人工智能自动搬运系统/物料自动上下料
Artificial intelligence automatic handling system/ automatic material loadin g and unloading

在自动化专机、生产线导入、提升效率、降低成本的基础上,借助信息化和物联网技术,在生产制造环节快速采集原材料、产品、工艺、设备、人员等生产有效信息,全面实现产品的可溯性和生产过程的可控性。同时通过大数据应用中的清洗,整合等手段,积累有效数据,建立自我学习模型,不断完善优化生产工艺,动态分析品质趋势,智能预测设备故障,为企业减少劳动力输出,及简化工作流程,最终实现柔性生产和智能制造的目标。

On the basis of automated special planes, production line introduction, efficiency improvement, and cost reduction, with the help of informatization and loT technology, we can quickly collect effective production information on raw materials products, processes, equipment, and personnel in the manufacturing process, so as to fully realize product traceability and controllability of the production process. At the same time ,through the cleaning and integration of big data applications, it can accumulate effective data, establish self-learning models, continuously improve and optimize production processes, dynamically analyze quality trends, intelligently predict equipment failures, reduce labor output for enterprises, and simplify work processes, finally realize the goal of flexible production and intelligent manufacturing.

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