Skip to main content

EDGE Essentials in IIoT

EDGE Essentials in IIoT 

Architecting an IIoT system begins at the edge where industrial "things" are instrumented with sensors, actuators and edge nodes. 
Key attributes: 
  • On board data processing reduces the latency for time critical control decisions. 
  • Synchronized data can be acquired.
  • Edge ready hardware is available.
To deploy IoT systems at the edge, below mentioned are the considerations. 
  • Data Acquisition 
  • Data processing
  • Control
  • Communication
  • Security
  • Deployment
Data Acquisition: Data is collected using edge nodes such as sensors, actuators at the machinery. Data can be temperature, pressure, position, vibration, rpm, motor/pump speed etc. When we talk about Data Acquisition, we have to consider sample rate of the data (i.e. at what time/moment need to collect each sample/data), resolution, triggering, signal conditioning and Isolation. 
Let me explain each term: Sample rate is number of samples per second taken from a analog (continuous) signal. Resolution is the number of bits that are used to represent each signal. Triggering indicates when particular data is crossed its threshold value then only we will take that sample for processing. In triggering also, continuous monitoring of data is there, but when threshold  value crosses, then only we collect the data.  Signal conditioning is the manipulation of a signal in a way that prepares the signal for the next stage of data processing. It improves the signal quality. Isolation is to isolate different signals from noise and other environmental disturbances.
Majority of the time spent on collecting data, instead of that time must be spent on analyzing the data. In my next article i will be discussing more about other considerations in EDGE essentials. 
Thank you. 



Comments

Post a Comment

Popular posts from this blog

Introduction to latest technologies such as IoT, IoE, IIoT,WoT

Hi Everyone, Now-a-days, we are hearing terms such as IoT, IoE, IIoT, WoT. In this article i am trying to explain what exactly these terms means.  Let me start with fancy word called IoT (Internet Of Things). Its a world of things (such as vehicles, home appliances, any physical device) connected.  These devices embedded with firmware, software, electronics, sensors, actuators and connectivity which makes any physical device intelligent, so that they can talk with each other. Do you want to know why? I will be explaining more details in my next article. IIoT is Industrial IoT, i.e using IoT in manufacturing industries. This brings brilliant machines together, advanced analytics and many more. It has great potential to change the way how the Industry works and it enables M2M machine-to-machine communication. Next article i will tell some real time applications of this. IoE is Internet of Everything where people, process, data and things(these are ...
2 comments
Read more

Introduction to Deep Learning

Deep Learning is a type of machine learning in which a model learns to perform classification tasks directly from images, text or sound. Its usually implemented using a neural network architecture. Here deep refers to the "Number of layers in the network" i.e the more layers, the deeper the network. Traditional neural network contain only 2-3 layers, but in deep network contains hundreds of layers. Deep learning example is  A self-driving vehicle slows down as it approaches a pedestrian network . Deep learning is especially well-suited to identification applications such as face recognition, text translation, voice recognition and advanced driver assistance systems and traffic sign recognition etc. Deep learning is growing faster because it really works.  What is the Difference Between Deep Learning  and Machine Learning? Deep learning is a sub-type of machine learning. For example with machine  learning, you manually extract the relevant features of...
Post a Comment
Read more

Introduction to IoT ecosystem

Basics of IoT IoT (Internet of Things) refers to a network where devices communicate to devices and devices communicate to software applications over the internet . This web-enabled devices/internet enabled devices will usually collect data, send and act upon data from their surrounding environment. •       The IoT network consists of Edge side (sensors, actuators and controllers connected to the internet) and Cloud side. •       The devices on the Edge side can either connect to the internet directly or using an Edge (IoT) gateway . The Edge gateway is used for: •        Providing a connection to the internet for devices that cannot connect to the internet on their own. These devices don’t have feature to connect to the Internet. •        Local functionality/control that must work even without internet availability •       ...
Post a Comment
Read more