Industry 4.0 & IIoT in Energy Usage
Industry 4.0: Energy Efficiency & Industrial Data
Industrial businesses face huge pressure to innovate, seek efficiencies, adapt to changing needs, and improve their bottom line. The aim of the Industry 4.0 revolution is to enable businesses to take a holistic view of their business to identify areas ripe for optimization. To achieve this, you have to gather & analyze data from all parts of your business in order to make informed decisions that promote efficiency, quality improvement, and return on investment. While this is a substantial undertaking for any business, our solutions in IoT energy management provide a big step in the right direction.
?What is the Industry 4.0 Revolution
Industry 4.0, often called the Fourth Industrial Revolution, represents the integration of intelligent digital technologies into manufacturing and industrial processes, creating interconnected and adaptive systems known as cyber-physical systems. This phase builds on three previous industrial revolutions: the First, marked by mechanization through water and steam power; the Second, driven by electrification and mass production; and the Third, characterized by automation with the advent of automation, computers and electronics. Industry 4.0 takes these advancements further by merging the physical and digital worlds through technologies like the Industrial Internet of Things (IIoT), artificial intelligence (AI), Big Data, and robotics. These technologies enable real-time data exchange and decision-making, fostering smarter, more efficient, and highly flexible industrial operations. Ndustrial’s approach goes even further, helping companies not only view and analyze their industrial data in one common platform, but also to take proactive and automated action.
The Industrial Data Challenge in Energy Efficiency Optimization
Unfortunately, what appears easy in theory is extremely complex in reality. Not only do you have vast amounts of data, but information is coming from diverse sources, each with its own unique parameters. To add complexity, data may be location-specific, in a unique format, or measured in different units. All of these make it seem virtually impossible to normalize and analyze data in its raw output form, or compare it with disparate and diverse data from multiple systems across different sites. Leveraging the data to optimize key aspects of your business feels far-fetched.
Data Complexities Need Robust Technology Solutions
That’s where we come in. Innovation requires experimentation and iterations, which can be expensive and are often not scalable. Ndustrial gives companies more opportunities for successful digital transformations.
Whether you have focused energy optimization requirements or big data challenges, we can help your business digitally transform through meaningful, real-time data analytics and powerful insights that evoke immediate action and deliver on the promise of Industry 4.0.
A Comprehensive Approach to Real-time Energy Optimization
Access: Gather digitized data from disparate sources
Aggregate: Normalize data to common data sets
Analyze: Extensively examine deep data analytics, beyond just KPIs
Optimize: Leverage insights to change parameters that can impact performance and revenue
Replicate: Our data scientists can utilize the algorithms and insights to help replicate and scale beyond just a single-use
All of this is done in real-time, with critical data available within seconds — using a Production-First Energy Usage Optimization methodology.
How Optimization Will Improve Industrial Operations
Integrate & Normalize Disparate Data
We can integrate and normalize diverse, disparate data from completely unrelated sources at multiple geographic locations into a centralized database within our cloud platform.
In-Depth Energy Data & Insights
We provide a true comparison and deep analysis of data from multiple factories. We offer actionable ways to optimize your resources for improved performance and lower costs, including Load Management.
Scalable, Replicable Solutions
We build truly scalable solutions that can be produced and replicated across many facilities and as conditions change.
Lessen Time-to-Impact
Our best-practice tools and processes enable companies to more quickly identify the issues they face on the front end and more effectively develop a scalable solution on the back end.
Low Risk, High Reward
Companies can lower their risk by using our platform to test multiple POCs simultaneously, without spending massive amounts of money or time. Explore and test efficiencies quickly and easily.
IoT Applications
Empower your industrial operations with real-time insights, enabling smarter decisions that reduce costs, improve efficiency, and drive sustainability.
Flexible Energy Monitoring & Intelligence Platform
We offer both customized and off-the-shelf software solutions to help industrial facilities optimize their digital data and achieve true energy intelligence. We realize each factory is distinct and may require a solution that’s customized for their needs, so our data scientists and service experts work closely with you as your master solution architects. We’ll optimize every aspect of our real-time industrial intelligence platform to meet your specific challenges. We partner with our customers to create very specific implementations and algorithms tailored to deliver highly optimized results.
The Challenges of IoT Energy Management
Unlocking the full potential of internet of things (IoT) for industrial energy efficiency comes with unique challenges. Seamlessly integrating data from diverse IoT devices is essential for delivering actionable insights, yet it demands advanced solutions to simplify complexity. Cybersecurity remains a top priority, safeguarding systems against potential threats while maintaining operational continuity. While the investment in scalable infrastructure and modernizing legacy systems can be significant, it’s a strategic step toward long-term gains. Reliable connectivity and real-time data analysis are critical enablers, ensuring businesses can act swiftly to optimize energy usage. Empowering teams with the right skills to harness IoT insights is the final key to driving efficiency and innovation in the industrial sector.
Ndustrial's Industrial IoT Energy Solutions
Ndustrial empowers businesses to overcome the challenges of industrial energy efficiency with cutting-edge IoT technology tailored for seamless integration and actionable insights. Their innovative platform simplifies data management, enhances cybersecurity, and ensures real-time analytics to optimize energy usage. By modernizing infrastructure and providing expert support, Ndustrial helps organizations unlock cost savings, improve sustainability, and drive operational excellence in the industrial sector.
Deep Energy Consumption Analytics Beyond the KPIs
While some companies can successfully aggregate and equate the data, they fail to leverage the true meaning of the data and make an impact on the output of the operation. Gathering data to determine a KPI is only the first step. But a KPI alone is not going to convey HOW to make changes to improve operations. What’s important – and extremely difficult to achieve – is leveraging the insights learned to actually optimize operations and impact the bottom line.
“It’s so much more than delivering KPI data or measuring performance. We don’t just help a company track and report their yield, we give them tools to determine how to get an even better yield with lower raw material costs. We help change the parameters and thinking based on insights we’ve learned. That’s the kind of impact our solution has on business.”
– Jason Massey, CEO of Ndustrial
Predictive Modeling Enabling Automation & Continuous Optimization
The key to optimizing efficiencies and truly impacting operations is the ability to create autonomous algorithms to enable sustainable and scalable models. These can be used to test different scenarios, allowing continuous operational optimization. While AI, machine learning and digital twin technologies have come a long way in industrial optimization, they still require human intervention, and new data training is required with even the slightest change in operations, raw material, other factory-related process. These are great one-off technologies, but they lack the true scalability and are not replicable across factories or even across lines within a factory.
“While AI and digital twin technology continually evolve and improve performance for specific use cases, they currently cannot adapt quick enough to become truly scalable. Building a digital twin is not enough — it is critical to anchor that effort with purpose and intent so that actions are meaningful and replicable.”
– John Crawford, CTO of Ndustrial
