MetAlert
A solution for digital transformation in CNC metal parts machining industries through smart automation systems.
Without the ability to monitor and diagnose problems early on, factories may produce products that are of lower quality, resulting in product recalls, customer dissatisfaction, and financial losses. If problems occurring that occur on machines are not identified, localized, and addressed early ontimely, they can lead to downtime on the manufacturing line, reduced lower production rates, and revenues.
We provide a Manufacturing Line Quality Diagnosis and Smart Alerting System that has been trained and validated in CNC metal parts machining, which addresses the challenges of metallic parts manufacturing line diagnosis and maintenance.
Our solution includes the following functionalities:
- Identify the root cause of problems: The system can use machine learning algorithms to identify the root cause of problems. This can help prevent future problems from occurring.
- Predictive maintenance: The system uses machine learning algorithms to analyze the data and identify patterns and anomalies in the production process. This data can be used to identify or predict future problems before they cause significant damage to the produced products. This information can also be used to schedule maintenance before the failure of the machine, which can prevent unplanned downtime, lower production rates, and improve product quality.
- Improve data fidelity: The system can use algorithms to filter out noise and identify patterns in the data. This can help improve the accuracy of problem diagnoses.
- Recommend corrective actions: The system can recommend corrective actions to address problems. This can help reduce the time and cost of resolving problems.
- Alerts: The system will generate alerts when it detects problems. These alerts can be sent to operators, engineers, managers, or other stakeholders.