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The function of the smart sensor is put forward by simulating human sensory and brain coordination actions, combined with long-term research and practical experience in test technology. Is a relatively independent smart unit, its emergence of the original hardware performance requirements have been reduced, while the help of software can greatly improve the performance of the sensor.
1. Compound Sensitive Functions ---- We observe the natural phenomena around us. Common signals include sound, light, electricity, heat, force, and chemistry. Sensing element measurements generally take two forms: direct and indirect measurements. The smart sensor has a complex function that can simultaneously measure a variety of physical and chemical quantities, giving information that can more fully reflect the law of motion of matter. For example, a compound liquid sensor developed by the University of California, USA can measure the temperature, velocity, pressure and density of media at the same time. A composite mechanical sensor developed by EG&GICSensors of the United States can simultaneously measure three-dimensional vibration acceleration, velocity, displacement, etc. at one point of an object.
2. Self-compensation and calculation functions ----The engineers and technicians engaged in the development of sensors for many years have been doing a lot of compensation work for the sensor's temperature drift and output nonlinearity, but they have not fundamentally solved the problem. The self-compensation and calculation functions of smart sensors open up a new path for sensor temperature drift and nonlinear compensation. In this way, to relax the precision of the sensor processing, as long as the repeatability of the sensor can be ensured, the signal of the test signal is calculated by the microprocessor through software, and the drift and the nonlinearity are compensated by the multiple fitting and the difference calculation method. Get more accurate measurements.
3, self-test, self-school, self-diagnosis function ---- ordinary sensors need regular inspection and calibration, to ensure that it is sufficient accuracy in normal use, these tasks generally require the sensor to be disassembled from the use of the site to the laboratory or Inspection department.
If the online measurement sensor is abnormal, it cannot be diagnosed in time. The situation with smart sensors is greatly improved. First, the self-diagnostic function performs self-test when the power is turned on, and diagnostic tests are performed to determine whether the components are faulty. Secondly, it can be calibrated on-line according to the time of use. The microprocessor uses the metering characteristic data stored in the EPROM for comparison and proofreading.
4. Information storage and transmission ---- With the rapid development of the Smart Distributed System (Smart Distributed System), the smart unit is required to have a communication function, and the communications network is used for two-way communication in digital form, which is also a key symbol of the smart sensor. one. Smart sensors implement various functions by testing data transmission or receiving instructions. Such as gain setting, compensation parameter setting, internal inspection parameter setting, test data output, etc.
5, the integration of smart sensors ---- due to the development of large-scale integrated circuits make the sensor and the corresponding circuit are integrated on the same chip, and this sensor with some intelligent functions is called integrated smart sensor integrated smart sensor There are three advantages of the function: higher SNR: The weak signal of the sensor is first amplified by the integrated circuit signal and then transmitted over a long distance, which can greatly improve the signal-to-noise ratio. Improve performance: Because the sensor and the circuit are integrated on the same chip, zero drift, temperature drift and zero position of the sensor can be automatically calibrated by the self-calibration unit on a regular basis, and an appropriate feedback method can be used to improve the frequency response of the sensor. Signal conditioning: The analog signal of the sensor is normalized by a programmable amplifier, and converted to a digital signal by analog to digital. The microprocessor performs digital specification in several forms of digital transmission, such as serial, parallel, frequency, Phase and pulse.
1. Compound Sensitive Functions ---- We observe the natural phenomena around us. Common signals include sound, light, electricity, heat, force, and chemistry. Sensing element measurements generally take two forms: direct and indirect measurements. The smart sensor has a complex function that can simultaneously measure a variety of physical and chemical quantities, giving information that can more fully reflect the law of motion of matter. For example, a compound liquid sensor developed by the University of California, USA can measure the temperature, velocity, pressure and density of media at the same time. A composite mechanical sensor developed by EG&GICSensors of the United States can simultaneously measure three-dimensional vibration acceleration, velocity, displacement, etc. at one point of an object.
2. Self-compensation and calculation functions ----The engineers and technicians engaged in the development of sensors for many years have been doing a lot of compensation work for the sensor's temperature drift and output nonlinearity, but they have not fundamentally solved the problem. The self-compensation and calculation functions of smart sensors open up a new path for sensor temperature drift and nonlinear compensation. In this way, to relax the precision of the sensor processing, as long as the repeatability of the sensor can be ensured, the signal of the test signal is calculated by the microprocessor through software, and the drift and the nonlinearity are compensated by the multiple fitting and the difference calculation method. Get more accurate measurements.
3, self-test, self-school, self-diagnosis function ---- ordinary sensors need regular inspection and calibration, to ensure that it is sufficient accuracy in normal use, these tasks generally require the sensor to be disassembled from the use of the site to the laboratory or Inspection department.
If the online measurement sensor is abnormal, it cannot be diagnosed in time. The situation with smart sensors is greatly improved. First, the self-diagnostic function performs self-test when the power is turned on, and diagnostic tests are performed to determine whether the components are faulty. Secondly, it can be calibrated on-line according to the time of use. The microprocessor uses the metering characteristic data stored in the EPROM for comparison and proofreading.
4. Information storage and transmission ---- With the rapid development of the Smart Distributed System (Smart Distributed System), the smart unit is required to have a communication function, and the communications network is used for two-way communication in digital form, which is also a key symbol of the smart sensor. one. Smart sensors implement various functions by testing data transmission or receiving instructions. Such as gain setting, compensation parameter setting, internal inspection parameter setting, test data output, etc.
5, the integration of smart sensors ---- due to the development of large-scale integrated circuits make the sensor and the corresponding circuit are integrated on the same chip, and this sensor with some intelligent functions is called integrated smart sensor integrated smart sensor There are three advantages of the function: higher SNR: The weak signal of the sensor is first amplified by the integrated circuit signal and then transmitted over a long distance, which can greatly improve the signal-to-noise ratio. Improve performance: Because the sensor and the circuit are integrated on the same chip, zero drift, temperature drift and zero position of the sensor can be automatically calibrated by the self-calibration unit on a regular basis, and an appropriate feedback method can be used to improve the frequency response of the sensor. Signal conditioning: The analog signal of the sensor is normalized by a programmable amplifier, and converted to a digital signal by analog to digital. The microprocessor performs digital specification in several forms of digital transmission, such as serial, parallel, frequency, Phase and pulse.
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