A method to optimize parameters of software and hardware for dump truck remote monitoring systems using QR code recognition

This paper proposes a monitoring system based on the QR code technology, which includes a control module, QR code generation module, recognition module, data transmission and processing module, and a central monitoring platform. An optimization experimental study based on the response surface method was conducted in order to improve the QR code identification reliability while the vehicle is travelling, and investigate the relationship between several influencing factors and the QR code identification reliability. The results show that the influence rate of various factors on reliability of QR code recognition is characterized with the following pattern: travelling speed > reading distance > QR code size > encoded characters. Under the optimal experimental conditions, i.e. the reading distance of 141.45 mm, the QR code size of 34.58 mm, 100 bytes of encoded characters and travelling speed of 2,98 m/min, the average QR code readability value was 95%. The results show hat optimizing parameters of the influencing factors can effectively improve the QR code recognition rate, thereby improving the functional efficiency of the monitoring system.