Regional Municipality of Halton: Electronic Logbooks – Improving Decision Making

The Regional Municipality of Halton has been using e.RIS for a number of years to assist with compliance reporting, data entry and process reporting. By using e.RIS Halton has moved to an almost paperless organization in these areas. One key area remains – operational logbooks. Working with the e.RIS team and in consultation with other municipalities, Halton lead the design effort of a new electronic logbook in e.RIS that would not only meet their requirements of the paper logbook, but exceed them.

By using e.RIS, Halton is able to create highly accessible and searchable electronic logbooks that improve the quality of the entries made by the operations team. To provide greater context, logbook entries can be enhanced with attachments such as photos, videos and audio files. By using electronic logbooks, Halton turned a simple historical compliance tool into an operational decision-making tool available at their fingertips.

Using e.RIS electronic logbooks allows Halton to use this information alongside various other data sets that e.RIS accesses; including data that is manually entered, captured in their laboratory information management system (LIMS), SCADA historians, or from other external sources such as energy and environmental systems. All of this information is then easily managed, analyzed and visualized using e.RIS.

CEO Award Winner : Industry, Energy + Resources

The London Health Sciences Centre (LHSC) is responsible for operating and maintaining the power plant and energy systems at three hospitals and four medical centres in the London, Ontario area.

LHSC chose e.RIS to assist them in getting on track with their energy management.  Being able to pull together data from a number of sources, both internal to LHSC and externally from their vendors, allowed them to easily manage, analyze and then visualize the data as actionable information, allowing them to identify opportunities to reduce their operational costs.

For more information you can access the article from Accolades Volume 13, 2018 here.

City of Red Deer : Data Driven Decision Making

The City of Red Deer water treatment plant operations team has used e.RIS as their process reporting and data visualization tool for a number of years. Recently, they expanded their use of e.RIS to include several additional features. The plant laboratory team was storing and analyzing results observed in the laboratory using pen and paper. Now they use e.RIS manual data entry forms and calculations to record and store laboratory results. With this shift in the data collection and storage of laboratory data, plant maintenance staff are now able to utilize the laboratory results in new and innovative ways. The maintenance staff are able to create reports that compare SCADA historian data with laboratory results and flag any differences between the two readings. When differences reach predefined thresholds, maintenance staff know that plant analyzers need to be calibrated.

By using e.RIS, the City of Red Deer maintenance staff were able to shift their calibration schedule from a simple time-based method to a data driven calibration schedule. This change resulted in costs savings by reducing unneeded calibrations, made identification of less reliable analyzers easier, and moved the organization more towards knowledge-based, data driven decision making.

The water quality data collected by the laboratory was originally only going to be used for operational compliance but because the data was so easily accessible in e.RIS, the maintenance staff was able to find additional benefits by visualizing both laboratory and SCADA data in a single location. Through e.RIS, the City of Red Deer’s water treatment plant maintenance staff continue to meet the strict quality of service requirements demanded of them while continuously improving their operations through the availability of more accessible data.

City of Saginaw: Creating a Link from Assets to Capital Plans

Implementing a single Enterprise Asset Management system can be difficult. Often groups in the organization have legitimate reasons to keep their own systems, and finding a solution that meets everyone’s requirements equally well is nearly impossible. The City of Saginaw recognized this reality, yet this did not remove the state’s permit mandate to implement an asset management plan.

Instead of trying to implement a single asset management system, the City decided to do more with their existing systems and leave the enterprise integration of asset data to e.RIS. Working collaboratively, the City and Eramosa are developing a robust Asset Management Tool in e.RIS that provides a single access point to asset data stored in several assets systems and their geographic information system (GIS). The data from the source systems is then enhanced using calculations and analysis tools in e.RIS. The most appropriate assets can then be selected for repair or replacement using City developed algorithms coded into e.RIS and grouped into projects and capital plans for action and approval.

The result will be a single source of valuable asset information leveraged from existing sources and enhanced through powerful tools in e.RIS.

London Health Sciences Centre : Energy Management

London Health Sciences Centre (LHSC) updated their manual data collection, paper documents and reporting processes through the implementation of e.RIS as the data management and visualization solution for their power plant and energy systems. Through the utilization of e.RIS, LHSC has restored data integrity, through the elimination of previous manual, error prone tasks and the integration of multiple previously disparate data sources.

By using e.RIS as the data management tool in place of the manual method of collecting and reviewing data, LHSC reduced the time previously required for collecting, collating and reviewing the power plant and energy data by 20% – 30%, resulting in an approximate cost savings of $40,000 per year.

LHSC has met their primary goal of re-establishing data integrity, as well as their secondary goal of automating manual data processing and using a single solution to visualize data from numerous disparate systems, all resulting in significant financial savings. LHSC now has an improved method of reporting to both internal and external stakeholders and are currently working on the next phase of the project – the development of e.RIS dashboards, calculations and turbine efficiencies for real-time use with power plant operational decisions. This will allow LHSC to be able to make better operational decisions on when and how to run equipment in relation to the current market price of gas and electricity.

One Machine : Predictive Analytics

When the ball bearings in your machinery have clearance of 4/1000” how would you know if they are starting to fail? What if you could detect a change of 1/1000”? That is what One Machine from Terepac does – it measures the condition of equipment and pushes data to the cloud from instruments throughout a manufacturing facility.

If you can predict when failures will occur you can avoid costly equipment breakdowns which can halt production and lead to missed delivery dates of critical components.

e.RIS connects to data in the cloud and provides data analytics and visualization to help identify potential equipment failures. Being able to predict a failure and take corrective action before a failure occurs can significantly increase equipment and plant uptime.

Using the power of smart instrumentation, IoT applications, cloud hosting and e.RIS to turn your data into actionable information is a powerful combination for any facility that requires the equipment to be in constant operation.

City of Grandville: Simplifying Data Collection

The City’s Clean Water Plant had out outgrown their regulatory reporting tool built on Excel. The complex, interconnected spreadsheets were unstable and the reporting team was concerned that one day they might not be able to produce the plant’s Discharge Monitoring Report (DMR) by the state’s mandated deadline.

The plant’s management also wanted to reduce the laboratory and operations staff’s reliance on paper forms while giving their team a tool that could also store the collected data in a secure database. e.RIS was implemented as this solution.

Using e.RIS, the plant’s laboratory staff now use tablets to enter data into e.RIS forms constructed to match paper bench sheets. Operators use tablets to collect data while working throughout the plant, eliminating many data entry issues due to transcription errors or illegible handwriting. Forms are optimized to match physical rounds, and color coded to make data entry easy for operators. Integrated calculations give users immediate feedback needed to optimize plant operations.

e.RIS has significantly reduced the time needed to collect and manage the data needed for regulatory reporting allowing both operators and management additional time for other important activities. Management also has a stable and robust data platform that is now being used to deliver even more insight into the plant’s performance. e.RIS expanded access to the vast amount of data being collected at the plant beyond its use for simply regulatory reporting.

City of Barrie : Digitizing Data Forensics

The City updated their manual processes and paper documents through the implementation of a new SCADA system, historical data collection and e.RIS as the data management solution.

Significant time savings were realized in preparing regulatory reports, and during regulatory inspections, after installation of e.RIS. Data anomalies are now detected in a timely manner, thus saving time required to backfill data several months after an event.

By using e.RIS as the data management tool in place of the manual method of collecting and reviewing data, the City saved 60-70% of the time previously used during regulatory inspections.

The City now has a much greater understanding of the data, where it comes from and why it matters. The implementation of e.RIS has also resulted in a higher level of engagement by the entire team, better data analysis, visualization and reporting, providing the team with greater insight into their overall operation.