AI-based Energy Analytics

Building sustainability with AI-driven energy management solutions.

AI-based energy analytics for sustainable energy management in Industries

Creating a sustainable environment is crucial, and efficient energy management is key. By monitoring and reducing consumption and avoiding waste, we can achieve sustainability goals effectively. AI-based energy analytics enhance energy usage visibility, fostering resilience and sustainability within Industries. Here, the contribution of Energy-Centered Predictive Maintenance (ECPM) cannot be overlooked since it emerges as an innovative energy management software designed to reduce energy consumption and wastage. Advanced AI analytics ensures that excess energy usage or waste is identified and addressed through timely maintenance or repairs.

Steps in ECPM and its impact

Energy-centered predictive maintenance (ECPM) is a cutting-edge reliability and condition monitoring technology designed to monitor industry energy consumption.

It operates through the following steps:

It identifies machines and devices that consume energy within an operation.
It collects historical data and establishes a standard baseline for energy consumption.
Real-time monitoring helps to analyze the root cause of any deviation.
Necessary maintenance actions are chosen to restore efficiency.
Continuous improvement of maintenance strategies based on data insights enhances the efficiency of ECM.

ECPM optimizes power consumption with wireless IIoT sensors that gather magnetic flux data. The AI-based analytics platform then provides insights that enable proactive maintenance, prevent failures, reduce costs, and minimize downtime. Seamlessly integrated, this solution enhances reliability and trust, proving its adaptability across various industries, such as Cement, Oil and gas, Chemicals, Pharmaceuticals, and more.

Nanoprecise’s energy management software mainly stands out due to its comprehensive, AI-based energy analytics.

Measurement of baseline energy consumption

Monitoring of energy consumption trend

Real-time monitoring with predictive accuracy

Energy consumption tracking with NrgMonitor and its features

At Nanoprecise, we offer NrgMonitor, an advanced ECPM solution that tracks energy usage for motor-driven equipment. This tool provides visibility into power consumption and efficiency across diverse industries. Equipped with our MachineDoctor sensors and AI-based energy analytics, NrgMonitor captures real-time data to identify deviations from standard power usage caused by faulty equipment. It also tracks CO2 emissions, aiding regulatory compliance and supporting net-zero goals. Its adaptability and easy integration with various equipment make NrgMonitor an ideal choice for managing energy consumption effectively.

Maintenance Challenges and AI-based solutions

Optimizing energy usage is challenging in large industries with intricate assets and machinery. However, AI-based solutions can effectively manage these challenges.

1. Often, energy consumption data is lost and not captured rightly due to a lack of tools to analyze and interpret them.

2. Energy requirements differ according to a machine’s speed, placement, and purpose, which makes it complicated to create standard consumption baselines.

Nanoprecise’s NrgMonitor predictive maintenance solution uses AI-based energy analytics to tackle these challenges. It reduces equipment downtime and offers actionable insights, enabling the development of effective energy management strategies to improve energy consumption.

Reducing Downtime in Metal Industry

Our IoT driven Predictive maintenance solution helps to reduce downtime, monitor, collect exchange and analyze data from machines to enhance manufacturing processes of the metal industry.

Machine failure in the mines? No worries.

Our solutions can add immense value to your entire mining supply chain by harnessing the power of Industry 4.0. The asset performance will be optimized, costs and machine downtime can be reduced leading to a boost in ROI.

No more unplanned downtime in Cement Industry

Our Industry 4.0 digital solutions can help you tackle the challenges in cement production such as large energy consumption, high costs and complex processes.

Our advanced analytics can simplify complexities and help in real-time decisionmaking. Equipment lifespan and reliability will amplify due to our condition monitoring system.

Protect your assets with Zone Approved Solution

Our digitization solutions in industrial equipment maintenance can help oil and gas companies streamline maintenance. Our predictive analytics and conditional data monitoring help anticipate failures, reducing unplanned maintenance and unscheduled downtime.

No more Downtime, Keep your Machines Running in Chemical Plants

Our AI driven analytics can propel your chemical business to new heights of reliability by optimizing asset longevity and impacting top-line growth through proactive identification of upcoming machine failures. IoT driven asset maintenance solutions can provide immense flexibility and agility to production.

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Frequently Asked Questions

RCM ensures that machines are in working condition, often overlooking any over-consumption of energy or small issues that might not hamper the operation. On the other hand, ECM focuses on reducing energy consumption and identifying any potential issues. ECM ensures higher ROI by reducing energy usage by comparing with the measured baseline. This makes it a cost-efficient solution in the long run compared to RCM.

Nanoprecise understands the need to monitor energy consumption efficiency and developed NrgMonitor as an AI-based monitoring solution. It can proactively monitor and manage energy consumption in an industrial setting. This AI-based energy analytics ensures access to real-time data that is beneficial for reducing downtime and better planning the operation process.

By embracing innovation with a passion for making a difference, Nanoprecise created NrgMonitor, a solution that can transform the monitoring and managing experience.

With the help of real-time data, accurate insight can be gathered to understand and strategize energy consumption.
Its AI-based energy analytics feature guarantees proactive management and predictive maintenance.
NrgMonitor reduces downtime and prevents equipment failure.
With proper monitoring, energy usage can be optimized, saving costs in the long run.
NrgMonitor ensures that the overall operational efficiency is improved.

Nanoprecise’s NrgMonitor captures and analyzes real-time machine health data. This information is directly shared with reliability teams on the plant floor and higher-level management. NrgMonitor ensures that timely actions can be taken to optimize performance and prevent issues with the help of our condition-monitoring engineers.

Many industries face stringent regulatory requirements related to energy usage and eAI-based energy analytics in Energy-Centric Predictive Maintenance helps you achieve your sustainability goals by providing detailed insights into energy usage and emissions. Analyzing real-time data identifies key factors driving emissions and highlights improvement areas. This targeted approach allows you to manage energy more efficiently, reduce your environmental footprint, and meet sustainability targets without substantial investment.

Let us show you how!

Explore the transformative potential of predictive maintenance. At Nanoprecise, we specialize in tailoring predictive maintenance to your unique needs. Reach out today, and together, let’s pave the way for a more efficient, profitable and sustainable future.

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