Solution Example (Manufacturing Industry) - Visualization of Temperature Monitoring for Paint Curing Ovens
By managing the temperature of the painting curing oven, we can understand the temperature conditions and abnormalities, contributing to the improvement of product quality.
【System Overview】 In the painting curing furnace within the factory, if temperature management is not properly conducted, variations in product quality may occur, leading to the possibility of defective products. By managing the temperature of the painting curing furnace, it is possible to understand the temperature conditions and abnormalities, contributing to the improvement of product quality. 【Configuration Image】 Monitor the temperature at multiple locations of the painting curing furnace, and if the temperature is outside the set range, an abnormality notification will be issued. By utilizing data from monthly and annual reports, traceability can be enhanced.
basic information
**Benefits and Effects of Implementation** ● Visualization of Temperature with FacilityView(R) By monitoring the temperatures at multiple locations in the painting curing oven collectively, it becomes possible to grasp changes in the temperature conditions of the oven and to aggregate and manage data. This also contributes to stabilizing product quality and reducing defects. ● Email Alerts in Case of Abnormalities Thresholds are set for each measurement value obtained from temperature sensors installed at the entrance, inside, and exit of the painting curing oven. If the values exceed the thresholds, an abnormality alert is triggered. ● Flexible Settings and Operational Changes by Administrators By using the CONPROSYS TM HMI tool, real-time temperature monitoring is possible. Administrators can set, operate, and change maps themselves.
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Applications/Examples of results
By monitoring the temperatures at multiple locations of the painting curing oven collectively, it is possible to grasp the changes in the temperature conditions of the oven and to aggregate and manage the data as a whole. This also contributes to stabilizing product quality and reducing defects.
