Research on Data Anti-collision Mechanism for Solving LoRa Channel Resource Conflict Problem in Loom Data Monitoring System

Aiming at the problems of complex networking, high power consumption, and short communication distance of the communication technology used in the existing multi-loom data monitoring system, this paper adopts a LoRa technology with the advantages of strong anti-jamming ability, low operating power consumption, and long communication distance, and proposes a multi-loom data monitoring system program based on LoRa technology. Due to the large number of looms in the industrial field, multiple LoRa terminal nodes need to report data to the LoRa gateway nodes at the same time, the transmission frequency is relatively high and the channel load is heavy, and there is the problem of low channel utilization under the traditional data anti-collision algorithm. Aiming at the above problems, this paper proposes a communication mechanism based on the combination of binary tree conflict decomposition algorithm and TDMA, which can ensure that the communication of static time-slot type terminal nodes is free of data collision and reduce the node’s power consumption, and at the same time, it can ensure that the terminal nodes that do not receive the receive answer frame can use the competition to report the data again within the dynamic time-slot assigned, so that the packets involved in the collision can be successfully transmission. In this paper, the remote monitoring system is designed in terms of both hardware and software systems. In order to prove the feasibility of the solution, practical tests show that the terminal nodes and gateway nodes can realize 100% no packet loss within 400 m in the loom industrial field environment, and the designed terminal nodes have low power consumption. It has some reference value in loom data monitoring.