A Remote Monitoring and Analytics Platform for Manufacturing Engineers

传统的工厂管理和过程控制系统集成在现场，需要直接在工厂车间的工程师进行监控、管理和干预。然而，随着最近新冠肺炎爆发造成的封锁，许多制造商被迫要么因实施社交疏远倡议而减少产能，要么无限期停产。这类制造公司可能已被指定为“非必要业务”，但它们生产的产品，如硬盘驱动器、机器部件和医疗部件，往往对促进在家工作、获取创新和维护社会和谐至关重要。对于制造企业来说，这可能会导致企业倒闭和裁员。由于制造公司经常从周围地理区域招聘各种角色的员工，这可能会导致社区的衰落和恶化，这些社区已经由于封锁施加的限制而苦苦挣扎。随着先进的数据分析成为整个制造业的关键使能技术，现在自动化大规模过程系统有可能最大限度地利用它们收集的大量数据，进而让用户远程管理支撑制造过程的分析。高级分析实验室(AAL)正在为制造业开发基于云的远程监控和分析平台。该平台将使生产工程师和经理能够远程查看工厂状态，与AAL的先进机器学习模型互动，并与现场员工进行沟通，以实现生产过程中的变化。这将代表着工厂车间如何以远程方式管理的一步改变，无论是对于这场流行病还是未来潜在的流行病，或者即使远程工作寻求成为常态。使用该工具，工程师和工艺经理将能够远程查看他们的生产计划和当前单元在制造过程中的状态。此外，先进的分析模型使用新颖的多元分析提供对最终产品质量的预测，可用于对数字孪生兄弟进行建议/理论更改，以确定返工的最佳方式，使设备恢复到规格，这是促进公司循环经济的推动因素。应用程序的消息传递/工作空间组件可用于与现场的工厂车间骨干员工共享特定单元的最佳返工策略，从而进一步促进在高级分析时代向行业4.0的过渡。

Conventional factory management and process control systems are integrated on site, requiring monitoring, management and intervention from engineers directly on the factory floor. However, with the recent lockdown imposed by the COVID-19 outbreak, many manufacturers have been forced to either reduce production throughput due to implementation of social distancing initiatives, or else suspend production indefinitely. Such manufacturing companies may have been designated as a 'nonessential business', however often the products they manufacture, for example, hard-disk-drives, machine parts and medical components, are essential to facilitate working from home, derive innovation and maintain societal harmony. For manufacturing companies, the financial impact of this can lead to business closure and the redundancy of employees. Since manufacturing companies often recruit employees in a range of roles from the surrounding geographical area, this can lead to the decline and deterioration of communities which are already struggling due to the restrictions imposed by the lockdown.With advanced data analytics becoming a key enabling technology across the manufacturing sector, there is now the potential for automated large-scale process systems to make the most of the large volumes of data they collect, and furthermore for users to remotely manage the analytics underpinning the manufacturing process. Advanced Analytics Labs (AAL) are developing a cloudbased Remote Monitoring and Analytics Platform for the manufacturing sector. The platform will enable production engineers and managers to remotely view factory state, interact with AAL's advanced machine learning models and communicate with on-site staff to effect changes in the production process. This would represent a step-change for how the factory floor can be managed in a remote fashion, for both this and potential future pandemics, or even if remote working is sought to become the norm. Using the tool, engineers and process managers will be able to view the status of their production schedule and current units passing along the manufacturing process, remotely. Additionally, the advanced analytics models which provide predictions on final product quality using novel multivariate analytics can be used to make suggested/theoretical changes to a digital twin, in order to determine the optimal way of making reworks to bring units back to specification, an enabler for facilitating a circular economy for companies. The messaging/workspace component of the application may be used to share the optimal rework strategy for specific units with the skeleton factory floor staff on site, thereby further facilitating transition to Industry 4.0 in the era of advanced analytics.