The main purpose of thermal insulation is to reduce the effect of weather conditions, which can reduce energy consumption and help preserve the natural environment. Due to increasing demand for thermal insulation in modern buildings, it is necessary to monitor the effects of weather condition on the efficiency of thermal insulation. To measure this effect, Internet of Things (IoT)-based sensor networks play an important role. This paper proposes an IoT-based monitoring system that measures and analyses the effect of weather conditions on thermal insulation efficiency. The proposed system includes an Arduino as a central unit that interfaces at the input with temperature and relatively humidity sensors, and at the output with a WiFi module that transmit the collected data via the Internet to an IoT analytics platform to aggregate, analyze, and visualize the data. The proposed system is low cost and provides insight into the design and implementation of a complete application with important IoT features, e.g., sensing and transmitting data to the cloud, data processing, and data retrieval through the ThingSpeak open-source API. In a proof of concept, the proposed system was implemented and tested in different environments and at different altitudes, and the results were analyzed and compared to standard weather data. The sensed data can be further analyzed and leveraged by end users to mitigate the effects of weather conditions on thermal insulation.

隔热的主要目的是减少天气条件的影响，从而可以减少能源消耗并有助于保护自然环境。由于现代建筑对隔热的需求不断增加，因此有必要监测天气状况对隔热效率的影响。为了衡量这种影响，基于物联网（IoT）的传感器网络发挥了重要作用。本文提出了一种基于物联网的监控系统，该系统可以测量和分析天气条件对隔热效率的影响。拟议的系统包括一个Arduino，作为中央单元，在输入端与温度和相对湿度传感器接口，在输出端具有WiFi模块，该模块通过Internet将收集到的数据传输到IoT分析平台，以进行汇总，分析，并可视化数据。拟议的系统成本低廉，可深入了解具有重要IoT功能的完整应用程序的设计和实现，例如，通过ThingSpeak开源API感测数据并将其传输到云，数据处理和数据检索。作为概念证明，该提议的系统是在不同的环境和不同的高度上实施和测试的，并将结果与​​标准天气数据进行了分析和比较。最终用户可以进一步分析和利用感测到的数据，以减轻天气状况对隔热的影响。通过ThingSpeak开源API进行数据检索。作为概念证明，该提议的系统是在不同的环境和不同的高度上实施和测试的，并将结果与​​标准天气数据进行了分析和比较。最终用户可以进一步分析和利用感测到的数据，以减轻天气状况对隔热的影响。通过ThingSpeak开源API进行数据检索。作为概念证明，该提议的系统是在不同的环境和不同的高度上实施和测试的，并将结果与​​标准天气数据进行了分析和比较。最终用户可以进一步分析和利用感测到的数据，以减轻天气状况对隔热的影响。