Firewater

Abstract: Safety systems are designed to operate when certain conditions occur and act to prevent their development into a hazardous situation. Failure of a safety system for a potentially hazardous industrial system or process may have catastrophic consequences, possibly injuring members of the work force or public and occasionally resulting in loss of life. The purpose of this paper is to describe a design optimisation scheme using genetic algorithms applied to a firewater deluge system, which uses available resources to the best possible advantage to obtain an optimal safety system design.

Abstract: The present invention relates to a firefighting robot dispatched to the scene of a fire. The present invention comprises: a mobile platform including a driving device to move by itself while supporting a device of a robot; a caterpillar track operating device installed on both side edges of the mobile platform to enable smooth driving as well as easily passing through an obstacle; a firefighting cannon installed on the mobile platform to spray firewater to the scene of a fire; a sensor unit exploring a fire spot and securing sight; an integrated controller controlling the entire operating part of the robot; a cooling system embedding an inert refrigerant tank, and cooling the operating part by supplying an inert refrigerant if temperature increases to more than a predetermined level; and a free spray nozzle forming a water screen to prevent an increase in the temperature of the robot body when suppressing the fire. Therefore, the firefighting robot is capable of being dispatched to the scene of a fire without interruptions by obstacles by using a caterpillar track, remotely exploring and suppressing the fire spot, and effectively suppressing the fire by using a self-cooling unit.