8 results about "Virtual temperature" patented technology

The invention provides an intelligent temperature control method and system for medical waste treatment equipment based on multi-physics field coupling, and relates to the technical field of computers. The method comprises the steps of collecting multi-dimensional operation data in the operation process of medical waste treatment equipment, performing physical field feature mapping processing on the multi-dimensional operation data to obtain multi-dimensional processing data associated with multi-field features, and dynamically correcting model parameters through data and model deviation collaborative analysis; and analyzing the cross-field characteristics by using the temperature field reconstruction model, generating an equipment cavity global virtual temperature field and a temperature change trend thereof, and adjusting equipment operation parameters by combining multi-field coupling logic based on the temperature state of the core area so as to maintain the temperature in a preset interval. According to the invention, high-precision real-time reconstruction and intelligent control of the temperature field are realized, the problems of incomplete single-point measurement and response lag are solved, and the efficiency and safety of medical waste treatment are improved.

The invention provides a high-power electronic fan control method and device and a storage medium. The method comprises the steps that the real-time temperature of a to-be-cooled component, vehicle driving state data and predicted road condition data are obtained; determining a virtual temperature target value based on the real-time temperature, the vehicle driving state data and the predicted road condition data; determining a target working mode from a plurality of working modes according to the virtual temperature target value; and controlling the high-power electronic fan to be switched from the current working mode to the target working mode, and performing stepless speed regulation on the fan motor according to the real-time temperature in the target working mode. Real-time and predicted data are fused to generate a virtual temperature target value, and a stepless speed regulation mechanism in a mode is matched, so that the real-time temperature deviation can be quickly and smoothly compensated in a set mode, relatively sufficient time is provided for the power change of a high-power electronic fan, and the real-time temperature deviation can be quickly and smoothly compensated. Noise generated due to great power change in a short time and large loss brought to high-power fan equipment and the like are avoided.

The present application relates to the technical field of intelligent control of chemical reactors, and discloses a temperature intelligent control system for a step catalytic cracking reactor, which comprises a temperature field modeling module, a sensor configuration module, an index definition module, a control execution module, an analysis and diagnosis module, and the like. The temperature field modeling module constructs a standard temperature field distribution model through infrared thermal imaging and generates virtual temperature points; the sensor configuration module lays out real temperature points, obtains temperature gradients and temperature point missing rates; the index definition module sets preset temperature indexes based on thermodynamic parameters; the control execution module realizes steady state, dynamic response, heat balance and composite regulation; and the analysis and diagnosis module traces faults and adjusts strategies for targets that do not pass regulation. The system further comprises a data acquisition module and a communication interface module, and realizes data storage and external communication. The present application improves temperature control precision and system adaptive capacity, and is suitable for complex temperature control scenarios of catalytic cracking reactions.

The application discloses a method and device for detecting abnormally installed wafers, which comprises the following steps: collecting temperature data of temperature sensors arranged on each baking unit of a wafer track device within a fixed time period; taking the temperature data of the temperature sensors in each baking unit as a management unit to calculate a virtual temperature parameter data; and calculating and analyzing the abnormally installed wafers according to the virtual temperature parameter data calculated by each management unit. The application takes each baking unit as a management unit, generates a virtual temperature parameter data according to the temperature data of the temperature sensors on each baking unit, and sets the standard deviation of the temperature data by interlocking, so that each baking unit only transmits a virtual temperature parameter data, thereby greatly reducing the amount of data to be transmitted subsequently; and the interlocking between the management units is realized, thereby reducing the installation of the interlocking quantity setting.

The present application relates to the field of industrial data processing, and discloses a temperature data processing method and system for a vacuum forging scene and a storage medium, which identifies key time nodes by analyzing the similarity of the global virtual temperature field at adjacent moments, determines local key regions in combination with a geometric template and a local temperature gradient, and changes the processing of massive space-time data from full and uniform storage to a hierarchical processing mode based on process value density: only small-range high-fidelity secondary local key region data with steep gradient is retained for stage switching events, primary local key region data covering core process positions is retained in full for abnormal events, and the rest of the stable stage non-key region data is sparsely sampled or discarded. The present application effectively reduces the storage size of the virtual temperature field data on the premise of completely retaining key process characteristics and abnormal event information in the forging process.

This application provides a method, execution device, and storage medium for evaluating the accuracy of virtual temperature profiles. The method includes: obtaining a target coefficient for the virtual temperature profile; obtaining a measured temperature profile and a virtual temperature profile of a target product under preset conditions, where the preset conditions indicate the conditions of the heating equipment and / or the conditions of the target object fed into the heating equipment; comparing the measured temperature profile and the virtual temperature profile under each preset condition to obtain a comparison result; and obtaining the accuracy of the virtual temperature profile based on the comparison results under each preset condition. This application can verify the accuracy of these virtual temperature profiles, reduce welding defects, and improve product reliability.

The application belongs to the technical field of electrochemistry, and particularly discloses a wind-cooled electrochemical energy storage cabin temperature control method and system. The scheme takes the temperature corresponding to each battery pack collected by the BMS battery management module as basic temperature data, generates a virtual temperature through dynamic weighting algorithm fusion of all battery pack temperature data, and finally converts the virtual temperature into a corresponding target voltage signal based on the NTC voltage division characteristic. The target voltage signal is used to simulate the NTC voltage division signal and directly input into the air conditioner controller for temperature regulation. That is, on the one hand, the scheme realizes effective utilization of the temperature data collected by the original BMS battery management module of the energy storage cabin, reduces the number of NTC temperature sensors arranged in the cabin body, and can more accurately and comprehensively reflect the temperature in the cabin. On the other hand, based on the NTC voltage division characteristic, the virtual temperature is converted into a corresponding target voltage signal to simulate the original NTC voltage division signal, without the need to modify the air conditioner hardware and program, and the scheme is compatible with existing various wind-cooled air conditioner systems based on NTC sampling.

This application provides a method, apparatus, electronic device, and storage medium for constructing a virtual temperature field inside a vehicle. The method includes: acquiring air conditioning execution status signals, environmental auxiliary signals, and cabin status signals at multiple times within a preset time window before a specified time; constructing a thermal boundary condition vector for a specified area inside the vehicle at multiple times based on the air conditioning execution status signals, environmental auxiliary signals, and cabin status signals of the specified area at multiple times; using the thermal boundary condition vector at multiple times as input to a trained virtual temperature field prediction model, and outputting the virtual temperature of the specified area at the specified time through the virtual temperature field prediction model; and constructing a virtual temperature field at the specified time based on the virtual temperatures of different areas inside the vehicle at the specified time. The above solution solves the mass production problems caused by the use of high-density sensors to measure the temperature of different areas in the prior art, such as high hardware cost, complex wiring harnesses, difficult layout, and complex calibration and maintenance.