With this technology, the factory will no longer stop accidentally
What is the loss of the business that is not in the expected downtime? To car manufacturing, for example, hundreds of robots in a workshop collaboration production, if a shutdown, it will cause the entire production line paralysis. It is estimated that the vehicle factory in the event of an unexpected shutdown, the average will produce more than 20,000 US dollars per minute loss.
In addition to stable and reliable production equipment and timely maintenance, the use of Internet of Things technology to enhance the efficiency and stability of the production line is the future direction.
Through the Internet of Things, the production workshop of the underlying equipment all connected to the network which, and then through the cloud to collect and analyze the data, so that production managers can monitor and monitor the real-time equipment in the field of the operation of the scene, thereby enhancing the level of on-site production management and effectiveness.
In order to reduce downtime and increase production efficiency, FANUC and partners - Cisco jointly developed the "Zero Down Time" zero stop function, ZDT use of Internet of things and large data technology to prevent the downtime is not expected.
As of last year, ZDT has provided services to thousands of FANUC robots around the world, including more than 20 plants in General Motors, and ZDT has succeeded in shortening production downtime for GM and effectively improving equipment efficiency (OEE). Because of this, ZDT has also been awarded by the GM 2016 Supplier Innovation Award.
ZDT collects the robot data and analyzes it, and detects the abnormality of the robot mechanism and the control device before the robot fails, and reminds the user to carry out the maintenance and repair before the shutdown occurs, thus avoiding the loss caused by the sudden shutdown. The test items include:
Robot mechanism state (reducer diagnosis, motor torque detection, servo power failure recording, etc.)
Processing status (robot running status, visual inspection results, welding information, program modification records)
System status (alarm information, memory usage)
Maintenance status (oil, battery replacement)
Users can also through the PC, mobile phones and other mobile real-time view of the robot working status, production information, diagnostic information and maintenance plans.
What is the loss of the business that is not in the expected downtime? To car manufacturing, for example, hundreds of robots in a workshop collaboration production, if a shutdown, it will cause the entire production line paralysis. It is estimated that the vehicle factory in the event of an unexpected shutdown, the average will produce more than 20,000 US dollars per minute loss.
In addition to stable and reliable production equipment and timely maintenance, the use of Internet of Things technology to enhance the efficiency and stability of the production line is the future direction.
Through the Internet of Things, the production workshop of the underlying equipment all connected to the network which, and then through the cloud to collect and analyze the data, so that production managers can monitor and monitor the real-time equipment in the field of the operation of the scene, thereby enhancing the level of on-site production management and effectiveness.
In order to reduce downtime and increase production efficiency, FANUC and partners - Cisco jointly developed the "Zero Down Time" zero stop function, ZDT use of Internet of things and large data technology to prevent the downtime is not expected.
As of last year, ZDT has provided services to thousands of FANUC robots around the world, including more than 20 plants in General Motors, and ZDT has succeeded in shortening production downtime for GM and effectively improving equipment efficiency (OEE). Because of this, ZDT has also been awarded by the GM 2016 Supplier Innovation Award.
ZDT collects the robot data and analyzes it, and detects the abnormality of the robot mechanism and the control device before the robot fails, and reminds the user to carry out the maintenance and repair before the shutdown occurs, thus avoiding the loss caused by the sudden shutdown. The test items include:
Robot mechanism state (reducer diagnosis, motor torque detection, servo power failure recording, etc.)
Processing status (robot running status, visual inspection results, welding information, program modification records)
System status (alarm information, memory usage)
Maintenance status (oil, battery replacement)
Users can also through the PC, mobile phones and other mobile real-time view of the robot working status, production information, diagnostic information and maintenance plans.
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