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In response to the challenges of signal interference, bandwidth limitation and real-time requirements faced by wireless communication data transmission in modern power systems, this study proposes a power data interawareness enhancement technology based on wireless communication. First, the Low Power Wide Area Network (LPWAN) technology is adopted to optimize the wireless communication architecture between power equipment and data acquisition terminals, which reduces power consumption while increasing data transmission rate and enhances the transmission stability of the system. Next, combined with MIMO (Multiple Input Multiple Output) technology, multi-channel parallel transmission and spatial channel utilization further improve the communication’s anti-interference capability and data transmission reliability, which is especially suitable for power data transmission scenarios with high bandwidth requirements. Finally, the LSTM (Long Short-Term Memory) network algorithm is used to perform time series prediction and anomaly detection on the power data stream, and to provide early warning of potential faults or anomalies. Experimental results show that the maximum transmission rate of the solution based on LPWAN and MIMO technology under different bandwidth conditions has been increased by more than 50%. Especially in the low bandwidth (500 kbps) environment, the transmission rate has been increased from 150 kbps of traditional single-channel communication to 225 kbps. At the same time, when the system faces interference environments with different signal-to-noise ratios (SNR), the LPWAN + MIMO solution enhances the stability of data transmission. In the real-time response and power consumption experiments, the proposed solution can effectively meet the real-time response and energy efficiency requirements of the power system. In summary, the power data interawareness enhancement technology proposed in this paper performs well in improving data transmission rate, anti-interference ability and power consumption control, and provides a new idea for the optimization of wireless communication in power systems.

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Power Data Synaesthesia Enhancement Technology Based on Wireless Communication

  • 会议论文

  • 发表日期：

    2025年

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  • Bing Zhu,
  • Zhigang Jiang,
  • Chen Dai,
  • Liming Ren

摘要

In response to the challenges of signal interference, bandwidth limitation and real-time requirements faced by wireless communication data transmission in modern power systems, this study proposes a power data interawareness enhancement technology based on wireless communication. First, the Low Power Wide Area Network (LPWAN) technology is adopted to optimize the wireless communication architecture between power equipment and data acquisition terminals, which reduces power consumption while increasing data transmission rate and enhances the transmission stability of the system. Next, combined with MIMO (Multiple Input Multiple Output) technology, multi-channel parallel transmission and spatial channel utilization further improve the communication’s anti-interference capability and data transmission reliability, which is especially suitable for power data transmission scenarios with high bandwidth requirements. Finally, the LSTM (Long Short-Term Memory) network algorithm is used to perform time series prediction and anomaly detection on the power data stream, and to provide early warning of potential faults or anomalies. Experimental results show that the maximum transmission rate of the solution based on LPWAN and MIMO technology under different bandwidth conditions has been increased by more than 50%. Especially in the low bandwidth (500 kbps) environment, the transmission rate has been increased from 150 kbps of traditional single-channel communication to 225 kbps. At the same time, when the system faces interference environments with different signal-to-noise ratios (SNR), the LPWAN + MIMO solution enhances the stability of data transmission. In the real-time response and power consumption experiments, the proposed solution can effectively meet the real-time response and energy efficiency requirements of the power system. In summary, the power data interawareness enhancement technology proposed in this paper performs well in improving data transmission rate, anti-interference ability and power consumption control, and provides a new idea for the optimization of wireless communication in power systems.