With the development of society, manufacturing sites are facing new issues, such as the lack of skilled maintenance personnel, the aging of existing equipment, and the increase in equipment accident losses due to high value-added products. To this end, Omron relies on mature automation technology to digitize maintenance skills and IoT equipment data, and help customers solve on-site problems through predictive maintenance.
At the 2022 Online Industry Expo, Omron displayed a digital predictive maintenance prototype that reproduces craftsman security and realizes omens maintenance without relying on skilled workers through information-based components.
Topics
❶ Risk of business loss due to equipment accidents
❷ It is impossible to monitor the aging and abnormality of equipment in real time
❸ Lack of skilled security personnel
Use of the product
Motor status monitor K6CM
The status of the three-phase induction motor is numerized
■ Suitable for the use of inverter environment
■ Set thresholds to easily control maintenance time
■ Real-time monitoring through PC using software
■ Clamp-on CT that can be installed on existing equipment and subsequently
Temperature status monitoring device K6PM
Remotely and continuously monitor and diagnose the temperature status of the equipment in the cabinet,
It takes into account the labor saving and the reduction of accident risk
■ Wide-angle, compact design for optimal installation in various places
■ Predict changes in temperature rise and notify the risk of abnormal fever
■ In an environment with large changes in ambient temperature, abnormal heating of the equipment can also be predicted
■ Automatically set the optimal threshold for the temperature distribution in the complex cabinet
Application measurements
K6CM EXHAUST FAN APPLICATION
The model used in this test is K6CM-C12M (current comprehensive diagnosis) on the left and K6CM-VBM (vibration monitoring) on the right, after turning on the motor power supply, it can be found that the left motor and fan position is not offset in the normal state, the deterioration degree 1 is about 41-65, the vibration (acceleration) is about 0.09-0.10, the deterioration degree 2 is about 85-95, and the vibration (speed) is about 0.00-1.24; On the other hand, in the abnormal state of misalignment of the motor and fan on the right side, the deterioration degree 1 increases to about 61-87, the vibration (acceleration) is about 0.06-0.07, the deterioration degree 2 increases to about 153-167, and the vibration (speed) is about 0.00-1.03.
K6CM Blender Application
The model used in this measurement is K6CM-C12M (current comprehensive diagnosis) on the left, K6CM-VBM (vibration monitoring) on the right, after turning on the motor power, it can be found that under normal circumstances, the degree of deterioration 1 is about 12-15, the vibration (acceleration) is about 0.05-0.06, the degree of deterioration 2 is about 22-23, and the vibration (speed) is 0.00There is no change in (acceleration), the degree of deterioration 2 increases to about 30-40, and there is no change in vibration (speed), and the aggravation of the degree of aging can be clearly confirmed through obvious data changes.
K6CM Powder Spray Dryer Application
The model used in this measurement is K6CM-C12M (current comprehensive diagnosis) on the left, K6CM-VBM (vibration monitoring) on the right, after turning on the motor power, it can be found that under normal conditions, the degree of deterioration 1 is about 25-31, the vibration (acceleration) is 0, the degree of deterioration 2 is about 2, and the vibration (speed) is about 0.95-1.17, and after simulating the state of powder adhesion to the wall, the degree of deterioration 1 increases to about 54-59, and the vibration (acceleration) increases to 0—— 0.23, the deterioration degree 2 increases to about 45-49, and the vibration (speed) is about 1.00-1.13 without change.
Related Cases
Predictive maintenance of smoke machines in automotive welding shops
With the K6CM series, which is connected to the network, the motor status is clear at a glance. The status of up to 10 motors can be displayed at a glance, and the data of up to 30 K6CM units can be viewed.
Related Products
Heater status monitor K7TM NEW
Heater equipment is maintained after or scheduled to be upgraded, and is upgraded to predictive maintenance based on heater condition monitoring
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