Failure detection /
prediction
C: Reduction of carbon emissions
when customers produce products
Color sensorB5WC
Detects the degree of deterioration of lubricant in equipment to prevent failures and reduce production losses, resulting in reduced energy use during production.
Quantitative monitoring of equipment conditions by sensors can prevent failures before they occur. This failure prediction avoids unnecessary power consumption due to reproduction and standby power consumption during repairs and adjustments, and also extends the lifetime of equipment. Predictive maintenance is effective not only in reducing carbon emissions during production, but also in reducing costs by remotely and centrally managing maintenance, which greatly improves maintenance efficiency. For example, color sensors can quantitatively detect the degradation state of lubricant in hydraulic equipment, etc. by the change in lubricant color.
[ The value DMS provides ]
- Quantitative monitoring of equipment conditions (lubricant, etc.) prevents the occurrence of defective products, reduces unnecessary power consumption due to reproduction, and avoids standby power consumption during repairs and adjustments.
- Predictive maintenance prevents equipment failures, thereby contributing to longer equipment lifetime (reduction of disposal loss).
The deterioration state of lubricant in hydraulic equipment, etc. can be quantitatively detected by the change in lubricant color.
In the case of conventional visual inspection, the timing of replacement is delayed due to the maintenance personnel's personal judgment criteria or lack of confirmation.
Deterioration of lubricant in machine tools can cause failures. Lubricant had been subjected to visual inspection because the color of lubricant changes as it deteriorates. However, there was a problem that the timing of replacement was delayed due to the maintenance personnel's personal judgment criteria or lack of confirmation.
Color sensors can quantitatively grasp the degree of lubricant deterioration by the change in lubricant color.
By monitoring the lubricant color with a color sensor, the degree of lubricant deterioration can be quantitatively monitored by the change in color for each piece of equipment, enabling optimal timing of lubricant replacement without depending on the person in charge.
RGB output voltage ratio for petroleum product color standard sample
Furthermore, color sensors can remotely monitor each piece of equipment. By limiting the replacement of lubricant only for equipment that needs it, the burden of maintenance can be reduced, helping to optimize replacement timing and improve efficiency.
