Industrial Internet of Things: Telling About Successful Cases

Industrial Internet of Things: Telling About Successful Cases

Next year, the number of connected devices to the Internet will grow to 34 billion, with the majority of smart objects for business and industry. And by 2021, investments in the development of the industrial Internet of Things (IIoT) alone will reach six trillion dollars. Let’s consider several cases of successful technology operation.

Where does IIoT work?

Wherever there is production. Industrial IoT solutions can be implemented in the barn and in the factory. The main goal of technology is to make complex work processes more efficient: eliminate theft, minimize downtime, improve security, or simply save electricity.

While many entrepreneurs all over the world look at new technologies with caution, preferring to cope with problems “manually”, in the European Union and the United States, large transnational companies are already automating production processes as much as possible.

this is a statement of the founders of SourceMe – the platform and B2B marketplace, which was established to make the industrial components search and purchasing process fast and effective, by connecting parts manufacturers and machine-building companies directly at the marketplace. Learn more about the service on its official website.

We explain with examples:

Case 1. Amazon

Amazon’s distribution center in Arizona covers an area of 28 soccer fields. And at such facilities, you have to look for the right goods every day, pack them and send them to customers.

To reduce the number of employees in the warehouse (who can simply get lost there), Amazon began to use drones. They deliver light loads on average in 30 minutes (and it costs the company only one dollar).

At the same time, the drones work in conjunction with Kiva industrial packaging robots. This is also the merit of the industrial Internet of things, which allows two complex systems to interact. Now robots are used in 13 out of 110 Amazon centers around the world, which has already reduced the company’s costs by 20%. When implemented globally, they can save up to $ 800 million in cost savings.

Case 2: Walmart

Walmart uses drones in warehouses to take inventory quickly. The drones take 30 pictures per second, then the information from them is transferred to the database and compared with the original data.

As a result, the system, without human intervention, generates an instant report on any indicators: how full the warehouse is, how much of a specific product is left, etc. Walmart spends one day on smart inventory; it would take a month to complete it manually.

What else do they do with warehouses?

Climate monitoring systems are connected (many goods require special storage conditions)
Distributes “smart lighting” to zones to save electricity
Determine the optimal place for products, depending on their dimensions, storage conditions and duration and free space in the warehouse – all this for one hundred percent warehouse occupancy.

Case 3: Mount Sinai

Mount Sinai, one of the largest medical centers in New York, receives up to 50 thousand patients annually. When the number of beds there grew to 1,100, a serious problem arose: the staff simply did not have time to process patient information and accommodate everyone.

It turned out that 10% of places were not profitable due to inefficient distribution of customers. Despite the fact that there were empty beds in the hospital, the queues did not end.

The problem was solved by “smart” beds: they were connected to the hospital’s medical system using sensors and controllers. Now the IoT solution prepares a report on the workload of all rooms and accommodates patients. The program can simultaneously process up to 80 applications – the waiting time has been halved.

What else do they do with hospitals:

Buy “smart” bracelets for patients that record key indicators – heart rate, temperature – and notify of critical changes
Connect all equipment to general monitoring, so you can remotely check equipment readiness, prevent breakdowns and identify downtime

Case 4. Harley Davidson

American motorcycle and military manufacturer Harley Davidson has implemented IoT solutions to track every stage of its work. With the help of sensors, all the machines were connected into a common network, through which information about each stage of the product assembly was transmitted.

In this way, the company was able to reduce downtime and minimize equipment failures. Previously, machines could break down due to high humidity or heat, but now the microclimate is controlled by “smart” sensors – up to the speed of the fans.

After all these decisions, the production of production motorcycles increased by 25%. If earlier it took 21 days to collect one Harley, now they are assembled in six hours on the basis of the SAP IT system.

How else can you optimize your plant:

  • Increase safety – fire and smoke detectors will warn of fire, leakage detectors will stop flooding.
  • Eliminate theft – the cycle of each connected machine can be easily checked for all indicators: hours of operation, the volume of product produced.
  • Analysis of the condition of each machine will prevent malfunctions