32 results about "Virtual temperature" patented technology

In one aspect, a data processing system includes a virtual temperature sensor to provide system temperature for different system configurations, and a controller coupled to the sensor to control operations of the data processing system according to the virtual temperature. The virtual temperature sensor typically derives the temperature of a particular configuration of the data processing system using mathematical models or one or more operating parameters of the data processing system. In one example, the mathematical models include a characterization table which provides the measured temperature data from various system configurations. These measurements are performed with temperature sensors positioned in ideal locations for different configuration, and are preprocessed to provide the virtual temperature computation. The characterization table also includes thermal characteristics, such as thermal time constant and thermal resistance, of the critical components at multiple thermal control states.

In a temperature control method in which a target temperature is given in a thermal treatment furnace and plural heaters are controlled according to the target temperature, the correlation of the each heater and plural profile temperature sensors provided in the thermal treatment furnace is determined, a virtual temperature is calculated on the basis of the detection temperature of each profile temperature sensor and a weighting factor calculated from the correlation, and the each heater is controlled so that the virtual temperature is coincident with the target temperature.

The invention relates to a method for determining a temperature profile and the integral mean temperature and / or axis temperature in a thick wall or shaft. In order to determine a mean integral wall temperature during heating or cooling processes in a multilayer model, the mean integral wall temperature is calculated from the mean temperature of each layer. A multilayer model is used for determining the mean integral wall temperature during heating or cooling processes and draws upon the mean temperature of each layer.

The invention relates to the technical field of aircraft performance tests, in particular to an on-wing testing device for temperature control valves of aircrafts. The on-wing testing device comprises a tester and two temperature measuring probes. The two temperature measuring probes respectively measure temperatures of upstream pipelines and downstream pipelines of the temperature control valves and transmit measured temperature values to the tester; the tester comprises an analysis module, a valve driving control module, a temperature analog-digital conversion module, a fault display module and a virtual temperature control valve module; the temperature control valves can be switched on and off under the control in simulated temperature control valve working states, faults of the temperature control valves are analyzed according to the temperature difference between the upstream pipelines and the downstream pipelines and switching feedback information of the temperature control valves, and fault analysis results can be displayed. The on-wing testing device for the temperature control valves of the aircrafts has the advantages that on-wing tests for the temperature control valves can be guaranteed, the temperature control valves do not need to be detached from aircraft bodies, accordingly, detection work can be facilitated to the greatest extent, and the on-wing testing device is high in accuracy.

The invention relates to an ultralow-attenuation and large-effective-area single-mode optical fiber. The ultralow-attenuation and large-effective-area single-mode optical fiber comprises a core layer and covering layers, and is characterized in that the radius r1 of the core layer is 5mum to 8mum; the relative refractive index deltan1 of the core layer is 0 to 0.20 percent; an inner covering layer, a concave inner covering layer and an outer covering layer covers the core layer in sequence from outside to inside; the radius r2 of the inner covering layer is 8.5 to 12 mum and the relative refractive index deltan2 of the inner covering layer is smaller than or equal to 0.20 percent; the radius r3 of the concave inner covering layer is 12.5mum to 30mum and the relative refractive index deltan3 of the concave inner covering layer is smaller than or equal to 0.40 percent; the outer covering layer is a full fluorine-doped silicon dioxide glass layer and the relative refractive index deltan4 of the outer covering layer is smaller than or equal to 0.20 percent. By reasonably designing a waveguide structure and a material component of the core covering layer, viscosity matching and optical fiber stress of each part of the optical fiber are optimized, and an ultralow-attenuation performance of the single-mode optical fiber is realized. A fluorine-doped silicon dioxide outer covering layer structure is utilized, and material relaxation time of each part of an optical fiber material is changed, so that virtual temperature of the optical fiber is changed, an optical fiber section is simplified and stable control of optical fiber parameters is realized.

The invention discloses a fuzzy control based air conditioner control method and device. The method comprises the following steps of: obtaining a target set temperature T set of an air conditioner and an external environment temperature T external of the air conditioner, and determining initial operation frequency F initial of a compressor of the air conditioner; obtaining an internal environment temperature T internal of the air conditioner, and calculating a difference value delta T between the internal environment temperature T interval of the air conditioner and the target set temperature T set of the air conditioner; judging whether a virtual temperature control condition is met or not according to the external environment temperature T external of the air conditioner; and if the virtual temperature control condition is not met, taking the difference value delta T as temperature difference between the internal environment temperature T internal of the air conditioner and the target set temperature T of the air conditioner, and regulating initial operation frequency F initial of the compressor of the air conditioner. The fuzzy control based air conditioner control method solves the problem that air conditioner fuzzy control in the prior art is not intelligent enough, and improves intelligent control of the air conditioner.

The invention provides a machine learning device, a control system and a machine learning method, and the temperature is difficult to estimate at a position where a temperature sensor cannot be installed or where the temperature sensor is difficult to install during actual operation. The machine learning device includes a virtual temperature model calculating unit having an equation including a first coefficient for determining a heat generation amount and a second coefficient for determining a heat dissipation amount and configured to calculate virtual temperature data by estimating a temperature of a specific portion of a machine by the equation using heat generation factor data; and a thermal displacement model calculating unit configured to calculate, using the calculated virtual temperature data and actual temperature data acquired from at least one temperature sensor mounted to a portion other than the specific portion, an error between thermal displacement estimated by the equation and actually measured thermal displacement, in which the virtual temperature model calculating unit performs machine learning to search for the first coefficient and the second efficient so that the error is minimized.

The invention provides a control device of an electric motor of the transverse machine tripod base sliding frame which can avoid reduced waving efficiency and the short service life caused by the heat even using the cheap electric motor with the load balance rating value by the usual motor under the maximum load weaving situation. In the stated time period, a torque monitor (14) monitors the loadtorque as the man electric motor (10). A temperature deducing circuit (16) calculates the temperature of the electric motor based on the average load torque of the monitoring result of the torque monitor (14). A protecting circuit (15) compares the virtual temperature to the predetermined allowed temperature. When the virtual temperature excesses the allowed temperature, the invention reduces thespeed coefficient to 0.9 for the speed limitation. Under the condition that the virtual temperature is restored, the invention restores the speed coefficient to the original value 1.0.