6604 results about "Hot Temperature" patented technology

The invention discloses an inverter intelligent control method based on a self-adaptive algorithm, and relates to the technical field of inverter intelligent control, and the method comprises the steps: multi-source temperature collection and environment recognition, machine learning-based electric-thermal coupling prediction, self-adaptive inverter parameter optimization, and cooperative thermal management and fault diagnosis self-repairing. According to the high-temperature or low-temperature failure risk of the motor and the inverter under the extreme climate, temperature distribution and load information are obtained in real time, the temperature rise trend is predicted in advance, and the current, voltage and modulation strategy of the inverter are actively adjusted, so that safe derating or torque compensation is achieved; multi-sensor cross validation and observer fusion are carried out when sensors drift or devices are aged, stable operation and efficient energy utilization of the system are kept, and the drivability and the whole vehicle reliability in an extreme environment are remarkably improved; in the process, fault diagnosis and self-repairing can be further improved through online model updating, and the durability and economical efficiency of the electric drive system are improved.

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 provides a performance optimization and regulation method for a high-temperature sintering furnace, and belongs to the technical field of intelligent regulation, and the performance optimization and regulation method comprises the following steps: arranging sensors in each heating area of the high-temperature sintering furnace, and monitoring the heating areas in real time; constructing a heating area operation state database, comparing the collected real-time data with a preset sintering process parameter range, and analyzing to obtain a performance analysis set of each heating area; establishing a three-dimensional heat conduction model, simulating heat flow distribution of each heating area under different heating powers and temperature settings, determining a thermal coupling effect of each heating area in different stages, and determining a heat transfer coefficient between adjacent heating areas; and an initial strategy of the high-temperature sintering furnace is determined, the initial strategy is optimized based on the auxiliary parameters of all the heating areas, and all the heating areas of the high-temperature sintering furnace are regulated and controlled according to the optimization strategy. The problems of inaccurate temperature control, single parameter analysis, insufficient thermal coupling effect processing and the like in the traditional regulation and control technology are effectively solved.

The invention discloses a cold and heat supply unit and process capable of deeply utilizing a heat source in the technical field of absorption refrigeration. The cold and heat supply unit comprises a refrigerating unit, a heating unit, a heat source flash tank and a high-pressure absorber. The refrigerating unit utilizes an external heat source to produce cold energy, the heating unit utilizes the heat source used by the refrigerating unit to produce cold energy so as to cool circulating water of the refrigerating unit, and the heat source flash tank utilizes the heat source discharged by the high-pressure absorber to heat; the absorption refrigerating unit is optimally designed, so that the absorption refrigerating unit can deeply utilize a heat source and supply cold and high-level heat energy at the same time, the problem that the heat source utilization rate of the unit is not high is solved, and the requirement for high-temperature heat energy in the production process is met; and low-grade waste heat is converted into cold energy and high-level heat energy, transition and upgrading of energy quality can be achieved, the unit has the cold and heat combined supply function, and the application scene is greatly expanded.

The invention relates to the technical field of wind power operation and maintenance technologies, and discloses a combined heat dissipation system of a fan, the system comprises a multi-source sensing module, a decision control module, a heat dissipation execution module and a safety early warning module, and by setting multi-mode cooperative control, when fan heat dissipation regulation and control are carried out, the heat dissipation of the fan can be controlled in a multi-mode cooperative mode; a dynamic matching mechanism of temperature field characteristics and heat dissipation modes is established, and air cooling, liquid cooling and phase change strengthening modes are automatically switched in real time according to the temperature rise rate and the heat distribution gradient, so that the system can accurately adapt to heat dissipation requirements under different working conditions, timely heat dissipation of a high-temperature core area is guaranteed, the heat dissipation response accuracy is improved, and the service life of the system is prolonged. By arranging the three-dimensional thermal field balancing system, the hot area distribution difference of the bearing, the winding and the power module is recognized in real time, the cooling liquid flow and the airflow guide angle are dynamically adjusted, the three-dimensional thermal unbalance phenomenon in a traditional heat dissipation mode is eliminated, and it is guaranteed that the temperature gradient of all areas in the motor is always kept within a safety threshold value.

The invention relates to the technical field of intelligent control, and discloses a self-adaptive temperature curve control system for high-temperature alloy vacuum casting, which comprises a sensing module, a control module and a control module, and is characterized in that the sensing module acquires multi-point temperature information and preprocesses the information to obtain temperature distribution in a furnace; the acquisition module obtains vacuum environment parameters. The simulation module establishes a three-dimensional dynamic coupling model based on heat conduction, radiation, convection and phase change heat effect, and obtains a real-time temperature evolution prediction result. The generation module obtains a target temperature curve of the corresponding stage. The prediction control module collects a real-time temperature evolution prediction result and a target temperature curve, deviation calculation and trend analysis are carried out, and a heating power and cooling flow control instruction is generated. And collecting product feedback errors and carrying out self-learning correction on prediction model parameters to obtain an optimized control output result. The control and optimization of the high-temperature alloy vacuum casting temperature field are realized, and the structure uniformity of castings and the quality stability of finished products are improved.

The invention relates to the field of mold cooling optimization, and discloses an automobile mold cooling optimization system and method based on reinforcement learning, and the method comprises the steps: collecting the real-time temperature and flow data of each cooling loop, carrying out the preprocessing and abnormity filtering of the data, and constructing a multi-dimensional basic cooling state database through combining historical operation records and environmental parameters; performing spatial mapping and statistical analysis on the temperature and flow data in the basic database, identifying a high-temperature region with heat concentration and a part with remarkable temperature gradient, and forming a local heat feature model; establishing an independent control sub-model, and optimizing cooling water flow and temperature regulation parameters of each loop by adopting a simulation and reinforcement learning combined method; a local adjustment strategy and an overall cooling target are fused, and main loop parameters are optimized through a global control algorithm; in the mold cooling process, temperature and flow fluctuation are continuously monitored, and real-time data are input into an optimization system. The method has the advantage that the cooling precision and efficiency are improved.

The invention relates to the technical field of wire performance detection, and discloses a wire high temperature resistance detection method, device and equipment and a storage medium. The method comprises the following steps: arranging micro thermocouple array sensors on the surface, the bending part and the connecting point of an outer insulating layer of a to-be-measured wire rod to obtain a wire rod temperature monitoring network; placing the to-be-tested wire rod in a constant-temperature box to execute a high-temperature cyclic loading test, and collecting real-time temperature response data of the to-be-tested wire rod; carrying out temperature gradient analysis and heat distribution characteristic calculation to obtain a temperature change characteristic parameter set; executing temperature fluctuation compensation and thermal stress accumulation calculation to obtain thermal stress characteristic parameters; and carrying out aging characteristic analysis on the wire insulating material through the thermal stress attenuation network model to obtain wire predicted life and failure probability distribution of the to-be-tested wire in a high-temperature environment. The method can comprehensively capture the temperature change characteristics of each part of the wire rod, and achieves the precise prediction of the failure probability of the wire rod under different temperature conditions.

The invention provides an intelligent detection method and system for the tensile property of a plastic cable tie. Gradient temperature rise control is executed through the carbon fiber heating tube array, microscopic deformation fluctuation characteristics are captured through the double-grating displacement sensor, and temperature field distribution is collected through the infrared thermal imager. Establishing dynamic correlation between deformation and a temperature field to generate a three-dimensional space-time atlas, identifying a migration path of a thermal aggregation area, recording a standard path, and calculating a thermal anomaly coefficient in combination with pressure data; analyzing temperature conduction hysteresis to generate a heat conduction parameter, and dynamically correcting a threshold value by cross-modal correlation with an abnormal coefficient; a structure degradation index is generated based on the migration path, mapping between the structure degradation index and a temperature field is established to generate a thermal damage compensation coefficient, an abnormal coefficient is calibrated accordingly, and grading early warning is triggered in combination with the path deviation degree. According to the technical scheme provided by the invention, multi-scale damage evaluation from thermodynamic associated data acquisition to molecular chain fracture inversion is realized, and the high-temperature tensile failure critical point is accurately pre-judged through a dynamic calibration early warning mechanism.

The invention discloses a high-temperature surface contact thermal resistance elimination method based on double thermocouple compensation, and belongs to the technical field of material thermal property characterization and testing. The method comprises the following steps: synchronously acquiring double-thermocouple temperature, and obtaining a temperature difference signal through filtering calibration and environment correction; calculating the real-time heat flux density according to the corrected temperature difference, the Seebeck coefficient and the dynamic correction factor; establishing a nonlinear dynamic coupling model containing contact thermal resistance parameters, and performing temperature interval division; identifying a contact thermal resistance parameter on line by adopting a self-adaptive recursive least square algorithm, and generating a dynamic thermal resistance compensation value; and applying the compensation value to a double-thermocouple signal according to the weight, and outputting accurate high-temperature surface temperature. According to the method, data acquisition and preprocessing, dynamic heat flow correction, nonlinear segmented modeling, self-adaptive online identification and refined compensation output strategies are adopted, the influence of high-temperature surface contact thermal resistance can be effectively eliminated, and the accuracy and reliability of temperature measurement in the high-temperature environment are remarkably improved.

The invention relates to a 1100MPa-grade high-strength tool steel wire rod and a manufacturing method thereof, the wire rod adopts a middle-carbon Nb-V-containing chemical component design, after a steel billet is rolled and spun into the wire rod according to the spinning temperature of more than or equal to 860 DEG C, online molten salt semi-quenching isothermal treatment is performed, the wire rod is controlled to be subjected to front-section molten salt treatment, and then the steel wire rod is subjected to hot rolling and hot rolling to obtain the 1100MPa-grade high-strength tool steel wire rod. According to the method, the steel wire rod enters a bainite phase region from a high-temperature austenite state at the cooling speed of more than or equal to 30 DEG C / s to form a structure taking quenched bainite as a main component, and then is subjected to rear-section molten salt heating isothermal tempering and toughening destressing treatment, and finally is subjected to roller way slow cooling to prepare the steel wire rod with a microscopic structure comprising tempered bainite and ferrite, so that the material cost can be reduced, and the production efficiency is improved. The method has the advantages that martensite brittle structures are effectively avoided, the structure state of the hot-rolled wire rod is controlled, the plasticity and cold working performance of the wire rod are improved, the tensile strength of the product can reach 980-1030 MPa, the percentage reduction of area is 61%-66%, and the product can be directly machined into tool parts after cold forming.

The invention relates to the technical field of high temperature sensing and data fusion, in particular to a method for array thermocouple multi-mode compensation and DIC stress field space-time coupling fusion, which comprises the following steps: step 1, in a thermotechnical signal intelligent processing and compensation unit, completing hardware and algorithm collaborative design of an electronic cold junction compensation module; 2, constructing a multi-algorithm fusion compensation module, integrating nonlinear correction, drift compensation and interference suppression functions, and accurately coping with various interference signals through a dynamic weighting strategy; step 3, adopting a sub-pixel-level matching algorithm and a homography matrix calibration technology to realize high-precision space alignment of the temperature and stress measurement units; and establishing a nonlinear incidence relation between the temperature and the stress based on an improved Gaussian process regression model. According to the invention, based on collaborative design of the thermotechnical signal intelligent processing and compensation unit and the DIC vision and temperature data conjoint analysis module, the core precision problem of temperature and stress detection in a high-temperature environment is solved through hardware optimization and algorithm innovation.

The invention discloses a dynamic digital compensation method for the metering error of wide-temperature-interval electric energy meter equipment, and the method comprises the steps: collecting the metering error data of the equipment at different temperatures through a temperature sensing module, so as to construct a historical temperature-error relation library; training an adaptive compensation model based on a historical temperature-error relation library to establish a nonlinear mapping relation between the temperature and the error; in the real-time operation process of the equipment, the current equipment temperature is collected through a temperature sensing module, and the current equipment temperature and the real-time load rate are input into the self-adaptive compensation model to obtain error correction; and the metering result is dynamically adjusted in real time according to the current equipment temperature and the error correction amount so as to output a compensated accurate metering value. According to the method, a temperature sensor does not need to be newly added, dynamic error correction is realized only by utilizing the existing temperature sensing capability of equipment, the metering precision and stability in a wide-temperature environment can be improved, the comprehensive cost is reduced, and the high-precision metering requirements in special environments such as extremely cold and high temperature environments are met.

The invention discloses a military battery operation adjusting system based on extreme environment identification and detection, and relates to the technical field of military power management, the system comprises an environment sensing module, an environment identification and decision module, a thermal management execution module and a battery management module; the environment sensing module is used for collecting environment data such as temperature, humidity, wind speed, dust concentration and solar radiation intensity in real time; the environment recognition and decision module adopts a BP neural network and fuzzy control logic to recognize and classify working condition states, and outputs a control strategy in combination with a PID adjustment algorithm; the heat management execution module realizes heating, heat dissipation and sand prevention operation according to the instruction; and the battery management module dynamically adjusts a charging and discharging strategy according to the identification state. Self-adaptive adjustment of battery temperature and energy management can be realized under extreme working conditions, the system stability is improved, the service life is prolonged, and the system is suitable for battery management in severe environments such as desert, high temperature, low temperature, strong wind and sand, high radiation and the like.

The utility model relates to an unprocessed grain storage pulse dust collector for feed production, which comprises a dust collection shell, an air bag is fixed on one side of the dust collection shell; the anti-frosting assembly is arranged on one side of the air bag, the anti-frosting assembly comprises a temperature and humidity control part, and the temperature and humidity control part is used for controlling the temperature and humidity of air entering the air bag; the temperature and humidity control part comprises a hollow cooling tank and a heating tank, a spiral cooling pipe is fixed in the hollow cooling tank, and a semiconductor chilling plate and a water pump are arranged in the hollow cooling tank. High-temperature air is cooled through the hollow cooling tank and the spiral cooling pipe in the hollow cooling tank, low-temperature air is heated through the heating wire in the heating tank, and humidity in air is reduced while the temperature is regulated and controlled through the hollow cooling tank and the heating wire; deformation, damage and aging of the filter bag under high-temperature and low-temperature conditions can be avoided, and reduction of filtering efficiency due to caking of dust on the filter bag is prevented.

The invention provides a water working medium quasi-saturated compression high-temperature heat pump system based on an ejector, and belongs to the field of compression heat pumps. The problems that after an existing compression system flows through a throttling valve, the superheat degree of steam exhaust is large due to high-temperature lift compression, and the loss of available energy in the throttling process from condensate to a two-phase region is too large are solved. A multi-stage spraying atomization structure is adopted, a micro-nano liquid drop mist flow with the particle size controllable to be 50-200 nm and the liquid mass fraction adjustable to be 5%-10% is formed before compression, the airflow humidity regulation and control precision is remarkably improved, the quasi-saturation compression process is matched, and the thermal matching performance and the energy efficiency level of a system are effectively improved; a main flow inlet of the jet atomizer is changed into a compressor outlet from a condenser outlet, so that the response speed is increased, and meanwhile the jet atomizer is suitable for a complex variable-working-condition system; or single-stage compression is optimized into a two-stage compression form, so that higher heating temperature and more stable system operation are realized; or liquid from a lower-pressure position is injected, so that the injection capacity is improved.

The invention discloses a construction process management and control system based on digital twinning, and relates to the technical field of building construction management, and the system is a three-dimensional digital twinning system constructed based on a BIM model and multi-source sensing data, and can achieve the precise monitoring and management of the construction site temperature, the heat island effect and the hydration heat risk. Firstly, the system provides detailed basic data for thermal risk assessment through accurate marking and data acquisition of a material stacking area on a construction site; by calculating the stacking density coefficient and heat source distribution of each sub-region, the system can identify and analyze the potential heat island effect region in time, and the hysteresis and deficiency of the temperature change of the construction site in the traditional method are avoided. Secondly, the heat island risk identification model can monitor the local heat island effect of the construction site in real time, and provides a specific early warning strategy according to the heat risk level, thereby effectively reducing the negative effects of high temperature on the health of workers, the operation of equipment and the construction quality.

The invention provides a spacecraft quartz powder heat insulation tile which is prepared by adopting high-purity quartz powder (SiO2) as a main raw material and combining a high-temperature-resistant ceramic fiber reinforcement and a nano aerogel heat insulation layer through a high-temperature sintering process. The heat insulation tile has the following advantages: 1, the heat insulation tile has excellent high temperature resistance, and can tolerate 1600 DEG C high temperature for a long time and tolerate 1800 DEG C instantaneous thermal shock for a short time; 2, repeated use: the structure is stable, and high strength is still kept after multiple thermal cycles; light weight: the density is low (less than or equal to 0.5 g / cm < 3 >), and the load of a spacecraft is reduced; and 4, the thermal conductivity is low (less than or equal to 0.05 W / m.K), and heat transfer is effectively isolated. The method is suitable for thermal protection systems (TPS) of spacecrafts, such as thermal insulation of reentry capsules and rocket engine nozzles.

The invention provides a concrete regulation and control system and method integrating heat recovery, spraying and gradient control, and relates to the technical field of concrete curing, and the concrete regulation and control system comprises a temperature sensing element and a humidity sensing element which are mounted on reinforcing steel bars in a concrete structure in a layered manner in the depth direction; the cooling water circulating system comprises a water pump and a cooling water pipe, and the cooling water pipe is arranged in the mass concrete structure and externally connected with a variable frequency circulating pump; the double-water-tank system is matched with the heater to realize graded regulation of water temperature; the automatic spraying system is connected with the integrated electric heating module; the heat recovery and circulation assembly is connected with an outlet of a cooling water pipe in the concrete, recovers concrete hydration heat brought out by the cooling water pipe, and transfers heat of high-temperature cooling water with the temperature being 50 DEG C or above to the phase change heat storage tank; the central control unit continuously receives and records monitoring data of the temperature sensor and the humidity sensor and analyzes the monitoring data in real time, and when the temperature gradient or the humidity gradient exceeds the limit, a gradient field control instruction is automatically triggered to achieve energy efficiency maximization.

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

The invention discloses an excavator heat dissipation control method and system based on environment temperature and operation working conditions. The excavator heat dissipation control method comprises the steps that S1, the operation working conditions of an excavator are divided into five working conditions including the super-heavy load working condition, the heavy load working condition, the medium load working condition, the light load working condition and the super-light load working condition; s2, the external environment temperature is divided into 10 gears; s3, according to the environment temperature and the operation working condition, the heat dissipation requirement is divided into 10 gears; s4, the rotating speed of the cooling fan is adjusted according to the cooling requirement gear, so that the cooling requirement is accurately matched with the rotating speed of the cooling fan; and S5, whether the temperature of the working medium in the excavator is larger than a high-temperature threshold value or not is judged, if yes, heat dissipation is conducted according to the corresponding heat dissipation fan rotating speed obtained through the heat balance test, and if not, heat dissipation is conducted according to the actual heat dissipation requirement gear standard. The problem of heat dissipation redundancy caused by single parameter control is solved, and dynamic matching of the rotating speed of the fan and the composite heat dissipation requirement is achieved. And the energy consumption under the low-load working condition and the cold environment is reduced, and the risk of insufficient heat dissipation under the high-temperature heavy-load working condition is avoided.

The invention relates to a coal field fire high-temperature area identification and judgment method. The coal field fire high-temperature area identification and judgment method comprises the following steps: S10, delimiting a target area of a coal field, and respectively acquiring various data in the target area; s20, establishing a time rule model of temperature change through thermal-time sequence coupling; s30, establishing an incidence relation between temperature and radiation characteristics through thermal-spectral coupling; s40, establishing a chemical reaction association relationship between temperature and gas release through heat-gas coupling; and S50, constructing a three-dimensional feature space through the integration of S20, S30 and S40, classifying the three-dimensional feature space through machine learning, and outputting the probability corresponding to the high-temperature type. The coal field fire high-temperature area identification and judgment method has the advantages that high-precision and strong-anti-interference high-temperature area identification is achieved, and reliable technical support is provided for coal field fire monitoring.

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

The invention discloses a permanent magnet synchronous motor temperature monitoring method based on digital-analog hybrid drive, and the method specifically comprises the steps: dividing a motor into a plurality of heat source nodes, including a stator winding, a stator tooth part, a rotor core and the like, connecting the nodes through a thermal resistance and thermal capacity network, building a thermal network model of the motor, and carrying out the thermal network model; calculating the initial values of thermal resistance and thermal capacity of each component of the motor, and optimizing parameters in a thermal network model by using a differential evolution algorithm based on the lumped parameter thermal network model and in combination with a data-driven strategy. Furthermore, temperature rise prediction is dynamically adjusted according to motor state data (such as stator current, rotating speed and the like) collected in real time so as to realize real-time temperature estimation. The method is high in temperature estimation precision, does not affect the performance of the motor, is simple in calculation, is good in real-time performance, and has physical interpretability. The temperature rise of the motor can be predicted in real time under different working conditions, early warning is given out, motor faults caused by too high temperature rise are effectively avoided, and the reliability and safety of the motor are improved.

The invention discloses a new energy automobile heat dissipation system and method based on gallium-based double-state alloy. The heat dissipation system comprises a cooling pipeline, and the cooling pipeline is filled with a gallium-based double-state alloy cooling medium; the cooling pipeline is connected with a charging pile or an automobile heating part and a radiator; the electromagnetic pump is arranged on the cooling pipeline so as to drive the gallium-based double-state alloy cooling medium in the cooling pipeline to circularly flow between the radiator and the heating component; the controller is electrically connected with the electromagnetic pump so as to control starting, stopping and the rotating speed of the electromagnetic pump; heat brought out by the radiator and the gallium-based alloy from the heating component is released in the radiator, and the cooled alloy circularly returns to the heating component through the cooling pipeline to form closed circulation. According to the invention, a complete heat dissipation management scheme from extremely cold starting to high-power steady-state operation is realized; a'double-state 'working mode enables a heat dissipation medium to have the functions of phase change heat absorption and liquid circulation cooling; and the dilemma problem that a traditional coolant is insufficient in low-temperature freezing and high-temperature heat dissipation performance is solved.

The invention provides a thermal radiation shielding assembly and a thermal radiation shielding system of a star imitator, the thermal radiation shielding assembly comprises a plasma container and a Dewar tank surrounding the periphery of the plasma container, and a first thermal radiation shielding part is arranged in an annular cavity formed between the plasma container and the Dewar tank; the first heat radiation shielding part is fixedly arranged on the periphery of the plasma container in a surrounding mode and comprises a cold pipe assembly, a first heat insulation assembly, a first cold shield assembly and a first supporting assembly; the cooling pipe assembly comprises a cooling pipe which surrounds and is attached to the peripheral wall of the plasma container to extend; the first heat insulation assembly extends around the plasma container, and the inner side surface of the first heat insulation assembly is attached to the peripheral wall of the cooling pipe assembly. The first cold shield assembly and the first heat insulation assembly extend around the plasma container at an interval; the first cold shield assembly is fixed to the outer wall of the plasma container through the first supporting assembly to form multiple heat radiation shielding layers, and high-temperature heat radiation from the plasma container can be isolated.

Embodiments relate to a flame barrier that may be adhered or mechanically fastened to a substrate to provide fire resistance and / or an outer protective surface. The flame barrier may alternatively be adhered or mechanically fastened to an existing flame barrier to provide increased fire resistance and / or increased protective ability. The flame barrier is configured to protect against high temperature flames, prevent flame penetration, and contain aggressive flames to reduce the severity of the flame's impact, heat, and velocity.

The invention relates to the technical field of motors, and discloses a high-temperature-resistant direct-current coreless gear motor and a test system, and the system comprises a temperature monitoring module, a current regulation and control module, a heat dissipation optimization module, a load response module, a cloud analysis module and a virtual verification module. By arranging the temperature monitoring module, multi-dimensional temperature data during operation of the motor can be acquired in real time, and a temperature distribution diagram can be generated, so that the system can comprehensively sense the internal thermal state of the motor and accurately identify local overheating risk points, thereby improving the operation reliability and safety of the motor under a high-temperature working condition; through cooperative operation and closed-loop control of the current regulation and control module, the heat dissipation optimization module and the load response module, according to real-time temperature and load changes, driving current parameters and heat dissipation resource distribution can be dynamically adjusted, and the heat dissipation efficiency is improved. And the output performance and the torque stability of the motor under high-temperature and high-load conditions are ensured.

The invention discloses a dynamic energy-saving control method and system for a cold storage based on deep learning and multi-source data fusion, and relates to the technical field of cold storage energy-saving control, and the method comprises the steps: constructing a thermal field sensing network through a fixed sparse sensor array and a mobile thermal field scanning robot, and collecting temperature, humidity and thermal imaging data; reconstructing a three-dimensional thermal pixel field through registration, interpolation and other processing, and performing space-time alignment on the three-dimensional thermal pixel field, equipment parameters and inventory thermal physical properties; constructing digital twinborn deduction thermal field evolution based on a physical information neural network, and recognizing a high-temperature hot spot and a low-temperature safe area in combination with a space-time diagram attention network; the method comprises the following steps: by taking power consumption cost minimization and over-temperature risk controllability as targets, solving an optimal control strategy containing tuyere parameters and compressor frequency by using a multi-agent depth deterministic strategy gradient algorithm, driving equipment to execute targeted cold supply, and enabling a system to comprise a thermal field sensing layer, a data fusion layer, a digital twinning and prediction layer, a decision optimization layer and an execution layer. And accurate temperature control and energy conservation are realized.

The invention provides an intelligent target identification method and system based on an unmanned intelligent turntable. According to the method, an unmanned intelligent rotary table is used for collecting a thermal imaging video at night, a thermal radiation map is generated through compensation, and a background heat conduction coefficient is extracted. After the high-temperature heat source is positioned, calculating a centroid trajectory, and combining a background coefficient and an environment gradient to establish a dynamic reference temperature field; the heat source is divided into a contact sub-region and a non-contact sub-region according to the heat exchange rate difference, and the boundary mutation of the contact sub-region is marked. And analyzing the collaborative response of the temperature gradient change rate and the boundary deformation rule of the contact sub-region to judge an abnormal behavior. If abnormal, tracking parameters are generated based on the mass center acceleration to adjust the posture of the rotary table to keep the target in the middle, and non-contact subarea temperature diffusion is utilized to verify continuity so as to optimize tracking. According to the method, intelligent discrimination and adaptive closed-loop tracking of night abnormal behaviors are realized by analyzing the dynamic thermodynamic characteristics of the heat source contact area and the deformation rule cooperative response.