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@article{193060,
        author = {Sanika J. Kad and Ekta C. Kanojia and Shashwati S. Khairnar and Aditya A. Dheringe and Ms. M. S. Ghule and Prof. M. P. Bhandakkar},
        title = {IOT Based Predictive Maintenance And Safety Alert System},
        journal = {International Journal of Innovative Research in Technology},
        year = {2026},
        volume = {12},
        number = {9},
        pages = {3413-3416},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=193060},
        abstract = {The Predictive Maintenance and Safety Monitoring System is a smart industrial solution which keeps track of the condition of the machines and the safety of the work environment round the clock, through sensor-based data acquisition and software analytics it operates. The system unites vibration, temperature, smoke, and flame sensors with an Arduino microcontroller for the purpose of gathering real-time operational data, these data are then sent to a Java-based backend system for processing and storage in a MySQL database. Besides predicting potential machine failures from abnormal vibration and temperature patterns, the system can detect fire and smoke hazards and automatically alert humans to these dangers through buzzers and web notifications. The Admin and Safety Officer roles have different access privileges that allow administrators to manage machines, monitor systems, handle alerts and schedule maintenance. Most importantly, the platform synergizes predictive maintenance and safety monitoring to lower unplanned downtime, increase machinery lifespan, improve workplace safety, and optimize maintenance costs. Therefore, it is a great fit for the modern industry that focuses on automation, reliability, and smart decision-making.},
        keywords = {Predictive Maintenance, Arduino, Vibration Sensor, Temperature Sensor, Industrial Safety, IoT, Machine Health Monitoring.},
        month = {February},
        }