Solution Description
The safety of AGV unmanned forklifts is not only reflected in maintaining the safety of forklifts, but also in protecting the goods intact. At present, unmanned forklifts mainly operate in indoor storage facilities, where the passages are relatively narrow and are prone to collisions with other facilities or goods. At the same time, collisions or instability of forklifts during driving may damage the goods. Therefore, the use of CYNDAR safety laser scanning system can effectively prevent forklifts from colliding with personnel, and the safety detection range can reach 20 meters.
The CYNDAR safety laser scanning system significantly improves the safety of AGV unmanned forklifts through multi-level protection design. Its core advantages are reflected in three aspects:
Ultra-wide detection capability
Equipped with high-precision laser radar, the safety detection range covers 20 meters. With a 180° horizontal scanning angle, it can identify dynamic obstacles (such as personnel, other equipment) and static facilities (shelves, columns) in the passage in real time, and combine the graded warning mechanism to implement active obstacle avoidance strategies such as deceleration and parking to effectively avoid collisions.
Adaptability to complex environments
The system uses an anti-interference algorithm, which can operate stably in indoor storage scenarios such as dust and lighting changes, accurately distinguish cargo contours and obstacles, reduce false triggering rate, and ensure cargo transportation stability.
Deep system integration: seamlessly connect with the AGV navigation control system, support dynamic path optimization and emergency braking, and be compatible with warehouse management system (WMS) data to ensure that the cargo handling trajectory is accurately matched with the storage layout, reducing the risk of cargo overturning due to emergency stops or path deviations.
The solution takes into account the safety of people, vehicles, and goods through the dual mechanisms of active protection and intelligent decision-making, and becomes the key technical support for the safe operation of AGV in narrow channel storage scenarios.
