Method for adjusting and calibrating crystal oscillator frequency of intelligent electric meter based on exhaustion
A crystal oscillator frequency and smart meter technology, which is applied in the direction of measuring electrical variables, measuring devices, instruments, etc., can solve the problems of insufficient matching of a single analytical formula, achieve significant adjustment effects, improve pass rate, and reduce adjustment costs.
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Embodiment 1
[0069] like Figure 5-8 As shown, the present invention provides a method for adjusting the frequency of the smart meter crystal oscillator based on exhaustion, including the following steps:
[0070] S11. Collect the temperature of the smart meter and the frequency of the crystal oscillator under the temperature in each test temperature range. The clock test tool continuously collects the temperature and crystal oscillator frequency of the smart meter in the six test temperature ranges described below, and the crystal oscillator frequency corresponds to the temperature one by one. Specifically, the clock test tool adopts the scanning method to collect, that is, specify the initial temperature and target temperature, and then specify the time length of the incubator from the initial temperature to the target temperature, then the tool will continue to measure the temperature and frequency within this period of time. collection. For example, if it is specified that the heatin...
Embodiment 2
[0160] like Figure 11-13 As shown, this embodiment provides the specific application based on the method of Embodiment 1. The clock test tool continuously collects 280 data in the temperature range of -28°C-65°C, that is, referring to the amount of data collected in Embodiment 1 Method, according to the lowest temperature and the highest temperature in the temperature range, specify the starting temperature as -28°C, the target temperature as 65°C, the total heating time of 25 watches is about 70 hours, and the clock test tooling has 5 channels to collect concurrently, and the collected ( temperature, crystal oscillator frequency) is 280 pairs, and the time for each group to collect a pair of data is 3 minutes, as the basic data of the fitting of this implementation;
[0161] After calculating the temperature drift error, filtering, subsection fitting and crystal oscillator frequency compensation for the data, a significant compensation effect has been obtained. It can be cl...
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