This blog post succinctly talks about the highlights of Waylay Digital Twin R1.2 that was released at the end of April 2021. 

In case you are looking for an introduction to Waylay Digital Twin and its architecture, you may want to read the following blog posts first:

Waylay Digital Twin for Salesforce

Find out more about Waylay Digital Twin and visit our home page, book your demo or watch our 3-minute product video.


Call center agents and field service technicians benefit from deep asset visibility

The new Waylay Digital Twin release supports the visualization of historical sensor data within the Salesforce console.

Call center agents and field service technicians can easily access and view historical data, assess trends and better diagnose asset performance issues. They can navigate through 3 months of historical data with various options for aggregation and time scale.




Typical use cases include:

  • Install visual verification of parameter value trends by the remote maintenance engineer
  • Expedite troubleshooting for remote operations and field service through visibility on current and historical asset conditions
  • Expose key asset performance metrics and trends to end-customer through community portal


The charts are implemented as LWC components which means that they can be integrated into existing service consoles. Customers do not need to worry about Salesforce data storage volume and scalability as the sensor data is not persistently stored within Salesforce but dynamically fetched from the off-core Waylay platform when the asset page is loaded.


Leveraging the business context when assigning rules to assets

Through Waylay Digital Twin, asset managers can instantiate monitoring rules in bulk. With this new release, we have added additional filtering capabilities.

More specifically, when assigning rule templates, asset managers can assign assets based on:

  • Customer account
  • Maintenance plan
  • Location

Customer account is an obvious selection criterion: you want to assign monitoring rules to all assets belonging to a specific customer. You can however be more specific by selecting a maintenance plan as well. This is useful when different SLA conditions and KPI metrics, and hence different monitoring rules, apply in case of different maintenance plans.

Similarly, you can select assets installed at a particular customer location when applying the rules to assets.


Typical use cases include:

  • Select only those assets that have service contract with a GOLD maintenance plan are eligible for preventive maintenance rules
  • Test new rule use cases for assets that are located in the Austin Lab
  • Activate monitoring for a newly provisioned site or for a new customer support contract

Leveraging this contextual business information is a distinct advantage when defining the monitoring in the Salesforce platform compared to the case where these rules are defined in the IoT platform itself.



Filtering, prioritization and contextualization of low level machine error codes

In the previous release, we already supported threshold crossing use cases with numerical values. This use case has been extended with string matching capabilities. 

This new feature can be leveraged to filter, prioritize and contextualize low level machine error codes that are sent as events as part of the IoT data stream. As for all use cases, this requires no coding and can be accomplished via completing the configuration parameters in a form.




Typical use cases include:

  • Preventive maintenance alarm rules for specific IoT device software versions or device models
  • Technician notification rules for specific IoT device error codes


Detecting when parameters go outside a specific range

In some use cases, parameters can vary around a predefined mean value as long as the deviation from the mean remains within certain boundaries. The more the parameter deviates from the mean, the worse.

The out-of-range template supports these use cases by defining alarms that have a higher severity as the deviation from the mean gets larger.


Use cases include:

  • Monitor control process stability E.g. HVAC has to maintain a stable temperature
  • Environmental compliance checks E.g. is asset being used in optimal operating conditions in line with support contract


Conclusion

The new version 1.2 of Waylay Digital Twin provides deep asset visibility for asset managers, call center agents and field service technicians to support and improve their intervention and maintenance programs. It provides the rules management power tools to optimize asset and equipment uptime and enhance SLA compliance.



This 3-minute demo video the Waylay Digital Twin app version 1.2 in action