Mining is often characterized by harsh surroundings and difficult operating conditions. Such conditions require a focus on safety and health as well as continuous monitoring of environmental issues. versiondog and AutoSave are part of a best practice change management and audit infrastructure required to maintain a high standard of safety in mining operations.
Nearly all of the underground and above ground operations of a mine are controlled by a vast array of PLC and SCADA systems and even some DCS systems. Such operations often call for regular program code changes to be made due to changing production issues. versiondog ensures proper rollback/recovery data exists by tracking changes in these PLC and SCADA programs while providing notification of changes.
Automated backups of project versions and fast disaster recovery
Support in the implementation of legal standards and documentation for audits
Increasing security and reducing system failures
A firefighting mentality is one where organizations are frantically rushing to solve unexpected problems, making impulsive decisions, and applying short term “band-aid” solutions to restore production as quickly as possible. Production plants are particularly susceptible to this mentality. Why? Plants are up against a wide variety of risks to productivity and product quality. Human error, equipment failure, cyber attack, and natural disaster all have the potential to cause significant downtime. When every minute of downtime can cost thousands, it is critical to resume production as quickly as possible.
Nevertheless, very few production plants are adequately prepared for worst-case scenarios or even everyday issues. A proactive approach to data management for automation could save time, money, and effort.
This white paper will discuss how better data management can transform your industrial automation for increased productivity with fewer problems. First, it will explore the causes and concerns of a reactive “firefighting” approach to maintenance in automation. Then, it will propose data management tools and best practices to help break these habits.