Druck vom 24. 01.2001 17:01.09 verwsix.doc

min 6 miogen1 29 miogen2 29 MPOOL 56

N name 5

National Language Support 40 NB 56

NIS 197

NLS 40 noansi 5 nohinfo 5

O ODMG-OQL 5 OPENINFO 162 openUTM 10 openUTM client 10

operating system resources 43, 155, 184 OPERATING_SYSTEM 162

OQL 5

OwnMsgs.c 97, 99, 101

P

PCMX 99 performance 31, 33, 44 Persistency Service, generator 29 pfx file 34 PMibs::MibsFilterIt 6 PMibs::MibsSeqIt 6

port 58, 162 port number 60

PORTADDRESS 58 PORTADDRESSES 162 PRIORITY 59

public user 41

R

readme 179

Reference Guide Persistency Service 3 Reference Guide T-ORB 3

Release Notice 9, 14, 28 REMOTE 60

remote client 47, 60 replica database 195 REPOSITORY 162, 191 requirements for installation 10 Resource Manager 61 revision generation 45, 157 REVOKE 194

RMXA 61

role distribution (database administration) 194

S

SCHEDULE 61 security 194 semaphore 55 SEMARRAY 56 SEMKEY 55, 56 server application 193

servernames 21, 97, 98, 99, 100, 101, 179, 181

SERVERNUM 32 services 197 SESSION 54, 62 SESSIONPOINT 63 setting up the database 31 shared memory 55 special options 5 sqlhosts 31

START 46, 55, 57, 63 start 98, 100 START.TP_application_name 102 START_RM 64 START_VALUE 163, 191 starting GINA applications 196 stopping GINA applications 196 SYSTEM 66, 163

system resources 31

T

TA_APPLICATION 66, 163 TAC classes 59

TASKS 63 TASKS-IN-PGWT 63 tbl file 35

TNSX entry 45, 58, 60, 97, 99

GINA V4.0 System Administrator Guide – September 2000

225

Page 237
Image 237
Siemens V 4.0 manual Name, Oql

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.