Use Cases Indoor Positioning System (IPS)

Indoor Positioning System (IPS)

Indoor Positioning Systems (IPS) are used to locate persons or objects inside buildings, as opposed to GPS which works outdoors. IPSs impact asset monitoring and automation at the enterprise level. The technology is expected to bring in integration capabilities of analytical software tools with the existing maps and navigation software.

 

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the IPS market is expected to grow from EUR 0.9 billion in 2014 to EUR 4.2 billion by 2019, at a CAGR of 36% between 2014 and 2019.

Source: SIEMENS

What is the business value of this IoT use case and how is it measured?
Your Answer

How does Indoor Positioning impact an organization’s performance?

Most facilities nowadays have some form of networking. There is minimal additional infrastructure that is needed to support this type of system. These systems typically consist of Bluetooth beacons placed throughout a facility that would emit a signal and then it looks for these signals and measures the strength and usage.

Where is the “edge” of the Indoor Positioning solution deployed?

The edge of indoor positioning may vary depending on the type of system. If it is an ultrawide banned network, it may be better in accuracy but it requires custom hardware infrastructure. If it is Wi-Fi or Bluetooth, then it may already be installed and no additional infrastructure is needed.

 

 

Who is involved in purchasing decisions, and who are the primary system users?
Your Answer

Which organizations, departments or individuals typically make the investment decisions and allocate the Indoor Positioning budget?

Depending on the organization, it can be from the leadership team, IT team or even Logistics department.

Which organizations, departments, or individuals are responsible for operating and maintaining Indoor Positioning?

Typically it is the IT department.

Who are the regular users of Indoor Positioning?

The nature of this solution is used in warehouse environments.

 

 

Which technologies are used in a system and what are the critical technology?
Your Answer

What sensors are typically used to provide Indoor Positioning data into the IoT system, and which factors define their deployment?

Depends on the infrastructure. If it is a Wi-Fi system then trackers are used along with Bluetooth to transmit data. Another common sensor is the Bluetooth Beacon which doesn't require any wiring.

What types of analysis are typically used to transform Indoor Positioning data into actionable information?

The data is used to track and locate the objects to give an accurate location.

 

What data is obtained by the system and what are the critical data management decision points?
Your Answer

How is data obtained by the Indoor Positioning?

Depending on the system it may vary. Typically if it is a Wi-Fi or Bluetooth system, trackers are placed on pallets or other objects that send signals via wi-fi to the system to identify a location.

What volume of data is expected from each deployment and Indoor Positioning as a whole?

Depends on the situation. However, if a large number of assets are tracked, then it can be a lot of data. Typically once every few seconds.

 

 

What business, integration, or regulatory challenges could impact deployment?
Your Answer

What business challenges could impact Indoor Positioning deployment?

Depending on the system infrastructure, there may be a high initial cost for installation (such as ultra-high bandwidth) or batteries.

What integration challenges could impact Indoor Positioning deployment?

One challenge that arises is whether this system should be completely isolated from their existing networks. WIth isolation, it may be more difficult to make use of the data.

What installation challenges could impact Indoor Positioning deployment?

Determining how to mount your infrastructure such as trainers or servers to support the system.

What regulatory challenges could impact Indoor Positioning deployment?

Educating the end user by making sure they are aware of all the different applications that can be derived.

 

 

Logan Wendholt
IoT Technical Lead
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