ddsf:public:applications:manufacturing
Differences
This shows you the differences between two versions of the page.
| Both sides previous revision Previous revision Next revision | Previous revision | ||
|
ddsf:public:applications:manufacturing [2019/05/17 14:57] nick |
ddsf:public:applications:manufacturing [2021/07/14 15:55] (current) murphy ↷ Links adapted because of a move operation |
||
|---|---|---|---|
| Line 1: | Line 1: | ||
| ====== Manufacturing ====== | ====== Manufacturing ====== | ||
| [[ ddsf:public:applications:start | Return to Applications ]] | [[ ddsf:public:applications:start | Return to Applications ]] | ||
| + | |||
| + | | Create a Case Study **WWW WWW...** (e.g., My NASA Project ) -> | {{NEWPAGE>ddsf:public:applications:manufacturing#pagetemplates:casestudy }} | | ||
| + | |||
| ===== Real-time Data Collection and Performance Monitoring of Legacy Equipment Condition ===== | ===== Real-time Data Collection and Performance Monitoring of Legacy Equipment Condition ===== | ||
| Line 11: | Line 14: | ||
| powers ADLINK's DEX Series to execute full-process data exchange among devices, | powers ADLINK's DEX Series to execute full-process data exchange among devices, | ||
| thoroughly integrating network connection and data transmission/control in | thoroughly integrating network connection and data transmission/control in | ||
| - | existing equipment and systems using MES or SCADA integration. | + | existing equipment and systems using [[ddsf:public:guidebook:06_append:glossary:m:mes]] or [[ddsf:public:guidebook:06_append:glossary:s:scada]] integration. |
| Line 18: | Line 21: | ||
| ===== Edge computing accelerates real-time decision making and Supports proactive maintenance ===== | ===== Edge computing accelerates real-time decision making and Supports proactive maintenance ===== | ||
| With implementation of Industry 4.0, vibration analysis algorithms supported by | With implementation of Industry 4.0, vibration analysis algorithms supported by | ||
| - | cloud server architecture enable easy prediction of potential problems to adopt | + | cloud [[ddsf:public:guidebook:06_append:glossary:s:server|server]] architecture enable easy prediction of potential problems to adopt |
| preventive action. As well, equipment maintenance or replacement can be executed | preventive action. As well, equipment maintenance or replacement can be executed | ||
| preemptively, significantly enhancing efficiency. ADLINK's innovative equipment | preemptively, significantly enhancing efficiency. ADLINK's innovative equipment | ||
| - | status monitoring edge computing platform delivers complete and comprehensive | + | status monitoring [[ddsf:public:guidebook:06_append:glossary:e:edge|Edge Computing]] platform delivers complete and comprehensive |
| data acquisition, analysis, and upload. The real-time analytics can be sent to | data acquisition, analysis, and upload. The real-time analytics can be sent to | ||
| - | the data center, by upload to the cloud and fast connection to the ERP/MES upper | + | the data center, by upload to the cloud and fast connection to the ERP/[[ddsf:public:guidebook:06_append:glossary:m:mes|MES]] upper |
| layer application system. Effective dynamic preventive maintenance strategies | layer application system. Effective dynamic preventive maintenance strategies | ||
| can be generated according to machine operation status in real-time, improving | can be generated according to machine operation status in real-time, improving | ||
| Line 29: | Line 32: | ||
| Source: [[https://www.adlinktech.com/en/EquipmentConditionMonitoring.aspx | Adlink: Equipment Condition Monitoring]] | Source: [[https://www.adlinktech.com/en/EquipmentConditionMonitoring.aspx | Adlink: Equipment Condition Monitoring]] | ||
| + | |||
| + | ===== Intelligent edge computing supercharges smart manufacturing ===== | ||
| + | Al implementation in [[ddsf:public:guidebook:06_append:glossary:e:edge|edge computing]] enables easy implementation of normally | ||
| + | difficult production tasks such as customized quality inspection, detection | ||
| + | of minute irregularities in textured surfaces, and labeling recognition for | ||
| + | irregularly stacked cargo. [[ddsf:public:guidebook:06_append:glossary:m:machinelearn|Machine learning]], cognitive services, image | ||
| + | processing analysis, and other complex information management tasks can | ||
| + | be performed at the edge to make adjustments in real time, Production | ||
| + | equipment, unmanned vehicles, and complex robotics benefit from the | ||
| + | increased stability, reduced [[ddsf:public:guidebook:06_append:glossary:l:latency|latency]], and enhanced efficiency provided | ||
| + | in FoF operations, with accuracy increased through continuous training | ||
| + | and significantly reduced development time. | ||
| + | |||
| + | Source: [[https://www.adlinktech.com/en/AI-enabledMachineVision.aspx | Adlink: AI-enabled Machine Vision ]] | ||
| + | |||
| + | /**=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=- | ||
| + | /* To add a discussion page to this page, comment out the line that says | ||
| + | ~~DISCUSSION:off~~ | ||
| + | */ | ||
| + | ~~DISCUSSION:on|Outstanding Issues~~ | ||
| + | ~~DISCUSSION:off~~ | ||
ddsf/public/applications/manufacturing.1558119455.txt.gz · Last modified: 2019/05/17 14:57 by nick
