Paperless, More Accurate: Automate Operational Monitoring with LogSheet

In the era of digital transformation, companies are required to enhance operational efficiency, reduce the risk of errors, and accelerate decision-making processes. One essential innovation that supports these needs is LogSheet digital.
Previously, manual recording using paper often led to issues such as lost data, difficult accessibility, and a high risk of errors. Now, with the automation of operational monitoring using LogSheet, these challenges can be effectively addressed.

This article will discuss why paperless recording systems are superior, how automation helps improve accuracy, as well as the strategic benefits that can be gained by companies through implementing LogSheet digital.

Why Is Manual Recording No Longer Relevant?

Manual Recording Issues

Read Also: Digitalization of Operational Processes with Nocola LogSheet

Before building an IoT dashboard, you need to know the main objectives of the monitoring you wish to conduct. Are you looking to:

  • Monitor production line efficiency?
  • Get real-time performance data on machines?
  • Detect potential damage early (predictive maintenance)?
  • Monitor energy use to ensure savings?

Having clear objectives will determine what parameters need to be monitored, what types of sensors must be used, and which metrics will be displayed on the dashboard. For example, if you want to monitor temperature and vibration of machines to prevent damage, then you will need temperature sensors and accelerometers.

Selecting IoT Devices and Network Infrastructure

IoT Devices

This stage includes selecting the following:

1. Sensors & Gateway

Utilize industrial sensors that are compatible with your system, such as:

  • Temperature and humidity sensors
  • Air pressure sensors
  • Proximity sensors
  • Flow meters
  • Energy meters

All sensors will be connected to an IoT gateway responsible for transmitting data to the cloud or local server using protocols such as MQTT, HTTP, or CoAP.

2. Networks Used

The type of network can be adjusted based on needs:

  • WiFi / Ethernet for indoor factory areas
  • NB-IoT / LoRaWAN / Sigfox for outdoor areas with wide coverage
  • 5G if very low latency and large data are required

Don’t forget to consider network security, including the use of SSL encryption and two-factor authentication.

Designing an Efficient and Informative Dashboard

Dashboard Design

A good dashboard is one that is easy to read, relevant, and responsive. Some design principles for IoT production dashboards include:

1. Visual Hierarchy

  • Display the most important indicators at the top or in the center of the screen
  • Use color to indicate status: green (normal), yellow (warning), red (critical)

2. Graphs and Widgets

  • Line charts for time trends
  • Donut or pie charts for comparisons
  • Data tables for logs and histories

3. Real-Time Update

  • Use websockets or push APIs so that data is always updated
  • Add instant notifications for anomalies

4. Responsive & Accessible

The dashboard should be accessible via:

  • Desktop PCs in the control room
  • Technician tablets
  • Supervisor smartphones

Integrating Backend and Data Storage

Integrating Backend

1. Cloud or Local Server

Data can be stored locally using an internal server or in the cloud using platforms such as:

  • AWS IoT Core
  • Microsoft Azure IoT
  • Google Cloud IoT

The cloud offers higher flexibility and scalability, while local servers are more suitable for high data security.

2. Database

Use time-series databases like InfluxDB or TimescaleDB to store continuously changing sensor data.

3. Backend API

Provide a RESTful API for communication between backend systems and the frontend dashboard. This API can be used for:

  • Retrieving historical data
  • Storing sensor configurations
  • Managing threshold parameters

Conclusion

Building an IoT dashboard for factory production monitoring is not just about displaying data; it is about creating a system that helps operations become smarter, more efficient, and responsive. From selecting sensors, networks, backends, to designing the right visual displays, every element must be integrated.

With an informative and real-time dashboard, factories can directly respond to Industry 4.0 challenges and enhance their competitiveness in the market. Therefore, it is no surprise that implementing an IoT dashboard is now a priority in the digital transformation roadmap in the manufacturing sector.

IoT Solutions

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