The invention discloses an elevator operation and maintenance management system based on an artificial intelligence technology, which comprises an operation and maintenance management system module, an operation and maintenance data acquisition module, a data storage module, a feature extraction module, a deep learning processing module and a fault operation and maintenance module, establishing a self-supervised learning model based on an LSTM model long short-term memory artificial neural network and a Transform codec, training and learning the data of the feature extraction module, and continuously iteratively optimizing the self-supervised learning model to obtain a fault classification matrix; the fault operation and maintenance module is used for implementing corresponding elevator operation and maintenance measures according to the fault classification matrix; according to the method, the self-supervised learning model is established by adopting the LSTM model long short-term memory artificial neural network and the Transform codec, the real-time data of elevator operation is trained and predicted, the real-time fault prediction classification matrix is generated, and the effects of pre-judging the occurrence of the fault in advance and providing detailed information support when the fault occurs are achieved.
本发明公开了一种基于人工智能技术的电梯运维管理系统,包括运维管理系统模块、运维数据采集模块、数据存储模块、特征提取模块、深度学习处理模块和故障运维模块,其中:所述深度学习处理模块,基于LSTM模型长短期记忆人工神经网络和Transformer编解码器建立自监督学习模型,对所述特征提取模块的数据进行训练与学习,不断的迭代优化自监督学习模型,进而得出故障分类矩阵;所述故障运维模块,根据所述故障分类矩阵实施对应的电梯运维措施;本发明通过采用LSTM模型长短期记忆人工神经网络和Transformer编解码器建立自监督学习模型,对电梯运行的实时数据进行训练及预测,生成实时的故障预测分类矩阵,实现提前预判故障的发生、故障发生时候提供详细的信息支撑的效果。
Elevator operation and maintenance management system based on artificial intelligence technology
一种基于人工智能技术的电梯运维管理系统
2024-06-21
Patent
Electronic Resource
Chinese
IPC: | B66B Aufzüge , ELEVATORS |
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