What do you understand by IOT ecosystem and what type of platforms are referred as IOT platforms?
The Internet of Things (IOT) is a system consisting of a networks of sensors, actuators, and smart objects to interconnect people and day to day activities. The industrial IoT ecosystem objects the purpose as to make systems intelligent, programmable, and more capable of interacting with humans and each other.
The IOT ecosystem is hard to define due to the vastness of possibilities and the rapidity with which it is expanding. It is creating numerous challenges and opportunities in the field of engineering and science. The success of IOT depends strongly on standardization, which provides interoperability, compatibility, reliability, and effective operations on a global scale.
There are 4 other types of platforms that are referred to as “IOT Platform”, according to IoT Analytics:
- Connectivity / M2M Platforms: These platforms mainly focus on the connectivity of the devices connected through telecommunications networks (for example, SIM cards), but rarely in the processing and enrichment of the different data sets of the sensors. An example of a connectivity platform is Sierra Wireless or Air Vantage
- IaaS Backends: Infrastructure as a backend service that provides accommodation and processing power for applications and services. These back ends are used to be optimized for desktop and mobile applications, but IOT is now also in focus. An example is IBM Bluemix
- Hardware specific software platforms: Some companies that sell connected devices have built their own backend. . Since the platform is not open to anyone else in the market it is debatable whether an IOT platform should be called. An example is Google Nest
- Extensions / software for consumer companies: Existing business software packages and operating systems such as Microsoft Windows 10 are allowing more and more integration of IOT devices.
What are the key components of IOT ecosystem?
The elements of IoT ecosystem are:
It helps in managing the flow of data traffic between protocols and networks. It translates the network protocols and makes sure that the devices and sensors are connected properly. The flow of traffic is very important to manage.
It is very important to analyze the operations and their impact in a particular organization. It can only be possible due to the IOT ecosystem that manages and helps in improving the system. It supports real-time analysis. It observes the irregularities closely and prevents any loss or scam.
Data may be a small word but it holds the power to make or break the business if used correctly.
3. Connectivity of Devices
Sensors and devices are the main components that complete the connectivity layer. Sensors collect the information and send it to the next layer for processing. The wireless networks like LORAWAN, Wi-Fi, and Bluetooth makes it easy for them to stay connected.
Various applications and devices help businesses to collect the data in bulk, this data is then processed, handled and stored efficiently. It is also responsible for making decisions that can easily break the deal. IOT cloud is the best solution for this.
5. User Interface
IOT ecosystem immensely depends upon the user interface and is the visible part to the user. The developer should create user friendly interfaces so that he won’t face any issues or difficulties and the interaction between the user interface and user must be carried out with ease.
6. Standards and Protocols
The IoT ecosystem can work and transfer data in online mode only when the devices are properly connected to a communication network. The IoT system has a three-level architecture: gateways data systems & devices. The data or information transfers between these levels via four different types of transmission channels.
How is industrial IOT ecosystem is beneficial?
- Greater speed of commercialization - Manufacturers that deploy architectures to support the IOT revolution claim that they are reaping the benefits of opening up information flows between the plant's systems and business applications. The result is like having a "company-wide decision engine", that allows them to accelerate new products to the market, and execute supply chain adjustments faster than before.
- Greater productivity and operational excellence - IOT ecosystem layers promotes a new class of operational assets. It is generally incorporated with sensors capable of communicating with other machines, without human intervention. These networks of intelligent machines automatically adjust to changing operating conditions, and alert operators to maintenance needs before breakdowns. As a result, equipment efficiency increases and the risk of downtime decreases. Meanwhile, costs are automatically controlled through proactive maintenance programs that depend on devices, based on sensor data that are communicated through industrial networks.
- People are more connected - IOT applied to the industry will allow people to connect to the Internet in countless ways. Nowadays, most people connect to the Internet through devices (PCs, tablets, televisions and smart phones) and social networks (Face book, Twitter, LinkedIn). As the Internet evolves towards the IOT, people will connect in a more relevant and valuable way and the Ericsson iot ecosystem is one of the most innovative IOT platforms today.
- Most optimal processes - The process plays an important role in other IOT entities - people, data and things - integrate with each other to offer value through traditionally separate and distinct scenarios. With the right process, efficiency and cost-cutting increases, the connections become more relevant and value is added because the correct information is delivered to the right person more effectively.
- Proactive uses of the data - With IOT applied to the industry, the devices usually collect data and transmit it over the Internet to a central source, for analysis and processing. As the capabilities of the devices connected to the Internet continue to advance, they will become smarter by combining the data with more useful information. Instead of simply reporting raw data, connected entities will soon send higher-level information to machines, computers and people for a deeper assessment that will optimize decision making.
- Smart devices - The IOT layer includes physical elements such as sensors, devices, and business assets connected to the Internet and to each other. In IOT, the devices will have more data, become aware of the context and provide more experiential information to help people, and machines make more relevant and valuable decisions. Some examples range from intelligent sensors that collect energy consumption at the machine level to other IP-enabled digital devices such as video cameras or RFID readers.