Hybride_internet of things_platform

Hybrid IOT: The path forward for Industrial IOT

Sridhar krishnan

Sridhar krishnan

IIOT for manufacturing efficiency

The Industrial Internet of Things can help the manufacturing industries to transform to a smart industry. It enables them to collect data on machines, manufacturing process, the products produced and the quality of the products from the systems like mechatronics, embedded systems, and sensor hardware network. IIOT offers analytical applications to extract information from the raw data collected from various systems. The information helps the industries to improve the efficiency of the manufacturing process that will result in improve their productivity with optimized cost and improved quality, implement automation and predictive maintenance to avoid breakdowns.

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Challenges with mix of legacy and modern systems

The challenges and complexities of industries in implementing IIOT applications are various kinds of machines in the industry both legacy and modern. Most of the legacy machines have older sensors, controllers and proprietary systems, whereas the modern manufacturing equipment offers a wide selection of connectivity options, a whole range of data feeds and integrates data into modern data analytics software. The industry is working on to build and implement standard protocols, compatible interfaces and architectures to achieve full interoperability. But bringing old machines into IIOT is continue to be challenging as they require retrofitting of sensors, connectivity and simple compute endpoints to generate any kind of meaningful data at all.

Edge devices can solve the problem

The Edge or Gateway IIOT device which can act as a bridge between the data generating endpoints and IIOT cloud applications can solve the problem of connecting older sensors, controllers and proprietary system by custom implementations.The different kinds of capabilities can be added in the Edge devices to access different kinds of machines and sensors both legacy and modern. These devices can be deployed and IIOT applications can be provisioned to implement machine to machine communications and to connect with IIOT management platform.

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Hybrid IIOT development platform for Edge device development and management

We have a challenge in developing different kinds of edge devices to connect both older and modern machines with IIOT management platform to build a complete IIOT implementation for a manufacturing industry.

A hybrid IIOT platform can solve this challenge by offering the different kinds of Edge device development kits both in-premises private cloud with industry-specific support to develop and manage the edge devices for older machines and in public cloud with open standard support to develop and manage the edge devices for modern machines. So, A Hybrid IIOT development and management platform can solve the challenges in implementing a complete IIOT solution for industries.

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Peek into How Smart Cities are Shaping across the Globe

ManagementTeamMouli1

Kavitha Gopalan

Smart City has become more than a buzzword in the recent time, Government and city officials are looking for ways to use the concept of smart cities projects for resolving the challenges faced by cities. According to various market research, Smart city market size will grow to around $1.4 trillion by the year 2020 which is quite significant.

It’s difficult to accurately define what is a smart city. The idea is to make a city “smart” and efficient to improve the living condition of its citizens and propelling itself for a prosperous growth. It’s a vision in which the challenges in the cities like environment, economic, demographic and social are overcome by using digital technology. A Smart City could help in cities betterment through

  • Efficiency improvement – prevent wastage.
  • Economic impact like reduce cost, increase revenue.
  • Environmental impact like reduced CO2 emission, pollution reduce the wastage of resources like electricity, water.
  • Social inclusiveness – providing open data to the public to help then in the decision and interacting with city officials.
  • City attraction.

The growth of Internet of things and AI will drive the adoption of smart cities quicker. Internet of Things allows the devices to be interconnected and allows them to communicate their status and data to others. This allows various services in the City to be interlinked and transforming them into a smart city

A smart city will have interlinked city services like trans portion, schools, libraries, transportation systems, hospitals, power plants, water supply networks, waste management, law enforcement, others. By interlinking the information from various city services the inefficiencies and challenges faced by the city could be mitigated.

A smart city should have implemented features like Smart Grid, Smart Traffic management, Smart parking, Smart street light management, Smart natural resource utilization.

Some of the smart City initiatives include

Smart Traffic management: The sensor data from the streets streamed live could transmit the status of traffic on streets and connecting this data to the transportation system could divert the traffic to a less congested route. This could also be interlinked to the home assistance device like Alexa to inform citizen on the status.

Other similar application would be a smart parking system. Here the parking spaces fitted with sensors could transmit the status of occupancy and interlinking it to the various parking spaces in the city could allow the citizen to find the nearest parking space to their destination through a mobile app.

Smart waste management in which the waste disposal happens in an efficient way and helps reduce the overall cost. Sensors fitted in a garbage can signal when they are full and waste disposal can be initiated. This helps in reducing the logistics management of the vehicle to only when required and helps in reducing unnecessary movement of the vehicle in the road.

Smart Lighting which helps to reduce electricity consumption through the use of smart lighting control, like turning on only when the ambient light is low and turning off when not needed. Smart Lighting systems are frequently also equipped with central management software that monitors usage and leads to maintenance efficiency.

A new report released this year by Juniper research ranked Singapore as the smartest City followed by Barcelona, London, San Francisco and Oslo. They used some 40 metrics to evaluate covering technology, transport, energy, open data and economy higher weight age for transport and energy. Some of the smart city initiative by them includes

Singapore: sensors to track smoking in an unauthorized zone, open data from sensors and cameras to track traffic which public can view, smart traffic light, smart parking, Singapore encourages the use of public transportation and has reduced the number of private vehicle on road.

Barcelona: smart traffic management system, smart parking technology, smart streetlights, and sensors for monitoring air quality and noise, smart grid pilot projects, smart meters, smart sensors for irrigation.

London: technology to help tackle congestion and make parking simpler and Smart transportation.

SFO: smart parking, smart urban development initiatives, smart transportation.

Oslo: reduce energy consumption and greenhouse gas emissions, sensor network to help improve the care of sick, elderly patients, smart LED lighting and has launched a broad sensing network for monitoring traffic levels.

There are a lot of projects that could be done in a city which could deem itself propelling the city to being considered a “smart city”. But will there be a smart City “achieved” status? Probably no because there will always be room for improvement and it will be the ongoing process.

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Unleashing the Power of IoT Edge

ManagementTeamMouli1

Chandramouli Srinivasan

Enterprises are increasingly connecting a broad variety and number of IoT endpoints (a collection of sensors) to access data from and better manage physical assets that are relevant to their business. Typical IoT-enabled business objectives include traditional benefits, such as improved asset management, as well as new business opportunities and revenue models, such as subscribed-to services. Integrated IoT platforms are required due to the increasing sophistication, scale and business value of these data exchanges.

An IoT platform is an on-premises software suite or a cloud service (IoT platform as a service[PaaS]) that monitors and may manage and control various types of endpoints, often via applications business units deploy on the platform. The IoT platform generally incorporates operations involving IoT endpoints (sensors, devices, and multidevice systems), IoT gateways, and back-end enterprise applications and data. The platform provides the capability to monitor IoT event streams, enables specialized analysis and application development, and engages back-end IT systems or services. It typically plays a vital role in providing functionality for provisioning, controlling and even changing the endpoints to support IoT solutions. Any IoT solution contains two parts an IoT Edge (includes endpoints and gateways) and an IoT Cloud (includes Cloud, Analytics, and Visualizations).

General IoT Platform capabilities include:

  • Provisioning and management of devices
  • Data aggregation, integration, transformation, storage, and management
  • Device Event processing: Policy and Rules Management
  • Cybersecurity
  • IoT device communications (network and/or the Internet)
  • Adapter or Connectors (API hub, gateway software)
  • Customizing and building applications (SDK, IDE etc.)
  • IoT data analysis and visualization including machine learning
  • User interfaces for both end users and developers

MostIoT Platforms offer many of these capabilities in the cloud and allow edge devices like sensors and gateway to connect to their cloud and leverage these capabilities.

The IoT platform may be implemented by the enterprise as an on-premises solution, using an IoT PaaS in the cloud, or be distributed between any combination of on-premises IoT endpoint agents, the gateway, public cloud IoT PaaS, and back-end systems and data.Very few Edge focused IoT platforms like Fog-Horn and PAASMER provide many of these capabilities on the Edge of IoT. Offering these capabilities at the Edge means all the data from the sensors can be processed at the IoT Edge. This plays a critical role in providing a more real-time response to events and to lower the cost of maintaining an IoT solution.

MISTY is PAASMER IoT Edge software that bundles all the key elements required to power the edge to be truly intelligent than act as data transfer agents. Unique aspects of MISTY are:

    1. Modular Operating System.
    2. High Speed Edge Database.
    3. Real-Time Rules Engine.
    4. Edge Analytics.
    5. Edge Machine Learning Engine.
    6. Hyper-Scale Cloud Connectors.
    7. Patented Security Engine.

IoT platform software is an emerging market with many types of buyers across the enterprise, from central IT to various lines of business (or LOBs). These buyers have different objectives, project types and success criteria. IoT platform software’s rapid evolution is driven by enterprises’ technical and business requirements, which continue to rapidly evolve and vary by industry and region, and emerging standards.