Visual processing method and system for digital factory

The invention provides a visual processing method and system for a digital factory, relates to the field of artificial intelligence, and aims to optimize and update an artificial intelligence model, extract and develop a text vector domain corresponding to a debugged text knowledge mining network, transfer the obtained text vector domain to a basic text knowledge mining network, and improve the visual processing efficiency of the digital factory. According to the method, the debugged first target text knowledge mining network is obtained, the network does not need to be optimized through independent text training data and corresponding annotation information, the network debugging speed is higher, follow-up efficient visual application of the digital factory visual interaction equipment is facilitated, and the user experience is improved. And the precision and timeliness of factory visual management are improved. 本申请提供的数字工厂的可视化处理方法及系统涉及人工智能领域，通过对人工智能模型进行优化更新，提取开辟已调试的文本知识挖掘网络对应的文本向量域，将得到的文本向量域转移至基础文本知识挖掘网络，获得调