Machine Data Collection
Manufacturers use automated manufacturing equipment (CNC machines) to improve manufacturing processes and increase efficiency. These machines are capable of producing large quantities of products. Machine data collection ensures that your shop floor gathers accurate data to improve your operations.
But they require input about specific programming information to run efficiently.
This article will discuss manufacturing data collection and how machine data collection helps with data-driven manufacturing. The post will also show how Freedom AI helps manufacturers become more efficient.
What Is Machine Data Collection?
Machine data collection is the process of collecting information about machine health and operations. The collected data may be analyzed to improve manufacturing processes, increase efficiency, and make improvements.
You can use this type of software for any machine with an embedded controller or PLC (programmable logic controller). This includes CNC machines like laser cutters, 3D printers, machining centers, turning centers, grinders, etc.
At Freedom AI, we understand the value of CNC machine data collection. We help manufacturers improve their manufacturing processes and increase efficiency.
We offer a top-of-the-line machine monitoring and data collection and analytics software platform for collecting device information, analyzing it in real-time with our cloud-based analytics tools, and storing it securely.
What is Data-Driven Manufacturing?
Data-driven manufacturing is an approach that combines data analytics, business intelligence, and predictive modeling. This allows manufacturers to make decisions based on historical and real-time machine performance rather than intuition or gut feelings.
It’s a more proactive approach that helps manufacturers improve their processes in the present. It also makes it easier for them to implement new technology when it becomes available (more automation).
The machine will produce important types of data, including:
- Vibration monitoring
- Temperature readings (hot/cold)
- Pressure changes over time
- Current/voltage readings
Machine data collection software will allow the manufacturer to assess these information pieces accurately.
With this knowledge, they can make adjustments and improve their manufacturing processes. The machine’s performance may also increase due to more precise tuning or updates being made on an ongoing basis.
This is very important because it enables manufacturers to stay on top of their business. They can make data-driven decisions that impact their bottom line while also becoming more efficient and effective overall.
Benefits of Machine Data-Driven Manufacturing
As mentioned, machine data collection and monitoring can improve uptime and throughput (increase efficiency). Other benefits include:
- Reduced machine downtime for maintenance or repairs
- Reduced waste
- Informed decisions about manufacturing processes and future investment in the company’s infrastructure and resources
- No faulty data transmission
- Faster response times
But Why Not Go Manual: The Disadvantages of Manual Data Collection
Manual data collection is the process of collecting machine information by hand. It’s a great method for simple metrics and manual machines, but it has its limitations:
- Takes too much time
- Not accurate enough (human error)
- Difficult to scale up or down as demand changes
- Can’t easily analyze different aspects of your business
- Can’t predict machine performance or trends over time
CNC Machine Data Collection Types
There are two types of machine data collection:
Real-time data collection: This method monitors information as it is being collected and allows users to view the real-time readings on a dashboard or in reports.
Manufacturers can use this type of CNC machine data collection to make decisions about future operations and increase efficiency.
Batch data collection: This method collects machine information in batches, which means different times.
Manufacturers can use this software to create reports on machine performance over time (historical trends).
Techniques Used to Capture Manufacturing Data
Techniques that companies use to capture manufacturing data include:
- CNC machine integration
- PLC machine integration
- Web scraping and API access
- Mobile device connectivity (including smartwatches)
- Radiofrequency identification
- Supervisory control and data acquisition
- Remote terminal units
Freedom AI uses these and other machine data collection software to help manufacturers become more efficient.
As a leading SaaS company, we provide our clients with CNC machine data collection software for CNC machines and other equipment used in the manufacturing process.
What Are the Main Challenges of Machine Data Collection?
Machine data collection may come with certain limitations. There are some challenges to consider when implementing machine data collection in your manufacturing business:
1. Data Accuracy
The information collected needs to be accurate for it to have any value. Manufacturers often use different devices and tools that can lead to inaccurate or conflicting results. It’s important to have a single source of information that is both accurate and easy to share.
2. Data Volume
Manufacturers will often generate a large volume of data in the manufacturing process. This can be difficult to handle due to potential issues with memory and storage.
3. Data Security
The security of machine information is also essential when implementing machine data collection systems in your business. Manufacturers must find a way to protect their sensitive data from.
4. Unreliable Data Sources
Manufacturers use different tools to collect machine data, but they’re unreliable. This is why it’s so important to collect the right data in the first place – which is why you need a single source of information.
Machine Data Collection Software
You’ll also want to consider machine data collection software. It can collect accurate and reliable machine data from all devices.
This will help manufacturers implement the right kind of process improvements at the right times. That helps improve uptime and throughput while freeing up time for other tasks.
The Time for Smart Manufacturing is Now
The time is now for manufacturers to implement smart manufacturing. You need a reliable and accurate system that collects the right data at the right times so you can make informed decisions about your business.
Perhaps the most important consideration is whether your manufacturing process needs to become more data-driven.
The rise of smart manufacturing has led some companies to focus on better planning, deployment, and maintenance for their manufactured products.
This means looking beyond just production efficiency – into areas that will also benefit the customer experience even after a product leaves the factory floor.
How Can Freedom Help You?
Our SaaS platform for machine data collection offers manufacturers the following benefits:
- Easy to install and use on any device.
- Streamlined machine data collection.
- Flexible reporting and analytics tools for better decision-making on the factory floor.
Our smart manufacturing platform helps manufacturers become more efficient by giving them easy access to accurate, reliable machine data at all times. This allows you to make smarter business decisions.
Automatic, configurable, and flexible system architecture is designed to collect machine information more efficiently than ever.
Our machine data collection platform provides a single source of information for all your manufacturing processes so you get accurate results every time. It’ll help identify issues before they escalate and provide the data you need to improve your manufacturing business.
With all that said, ensure you use Freedom AI to collect machine data from your CNC machines or any other manufacturing machinery that uses PLC’s. Freedom AI is simple to use, even for employees who aren’t tech-savvy!
Freedom AI’s Machine Data Collection Software
For more information about the Freedom AI CNC monitoring and analytics software platform, contact Bill Horwarth at 513-719-1601 and [email protected]