CANADIAN TECHNOLOGY
RI IEGL LASER
-i iS AN VZ
SERIES SC
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FOR MINING
The artificial intelligence-powered Actenum DSO / Mine scheduling and optimisation software offers powerful decision optimisation support technology and advanced analytics for improved mine planning and operational efficiency that helps mining companies achieve their business goals , Actenum says
company time and increase operational efficiency , according to Actenum , with the worker in question able to quickly build and manage an optimised operational schedule that addresses multiple aspects of mining operations .
“ The optimised schedule enables operators to quickly and easily identify the number of workers needed at the mine and what level of productivity can be achieved with fewer workers ,” Actenum says .
Actenum DSO ’ s scenario capability can also allow mining companies to create and evaluate multiple ‘ what if ?’ schedule alternatives to deduce the impact of scheduling decisions on costs , production , equipment use and financial goals .
Users can also monitor and control key performance indicators as the schedule is changed , obtaining instant insight into how well the company is maximising asset return on investment and reducing risk , and achieve predictable and reliable results , Actenum said .
“ Available as a cloud-based or on-premise software solution , DSO / Mine will help mine operators reduce non-productive time , allocate appropriate resources and understand the impact of unexpected changes in the schedule , enabling management to make key decisions with confidence ,” the company concluded .
Canary automates data acquisition
Canary Systems works directly with customers to integrate systems and extract valuable data from a plethora of monitoring instruments across mine sites , helping operators understand and manage risks in the process . Its remit covers instrumentation , system architecture , hardware and software , and its own web-based data suite MLWeb .
The company implemented an automated remote monitoring solution at a large producing gold mine in the Dominican Republic last year , replacing a manual data collection system that was made up of Excel spreadsheets to process data and create graphs and reports .
The mine , the fifth largest gold-producing operation in the world , includes two open pits , a processing plant and a tailings storage facility .
Canary proposed a solution to automatically collect and manage instrument data with the installation of more than 80 MLRemote ® monitoring stations and 2 MLBase™ centralised collection points in the first and second installation phases .
Field technicians installed the MLRemotes to assist in the data collection of over 200 instruments and , despite dense vegetation and terrain ,
connection was achieved to the MLBases with the use of a 900 Mhz pointto-multipoint network .
MLWebHardware , the web-based system configuration and management
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