Forklift near miss detection refers to the real-time identification of potential collision risks, unsafe operation behaviors and unplanned contact hazards that do not cause actual personal injury or property loss during forklift operation, which is a core link to build a proactive warehouse safety protection system. Unlike post-accident traceability management, near miss detection focuses on early intervention before risks turn into actual losses, and its configuration and operation effect directly affect the overall safety level of the whole logistics and storage scene.

The first core essential of effective near miss detection is full-scene sensing coverage. A qualified detection system should not only focus on the sensing range around the forklift body, but also cover high-risk areas including pedestrian access routes, high stacking material zones, narrow operation channels and blind corners at warehouse intersections. It needs to recognize both static obstacles such as unplanned stacked goods and dynamic moving targets such as passing pedestrians and other operating equipment, to avoid missing potential hidden risks due to partial sensing blind zones.

The second core essential is reasonable multi-dimensional judgment logic. The system should not trigger alarms only by a single distance threshold, but conduct comprehensive analysis combined with multiple data including the current driving speed of the forklift, real-time load state, and movement trajectory of surrounding targets. This operation mode can effectively reduce invalid false alarms, and will not interfere with the normal operation rhythm of on-site workers while identifying real risks.

The third core essential is complete closed-loop post-alarm processing mechanism. After the near miss detection system triggers the risk warning, it should not only send audible and visual prompts to the forklift driver, but also automatically store the event data including the location, time and related operation status, to facilitate the subsequent safety management personnel to carry out hidden danger review. Enterprises can sort out high-frequency risk points through long-term accumulated data, and make targeted optimization on scene layout and operation specification, so as to reduce the repeated occurrence of similar risks from the source.

As a professional service provider focused on new energy electric forklifts, Jianshu New Energy has rich practical experience in matching near miss detection functions for electric forklift products, helping different types of warehousing, manufacturing and logistics enterprises to steadily improve operation safety performance. Reasonable deployment of near miss detection can effectively reduce most potential safety hazards related to forklift operation, and create a more stable and orderly working environment for frontline operators. If you have related demands for electric forklift safety configuration and operation optimization, you can contact us via [email protected] for further professional consultation.