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Hardware Design and Development of Intelligent Meter Data Acquisition Module Based on WIFI

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Machine Learning and Intelligent Communications (MLICOM 2020)

Abstract

The purpose of this design is to design a WIFI based intelligent meter data acquisition module; it is mainly composed of HT6015 chip, WIFI module, etc. The voltage and current signals are first entered into the relevant resistive and capacitance filter processing signal, filter clutter and so on, and then transmitted to the RN8027C metering chip to realize the conversion of electric energy into pulse signal, then transmitted to the HT6015 chip to complete the statistics of pulse signal and then to complete the statistics of electric energy. Finally, the power information is transmitted by the WIFI module. The electrical signals in this system are first passed through the capacitance resistor to divide the voltage to produce the equal proportion signal, and are easily adjusted to the input range of the sampling port of the metering chip. The low pass filter is used to filter out the interference signal containing the useful signal, so as to obtain the real power consumption and other information more accurately. After RN8027C the chip, the electrical signal to the pulse signal is transformed, and then the electrical information can be obtained by processing the statistical change of the HT6015 chip, and the WIFI module can be transmitted. As a result, the electronic signal is collected, processed and transmitted quickly, which is the design of the intelligent meter data acquisition module based on WIFI.

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Correspondence to Ming Tang .

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© 2021 ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering

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Tang, M. (2021). Hardware Design and Development of Intelligent Meter Data Acquisition Module Based on WIFI. In: Guan, M., Na, Z. (eds) Machine Learning and Intelligent Communications. MLICOM 2020. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 342. Springer, Cham. https://doi.org/10.1007/978-3-030-66785-6_11

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  • DOI: https://doi.org/10.1007/978-3-030-66785-6_11

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-66784-9

  • Online ISBN: 978-3-030-66785-6

  • eBook Packages: Computer ScienceComputer Science (R0)

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