IoT – Making a Mark in Renewable Energy


IoT (Internet of Things) is an umbrella term for technologies that may use available network technologies to allow smart behavior and task automation. Out of the many IoT applications currently available, one of the important ones is in the field of renewable energy. Here are some amazing benefits of IoT that you can enjoy by implementing these solutions in renewable energy services:

1.      Smart Grid

It is difficult to create smart grids without implementing innovative concepts. The use of a single protocol is essential to ensure that renewable energy can be easily implemented within a conventional network. A smart solution is required because the available energy from solar, wind and hydro resources can be variable according to the specific environmental conditions.

An IoT solution can be implemented by treating each source as an internet protocol (IP) connection and allow it to interact with the grid using a single communication resource. This will allow the consumer to learn about the available resource and use the energy network accordingly. IoT solutions only require low power network connections and can easily provide the advantage of scalability with the energy source and used appliances of a consumer.

2.      Automation

Renewable energy is hard to harness with efficiency. This is especially true with solar and wind energy, which is often governed by variable resources. However, with the use of a smart IoT solution, it is possible to implement automated controls that allow your setup to harness the optimum energy from renewable sources. This may require altering the direction of the wind turbine or moving solar panels to ensure maximum efficiency and perpendicular surface to the energy source.

3.      Innovation

IoT is an excellent way to improve the use of renewable energy. Since it offers innovation, you can learn about the specific usage patterns with IoT based sensors allowing you to maximize the benefits of renewable energy and limiting the reliance on traditional energy sources like fossil fuels. The innovation is possible in a number of processes and methods.

Companies can grab big data with an IoT solution and then process the numbers to find useful trends. This will help in creating energy use policies that release the current reliance on traditional energy resources and allow renewable energy to work to its full potential.

4.      Decentralization

With the increasing demands for renewable energy, centralized data processing is simply not enough to offer the best support. IoT solutions that employ edge computing allow the advantage of decentralization where most data is processed close to the sensors, ensuring that the central energy control must only deal with brief and comprehensive information.

The control over the data transferred over the networks is important since it allows the use of a lower bandwidth to remain connected to other devices. With edge computing, the need for data storage is reduced, and more control is possible with finer analytics. Decentralization works well with devices and sensors that are placed far apart as required in most renewable energy grid solutions.

5G in IoT: Transforming Edge Communication


The Internet of Things (IoT) is a growing concept and is quickly expanding to domains that may not have been previously possible. One important concept is that IoT requires the adoption of innovative methods and new technologies in a consistent manner. One important element in this regard is 5G in IoT, which can transform edge communication and bring an IoT resolution. Here is how it can transform the current edge communication to the next level:

Understanding 5G

5G refers to the fifth generation of the wireless broadband technology, which can be implemented for a variety of solutions in an integrated manner. It is designed on the IEEE 802.11ac standard provides considerable improvements over the current 4G/LTE generation. It operates at the 5GHz frequency and can offer speeds reaching 1 Gb/s. This speed can be easily maintained for thousands of connections, which is excellent for IoT solutions.

5G in IoT

Modern IoT solutions usually employ cloud networks for data storage, handling and processing. They turn sensors into smart devices capable of handling big data and finding out information that allows them to act smartly as a universal solution for the entire environment. With 5G, it is possible to create IoT solutions that are not possible with the current technologies.

5G is currently in a pilot stage, where it is not scheduled to come out before 2020. Although this may seem too much ahead, it is a great idea to prepare yourself for 5G in IoT, by investing in models like IoTSense which have the capacity to implement any broadband internet model for communication between the devices, decentralized computing and a final storage on a cloud back, to form an excellent integrated solution.

5G in IoT has the capacity to revolutionize the use of smart devices. This is possible since 5G connections allow normal devices to communicate at brisk speeds. This can transfer large amounts of data between the devices, allowing them to perform communications within a closed system. This can significantly reduce the load on the cloud server and ensure that most data analytics are already performed using edge computing principles.

Transforming Edge Communication

Currently, the problem with decentralized data handling and processing in IoT solutions is the limited power of network connections. Smart devices cannot have wired connections as this is simply not possible. With IoT, we are looking for smart homes, factories and other spaces that are easily scalable and can be enhanced.

This is possible with 5G in IoT, which especially allows thousands of devices to connect with each other with better consistency and reduced latency time. Modern IoT solutions are already getting more complex by combining edge communication to the already proven abilities of cloud-based software solutions. With the right fit, it is possible to enhance the functionality of smart applications like IoTSense that already offers the ability to connect with future broadband network connections.

IoT: Monitoring CO2 Emissions for Greener Environments


Over the decades lot of damage has been done to our planet and a major contributing factor is pollution. The balance of the earth’s atmosphere has been disturbed by the rapid population growth, fast urbanization, drastic increase in vehicles on roads, and rapid industrialization. All these factors affect the quality of climate and this climatic change is caused by the accumulation of greenhouse gases in the atmosphere. The emission of greenhouse gases causes global warming, which is one of the biggest environmental problems facing the world today.

According to a study conducted by a professor at the Massachusetts Institute of Technology (MIT), the flow of products to consumers makes up about six percent of all greenhouse gases generated by humans. Another study by CDP—an NGO based in the UK, reveals that supply chains can account for  four times the amount of greenhouse gas emissions out of a business’s direct operations, while a Eurostat report shows transportation as the second highest emitter of global greenhouses gases.

To add to the above, the World Economic Forums reports that the carbon footprint of the logistics and transport sector is over 2,500 mega-tones, with road freight being the biggest contributor at around 57%. All these stats point towards one thing which is the need for sustainability initiatives.

The need for IoT solutions

Sustainability initiatives are good for all; they lead to costs savings and improved reputation, are appreciated by investors and consumers, and they help preserve the planet. In recent years, sustainability initiatives have gained momentum. One such initiative is the use of Internet of Things (IoT) solutions to monitor C02 emissions for greener environments.

Unless you have systems to measure them, you cannot improve or lower the C02 or carbon emission generated by your business. To identify where in your supply chain or business C02 are concentrated and develop, you need quality metrics. But, measuring C02 emission across the supply chain is challenging to say the least. A complex task, monitoring CO2 emission can consume a lot of your time and resources unless you use an IoT solution.

By enabling them to track and measure the environmental impact of each process in their supply chain, IoT solutions allow businesses to lower the greenhouse gas emissions in their supply chain. Also, since the IoT solutions can easily integrate with smart phone technology, you will be able to find out if a area or work site is responsible for most of the greenhouse gas emissions generated by your business. This in turn will allow you to deal with a problem area/work suite to reduce the C02 emissions generated in your supply chain or by your business.

Monitoring Assets with IoT Based Surveillance


One of the biggest concerns businesses are facing today is the security of their assets. To guard their assets against attack, sabotage, crime, espionage etc., businesses are stepping up the efforts to boost their security. A measure that can be particularly useful in this regard is the adoption of IoT-based surveillance.

A common aspect of business, security and surveillance has changed a lot in recent years and solutions today offer more than just basic alarm monitoring. Businesses that want to protect their assets from miscreants or unforeseen damage can now achieve their objective with the help of live video surveillance and other remote security solutions. Talking about remote solutions, many businesses today are using Internet of Things (IoT) based solutions to improve the security and surveillance of their assets.

By enabling them to securely and remotely monitor their facilities and assets in real time via smart surveillance solutions, the Internet of Things (IoT) is helping businesses to safeguard their assets and avoid losses resulting in compromised or damaged assets.

How IoT based surveillance can safeguard your assets

According to a report jointly published by Cisco and DHL, using IoT based solutions to track assets in the global supply chain and logistics sector can create an estimated $1.9 trillion dollars of economic value. If you run a business or oversee its operations, then knowing the location of your most valuable assets and tracking their health is crucial for you. The good news is that the Internet of Things (IoT) can make this easy for you.

With IoT based surveillance, you can track everything from raw materials to fleets to heavy equipment and finished goods remotely. Not only does this make life convenient for you, but it also helps you minimize inventory, save money, lower risks related to your assets, and create revenue streams for your business. Following are some of things IoT based surveillance that is currently being employed:

  • Industrial asset tracking
  • Luggage tracking
  • Fleet management
  • Livestock and wildlife tracking
  • Supply chain efficiency

Drive valuable results with IoT based surveillance

According to a study conducted by Forrester, IoT solutions can be leveraged by most industries for asset or inventory identification and tracking as well as their maintenance or for highlighting the availability of spare parts to enhance their end-to-end process. By enabling automated end-to-end tracking and monitoring of assets, IoT based solutions help companies to strengthen security and surveillance, receive maintenance alerts, and use sensors to track the location, speed and fuel consumption of vehicles. This results in lower fuel costs, lower insurance rates, quicker maintenance and servicing of assets, real-time rerouting of vehicles and efficient monitoring of assets, facilities and workers.

Decentralizing IoT from Cloud to Fog


Cloud technology provides businesses with a unique way of eliminating the need for maintaining physical resources. An important benefit of using the cloud technology is the advent of the Internet of Things (IoT). IoT refers to implementing the use of modern networks in all common applications to create smart devices for traditional and even mundane functions. Here, we describe what cloud-based IoT offers and how it is now moving from the cloud to take the advantage of fog computing.

Cloud-based IoT

Traditional IoT solutions are based on utilizing the power of the modern computer networks. With large datacenters available, they offer the processing and data storing backbone which is required by cloud services. IoT solutions are extremely efficient, when it comes to reducing the need for setting up hardware resources.

Devices can act smartly by sending data to a cloud server, which can arrange, store and process the data to produce useful results. However, with an increase in the number of devices, it is possible to support them, but the required internet resources can become very large in commercial and industrial applications. Currently, smart devices are present in different applications. With more smart devices around and a serious demand for IoT solutions, there is certainly a need to look for more innovations. Modern cloud-based IoT solutions may reach a ceiling where further improvement may not be possible. However, there are various methods that can be implemented within the current IoT practices to significantly improve the bar and raise the ceiling to a new standard.

Fog Computing Arrives

Fog computing is the principle of decentralizing data handling and processing  smart, IoT devices. This is accomplished by processing the available data and numbers, as close to the original source of sensors as possible. This is also termed as edge-computing and combine the elements of decentralized computing with the ability to general statistics from a central solution.

Decentralization Advantages

Fog computing decentralizes the processing requirements for smart devices. This allows their use in a variety of environments, where the processing needs keep changing from time to time. It allows the installation of computers closer to the sensors that can take care of the basic data processing needs. This can result in the creation of data, which is smaller in size and does not have redundant elements that are often present in a large IoT network. Another advantage is that it allows the use of IoT in population situations where the number of devices is simply too large to be directly connected to the cloud.

Increase Your ROI Using Industrial IoT


Just like Internet of Things (IoT), industrial IoT is used in many industries and for a variety of applications. Technology that initially focused on automation, and optimizing operational efficiency, industrial IoT has unlocked many opportunities in industrial control, asset performance management, intelligent manufacturing, optimization and automation. This in turn has helped create new revenue models, find new ways of servicing customers and move towards an on-demand service model, aiding industrial transformation.

Understanding Industrial Internet of Things (IIoT)

Compared to commercial IoT or the IoT known to most people, Industrial IoT is much more advanced, mainly due to the ubiquitousness of connected sensors or ‘IoT’ things in the industrial sector.  In the industrial sector, you will find millions and millions of connected analytical, wired and wireless pressure, position, temperature, acoustic, flow, vibration and other sensors installed and operational.

By connecting to a variety of on-site and off-site software platforms, these sensors provide a lot of valuable information. A local intranet is generally used to enable on-site connections while the internet or a cloud-based service is used for offsite connections. Some of the things ensured by the software platforms include asset management, control and monitoring, and specialized systems for data analysis. To unveil problems, patterns and solutions, a dedicated team of experts use the information from IIoT to perform sophisticated big data analytics at remote data analysis centers. Want to know the potential ROI of using industrial IoT? Then read on.

Predictive Maintenance

IIoT helps industrial maintenance to evolve from a preventive process to a predictive one. Based on the data associated with various sensors, and other indicators related to an asset’s status, predictive maintenance predicts the end-of-life (EOL) of a machine. By accurately forecasting the EOL of a machine, predictive maintenance helps identify the best time to schedule and perform the maintenance. This helps optimize Overall equipment effectiveness (OEE) which results in a decent ROI.

Quality Control

By facilitating the collection of digital or big data related to industrial processes such as a product’s quality, and defects in a product line, and helping trace and track processes and materials that result in a particular quality, Industrial IoT (IIoT) improves the quality of industrial processes. By using the information provided by IIoT to replicate successful processes, organizations can prevent defects and malfunctions in their industrial processes, which in turn can help them achieve tangible ROI.

Smart Contracts and New Service/Revenue Models

As part of the industrial collaboration, contracts need to be established among enterprises and their objects. Moreover, enterprises must adhere to these contracts. Today, it is possible to establish and enforce smart contracts between objects across a variety of applications due to the blockchain technology and its integration with Internet of Things (IoT). Even though the practice is still in its infancy, using smart contracts between industrial objects is being considered as the next evolutionary step in automating industrial processes. Once smart contracts are fully active in the industrial world, they have the potential to generate considerable ROI, making the use of IIoT increasingly significant.





How IoT Has Changed Big Data Analytics


Two of the most-talked about technologies of the modern era, Internet of Things (IoT) and big data are often confusing to understand—both individually and in relation to each other. A question that people often ask is how IoT has changed big data analytics. To answer this, we need to understand the Internet of Things, big data analytics and how they relate to reach other.

Understanding the Internet of Things (IoT)

The next big revolution in technology, the Internet of Things (IoT) is expected to generate revenues exceeding $300 billion from over forty billion connected devices by 2020.  The Internet of Things (IoT) connects physical items such as home appliances and vehicles to the internet through software or sensors to enable the exchange of information between them. The data exchanged between these devices is part of big data. With connected devices and IoT, managing and analyzing big data becomes easy. Let’s take a quick look at big data and big data analytics.

Understanding Big Data and Big Data Analytics

Defined by the 4 Vs: veracity, volume, variety and velocity, big data existed long before the Internet of Things (IoT) became a means for performing data analytics. Volume and variety refer to the size and type of data, velocity represents the speed with which data is processed while veracity is the data’s uncertainty. Combined, IoT and big data represent an enormous volume of data which can be either structured or unstructured. Considering the volume of data and revenue IoT will generate in the future, companies will have to upgrade their current tools and processes to enable IoT for big data analytics.

Such analytics offer a robust process that allows businesses the ability to investigate massive and varied datasets to reveal market trends, customer preferences, hidden patterns, and previously unknown correlations. As a result, big data analytics can provide businesses with the information they need to make better and informed decisions. By combining IoT and big data analytics, businesses can drive many benefits including improved new revenue opportunities, operational efficiency, better customer service, a competitive edge over rivals, and more effective marketing.

How IoT and Big Data Relate to Each Other

Data and its analysis will drive future technology. Today, a plethora of devices are connected to the internet, making it easier to transfer data gathered for analysis. The purpose of data analytics in harnessing this data to unveil trends and patterns that have a direct positive impact on customers, which in turn benefits the business. To put simply, by analyzing data, you get the answers and solutions you need.

The Internet of Things (IoT) provides the information that big data analytics requires to produce actionable insights.  However, the enormous volume of data generated by IoT devices can only be handled with powerful big data analytic tools. Since IoT gathers data on different scale, the big data analytics tool should be able to accommodate quick processing and ingestion and unerring and fast extrication.

Importance of IoT Air Traffic Control


By connecting smart devices with other smart devices, and allowing them to communicate with each other, the Internet of Things (IoT) is making our lives better. We can expect IoT to affect many sectors in the future and this includes aviation. Increased safety and passenger comfort and reduced travel time are some of the ways IoT could affect aviation. But, much needs to be done before this opportunity can be realized.

Air Traffic Control

One of the most stressful jobs in the world is controlling air traffic. To avert the dangers of everything from extreme weather, onboard malfunctions or human error, to terrorist attacks—people managing air traffic control need to have razor-sharp reactions. While technology has been introduced into air traffic control, it is still a task heavily dependent on the skill and ability of the people performing it.

If thousands of flights weren’t dodging each other every day, there wouldn’t be any need to improve air traffic control. However, things are not that way. The good news is that there is a technology that can help improve air traffic control and aviation , and  that technology is Internet of Things (IoT).

Unlike other aviation technologies, IoT isn’t directly involved in air traffic control instead it provides the people controlling air traffic with actionable insights which they can use to make informed decisions. And this is exactly what is required because at the end of the day, the quality of air traffic control depends on human decision making.

IoT can improve air traffic control in many ways and following are some of them.

Reduced Delays

Over the years, there has been a reduction in the delays caused by air traffic. Much of the credit for this goes to a device capable of predicting traffic load, which allows the people managing air traffic control personnel to accurately plan for the traffic due and fine-tune staffing based on it. Using an IoT based solution, air traffic control can not only get better flight data, but can also reduce every flight’s workload, which in turn can lower the chance of delays or, accidents.

Plot the Route of a Flight

Currently, data related to the flight including aircraft type, its altitude and intended route are printed out. Moreover, to record the information transferred to and from the aircraft, blank paper spaces are utilized. For each aircraft, several paper strips are used. To mentally determine their current location, each flight’s position at a time is compared by the controller. After flights have passed via the airspace, these strips of paper are maintained for almost a month.

By enabling data, the sharing of data on each flight between controllers is more easy and i s automated., IoT air traffic control solutions can help plot the route of a flight and avoid potential conflicts and other unforeseen circumstances.

Understanding your Machines with IoT Data


Manufacturing and assembling companies must always improve their processes and try to get more from their expensive machinery and setup. However, it takes most companies several months before understanding the operational capability of their machines and putting them to efficient use. With the application of IoT data gathering and processing, you can easily understand your machines and improve their performance. Here are the benefits of obtaining the ideal IoT data:

1.      Understanding Behaviors

By obtaining IoT data on a consistent basis, you can learn about the behavior of your machine use. This is separate from the actual machine performance. Learning your own needs from the machines is as important as gauging the service delivered by them. Behavior learning of machines is also possible when you use IoT solutions in your business, especially ones that provide the ability to perform edge computing and useful analytics.

2.      Data Management

IoT data is useful if it can be structured and transferred into useful information. This is possible with a tool like IoTSense that allows the recording of data from all types of industrial machines. The data can then be processed using edge computing solutions, which reduce the impact on the hosting cloud servers for a business.

With improved data management through an IoT solution, you can better understand your machines at a quicker pace. You may simply access analyzed data that allows you to store reduced information and understand the trends in terms of your machine behavior and the system’s capacity to produce the desired products and services.

3.      Machine Parameters

Your IoT data includes important machine parameters. This allows you to find out whether your machines are operating under stressful conditions or there is a margin for expanding their current use. It is possible with consistent data collection as you can compare the current performance with the legacy records and reach an ideal conclusion about your machine. With the right information at hand, you can use your machines efficiently as well as create smart schedules for taking care of them.

Your business certainly maintains its excellent position when IoT data solutions are present allowing you to turn your production facility into a smart factory, where you are aware of the capability of every machine and can schedule tasks among them to keep the facility running at an optimum efficiency.

4.      Future Strategy

IoT also allows you to understand if you need to add more resources to your business for an improved performance. Spending the ideal resources on your manufacturing facility is possible with the information that you obtain from your IoT data, especially when it is analyzed in the form of well-defined facts and figures. The ideal manufacturing strategy is certainly a recipe for organizational success.

Smart Fleet Management with IoT


Billions of connected devices that communicate with us and each other make up the internet of things (IoT). Each day, millions of new IoT devices are added to the billions already existing. IoT is empowering many fields today and one of them is fleet management.

By fueling innovation, IoT is increasing the safety and efficiency of fleet management. Additionally, it is helping to minimize the environmental impact of this activity and keep cargo safe and functioning optimally. Using this tech-based fleet management solution, businesses can manage their fleet and monitor the status of the vehicles remotely. A smart fleet management solution can benefit businesses in many ways and some of them are mentioned below.

Realize New Value from Existing Assets and Infrastructure

Do you have vehicles in your fleet that weren’t originally built to connect to the internet and share data? No problem, you can still connect them using intelligent gateways. Just attach these gateways to your vehicles and start collecting data from your previously underutilized assets. So, with smart fleet management, you don’t have to start from scratch to benefit from IOT and big data instead you can get these benefits by simply modifying your existing fleet.

Gain Actionable Insights

A well-known benefit of the Internet of Things is that it provides actionable insights. By employing a smart fleet management solution that utilizes IoT, you can capture data from things such as engines, sensors, cameras, dashboards, tires and smart phones. This data is either processed directly in the vehicle or sent to the Cloud for storage and additional analysis. In short, a smart fleet management system provides you with near real-time visibility into operations and new data streams that you can the vehicles in your fleet can act upon.

Increase Efficiency

There is so much you can accomplish with a smart fleet management solution including enabling a working relationship between your CRM and dispatch systems, providing your vehicles the ability to recognize you, and allowing tires to notify repair shops when they are low.

Lower Costs and Increase Agility

Using the information obtained from an IoT solution such as a smart fleet management solution, you can lower costs and increase agility. By enabling predictive maintenance, a smart fleet management solution using IoT can help lower repair costs and downtime. Additionally, it enables better use of assets by providing actionable insights and streamlining delivery routes.

IoT innovations are making processes easier and faster for businesses. One such solution is smart fleet management. With this IoT solution, businesses can manage their fleet remotely and get the most benefit out of them. If you’re searching for such a solution, then get in touch with IoTSense today.