18 results about "Virtual temperature" patented technology

A multiple-virtual-temperature-sensor-per-computing-component cooling system includes a chassis housing a cooling system and a BMC device coupled to a computing component that includes physical temperature sensors. The BMC device identifies the physical temperature sensors included in the computing component, and creates virtual device(s) that includes a respective virtual temperature sensor for each of the physical temperature sensors. The BMC device then retrieves respective temperature data from each of the physical temperature sensors and, for each virtual temperature sensor included in the virtual device(s), provides the respective temperature data that was retrieved from the physical temperature sensor for which that virtual temperature sensor was created in a cooling system control algorithm to generate cooling system control information. The BMC device then uses the cooling system control information to control the cooling system.

The invention discloses a heat distribution pipeline temperature regulation and control method based on the Internet of Things and a control system thereof, relates to the technical field of industrial Internet of Things, and solves the problem that local heat imbalance is difficult to recognize in time due to insufficient sensor coverage in an existing heat distribution pipeline network. And the problems of overall overheating and frequent valve action caused by mismatching of the algorithm response speed and the pipe network thermal inertia are solved. According to the scheme, a static feature library is built based on pipe section physical parameters, multi-node temperature and flow data are collected, a time sequence is unified, a virtual temperature model is built in combination with transmission time lag and heat loss, and temperature estimation and confidence correction are conducted on an area without measuring points; identifying a local thermal imbalance region on the basis of residual analysis, and coordinating rapid adjustment and slow correction through a double-time-scale control framework; when the control exceeds the limit, a hierarchical step strategy and an instruction protection mechanism are adopted, so that energy consumption and equipment abrasion are avoided; the temperature regulation and control precision and the operation stability of the heat supply pipe network are remarkably improved.

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 a kind of socket connection pipeline parameterized modeling system and modeling method, belong to computer aided engineering field.The present application is driven finite element software by Python script, realizes the automatic generation from standard drawing size to complete solution input file.The core steps include: parameter is collected by graphic interface;Based on analytical geometry algorithm, the control point coordinates of complex profile of socket, spigot and T type rubber ring are accurately solved;Automatic model is built and material attribute is given;According to geometric feature, surface domain is automatically cut and anti-lock gradient grid is generated;"shrinkage-expansion-insertion" multi-step analysis sequence based on virtual temperature field is created to solve large interference contact problem;Finally, standard INP file is exported by one key.The present application solves the defects of low efficiency, easy to make mistakes and difficult to standardize of traditional manual modeling, provides full-process automatic solution for large-scale, high-precision simulation of pipe interface.

The invention relates to an anti-interference leakage monitoring device for a special gas system, and the device comprises a pressure sensor which is used for monitoring the internal pressure of a special gas pipeline and outputting an original pressure signal; the modularized heat management unit is arranged close to the pressure sensor, is used for establishing a virtual temperature measurement point synchronous with the temperature of internal gas outside the special gas pipeline, and comprises an annular heat conduction jacket and a temperature sensor, and the annular heat conduction jacket is tightly attached to the outer wall of the special gas pipeline; a temperature measuring probe of the temperature sensor is arranged on the annular heat conducting jacket; and the processing unit is in communication connection with the pressure sensor and the temperature sensor so as to receive the original pressure signal and the temperature signal, and the processing unit is configured to execute a dynamic compensation algorithm based on the original pressure signal and the temperature signal and output a calibrated pressure signal. According to the invention, the problem of pressure monitoring distortion under the composite interference of environment temperature change and forced convection can be effectively solved, and the false alarm rate and the missing report rate are obviously reduced.

The present application relates to the technical field of lighting control, and particularly relates to a lamp adjustment system based on indoor environment sensing of Internet of Things, which comprises: a main control layer sensing unit for collecting indoor temperature and overall indoor illumination; a correction layer sensing unit for collecting outer wall surface temperature and window edge illumination; a basic target determination unit for determining a color temperature basic value and a brightness basic value; a thermal inertia correction unit for determining a time shift factor and a rate factor based on the change rate of the inner surface temperature of the outer wall, and determining a virtual temperature based on the time shift factor; a boundary constraint unit for constraining the effective values of the time shift factor and the rate factor; an adjustment instruction generation unit for determining a color temperature adjustment rate based on the constrained rate factor, and generating a color temperature adjustment instruction and a brightness adjustment instruction; and an Internet of Things communication unit for issuing the above instructions to a lamp controller and interacting with a cloud platform to receive parameter configurations. The present application solves the problem of misalignment between light color adjustment and indoor thermal sensing of the existing system.

Apparatus and methods for direct and guaranteed platform and surface temperature control are disclosed. An apparatus and method for thermal hardware assistance. For example, one embodiment of a processor comprises: a plurality of functional circuit blocks; an interconnect coupled to the plurality of functional circuit blocks; one or more physical or virtual temperature sensors for capturing one or more surface temperature measurements; a power management controller to execute a dynamically adjustable thermal control loop to perform an evaluation of the one or more surface temperature measurements based on the corresponding one or more temperature control values, and to responsively distribute power to the plurality of functional circuit blocks according to the evaluation, the power management controller is used to dynamically adjust parameters of the thermal control loop based on the measured environmental conditions.

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.

To provide an air conditioning control technique capable of appropriately determining a control target value of an air conditioning system in the air conditioning system in which a space having a heat source is set as an air conditioning target.SOLUTION: An air conditioning system executes: first processing for acquiring a value correlated with heat quantity generated in a heat source from the heat source or an apparatus connected to the heat source as an input value; second processing for performing, with respect to each of a plurality of alternated virtual control target values, processing for calculating a virtual temperature of a space when an air conditioning apparatus is operated at a specific control target value from the input value and characteristic data, after acquisition of the input value through the first processing; and third processing for determining a virtual control target value that enables the virtual temperature calculated in the second processing to satisfy a temperature condition specified in the space and minimizes electric power consumption of an entire system at least including the air conditioning system, out of the plurality of the virtual control target values, as a control target value of the air conditioning apparatus.SELECTED DRAWING: Figure 3

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 application discloses a steel support servo system simulation method and system based on virtual temperature, which comprises the following steps: determining the virtual temperature increment and the servo steel support axial force increment of each lane of servo steel support according to the excavation depth, and further determining the load conversion coefficient matrix of each lane of servo steel support; determining the axial force increment required by the servo steel support according to the axial force setting target value of the servo steel support and the axial force measured value of the servo steel support; further obtaining the applied axial load matrix of the servo steel support from the actual axial force change matrix formula of the servo steel support, and then converting the virtual temperature matrix used for adjusting the axial force. The application can accurately simulate the process that the steel support servo system loads the new support when the new support is erected and ensures that the axial force of the original support is not lower than the setting value.

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.

The application relates to the technical field of atmospheric parameter inversion model, and provides a method and system for constructing an atmospheric model based on virtual temperature correction, which solves the problem of insufficient adaptability of a dynamic scene. The application obtains a radiation brightness observation value of a satellite thermal infrared band, synchronously records a satellite observation zenith angle and an azimuth angle, and collects surface coverage type data, a dew point temperature and corresponding height information. Upward and downward radiation components are eliminated. A normalized vegetation coverage index is calculated based on satellite red light and near-infrared band reflectivity data, a surface coverage type is combined to construct a specific radiation rate mapping relationship, and a surface specific radiation rate spatial distribution is inverted. Vertical layered atmospheric data are generated based on the dew point temperature and the height, and a radiation transmission path correction parameter is constructed in combination with the observation angle. Finally, an atmospheric radiation transmission model is established, and a continuous spatialized virtual temperature field is output. The application solves the problem of insufficient adaptability of a dynamic scene in the prior art, and realizes high-precision inversion of a virtual temperature vertical profile of the atmosphere.

The application discloses a high-speed temperature measurement and laser gas sensing concentration correction method and product. In view of the problem that the response time of the prior art temperature measurement method is slow and the requirement of a TDLAS high-speed measurement system for rapid correction cannot be met, thereby errors are caused. The method is based on a three-dimensional ultrasonic wind device and a laser gas concentration measurement device, and the method comprises the following steps: acquiring an initial temperature and an initial air pressure of a to-be-measured point, and obtaining an initial ppmV of water vapor of the to-be-measured point by using the laser gas concentration measurement device; inputting the ppmV into the three-dimensional ultrasonic wind device, and acquiring a virtual temperature of the to-be-measured point by using the three-dimensional ultrasonic wind device; converting the virtual temperature into an air temperature based on the ppmV; inputting the air temperature into the laser gas concentration measurement device, and measuring a gas absorption curve by using the laser gas concentration measurement device; and correcting the ppmV based on the air temperature and the gas absorption curve. The accuracy of high-speed gas concentration measurement is improved.

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.