The robot implements the predictive maintenance step – KUKA

Speculative protection cannot be achieved overnight, but needs to be completed at multiple levels and gradually. The following are the three key steps to start implementing speculative protection in the production equipment, please consult the data application experts of Xiamen Wutong Bolian for specific plans and steps:

The robot implements the predictive maintenance step – KUKA

The robot implements the predictive maintenance step – KUKA

(1) Change the priority level of acquisition: If you want to do a good job, you must first sharpen your tools, and if you want to use big data and the Internet of Things to complete the guess protection, it is necessary to have equipment that can generate these operational data. Connected devices are becoming the paradigm, but in the acquisition process, it is necessary to shift the acquisition priority from traditional devices to connected machines that can use network communication. This transition may bring certain challenges to the arrangement, because traditional devices that do not have network capabilities mean that they have an advantage over connected and smart devices in terms of upfront costs. The use of data from connected devices can avoid the loss of a single fault event and the resulting production line downtime, and to a certain extent, it can compensate for the additional cost of acquiring network-capable equipment. Acquisition decisions need to be based on the cost of investment over the entire life cycle, not just the upfront investment.

(2) Enable data experts: Once the equipment is connected to the network and has the ability to measure and monitor the data, the production operations manager will be able to collaborate with the data experts to ensure that the equipment can collect and use the data in the best possible way. Data experts can improve data operations by evaluating live and even virtual scenarios. The data collected by the networked devices can be stored in the cloud and supervised virtually through a server-based model. When data is stored virtually, it can be accessed, dissected, and controlled with the help and guidance of data experts. This virtualization, as a service provided by data specialists, accelerates the end of guesswork protection in the factory.

(3) Push the right data to the right people: One of the critical aspects of using data-driven information to complete speculative protection is to push data within the entire arrangement structure, which can then exert maximum influence on the decision-making process. It is necessary to keep the data at a specific level of arrangement, but it is necessary to push it to the factory floor level for use by individual machine operators on the shop floor. As with the notification and data pushed by smartphones, it is necessary for the production operation manager to consider the clarity and ease of understanding of the data transmission when trying to ensure that the data is transmitted within the arrangement and pushed to the operators on the factory floor from various channels.

The robot implements the predictive maintenance step – KUKA

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