A Python-Based AIoT Simulation Platform for Multi-Parameter Construction Safety Monitoring

Construction sites face critical safety challenges from environmental hazards, structural risks, and PPE non-compliance, yet traditional manual monitoring remains inefficient and error-prone. This paper presents a Python-based Smart Construction Monitoring Simulator demonstrating AIoT principles for comprehensive safety management without physical infrastructure. The simulator integrates six modules: sensor data simulation (temperature, humidity, structural strain, PPE compliance), MQTT communication, threshold analytics, real-time visualization, intelligent alerting, and logging. Systematic validation demonstrates 94.12% detection accuracy, 96.3% environmental alert precision, and stable 72-hour operation processing 259,000 data points. The modular architecture enables rapid prototyping and serves as an educational platform, demonstrating that simulation effectively replicates real-world AIoT workflows while supporting machine learning, cloud integration, and robotic extensions.