3043 results about "Heat losses" patented technology

The invention relates to the technical field of control, and particularly discloses a multivariable energy efficiency optimization control system for a heating furnace, which is used for solving the problems of local overheating, non-uniform temperature and difficulty in accurate positioning and compensation of heat loss in the operation of the existing cracking heating furnace. Comprising a parameter detection module, a multivariable coupling modeling and simulation module, an optimization control module and an execution and feedback module. According to the method, dynamic digital twinning is constructed through multi-modal online sensing and data assimilation, a Pareto frontier solution is generated based on model prediction control and improved NSGA-II parallel optimization, and the weight is adaptively adjusted; and when the hot spot / cold spot is triggered, a quadric surface fitting compensation strategy is implemented and issued for execution, so that high-precision simulation prediction, precise closed-loop control and real-time online energy efficiency optimization are realized.

The invention discloses a molten salt heat storage and heat exchange efficiency optimization system and method in a whole-plant technological process. The system comprises a high-temperature molten salt storage tank, a low-temperature molten salt storage tank, a temperature sensor group, a variable-frequency pump group, a multi-stage heat exchanger, an intelligent control unit, a heat buffer module and the like, and the high-temperature molten salt storage tank and the low-temperature molten salt storage tank are connected through a conveying pipeline to form a circulation loop. The intelligent control unit regulates and controls the rotating speed of the pump set and the valve opening degree based on a fuzzy PID algorithm, the heat buffering module reduces heat loss, and the multi-stage heat exchanger enhances heat exchange. The method comprises the steps of temperature and flow data collection, efficiency deviation value calculation, fuzzy PID control, thermal buffer optimization, waste heat feedback and the like. Besides, the system also has the functions of digital twinborn prediction, multi-objective optimization, abnormal working condition self-healing and the like, can be connected with a DCS (Distributed Control System) to obtain energy consumption data and dispatch stored energy, and also can predict equipment faults. The fused salt heat energy storage and heat exchange efficiency is effectively improved, reasonable energy allocation and cost control are achieved, and the reliability and stability of the system are enhanced.

The invention relates to the field of crude oil heating, in particular to a full-automatic electric heating system and device based on the integrated heat storage technology, and the system comprises a temperature scale module, a heating module and a heat storage module. The heating module is provided with all temperature control nodes of the oil gathering pipeline, target temperature difference compensation, pipe section heat loss compensation and a flow velocity correction factor are integrated, and adaptive electric heating power of all the temperature control nodes of the oil gathering pipeline is generated through a reverse cascade feedback control algorithm. The heat storage module continuously collects temperature field characteristics, operation condition characteristics and medium thermal attributes of the oil gathering pipeline, judges whether heat storage operation is triggered or not through multi-dimensional coupling evaluation, distributes heat storage media through a priority algorithm, drives a valve to switch and execute adaptive heat storage operation, and achieves precise temperature field regulation and control and energy efficiency optimization of the oil gathering pipeline. And stable crude oil transportation is guaranteed.

The invention relates to the technical field of communication and network transmission, in particular to a terminal data acquisition and transmission method for a long-distance heat supply pipeline. The method comprises the following steps that long-distance heat supply pipeline laying area data are obtained, pipe network laying form analysis is carried out, and single-pipe branched heat supply pipe network data are obtained; constructing a pipeline laying model based on the data of the single-pipe branched heat supply network; performing intelligent heat energy flow simulation based on the pipeline laying model, and calculating heat loss in the heat energy flow simulation process to obtain heat loss data; performing thermal protection thermal insulation material integration on the pipeline laying model based on the heat loss data to obtain composite thermal insulation material data; and identifying a straight pipe section of the pipeline laying model, and calculating the minimum thick wall of the straight pipe section to obtain minimum thick wall data. The heat efficiency, the stability and the intelligent management capability of the pipeline system are improved based on the communication and network transmission technology.

The invention relates to the technical field of intelligent control, in particular to an intelligent radiation constant-temperature and constant-temperature system and a remote monitoring method, and the system comprises a radiation tail end control module, a hydraulic balance adjusting module, a fresh air humidity regulation and control module, a cold and heat source matching module and a noise and vibration suppression module. According to the method, through fine collection and analysis of temperature data of differentiated areas and optimization of a heat exchange strategy, precise temperature control is achieved, the response capacity is improved, the fluid flowing state is dynamically adjusted, hydraulic balance is optimized, reasonable distribution of cold water and hot water is ensured, heat loss is reduced, energy efficiency is improved, and air quality monitoring and the humidity change trend are combined; the dehumidification and humidification capacity of the fresh air system is optimized, the humidity adjusting precision is improved, cold and heat source output is dynamically matched with environment heat loads, energy consumption optimization is achieved, hydraulic control and vibration suppression are optimized based on flow speed and vibration monitoring, the mute effect and comfort are improved, multi-dimensional data collaboration is achieved, and accurate adjustment, independent control and efficient energy consumption management are achieved.

The invention relates to the technical field of agricultural intelligent equipment, and discloses a multi-mode sensing fusion control system for an aerogel greenhouse heat preservation quilt. An environment multi-mode monitoring module of the system collects internal temperature and humidity distribution, illumination intensity gradient, soil moisture content profile and external meteorological change data of a greenhouse in real time to generate an environment comprehensive monitoring data set; based on the data set, the thermal insulation mode decision module analyzes the difference between the thermal energy loss rate and the thermal insulation demand of different areas in combination with the physical characteristic parameters and historical regulation and control records of the aerogel thermal insulation quilt, matches a dynamic thermal insulation strategy and generates a multi-stage partition regulation and control instruction; the cooperative parameter optimization module calculates a combination scheme of the unfolding angle, the coverage area and the thickness of the heat preservation quilt, and adjusts a partition cooperative control parameter set; the multi-mode execution controller generates a heat preservation quilt dynamic regulation and control map; the anomaly fusion diagnosis module monitors anomalies and generates a set of regulation error correction factors. The system realizes fine, dynamic and intelligent regulation and control of greenhouse heat preservation.

According to the prefabricated pier column assembly type steam curing cover, the segment steam curing cover can be assembled along with the length change of the pier column, and the assembly type curing cover is high in curing efficiency, small in heat loss, convenient to assemble and disassemble, capable of being flexibly produced in an open-air factory or a construction site and high in adaptability. And meanwhile, the concrete prefabricated part also has the advantages of greatly improving the environmental conditions of a construction site, saving raw materials, accelerating the construction speed, being reusable and the like. The method has good economic benefits, scientific and technological benefits and social benefits.

A polyimide film production line, comprising a steel belt casting machine (A), a peeling transition unit (B), a transverse stretching machine (C), an inspection unit (D), an annealing unit (E) and a winding unit (F) which are sequentially arranged, wherein a drying oven (1) of the steel belt casting machine (A) comprises a frame (11), outer thermally-insulating structures (5) arranged on two sides of the frame (11), and an upper air duct assembly (193) and a lower air duct assembly (194) which are arranged on the frame (11); the frame (11) comprises a bottom thermally-insulating layer (111), a middle-lower heat thermally-insulating layer (112), a middle-upper thermally-insulating layer (113) and a top thermally-insulating layer (114) which are sequentially spaced apart from each other from bottom to top and are parallel to each other; and the transverse stretching machine (C) comprises a transverse pulling box body (7) and a conveying system, and inner tracks (85) located in the transverse pulling box body (7) and outer tracks (86) located outside the transverse pulling box body (7) are provided between a driving sprocket assembly (82) and a driven sprocket assembly (81) of the conveying system. The polyimide film production line effectively reduces the total heating space in the drying box (1) and in the transverse pulling box body (7), the structure is more compact, and the heat loss during heat transfer is reduced, such that the energy consumption can be reduced, and the production cost is reduced.

The invention relates to the technical field of computer aided design, in particular to an energy-saving building design method based on digital simulation, which comprises the following steps: analyzing air velocity, temperature gradient, density and pressure distribution based on indoor aerodynamic parameters, identifying air vortex structure characteristics, and generating an energy-saving building environment data set. According to the method, aerodynamic characteristics in a building are accurately recognized, the vortex structure analysis capacity is improved, the air flowing path is optimized, aerodynamic parameters are combined, thermal resistance and heat conduction materials are matched, the building envelope layer is adjusted, heat flow transmission is guided, heat loss is reduced, the heat energy utilization rate is increased, and the spectral characteristics of the materials are adjusted according to illumination redundancy; the lighting efficiency is optimized, the heat load is reduced, outer wall heat transfer is optimized in combination with airflow characteristics, the ventilation rate is dynamically regulated and controlled, airflow short circuit is avoided, heat flow, illumination and ventilation parameters are integrated, precise optimization of building energy consumption is achieved, and the energy efficiency regulation and control level is improved.

The invention discloses a planning design and optimized operation method for a heat supply system introducing a long-distance heat source, which comprises the following steps: acquiring basic data of the long-distance heat source to be introduced into the heat supply system in a heating season, and analyzing the operation mode change and dynamic characteristic change of a heat supply network of the existing heat supply system after the long-distance heat source is introduced; performing quantitative analysis and comparison on the plurality of heat supply network planning and design schemes in combination with external heat supply industry evolution data in a heat supply season to obtain an optimal heat supply network planning and design scheme; spatial characteristic data and time characteristic data related to the heat supply system are obtained, a space-time model of the heat supply system is established, and heat load prediction of each heat supply network area is carried out in combination with the heat load multi-dimensional influence data; and according to the heat load prediction value of each heat supply network area, combining the multi-dimensional heat supply loss, the heat source output characteristic and the heat supply network heat transmission and distribution characteristic of the long-distance heat source and the traditional heat source, and considering a heat source optimization operation target and a heat supply network regulation and control target, establishing a multi-time scale optimization operation model, and obtaining a corresponding optimization operation strategy.

The invention discloses a double-layer energy management method for a long-distance heat supply system comprising a distributed energy storage adjusting unit. The double-layer energy management method comprises the steps that the long-distance heat supply system comprising the distributed energy storage adjusting unit is established; setting an application mode of a distributed energy storage adjusting unit in the long-distance heat supply system; setting an energy storage and discharge mechanism of the distributed energy storage adjusting unit; by taking maximum consumption of new energy, optimal load supply and demand balance and optimal economic benefit as objective functions, establishing an energy storage adjusting unit optimization operation model in the source side thermal power plant, and deciding energy storage and discharge states and energy storage and discharge of the energy storage adjusting unit under different time scales; taking the minimum load curve standard deviation, the optimal heat load supply and demand balance, the lowest heat loss load rate and the maximum delay thermal power plant investment limit as objective functions, and establishing a heat storage device optimization operation model of a heat storage adjusting pool and a heating station on a pressure isolation station side and a heat user side; and energy storage and release states and heat storage and release of the heat storage adjusting water tank and the heat storage device under different time scales are decided.

The invention relates to the technical field of wafer test equipment, in particular to a heating aging test tool which comprises a storage rack and further comprises a wafer clamp placed on the storage rack. The detection assembly comprises a plurality of elastic probes located on one side of the storage rack and a heating disc; and the hot air guide assembly comprises a ventilation male head arranged on one side of the heating disc, an air guide pipe is arranged on the side, away from the ventilation male head, of the heat conduction cover, the air amount in the cavity is gradually decreased from near to far away from the air guide pipe, and the air flow speed is gradually decreased. A hot air flow guide assembly is arranged on a conveying frame, heat of a heating disc is guided to the position above a wafer through airflow through a heat conduction cover, the space above the wafer is divided into a plurality of cavities, the space size and the space shape of each cavity are set, the air flow speed and the contained hot air amount of each space are adjusted, and therefore the heat conduction efficiency of the wafer is improved. The influence of heat loss in the air flow process is reduced, so that the heating effects of all parts of the wafer are similar, and the detection effect is improved.

The invention relates to the technical field of energy storage module temperature control, in particular to an energy storage module multi-environment temperature automatic regulation and control unit and a regulation and control method thereof.The energy storage module multi-environment temperature automatic regulation and control unit comprises an external protection frame body installed on the outer side of an energy storage module, and an internal heat exchange flow channel used for adjusting the heating value of the energy storage module is arranged in the external protection frame body. According to the energy storage module multi-environment temperature automatic regulation and control unit and the regulation and control method thereof provided by the invention, by adopting the liftable cover body structure design, the heat exchange mode of the energy storage module can be changed according to the temperature change of the internal environment and the external environment, so that the regulation and control performance of the energy storage module at different environment temperatures is improved, and the applicability is improved; the flow direction of an internal heat exchange runner is changed through lifting adjustment of the upper lifting cover, so that heat loss is switched, and the energy consumption of the energy storage module is reduced; and by adopting an automatic regulation and control mode, the operation accuracy can be improved.

The invention discloses an efficient pulsating heat pipe air pre-heater gas stove, and relates to the technical field of gas stoves. The air pre-heater comprises an air pre-heater body, a pulsating heat pipe and an air supply pipeline, the pulsating heat pipe is embedded in an inner cavity of the air pre-heater body, and the bottom of the air pre-heater body communicates with the top of the air supply pipeline; the air pre-heater body comprises a heat insulation radiation cavity and an air pre-heating cavity. The heat transfer efficiency of the pulsating heat pipe is far higher than that of traditional metal heat conduction, heat of high-temperature flue gas can be rapidly absorbed, waste heat loss is reduced, the heat efficiency is improved, secondary air is heated through the air preheater, the temperature of the secondary air is increased, the combustion temperature is increased, gas combustion is more sufficient, emission of carbon monoxide and nitric oxide is reduced, and the energy-saving and environment-friendly effects are achieved. The pulsating heat pipe has the unique advantages of being small and exquisite in structure, flexible in arrangement and efficient in heat transfer, and the heat efficiency of the gas stove is effectively improved through the L-shaped pulsating heat pipe heat insulation air pre-heater structure.

To process measurements acquired using measurement instrumentation (41, 42), a processing system (50) is operative to perform a physics informed data-driven processing technique to determine at least one parameter related to an asset (20) of an electric power system (10). The processing system (50) is operative to perform a preprocessing (70) of measurements to generate input data, with the preprocessing (70) comprising identifying a subset of measurement locations for which the measurements are reliable for inputting to the data-driven processing technique and using measurements obtained at the identified subset for generating the input data. The processing system (50) is operative to estimate local heat loss, using the data-driven processing technique.

The invention discloses an ultrahigh-temperature thermal expansion coefficient tester, which relates to the technical field of detection equipment and comprises an equipment platform, a guide rail, a fixed side and a movable side, the guide rail is arranged on the equipment platform, the fixed side is arranged on one side of the equipment platform, and the movable side is arranged on the guide rail in a sliding mode. The fixed side comprises a displacement detection module and a bearing support; one end of the bearing support is connected with the detection end of the displacement detection module; the moving side comprises an induction heating furnace and a temperature detection module; an insertion opening is formed in the side, facing the fixed side, of the induction heating furnace, and the bearing support enters the induction heating furnace through the insertion opening. According to the invention, the measured material is heated in an induction heating manner, so that the heat loss is greatly reduced, the energy consumption ratio of the equipment is reduced, and meanwhile, the limiting temperature of the thermal expansion coefficient tester is increased. The insulating layer can reduce heat loss, improve the heating efficiency, reduce the temperature gradient in the sample and improve the test precision. And the temperature change condition is directly measured through the infrared thermometer, so that the measurement is more accurate.

The embodiment of the invention discloses a pipeline heat loss prediction method and device based on online monitoring and a medium. The method comprises the following steps: monitoring thermal parameters of the heat supply pipeline in real time through monitoring equipment deployed on the heat supply pipeline; according to the failure days, the failure range and the failure probability of the heat supply pipeline heat preservation layer, a theoretical formula for calculating heat loss through the heat supply parameters is constructed; the theoretical formula is used as a control equation, and a finite element analysis method is used for conducting simulation analysis on the heat transfer process of the heat pipeline; correcting the theoretical formula by using monitoring data, theoretical data and simulation data to obtain a heat loss prediction model of the heat pipeline; and utilizing the prediction model to predict the heat loss under any heat supply parameter setting. According to the embodiment, the accuracy of heat loss prediction can be improved.

According to the low-resistance and low-leakage bag type dust collector provided by the utility model, the air inlet main flue is directly arranged in the middle box body of the dust collection module unit, and is directly perforated to serve as a branch air inlet to enable flue gas to enter the filter chamber, so that a complicated external flue structure in the traditional design is reduced, the resistance of the flue gas in the transmission process is reduced, and the dust collection efficiency is improved. Meanwhile, the heat loss of the flue is reduced; the top of the flue gas chamber is provided with a mounting hole convenient for the cloth bag assembly to enter and exit, the side wall is provided with a manhole door convenient for entering the inside for maintenance, and other openable structures are not arranged any more, so that the leakage rate is reduced, and low-temperature gas invasion is reduced to the greatest extent. Smoke at the outlet of the cloth bag assembly directly flows into the flue gas chamber and then flows out of the smoke outlet connector, and smoke resistance is reduced. The guide shutter mechanisms are arranged at the branch air inlets, smoke can be guided, smoke resistance can be reduced, smoke speed reduction and particulate matter sedimentation are achieved, and the situation that smoke carries large-particle dust to abrade a cloth bag, sparks burn the bag and the like is prevented.

The invention relates to an intelligent generation method, system and device for a passive design scheme of a green building and a medium. The method comprises the following steps: firstly, collecting site limitation data and climate data, inputting the data into a thermal performance simulation model, and outputting building heat loss and solar heat gain distribution; based on the result, a genetic algorithm is used for optimizing parameters such as the building orientation and the window-wall ratio, and a building design parameter combination is formed through energy consumption calculation, standard judgment and iterative optimization. Then, thermal and economic parameters are extracted from the design parameters to construct a data set, the parameters are screened to generate a building layout optimization instruction, and the layout is adjusted in combination with a dynamic adaptation standard to obtain an optimization scheme. And finally, associating the optimized layout with site parameters, performing energy model optimization to form a low-carbon scheme, and coupling environment adaptability data to generate a sustainable development scheme. By means of the method, the problems that traditional design parameter optimization is low in efficiency and multiple targets are difficult to balance can be solved, layout reasonability and energy consumption control precision are improved, and low carbon of the whole life cycle of the building is assisted.

The invention discloses an infrared inspection equipment transformer energy efficiency grade determination method based on deep learning. The method comprises the following steps: 1, collecting data and synchronizing the data; 2, preprocessing the original infrared image; 3, constructing a steady-state heat conduction model, and generating a simulated heat flux diagram; 4, constructing a response function, and performing position alignment through affine transformation to obtain a registration image pair; 5, generating an infrared characteristic tensor and a heat flux characteristic tensor; step 6, generating a heat loss offset feature map; 7, inputting the heat loss offset feature map into an improved SAM Adapter model, and introducing a guide type structure perception mechanism to generate a heat dissipation anomaly representation tensor; and 8, inputting the heat dissipation abnormity representation tensor into the classifier, and obtaining an energy efficiency grade determination result of the transformer. According to the method, steady-state heat conduction modeling and the improved SAM Adapter model are fused, and intelligent judgment of the energy efficiency level of the transformer is achieved.

The invention provides a power transmission line icing multi-mode monitoring method and system, relates to a line deicing technology, and adopts a flaming type unmanned aerial vehicle to perform deicing operation, to perform deicing operation on a power transmission line through a single unmanned aerial vehicle, and to perform deicing operation on the power transmission line through cooperation of a plurality of unmanned aerial vehicles. According to the unmanned aerial vehicle, the deviation degree of flames can be detected in the deicing process, so that the deicing angle of the unmanned aerial vehicle can be adjusted when the deviation of the flames is too large, flame deviation and heat loss caused by wind interference are reduced, heat can be more effectively transmitted to an ice layer, ice layer melting is accelerated, and the deicing speed and effect are improved.

The invention relates to the technical field of heat supply control, in particular to a heat supply secondary network branch line intelligent hydraulic equilibrium method and device, a medium and a product. The method comprises the following steps: constructing a branch topological graph of a heat supply secondary network in a target heat supply area; the environment temperature is obtained in real time, the heat supply station is controlled to supply heat to each heating single body in the target heat supply area based on the dynamic flow control strategy, and the node flow and the node temperature of each node in the branch topological graph are collected; constructing a branch heat supply loss model of the branch topological graph based on the environment temperature, the node flow and the node temperature; the monomer temperature and heat supply backflow data of each heating monomer are obtained, and a monomer heating model is constructed for each heating monomer based on the environment temperature, the monomer temperature and the heat supply backflow data; and determining a flow regulation and control strategy based on the monomer heating model and the branch line heat supply loss model, and adjusting the monomer heat supply flow of the heat supply secondary network based on the flow regulation and control strategy. According to the method, heat supply hydraulic balance can be achieved through precise flow regulation and control precision.

The invention relates to a coating, in particular to a radiation refrigeration heat insulation coating and a preparation method thereof, and the radiation refrigeration coating comprises a water-based emulsion, a reflective inorganic filler, a radiation inorganic filler water-based emulsion, a radiation inorganic filler, functional nanocellulose and a functional additive. The radiation refrigeration coating can reflect energy of a sunlight wave band (0.3-2.5 [mu] m) and perform radiation heat exchange with the universe by utilizing an atmospheric window (8-13 [mu] m), and the cooling effect lower than the environment temperature can be achieved. In high-temperature weather in summer, the surface temperature of a building can be effectively reduced, and the use frequency of an air conditioner is reduced, so that energy consumption is remarkably reduced. Meanwhile, by adding heat insulation type inorganic filler (such as hollow glass beads, silicon dioxide aerogel and the like), the heat conductivity of the coating is reduced, the loss of heat in a building is reduced, and the heating energy consumption in winter is reduced. Due to the dual functions, the coating can achieve an energy-saving effect throughout the year, and the environment-friendly concept of energy conservation and carbon reduction is met.

The invention provides a wafer cleaning and drying method and equipment, and the method comprises the steps: spraying a drying chemical to the center of a wafer fixed on a bearing platform, and starting the bearing platform to drive the wafer to rotate, so as to enable the drying chemical to diffuse from the center of the surface of the wafer to the edge; the heating device located above the bearing table is provided with at least two circles of heating lamp rings which are concentrically distributed, and the heating lamp rings heat the currently diffused edge area of the dry chemical in the process that the dry chemical is gradually diffused from the center to the edge of the wafer on the surface of the wafer. The wafer drying device is used for solving the problems that in the prior art, due to the fact that a drying chemical makes contact with a wafer to generate heat exchange, heat loss is caused, the drying chemical cannot be kept at the optimal working temperature to dry the surface of the wafer, and the drying effect of the wafer cannot meet the production requirement easily. Therefore, the drying chemicals are ensured to be at the optimal working temperature when the wafers are dried.

The invention provides a coal-fired boiler digital twin modeling and intelligent control method, system, equipment and medium, and belongs to the technical field of thermal equipment intelligent control. The method comprises the steps that coal element analysis data, boiler operation parameters and environment parameters of a coal-fired boiler are collected in real time and preprocessed; calculating an external heat source sum and a heat loss sum, and outputting boiler heat efficiency; a twinborn model is constructed, model parameters are calibrated through data collected in real time and calculated boiler thermal efficiency, and boiler indexes are dynamically simulated and output; taking the collected data and the analog output boiler indexes as input characteristics, predicting boiler operation parameters through an LSTM model, generating an optimization control instruction by adopting a multi-objective optimization algorithm, inputting twin model simulation, outputting prediction parameters, and executing the control instruction when the prediction parameters meet preset constraints; and updating LSTM model training data according to the operation result. Intelligent monitoring optimization of the boiler is achieved, and efficiency, safety and environmental protection performance are improved.

The air entraining pipeline can transmit hot air in a heat insulation mode and can release thermal deformation of the pipeline, and internal stress of the structure is reduced. A hot air anti-icing system can reduce heat loss of hot air flow passing through an air inlet cabin. The gas guiding pipe comprises an inner-layer pipe wall and an outer-layer pipe wall, a heat insulation structure is arranged between the inner-layer pipe wall and the outer-layer pipe wall, the inner-layer pipe wall comprises a floating section, and the floating section comprises a first pipe end and a second pipe end which are in lap joint with each other and are in sliding fit. One end of the corrugated pipe is connected with the first pipe end, the other end of the corrugated pipe is connected with the second pipe end, and the corrugated pipe covers the lap joint position between the first pipe end and the second pipe end.

The invention provides a coal mine multi-source waste heat intelligent utilization system and method based on cross-seasonal heat storage, and relates to the technical field of coal mine waste heat utilization, and the system comprises the steps that a heat prediction module monitors and obtains a plurality of historical redundant heat sequences of a plurality of coal mine waste heat sources, and carries out heat prediction in a preset time window; a heat supply demand prediction module reads the heat use characteristic sequence and the associated heat use characteristic sequence and performs heat supply demand prediction; a heat storage scheme optimization module performs heat storage scheme optimization and outputs an optimal heat storage proportion sequence by taking a heat supply quantity sequence meeting a predicted demand as a conditional constraint, taking the maximum capacity of heat storage equipment as an equipment constraint and taking the minimum heat loss as a target; and the heat storage management and control module executes heat storage management and control in a preset time window according to the optimal heat storage proportion sequence. The technical problem that in the prior art, waste heat cannot be effectively stored can be solved, the technical target of intelligent regulation and control system construction is achieved, and the technical effect of improving the waste heat utilization efficiency is achieved.

The invention belongs to the technical field of GIL temperature rise response, and relates to a conductor temperature rise prediction model based on a GIL temperature rise characteristic rapid calculation method, and the model is a three-dimensional finite element simulation model constructed according to the actual size and shape of a GIL; a two-dimensional finite element simulation model is established according to the actual size and shape of the cross section of the GIL, and the unit area loss density of a conductor and a shell is calculated according to Joule heat loss and eddy-current loss in the unit area of the GIL; solving node electromagnetic loss according to the loss density, applying the node electromagnetic loss as a heat source to the three-dimensional finite element simulation model, and carrying out repeated iteration by using a coupling control equation established according to a change relation of material physical parameters and thermodynamic parameters along with temperature until a convergence condition is met so as to calculate a discrete temperature rise characteristic of the GIL under a preset working condition; and establishing a discrete image function according to the discrete temperature rise characteristic data, and establishing a temperature rise prediction model by fitting the function through the characteristic points.

The invention relates to a heat treatment technology, in particular to a heat treatment furnace for processing a heating plate and a heat treatment process thereof, comprising a heat treatment furnace, a furnace chamber arranged in the heat treatment furnace, and a first furnace door and a second furnace door respectively rotationally connected to two ends of the heat treatment furnace. According to the invention, through the reasonably designed structure combination and connection relation of the heat loss prevention structure, the feeding frame is arranged in the furnace chamber of the heat treatment furnace, so that a plurality of heating plates are allowed to be placed on different feeding frames in batches and are conveniently pushed into the heat treatment furnace for treatment, and the heating plates can be conveniently pushed into the heat treatment furnace for treatment in the feeding and discharging process of the feeding frame. The heat loss prevention structures can effectively shield and block the heating wires on the two sides of the furnace cavity, so that when the first furnace door is opened, the heating wires can be protected by the heat loss prevention structures and are located in the closed space of the side wall of the furnace cavity for heating and temperature storage, and heat loss can be effectively reduced through the design; therefore, a more stable and efficient heat treatment environment is provided for subsequent heating disc treatment.

The invention discloses a wafer heating temperature sensing device and a detection method, and the method comprises the steps: coating a threaded end of a temperature sensor with high-temperature heat-conducting lubricating grease, carrying out the high-pressure washing of a threaded tooth tip end of a wafer heating block and a micro-texture gap of an inter-tooth recessed part, and enabling the micro-gap to be filled with the high-temperature heat-conducting lubricating grease, so as to enable the distribution density of the high-temperature heat-conducting lubricating grease to be uniform; gradient thermal compensation radiation heating is adopted, and wafer edge heat loss is dynamically compensated; compensating the temperature fluctuation of the wafer edge area and the wafer center area; the embedded scanning combination detection subsystem scans the surface of the wafer through an infrared thermal imager array and forms a temperature detection combination in combination with an embedded temperature sensor, so that the temperature detection precision and the temperature difference resolution are improved; according to a large amount of wafer heating detection data, through big data statistical analysis, a wafer heating temperature rise process and a wafer heat dissipation process are controlled, temperature difference overshoot in the wafer heating process is balanced, and cooling and heat dissipation uniformity is kept; the fluctuation trend of the surface temperature and the internal temperature of the wafer is predicted, and temperature abnormity is warned in advance.