Application of Multi-Sensor Information Fusion in Intelligent Equipment Control
多传感器信息融合在智能装备控制中的应用

摘要

智能装备在动态环境中运行，需要连续获取自身状态、作业对象与周边空间信息。单一传感器容易受 到量程、噪声、遮挡及环境变化影响。多传感器信息融合通过时间同步、空间配准、状态估计和决策综合， 提高感知完整性与控制稳定性。文章分析数据层、特征层和决策层融合方法，讨论其在移动装备定位、路径 控制、目标识别和协同作业中的应用，并提出分层处理、可信度评价、故障隔离及全周期验证路径，为智能 装备融合控制系统设计提供参考。

Abstract

Intelligent equipment operating in dynamic environments needs to continuously acquire information about its own state, operation objects, and surrounding space. A single sensor is easily affected by range limits, noise, occlusion, and environmental changes. Multi-sensor information fusion improves perception completeness and control stability through time synchronization, spatial registration, state estimation, and integrated decision-making. This paper analyzes data-level, feature-level, and decision-level fusion methods, discusses their applications in mobile equipment positioning, path control, target recognition, and collaborative operations, and proposes paths involving hierarchical processing, credibility evaluation, fault isolation, and full-cycle verification, providing reference for the design of fusion control systems for intelligent equipment.