Process analysis for production facilities – without new investments

Do some of your current systems stop too often due to errors, or do you see room for improvement in cycle time? Do you think your production processes are already perfectly optimized?

The standalone version of our Learning & Analytics for Robots (LAR) software identifies problems, error cases and hidden efficiency potential in your existing robot systems and automation processes. Continuous process monitoring and detailed analysis of sensor and robot data make it easy to find optimization opportunities, e.g. for greater robustness or shorter cycle times.
For process analysis, ArtiMinds LAR uses the hardware already integrated in the production machinery and can therefore be easily retroffited at any time – without additional new hardware investment.

Objective Data Analysis with ArtiMinds LAR – Process Monitoring Benefits:

Automatic Data Acquisition &
Monitoring

Simple Troubleshooting

Real-time Data Analysis

Easy Integration & Connection of Components

Local Data Storage

Easy to Retrofit

Reduce Costs

Increase Product Quality

Focused Process Optimization

Reliable Traceability & Transparency

Process Analysis, Optimization, Predictive Maintenance & Documentation

Imagine if you could minimize your troubleshooting, repair and retesting efforts and even prevent production downtime before it occurs.

ArtiMinds LAR pursues a process-oriented approach and ensures maximum transparency. Long-term data acquisition and comparison can be used to determine wear on the workpiece, detect deviations between different product batches, uncover the causes of problems, optimize cycle times, shorten waiting times, improve quality, plan maintenance and minimize maintenance costs, and much more.

Users benefit from synchronized data reconciliation between the robot controller or PLC and the sensor components, which would be difficult to implement manually. The software uses existing process data and already integrated hardware. New investments are therefore usually not necessary.

Dive into the use cases

Continuous Process Monitoring – Without Additional Effort

What if there was hidden efficiency potential in your production facilities?

ArtiMinds LAR records all data permanently and in real time. On the one hand, this increases transparency and processes can be analyzed much more precisely; on the other hand, you will never miss the decisive moment again. Because with ArtiMinds LAR you can “rewind” at any time and retrace the chain of events that led to a problem.

ArtiMinds LAR already has extensive, preconfigured interfaces for industrial components, which greatly simplifies the connection of cameras and robots and the collection of data – without additional programming effort, e.g. via OPC UA interface.

This makes it possible to detect deviations, reduce scrap and increase component quality as well as the degree of digitalization and traceability in production.

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All Process Data at a Glance

Do you know what added value lies in your production data?

With the ArtiMinds LAR analysis software, we provide a tool with which you can gain valuable insights into your robot processes through transparent preparation and interpretation of production data to get the best out of this insights – from commissioning to running production.
Data acquisition takes place in the background, automatically and continuously. ArtiMinds LAR is able to collect a wide range of data from all available sensors, such as forces, energy consumption, hardware wear, etc., and is therefore the central monitoring point.

The software uses cloud technology, which gives you freedom during implementation: Data storage on-premises in the data center, as an edge device on the store floor or under the desk. Thanks to its web-based user interface, LAR still offers access from anywhere in all scenarios.

The added value of the LAR can also be used independently of robots. Brownfield systems can be retrofitted for this purpose with very little effort.

HARD FACTS

Hardware Requirements: IPC with SSD hard disk, locally in the cell, in your own data center or in the cloud
Operating System: Windows
Possible Network Protocols for data connection: OPC UA, Ethernet I/P, PROFINET

continuous process monitoring without additional effort

ONE Central Process Analyzing Tool | VARIOUS Applications

Use Case 1 Predictive Maintenance: Process Analysis with “On-board Tools”

In the customer’s brownfield plant, more than ten robots are involved in product manufacturing, among other things. Numerous cameras are integrated for quality assurance purposes. The customer wanted to optimize predictive maintenance.

The solution could be implemented with minimal intervention and without additional hardware integration: Using the LAR software, the customer was able to automatically compare the respective image recognition results of the cameras used with the respective process step and save them accordingly.

He created his own individual dashboard from the wide range of predefined analysis tiles in order to visualize the most important analysis data and results for him in the browser in the user front end and to have an insight into the live process data. This gave him the opportunity to observe trends and, for example, set limit values and define times at which maintenance measures should be carried out in a planned manner.

The installation of additional hardware was not necessary and therefore no intervention in the existing system was required.

Use Case 2 Welding Process: Optimizing the Cycle Time of Interacting Robots

A customer in the automotive industry was concerned with the topic of process optimization. Two robot arms were working simultaneously in a spot welding process. In order to find out which robot should ideally take on which subtasks, the first step was to determine the real waiting times and real cycle times of the two robots.

Process monitoring with ArtiMinds LAR made possible that was previously not easy to implement: digitally and automatically mapping the actual state of a system without integrating additional hardware.

With the collected and visualized data, the tasks could be optimally distributed to the two robots in the next step to optimize the cycle times of the production process.

Process analysis without programming effort

Process monitoring force measurement assembly process

Use Case 3 Assembly Process: Analyzing & Optimizing Force-controlled Joining Processes

Many applications struggle to reconcile the various process data. This is also the case with a joining process in which components are assembled in the drive train of a car. After plant commissioning the process was not yet running optimally in terms of cycle time and robustness.

The task was to find out exactly when errors occur within the many process steps. In the next step, the sensor data associated with this point in time had to be determined and related to the problem.

Here, too, the already integrated hardware was used, a force-torque sensor that had been installed to prevent collisions. The existing sensor was quickly “repurposed” to use ArtiMind’s LAR to measure the forces occurring during the joining process and correlate them with individual robot movements.

Based on the necessary adjustments calculated by the LAR, the user can optimize the process, for example by adjusting parameters or reteaching individual teach points.

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Process analy­sis for pro­duc­tion facil­i­ties – with­out new investments

Objec­tive Data Analy­sis with ArtiMinds LAR – Process Mon­i­tor­ing Benefits:

Process Analy­sis, Opti­miza­tion, Pre­dic­tive Main­te­nance & Documentation

Con­tin­u­ous Process Mon­i­tor­ing – With­out Addi­tional Effort

Get the Full Know-how

All Process Data at a Glance

ONE Cen­tral Process Ana­lyz­ing Tool | VAR­I­OUS Applications

Use Case 1 Pre­dic­tive Main­te­nance: Process Analy­sis with “On-board Tools”

Use Case 2 Weld­ing Process: Opti­miz­ing the Cycle Time of Inter­act­ing Robots

Use Case 3 Assem­bly Process: Ana­lyz­ing & Opti­miz­ing Force-con­trolled Join­ing Processes

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