DomsDynConnectHandler 197 DomsEventHandler 196 DPUTLIMIT1 56 DPUTLIMIT2 56

dtp 98, 199 dtp.bat 100

Dynamic Connection Handler 197, 198 dynamic T-ORB/client application 197

DYNAMIC_CONNECT 52

E

environment variables 21

EVENTCONTROL 53 EXPORT 185

external openUTM application 96

F

fault tolerance 31

FOREIGN_APPLICATION 53 FOREIGN_APPLICATION_NUMBER 53

G

G_Exception 5 generators 29 Generic++ 10 GINA 1

documentation 2 gina.config 179, 181, 198 GINA.CONFIG.TP_application_name 101 gina.dynamic 98, 100, 197 GINA.TP_application_name.KDCA 101 GINA_DYNAMIC 197

GINACONFIG 21, 98, 100, 198 GinaRoot 97, 99, 101 GinaRoot.c 97, 99, 101 GRANT 194

H

HOST 54, 159

I

idlgen 7, 29 IMPORT 55, 185

INFORMIX Dynamic Server 2000 10

INFORMIXDIR 22, 28

INFORMIXSERVER 22 initialization of the database 32 install GINA 9

Internet address 55, 160 INTERNETADDRESS 55, 160 Introductory Guide 2

IPCSHMKET 56 IPCSHMKEY 55, 56

K

-k 5

KAASHMKEY 55, 56

KDCA 98, 100, 101 KDCDF

procedure for BS2000/OSD 95 runtime variant 102

kdcdf 60, 88, 89, 94, 95, 196 kdcdf script 98, 100, 101

development variant 97, 99 runtime variant 98, 100, 101

kdcdf.bat 95 KDCFILE 98, 100, 101 KEYVECTOR 55, 160

keywords of configuration language 68, 165

L

local client 47

logging database errors 195 LU6.1 54, 62

M

make 30 manuals 2

ordering 3

MAX 56, 57, 160, 191 max 6

mdiff 5, 29 message 5 mgen1 29 mgen2 5, 29 mgendb 29 mibsDev 11 mibsRun 11

224

GINA V4.0 System Administrator Guide – September 2000

Page 236
Image 236
Siemens V 4.0 manual Dynamicconnect

V 4.0 specifications

Siemens V 4.0 is an advanced digital platform designed to enhance operational efficiency and streamline processes in various industries. It embodies the principles of Industry 4.0, leveraging cutting-edge technologies to create a more connected, intelligent, and automated manufacturing environment. This platform integrates data-driven insights and advanced analytics to facilitate informed decision-making and improve productivity.

One of the main features of Siemens V 4.0 is its ability to provide end-to-end visibility across the manufacturing value chain. By connecting machines, production lines, and supply chains through the Internet of Things (IoT), Siemens V 4.0 enables real-time monitoring and control. This connectivity allows companies to identify bottlenecks, reduce downtime, and enhance overall operational performance.

Another key technology embedded in Siemens V 4.0 is artificial intelligence (AI). AI algorithms analyze vast amounts of data generated throughout the production process, enabling predictive maintenance and optimizing production schedules. By anticipating equipment failures and streamlining operations, businesses can achieve significant cost savings and minimize disruptions.

Siemens V 4.0 also emphasizes the importance of automation and robotics. By integrating robotic process automation (RPA) into manufacturing workflows, companies can achieve higher levels of efficiency while reducing human error. This automation not only speeds up production times but also allows workers to focus on more complex tasks that require human ingenuity.

Additionally, Siemens V 4.0 supports advanced simulation and digital twin technology. Through the creation of virtual models of physical assets, manufacturers can simulate different scenarios, identify risks, and optimize design processes before implementation. This capability accelerates innovation while minimizing waste and resource consumption.

Another important characteristic of Siemens V 4.0 is its scalability. The platform can be tailored to meet the unique needs of various industries, from automotive to pharmaceuticals. This flexibility ensures that companies of all sizes can leverage its capabilities, driving global competitiveness.

In conclusion, Siemens V 4.0 is revolutionizing the manufacturing landscape through its comprehensive suite of features, including IoT connectivity, AI-driven insights, automation, and digital twin technology. By adopting this platform, businesses can transition toward more efficient and sustainable operations, ultimately preparing them for the future of industrial production.