This module organizes planned maintenance activities while also detecting failure possibilities in advance with predictive maintenance algorithms.
This module analyzes the performance of devices on the production line and their past failure records to predict maintenance needs, minimizing operational interruptions and increasing production efficiency. It plays a critical role in minimizing unplanned downtime, especially in complex and high-cost production lines.
It constantly monitors the data coming from the devices in the production line and creates instant alerts when the specified thresholds are exceeded. The aim is to ensure early detection of possible faults and quality deviations and rapid intervention.
Features
Alarm Definition
Threshold values are assigned to critical parameters such as temperature, pressure, and energy consumption for each device, sensor, or control system. How the system will react if these values are exceeded is determined by scenarios.
Event Triggering and Detection
Data occurring on the production line is monitored instantly. In cases where the specified threshold values are exceeded, the system automatically triggers events and the alarm process is initiated.
Instant Alert Notifications
When an alarm occurs, a warning is sent to pre-defined relevant persons via SMS, e-mail or mobile application. Thus, the production process is managed without interruption with rapid intervention.
Alert Recording and Reporting
Each alarm condition is recorded in the system along with the time and duration of occurrence. By analyzing this data, recurring problems can be detected and preventive strategies can be developed.
It instantly detects malfunctions and unplanned stoppages in equipment on the production line and informs the relevant people for rapid intervention. The aim is to ensure production continuity and minimize losses caused by malfunctions.
Features
Fault Detection Mechanism
The performance of the machines is constantly monitored through sensors and control systems located in the production line. When a fault occurs, the system automatically detects and records this situation.
Downtime Cause Analysis
Systemic or operational reasons for downtimes are analyzed. Data such as downtime, device type and environmental conditions are evaluated to determine the root cause of the failure.
Emergency Intervention Instructions
Standard intervention instructions for detected faults are automatically transmitted to the operators' screen by the system. Thus, the first intervention is carried out quickly on the production line.
Notification to Maintenance Teams
For critical failures, the system automatically assigns tasks to the maintenance unit. Task assignments are managed in a way that can be monitored from the system, together with device name, failure type and priority information.
It provides instant monitoring of critical parameters determined during the production process. The aim is to keep variables such as temperature, pressure, humidity that affect production quality under control and to provide immediate intervention in risky situations.
Features
Critical Parameter Identification
Important parameters such as temperature, pressure, humidity, energy consumption that may affect quality and safety in the production line are defined and made traceable in the system.
Dynamic Threshold Value Determination
Dynamic threshold values are defined for each parameter, either fixed or variable according to production conditions. In this way, alarm systems work more sensitively and production-oriented.
Threshold Value Exceeding Notification
When the specified parameter values go outside the limits, the system automatically supports immediate intervention by sending an e-mail, SMS or application notification to the relevant personnel.
Recording and Trend Analysis
All alarm and warning data are recorded by the system. These data are analyzed with graphical reports to allow the trends of quality deviations over time to be examined.
It aims to reduce the risk of failure and extend the life of equipment by predicting the maintenance needs of devices in advance. Maintenance periods are planned by analyzing device data and relevant teams are informed in a timely manner.
Features
Maintenance Planning
Regular maintenance periods are defined for devices according to manufacturer recommendations or usage intensity. The created maintenance schedule is associated with the relevant devices in the system.
Maintenance Reminder Notifications
When the scheduled maintenance period approaches, the system automatically sends a notification to authorized maintenance personnel. In this way, periodic maintenance is carried out without any disruption.
Emergency Response Notifications
When device performance data falls below specified critical limits, the system calls the relevant maintenance teams for emergency response. This helps prevent production interruptions.
Maintenance History Reporting
All maintenance operations performed are recorded in the system with details of date, duration, applied operation and responsible person. This data is used in device-based maintenance performance analyses.
It ensures rapid response to emergencies that may occur in the production facility and safe evacuation of employees. It works integrated with alarm scenarios, intervention plans and guidance systems.
Features
Defining Emergency Scenarios
Scenarios for potential emergencies such as fire, gas leak, power outage or chemical leak are defined in the system. Trigger conditions and actions to be taken are determined for each scenario.
Notification to Emergency Response Teams
When the scenario occurs, the system sends an instant notification to the defined response teams via SMS, e-mail or siren. In this way, a fast and coordinated response process is initiated.
Evacuation Planning and Guidance
In case of emergency, visual (light guidance) and audio announcement systems are activated within the building. Employees are directed to the shortest and safest exit route.
Recording and Reporting
All emergency events are recorded in detail in the system. Evacuation time, response effectiveness and security actions are analyzed and reported.
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