Connected Field Services
McKinley faced several challenges to implement these product improvements: - Which device hardware is best? - How do they connect their products and put them online? - How will their products communicate? - Which sensor protocols work best? - How will they develop the proper visualizations? - How do we integrate it with their field service technology? - How do they set up rules and their associated actions?
ThingLogixThingLogix propels the modern business with the Internet of Things by combining insight-driven IoT services and the power of the cloud - creating new business value and accelerating time-to-market.
McKinley Elevator Corporation is a primary leader in the fast growing market of residential and commercial accessibility products. Since 1948, McKinley has provided exceptional service and has earned a reputation for providing the highest quality products and unsurpassed knowledge from its representatives.
- CONNECTIVITY PROTOCOLS
ThingLogix first helped McKinley identify the proper embedded hardware and radio frequency technology, used across both products. On-boarded their products onto the ThingWorx platform and integrated incoming data into their ServiceMax org. Setup priority based events and associated alerts and follow up actions. Worked with PTC to develop a ThingWorx dashboard for real-time monitoring.
- DATA COLLECTED
Asset Performance, Asset Status Tracking, Connectivity Status, Control System Alert, Service Lifecycle
- SOLUTION TYPE
- SOLUTION MATURITY
Emerging (technology has been on the market for > 2 years)
- OPERATIONAL IMPACT
Impact #1 [Efficiency Improvement - Labor Safety]
The solution enables monitor for safety and training issues.
Impact #2 [Efficiency Improvement - R&D]
Within 30 days, ThingLogix joined with ServiceMax and PTC to produce a proof-of-concept for the McKinley.
- QUANTITATIVE BENEFIT
- USE CASES
Machine Condition MonitoringMachine condition monitoring is the process of monitoring parameters such as vibration and temperature in order to identify changes that indicate a reduction in performance or impending fault. It is a necessary component of predictive maintenance solutions and allows maintenance to be scheduled prior to failure, or other actions to be taken to prevent damages to the machine and loss of production. Condition monitoring also provides value beyond improving maintenance schedules. For example, improved visibility into machine operations can indicate the root causes of product defects and can support optimization of energy consumption.