14 results about "Global temperature" patented technology

The application provides a three-dimensional stacked chip, a temperature control method and an electronic device. The chip comprises a logic die and a storage die stacked on the logic die; a first temperature sensor and a hierarchical temperature controller disposed in the logic die, the temperature controller being configured to control the first temperature sensor to collect first temperature data of the logic die; a second temperature sensor disposed in each layer of the storage die, and a temperature output pin shared by the storage dies, the temperature output pin being configured to output second temperature data of the storage die, the second temperature data being determined based on temperature collected by the second temperature sensor; and a temperature fusion controller connected with the temperature controller and the temperature output pin, and configured to perform scene classification based on the first temperature data and the second temperature data, and perform global temperature collaborative control or local area temperature control based on a scene classification result. Through the application, temperature collaborative control of the three-dimensional stacked chip can be realized.

This invention provides a computational method, system, and computer equipment for fluid-structure interaction heat transfer. Addressing the problem of extremely slow convergence in the later stages of long-tail iterations in existing weakly coupled algorithms, this invention proposes a two-stage decoupling acceleration strategy. The first stage employs a fluid-solid weakly coupled algorithm with an early truncation mechanism: when the global temperature rise has not yet converged, but the convective heat transfer coefficient at the interface reaches a stable convergence state first, the bidirectional fluid-solid iteration is stopped, and the current convective heat transfer coefficient is extracted. The second stage applies this convective heat transfer coefficient as a separate thermal boundary condition to the solid computational domain, stopping the flow field equation calculation and rapidly solving the solid's heat conduction equation in a unidirectional decoupled state until a complete steady state is reached. This invention cleverly utilizes the spatiotemporal differences in the convergence speed of characteristic physical quantities, eliminating redundant iterations without sacrificing engineering accuracy and significantly improving the solution efficiency of heat transfer simulation.

The application discloses a converter valve hall temperature field simulation method and device, a terminal and a medium, and relates to the technical field of converter valve simulation. The scheme provided by the application fuses convolution operation and a multi-head attention mechanism, extracts local thermal features such as a high-temperature area of a valve tower and a tuyere diffusion path in original temperature field sample data by using a convolution layer, and then models a global temperature field distribution formed by cold and hot airflow interaction through a self-attention layer, fuses local temperature gradient details and global heat transfer rules, forms complementary feature expression, and thus improves simulation accuracy under complex working conditions while ensuring calculation efficiency, and provides reliable technical support for real-time monitoring of a converter valve hall temperature field.

This application provides a method, system, device, and medium for temperature distribution prediction and alarm of IC substrates, belonging to the field of IC substrate manufacturing technology. The method includes: collecting basic parameters of the entire IC substrate manufacturing process and preprocessing the basic parameters to obtain a standardized parameter dataset; constructing a multi-physics coupled finite element thermal analysis model based on the standardized parameter dataset; inputting the real-time collected basic parameters into the optimized finite element thermal analysis model to obtain the global temperature distribution data of the IC substrate within a preset time period, and calibrating the finite element thermal analysis model by combining it with measured temperature data; determining and correcting the alarm temperature threshold based on historical qualified production temperature data; comparing the predicted temperature distribution data with the corrected threshold to perform graded alarms. This application achieves global and accurate prediction of temperature distribution during IC substrate manufacturing, and provides timely alarms for abnormal temperatures, improving production safety.

The application discloses an artificial intelligence driven gas stove multi-scene combustion intelligent regulation and control system, and particularly relates to the technical field of gas stoves, and comprises: a multi-modal perception module for collecting pot bottom global temperature field, cooking sound spectrum, flame ion current and pot motion state data in real time; an artificial intelligence decision module internally provided with a cooking process space-time prediction model and a combustion field digital twin, for predicting cooking state evolution trend and generating optimal combustion control parameters; and a multi-physical field collaborative execution module for synchronously adjusting gas supply amount, combustion air supply amount and burner inner and outer ring firepower ratio. Through multi-modal perception, space-time prediction and digital twin technology, the application realizes active prediction and dynamic regulation and control of the cooking state, can intervene before events such as pot overflow and dry burning occur, dynamically adapts to complex cooking actions such as pot overturning, and effectively improves combustion stability and thermal efficiency.

This invention discloses a method for calculating the global temperature field distribution of a transformer. The method includes: obtaining core and winding losses through finite element electromagnetic field simulation and establishing the relationship between winding losses and temperature; testing the relationship between transformer oil thermal properties and temperature; constructing and simulating an electromagnetic-thermal-fluid physical field coupling model to form a temperature distribution database under different load rates; constructing a calculation model with input three-phase current and top oil temperature, and after training with measured data and the database, quickly outputting the global temperature field distribution. This method balances computational efficiency and accuracy, providing strong support for transformer condition sensing.

The application discloses a high-precision temperature control rotary table device and a temperature control method thereof, belongs to the technical field of numerical control machine tool functional components, and aims to solve the problems of uneven cooling, large internal temperature difference and poor rotation precision stability caused by thermal deformation of the existing rotary table. The application adopts an integrally-formed concentric base as a mounting reference, configures a three-stage collaborative cooling architecture composed of a double-layer motor water jacket water cooling circuit, a bearing oil cooling circuit and a double-layer annular air cooling circuit, and combines a global temperature acquisition, a main and auxiliary double-closed-loop water cooling control, a hierarchical air cooling linkage, a dynamic threshold anti-shake, a hierarchical fault tolerance and a thermal error compensation control logic, so that the rotary table temperature is effectively controlled, the rotation precision retention is improved, and the application can be widely applied to high-precision machining scenes of high-end five-axis numerical control machine tools.

The application discloses a high-precision temperature control rotary table device and a temperature control method thereof, belongs to the technical field of numerical control machine tool functional components, and aims to solve the problems of uneven cooling, large internal temperature difference and poor rotation precision stability caused by thermal deformation of the existing rotary table. The application adopts an integrally-formed concentric base as a mounting reference, configures a three-stage collaborative cooling architecture composed of a double-layer motor water jacket water cooling circuit, a bearing oil cooling circuit and a double-layer annular air cooling circuit, and combines a global temperature acquisition, a main and auxiliary double-closed-loop water cooling control, a hierarchical air cooling linkage, a dynamic threshold anti-shake, a hierarchical fault tolerance and a thermal error compensation control logic, so that the rotary table temperature is effectively controlled, the rotation precision retention is improved, and the application can be widely applied to high-precision machining scenes of high-end five-axis numerical control machine tools.

This invention discloses a method for online monitoring of temperature field distribution and coordinated control of fan speed in a quick-freezing tunnel. It involves real-time acquisition of temperature data from multiple spatial sampling points within the quick-freezing tunnel to construct a dataset characterizing the spatiotemporal state of the temperature field. The dataset is analyzed to extract a first feature describing the current spatial distribution of the temperature field and a second feature describing the evolution trend of the temperature field over time. Based on the first and second features, a coordinated control command is generated to adjust the speed of at least one fan within the quick-freezing tunnel. This coordinated control command is then output to adjust the speed of each fan. This invention achieves precise coordinated control based on the global temperature field state, avoiding energy waste caused by excessive or ineffective air supply in traditional PID control or fixed-speed modes. By matching the fan speed with the actual temperature field requirements, the total energy consumption of the fan unit is effectively reduced while meeting the requirements of the quick-freezing process.

This invention discloses a method, device, electronic equipment, and storage medium for monitoring the temperature of electromagnetic transformers. The method includes: S1, initialization and multimodal calibration; S2, collaborative sampling and preprocessing; S3, three-dimensional temperature field reconstruction and digital twin prediction, projecting spatiotemporally registered multimodal temperature samples onto the device's observation grid, generating temperature volume data and local confidence levels using distance- and confidence-based weighted interpolation or radial basis function interpolation, and simultaneously constructing a heat-flow-electric coupling digital twin model and outputting short-term thermal field predictions and prior uncertainties for 10-30 minutes; S4, data assimilation, hotspot diagnosis, and forward-looking early warning. This invention achieves a closed loop consisting of multimodal sensing, three-dimensional reconstruction, digital twin, and data assimilation, enabling high-confidence estimation of the global temperature field under conditions of incomplete measurements, and improving early warning lead time and robustness through adaptive encrypted sampling based on uncertainty feedback.

The present application belongs to the technical field of sheet forming limit test, and particularly relates to a metal sheet forming limit test device and method. The device comprises a forming die system, a heating system, a temperature monitoring and feedback control system, a cooling system, a strain detection system and a general control system. The heating system integrates resistance and induction heating modules to realize heating rate adjustment of 1-100 ℃ / s. The temperature monitoring and feedback control system acquires the global temperature field of the sheet through a thermal imager in real time and dynamically adjusts the heating power. The cooling system supplies the lower die with cooling medium with adjustable temperature and flow rate to simulate the cooling effect of the die in stamping. The strain detection system collects deformation images and calculates strain in real time. The general control system coordinates the subsystems to realize automatic test of the whole process. The present application solves the problems of low heating rate and inability to simulate real non-isothermal forming conditions in the prior art, and provides accurate forming limit data for rapid hot stamping process.

The application provides a transformer heat dissipation method and system based on temperature self-adaptive adjustment, relates to the technical field of temperature adjustment, and the method comprises the following steps: dividing a transformer space into multiple thermal management subdomains, and configuring multiple distributed optical fiber temperature sensors; deploying multiple edge temperature prediction nodes, performing regional temperature fusion prediction, and outputting multiple subdomain-level predicted temperature sequences; inputting a pre-constructed graph structure topology network, performing heat transfer dynamics simulation through a multi-path coupling mechanism, and outputting second-level global temperature field prediction and minute-level thermal evolution trend; after performing transient water cooling linkage control, performing air cooling-water cooling collaborative hedging temperature control. The application solves the technical problem that the existing transformer heat dissipation method adopts single water cooling or air cooling mode, cannot cope with the instantaneous fluctuation and long-term change of the temperature in the operation of the transformer, and leads to low temperature management efficiency of the transformer.

The application discloses a die-casting die temperature intelligent regulation and control device with a local chilling system, relates to the technical field of die-casting dies, and is based on the chilling system in the die-casting die and specifically improves the die temperature control. The temperature control process is mainly concentrated on the local position of the chilling system arranged on the die body. The process is based on the indirect heat exchange between the strong chilling medium and the molten metal in the cavity and uses gas as a "soft heat conduction medium". The process includes three indirect heat exchange processes, namely liquid-liquid, solid-gas-liquid and gas-liquid. Under the condition that the chilling system does not affect the instantaneous chilling of the local position of the cavity, the temperature change in the soft heat exchange bin is actively changed to limit the temperature change process of the die body. The purpose is to avoid irreversible thermal stress damage caused by the large temperature difference of the die itself in the chilling process. The whole process is mainly controlled in a dynamic temperature difference mode, and the global temperature control is only performed on the temperature peak value as a reference object.

The application belongs to the technical field of temperature control, and particularly relates to a computer room temperature control method and system based on distributed optical fiber temperature sensing. The method comprises the following steps: collecting a first temperature set and a second temperature set through two or one distributed optical fiber sensing network arranged in the computer room or the refrigeration unit of the computer room, the sensing network being connected to the energy-using cabinets and the refrigerant outlets of the refrigeration cabinets. In a set unit time, the sum of the temperature rises of all the energy-using cabinets and the sum of the temperature changes of all the refrigerant outlets are calculated. Then, the sum is input into a control model based on the principle of heat energy balance, the operation control parameters of the refrigeration equipment are calculated, and the output of the refrigeration equipment is accurately adjusted according to the operation control parameters. The application realizes high-precision and large-range direct temperature sensing by using DTS technology, and realizes dynamic and accurate matching and energy saving of heat production and refrigeration of the computer room by using a control strategy combining global temperature difference calculation and a physical model.