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In the era of digital transformation, companies are challenged to improve operational efficiency, reduce the risk of errors, and accelerate decision-making processes. One of the essential innovations that supports these needs is Nocola’s Digital LogSheet.
If manual recording using paper previously led to issues such as lost data, poor 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, and the strategic benefits that companies can gain from implementing Nocola’s Digital LogSheet.
Contents
Why Is Manual Recording No Longer Relevant?
Read Also: Digitalization of Operational Processes with Nocola LogSheet
Before building an IoT dashboard, it’s important to understand 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?
Clear objectives will determine which parameters need to be monitored, the types of sensors required, and the metrics to 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
This stage includes the selection of:
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 that is 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 extensive coverage
- 5G if very low latency and large data needs 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
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 any 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
1. Cloud or Local Server
Data can be stored locally using internal servers or in the cloud using platforms such as:
- AWS IoT Core
- Microsoft Azure IoT
- Google Cloud IoT
The cloud offers more 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, and 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 has become a priority in the digital transformation roadmap in the manufacturing sector.
