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1209 results about "Test station" patented technology

External field antenna pattern testing method

InactiveCN103558459AReduce the number of movesSolve the problem of test angle positioningAntenna radiation diagramsTest efficiencyOptical measurements
The invention discloses an external field antenna pattern testing method. A test station is looked for as an auxiliary antenna and an antenna rotation platform system are installed on a mobile maneuvering device and move around a measured antenna; a total station in an optical surveying and mapping instrument is innovatively adopted for locating the angle and the distance when the antenna moves and a test station with the corresponding deviation angle can be accurately located. By the adoption of the test station locating method where the maneuvering device, the total station in the optical surveying and mapping instrument and the antenna rotation platform system are combined, the measuring angle can be located accurately to local conditions under conditions of an external field. Meanwhile, after the measuring station is located, the total station is used for automatically tracking azimuth information and a horizontal scan frame on the antenna rotation platform system is used for moving the auxiliary antenna, so that the auxiliary antenna can be accurately located at all measuring stations within a certain measurement angle range at each measuring station, the moving frequency of the maneuvering device is lowered, errors brought by moving of the maneuvering device are reduced and the testing efficiency is improved.
Owner:UNIV OF ELECTRONICS SCI & TECH OF CHINA

High-altitude and low-pressure characteristic simulation test station of air compressor in internal-combustion engine

The invention discloses a high-altitude and low-pressure characteristic simulation test station of an air compressor in an internal-combustion engine, relating to a characteristic simulation test station of an air compressor in an internal-combustion engine, and comprising an air pipeline system and a lubricating system, wherein the air pipeline system comprises a vacuum pump, a pressure stabilizing box, and an air filter, a flow testing section, an air inlet parameter testing section, a flow stabilizing section and an air compressor sequentially connected with an outlet of the pressure stabilizing box, and an air exhaust parameter testing section, a back pressure regulating valve, a stopping valve and an air exhaust intercooler sequentially connected with an outlet of the air compressor;the lubricating system comprises an oil tank, an oil supplying system and a lubricant intercooler; an outlet of the air exhaust intercooler is connected with the pressure stabilizing box so that an air pipeline of the test station forms a sealed air circulation system; and the oil tank is arranged inside the pressure stabilizing box so as to improve the sealing property of the test station. The test station can simulate the environmental pressure at the altitude of 0-30,000 meters and performs the high-altitude simulation characteristic test of the air compressor in the turbo-charged internal-combustion engine, therefore, the sealing property and simulated altitude of the test station are higher than those of the existing simulation test station of the same type.
Owner:TSINGHUA UNIV

Tide predicting method

The invention relates to a tide predicting method for the tide is influenced by various factors, including cyclical factors, such as tidal generation force, and non-cyclical factors, such as wind power, atmospheric pressure, coast characteristics, rainfall, dip angles of the lunar orbit and the like. The predicting accuracy of the traditional harmonic analysis method is influenced by partial tide number, and the traditional harmonic analysis method cannot analyze the influence of non-cyclical factors; the artificial neural network method developed recent years overcomes the defect that the non-cyclical factors cannot be predicted by the harmonic analysis method to a certain extent, but has great data volume required by study training samples and wide involve range, can cover various possible conditions, but has less station historical data of non-cyclical factors. The invention provides a predict model, wherein factors which influence tide non-cyclically, such as wind directions, rainfall, storm surge, coast characteristics and the like, can be fused into the model, and small sample data can receive more accurate results. In the method, a support vector machine (SVM)-based predict model is established, wherein, an SVM toolbox is imported into MATLAB 7.8; training sample data is trained by utilizing svmtrain function; the formed model is tested by using a test sample svmpredict function; and the trained and tested data can predict the tide in the same tide test station.
Owner:SHANGHAI OCEAN UNIV
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