IoT has already created ripples in the technology space, and the surge is expected to heighten in the years to come. It is only when these capabilities are implemented in the space of industries to build smart solutions that it becomes Industrial IoT. These Industrial Internet of Things transform the strategies of manufacturing and the companies which help to improve quality and productivity in the industry. Industrial IoT has ushered in a new era of competitiveness and economic growth in the world of technology.
The Industrial IoT technology is a combination of different technologies which includes big data, sensor data, automation and M2M communication, that came into the picture many years back. Industrial Internet paves the way to plenty of opportunities and makes a connected organization by merging operational department and industry information.
McKinsey Global Institute identify industries which have the potential for $36 trillion to drive productivity to break with operating costs, landscape and business.
The uses of Industrial-IoT constantly proved its versatility with deployments across various industries within the same trade, showing off dozens of different use cases. But there are few important use cases that are being used constantly within the same trade irrespective of its industries.
Here we have clubbed top Industrial IoT Use Cases:
Real-time tracking assets:
These tracking assets enable the business processes to provide information about the status of equipment, devices as well as performance. These real-time tracking assets include- Industrial machinery, fleet management, and the products of raw materials.
These tracking assets facilitate effective demand planning, which helps in minimizing the burden on manufacturers and prevents disruption of supply.
The main goal of real-time tracking assets is to enable an organization to locate easily and monitor key assets along the supply chain. These assets include final products, containers, and raw-materials to detect theft and quality issues, maintain inventory levels and optimize logistics.
In Industrial IoT, the organizations that rely on transportation such as, the business process and fleet management help them remove or minimize the risks associated with productivity. These are effected by reducing transportation and staff costs, improving efficiency and vehicle investment process.
For example, tracking assets is being used by cities for waste management purposes to collect garbage in various environments. Shipping services use efficiency algorithms and real-time traffic feeds to deliver packages efficiently with less dependence on drivers and on vehicles.
The installation base of this fleet management system in industrial IoT totaled 5.9 million at the end of 2015. By the period from 2015 to 2020, the market is expected to grow at a 17% annual growth rate. The research report said that the active number of systems(fleet management) in Latin America expects to increase from 2.3 million to 4.1 million during the period 2015 to 2020.
In predictive maintenance, protecting assets up and running has the potential to decrease the operational expenditures significantly. It also saves millions of dollars to companies. In Industrial IoT, predictive maintenance detects the unusual patterns of the use of cameras and sensors, which predict the failures in future for a better maintenance program.
These Industrial IoT systems can enable service data equipment and give warning signs before any problem.The organizations that lack the capabilities to monitor and evaluate the data onto different machines and processes often fail to implement performance optimization, that is necessary to reduce the risks of sudden failures of the machine.
According to Silicon Labs, Smart metering is an internet capable device that measures water, energy and natural gas consumption of a home or building.
Normal meters measure only total consumption, but smart meters also report how much of resources are consumed.The power organizations deploy smart metering to monitor the usage consumption and adjustment of prices according to the time of the season.
The benefits of smart metering include- minimum power consumption, optimized distribution of energy and action to demand loads shifting.
According to Sierra Wireless, Smart Metering also assists the following utilities:
- Reduces energy theft
- Improves customer service through segmentation and profiling.
- Simplify the tracking of renewable power and monitoring of micro-generation.
- Improves streamlines of power-consumption and forecasting.
- Reduces the operating expenses manually.
In Industrial Internet of Things, Network monitoring becomes both the challenge and opportunity for manufacturers. In this monitoring system, the network devices are increasingly capable of transmitting the presence of data, usage, and state...etc
The network monitoring challenging process becomes more different, and this equipment is vulnerable to hacking and cyber-attacks.Thus organizations need to build and deploy highly-developed monitoring systems that are compatible with a diverse range of devices, which can detect failures and intrusions at the same time.
In Industrial Internet of Things, network monitoring system plays a key role in a wide range of machines, connected equipment and as well as other devices.These monitoring systems will be able to support protocols like IpV6, UDP etc which are communicated to a huge amount of data.The status of network monitoring has a positive correlation with the proactive planning of security and capacity.
Remote asset monitoring:
In Industrial Internet of Things, remote monitoring helps to improve security, safety, utilization, and energy management. It allows the measurement of different parameters like the presence of toxic gases and air quality inside the manufacturing plant. It also improves temperature monitoring for storage and pharmaceuticals.
In Industrial Internet of Things, remote monitoring can be established by locating sensors which are wireless all the way through the workshop and combining them via an Internet gateway. Integration of these sensors with the cloud to monitor humidity, temperature, noise parameters allows seamless transport of data to a study environment. The data in the remote monitoring can be accessed to take real-time actions a step further.