Industry 4.0 is one of the ten future projects initiated by the German government under the High-Tech Strategy 2020.
It refers to the use of the lOT information system to digitize data and intelligently provide the production supply, manufacturing and sales information to achieve a fast, effective and customization in product supply.
With the rapid development of new technologies, such as cloud computing, big data, mobile Internet, Internet of Things and artificial intelligence, the traditional model of manufacturing has been greatly challenged. And the innovation of new business model becomes possible.
Incomplete Data Recording Manual data input leads to error and loss.
Low level of information integration Unable to master the production schedule and orders completion dates leading to difficulties in orders management.
Inadequate equipment monitoring Frequent manual monitoring is required owing to absence of automatic warning signal.
Outdated management model Independent operation of equipment without integration with ERP and MES leads to unproductive resources.
Unintegrated function modules No integration of auxiliary machines, barcodes, warehousing, feeding, robotic hands, conveyor belts and visual identification, etc.
Lack of market insight Lack of technology and experience to accelerate the fourth Industrial Revolution
iSee is an intelligent management cloud platform based on building the lIOT for industrial plastic equipment integrating the advantages of cloud computing and big data. It can improve the controllability of the production process, reduce manual intervention on the production line, and make reasonable schedule.
It is to build an efficient, energy-saving, environmentally friendly and humanized factory to help enterprises achieve Industry 4.0.
i for IMM and Intelligent
S for Surveillance and Supervisory control
e for Electronic
e for Environment
Intelligent Surveillance Electronic Environment
To achieve objectives of quality, efficient and low—consumption production through a wise analysis and application of the collected data.
Intelligent push notification immediately transmits the production plan and alarm information to the terminal equipment.
iSee is working towards Lean Production and standardized assessment through a management of productivity of machines and workers.
Device analysis: Name and status of device, production progress, parameters, utilization rates, completion rates and status of the auxiliary machines, etc.
Comprehensive panel, SPC panel, NC panel, status panel, production panel
Order importing, production scheduling and tracking, production process data, basic data
Device name, status, orders, mold usage, products, target quantity, completion rates, expected completion time, etc.
Reports of SPC comparison, energy consumption analysis, scheduling, equipment utilization, failure rate, capacity and defective products, etc.
Operators scan the QR code to record the working hours, output and quantity of defective products. One person can operate one or multiple machines.
Operators can monitor machine status, output, alarm information and orders details on the mobile phones. Authorized users can be in control and make proper decisions in a timely manner.
Operators can notify the person in charge by a scan of QR code when machines are not working properly. A speedy maintenance can be done.
When it comes to the time for loading raw materials, Operators can notify the person in charge by a scan of QR code for immediate action.
Users of i See can choose to use the cloud server. The machines can be connected to the cloud platform just by one cable, which largely saves the investment cost of building a network infrastructure in the early stage and the subsequent maintenance cost.
Cloud servers can prevent attacks on app and MAC spoofing. Data is regularly backed up.
With the use of server farms, it leads to a high performance with low failure rate.
The system can monitor the status of the machine and the use of components. A timely warning of abnormalities is possible.
Automatic data migration: Data will be automatically migrated to other cloud servers when a fault is detected.
According to the research by the International MESA Association, the value broughtby MES is considerable compared to any other manufacturing software.
