Abstract

Safety Tracking is the process of tracing a person’s ware bouts and their vitals and health in case of an emergency or accident. A device which sends or saves this data is considered as a safety tracking device. This device may help multiple sensors attached to the device itself or attached to the person there by reading and sending their ware boats and data within the parameter of the workspace in a company to a live supervisor or data storage so that it can be reviewed in case an accident occurs. This data can be used to study any accidents involving that person and device preventive measures of that accident again. The novel system can acquire the real-time working condition information of faculties such as pipe flow, pressure, temperature, humidity of the environment, current & voltage of the electrical equipment, valve switch, relay action, alarming message it can upload the collected data to the monitoring center to the client/server architecture. Based on these data, an electrical early warning model depending on the change in surroundings based on neural work is proposed. A personal safety evaluation model based on ontology with the usage of protege is established, which facilitate the on-line monitoring and control of building fire protection information, the prediction of accidents and improve building safety level evaluation.

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