ALVA Rainbow
Next-generation enterprise real-time remote guidance platform based on AR technology
As an important part of the national economic system, the Chinese tobacco industry finds itself amidst the wave of digital development. The production and manufacturing processes of tobacco industry equipment have become more complex, and standards have become more stringent.
Efficient and scientific management of equipment to reduce costs and improve product quality is one of the crucial concerns for the industry's development.
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Equipment Maintenance Upgrade:
AR Paperless Work Orders in Multi-user Collaborative Scenarios
*相关场景案例,仅供参考
Equipment Maintenance Upgrade:
Agile Resource Retrieval Based on AR Technology
As a crucial aspect of equipment management, the ability to swiftly complete maintenance work is a significant factor in determining whether the entire production line operates smoothly. Tobacco machinery has become more sophisticated and automated, requiring increasingly higher skill levels from professional maintenance personnel. The introduction of AR technology effectively addresses the issue of insufficient personnel experience.
When equipment malfunctions occur, maintenance personnel can quickly pinpoint the fault location by overlaying alarm information on the actual equipment. They can then retrieve corresponding troubleshooting solutions for resolution.
Meanwhile, for the replaced "assembly," maintenance personnel rely on well-organized and visual 3D virtual "assembly maintenance" guidance to quickly repair damaged components, reducing the consumption of spare parts resources and effectively saving the waste of enterprise costs.
当需要远程专家协助时,维修人员基于融合高清音视频的 AR 通讯平台,依托 AR 空间标注和 AR 识别等技术,就能实现与专家高效沟通解决现场问题,减少了停机带来的损失。
Not limited to this, AR technology has extended to various scenarios in the daily operations training and visual management of the tobacco industry.
Currently, ALVA Systems has actively collaborated with numerous tobacco industry enterprises, exploring scenarios where AR can be implemented to further enhance production efficiency and product quality for tobacco companies. This effort contributes to the construction of modern factories with digitization, intelligence, and lean practices.