Benefits & Use Cases of IoT Sensor Data
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7 min read

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13 Apr 21

Benefits & Use Cases of IoT Sensor Data

Sensors are used to measure almost any part of the real universe. Log, visualize, integrate data, store it in database - everything wirelessly!

What is IoT sensor data?

The output of a system that senses and responds to some kind of information from the physical world is called sensor data. The output may be used to direct a process or provide information or feedback to another machine.

How to collect sensor data?

Sensors are used to measure almost any part of the real universe. Sensor tuning allows them to be adapted to application-specific purposes, allowing them to accurately calculate motion, temperature, humidity, pressure, proximity, level, acceleration, angular rate, and air quality. Sensor data logger is collecting information related to a specific job so that the data can be used to optimize processes in order to save money or increase performance.

Sensors are linked together by gateways, which enable them to send captured data to a cloud server. The information is then forwarded to your computer or mobile phone, giving you immediate access to all the equipment you are tracking in your operations.

The data is then cataloged, labeled, and stored by individuals with the assistance of machines in order to search for patterns and developments related to the expected process change, offering broad visibility into the surrounding world.

Continuous monitoring of the associated metrics allows for processes to be optimized over time.

Benefits for Business

Easy to Predict Maintenance

Maintenance creates major headaches for businesses and this is where the equipment needs to be repaired. It implies that they are unable to contribute to the job cycle. The business is losing money minute by minute. If there are serious problems with the machine, the manufacturer would have to scramble to increase production speeds to satisfy demand.

Predictive maintenance is the practice of making repairs to machines until it fails, rather than waiting for it to malfunction. To put it another way, the computers are fixed long before they break down. The benefit of these actions is that the likelihood of the equipment being completely inoperable is low.

Sensors offer useful feedback on the machine's location on a scale that was previously unattainable for conventional machines.

Increasing Efficiency

The outcome produced by an individual per effort is referred to as efficiency. The productivity factor rises as more data are obtained with the same amount of effort. Another way to boost efficiency is to cut down on losses - money, time, and energy. By refining current systems, the IoT sensors assist companies in increasing their productivity. The customer now has a full understanding of how well the system performs thanks to smart computers and sensors.

It’s possible to reduce additional costs when optimizing core operations by understanding how the system consumes resources. Smart machines will relay all of the information of how they work, including how long they were working and when they were interrupted.

Improving Uptime

One of the benefits of having computers that run well around the clock is that the enterprise can keep its uptime higher. It is common sense that the longer machines work, the higher their productivity. Companies are attempting to improve uptime in a variety of ways, and IoT sensors offer a more intuitive way to do so through maintenance planned ahead of time and system monitoring.

The ultimate aim is to keep the plant or industry running at maximum productivity while avoiding vital equipment faults.

Enhancing Security

It is possible to avoid industrial injuries by using alarms and continuous supervision of man and machine. With data streaming in and alerting operators to a defective machine or an overheating component, it is possible to take the appropriate precautions to protect staff and the equipment until a crucial stage is reached.

Preparing For the Internet of Things Revolution

Sensors are key for the advancement of factories, and data access is the first step in the smart factory transformation. As manufacturers collect more and more detailed information, they need to figure out how it can be accessed to inform business decisions quicker and automate maintenance processes. Since the beginning of the Fourth Industrial Revolution, Moicon develops products that connect all the pieces together, to form a 3D visual representation of factories inside of the web browser. Sensor data visualization takes big part in understanding your obstacles. Using a secure connection between the Amazon servers and sensor data, we help companies gain a deeper understanding of their factory and its processes. It's not a stretch to say, that putting more focus on gathering equipment data with the help of IoT sensors will help the businesses grow in the coming year and beyond.

Sensor Hardware - Small, Yet Powerful

The data logger has a sensor that collects data and a computer chip that stores it. The data from the data logger is then passed to a server for review.

The Nordic Thingy:91 is an easy-to-use battery-operated prototyping platform for cellular IoT using LTE-M, NB-IoT, and GPS. The kit is packed with a multitude of sensors for motion, impact, air quality, and much more. It comes complete with a global use SIM card that has a free 10 MB data plan to get you up and running immediately.

Multi-sensor cellular IoT prototyping platform

Multi-sensor cellular IoT prototyping platform

Transmit sensor data wirelessly

The Nordic Thingy:91 comes complete with a global SIM card from iBasis that has a free 10 MB data plan to get you up and running immediately. It's an easy solution to transmit sensor data wirelessly.

Nordic Thingy blueprint

Nordic Thingy blueprint

For more information Read More

Sensor data integration

Since sensor data is gathered 24/7, it's critical to have a reliable integration framework in place so you can make data-driven whenever you need to.

1. Digitalization of Your Facility

Moicon's phases in Digital Twin implementation

Moicon's phases in Digital Twin implementation

You need to send us all of the necessary reference files, such as floor plans, photos, or even videos - anything that could help us understand what you intend us to create. We set up your Digital Twin environment in the cloud and send you a ready project for review - directly in your web browser. It’s fast, easy, and affordable.

How long does this phase take?

2 - 4 weeks*

*Please note - time may vary due to the complexity of your facility. more information upon inquiry. Send us an email today!

2. IoT Sensors Setup

Visualize your data coming from the sensor.

There are two ways:

  • Visits from our team take place at your facilities
  • You follow our guidelines and do it yourself

The sensors we use can detect motion, temperature, humidity, pressure, proximity, level, acceleration, angular rate, air quality, and much more.

How long does this phase take?

1 - 2 weeks*

*Please note - time may vary due to the complexity of your facility

3. Your IoT implementation is ready!

Data flows in real-time

Generate data

Measure the results

Also, be sure to check out How Moicon helped the Bakery Holmen Crisp improve KPIs and increase ROI.

Radosław Wachol

by Radosław Wachol

Tech Operations Lead


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The digital twins can predict failures before they affect or damage the products. They empower the manufacturers with instant troubleshooting by adjusting the parameters along the production line in the twin.