As the adoption of photovoltaic systems follows a steep upward trajectory, the demand for a straightforward and effective monitoring approach becomes increasingly compelling. Our project proposes a unified framework centered around a singular tool for collecting, storing and presenting real-time data sourced from both economical sensors and locally crafted alternatives, particularly when commercially available options are prohibitively expensive or unavailable in the local market. Additionally, we leverage free tools to augment our dataset with essential information that may be challenging to obtain. The proposed solution incorporates diverse notification methods for instances where specific values surpass predefined thresholds and it ensures data preservation by storing records on a remote server in the event of accidental loss. The acquired data is subsequently distributed across distinct local databases which will be assessed for factors such as efficiency, storage capacity and integration with prospective applications.

错误:搜索内容不能为空,请输入英文关键词
错误:关键词超出字数限制,请精简
高级检索

Hybrid Data Ecosystem: A Unified Framework for Affordable Sensors, Free Tools Integration and Real-Time Display for PV Cost-Effective Data Management

  • Mohamed Karom,
  • Meryem Yahyaoui,
  • El Bekkaye Chaieb,
  • Hajar Chadli,
  • Sara Chadli,
  • Khalid Salmi,
  • Abdechafik Derkaoui,
  • Abdelouahad Tahani

摘要

As the adoption of photovoltaic systems follows a steep upward trajectory, the demand for a straightforward and effective monitoring approach becomes increasingly compelling. Our project proposes a unified framework centered around a singular tool for collecting, storing and presenting real-time data sourced from both economical sensors and locally crafted alternatives, particularly when commercially available options are prohibitively expensive or unavailable in the local market. Additionally, we leverage free tools to augment our dataset with essential information that may be challenging to obtain. The proposed solution incorporates diverse notification methods for instances where specific values surpass predefined thresholds and it ensures data preservation by storing records on a remote server in the event of accidental loss. The acquired data is subsequently distributed across distinct local databases which will be assessed for factors such as efficiency, storage capacity and integration with prospective applications.