Collecting and analysing data is one thing, making it useful through displays and dashboards for easy interpretation and action is another. ENWPS specialises in Web HMI development for display of all the critical data in easy format in many different designs and user interfaces. All relevant parameters essential for monitoring of the plant and process are available at a glance, alarms set for safety. Data from multiple devices can be accessed securely on any browser with any web application platform and all the results are logged in the data historian.

Data logging was once a manual activity before strip chart recorders were invented, but today it is fully electronic and in the IIoT era, embedded within devices. Data logging is essentially about monitoring of various physical conditions like temperature, pressure, flow, load, vibrations, etc., and recording them over a period for analysis of the process or condition monitoring. While earlier various types of mechanical/ electric/ electromechanical instruments were used for data logging, today it is almost all sensor based. ENWPS has the expertise in all types of data loggers – Standalone, PC-based, Web-based or Wireless.

With the proliferation of IIoT devices, security is a main concern as many experts believe that such devices often create vulnerabilities for the enterprise. This happens mainly because most of these devices are designed for specific applications. Security is not the main concern in that as there are no adequate standards framed for this emerging technology. Sometimes the vulnerabilities are caused by improper installation. It is more important to secure the networks against such security risks and there are hardware and software solutions that can address these concerns. ENWPS has the expertise to help enterprises secure their networks against hackers and other malware attacks.

Data can be gold or garbage – depends upon how it is analysed. With the number of sensors in the system multiplying rapidly, a humongous amount of data is collected, mostly unstructured, and of little relevance being of routine, repetitive nature. Data analysis becomes important in this case with predetermined values and parameters, looking for abnormalities with proper analytical tools. Sifting through the data for nuggets of critical information is extremely important for safe operations and predictive maintenance of the plant or machinery. ENWPS can help in this task of data analysis with reports for intelligence and insights for dramatically improved decision making.

Direct Machine to Machine or M2M communication helps in conveying information of routine nature without human intervention, taking automation to the next level. M2M is the very foundation of IIoT, the communication being facilitated by sensors that relay the information of physical parameters like temperature, vibrations, etc., or process needs like feeding of materials, replenishing the inventory – in general simplifying operations, eliminating or minimising human intervention.

Perhaps the most crucial aspect of IIoT is sharing of information – between machines and operators, between two or more machines, between assembly lines or plants, different departments and even external agencies in the larger supply chain. The information can be of relevance to activities like facility management, predictive maintenance, asset tracking, inventory management, safety and security or any such activity. Sharing of information also involves safety and security issues, confidentiality clauses so it is important to place adequate safeguards and firewalls.

The best part is, service support in the age of IIoT can be a totally different experience, as it connects people, products and processes at one end, and the customer at the other. Any product sold needs service support and that is more important in industrial hardware where the investments are high and productivity is at stake. Most machines today are monitored by remote for troubleshooting as part of the sales contract under warranty, or in AMC after that. IIoT facilitates this process but it also needs an elaborate setup and regular monitoring for smooth functioning.

IIoT as a technology holds the key to begin the process of digital transformation of an enterprise which is critical in the present era of emerging technologies. IIoT has the potential to change the face of the manufacturing sector, so much so that it has been called the fourth industrial revolution. If the pace of advancement in technology is anything to go by, intelligent factories will soon become the norm, rather than the exception. Multiple types of sensors with the ability to connect to the cloud are installed in the factory to gather data which helps to optimize the factory. The IoT system in a factory setting can work autonomously to drive and monitor production with minimal human intervention.

Conventional manufacturing processes had several inefficiencies which advanced automation can address successfully e.g., savings through weight reduction, energy conservation, etc.

IIoT ensures that the internal silos in the organisation are effectively eliminated connecting all the departments for a transparent functioning for best utilisation of time and resources.

With better connectivity, safety of plant personnel and equipment as well as security of the enterprise against external threats like cyber-attacks, can be coordinated more effectively.

Data collection is by default with IIoT devices and so is the storage – there is no need for manual record keeping – which facilitates easy recall and ensures traceability of the process.