissipation efficiency is adjusted is predicted, the actual temperature and the adjusted predicted temperature are analyzed, the deviation is compared, and the formula for adjusting the heat dissipation power is dynamically compensated. And ensuring that the deviation degree and the deviation proportion meet preset standards.

The embodiment of the invention provides a heat conduction oil heating temperature control system and method. The system comprises a first detection module, a temperature control module, a circulating pump, a waste heat recovery module, a plurality of segmented heat conduction oil pipelines, heating modules corresponding to the heat conduction oil pipelines and a second detection module. The first detection module sends the environment temperature to the temperature control module; the temperature control module calculates the initial heating power corresponding to each heat-conducting oil pipeline, contains the initial heating power in a heating instruction and sends the heating instruction to the corresponding heating module; the circulating pump drives the heat-conducting oil to each heat-conducting oil pipeline; the heating module heats the heat utilization equipment according to the initial heating power; the second detection module sends the heating temperature of the conduction oil pipeline corresponding to the current time period to the temperature control module; the waste heat recovery module calculates the waste heat utilization rate and sends to the temperature control module; and the temperature control module calculates to-be-adjusted heating power required by the next time period, contains the to-be-adjusted heating power in a heating instruction and sends the heating instruction to the corresponding heating module for subsequent heating temperature control, so that the heating temperature control precision of the heat-conducting oil is improved, and the energy consumption is reduced.

The invention discloses a multi-mode heat supply energy consumption evaluation method and system, and relates to the technical field of heat supply energy consumption evaluation and dynamic thermal scheduling control, and the method comprises the steps: arranging a multi-source sensor in a high-temperature flue gas path to collect thermal parameters, and building a time sequence mapping model between a unit load and flue gas thermal characteristics; and according to the thermal power data output by the time sequence mapping model and the heat exchange characteristics of all the heat supply modes, a heat energy availability map of the target time period is generated, and heat demand adaptation data is constructed. And selecting a matching path according to energy consumption and switching constraints based on the heat energy availability map and the heat demand adaptive data, and executing mode dynamic switching control. According to the method, a complete technical closed loop from data perception to state evaluation to action execution is formed. In the multi-mode heat supply system, system fusion of three-layer logic of heat load prediction, map expression and dynamic scheduling is realized, and the intelligence, self-adaption and energy efficiency optimization capabilities of the heat supply process are remarkably improved.

The invention relates to the technical field of industrial computer heat dissipation, in particular to an industrial computer memory and storage collaborative heat dissipation system which is used for solving the problems that in the prior art, temperature distribution modeling and state evaluation cannot be achieved, thermal state categories cannot be divided by integrating a temperature threshold value and an operation state, and the equipment health judgment accuracy is reduced. According to the invention, a temperature control monitoring module constructs a thermal field model by using operation state and thermal behavior data, divides hardware units, establishes a heat conduction path, realizes temperature distribution modeling and state evaluation, calculates thermal power density through standardized parameters, and solves steady-state temperature by using a numerical method in combination with boundary conditions and a cooling model. Structured temperature information is output, a temperature threshold value and an operation state are integrated to divide thermal state categories, and the equipment health judgment accuracy is improved.

The invention discloses a regulation and control system and method based on heat energy of an energy storage cabinet, and belongs to the technical field of intelligent heat management. Temperature data in the energy storage cabinet are collected, a temperature distribution matrix is constructed, and a thermal gradient vector and an overheating risk area are extracted based on a difference algorithm; further establishing a thermal power load mapping model, and dynamically generating an air circulation path optimization diagram; the opening angle of a flow deflector and the rotating speed of a fan are adjusted in combination with an optimized path, and self-adaptive regulation and control of a thermal field in the cabinet body are achieved; meanwhile, a machine learning model is trained by utilizing historical operation data, an optimal regulation and control strategy is output, and an execution layer is driven to realize collaborative response of a fan and a flow deflector; the method has the advantages of high regulation and control precision, high response speed, low energy consumption and the like, and is suitable for heat management requirements of various types of energy storage cabinets.

The invention relates to the technical field of thermal field modeling and control, and particularly provides a molecular beam epitaxy substrate temperature field control method and system based on artificial intelligence, and the method comprises the following steps: obtaining the all-region temperature data of the surface of a substrate, and the heating power and environment parameters of each region of a heating cavity; inputting the heating power and the environmental parameters into the temperature field model, and outputting a temperature distribution matrix and temperature gradient data of the surface of the substrate; predicting temperature prediction data according to the temperature distribution matrix, the heating power and the sequence data of the environmental parameters in the historical time period; and inputting a state vector formed by the temperature distribution matrix, the temperature gradient data, the heating power data and the temperature prediction data into a deep reinforcement learning model, and then outputting the heating power adjusting quantity of each area to control a temperature field. According to the invention, the problems of insufficient prediction precision and real-time performance of the substrate temperature in the prior art are solved, the influence of environmental factors and heating power on the substrate temperature is considered, and the temperature field control capability is improved.

The invention relates to the technical field of intelligent sintering, and discloses a rare earth magnet intelligent sintering production line and a control system, and the system comprises a temperature data collection module, a temperature gradient evaluation module, a temperature change rate fitting module, a heating power adjustment module, a directional heat energy compensation module and an optimized heating instruction generation module. Temperature distribution information in the sintering furnace is obtained; evaluating real-time temperature gradients of different positions in the sintering furnace, and comparing the real-time temperature gradients with a preset gradient threshold value to identify a temperature abnormal region in the sintering furnace; fitting the temperature change rate of the temperature abnormal area; the material phase change critical parameters of the rare earth magnet in the current sintering stage are combined to adjust the heating power of the temperature abnormal area; performing directional heat energy compensation on the temperature abnormal region to obtain a power compensation amount; superposing the power compensation amount and the reference power of the sintering furnace to generate an optimized heating instruction; the intelligent sintering control efficiency of the rare earth magnet can be improved.

The invention relates to the technical field of industrial production control, in particular to a polyurethane raw material preheating control method and system. The method comprises the following steps: acquiring tank body temperature, environment temperature, batch temperature rise, tank body structure and raw material liquid data, constructing a thermal resistance-thermal capacitance series-parallel model to represent system thermal inertia characteristics, then identifying an initial value drift resistance section, a main temperature rise section and a disturbance absorption section in a segmented manner, and implementing power back-stepping based on segmented data, so as to obtain the thermal inertia characteristic of the system. Dynamically generating a heating power track; and a heating track is replanned in combination with real-time change data, so that precise modeling and self-adaptive control of a temperature rise process are realized, and the temperature control precision and energy efficiency response capability of the preheating system under different raw material batches and different working conditions are effectively improved.

The invention discloses a lithium battery thermal parameter online monitoring method and equipment. According to the method, a one-dimensional heat transfer model of the battery is established, and a finite element model is solved by inversion of battery surface temperature change actually measured in operation, so that combined monitoring of the heat conductivity coefficient, the convective heat transfer coefficient, the average temperature and the heat production power P of the lithium battery is realized. Meanwhile, only the temperature sensor needs to be arranged on the surface of the battery, the battery does not need to be disassembled or an internal sensor does not need to be implanted, the battery integrity is kept, and the method is suitable for battery full-life-cycle monitoring. According to the method, the key thermal parameters of the lithium battery can be identified online in a non-intrusive, low-cost and high-reliability manner, support is provided for thermal management, health assessment and thermal safety early warning of the battery, and the method is suitable for various battery configurations and thermal management systems.

The invention discloses an efficient anti-freezing and anti-blocking integrated induction heating system and method for an oil and gas pipeline, belongs to the technical field of anti-freezing and anti-blocking of oil and gas pipelines, and aims at solving the problems that in the prior art, heating efficiency is low, energy consumption is huge, heating uniformity and adaptability are poor, the system integration degree is low, and the intelligent degree is insufficient. Comprising the steps of S1, induction heating unit arrangement and power management; s2, real-time temperature monitoring and data acquisition; s3, intelligent data analysis and precise heat management; the electromagnetic induction heating principle is adopted, the induction coil directly heats the pipeline and the internal medium, heat conduction loss and heat energy radiation loss of heating modes such as traditional resistance wires and heat tracing bands are reduced, the intelligent power management module can optimize power supply and power adjustment, and the self-adaptive environment and load adjustment strategy is combined, so that the self-adaptive load adjustment is achieved. The heating power can be automatically adjusted according to the environment temperature and the pipeline load, the anti-freezing and anti-blocking effect is guaranteed, meanwhile, energy consumption is remarkably reduced, and the burden of an electric power supply system is relieved.

The invention discloses a magnetic suspension motor high-voltage working condition self-adaptive thermal management system and method, and belongs to the field of magnetic suspension motors, and the management method comprises the steps: obtaining input voltage information and first rotating speed information, determining second rotating speed information according to the voltage information, and obtaining a high-voltage working condition self-adaptive thermal management result according to the fluctuation deviation of the first rotating speed information and the second rotating speed information; and determining target rotating speed information and controlling the operation of the magnetic suspension bearing according to the target rotating speed information to improve the stability. The motor further comprises a self-adaptive heat management module which is connected with the temperature sensor and used for collecting temperature data in real time and dynamically adjusting the heat dissipation intensity and mode. The module predicts the temperature change trend according to the thermal power and the temperature-heat dissipation correlation model, and starts or adjusts heat dissipation measures in advance, so that the temperature is maintained in a safe range. The operation stability of the magnetic suspension bearing is improved, real-time monitoring and dynamic management of the temperature of the motor are achieved, temperature rise is effectively controlled, safety and reliability are enhanced, downtime is shortened, the service life is prolonged, and energy efficiency is improved.

The invention discloses a fused salt heat storage and Carnot cell combined coal-fired unit peak-load regulation operation method, device and equipment, a medium and a product, and relates to the field of unit peak-load regulation operation. Acquiring information data; based on a power regulation demand prediction model, performing peak regulation demand prediction according to the information data to obtain a prediction result; the power regulation demand prediction model is obtained by adopting a multi-objective optimization model and performing time sequence analysis on a long-short-term memory network model; determining an energy scheduling strategy based on the prediction result; the energy scheduling strategy comprises a heat storage power coordination instruction and a heat release power coordination instruction; and according to the energy scheduling strategy, operation adjustment is conducted on the coal-fired unit, the fused salt heat storage subsystem and the Carnot battery subsystem based on the control system. The invention aims to improve the peak regulation performance of the coal-fired unit.

The invention relates to the technical field of metal material heat treatment, in particular to a gradient temperature control method for a stainless steel cold rolling annealing process. Comprising the steps that an annealing furnace is divided into independent temperature control sections in the strip steel conveying direction, each temperature section is provided with an electric heating wire set, a forced convection cooling air duct and a high-precision infrared temperature measurement array, temperature data are collected in real time, and a target gradient temperature curve is generated; constructing a phase change power-temperature correlation model, and outputting a theoretical gradient temperature curve; a three-stage MPC is adopted to cooperatively control and output a control signal; and the heating power and the cooling strength are adjusted in real time according to the control signal, if the temperature fluctuation exceeds the limit, the power is compensated through a PID algorithm, the strip steel speed is adjusted, and closed-loop feedback is formed. Through multi-section independent temperature control, thickness-temperature dynamic modeling and a three-level cooperative control framework, accurate tracking of a gradient temperature curve is achieved, and the quality and efficiency of the annealing process are improved.

The invention discloses a measurement and control system of gas heating equipment, which relates to the technical field of equipment measurement and control, and is characterized in that a flow feed-forward control module is used for determining a target mass flow value through a feed-forward compensation processing mechanism according to at least one parameter measured by a sensor measurement module; the temperature control module is used for determining PID control parameters of a cascade PID control structure comprising a main loop and an auxiliary loop according to the temperature parameters measured by the sensor measurement module and a preset temperature difference grading fuzzy PID control rule; and the power control module is used for determining the target heating power according to the target heating rate and the characteristic parameters of the rear-end purging object, and adjusting the heating power of the heater in combination with an anti-integral saturation mechanism configured by the temperature control module and the power control module. By adopting the system, the heating process can be accurately adjusted and quickly responded, and the temperature control stability and the equipment operation efficiency are improved.

The invention provides a cooperative distribution method, system and device for vehicle-mounted double-loop liquid cooling refrigerating capacity and a medium, and relates to the technical field of electric vehicle liquid cooling. Determining the confidence value of the refrigerating capacity in the battery cell cooling loop according to the thermal power net increment in the electric vehicle and the temperature distribution gradient in the battery cell; when the temperature of the power device in the power conversion module is larger than a preset safety threshold value, balance adjustment is conducted on the real-time refrigerating capacity of the power conversion module, and the balance characteristic of the refrigerating capacity in a cooling loop of the power conversion module is obtained; and the liquid cooling refrigerating capacity in the double cooling loops is cooperatively redistributed according to the balance characteristic of the refrigerating capacity in the cooling loops of the power conversion module and the confidence value of the refrigerating capacity in the battery cell cooling loops. Based on the scheme, balanced distribution of the refrigerating capacity between the battery cell cooling loop and the power conversion module cooling loop in the electric automobile can be achieved.

The invention relates to the technical field of process control, in particular to a polyphenylene sulfide polymerizer temperature self-adaptive control method, which comprises the following steps: acquiring melt viscosity, heat release power and residence time deviation of a polymerizer in real time, and constructing a normalized multi-dimensional time sequence input vector by using a sliding window technology; and then, through fusing a weight control model of a long short-term memory network and an attention mechanism, combining static working condition characteristics, and analyzing and outputting adaptive weight coefficients for different deviation dimensions in real time. Meanwhile, based on the shear heat effect and the reaction accumulation effect, specific temperature compensation components for the inlet of the heating medium jacket are calculated, and independent amplitude limiting processing is carried out on all the components. And finally, a target set temperature is synthesized through weighting, and an execution mechanism is driven to act accurately by utilizing cascade PID control and a valve flow characteristic inverse mapping model. According to the invention, through deep fusion and mechanism compensation, accurate steady-state control of the polymerization reaction is realized.