Events and Exhibitions

Each year we attend several conferences related to our markets. If you are attending, please stop by and say hello. We look forward to seeing you!

Society of Mining Engineers Annual Conference & Expo 
February 17-23, 2016 Denver, Colorado USA
Booth # 2244

Wednesday, Feb 22 at 9:05am

Mining & Exploration:  Technology: Generating  Value through Technology –  Justifying Technology  Investments in a Cyclical Industry

Benefits of Instrument Automation and  Integration in a Cyclical Mining Industry

W. Conrad and A. Neuwirt; Canary Systems, Inc., Tucson, AZ

No matter if the mining industry is in an economic upswing or downswing, mine monitoring programs must continue to ensure a safe working environment for employees and assist in preventing a geotechnical or environmental disaster. Many sites currently rely on the manual collection and entry of data for this type of risk management. While manual collection may initially seem more appealing due to lower upfront costs, an automated system allows for reduced long-term expenses and provides a higher risk reduction by allowing an output of more timely, actionable information through periods of both prosperity and recession. By integrating automatically collected data from multiple instrument types into a single system, mine sites can gain a real-time, comprehensive view of the geotechnical and environmental characteristics of their site. As the economic cycle in the mining industry continues to spin, automated monitoring systems allow sites to consistently ensure a high level of risk assessment to provide employee safety and assist in protecting company assets. This paper will explore how the automation of instrumentation affects mine sites throughout the highs and lows of the industry.

2017 USSD Annual Meeting and Conference
April 3-7, 2017 Anaheim, California USA
Booth #65

Tuesday, Apr 4 –  5:30 pm to 7:30 pm

Poster Session – Technical Program

Automated Data Acquisition System Basics for Dam Safety Instrumentation Monitoring

Peter Zimmerman, Paul Booth and Greg Dutson, Canary Systems, Inc.

Society of Mining Engineers Minnesota Regional Conference 
April 17-19, 2017 Duluth, Minnesota USA
Booth 158

2017 ASDSO Southeast Regional Conference
April 18-20, 2017 Nashville, Tennessee USA
Booth 308

68th Highway Geology Symposium
May 1 – 4, 2017 Marietta, Georgia USA

Instrumentation Data Acquisition, Monitoring, and Data Visualization Improvements at the Rocky Mountain Hydroelectric Plant

Peter Zimmerman, PE, PG, Principal Engineer, Canary Systems, Inc.; Daryl Jordan, Geotechnician/Geotechnical Specialist, Oglethorpe Power; Vann Newell, PE, Civil Engineer, Oglethorpe Power


Collection, organization, and presentation of instrumentation data can be a daunting task for infrastructure owners.  Historical data may be stored in multiple locations and formats, surveillance and monitoring programs may include numerous types of instruments with varying methods of data collection, instrumentation from different vendors may run on separate and often incompatible software, and instrumentation reporting is often time consuming.  Add in the challenges of limited manpower and remote sites, and running an effective instrumentation program can become overwhelming.  Oglethorpe Power Corporation (OPC) has implemented improvements to their Rocky Mountain Hydroelectric Plant dam monitoring program utilizing new technology in data acquisition, database management, and reporting. 

By 2012, OPC’s original Automated Data Acquisition System (ADAS) was unreliable and in need of replacement.  The combination of automated instruments, manually read instruments, and survey complicated data acquisition, data organization, and data display.  OPC recognized that their staffing level demanded a more efficient and effective method for reporting.  Additionally, they needed a method to immediately identify and review data that exceeded alarm levels. 

OPC’s improved surveillance monitoring plan includes a combination of automated and manually read instruments that are synchronized into a single data management database platform.  A mobile application for recording manually-read instruments automates data synchronization.  Integrated data management software allows OPC to quickly access and compare charts and reports on the same graphical view, set alarm notifications, and use templates to easily generate quarterly and yearly instrumentation reports.  The technology used by OPC can be scaled to meet the individual project’s needs.

Dam Safety 2017
September 10-14, 2016, San Antonio, Texas

GeoOttawa 2017
October 1 – 4, 2017 Ottawa, Ontario, Canada
Booth #328

Canadian Dam Association Annual Conference
October 14-20, 2017 Kelowna, British Columbia CANADA

Capabilities of effectively managing geotechnical risks through an integrated monitoring solution

Will Conrad, Mine Group Manager Canary Systems; Alex Neuwirt, President, Canary Systems


Large quantities of data from diverse sources are pouring into management offices by the hour, minute, and second at underground mines across the world. Sites must be able to effectively use the information to comprehend mining conditions and manage risk to secure the safety of man, machine, and property. Modern integrated geotechnical monitoring software systems, unlike the traditional approach of generic spreadsheets and software developed by original equipment manufacturers, allow mine personnel to incorporate assorted instrumentation and monitoring applications in the review of data to identify underlying behavior typically overlooked or unknown. Automated and manually retrieved data may be combined into one platform. These systems also incorporate data reduction, verification, notification, and visual tools to provide efficient data analysis and optimize an end user’s time to allow focus towards other growing responsibilities. This paper explores the current capabilities of integrated monitoring software in an underground mining application, outlining how these systems provide an end user the ability to efficiently and effectively manage geotechnical risk.