Author: idbox

The integration of renewable energy and storage generates additional monitoring and control needs, not only to ensure optimal performance, but also for the earliest possible return on investment.

Monitoring is necessary to understand energy production and use, detect problems early and take appropriate action.

To understand how electrical energy is being used and how it can be optimized, owners must:

• Track how photovoltaic (PV) energy produced is consumed by loads, stored, or injected into the grid
• Track and analyze photovoltaic energy production trends along with load consumption
• Calculate the economic benefits associated with reducing energy consumption from the grid

Asset management functions should also be provided by a PV system monitoring system. This should include evaluating the performance of the PV system, detecting offsets or faults, and immediate notification of faults. In addition, since PV inverters can affect the power quality of an electrical installation, it is recommended to measure and monitor power quality disturbances, especially harmonics and imbalances.

When integrating local sources, such as a photovoltaic system, into a building’s electrical installation, control functions are often required. These functions mainly depend on the local sources available, the contract with the local energy supplier and the type of installation: grid-connected, microgrid or off-grid.For example, for an installation with grid-connected PV production, the necessary control functions may include:

• Limiting photovoltaic power generation so that energy is not pumped into the grid
• Control of the power factor at the point of connection to the grid to avoid penalties
• Shifting the load over the period of PV production to maximize self-consumption
• Participating in demand response, especially if storage units or generators are also part of the plant

Advanced cloud-based analytics optimize the use of local power sources, resulting in additional savings.
Considering additional criteria such as changes in electricity rates, weather forecasts and expected consumption, advanced analytics provide the optimal system configuration. The setpoint for each local source is then transmitted to the local control system.

To learn more about PV plant monitoring recommendations, contact us at [email protected].

As many of us already know, information technologies improve management, increase efficiency, reduce losses in supply networks and advance sustainable development goals.

Managing water resources and water services effectively and efficiently remains a major challenge in many OECD member and partner countries, while pressure on water resources continues to increase.

The OECD Environmental Outlook 2050 identifies the main challenges for water management:

• Increased competition for access to water
  (due to population and economic growth)
  
• Continued need to expand access to safe drinking water and sanitation in many parts of the world and to maintain water services in others
  
• Declining water quality
  
• Deterioration of groundwater supplies
  
• The threat posed by climate change

“80% of wastewater returns to the ecosystem without being treated or reused” (UNESCO, 2017).

It is for all these reasons that great challenges arise for us when addressing an Operational Intelligence strategy with our clients in the water sector.

A major challenge is the aging, often obsolete, infrastructure, leading to increased operational costs and leakage issues.

Asset and data management can minimize the impact of aging infrastructure. Easy data access and connectivity with various sources are crucial. Agile and robust data access is essential.

On the other hand, we must consider massive data processing as another important aspect. Our challenge is to solve the problem of controlled management of the massive ingestion of information, its contextualization and the analytical capacity to establish the most appropriate strategies, especially on the operational side.

Information sharing will also be a key aspect of the sector. The different departments of our companies increasingly need good coordination so that data can arrive easily and efficiently in real time, speeding up decision-making, improving productivity and performance.

Finally, despite being in a world of high connectivity and process automation, there is still manual data, so the tools must be able to integrate these data, as well as to debug and treat them and then incorporate them into the system as another signal of the same.

CIC as a Technology Partner

We see the Operational Intelligence Platform as a central data hub. Its core functions include data processing, debugging, and calculations. It also stores signals and processes AI-related data, such as machine learning algorithms for consumption models, predictions, and anomaly detection.

The connectors or drivers acquire measurement information and contextualize it with the company’s inventory and objectives. The platform then offers tools to build various use cases, adding value to users and ensuring efficient water cycle management.

The use cases can be general in the entire water value chain or specific as we can see in the following infographic on Operational Intelligence as a driving force for digital transformation.

In Energy Efficiency, we consider aspects like demand prediction based on weather and automatic pump optimization. Another use case is the carbon footprint. The Sustainable Development Goals (SDGs) were established in 2015 by the UN General Assembly to ensure a sustainable future. There are 17 goals, with number 13 being “Climate Action,” making it crucial for countries, societies, companies, and organizations. A tool for water reuse, carbon footprint measurement, and other climate change strategies is essential for effective policies.

Conclusions

In summary, it’s crucial to have good technology partners during business digitization. They enable improvements at all company levels.

If you have been left wanting to know more, we leave you access to the following webinar: Digitalization of the integral water cycle. Towards a sustainable management.

IDboxRT recently spoke with Antonio Grasso, a digital transformation expert with over 37 years of IT project experience.

Antonio is an entrepreneur, technologist, and CEO of Digital Business Innovation Srl, focusing on digital transformation and AI research. His ethical vision aims to promote emerging technologies for a better future.

In the interview, we discussed IoT vs. IIoT, their characteristics, and impact on manufacturing. Antonio shared future IIoT insights and readiness tips for the digital revolution.

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IDboxRT: What is the Internet of Things (IoT) and how is it different from the Industrial IoT (IIoT)?

Antonio Grasso: The Internet of Things is a paradigm that describes a world of connected devices (devices that are connected to a network and exchange information) that make the concept of a cyberphysical world real. The main differences between the IoT and the IIoT are in the necessary requirements and expected features.

While IoT mainly refers to domestic devices and things that are used in a consumer environment (a connected car, a connected refrigerator or a smartphone are considered IoT), IIoT – as the name implies – are connected devices that are used in a manufacturing environment to automate production, monitor processes or collect and process data in close proximity to the device.

This infographic will help you understand the key differences between IoT and IIoT:

IDboxRT: How can the IIoT change the world of manufacturing? What are the main challenges and opportunities in this area?

Antonio Grasso: A major opportunity is collecting data for AI algorithms that exploit probabilistic capabilities. IIoT devices control signal transitions from the physical to the cyber world. They also collect data that generates new, previously unavailable insights.

“IIoT devices, in addition to controlling the transition of signals from the physical world to the cybernetic world, collect data that can then generate new types of insight not previously available.”

Beyond this undeniable advantage, there is also a multifaceted aspect of IIoT devices that can benefit both product development and process improvement. As the following infographic shows, IIoT is present in both scenarios.

IDboxRT:  To meet evolving customer expectations and support the growing demand for services, what key features should manufacturers be looking for in industrial IoT software?

Antonio Grasso: As devices in manufacturing are constantly growing in sophisticatedness, you cannot think to plug and play a device or software without thinking about the architecture. Designing the correct architecture helps you to implement devices and software in the right way.

Starting from considerations about what are my customer needs and what are my objectives could heavily accelerate the implementation. Just think about the layers you need to configure for a mid-sophisticated architecture, could give you a vision of it as you can note from the infographic:

Let me say that the right implementation strictly depends on your industry. For example, if you are in the logistics industry, you should start thinking about connecting your trucks. This is a simple model of what you can manage/gather when implementing IIoT for the logistics and transportation industries:

Thus, determining the right software is not easy. It is better to start with your business model, your strategy, and your goals, and then build a team – perhaps using external experts – to develop your implementation.

IDboxRT: How do the IIoT monitoring solutions benefit the industry?

Antonio Grasso: First, familiarize yourself with the basic concepts of the Internet of Things, as in this infographic:

It all starts with data. Your goal is to manage and interpret the data generated by hardware devices. So, in my opinion, the first thing to do is to define the IIoT operating system, which is just the beginning for managing the incredible flow of data generated by IIoT devices.

“It all starts with data. Your goal is to manage and interpret the data generated by hardware devices. So, in my opinion, the first thing to do is to define the IIoT operating system, which is just the beginning for managing the incredible flow of data generated by IIoT devices.”

Then you have to get to know machine learning in order to analyze the huge amount of data and create insights useful for making business decisions.

The benefits are enormous and tend to be related to your business model. If I have to list some significant ones, I think the ones mentioned in this image are the right ones:

IDboxRT: In conclusion, what does the future hold for industrial IoT technologies, could you give an approximation of what we should expect in the context of the manufacturing industry?

Antonio Grasso: Many technologies are coming together to create value for manufacturing. Imagine infusing AI and Edge Computing into IoT devices would bring intelligence to perform inference locally, without transferring data to servers or the cloud. Many have coined a new term: AIoT to refer to the strict interconnectivity between the two.

But watching communications closely, I think 5G private networks will boost connectivity like never before. Low latency, extreme bandwidth, and increased security will revolutionize production with augmented and virtual reality.

The Digital Twin will evolve into an Intelligent Twin, enabling virtualization of complex devices like engines. This will achieve unprecedented simulation capabilities, improving products and services.

Manufacturers should consider the financial ROI before upgrading their manufacturing process. Here’s interesting information on the expected ROI from IoT projects.

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We would like to thank Antonio for taking the time to have a conversation with us at IDboxRT.  We certainly learned a lot and hope this information helps our community as well.

You can find more information about the protagonist of the interview and his work in the digital field here:

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Looking for a robust monitoring solution? Contact us to gain insights from our IDboxRT experts in your industry!

The more complex technology becomes, so do our needs. Two of the essential needs we seek, especially when it comes to business processes, are speed and efficiency. While we meet the need for speed and efficiency, we have realized that there is also another need: entertainment. We seek entertainment and interaction in our engagements. The user interface fills this void due to the inundation of digitization in our lives. We may not realize how common and crucial its functions are. One thing is for sure: user interfaces make our lives much easier. In this blog, we have discussed the topic of user interfaces with a very basic approach, as this topic can easily become very detailed and technical.

What is user interface?

The term is self-explanatory: user interface (UI) is a tool/object that helps people interact and operate more efficiently and easily. In other words, it enables human interactions to occur with computers, software, applications and websites. There are two aspects that occur when humans begin to interact with the user interface: the ability to command efficiently and easily and to receive instant feedback that aids the decision making process for the operating human.

We create user interfaces with multiple layers to appeal to users’ senses—touch, sight, and hearing. These layers minimize effort in achieving expected results. Various devices support these layers to enhance interaction—keyboard, mouse, microphone, touch screen, camera, and others.

Why is it important to have user interfaces?

In addition to facilitating and increasing the efficiency of human interaction, user interfaces play a key role in terms of the functionality of computers, software, applications or websites. Functionality is often measured by the speed and responsiveness of the user interface. It is also important to consider the user experience when designing and focusing on the functionality of user interfaces.

Below, we highlight important components of user interfaces. These components provide valuable information about the goals of user interfaces. However, user interfaces, in most cases today, contain multiple components.

Information architecture: Its goal is to provide an easy process, bringing out the most important information with minimum effort for the user. Information architectures can be built in hierarchical, sequential or matrix form. They also include tooltips, icons, progress bar, notifications, message boxes and modal windows.

Visual design: uses color, contrast, typeface, and video to attract users effectively. The aim is to draw users in and encourage prolonged interaction.

Input design: These controls allow users to interact with computers, software, applications and websites to complete the desired action. They include check boxes, radio buttons, drop-down lists, list boxes, buttons, toggle buttons, text fields and date fields.

Navigation components: They facilitate easy and efficient user interaction by providing clear navigation pathways. Breadcrumb, slider, search field, pagination, slider, labels and icons are common examples.

User interface on the IDboxRT platform:

The IDboxRT platform is based on state-of-the-art technology and the latest IT security implementations with the ultimate goal of bringing efficiency, security and ease to your production.

Our platform is the ideal place to view, control, compare and analyze everything related to your business processes. We provide all the necessary information with an in-depth view. Moreover, the in-depth view is applied for each component level.

IDboxRT is a platform in constant development and evolution. Furthermore, depending on the specific needs of the company, the platform can be adapted to the configuration of the operation.

Please contact us for more information on the updates from the IDboxRT team of experts.

How can the IoT marketplace deliver on its promise? Let’s take a look at what it will take to succeed from an enterprise IoT customer perspective. Companies that have been successful in large-scale IoT adoption take five basic steps:

1. Identify who owns the IoT in the organization. Currently, many organizations lack a clear IoT owner, and decision-making spans across functions, business units, and levels. Companies that have been successful in large-scale IoT implementations are addressing this situation by appointing a clear owner who can be representative of different functions and roles.
   
2. Design for scale from the start. IoT should be based on business outcomes. Enterprise customers often prioritize technology and pilot projects, often causing them to suffer as a result.
   
3. Invest in technical human resources. IoT technicians are in short supply. Hiring engineers and data scientists is important, but for organizations to be on the cutting edge, they also need to upskill their current employees in data science.
   
4. Change the entire organization, not just IT. Too often, IoT implementation is seen as a technology project run by IT rather than a business transformation. Technology alone will never be enough to unlock the potential of the IoT and deliver maximum value. Instead, the underlying operating model and workflow of the business must be redefined.
   
5. Monitor your processes. In general, IoT-based remote asset and process monitoring allows companies to reduce the time it takes to detect, analyze and fix problems with critical assets and processes. In addition, they can optimize human resources, improve the security of operations and reduce operating costs.

The IoT market is growing rapidly. Growth may be slower than expected, but that’s not because of a lack of confidence or belief in the impact this technology can have. Rather, we believe that operational factors are holding the market back. As we have seen, there are nuances at the level of customization and use clusters. This applies not only to growth, but also to tailwinds and headwinds. For the IoT to reach its potential, companies and their customers must address these issues.

Want to know more about this topic? Contact us and our experts will be happy to answer all your questions! 🙂

What distinguishes the fourth industrial revolution from previous ones is the convergence and interaction of several technological trends at the same time. Here are some of the main technological trends that that will permanently change our businesses and our lives.

Trend 1: Everything connected and smart

You’re no doubt familiar with the Internet of Things (IoT). IoT refers to the growing number of smart, connected devices and objects capable of collecting and transmitting data.

In the future, everything that can be connected will be connected. Not just devices and products – although this is certainly a key factor for businesses – but also the spaces in which we live and work. From smart, connected factories and offices to entire smart cities, the spaces around us will be increasingly equipped to track what is happening and act accordingly.

Trend 2: The datification of the world

Ubiquitous computing and IoT are bringing huge amounts of data being generated every day. But along with this machine-generated data, we humans also generate an enormous amount of data during our daily activities, a process that shows no signs of slowing down.

The good news is that companies can use this data to develop better products and services, improve business processes, make decisions and even create new revenue streams. However, companies also need to be aware of the risks associated with data, particularly data privacy and security.

Trend 3: Artificial Intelligence (AI)

All the data generated is an important tool for artificial intelligence, which has taken an incredible leap forward in recent years.

The result for businesses is that, as our interactions with machines become increasingly intelligent, customers will expect all types of products and services to have some form of AI capability.

Now, following all of these trends, we understand that we are entering an era of rapid and continuous evolution, where multiple technology trends combine and feed into each other to produce major changes. For businesses, this means that the days of incremental technology upgrades are gone forever. Continuous change is the way of the future.

If you want to know more about how technologies can improve your business processes, contact us and our best experts will inform you.

What is Web 3.0?

Although Web 2.0 may seem like an advanced approach to the Internet, it still has many drawbacks. What about the security of your personal data? With Web 2.0, trusted institutions take control of user data, especially because of the need for trusted intermediaries. If two parties want to make a transaction but do not know and trust each other, they will have to resort to the services of trusted intermediaries. However, the intermediary has control over the storage and management of the data, thereby increasing its power over the users. In addition, centralized power has never led to success in times of crisis, which requires decentralization.

Web 3.0 is a promising improvement over Web 2.0, especially given the major transformations in terms of infrastructure. The third generation of the Web, also called the semantic Web, uses an improved metadata system. The metadata system helps structure and organize all types of data, making them readable for humans and machines. The main benefit associated with Web 3.0 is almost the best twist on the differences between Web 2.0 and Web 3.0. Web 3.0 eliminates the need for centralized intermediaries and introduces the universality of information.

How revolutionary is Web 3.0?

Understanding the comparison between Web 2.0 and Web 3.0 should also focus on the uniqueness of Web 3.0. The third iteration of the Web is a formidable response to Web 2.0’s shortcomings with an emphasis on innovative technology. Web 3.0 uses artificial intelligence to enable machine-to-machine interaction as well as advanced analytics. In addition, Web 3.0 uses a decentralized network to bring data under the control of the owners. As a result, users are able to own their data as well as determine how it is distributed. In addition, the differences between Web 2.0 and Web 3.0 are improvements in user privacy and security. Web 3.0 uses encryption and distributed ledger technology to address trust issues that were evident in Web 2.0.

Notable features of Web 3.0

You can build a stronger foundation for understanding “What’s the difference between Web 2.0 and Web 3.0?” by focusing on Web 3.0 features. Here are some of the most important features of Web 3.0 that will help distinguish it from Web 2.0.

• Web 3.0 uses artificial intelligence to deliver the right results at a faster pace along with access to real-time information.
• Web 3.0 also allows users to tap into the potential of 3D images and graphics.
• Web 3.0 has a Semantic Web functionality. This means that Web 3.0 can support understanding the meaning of words. As a result, machines and people can easily find, share and analyze information on Web 3.0.
• Web 3.0 also offers important features such as improved privacy and security.
• Web 3.0 uses improved authorization mechanisms using distributed ledger technology and encryption to protect user identity and data.

If you want to learn all about how Web 3.0 and related technologies can improve your business processes, contact us and our top experts will inform you!

DEFINE A CLEAR DIGITAL STRATEGY
Planning a company’s digital transformation from the outset involves being able to see the big picture. You also need to be clear about your desired outcomes. Define your objectives from the outset. Decide what you want to achieve and make sure you understand why the organization needs to transform. Depending on your current and planned methods of operation, the following may be decisive factors:

• Reduced supply costs
• Increased sales volume
• Reducing waste or duplication
• Increasing profits
• Attracting new customers
• Catching up with or surpassing competitors
• Implement new technologies

In summary, start by assessing the current state of your business. Consider the requirements of your employees and systems, as well as potential areas for improvement.

CALCULATING ROI BEFORE STARTING IOT PROJECTS
A digital transformation should include an assessment of how much the proposed technology will drive revenue growth. A return on investment (ROI) calculation provides a feasibility check prior to

SELECTIVE TECHNOLOGY INVESTMENT
Choosing the right tools and technology is critical. There are many digital transformation trends being discussed in the marketplace, but technology must serve the business, not the other way around. Choosing the best strategy for the IoT journey remains a challenge. Before deciding on an expensive IoT implementation and choosing the direction of your journey, examine your options and seek advice on choosing the best technology and systems for your business.

IT/OT INTEGRATION FOR IOT SOLUTIONS
Integrating information technology (IT) and operational technology (OT) is no easy task, but with the right approach, it can deliver unprecedented growth. By implementing the right IoT solutions, you can successfully bridge the gap and create an intelligent, interconnected foundation to improve business processes and add value to your data. By integrating IT and OT systems, you can unlock the power of your data to generate accurate predictions and make informed decisions.

To ensure that your digital transformation efforts do not stall, it is important to have a trusted partner to guide you on your digital transformation journey. Each digital journey is individual and should be tailored to the client’s needs.

By checking off the different aspects of this list, you will be on your way to a successful digital transformation. If you would like to discuss digital transformation readiness in more detail, please contact us and we will put you in touch with our experts.

David Vilasack, IDboxRT manager at CIC, participated last month, September 28, in the conference “Cantabria in the Digital Transformation” organized by Ascentic and inaugurated by the president of Cantabria, Miguel Angel Revilla.

The manager’s intervention was aimed at talking about the experience of the IDboxRT monitoring platform in Industry 4.0, focusing on one of its main success stories: Bosch, whose project with the tool involves the monitoring of thousands of signals between its Spanish plants in Madrid, Barcelona and Aranjuez. Among the benefits obtained by this customer, we can highlight the creation of calculations and subsequent consumption reports to evaluate energy losses, or even the acquisition of data from CO2 sensors for personnel control (COVID-19) and reports for HR and Medical Service on the status of the different rooms of the plant for CO2 control (COVID-19).

In addition, Vilasack spoke about the key technological pillars in Industry 4.0, on which the strategy and operations of any company in its digital transformation process must be based. Among them, he highlighted augmented reality, cybersecurity, Big Data, the cloud, also known as cloud computing, an essential axis since 90% of companies will partially or totally migrate to cloud environments in the next three years.

Artificial intelligence was another of the elements analyzed, as business environments will become much more intelligent, forming a clear cohesion between machines and humans. They will be more efficient, effective and competitive spaces due to the automation of processes, so companies will increase their production and productivity.