Industries that want to take advantage of the latest technologies have embraced industrial IoT rapidly, leading to the technology’s quick growth.
IIoT is still comparatively new and beings some challenges, the technology can carry competitive benefits to those who build it successfully. The top industrial IoT use cases show up just how valuable these technologies can be.
IIoT implements wireless technologies in industrial settings. Most frequently, IIoT means including remote sensors to robotics or long-haul trucks, but industries can also utilize the technology for a wide range of uses. The data-driven fourth industrial revolution, Industry 4.0, depends on IIoT to monitor a wider variety of data collection and communication.
By keeping benefits and challenges in mind, here are five top industrial IoT use cases that industries receive from today:
Predictive maintenance is one of the well-known use cases for the IIoT. Industries use wireless IIoT sensor data to recognize and alert workers when a machine will require maintenance. This IIoT use case protects expensive breakdowns and not required repairs and increases machine uptime.
Executing predictive maintenance has saved some industries as much as $25 million by minimizing downtime. Any industry that depends on costly machinery likewise manufacturers, trucking companies, or construction companies could see tremendous savings from this use of IIoT.
Searching and installing the required IoT equipment to collect data precisely can take time and come with high upfront costs. Due to these challenges, smaller facilities may face difficulty in executing predictive maintenance.
GPS systems, RFID tags, and other wireless technologies can show industries where their assets are at any time. This transparency improves efficiency.
Logistics firms often use location services to track shipments and reroute drivers when any concerns arise. Warehouses, as well as manufacturing centers, can also utilize location-based IIoT technologies to show workers where exactly materials are. Real-time precise location data removes confusion and employees can search what they require faster.
Adopting more reliable, higher-bandwidth networks with wireless technologies likewise 5G can enhance connectivity but will carry extra costs.
With more IIoT devices in place, industries will have access to more workflow information. Data scientists can add the data into analytics engines that look for inefficiencies and recommend ways to optimize operations. Location data analysis can also indicate inefficiencies in the warehouse.
Likewise predictive maintenance, these IIoT applications need large pools of efficient data to be efficient. Facilities will require to implement huge IoT networks and collect data over long periods before these analytics provide useful and accurate insights. They will ultimately give a positive ROI, but that will take time to attain.
Industries such as the Environmental Protection Agency utilize IoT sensors to analyze the quality of resources and products, likewise water quality. Sensors give faster and more cost-efficient data about pollutants, which leads to faster, more effective responses. Industrial organizations that depend on quality monitoring processes can execute IIoT to the same effect.
As re mote quality analyzing is a comparatively new concept, off-the-shelf products and services don’t last for each use case. Industries may have to grow proprietary IoT technologies to estimate metrics relevant to them, which can be costly and challenging.
Carrying IoT connectivity to industrial machines, HVAC systems or anything that utilizes a lot of power can minimize energy consumption. IoT sensors can recognize peaks and valleys in energy utilization and automatically adjust operations to utilize as little electricity as possible.
Manufacturing is the well-known target for these IIoT-based improvements, but any industry that utilizes electricity can take benefit from savings.
IIoT use has proved the technology efficient in reducing energy utilization, but these savings are frequently marginal. Without mechanical updates, power optimization can only go so far in minimizing associated expenses. If industries want to gain substantial energy savings, they must adopt new technologies on top of IoT sensors.
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In most cases construction is considered as a key service and work has to continue in these tough times in spite of the fact that with severe safety requirements in place.Remote meetings, virtual inspections and a combination of social distancing safety devices are few of the technology-based solutions being acquired enabling work to move safely.
Virtual reality technology can be utilized to take virtual run-through so stakeholders can communicate with the job site workers and get an up-to-date vision of work in progress.IoT devices are utilized for real-time tracking, analyzing and measurement on the job site thus opening huge possibilities for executing AI and improving better outcomes for contractors.
Below are some ways that COVID19 is speeding up IoT adoption in the construction industry.Project Analyzing and InvestigationTo maintain social distancing, technicians and engineers should avoid visiting factories, remote areas, or any other crowded places.
Hence with the reduction in job site visits by the investigators will helps to maintain the safety of employees which improves workplace efficiency as well.Remote WorkThe coronavirus has proposed vital changes to the construction’s back offices as well.
Many work employees had to work from home depending on technology such as video conferencing, emailing and texting to stay in contact.Many organizations are now realizing that the utilization of smartphones for photos and videos to make a document of the job site will improve communication as well as reducing waste.
In this way, project success status information is shared more precisely, effectively and efficiently than when project managers are allocated to do it physically.Supply Chain ManagementWorker’s safety is a prime concern in any organization which will help to speed up the industry’s development to offsite construction methods.
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Nowadays, a majority of cold storage facilities are relying on IoT solutions to streamline the logistics process and overcome monitoring problems.
From continuous monitoring of temperature levels in the facility to efficient management of the perishable items, there are many ways in which this tech is helping out.
Continue reading to know how the implementation of IoT solutions in cold storage warehouses.Common monitoring challenges for cold storage warehouses:Product management – Managing products in a cold storage facility can be particularly challenging.
The temperature requirements for these commodities tend to vary.
Maintaining the right temperature for all the stored items is not humanly possible.
Keeping up with the industry standards – There are stringent regulations in place that cold storage units and warehouses must adhere to.
Industrial IoT solutions have been changing the way the industry works for the last few years.
We can now have real-time monitoring devices at a low cost that sends data to an algorithm on a continuous basis.
With the added power of Machine Learning, it can detect whether there is something going wrong with a machine… make a prediction.
Hakuna Matata Solutions have been providing Industrial IoT solutions for more than 15 years helping enterprises increase ROI Alastair Orchard of Siemens notes that “IoT allows us to sprinkle devices around the factory quickly and cost-effectively to find out what’s going on without going through the multiyear process of reorganizing the shop floor.”
