本发明公开了一种基于多维数据分析的起重机智能监测及运维系统，涉及起重机监测技术领域，该系统通过传感器组成的实时环境监测模块、地面监测模块、支腿监测模块和起重机性能监测模块能够高频率、全方位地采集起重机关键参数和工作环境数据。通过三维起重机模型和综合性能系数Xnx的计算，结合环境、地面和支腿数据的综合分析，获得综合性能系数Xnx、实时环境系数HJx、地面平整系数PZx和支腿平衡系数ZTx等多维参数，为全面评估提供依据。第一评估结果、第二评估结果和第三评估结果分别对应第一预警指令、第二预警指令和第三预警指令，实现了对起重机性能、环境异常和稳定性的智能化预警和相对应运维决策。使运维工作更加主动、有针对性。

The invention discloses a crane intelligent monitoring and operation and maintenance system based on multi-dimensional data analysis, and relates to the technical field of crane monitoring. According to the system, key parameters and working environment data of the crane can be collected in a high-frequency and omnibearing manner through the real-time environment monitoring module, the ground monitoring module, the supporting leg monitoring module and the crane performance monitoring module which are composed of sensors. Through calculation of a three-dimensional crane model and a comprehensive performance coefficient Xnx and comprehensive analysis of environment, ground and landing leg data, multi-dimensional parameters such as the comprehensive performance coefficient Xnx, a real-time environment coefficient HJx, a ground flatness coefficient PZx and a landing leg balance coefficient ZTx are obtained, and a basis is provided for comprehensive evaluation. And the first evaluation result, the second evaluation result and the third evaluation result correspond to a first early warning instruction, a second early warning instruction and a third early warning instruction respectively, so that intelligent early warning and corresponding operation and maintenance decisions on the crane performance, environmental abnormality and stability are realized. And the operation and maintenance work is more active and targeted.