Client is an IT services company that is functioning from a large business complex. This client is operating with multiple departments, servers, and equipment throughout the day. Energy usage was immense, but the problem was that there was no structured system in place to monitor usage patterns.
Energy tracking was manually done. This manual tracking made it difficult to determine inefficiencies. The management wanted better visibility into consumer behavior and leakage points.
The organization faced several issues related to energy management.
Without accurate data, diminishing energy costs and improving efficiency was difficult.
The company aimed to:
The objective was to move from manual tracking to an intelligent monitoring system.
Acme One delivered a complete IoT based solution. This IoT based solution covers both hardware and software components.
Energy monitoring devices were connected directly to machines and electrical systems within the facility. These devices collected real time power usage data.
A software platform was developed to envision and analyze energy consumption across key areas. This allowed management to identify power heavy zones and track usage trends.
In addition to energy tracking, the system monitored machine activity and production performance. Unplanned downtime events were recorded and analyzed.
Data collected from devices was processed using machine learning algorithms deployed on Microsoft cloud Hadoop services. This enabled predictive insights and efficient computation at scale.
The elastic nature of the cloud infrastructure allowed the system to scale as data volume increased.
The solution was implemented using:
Testing ensured accurate data capture, secure transmission, and stable performance.
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We’re here to help! If you have any questions or would like to discuss.
We’re here to help! If you have any questions or would like to discuss how our IT services and technology solutions can benefit your business,
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