| With the rapid developments of the computer technology and communication technology,people put forward higher requirements for acquiring information-tool sensors.A sensor usually has cross sensitivity,and its output value of sensors not only depends on more than one parameter,but also on the other parameters of its working environment,so that its performance is instability and measurement accuracy low. Therefore,multiple sensors are used to monitor system,but various sensors possess different information characteristic,and we demand an advanced algorithm to process data,so that data fusion technology emerged as the time requires.Data fusion processes synthetical information that comes from multi-sensor or multi-source,so high accurate and high reliable conclusion is gained.This paper introduces the status and development prospects of the current sensor and data fusion technology,analyses the principles and temperature characteristic of Hall current sensor,put forward a two-dimensional regression analysis,and applies it to temperature compensation of Hall current sensor.We complete calibration experiments using the PT100 temperature sensors and Hall current sensors,calculate two-dimensional regression equation for temperature compensation of Hall current sensors according to the experimental data,and implement the temperature compensation goal of Hall current sensor.The two-dimensional regression equation mentioned above is stored in single chip microcomputer(SCM).Combining with level conversion circuit,AD conversion circuit,alarming circuit,key-press circuit,reset circuit,display circuit,we design a set of current and temperature intelligent sensor system.System hardware includes schematic design,PCB layout version,wiring, welding components,circuit debugging,etc.System software is completed by the Keil C51 programming.The temperature compensation results indicate that the measurement accuracy of hall current sensor is improved 1-2 orders of magnitude. |
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