How to Choose the Right Sensor for Your IoT Device

The choice of sensor type can have a major impact on your IoT application. A good selection of sensors will provide the most valuable insights — but considerations like cost and ease of installation may impact what data you can collect effectively.

You Want to Choose the Right Sensor for Your IoT Device

A handful of essential considerations can guide the sensor selection process. Knowing what factors to consider will let you know which sensors will be most important for your IoT application.

First Considerations for a New IoT Application

You may have a general idea of what benefits you want from your IoT application. For example, you may want to improve operational intelligence, gather more information about business processes, or enable an automated lighting system.

1.Choose a specific goal.

You will want to choose a specific goal like an asset to be monitored, a predictive maintenance strategy to adopt, or a category of site data to collect. Choosing a specific goal will help you determine what type of sensor will be most important. In any case, you’ll want to consider four key factors when deciding on which sensors to implement.

2. Cost is typically the most significant consideration.

Cost is a high consideration, and your budget and the scale of your project will determine how much you can spend per sensor. You will naturally be paring down your options again.

3. The next most important factor is your goal or KPI.

Specific sensors will be mandatory if you want to track certain metrics or create process improvements.

4. The environment may also impact the sensors from which you can choose.

Some sensors will only work in the right environment. Certain sensors may be less effective outdoors or may require features that preserve the quality of their measurements. Installing sensors underwater or in extreme conditions — like the heat of a forge — may also require similar upgrades.

5. Lastly, you should consider the quality of the sensor.

High-precision, high-accuracy sensors are desirable, but there may be little utility to paying for more accuracy than you need. At the same time, a low-accuracy sensor may yield data that does more harm than good.

Sensors for Operational Intelligence and Bulk Asset Tracking

You may need certain sensors for specific applications. Breaking down general goals into detailed sets of use cases will help you select the necessary sensors.

Better sensors can provide site staff with a more accurate reading of an asset’s location.

Having a higher quality sensor can be a good investment for facilities with high-value assets that employees need to access at a moment’s notice. For example, a hospital may want to use these high-accuracy sensors to track equipment like ventilators.

Tracking sensors in emergency situations

Similarly, a hospital implementing an automated HVAC management system may want better air quality sensors in a critical care room than in a waiting area due to the impact of air quality on patients in critical condition.

Interoperability may also be a concern with large-scale IoT applications.

Due to a lack of interoperability standards in the IoT industry, many devices may not communicate with each other or with the system you use to coordinate your IoT fleet.

Fleet asset tracking solutions

For example, fleet asset tracking solutions typically depend on GPS trackers to monitor fleet vehicles in the field. Using GPS trackers from a variety of manufacturers could make a system harder to manage.

Bulk Asset Tracking With Internet-Connected RFID Readers

When tracking items in bulk — and when real-time tracking is less critical — cheaper solutions may be just as effective as the expensive alternatives.

What about tracking at warehouses?

For example, some warehouses use a combination of RFID tags and readers to track goods as they move through the facility.

What about RFID tags?

The disadvantage of this approach is that RFID tags aren’t typically precise — you know approximately where a particular pallet of goods is. Still, you won’t know the exact location in the way you would with a GPS tracker. RFID readers can also be interrupted by certain materials.

Tracking Machine and Asset Performance

Sensor choice will have a major impact on the effectiveness of any IoT application that tracks machine health.

Machine Health

Starting with your desired outcome — better information on machine health, predictive insights into future failure, and so on.

Compressor fluids

Tracking differential pressure of the compressor’s fluids would provide additional insights but can also require pipework. Internal sensors can also pose unique challenges if IoT sensors are connected to the network via a hardwired connection.

Hardwire connections

If a network has a hardwired connection, it may be a more difficult-to-track parameter; these are like fluid pressure or lubrication temperature but may provide helpful information on machine performance.

You will want to balance the utility of information against cost.

You may decide it would be best to begin with the three motor sensors, then possibly consider scaling up in the future by adding an additional sensor to track fluid temperature.

Original equipment manufacturer guides

Your original equipment manufacturer may also have recommendations when it comes to IoT sensors.

Documents from manufacture about maintenance

Documents like manufacturer maintenance schedules and user guides can provide ideas about common causes of failure for a particular machine. Failure types like thermal shock and fatigue, for example, may indicate that you should track machine temperature and vibration with your IoT fleet.

Start with a pilot project with your own equipment

This is one advantage of beginning with a pilot project. Starting small limits the amount of data you can collect, forcing you to focus on a highly specific use case — like asset tracking or predictive maintenance — or KPI that you want to monitor.

Essential Considerations When Purchasing IoT Sensors

Getting the most from a new IoT application often depends on effective sensor choices.

The latest #news, analysis, and conversation on the #InternetOfThings