Research on the human injury risk assessment and prediction of operations on large equipment with confined space
研究了大型设备受限空间作业中的人体伤害风险，将操作姿势分为9类进行定量评估，并提出了基于姿势、负荷和身高的伤害风险预测模型，有助于优化风险防控策略。
Industry 5.0 emphasises more human-oriented manufacturing approaches, creating an environment that prioritises human well-being. Operators often need to enter confined spaces and operate in uncomfortable postures in some industries, such as mining, construction, and shipbuilding, for assembly/maintenance processes. So far, there has been relatively little research on the human injury risks of operations in large equipment with confined spaces. In this study, the characteristics of the operating environment in confined spaces are analysed, and the operation postures in confined spaces are divided into 9 classes to assess injury risk. Quantitative and comprehensive evaluation methods are proposed for human joint injury risk in large equipment confined space operations. Furthermore, based on the operation posture data in the large equipment confined space, human operation injury risk prediction model in confined space (HOIRPiCS) is proposed. The model takes the operation posture class, operation load, and human height as input and predicts the comprehensive operation injury risk class. Combined with the prediction results of HOIRPiCS, the risk prevention and control strategies can be optimised from multiple perspectives, such as prevention, learning, resilience, collaboration, self-organisation and optimisation.