403 results about "Thermal balance" patented technology

The invention discloses a universal laser path optimization method and module for metal 3D printing, and the method comprises the following steps: S1, carrying out the slicing and initial path planning of a three-dimensional model, and generating printing data containing vector coordinates, a scanning time sequence, laser power and a scanning speed; s2, the printing data and the equipment parameters are imported into a path heat balance optimization module, and a high forming risk area is evaluated based on a temperature field distribution model; s3, laser path secondary optimization is conducted on the high forming risk area through a preset optimization function, and a new laser scanning path vector data set is generated; s4, importing the optimized path vector data set into printer control software for processing; the laser parameters and the scanning path are dynamically adjusted, so that the local temperature gradient is reduced, the thermal stress concentration is reduced, and the defects of warping, collapse and the like are overcome; the optimization function based on the mathematical model can adapt to various complex structures and is suitable for efficient printing of macroscopic-mesoscopic integrated parts, and the production efficiency is improved.

The invention discloses a temperature compensation method and system, and the method comprises the steps: receiving a valve block temperature signal collected by a temperature sensor integrated with a pressure sensor in a closed gas supply unit, and an electronic element temperature and environment temperature signal collected by a temperature sensor on a control unit PCB, generating an initial temperature-working condition data set by combining the power of the air pump and the working duration of the electromagnetic valve; performing thermal resistance network modeling on the initial temperature-working condition data set, constructing a multi-node thermal characteristic matrix, and decomposing the matrix into a plurality of sub-matrixes; performing real-time operation on the sub-matrix by using a dynamic heat balance algorithm to generate a temperature estimation result of the key component; and generating a temperature compensation control instruction according to the temperature estimation result of the key component. According to the embodiment of the invention, the temperature of the key component can be accurately estimated, dynamic compensation is realized, and the control precision and stability of the closed gas supply unit are improved.

The invention provides a big data information processing method and system based on deep learning. According to the method, an energy distribution model is generated by combining a building information model with infrared thermal imaging data, and a dynamic thermal balance equation set is constructed according to the model so as to generate three-dimensional temperature field reconstruction data. Then, thermal resistance parameters in the energy distribution model, heat flow abnormal area coordinates in the three-dimensional temperature field reconstruction data and air conditioning unit current data are analyzed through a deep learning algorithm, and space-time coupling characteristics of equipment power consumption and thermal environment parameters are extracted; then, a priority regulation and control chain of the temperature control equipment is formulated, and multi-stage linkage rules of the fresh air exchange rate, illumination dimming and cold release of the cold storage tank are covered; finally, the chilled water pump phase difference, the air conditioner group operation mode and the emergency lighting power limiting value are dynamically adjusted, and power load stabilization is achieved. According to the technical scheme provided by the invention, the data information processing efficiency and stability of the large building can be improved.

The invention relates to the field of chemical engineering and steel smelting, and discloses a method for extracting vanadium by top-blowing nitrogen-oxygen mixed gas, which comprises the following steps: S1, measuring the temperature of overline-crossing molten iron, sampling, and testing and analyzing the components of the molten iron; s2, measuring the temperature of the molten iron mixed into the converter; s3, according to the temperature measurement result in the S1 and the temperature measurement result in the S2, the charging temperature is corrected; s4, according to the corrected charging temperature, the proportion of the mixed gas is adjusted in a staged mode for blowing; s5, adding a coolant and pig iron into the furnace according to an analysis result in S1; and S6, after blowing is completed, slag and steel are separated, and vanadium slag and low-residue vanadium semisteel are obtained. According to the scheme, in order to solve the problems that in an existing vanadium extraction process, the temperature of a molten pool rises too fast, the stirring effect is insufficient, and the vanadium oxidation rate is limited, the recovery rate of vanadium is increased and the content of residual vanadium in semi-steel is reduced by accurately controlling the nitrogen-oxygen mixed blowing proportion, reasonably distributing the blowing time and combining heat balance calculation and end point control; and meanwhile, molten steel quality and subsequent steelmaking process requirements are guaranteed.

The invention discloses a steam generator water level control method, system and device based on digital twinning, and the method comprises the steps: obtaining the detection information obtained through the detection of a sensor in real time, and outputting the actual measurement water level to a water level regulator, so as to obtain the feed water flow regulation amount; the detection information is analyzed according to the real-time online heat balance model to obtain an analysis result, the analysis result and the feed water flow adjusting amount are output to a first flow regulator, and the first flow regulator correspondingly outputs a control instruction to a feed water adjusting valve for feed water flow adjustment. According to the control method, by means of the digital twinning technology and the numerical simulation technology, the water level control process is improved to achieve accurate adjustment, and the operation reliability, the equipment safety, the operation convenience and the operation efficiency of the nuclear power station steam generator are improved.

The invention provides a rotary table bearing-torque motor thermal vibration coupling modeling method, and relates to the technical field of machine tool reliability analysis. Comprising the steps of calculating bearing restoring force, torque and elastic rigidity; giving a dynamic balance equation of the main shaft system; unbalanced magnetic pulling force and unbalanced mass excitation are calculated; a displacement field is solved, and load changes caused by the displacement field are transmitted to the thermal model; the contact force borne by the bearing is updated by considering the load effect related to displacement, and the friction heat generation of the bearing and the heat generation of each part of the motor are calculated; calculating thermal deformation and thermal displacement of the bearing; thermal resistance among nodes is calculated, and a temperature field equilibrium equation is given through a thermal resistance network to achieve rapid thermal-mechanical coupling analysis; the thermal equilibrium equation is solved to calculate temperature response; importing the latest temperature into the kinetic model; lubricating grease viscosity and bearing thermal deformation are updated; and repeating the steps to finally obtain the main shaft displacement field and temperature field response. The method is high in accuracy, high in universality, low in test cost and high in test efficiency.

The invention belongs to the technical field of aviation electric propulsion, and relates to a hydrogen fuel cell superconducting hybrid electric propulsion system based on hydrogen and helium heat exchange cooling, which is suitable for megawatt level branch aircrafts and comprises a liquid hydrogen storage tank, a hydrogen and helium heat exchanger, a hydrogen fuel cell, a lithium battery, an inverter, a superconducting motor, a propeller and other core components. The liquid hydrogen storage tank vaporizes liquid hydrogen through the micro-channel plate type hydrogen-helium heat exchanger and stably supplies the vaporized liquid hydrogen to the hydrogen fuel cell to generate electric energy; helium is used for a low-temperature cooling loop and cooling key assemblies such as a superconducting motor, a low-temperature inverter, a superconducting cable and a hydrogen fuel cell, and it is ensured that the key assemblies stably operate at the optimal working temperature. The hydrogen fuel cell and the lithium battery cooperatively provide electric energy for the superconducting electric propulsion system, the integrated energy management controller dynamically adjusts the output power of the fuel cell and the lithium battery by adopting a state machine strategy, and accurate monitoring and optimal distribution of working parameters of all components are achieved. The optimal heat balance and power output are ensured to be realized in different flight stages such as takeoff, cruise and landing; according to the hydrogen fuel cell hybrid electric propulsion system based on hydrogen and helium heat exchange cooling, the power generation efficiency and the operation stability of the hydrogen fuel cell are remarkably improved, the overall energy conversion efficiency is improved, and the high-power and high-efficiency power extraction requirements of megawatt aircrafts are fully met.

The invention relates to the technical field of intelligent control of chemical reactors, and discloses an intelligent temperature control system for a step-by-step catalytic cracking reactor, which comprises a temperature field modeling module, a sensor configuration module, an index definition module, a control execution module, an analysis and diagnosis module and the like. The temperature field modeling module constructs a standard temperature field distribution model through infrared thermal imaging and generates virtual temperature points; the sensor configuration module is used for arranging a real temperature point and acquiring a temperature gradient and a temperature point missing rate; the index definition module sets a preset temperature index based on the thermodynamic parameters; the control execution module realizes steady state, dynamic response, heat balance and composite regulation and control; and the analysis and diagnosis module carries out fault tracing on the target which does not pass regulation and control and adjusts a strategy. The system further comprises a data acquisition module and a communication interface module, so that data storage and external communication are realized. The method improves the temperature control precision and the system self-adaption capability, and is suitable for the complex temperature control scene of the catalytic cracking reaction.

The invention relates to the field of semiconductor device testing, and discloses a power device thermal resistance testing method and power device thermal resistance testing equipment, and the method comprises the following steps: controlling an environment to rise to a first preset temperature in a temperature gradient manner, and sequentially applying a calibration current to a power device at each temperature gradient to test a first forward voltage drop of the power device; calibrating the power device according to the temperature value of each temperature gradient and the first forward voltage drop value corresponding to each temperature gradient to obtain a temperature-voltage drop curve; controlling the environment temperature to be a second preset temperature, applying a first rated power to control the power device to reach a heat balance state, applying a calibration current to the power device to test a second forward voltage drop of the power device, and measuring the shell temperature of the power device; and obtaining the thermal resistance of the power device according to the temperature-voltage drop curve, the second preset temperature, the second forward voltage drop, the first rated power and the shell temperature of the power device. According to the invention, the problem of inaccurate thermal resistance test of the power device is solved.

The invention belongs to the technical field of marine turbochargers, and discloses a marine turbocharger floating ring bearing rotor system lubrication model construction method, which comprises the following steps: S1, respectively carrying out physical modeling and mathematical modeling according to a real object of a three-blade and half-floating ring bearing of a marine turbocharger, and solving; s2, according to the oil film temperature-viscosity effect, the steady-state heat balance, the power consumption and the flow, a steady-state thermal fluid dynamic lubrication analysis model of the three-blade and semi-floating-ring bearing is constructed, and the static characteristics of the three-blade and semi-floating-ring bearing are obtained; s3, establishing a lubricating and wear characteristic theoretical calculation model in the starting process and the transient variable working condition process after starting, and obtaining the transient film thickness, the transient oil film force and the transient rough bearing force in the starting process; and the transient film thickness and the transient oil film bearing capacity after work starting are obtained. According to the method, a floating ring bearing rotor system lubrication model is constructed, the operation performance and safety of the marine turbocharger are improved, and the service life of the marine turbocharger is prolonged.

The invention discloses a furnace flue gas waste heat graded cycle power generation method and system, which combines multi-stage purification and temperature division utilization, and comprises the following steps: firstly, carrying out component analysis and desulfurization purification treatment on furnace flue gas, establishing a layered purification chain, and identifying an acid dew point area; a safe flue gas purification area is formed through material adaptability evaluation and corrosion control measures; then carrying out temperature gradient analysis and temperature field reconstruction on the purified flue gas, establishing a heat grade distribution mechanism and forming a gradient heat energy flow to realize complementary utilization of heat sources at different temperature sections; a water vapor main cycle and organic working medium auxiliary cycle cascade power generation system is constructed, and the magnetic suspension bearing technology is integrated to improve the auxiliary cycle power generation efficiency; establishing a heat balance parameter and optimizing a circulation network through heat matching degree monitoring and mismatch detection; and finally, an energy transfer matrix is constructed, distributed power generation configuration is formed through generator coupling analysis and rotating speed coordination control, stable electric energy output is completed, and efficient utilization of waste heat is achieved.

The invention discloses a heat dissipation control method and device of a liquid cooling charging pile and a medium, is applied to a liquid cooling control panel, and relates to the technical field of electric vehicle charging, and the method comprises the steps: collecting the original temperature data of a plurality of key nodes in a charging pile liquid cooling system in real time; the key node at least comprises a charging gun head and a cooling liquid inlet / outlet; comparing the original temperature data with a preset multi-stage temperature threshold value, and determining a current thermal state of the charging pile liquid cooling system according to a comparison result; according to the current thermal state, control parameters of a heat dissipation actuator in the charging pile liquid cooling system are generated through a pre-constructed temperature control engine; and generating a heat dissipation driving signal based on the control parameter, and sending the heat dissipation driving signal to a heat dissipation actuator so as to adjust the operation state of the heat dissipation actuator, so that the temperature of the charging pile liquid cooling system is maintained within the target temperature range. And according to different thermal state intelligent switching control strategies, it is ensured that the liquid cooling system can quickly respond and maintain the optimal thermal balance under any working condition.

The multi-energy coupling heating system comprises a geothermal energy utilization module, an air energy utilization module, a solar energy utilization module, an energy storage tank, a control module and the like, and multi-loop cooperation is formed through a pipeline and a circulating pump. The method comprises a winter heating mode and a summer heat storage mode, wherein geothermal energy is used as a basis in winter, solar energy is used for auxiliary heating, and air energy is used for supplementary heating; solar energy is utilized to store heat underground in summer to maintain soil heat balance. And the solar PV / T assembly generates power to be used by system equipment and stores the power. Multi-energy complementation is achieved, the energy self-sufficiency rate is increased, cost is reduced, carbon emission is reduced, stable operation under extreme working conditions is guaranteed, and the system is suitable for rural heating in the northwest region.

The invention discloses a thermodynamic system parameter distribution method and device, and the method comprises the steps: S1, analyzing a block definition diagram and an internal block diagram from a SysML model to obtain a module structure description, a module value attribute, an interface specification of an equipment unit and a thermodynamic parameter description, and generating an analysis result, the analysis result comprises equipment unit port and connector information. And S2, based on the analysis result, mapping the equipment module to a simulation software element through name matching, and generating a steady-state thermal simulation model. And S3, associating the module value attributes with element attributes of the steady-state thermal simulation model through a parameter mapping mechanism, and generating attribute mapping data. And S4, generating a complementation parameter list according to the external design value and the heat balance demand. Therefore, the efficiency and accuracy of parameter allocation are improved, manual intervention is reduced, and it is ensured that the allocation result meets the requirements of system performance.

The invention belongs to the technical field of flight simulation training equipment, particularly relates to an intelligent temperature control system for a flight simulator cabin, and solves the problem that the requirements of flight simulator temperature control on multi-dimensional physiological perception fusion, multi-target collaborative optimization and rapid personalized adaptation and active safety protection of new pilots cannot be met in the prior art. According to the method, a multi-modal sensing layer processes multi-channel skin physiological data, physical environment data and pilot electrocardiosignals, a human body heat balance equation for blood flow correction is constructed, and physiological feature vectors including predicted core body temperature, predicted average votes and predicted dissatisfaction percentage are generated; the decision-making layer generates a temperature control instruction and a confidence evaluation value through a meta-learning model, a reward function is in a four-dimensional dynamic weighting form, and the weight is adjusted through an IF-THEN rule according to the state; and the dynamic execution layer adopts a PID closed loop to adjust the partition temperature and triggers response in a grading manner. Accurate and personalized temperature control is achieved, and the training quality and safety are guaranteed.

The invention relates to the field of superconducting Tokamak devices, and discloses a support structure of a correction field superconducting coil and a superconducting Tokamak device with the same, the support structure comprises a first support assembly, the first support assembly is arranged on a longitudinal field coil and is used for supporting an upper arc section of the correction field superconducting coil; the second supporting assembly is fixed to the ground supporting structure of the longitudinal field coil and used for supporting the lower arc-shaped section of the correction field superconducting coil; the vertical supporting assembly is located between the first supporting assembly and the second supporting assembly in the vertical direction and used for fixing the two vertical extending sections in the two sets of adjacent correction field superconducting coils; the cooling assembly comprises a first cooling part used for exchanging heat with the first supporting assembly and a second cooling part used for exchanging heat with the second supporting assembly. Therefore, the overall heat balance of the superconducting Tokamak device can be realized, and the position precision and the working efficiency of the superconducting coil in the correction field can be effectively improved.

The invention discloses an aerospace vehicle rapid response function composite casting mold forming method and device, and belongs to the crossing field of a sand mold 3D printing technology and an integrated die casting technology. According to the method, firstly, a numerical control machining center or sand mold 3D printing equipment is adopted for manufacturing a multi-material composite core mold, then a cut or printed sand mold / core is assembled on a core mold base in a ridge-closing mode, a servo cabin metal mold is driven to be matched with the sand mold core mold through a mold closing locking mechanism, and the whole set of die-casting mold is formed. Secondly, light alloy (magnesium, aluminum, titanium and the like) is smelted at a high temperature, the speed field and the pressure field of high-temperature molten metal mold filling are indirectly controlled by controlling the movement speed of a piston rod, and high-quality castings are obtained through crystallization and solidification under the pressure. The innovatively proposed'metal mold and sand mold 'combined die-casting die can quickly realize the dynamic heat balance of the temperature of the die. According to the aerospace vehicle rapid response function composite casting mold forming method and device, innovative and green development of a light high-strength alloy casting process is promoted.

The invention relates to the technical field of polycrystalline silicon preparation, and discloses a polycrystalline silicon reduction furnace intelligent regulation and control system based on multi-parameter prediction, which is based on full-dimensional data such as current, raw material purity, silicon rod temperature and the like acquired by a multi-parameter sensing module, and realizes the intelligent regulation and control of a polycrystalline silicon reduction furnace through a burst interference quantification sub-module in a bidirectional linkage fusion prediction module. The deviation entropy quantification interference intensity of the multi-parameter change rate is calculated, migration learning emergency correction terms are synchronously called to dynamically compensate prediction errors, meanwhile, the one-way dependence defect is broken through, and a dynamic physical boundary is provided for a data driving prediction constraint module through physics, electrode contact resistance and in-furnace heat balance parameters; the NMPC module takes a bidirectional fusion high-precision predicted value as a target, solves a multi-target optimization control sequence and issues and executes the multi-target optimization control sequence, and the closed-loop iterative optimization module synchronously updates physical and data model parameters through incremental learning on the basis of an actual regulation and control effect, so that the problems of current regulation lag and formula parameter stiffness are solved, and long-term stable operation of the reduction furnace is supported.

The invention discloses an air conditioner energy-saving optimization method and system based on intelligent control, and the method comprises the following steps: 1, collecting temperature and humidity data and air conditioner setting parameters, carrying out the training through a residual error connection attention recurrent neural network model, and outputting a thermal inertia prediction value; 2, constructing a thermal behavior joint feature vector; 3, performing clustering operation by adopting a Dirichlet process mean value clustering algorithm, and generating a space-time microcell by setting a clustering penalty threshold value; 4, constructing a thermal comfort model by adopting an improved PMV model based on a Fanger heat balance theory, and obtaining a disturbance index value of each space-time microcell; 5, constructing a joint optimization objective function, and generating optimal control action parameters of each space-time microcell; and step 6, carrying out fusion calculation on the optimal control action parameters of all the space-time microcells to generate an overall control instruction. According to the method, thermal inertia prediction and dynamic clustering optimization methods are fused, and intelligent energy-saving control over the air conditioner is achieved.

The invention relates to the technical field of power equipment monitoring and fault diagnosis, and discloses a power transformer fault early warning method and system. The method comprises the following steps: acquiring a load current sequence, an environment temperature sequence and a top oil temperature sequence of a transformer; calculating an initial actually measured temperature rise based on the top oil temperature and the environment temperature, and determining thermal response lag time through cross-correlation analysis; carrying out translation correction on the load current according to the lag time, and constructing a time-aligned excitation input set and an actually measured temperature rise sequence based on a common effective time window; substituting the excitation input set into a thermal circuit model based on a thermal balance differential equation to calculate a theoretical reference temperature rise, calculating a residual error in combination with an actually measured temperature rise sequence, performing moving average filtering, and constructing a fault feature vector; and inputting the fault feature vector into a fault diagnosis classification model to determine a fault type and severity, and generating a grading early warning instruction according to the fault type and severity. According to the method, thermal hysteresis interference can be eliminated, and accurate quantitative early warning of the latent thermal fault of the transformer under the dynamic working condition is realized.

The invention relates to the field of polyimide films, and discloses a catalytic polyimide film with a low thermal expansion coefficient and a preparation method thereof, the catalytic polyimide film comprises 43-47% of a rigid polyimide material, 28-32% of a flexible polyimide material, 4-6% of a dynamic cross-linking agent, 7-9% of a component agent, and the balance of a solvent; the dynamic cross-linking agent comprises maleimide terminated polyamide and a difuran compound, and the ratio of the maleimide terminated polyamide to the difuran compound is 3: 2. Through the synergistic effect of constructing a stable framework by a rigid polyimide material, buffering stress by a flexible polyimide material and uniformly dissipating heat by flaky boron nitride, a chemical regulation and control system of'rigid constraint-flexible buffering-heat conduction balance 'is formed, thermal expansion is inhibited from the molecular level, and compared with a traditional physical method which purely depends on external force or a single component, the thermal expansion coefficient is greatly improved. According to the system, through complementation of chemical mechanisms of all components, the dimensional stability under temperature fluctuation is improved to a new height, and the problem that the thermal expansion coefficient in a wide temperature range is difficult to control is solved.

The invention discloses a method for prolonging the service life of an electrolytic cell based on a composite material. According to the invention, through the composite structure design of the gradient graphitization cathode and the silicon carbide reinforced phase, sodium permeation and thermal stress damage are effectively inhibited, the corrosion resistance of the cathode is improved by about 40%, and unplanned cell shutdown maintenance caused by lining damage is greatly reduced. The intelligent roasting starting technology is matched with the dynamic heat balance regulation and control system, the operation stability of the electrolytic cell is improved by 25% or above, the current efficiency is improved to 94.5%, the direct current consumption per ton of aluminum is directly reduced by about 120 kilowatt-hours, and the high energy consumption pain point of the electrolytic aluminum industry is remarkably relieved. The full-cycle material regeneration technology realizes that the resource utilization rate of the waste lining exceeds 85%, the annual operation and maintenance cost of a single tank is saved by nearly 20%, and an economic closed loop of the full life cycle of equipment is formed. Multi-physics field optimization and digital twinning technologies are fused, a technical standard system covering design, manufacturing and operation and maintenance is constructed, and electrolytic cell equipment is promoted to be iteratively upgraded towards the intelligent direction.

The invention provides a green hydrogen comprehensive energy park cooperative scheduling method considering electrolytic bath thermal inertia. The method comprises the steps of 1, obtaining operation parameters of a green hydrogen comprehensive energy park; 2, according to the operation parameters of the green hydrogen comprehensive energy park established in the step 1, considering the delay response of heat transfer, and establishing a thermal inertia model of heat production, natural heat dissipation and cooling response of an electrolytic bath; step 3, establishing power balance constraint, heat balance constraint and equipment operation constraint according to the operation parameters of the green hydrogen comprehensive energy park in the step 1 and the thermal inertia model of heat production, natural heat dissipation and cooling response of the electrolytic bath in the step 2; and 4, according to the power balance constraint, the heat balance constraint and the equipment operation constraint established in the step 3, determining the minimum operation cost of the system as an objective function, and solving the objective function to obtain an optimal scheduling strategy of each module of the green hydrogen comprehensive energy park.

The invention provides a power supply coal consumption detection method and device for a coal-fired unit with a hot primary air heater. The method comprises the following steps: dividing a boundary for a heat balance system of the coal-fired unit with the hot primary air heater based on a preset rule; based on the heat balance system of the coal-fired unit after boundary division, the boiler fuel efficiency after air inlet temperature correction is determined; based on the steam turbine heat rate and the correction coefficient, the steam turbine heat rate after parameter correction is obtained; and determining the power supply coal consumption of the coal-fired unit based on the boiler fuel efficiency after the air inlet temperature correction, the steam turbine heat consumption rate after the parameter correction and the station service power consumption rate. The method can guide the detection and calculation of the power supply coal consumption of the coal-fired unit with the hot primary air heater, and provides technical reference for power plant personnel to carry out proper operation adjustment according to the data. And meanwhile, the economical efficiency of transformation of the hot primary air heater of the power plant can be evaluated, and the power plant is guided to carry out reasonable transformation evaluation and carry out reasonable parameter adjustment on the hot primary air heater.

The invention discloses a control method, and particularly relates to an energy storage power converter self-adaptive control method based on digital twinning, which comprises the following steps: step 1, digital twinning model synchronization and state sensing; step 2, multi-target collaborative optimization based on prediction; and step 3, optimizing instruction issuing and physical system execution. Through real-time prediction and optimization of the digital twinborn model, it is ensured that the power switch tube always works in a zero-voltage switching state, switching loss is effectively reduced, and overall efficiency is improved. Dynamic thermal balance management is realized by combining thermal model prediction, local overheating is avoided, the service life of devices is prolonged, and the reliability of long-term operation of the system is enhanced.

The present invention proposes an automatic controller and energy analysis method for an intelligent heat pump curing room, comprising the following steps: controlling the heating, heat preservation and ventilation of the curing room by an automatic controller; inspecting the quality of tobacco leaves obtained after curing; uploading parameter data of the heating, heat preservation and ventilation of the curing room by the automatic controller to a cloud server by using a remote monitoring system; acquiring the parameter data in the cloud server, and formulating parameters that can achieve the maximum time-power thermal engineering and the most effective thermal engineering balance in combination with the quality of the tobacco leaves after curing; and feeding back the optimized parameters to the automatic controller, so that the heating, heat preservation and ventilation provided by the automatic controller to the curing room can achieve efficient energy utilization, reduce costs, reduce pollution, ensure the quality of tobacco leaf curing, and increase the economic benefits of tobacco farmers.

The invention discloses a magnetic suspension bearing temperature rise rapid prediction method based on an equivalent thermal network, and relates to the technical field of prediction, and the method comprises the steps: dispersing a thermal network into typical thermal network units through geometric features and a heat flow direction, dividing different thermal nodes, and connecting the thermal network units with adjacent solid thermal nodes through equivalent convective thermal resistance. The method has the advantages that the rapid analysis of the temperature rise is realized, the calculation complexity of modeling and solving is reduced through a nodal thermal network structure, the time consumed by iterative solving is shortened to the second level, the efficiency is improved by more than thousand times, and the method is suitable for large-scale popularization and application. The real-time accurate prediction requirement in engineering is met, anisotropic thermal conductance modeling is carried out, and thermal gradient distortion caused by dimension reduction of a traditional one-dimensional / two-dimensional model is avoided through independent assignment of axial, radial and circumferential thermal conductance parameters and accurate characterization of heat conduction direction anisotropy and multidirectional heat flow coupling of laminated materials such as silicon steel sheets.

The invention discloses an infiltration type energy storage spraying temperature control integrated system based on intelligent adjustment, and belongs to the technical field of heat management of energy storage batteries. The system intelligently analyzes battery temperature data through the main control module, and dynamically adjusts the working mode (heating or heat dissipation) of the temperature control device and a heat-conducting medium conveying path (passing through the battery monitoring unit and then the battery pack, or passing through the battery pack and then the battery monitoring unit), thereby realizing bidirectional heat path control. The core of the system lies in software innovation such as a multi-mode adjustment algorithm, a thermal runaway prediction model and a self-adaptive spraying strategy, thermal management efficiency can be optimized according to the real-time state of the battery, energy consumption is reduced, and thermal balance is improved. Compared with the prior art, the system reduces the dependence on a complex mechanical structure through modularized intelligent control, and remarkably improves the safety and energy efficiency ratio of the energy storage system. Further, a digital twinborn simulation module is introduced into the system, control parameters are optimized in real time through virtual mapping, and graded response of thermal runaway is achieved in combination with a gradient spraying strategy.

The invention relates to the technical field of cable production and manufacturing and automation control, in particular to an energy-saving cable extrusion production process control system, which comprises a data acquisition module for acquiring real-time working condition parameters of an extrusion production line; the rheological thermal coupling analysis module is used for resolving the shear heat contribution rate under the current working condition; the heat engine response decoupling module is used for determining a heat engine response lag time difference between mechanical shear heat and machine barrel heat conduction; the energy efficiency optimization calculation module is configured to generate a dynamic heat balance control strategy aiming at an unsteady state working condition according to the heat engine response lag time difference and a preset unit output ratio energy consumption target; the self-adaptive execution module is configured to output a cooperative control instruction for a heating and cooling system and a screw driving system based on the dynamic heat balance control strategy so as to realize minimization of system energy consumption; according to the method, the common energy confrontation phenomenon of alternate operation of heating and cooling in traditional control is solved, and the energy consumption in the transition process is greatly reduced.

The invention discloses an electric-thermal integrated energy system scheduling method and device based on thermal inertia and a medium. The method comprises the following steps: determining a target scheduling model of the electric-thermal integrated energy system; establishing a target function, a power supply balance constraint, a preset unit output constraint, a preset unit climbing constraint, an electric heat storage boiler output constraint, a heat supply network node flow constraint and a heat supply network temperature constraint of the target scheduling model; solving the target scheduling model based on the wind power data under the reference heat balance time scale to obtain a reference analysis result; and if the reference analysis result meets a preset constraint condition, taking a reference heat balance time scale corresponding to the reference analysis result as a target heat balance time scale, and outputting an output plan of the electric-heat integrated energy system within a first preset time period after the current moment based on the reference analysis result. According to the method, an electric heating coordinated optimization operation strategy for comprehensively exploring the flexibility of a heat source, a heat load, a heat supply network and a heat storage side is realized, and more grid-connected space is provided for wind power.