An Anti-collision Early Warning System for Mine Trucks Based on RBF Network and WIFI

Abstract

Heavy-duty trucks in open-pit mines are of huge size and blind areas, so it is difficult for drivers to see other vehicles around the blind areas. In addition, due to the dullness of transportation in mines, drivers are prone to distraction and other phenomena, so collisions between vehicles occur from time to time. In existing technologies, such as radar and infrared ranging, it is difficult to detect vehicles on the other side of the bend at the bend, and it is vulnerable to dust and weather, resulting in false alarm. Aiming at the above problems, a collision prevention and warning scheme for heavy truck in open pit mine based on RBF network and WIFI is proposed. That is to say, a WIFI ranging module is installed in the middle of each mining truck. When the distance between the two trucks is less than the defined range, an early warning signal will be sent, indicating that there are other vehicles near the driver and paying attention to driving safety. The measurement error of WIFI ranging is easy to fluctuate in a long distance, but WIFI ranging has the advantages of long measurement distance, not easily affected by weather and dust, low cost and so on. For the system modeling, the author went to Deerni Copper Mine to collect data, such as the main test parameters: ranging, signal intensity and so on. The model between WIFI signal intensity and distance is constructed. The results show that the system has better measurement accuracy, and thus realizes the early warning function. It realizes the automatic collection and identification of wireless information when vehicles approach, which is of great significance for reducing and eliminating the collision accidents of open-pit transport vehicles and improving the level of safety management.