Paasmer Developement Status

Paasmer Development Status – December 2017

ManagementTeamMouli1

Srinidhi Murthy

Hello everyone, we at Paasmer are continuously striving towards making your life as an IoT Developer or Organization or Institution easier. In this blog, we talk about some of the key new features that we have made available on the Paasmer Platform. They are listed below.

Paasmer 2.x Python, Java and C SDK

We have added an auto-download script to download the credentials and the configuration file of the device based on device creation and configurations done on the Paasmer IoT platform Dashboard. We have also added support for BT and Zigbee protocols for the above SDK’s.

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Paasmer CoAP V-1

Bringing the web to constrained IoT devices that lack the capabilities of computers or smartphones requires a special sort of IoT protocol, and CoAP is one such protocol that fits that bill. The Internet Engineering Task Force (IETF) standardized the Constrained Application Protocol or CoAP as RFC 7252 in 2014, essentially as HTTP designed specifically for constrained devices.

Constrained Application Protocol or CoAP is a service layer protocol that is intended for use in resource-constrained internet devices, such as wireless sensor network nodes. CoAP is designed to easily translate to HTTP for simplified integration with the web, while also meeting specialized requirements such as multicast support, very low overhead, and simplicity.

The Constrained Application Protocol was necessary because traditional protocols are considered “too heavy” for IoT applications involving constrained devices. CoAP is a software protocol that enables simple constrained “things” such as low-power sensors and actuators to communicate interactively via the internet. It runs on devices that support the User Datagram Protocol (UDP) and implements a “lightweight” application layer that features small message sizes, message management and lightweight message overhead ideally suited for low-power, low-memory devices.

The IoT realm is widely using CoAP as a protocol for home automation and in numerous industrial applications. The Open Connectivity Foundation and ZigBee are tapping CoAP as a core protocol for their frameworks and product implementations. To keep pace with the Cambrian-like explosion of growth of connected “things” ahead, an IoT protocol designed specifically for constrained devices, such as CoAP, has a critical role to play.

Paasmer IoT Platform always adopts the latest and most cutting-edge technology, drafts and protocols and adding CoAP support was a natural progression. The Paasmer CoAP V-1 is an SDK with ESP8266 Arduino libraries and Gateway Server for SBC’s. The Paasmer CoAP V-1 is a collection of source files that enables you to connect to the Paasmer IoT Platform and uses CoAP a service layer protocol.

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Paasmer CoAP V-1 SDK is designed for the Gateway and the End-device / Sensor-node and has two separate components.

Paasmer CoAP Gateway establishes communication between the End-devices and Paasmer IoT platform. It will connect and control the End-devices / Sensor-nodes and update the status to the Paasmer IoT platform.

Paasmer CoAP End-Device communicates to the Paasmer Gateway and Control GPIO Pins based on Gateway instructions.

The Readme file for the Paasmer CoAP V-1 is available here which talks about the Pre-requisites, installation, and setup in detail.

Paasmer 3.0 Preview

Paasmer 3.0 makes life easy for IoT Developers, Institutions and Organizations to deploy, update, and maintain code running on field devices. We aim to bring development and deployment workflow to hardware, using well-known tools like git, Docker, and simple toolchains to allow you to seamlessly update all your embedded IoT devices anywhere in the world. We handle all the nitty-gritty stuff so that you can concentrate on your IoT solutions and nothing more.

Paasmer 3.0

The Paasmer 3.0  would encompass the following features.

  • Control and Monitor Field Devices.
    • Reach your devices anywhere.
    • Choose your own flavour of OS.
    • Take control of networking.
    • Heartbeat and Status monitoring.
  • Provision devices with simple Wizards.
    • UUID for each device.
    • Zero Config support.
    • Add preconfigured credentials.
  • Manage many … many devices all at once.
    • Set environment variables for your devices.
    • Access devices via Web address.
  • Security built from the ground up.
    • All communication between Paasmer and Field devices is encrypted with rotating keys.
    • Continuous Updates.
    • Latest web-based authentication like OAuth 2 and OTP for dashboards.

The Paasmer 3.0  would be released in parts, starting with the Edge Docker. The Paasmer Edge Docker Version 1, which is built for Raspberry-pi running Paasmer OS is a collection of Docker containers that enables you to do analytics on edge and to connect to the Paasmer IoT Platform. This Paasmer Edge Docker Version 1 is equipped with Zigbee support along with Board GPIO’s. This is the first step in building the Paasmer 3.0.

The Paasmer Edge Docker Version 1 consists of two key submodules

Paasmer OS is an attempt to make container-based services available for embedded IoT devices. Currently, we support the Raspberry-Pi. Support for other devices coming soon.

Paasmer Edge Analytics is the key feature in Paasmer-Docker which provides you to do analytics on the sensor data. Presently we are providing filter algorithm, where you can filter your sensor data based on your filter condition. Support for More algorithms on analytics coming soon.

The Readme file for the Paasmer Edge Docker Version 1 is available here which talks about the Pre-requisites, installation, and setup in detail.

 

Edge-Analytics-IoT-Paasmer_Platform

Why Edge Analytics should be part of the IOT strategy of an Organization

Sridhar krishnan

Sridhar krishnan

The organizations in today’s ever changing competitive world should be capable of adopting to changes quickly and seamlessly. The organizations should carefully invest in right technologies to align with its strategy to attain maximum benefit. With growing and increasingly disbursed sources of information and the pace of organizational change accelerating rapidly, the ability to filter and analyze only the time-sensitive data both in real-time and historical in edge side and non-time sensitive data in the cloud is invaluable. It is cost effective approach to have central data analytics infrastructure only for non-time sensitive analysis and moving analytics to Edge gives an opportunity to monitor and running stream and batch analytics to get insights to take decisions quickly with speed and simplicity.

Three central value propositions of Edge Analytics:

Real-time response – There are many critical systems that can’t depend on a cloud connection for a decision. A few seconds of latency can make a significant difference for an operation with massive power consumption from multiple sources. And sometimes connections fail entirely, which is far more damaging than simple latency.

Cost of data transmission – Rule-based engines can filter out the noise and send only the interesting information back to the central repositories. Gateways can also batch information into packets with smaller footprints that are more optimal for a given means of transmission.

Information management – Edge processing can make a significant impact by cleaning and be harmonizing data before sending it off to central information management systems. this type of edge processing improves central data mining and analytics capabilities.

Edge Analytics is the game changer in all the industries including industrial IOT, retail, manufacturing, finance, energy and agriculture sectors.

Core benefits of edge analytics and industries where it makes more sense are,

  • Remote Monitoring in Oil & Gas Drilling, Oil & Gas Refineries, and Wind Turbines industries.
  • Preventive Maintenance in Factory Robots, Airplane Tires, and Energy Grid industries.
  • Personnel Safety in Refinery Gas Leaks and Contamination Containment.
  • Real-time Quality Assessment in Oil Drilling, Manufacturing Cell, Train Repair
  • Asset Health in Readiness Assessment.
  • Efficiency Through Digitization & Automation in Smart Meters, Utility Billing, etc.
  • Cost Reduction Through Better Facilities Management in Energy Management & Reduction.

Business use case examples

Manufacturing
Manufacturing organizations must run data aggregation, data preparation and analytic workflows at the source, where the data is generated. When linked to sensors along the path of production, analytic models running on gateway devices at the network edge evaluate and score manufacturing output by parameters such as size, temperature, pressure, color, vibration, and weight. When variances are detected, the embedded sensor, smart device or gateway immediately sends alerts or even stops production to help limit waste. The manufacturing process benefits from the flexibility to monitor and update the model at the point where data is generated and from the network efficiency to send only valuable information like state changes back to the cloud for deeper analysis.

By using machine learning, data mining and advanced analytics at the source of the data to examine thousands of steps per process, manufacturers can catch small, bad batches before they become large, seriously bad batches. One pharmaceutical company discovered that minimizing scrap and wasted resources saved them several hundred thousand dollars. Their Edge analytics implementation combined with a program of statistical process control featuring audit trails and role-based security, allowed them to recover their investment in edge analytics in the first quarter after implementation.

semiconductor manufacturers automatically analyze and classify patterns of failures such as scratches or defects around the edges of silicon wafers. They identify possible root causes, and the specific processing steps and respective tools and machines that require inspection or maintenance.

Retail customer behavior analysis
Near instant edge analytics on sales data, images, coupons used, traffics patterns, and videos are created – provides unprecedented insights into customer behavior. This intelligence can help retailers better target merchandise, sales, and promotions and help redesign store layouts and product placement to improve the customer experience. One way this is accomplished is through the use of edge devices such as beacons, which can collect information such as transaction history from a customer’s smartphone, then target promotions and sales items as customers walk through the store.

Banking
Edge Analytics helps banks to understand their customers better by providing insights such as location-based suggestions and customer recommendations. Embedded in the bank’s customer channels – online banking or mobile banking, edge analytics delivers transactional behavior and location-based suggestions in real time.

Agriculture
We believe Edge Analytics can come into play in sectors such as farming and agriculture largely wherein regardless of the network, analytics can point out equipment failure or irrigation leaks.

save-environment-iot-paasmer

Save the environment – IOT is the way to go

Sridhar krishnan

Sridhar krishnan

Saving the environment from pollutants, waste dumps, carbon emissions, contaminated water and contaminated land is very important and must be done to protect the earth for a clean and healthy life. Technology should be used wisely to achieve the same. With advancements in sensor technologies, edge devices, communication protocols, and data analytics, IOT is the perfect solution to save the environment.

Waste collection, segregation, recycling and waste treatment is the standard and established the process in waste management. But the challenge is, executing this process as the amount of waste generated is keep increasing in a faster pace with growing world population. As this is a continuous process, this must be supported by the right government policies, strict measures, auditing, educating people and perfect implementation. A small deviation in the process may cause big damages to the environment. This must be handled with the right technology in all levels, IOT can offer end to end solution to achieve the smart waste management to save the environment.

For smart waste collection, IOT can make the Trace bins as smart Trace bins and connect them to the pickup vehicles and control center. The sensors in the trace bins will notify when the bins are full to the pickup vehicles and the nearest one can collect the waste. This will help to empty the bins as soon as they are full and efficiently allotting pickups to save time and cost. Waste segregation is an important process in waste management. Sensors can be used to automate the segregation process. IR proximity sensors are used in an automation system, Capacitive sensors can be used to segregate wet and solid waste. The segregation process can be connected to waste management IOT system to collect data on diverse types of waste collected from different centers, the data can be used for further analysis to derive useful and meaningful insights. Segregated waste based on the type, can be converted or recycled to other products. The final waste must be treated before dumped in landfills to make sure it will not contaminate land and water. IOT sensors and devices in each level can be efficiently used to collect data and manage the entire waste management process to reduce the damages to the environment.

IOT can also be used for Wastewater treatment. It offers a cost-effective, energy-efficient and environmentally friendly solution. The various sensors can be used to measure water temperature, conductivity, pH, turbidity and dissolved oxygen content, as well as atmospheric conditions such as pressure, humidity and solar radiation. After collecting the relevant data, the system can communicate with IOT Gateway to upload the sensor data to the cloud for viewing and analytics. For more details refer
http://www.engineering.com/IOT/ArticleID/14925/Wastewater-Treatment-with-the-Internet-of-Things.aspx

Carbon emission is another major spoiler of the environment. IOT can be used to capture real-time emission data from the sensors and feed it to a cloud storage built for Big Data ingestion, Analyze the data in real time and put in place rules that automate actions when limits are exceeded. Apps can be developed to offer visualization of CO2 emissions so that both the culprits and the government can keep a tab on the emission levels, and appropriate remedial measures can be taken.

IOT based smart solutions can be used to save energy in the home, industries, agriculture, transport, city management to save the environment. So IOT can play a key role in the resolution of these global environmental issues. Cheaper bandwidth, greater availability of computing power and reduced storage costs are all driving the adoption of IOT technologies to combat pollution in more and more innovative ways. With information coming in from so many sensors everywhere, IOT can provide more insight into how we use our world’s resources and how we can conserve them in a way that makes sense.

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Weekly Digest on Internet of Things

ManagementTeamMouli1

Kavitha Gopalan

Will banks catch the curve of the machine-to-machine economy?
We are now at the tipping point. Technologies like IoT, autonomous vehicles, drones, robots or 3D printers will “people” this brave new machine-to-machine (M2M) economy.Core information and communication devices, which have been traditionally confined to boxes (PCs, smart phones, tablets etc) are increasingly embedded in all types of artefacts making our homes, offices, cars, trains, public spaces and cities “smarter”.Today we have two types of customers, individuals and corporates. Now with the rise of the machine-to-machine economy, a new customer segment of machines is arising.”
“Our assumption is that these M2M economies will be orchestrated as transactions on the blockchain. And the prerequisite to be part of the machine-to-machine economy is to have an integrated IoT and blockchain strategy and a footprint in both, IoT and blockchain space.”

Find out more on this post from IBT

How the Cloud Fosters Smart, Connected Manufacturing
Industry 4.0, Industries 4.0, or the fourth industrial revolution, is the automation and data exchange in manufacturing technologies, creating what many refer to as a “smart factory.” Although analysts claim that less than one percent of all production data is ever used, the promise of the Industrial Internet of Things (IIoT) is the ability to analyze huge amounts of data to identify patterns like tool wear or equipment fatigue. This insight gives manufacturers the predictive capability that can improve quality, productivity, and downtime. The key here is connecting data throughout the enterprise to provide insights for improving business processes.
Connected manufacturing is the foundation and the cloud is the key requirement, connecting not only your plant floor, but also connecting the plant floor to the top floor. You can run your entire manufacturing business via the cloud: plant floor production control intertwined with end-to-end inventory traceability, closed-loop quality connected with product lifecycle management, planning, finance, human resources, and supply chain management.

Find out more on this post from CIO.

The Platform of Things: The Mega IoT Platforms Land Grab
Platforms are important for IoT market growth because they standardize key functions such as application development, connectivity and device management. The typical PaaS package includes freemium access to APIs, SDKs, templates, libraries and tools, built on cloud resources for scalability and public cloud for testing and development. Platforms are a cost-effective route to advanced services such as connectors to back-office ERP, analytics, security and even blockchain pay-as-you-go. SaaS applications then inject the vertical specific capabilities on top. However, with a plethora of platforms out there, is there danger they will become commodities?

Find out more on this post from Forbes.

Complementary Technologies Enabling Effective IoT solutions
Internet of Things (IoT) is a path breaking new technology wave that is affecting our daily lives in ways unimaginable before. With Sensors, Cloud and Analytics, we are now able to provide solutions which were otherwise impossible. We are also able to give customers, strategic insights into their lives like never before.
For example IoT deployments can bring disruptive changes to retail industry. Retailers are exploring ways to use intelligent, connected devices to offer new services, enhance customer experiences, enter new markets and improve supply chain by creating digital ecosystems.

Find out more on this post from PAASMER

Big Money in The Internet of Things: A Mid-Year Report
While the numbers and percentages involving the Internet of Things are large, they are nothing compared to the dollars involved. $348 million will be Security spending on the Internet of Things this year (Gartner) and $547 million will be Security spending on the Internet of Things in 2018 (Gartner)

Find out more onresearch around the IoT moneythis post from MediaPost

GE is bringing its Internet of Things platform to Microsoft’s cloud
Jeff Immelt, GE’s chief executive, appeared on the stage of Microsoft Corp.’s annual partner event in Torontowith Satya Nadella to announce that their firms are joining forces to help organizations analyze the vast volumes of data coming off the connected universe.The collaboration will see GE’s Predix platform-as-a-service stack, a Cloud Foundry distribution specifically optimized for handling machine-generated logs, made available on Microsoft Azure by the end of the year. The vendors then plan to test the port with a limited number of users for another six months or so before making it generally availability in the second quarter of 2017.

Find out more on this post from Silicon angle

Arm Holdings confirms Softbank is buying the chip designer for £24.3B in bold IoT move
Arm Holdings confirmed that Japan’s Softbank Group has offered to pay £24.3 billion ($32 billion) to acquire the company — known for its chip designs for mobile handsets (Apple is a customer) as well as for processors that will power hardware in Internet of Things networks. It’s the IoT piece that interests Softbank the most, the company said.

Find out more on this post from Techcrunch