Honeywell > Case Studies > Radical Alarm Reduction

Radical Alarm Reduction

Honeywell Logo
 Radical Alarm Reduction - IoT ONE Case Study
Technology Category
  • Sensors - Flow Meters
Applicable Industries
  • Mining
Applicable Functions
  • Field Services
Use Cases
  • Object Detection
  • Public Warning & Emergency Response
The Challenge

While an alarm is intended to provide control room operators with pre-warning of an abnormal situation, many new industrial sites face challenges with an “overactive” performance of their alarm system. Upon completion of commissioning of the Fort Hills site in 2018, Suncor’s control room operators faced average alarm loads 30 times higher than those recommended by alarm management standards and best practices. 

These alarm loads, combined with frequent alarm floods caused by plant upsets, resulted in significant operator overload that increased the risk of safety, environmental and production-related incidents at the site.

The Customer
About The Customer

Suncor is one of Canada’s largest integrated energy companies, specializing in the extraction of oil sand and its subsequent upgrading and refining into high-quality oil products. Headquartered in Calgary, Alberta, Suncor markets finished products to industrial and commercial customers, along with retail customers through their network of more than 1,500 Petro-Canada gas stations. Suncor’s Fort Hills mine is an open-pit truck and shovel mine that was commissioned in 2018 and capable of extracting 154,000 tons of oil sands per hour, producing 194,000 barrels of bitumen per day.

The Solution

To achieve a step-change in alarm system performance, Suncor commenced an alarm system improvement initiative, electing to follow a process in-line with standards, specifically ANSI/ISA-18.2-2016, Management of Alarm Systems for the Process Industries. 

The first stage of this process was to develop an Alarm Philosophy that documented the intended approach to alarm management for the Fort Hills site so that subsequent stages of the alarm system improvement initiative were performed in a controlled and consistent manner.

Operational Impact
  • [Process Optimization - Predictive Maintenance]

    The tools helped to direct our team’s efforts to improve and sustain alarm system performance so that they were able to achieve the benefits of reduced safety, environmental and production related risks while also increasing uptime.”

Quantitative Benefit
  • Within a month, the average alarms per operator (per 10 minutes) reduced from 30 to 12 (60%).

  • This trend continued to only six  (an 80% reduction) in the following month. Over a period of two years, the team has successfully achieved and sustained a 95% reduction in alarm load that is in-line with ISA 18.2 standards.

Case Study missing?

Start adding your own!

Register with your work email and create a new case study profile for your business.

Add New Record

Related Case Studies.

Contact us

Let's talk!
* Required
* Required
* Required
* Invalid email address
By submitting this form, you agree that IoT ONE may contact you with insights and marketing messaging.
No thanks, I don't want to receive any marketing emails from IoT ONE.
Submit

Thank you for your message!
We will contact you soon.