143 results about "Thermal energy" patented technology

The invention discloses an unattended intelligent control method and system for a heat exchange station, and relates to the technical field of heat energy automatic control, and the method comprises the steps: collecting multi-source environment parameter data, constructing an environment parameter sequence set, constructing a heat load prediction model, and outputting a predicted heat load value through extracting a change relation between local temperature trend characteristics and a time sequence. Carrying out residual comparison on an actual thermal load value and the predicted thermal load value, constructing a residual fluctuation measurement sequence, carrying out multi-dimensional state judgment in combination with a preset threshold range, outputting an operation state identifier, carrying out linkage adjustment on a water pump frequency parameter and a water mixing valve opening parameter, calling an optimization control strategy set, and carrying out optimization control on the water pump frequency parameter and the water mixing valve opening parameter. And generating an updated water pump adjusting instruction and an updated valve adjusting instruction. The operation reliability and the energy utilization efficiency of the heat exchange station are improved, unattended intelligent control is achieved, and the technical problems that in a traditional control method, prediction precision is low, abnormal recognition is not accurate, and control parameter coordination is poor are solved.

The invention discloses a virtual sensing method for thermal characteristics of an internal combustion engine. The method comprises the following steps: S1, acquiring temperature distribution data; s2, time sequence temperature data mapping; s3, acquiring fusion temperature data; s4, obtaining thermal characteristics; and S5, abnormal judgment of a combustion chamber, an exhaust pipeline and a cooling system. According to the method, the comprehensiveness and the accuracy of thermal state analysis are remarkably improved by constructing a global sensing system of a three-dimensional space temperature field of the internal combustion engine and combining a multi-source sensor collaborative acquisition and deep learning feature fusion mechanism. Through closed-loop coupling of time-space sequence temperature data and a thermodynamic mechanism model, quantitative correlation between thermal characteristics and combustion efficiency, heat energy loss and cooling efficiency core performance parameters is established. According to the LSTM-CNN-MLP collaborative framework, the spatio-temporal evolution law of a temperature field is extracted in a self-adaptive mode, and the robustness of thermodynamic state perception is remarkably enhanced.

The invention relates to the technical field of coal bed gas development, and particularly discloses a numerical simulation method for multi-field coupling and microwave enhanced drainage and mining of a deep coal bed, which realizes accurate simulation of the whole process of drainage and mining of deep coal bed gas through six key steps: firstly, obtaining a coal bed parameter system; establishing a temperature coupling adsorption and desorption model, and quantifying the influence of the high ground temperature environment on the gas occurrence by correcting a Langmuir equation; constructing a dual-medium heat-gas-liquid-solid full-coupling control equation set which covers coal deformation, gas-water two-phase seepage, heat transfer and electromagnetic field equations; a microwave heat effect model is defined, and electromagnetic energy-heat energy conversion is calculated through a dielectric constant mixing model; deducing a porosity / permeability dynamic evolution equation, and coupling effective stress, matrix shrinkage and a thermal expansion effect; and finally, a COMSOL Multiphysics platform is adopted to realize multi-field coupling solution, and a productivity index is calculated through well circumference integration. According to the method, the inherent limitation of a static parameter model is overcome, and the precision and efficiency of numerical simulation are remarkably improved.

The invention discloses an efficient circulating water heating system based on a heat pump and a control method thereof.The system comprises a multi-stage heat pump system, a circulating water heating loop and an intelligent control unit, and the multi-stage heat pump system is used for increasing heat energy of a low-temperature heat source stage by stage to heat circulating water; the intelligent control unit is integrated with a data acquisition module, a load prediction module, a system modeling module, a parameter optimization module, an instruction issuing module and a performance evaluation module, and can realize thermal load dynamic prediction and thermal performance modeling and optimization control of the heat pump system. The control method is based on deep learning and model prediction control, combines real-time data and an external scheduling instruction, calculates an optimal operation parameter to improve the system energy efficiency ratio or reduce the operation cost, and continuously optimizes prediction and modeling precision through an adaptive learning mechanism. The system has the capacity of intelligent prediction, accurate control, efficient heat transfer and self-optimization, is suitable for occasions such as industries and buildings with high requirements for hot water supply energy efficiency, and remarkably improves the operation efficiency and stability of the system.

The invention relates to the technical field of heat supply system recovery, and discloses a heat supply system heat transfer intelligent recovery method based on an LSTM neural network. The method comprises the following steps: firstly, collecting thermodynamic parameter time sequences of water supply temperature, water return temperature, pipe section flow, environment temperature and the like of each monitoring node of the heat supply pipe network; performing standardization processing on the time sequences, eliminating influence of different physical quantity lines, and generating a standardized thermodynamic time sequence; then, the heat supply pipe network is divided into a plurality of functional areas according to the topological structure and the thermal characteristics, and each area comprises a plurality of associated monitoring nodes; the LSTM neural network is used for deeply analyzing processed data and divided areas, intelligent heat transfer recovery of the heat supply system is achieved, the dynamic change rule of parameters can be accurately captured, the method adapts to complex working conditions, heat transfer recovery is more targeted and reasonable, heat energy waste is reduced, and the operation efficiency of the heat supply system is improved.

The invention discloses a thermal power generating unit coordination control data and mechanism hybrid modeling method and device, computer equipment and a computer readable storage medium, and relates to the technical field of thermal energy engineering and power system modeling and control. Establishing a high-precision dynamic mechanism model of the working medium flow and heat transfer process of the boiler-steam turbine system; then, constructing an error correction model fusing the long-short-term memory network, the convolutional neural network and residual connection; and finally, fusing the mechanism model and the error correction model through parallel computing to form a dynamic hybrid model with physical interpretability and high precision. Through the hybrid modeling strategy, the prediction accuracy of key parameters such as the main steam pressure, the separator outlet steam enthalpy value and the unit load in the wide load range, especially under the dry-state operation working condition is remarkably improved, and a reliable model basis is provided for designing an advanced unit coordination control system.

The invention discloses a constant-pressure constant-temperature energy-saving water supply control system for domestic hot water, particularly relates to the field of building water supply and drainage and heat energy control, and comprises a signal capture module, a risk early warning module, a buffer release module, a pre-judgment adjustment module and a state reconstruction module. The signal capturing module is used for acquiring real-time flow and real-time pressure of a water supply pipeline and a water return pipeline by arranging a flow sensor and a pressure sensor on the water supply pipeline and the water return pipeline respectively, then counting the real-time flow and the real-time pressure according to a time sliding window, and outputting time sequence data; according to the invention, a closed-loop control process of time sequence data capture, disturbance data identification, buffer water body release, pump set operation interval determination and compensation distribution result output is executed in sequence in a sudden water consumption scene, so that real-time and stable temperature and pressure control is realized at a user side; therefore, the problem of constant-temperature and constant-voltage failure caused by feedback lag in the prior art is solved.

The invention relates to the technical field of new energy automobiles, and discloses a new energy automobile thermal management system and a thermal management method thereof.The new energy automobile thermal management system comprises a multi-dimensional data acquisition module, a multi-dimensional data analysis module, a thermal evaluation module, a thermal treatment module and a thermal management module, and the multi-dimensional data acquisition module is responsible for acquiring thermal data, natural environment influence data and equipment parameters; the multi-dimensional data analysis module calculates a thermal energy efficiency optimization coefficient # imgabs0 # temperature control demand coefficient Ez and an integration optimization coefficient Yv according to the collected data, and the thermal evaluation module evaluates and diagnoses the problems that the energy efficiency does not reach the expectation, the temperature control is inaccurate and the integration is unreasonable in the execution process of the thermal management system according to the calculation result of the multi-dimensional data analysis module. The heat treatment module takes measures for found problems according to the evaluation result of the heat evaluation module, the heat management module brings new measures into the system according to optimization measures taken by the heat treatment module, system parameters and operation strategies are updated, and a new heat management system is formed.

The invention relates to the technical field of heat energy machinery, in particular to a gas turbine simulation method and device based on multi-physics field coupling and gas compressor transient heat transfer, and the method comprises the steps: coupling one-dimensional complete machine model data with three-dimensional gas compressor model data to obtain coupling data; and an analysis tool based on the multi-physics field coupling transient numerical simulation technology is obtained through development according to the coupling data, simulation prediction is conducted on the performance condition of the gas compressor under the transient convective heat transfer condition based on the analysis tool, and a simulation prediction result is obtained. Therefore, the problems that in the prior art, simulation time is long, model building and solving are relatively complex, and numerical values are unstable due to the action between physical fields are solved.

The invention discloses a thermal power plant deep peak regulation system and method utilizing high-temperature heat storage energy, and belongs to the field of coupling of industrial high-temperature heat storage energy and thermal power plant deep peak regulation. The system comprises a heating unit which is connected with an electric energy conversion and supply unit and / or a heat energy transfer and storage unit so as to convert electric energy or steam heat energy into heat storage energy of heat storage particles; the heat storage unit is used for storing the high-temperature heat storage particles conveyed by the heating unit; the heat release unit is used for receiving the high-temperature heat storage particles conveyed by the heat storage unit; wherein the heat release unit is a fluidized bed boiler in a thermodynamic system of a thermal power plant, so that heat storage energy of the heat storage particles is transmitted to the original thermodynamic system of the thermal power plant, and deep peak regulation of the thermal power plant is realized through overheating thermal power generation with rated parameters generated by the thermodynamic system. By means of the system, the problem that in the deep peak regulation process of an existing thermal power plant, a thermodynamic system of the thermal power plant and an industrial solid-state high-temperature heat energy storage technology are not coupled is solved.

The invention discloses a thermal power plant heat supply efficiency adjusting method and system, and relates to the technical field of thermal power plant heat supply efficiency adjusting.The method comprises the steps that real-time operation data, weather forecast data and historical data of a heat source, a heat supply pipe network and a heat exchange station are collected; a thermal dynamic propagation model is constructed for each heat exchange station, and the time-varying delay time of heat energy transmission is quantified; performing feedforward compensation on the heat source reference load curve by using the time-varying delay time to generate a personalized load prediction curve; aggregating to form a total load adjusting instruction curve; the system comprises a data acquisition and fusion module, a thermal dynamic propagation model calculation module, a collaborative prediction and delay compensation module and a model self-correction module, source-load collaborative regulation and control are achieved, the problem of heat supply mismatch is solved, the energy efficiency and the model adaptability are improved, and the energy efficiency and the model adaptability are improved. The system stability is enhanced.

The invention discloses a photovoltaic device, and belongs to the technical field of photovoltaic devices, the photovoltaic device comprises a fixing frame of which the top is arranged in an opening state, and heat energy conversion mechanisms are arranged on the two sides of the opening of the top of the fixing frame and used for generating deformation through day and night temperature difference and converting heat energy into mechanical displacement. One end of the heat energy conversion mechanism is fixedly connected with an indexing rotating mechanism and is used for all-weather passive tracking, the heat energy conversion mechanism comprises a heat collection disc and a metal sheet, the metal sheet is located in the heat collection disc, the metal sheet is of a spiral structure, and the spiral metal sheet is used for converting bending deformation of the metal sheet into rotating motion. By adopting the heat energy conversion mechanism and the indexing rotation mechanism, the limitation that a traditional tracking system depends on electric energy is broken through, and the photovoltaic panel can automatically adjust the angle according to the temperature change, so that the orientation of the photovoltaic panel can be adjusted in real time, solar radiation is ensured to be received to the maximum extent, and the power generation efficiency of the photovoltaic device is improved.

The invention discloses an intelligent construction site environment quality real-time regulation and control method and system, and relates to the technical field of intelligent construction site environment regulation and control. Continuous frame thermodynamic images of a construction area are collected, a heat source area H and a low-temperature area C are identified, an ultrasonic anemograph is combined, environment data of the construction area are obtained, a normalized data set S is constructed, and a normalized data set is obtained; constructing a thermal field stability index Wd according to the normalized data set S, further calculating a thermal field stability index difference value delta Wd, evaluating a thermal field stable state, constructing a thermal energy diffusion path and a path diffusion response factor Lj of the thermal energy diffusion path when the construction area is in an abnormal state, screening a risk path, and performing thermal energy conduction evaluation on the risk path to obtain a thermal energy conduction evaluation result. And the adaptation level of the heat energy diffusion path and the air supply equipment is judged, a heat energy conduction adjusting measure is generated, and the construction site environment is adjusted, so that the accuracy and intelligence of environment regulation and control and the system response efficiency are improved.

The invention discloses a divided water tank device for an internal heat exchanger of a split type solar water heater. Butt welding is carried out by utilizing an end enclosure of a stainless steel confined water bank inner bag; the end enclosure is used as the heat exchanger to play the role of a water tank partition board; the water tank is divided into independent divided cavities; the heat exchanger is sealed with the inner bag of the water tank; the adjacent cavity bodies communicate with each other via draught tubes; the medium circulation and the medium supplement, namely unconfined running of the heat exchanging part, are carried out safely and reliably via an upper circulating pipe and a heat collecting part; and the device can fully improve heat energy transformation and reduce heat loss.

The embodiment of the invention provides an intelligent heating method and device based on machine learning and electronic equipment, and the method comprises the steps that preset temperature adjustment operation on indoor temperature is controlled, the temperature change condition of the indoor temperature is obtained, and the temperature response performance of a room is determined; acquiring a preset target temperature, determining a regulation and control temperature and a time pre-threshold thereof according to the target temperature and the temperature response performance, and determining a target control strategy according to the temperature response performance and the regulation and control temperature; acquiring an environment state in real time, identifying the environment state through a pre-trained environment identification model, updating the temperature response performance, and adjusting the target control strategy through the updated temperature response performance; according to the method provided by the embodiment of the invention, through accurate thermal energy compensation, the indoor temperature can be always kept within a set numerical value or range, and discomfort caused by large-range fluctuation of the temperature is reduced.

The invention relates to the technical field of energy management, in particular to a micro-grid-based heat energy management method and system, which comprises the following steps: acquiring temperature and power data and establishing a path corresponding relation, extracting heat response and load change parameters to generate a priority list, embedding a topological structure chart to adjust a path starting sequence, and establishing a path starting sequence. And identifying phase change to form a conflict node group, and writing a control table to generate a path distribution structure. According to the method, path mapping of temperature and power is constructed, node response characteristics are extracted to generate a priority sequence, the path state is updated in combination with a topological structure, interference nodes are recognized based on phase change comparison, a control sequence is set, heat energy distribution is promoted to keep the regulation rhythm, and the recognition capacity of path dynamic behaviors is enhanced; the coordination level between nodes and the resource utilization efficiency are improved, the heat energy dispatching process is promoted to tend to be smooth in the environment of frequent load fluctuation, the fluctuation influence caused by path conflicts and regulation and control lagging is reduced, and the supporting foundation of stable operation is strengthened.

A thermal energy storage (TES) system converts variable renewable electricity (VRE) to continuous heat at over 900° C. Intermittent electrical energy heats a solid medium. Heat from the solid medium is delivered continuously on demand. Heat delivery via flowing gas establishes a thermocline which maintains high outlet temperature throughout discharge. The delivered heat which may be used for processes including power generation and cogeneration. The thermal storage medium may constitute refractory material such as brick or concrete configured with radiation cavities and fluid flow channels to provide for rapid radiative charging from VRE and long-term convective discharging. Configurations of the thermal storage medium enable a substantially horizontal thermocline and heat delivery arrangement, which provides seismic stability and facilitates significant expandability of the TES system primarily by increasing the length of the system without adding undue height, contributing to both stability and efficiency of the heat delivery structure.

The invention discloses an automatic control system for drying waste heat recovery. The automatic control system comprises a heat energy utilization rate calculation module, a flow control module, an airflow analysis module and an adjusting module. The heat energy utilization rate calculation module calculates the current heat energy utilization rate in combination with a preset heat transfer model to obtain the matching deviation of heat exchanger operation and dryer state; the flow control module extracts wind speed and pressure distribution data from the air duct system, analyzes the uniformity of airflow distribution by adopting an airflow simulation algorithm, and determines a deviation area and an adjustment amplitude of air volume adjustment; the airflow analysis module executes accurate adjustment through an automatic control module of an air volume adjusting valve according to the deviation area, the adjusted air speed and pressure data are obtained, and whether airflow distribution reaches a preset uniformity standard or not is judged; the adjusting module obtains flow and temperature monitoring data of the condensate water pipeline, analyzes linkage efficiency of condensate water management and waste heat recovery in combination with a heat recovery rate calculation formula of the waste heat recovery device, and determines optimization requirements.

The invention discloses a monitoring management system based on computer electric energy and heat energy detection, relates to the technical field of computer heat dissipation, and solves the problem of lack of targeted heat dissipation treatment in the prior art. The system comprises an information acquisition and recording unit, a heat energy statistics and early warning unit and a decision output unit, and the temperature and the temperature change condition of each computer are obtained by integrating and recording the heat energy data and the spatial position of the computer and the spatial position of heat dissipation equipment. And finally, based on the signal of the heat energy statistics and early warning unit, determining the minimum number of started heat dissipation device combinations, if several heat dissipation device combinations exist, calculating the selection coefficient of each combination, and selecting the heat dissipation device combination with the highest selection coefficient as the finally started heat dissipation device combination. Therefore, the problems of heating of the computer and electric energy loss caused by heating can be pointedly solved, the starting amount of auxiliary equipment is reduced, and the cost is reduced as much as possible while the heat dissipation effect is achieved.

The invention relates to the technical field of crossing of mechanical engineering and thermodynamics, in particular to novel intermittent piston equipment. The device is characterized by comprising a gas-liquid cylinder system, a piston system, a feeding system, a discharging system and a cooling system, wherein the gas-liquid cylinder system comprises a plurality of partition plates with holes and can further comprise a plurality of monitoring control assemblies, and the piston system comprises a plurality of piston push plates with holes and a plurality of piston driving mechanisms and can further comprise a plurality of monitoring control assemblies. The cooling system comprises a plurality of thermal contact modules, a plurality of heat transfer modules and a plurality of heat dissipation terminals, and can further comprise a plurality of monitoring control assemblies. A perforated partition plate, a perforated piston push plate and a monitoring control assembly are additionally arranged in an existing piston equipment technology, meanwhile, piston pushing and cooling system cooling integrated intermittent operation is adopted, the position of a piston and fluid pressure are monitored in real time, a driving signal is dynamically adjusted, and the working efficiency is improved. Efficient conversion between mechanical energy and gas pressure energy, hydraulic energy or fluid heat energy and precise control over the fluid temperature are achieved, the compression, expansion and mass transfer and heat transfer efficiency of fluid in equipment is greatly improved, the technical application scene is wide, and the technical application value is high.

The invention relates to the technical field of climate adjusting devices, in particular to a Bernoulli principle climate adjusting device which comprises a base, trusses and an office area are arranged at the top of the base, power generation mechanisms are arranged in the trusses, an iron ball wind damper mechanism is installed between the trusses, and a water spraying mechanism is installed at the top of the base. The power generation mechanism comprises a straight barrel, a stable cross beam is fixedly connected into the inner wall of the straight barrel, and a fan is fixedly connected to the bottom of the stable cross beam. According to the climate adjusting device, by means of the Bernoulli principle, through cooperation of the power generation body mechanism and an iron ball wind resistance device, air flow can be effectively promoted, and peripheral wind power generation equipment is driven to operate; meanwhile, the ground surface temperature is adjusted, heat energy generated by power generation and power utilization is reduced, electric energy is saved, the water spraying mechanism can reduce radiation of sunlight to the ground surface through water spraying, dust can be taken away in the air rising process, and the environment quality is improved.

The present disclosure is directed to a hydronic system (1) for transferring thermal energy from a heat pump (3) to at least one thermal energy load (5), wherein the hydronic system (1) comprises: - a heat pump feed circuit section (7) for transporting a heat pump flow (qH) downstream of a heat pump circuit pump (11) for driving the heat pump flow (qH) through a heat pump (3); - a load feed circuit section (13) for transporting a load flow (qL) towards at least one thermal energy load (5); - a storage feed circuit section (19) for transporting a storage flow (qS) that goes through a thermal energy storage tank (23), wherein the storage flow (qS) is selectively directable in a charging direction in an operation mode of the hydronic system (1) in which the thermal energy storage tank (23) is charged with thermal energy and in a discharging direction in another operation mode of the hydronic system (1) in which thermal energy is discharged from the thermal energy storage tank (23), wherein the heat pump feed circuit section (7), the load feed circuit section (13) and the storage feed circuit section (19) are connected at a feed connection point (27); - a load flow feed temperature sensor (79) being arranged at the load feed circuit section (13) downstream of the feed connection point (27) for determining a load flow feed temperature (TL) of the load flow (qL); - a load circuit pump (17) for driving the load flow (qL); and - control electronics (20), wherein the control electronics (20) is configured, depending on the operation mode of the hydronic system (1), to control directly or indirectly a speed of the load circuit pump (17) and a speed of the heat pump circuit pump (11) so that a deviation of the load flow feed temperature (TL) from a reference load flow feed temperature is minimised.

The application discloses a high-speed current-carrying friction in-situ test system and relates to the technical field of precision instruments, which comprises a macro-micro power loading module, a constant force loading module, a current loading module, a force monitoring module and an in-situ detection module. The macro-micro power loading module controls the relative motion of the friction pair to be tested. The current loading module is used for loading current between friction amplitudes. The in-situ monitoring module comprises three in-situ monitoring means, namely acoustic emission, infrared thermal imaging and a high-speed camera. The application can support the test of high-speed current-carrying friction conditions such as multi-angle and multi-posture macro-micro-motion-static coupling, and can simultaneously acquire time sequence information of temperature fields, optics, acoustics and vibration, and further acquire time sequence information of thermal energy, arc intensity, adhesive wear degree, fatigue wear degree and deformation energy of the friction pair, which helps to deeply understand the failure mechanism and modification mechanism of high-speed multi-condition current-carrying friction amplitude and accelerates the optimization work of the current-carrying friction performance of the current-carrying friction pair.

The invention discloses a heat pump equipment electric control box and a temperature control method of the heat pump equipment electric control box, and relates to the field of heat energy equipment.The heat pump equipment electric control box comprises an electric control board and an in-box temperature sensor which are arranged in a sealed box body, and a flow regulating valve and an inlet water temperature sensor which are arranged outside the sealed box body; a water inlet temperature sensor and a flow regulating valve are sequentially connected in series in the bypass pipeline, and the electric control board controls the opening degree of the flow regulating valve at least based on the collected first temperature and second temperature so as to control the internal temperature of the sealed box body. The bypass pipeline is configured to bypass the water pipeline of the heat pump equipment, water is used as a regulating medium for the temperature in the box body, the gap between the bypass pipeline and the opening of the sealed box body is sealed, and the electric control board is configured to control the opening degree of the flow regulating valve based on the first temperature and the second temperature. The sealing performance of the electric control box is ensured, meanwhile, the temperature in the electric control box is controlled, and the operation stability of electric appliance elements in the sealed electric control box is improved.

The present application relates to an energy management intelligent risk monitoring method, system, terminal and storage medium, which belongs to the field of energy management; wherein, an energy management intelligent risk monitoring method includes obtaining the stage supply of thermal energy and the stage supply cost corresponding to the stage supply of thermal energy; determining the thermal energy transmission loss according to the established energy transmission path information and heating-related equipment information; obtaining the actual stage thermal energy supply according to the thermal energy stage supply and the thermal energy transmission loss; determining the actual stage room temperature according to the actual stage thermal energy supply and a preset temperature influence model, and determining the stage resident satisfaction according to the actual stage room temperature; obtaining the thermal energy supply selection result according to the stage resident satisfaction and the stage supply cost. The present application can determine the room temperature according to the actual thermal energy supply, and then determine the resident's living satisfaction; and select the most appropriate thermal energy supply by balancing the thermal energy supply cost and the resident satisfaction.

This application provides a preventative dispatch method, terminal, and storage medium for an integrated electric and thermal energy system, belonging to the field of power system dispatching technology. It constructs an uncertainty set based on the potential failure of transmission lines under extreme weather conditions and employs a two-stage robust optimization framework. First, a first-stage constraint set is established based on known extreme weather forecasts. Then, a second-stage constraint set is established based on the actual occurrence of extreme weather. The objective function is to minimize the sum of the electrical load gap and the thermal load gap under extreme weather conditions. By establishing the uncertainty set and introducing extreme events into the constraints, a complete two-stage robust preventative dispatch model is formed, which is then solved to obtain the preventative dispatch results. Therefore, backup and energy storage are arranged in advance before extreme weather, and network topology is adjusted to reduce the load gap caused by sudden outages. Robust optimization ensures that the system meets both heating and power supply needs under all possible outage scenarios, improving the overall reliability and resilience of the system.

The invention relates to the technical field of edge computing, in particular to a thermal energy data processing method based on edge computing, which comprises the following steps that: edge computing equipment caches spatial temperature field data in a set time window, and performs matrix arrangement on the spatial temperature field data according to spatial coordinates and time coordinates; according to the method, local caching of space temperature field data is completed in a set time window, and a thermal field cube is established through matrix organization of space coordinates and time coordinates, so that synchronous structured arrangement of space and time dimensions can be realized, and spatial-temporal information relevance is improved; performing multi-scale decomposition on the thermal field cube by using three-dimensional discrete wavelet transform, extracting thermal field disturbance information related to the scale while keeping the heat transfer trend, and enhancing the hierarchy of feature expression; and the high-frequency detail coefficient is converted into a frequency domain form, and the periodic frequency response is extracted, so that the formation mode of the periodic abnormity can be identified, and the confusion of the abnormity and background noise is avoided.

The invention provides a compartment temperature control system, and relates to the technical field of computer processing, and the system comprises an information obtaining module which is used for obtaining historical temperature control data of a target building, and extracting temperature change characteristics from the historical temperature control data, and the temperature change characteristics comprise temperature fluctuation characteristics caused by room functions, orientation and personnel activities; constructing a temperature control database based on the historical temperature control data; the data acquisition module is in communication connection with the temperature control database and is used for acquiring real-time temperature data characteristics from the database; the thermal dynamic analysis module is used for analyzing the dynamic temperature change rule of the building under the different thermal load contextual models; and an efficiency verification subunit. According to the method, the differentiated temperature control strategy is intelligently formulated by sensing the position of the person and the working condition of the room, so that the heat energy consumption is remarkably reduced while the personalized comfort degree is improved.

The invention relates to the technical field of multi-energy complementation and waste heat recovery, in particular to a lithium bromide heat pump regulation and control method for coupling solar photo-thermal and computing power waste heat. The method comprises the steps of data acquisition, model calculation, dynamic regulation and control and safety monitoring. The method comprises the steps of collecting multi-source operation data and inputting the data into a thermodynamic matching model; the method is characterized in that coupling heat source exergy efficiency and a thermal response time constant are solved, a flow regulation and heat source switching instruction is generated, and a generator is kept in a high-efficiency temperature range; meanwhile, the crystallization safety margin is calculated in real time, and the anti-crystallization process is triggered when the crystallization safety margin is lower than a threshold value; according to the method, the conversion from static threshold dependence to dynamic thermodynamic matching is realized, the problem of high-grade heat energy waste caused by source-load asynchronization is solved, and the thermodynamic perfection of the system is maximized.

The present invention discloses a temperature control method, system and storage medium for a homogenizing furnace. The method includes: acquiring production data for a first production period and a second production period, using a temperature prediction model to perform temperature prediction on the production data of the two periods respectively, and obtaining a first temperature prediction result and a second temperature prediction result; collecting a thermal energy map for the second production period, and using an auxiliary prediction model to predict the target thermal energy map to obtain a predicted thermal energy map at the second moment; obtaining a temperature prediction result based on the first temperature prediction result and the second temperature prediction result, combined with the predicted thermal energy map, and controlling the temperature of the temperature compensation zone based on the temperature prediction result. The present application can prejudge the temperature of the temperature compensation zone of the homogenizing furnace in advance, realize the temperature prediction and temperature automatic control of the homogenizing furnace, improve the production efficiency and the production quality of aluminum alloys, and reduce the production cost. The present application is applied to the field of homogenizing furnace control technology.