Today, N.V. Elmar has significantly increased its ability to handle status updates from its smart meters with IBM Cloud Pak for Integration. Previously, smart meters were programmed to send messages one time per day, totaling 15 messages per minute for the entire system. Now, updates are sent every 15 minutes per meter, for a total of approximately 50 messages per second. Within the next three years, the company plans to fully deploy smart meters to all 50,000 of its customers—nearly tripling the current load.
“That is a lot of data we’re gathering with the IBM platform, and the application integration capability sits at the heart of all our processes,” says Ng. “We now are able to integrate any endpoint into the IBM Cloud Pak for Integration platform. We really trust its stability—its processing and expansion capabilities. It works very well for us.”
The company also continues to consult with IBM on an as-needed basis. “We purchased a few additional weeks of professional services just to help us speed up our implementations,” says Ng. “We’ve had great IBM colleagues assigned to our projects. And it’s worked out extremely well for us. Every quarter we are putting something new into production.”
Next up for N.V. Elmar is to use IBM Cloud Pak for Integration to integrate its 11,000 smart streetlights to understand usage and gain visibility for troubleshooting purposes if something goes wrong. It’s also planning to integrate its smart charging stations for electric vehicles.
And within the next year, the company will begin using the API management capability of the solution, the rollout of which was postponed due to COVID-19. “Hopefully in the future, we can move everything from the Elmar API for our smart meter program into the application integration and the API management components of IBM Cloud Pak for Integration. At least, that’s the roadmap that we’re looking into,” says Ng.
Farther down the road, the company is looking into incorporating AI into the solution through a chatbot. By connecting to the application integration layer, the chatbot could access information from company back-end systems related to such things as billing inquiries, service requests and status updates.
The company continues to enjoy the ability of the solution to drive innovation through self-service—and keep down costs in the process. “We really wanted to be able to implement it ourselves,” says Ng. “And the ability to rapidly innovate was key for us. From a cost perspective, it’s saved us from having to pay and train two additional developers.”