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Hydraulics|Mining|Safety|Service|System|Technology|Equipment|Maintenance|Products|Infrastructure|Operations
Hydraulics|Mining|Safety|Service|System|Technology|Equipment|Maintenance|Products|Infrastructure|Operations
hydraulics|mining|safety|service|system|technology|equipment|maintenance|products|infrastructure|operations

Digital dashboards help to minimise risk of hoist failure

ABB Ability Performance Optimization for hoists aims to  provide agile and secure remote support worldwide

ABB Ability Performance Optimization for hoists aims to provide agile and secure remote support worldwide

15th April 2021

     

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A new digital service designed to improve uptime, availability, performance and productivity of mine hoists has recently been launched.

Global technology company ABB introduced a new version of its Ability Performance Optimization for hoists, hosted on the company’s Ability Edgenius Dashboard application, aimed at enabling quick analysis and insights into plant operations by providing actionable information on key performance indicators (KPIs).

The dashboards have been created to show crucial information from the hoists with KPIs organised into categories of performance, supervision and safety. The solution platform is said to be more flexible and scalable and fulfils the highest levels of cybersecurity. 

ABB explains that predictive analysis of a mine hoist’s condition prevents unexpected, time-consuming and costly shutdowns of operations. The service enables mining customers to work towards condition-based monitoring. Data is automatically collected, segregated and managed, then securely monitored and analysed to generate actionable insights that can increase production performance, identify safety hazards, and provide optimized maintenance scheduling.

The Performance Optimization service connects the customers' mine hoists enterprise-wide with experts located remotely in ABB’s Collaborative Operations Centres, or on site. Mine hoists are monitored 24/7 to identify potential problems and initiate appropriate and timely actions, with the aim to improve the availability of equipment and the overall safety of mining operations.

The new ABB Ability Edgenius Dashboard cloud-based solution forms part of a digitalised method to work with reports and increase transparency. The dashboards are available and secured within the ABB Ability cloud. Customers can follow ABB actions remotely as they happen, improving collaboration and learning.  This helps to reduce the need for in-person maintenance visits and travel, saving time and lowering the carbon footprint. 

“What we have done is create a cyber-secure bridge between the information technology  and operational technology elements of our mine hoist customers’ businesses,” said ABB global service manager hoisting Bengt Hedlund. “This is how we are progressing across our customer base and it is creating more connected infrastructure, more collaborative relationships and greater transparency in terms of real-time data reporting and actions.”

ABB’s solution for hoists aims to improve accessibility, performance and productivity for mine hoists by collecting and analysing data from various operating points, and KPIs such as the mine hoist’s cycle time, filling and dumping time, as well as safety brake system and supervision of the hoist protections. The results can also be used as a basis for optimising the hoist’s availability, which provides the opportunity to increase production.

The company also recently launched its Ability Safety Plus for hoists, a suite of mine hoist safety products that it says brings the highest level of personnel and equipment safety available to the mining industry. The products include:

  • Safety Plus Hoist Monitor
  • Safety Plus Hoist Protector
  • Safety Plus Brake System, including Safety Brake Hydraulics

This suite can be used to transfer performance data and test results to ABB Ability Performance Optimization for hoists for further analysis. The field data, such as speed, position, brake pressure, temperature, time and actuator position, is sensed and analysed to allow site engineers to identify any discrepancies or plausibility and take remedial actions.

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