35 results about "Ambient field" patented technology

The present invention involves a method and apparatus for canceling the effects of magnetic field noise in a torque sensor by placing three sets of magnetic field sensors around a shaft, the first set of field sensors being placed in the central region of the shaft and the second and third sets of field sensors being placed on the right side and left side of the field sensors placed at the central region, respectively. A torque-induced magnetic field is not cancelled with this arrangement of field sensors but a magnetic near field from a near field source is cancelled.

The present invention involves a method and apparatus for canceling the effects of magnetic field noise in a torque sensor by placing three sets of magnetic field sensors around a shaft, the first set of field sensors being placed in the central region of the shaft and the second and third sets of field sensors being placed on the right side and left side of the field sensors placed at the central region, respectively. A torque-induced magnetic field is not cancelled with this arrangement of field sensors but a magnetic near field from a near field source is cancelled.

The present invention relates to an ambient field level monitor device for a radio mobile terminal, comprising a reception unit for receiving a radio signal arriving at the radio mobile terminal to output a reception signal originating from the received radio signal and further to output an ambient field level signal, a synchronization decision section for receiving the reception signal from the reception unit to judge whether or not the reception unit is in synchronism with the received radio signal, and a time constant variable type ambient field level monitoring unit for receiving the ambient field level signal from the reception unit. If the synchronization decision section judges that the reception unit is out of synchronism with the received radio signal, the ambient field level monitoring unit increases its time constant so that the time constant exceeds its time constant to be taken for when the synchronization decision section judges that the reception unit is in synchronism with the received radio signal and if the synchronization decision section judges that the reception unit is synchronism with the radio signal, the ambient field level monitoring unit decreases the time constant. This reduces the measurement error caused by the difference between sampling timings, thereby enabling stable RSSI value detection irrespective of a phase synchronization condition of a mobile station to improve the detection accuracy.

An atmospheric heavy pollution forecast method based on a combination of a numerical model and a statistic analysis includes that: national centers for environmental prediction (NCEP) global forecast ambient field data are obtained; a forecast trigger command is compulsively generated by manual power or automatically generated after the operation of a meteorological model finishes; a forecast command is started to obtain a meteorological factor data set of a simulation area and surrounding areas; air quality monitoring data are obtained; a forecast factor set data file is generated; the visibility of a forecast day is obtained through a visibility forecast sub-mode; an air quality level of the forecast day is differentiated in a qualitative mode through a pollution level initial differentiation sub-mode; a weather type of the forecast day is diagnosed and identified through a weather type identification sub-mode; pollutant concentration of the forecast day is calculated through a heavy pollution quantitative forecast sub-mode; a hazard level of the pollution level to a human body is confirmed, and administrators are provided with a decision basis for emergency management. Compared with a high concentration pollution weather forecast effect of existing air quality forecast systems at home and abroad, the atmospheric heavy pollution forecast method based on the combination of the numerical model and the statistic analysis remarkably improves the air pollution forecast effect.

The invention provides a brain blood oxygen level measuring method based on magnetic resonance. The measuring method includes acquiring an amplitude diagram and a phase diagram of brain tissues; standardizing the amplitude diagram into a noise SD diagram, and acquiring a standardized diagram Ic according to linear fitting of the noise SD diagram; unwrapping the phase diagram to acquire a standard field diagram; putting the standard field diagram and the standardized diagram Ic into a regularization constraint rule to acquire a magnetism sensitiveness matrix without an ambient field; acquiring a vein oxygen saturation value and an oxygen metabolism parameter according to the magnetism sensitiveness matrix. The brain blood oxygen level measuring method has the advantages that magnetic field phase changes generated by air tissues are removed, so that magnetism sensitiveness values of the tissues are regained better, and venous blood oxygen saturation Yv and residual saturation of hemoglobin in venous blood, namely an oxygen extraction fraction (OEF), are acquired.

The invention discloses a low-temperature and high-temperature superconductor mixed magnet for a high ambient field. The low-temperature and high-temperature superconductor mixed magnet for the high ambient field comprises an inner high-temperature superconductor magnet subassembly and an outer low-temperature superconductor subassembly; and after being respectively machined and formed independently, the inner high-temperature superconductor magnet subassembly and the outer low-temperature superconductor subassembly are welded in a nested manner to form a whole structure. On the premise that a superconductor magnet system can normally work, a superconductor safely runs under the high ambient field, the highest running current of the superconductor magnet is increased, and the running performance of the superconductor magnet is further improved. Moreover, a low-temperature superconductor magnet is arranged on the outside of a mixed magnet coil, so that the processing and manufacturing cost of the magnet coil can be effectively reduced.

The invention discloses an automatic measuring device for multi-field simultaneous automatic measurement in an indoor environment field. The automatic measuring device comprises a three-dimensional motion system, a control system and a data acquisition system. The three-dimensional motion system is composed of a longitudinal linear module, a vertical linear module and a transverse linear module according to a three-dimensional coordinate axis mode and an instrument carrying platform for installation of a measuring instrument can be arranged on the three-dimensional motion system. The control system comprises a human-computer interface device, a programmable logic controller and three motor drivers. The data acquisition system comprises the measuring instrument, the programmable logic controller, a data acquisition card and a computer. The automatic measuring device can achieve multi-field simultaneous measurement of the environment field and reduce errors caused by asynchrony of multi-field measurement time, integration of control and measurement is achieved, influence on an experiment by personnel is reduced, the accuracy and efficiency of a test are improved, personnel operation is simplified, time spent on manual data processing is shortened, and errors of manual data processing are reduced.

The invention relates to a geomagnetic field disturbance real-time analysis forecasting system comprising a historical and real-time observation data device, a local geomagnetic field disturbance analyzing device and a geomagnetic field disturbance forecasting module, wherein the historical and real-time observation data device is used for monitoring the varying conditions of a geomagnetic field in real time; the local geomagnetic field disturbance analyzing device comprises a data preprocessing and storing device, a multiple regression analysis model device, a geomagnetic ambient field dynamic extracting device and a real-time geomagnetic field disturbance condition analyzing device; and the geomagnetic field disturbance forecasting module comprises a natural orthogonal decomposition feature vector model device, a feature vector set constructing device, a weighing single-step forecasting device, a geomagnetic field disturbance forecasting analyzing and storing device and a geomagnetic field disturbance forecasting output device, thereby providing the geomagnetic field disturbance real-time analysis forecasting system for forecasting the future geomagnetic field disturbance degreethrough observing data and analyzing the integral variation degree of the local geomagnetic field in real time by utilizing a single geomagnetic station.

The invention provides an orienting and positioning method of three-component gradient measurement of magnetic fields inside wells for magnetic ores outside wells, which includes orienting magnetic ores outside wells and positioning ores. An adopted direction method of horizontal magnetic field gradient anomaly has the advantages of being not disturbed by ambient fields due to the inaccurate inclinometer of nonmagnetic principles, capable of positioning the magnetic ores outside wells omnibearingly; and not only suitable for positioning magnetic ores in the north-south direction of the drilling, but also capable of positioning magnetic ores in the east-west direction of the drilling; and solving the problem that the horizontal magnetic anomaly is incorrect due to the drift azimuth and magnetic ores in the east-west direction of the drilling cannot be positioned.

There is provided a see-through display device capable of ensuring an ambient field-of-view. The see-through display device includes a display control board; a display element configured to emit image light according to an image signal generated in the display control board; a first prism that has an incident surface parallel to the display element, a tiled first emission surface and a second emission surface perpendicular to the incident surface; a partial reflection filter configured to reflect some image light emitted from the first prism and penetrate the remaining image light; and a second prism that has an incident surface having the same angle as the emission surface of the first prism, a curved reflection surface in which image light incident on the incident surface is reflected with positive power and guided to pupils of a user and an emission surface emitting image light to the pupils of the user.

The invention provides a numerical weather prediction method based on a mixed ambient field. According to the method, a mixed data ambient field of numerical weather prediction is generated based on the existing data of the relevant weather data and forecast data; initial parameters required in establishing a WRF mode are set to complete initial establishment of the WRF mode; effective meteorological data on feature level grid of the WRF mode is obtained; in the WRF mode, conclusion parameters of the numerical weather prediction is obtained by calculation according to the effective meteorological data; the conclusion parameters are extracted and processed to obtain conclusion data diagram of the numerical weather prediction. The present invention provides the mixed data using the reanalyzed data and the predicted background field as the background data for driving the meso-scale numerical weather prediction for numerical weather prediction; as the reanalyzed data itself assimilates a large number of observation data and the accuracy is high, which can significantly improve the accuracy of numerical weather prediction and save a lot of computing resources.