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SIMATIC IT Line Monitoring System

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Concept, Benefits and Architecture

© Siemens AG 2015 All rights reserved.

Concept, Benefits and Architecture

Business Issue - Facts


In this scenario, manufacturers are seeking ways to manage efficiently assets and operations

to increase competition in business and maximize their Return on Assets (ROA)

In the Past Shifted to Present

Fixed product portfolio Rapidly changing portfolio

Make to stock Make to order

The Paradigm Shift for F&B Manufacturers


Make to stock Make to order

Few legal requirements Many Quality & Traceability obligations

Local market guarantees marginstability

Global competition squeezes marginscontinuously

Operational visibility limited to plantGlobal benchmarking & continuousimprovement

Cheap energy & few environmentallaws

High energy costs, & sustainabilityrequirements

Plant Performance Business Objective

Plant Performance key to Business Benefits(source AMR Research)

Highest Quality (Brand Image)Reduce Variability

Lowest CostEliminate Production Waste

Highest MarginsOptimize Production Costs


Highest MarginsOptimize Production Costs

Increased Agility (Product Availability)Produce to Schedule

Effective New Product DevelopmentTime to First Packed Batch in Control

Expanded Customer BaseProduce to Specs, Ability to Manage

Change

Reduced Cost of ComplianceConformance to GAMP, HACCP

Sustainable Competitive AdvantageOrganizational Effectiveness

Plant Performance key to Business Benefits(source AMR Research)

Plant Performance

Reduce Variability

Eliminate Production Waste

Optimize Production Costs



Produce to Schedule

Time to First Packed Batch in Control

Produce to Specs, Ability to Manage Change

Conformance to GAMP, HACCP

Organizational Effectiveness

Plant Performance

Reduce Variability

Eliminate Production Waste


Operational Levers

Many Operational Levers must be tuned in order to Optimize Plant Performance

Accurate Corporate Specs

Transfer / Transformation of Specs to plant

Adjustment of Recipe based on Raw



Produce to Schedule

Time to First Packed Batch in Control

Produce to Specs, Ability to Manage Change

Conformance to GAMP, HACCP

Organizational Effectiveness

Adjustment of Recipe based on Raw Material Quality

Correct Allocation of Recipe to Order

Well Maintained Machines

Adherence to Quality Procedures

Use of closed-loop SPC

Inventory Control & Material Validation

There’s a lot of software that can help…Where to we start?

• In order to truly optimize plant performance, a significant set of software solutions must be deployed

MaterialMgt

SAP IntegrationGenealogy


Reduce Variability

PlantSched-uling

Quality Mgt

Material Flow

ControlEnergy Mgt

Recipe Mgt

Maint-enance

Mgt Reduce Variability

• Not only is this expensive for an initial investment, but it is a premature move unless the fundamentals of plant operations have been measured and the ‘slack’ taken out of manufacturing

Overall Equipment Effectiveness (OEE) is a Key Firs t Step to Continuous Improvement

• The KPIs generated by an OEE package deliver a wealth of actionable information with minimal effort

Good indication of how wellmaintenance & operationalprocedures are coordinated


Machine Performance Quality Rate Machine Availability

Good indication of resourcescheduling & logistics in the

plant

Good indicator of how welloperational & quality

procedures are coordinated

By Measuring Overall Equipment Effectiveness



Total Production Target Production Scrap Produced Total Production Operating TimePlanned

Production Time

Good Counter Bad Counter Status Time Model Reason CodesProduction

Context

By Measuring Overall Equipment Effectiveness

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Good Counter Bad Counter Status Time Model Reason CodesProduction

Context


Total Production Target Production Scrap Produced Total Production Operating TimePlanned

Production Time

Business Report

KPI Editor management

Modular Reports

SIMATIC IT Line Monitoring System (LMS)functions and components

WinCC 7.3SE Graphical pages


Operational Reports

Integrate data from 3rd party Long Term Archiving

OEE & SCADA

Reporting

WinCC 7.3SE Graphical pagesProduction Events & Alarming management

Equipment real time data / status / KPI Support for root cause analysis

Production Performance

SIMATIC ITLine Monitoring System

Level 3Plant MES Layer . . . . .

Data

Functionalities

User Interfaces

3rd

Par

ty S

yste

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Inte

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3rd

Par

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Inte

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SIMATIC IT Intelligence SuiteLevel 4Corporate Layer

Data

Functionalities

User Interfaces

Data

Functionalities

User Interfaces

Data

Functionalities

User Interfaces


SIT solution

SIMATIC IT Production Suite ( Framework & Components )

Plant MES Layer

Level 0,1,2Plant ControlLayer

. . . . .SIMATIC IT

…

3rd

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SIMATIC IT Production Management

PLC

3rd Party

SIMATIC S7 MCIS SCADA

3rd Party

Device

3rd Party

Siemens product 3rd party

SIMATIC IT LMS

SIMATIC IT Reporting Framework

SIMATIC WINCC

SIMATIC IT...with Production Management in Full MES Solutions

Level 3Plant MES Layer . . . . .

Data

Functionalities

User Interfaces

3rd

Par

ty S

yste

ms

Inte

grat

ion

3rd

Par

ty S

yste

ms

Inte

grat

ion

SIMATIC IT Intelligence SuiteLevel 4Corporate Layer

Data

Functionalities

User Interfaces

Data

Functionalities

User Interfaces

Data

Functionalities

User Interfaces


SIT solution

SIMATIC IT Production Suite ( Framework & Components )

Plant MES Layer

Level 0,1,2Plant ControlLayer

. . . . .SIMATIC IT

…

3rd

Par

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yste

ms

Inte

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3rd

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Inte

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PLC

3rd Party

SIMATIC S7 MCIS SCADA

3rd Party

Device

3rd Party

Siemens product 3rd party

SIMATIC IT LMS


SIMATIC WINCC

SIMATIC IT Production Management

A “new” approach for “new” MIS scenarioM

ain

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Integrated SCADA / MIS functions

KPI and target driven production

Centralized reporting and data storage ... solving approach

WinCC 7.3SE used for GUI’s design

KPI analysis support

Supervisor screens for entire plant monitoringDrill down to WinCC SCADA station

Automatic data collection from different LMSs

Centralized monitoring


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Potential network fail

... solving approach

Native scalability to full Manufacturing Intelligence

Machine status and alarms contextualization

Local data buffering (distributed architecture)

Drill down to WinCC SCADA station

Distributed data acquisition and data archiving

Native Localization support

Centralized monitoring

Large amount of stations PLC

Multicultural human resource

High data analysis volume

Alarms and messages analysis

Different scope of Scalability

SIMATIC IT LMS 2.2 is targeted mainly at end customers with medium / high MIS requirements

It is already prepared for upgrading MIS functionality to a full MES system

� Scalability over Functional Scope: from OEE, Reporting, up to complete ISA-95 FULL MES


� Scalability over Multiple Areas: from LMS on 1 Line, up multiple LMSs over Multiple different Lines in various Plant Areas

� Scalability on Visibility Levels and Data Management: from Line-Level LMS Reporting, up to Plant-Level Integrated MES Reporting, up to Enterprise-Level Manufacturing Intelligence

Scalability over Functional Scope

Station 1 Station 2 Station ... n


LMS

Equipment scalability

Multiple users

Equipment 10 Equipment 20 Equipment nEquipment 50 Equipment 100 ....

Equipment scalabilitySIMATIC IT LMS 2.2 licensing starts from 5 Equipment items up to 3.000

Equipment 1 ....Equipment 2 Equipment 5


SIMATIC WinCCSIMATIC IT LMS

PLC Interface

Scalability over Functional Scope

ERP Interface

SIMATIC IT Platform

Load-InWarehouse

MgtPrimary

Production MgtTank Farm

MgtSecondary

Production MgtSIT Reporting

FrameworkIntegrated Quality Mgt


from MIS and local SIMATIC IT Reporting Frameworkto a centralized SIMATIC IT full MES

Equipment 1 ....Equipment 2 Equipment n



PLC Interface

Scalability on Visibility Levels and Data Management

Manufacturing Intelligence

Global Dashboards

and Scorecards

ERP Interface

SIMATIC IT Platform

Load-InWarehouse

MgtPrimary

Production MgtTank Farm

MgtSecondary

Production MgtSIT Reporting Framework

Integrated Quality Mgt


Scalability: from Line-Level LMS Reporting ...

Scalability:... up to Plant-Level Integrated MES Reporting ...

Scalability: ... up to Enterprise-Level Manufacturing Intelligence

LMS on OEE/Downtime and Energy

Real Time Line Reporting

Equipment 1 ....Equipment 2 Equipment n



PLC Interface

MES Integrated Reporting

Reporting on Multiple

ISA 95 Functionality

SIMATIC IT Platform


Features and Benefits


Features and Benefits

Manufacturing Information System:Main Functions

� Visual representation of manufacturing plant status in real time (WinCC 7.3SE and WinCC Web Navigator)

� Fat and web clients are supported for SCADA/MIS information

� OEE KPIs for individual machines or larger lines

� Shift Calendar integration

� Reporting functionalities done using Microsoft standard products


Key Benefits:� Increase production plant availability

� View the status of the entire production plant

� Identify weak spots in the production system

� Availability of detailed pre configured graphical pages, KPI’s and reports about the production plant

� Dramatically reduce effort and risks in MIS projects

Overall Equipment EffectivenessOptimized production at any time

� Calculation of all standard & custom KPIs

� Downtime Management and Analysis support

� Line Operator production monitoring and manual data input

� Active and corrective actions (MES integration)


High Availability, Performances, and Quality… the everyday targets in our plants

� Line Supervisor “in time” analysis

� Data contextualization with the MES production data

� Root Cause Analysis at line level

� Shop floor and ERP integration (MES integration)

Overall Equipment Effectiveness:Configuration

� Equipment Model Definition

� Time Model Declaration

� Machine State List

� States & Levels

� Reason Tree


Easy and flexible engineering phases

� Reason Tree

� Counters / Design Speed

� Standard and Custom KPIs algorithms

� Equipment Attributes Management:

� Counters Acquisition

Overall Equipment Effectiveness:Monitoring and Management

� Out of the box web operator screens

� Touch Screen interface

� Short term performance check

� State declaration


Production monitoring with dedicated graphical components

� Unknown stoppage justification

� Production control compared with targets and actual state visualization

� Plant / Line / Equipment navigation

� Equipment runtime status

Overall Equipment Effectiveness:Analysis

� Downtime Management

� detailed information about equipment states can be displayed and updated

� Downtime Analysis

� exploring the causes that have generated a production breakdown


A contextualized analysis against manufacturing events

breakdown

� Production Counter Analysis

� current production can be compared with theoretical production

� On-the-fly OEE calculation

� line or equipment OEE calculation for hour, shift, or daily analysis

Overall Equipment Effectiveness:Benefit

� Providing decision support based on real time information

� Reducing downtime and rate losses by increasing / maximizing asset utilization

� Optimizing product quality grading process


� Improving operational cost control to increase plant reliability, optimize equipment utilization and maximize energy and labor efficiency

� Reducing maintenance costs by increasing plant availability and maintenance efficiency and by optimizing planning activities

� Improving economic Return on Investments (ROI)

SIMATIC IT LMS 2.2: the key component in your productivity toolbox!

Reporting Framework:Data Model views

Operational ReportsAnalysis Layer

The Data Model Views will allow Operational Reports to accesshistorical data as well as real time data




Data Model Views consist of a set of virtual tables that expose SIMATIC IT data with a a specific, library oriented, semantic

Physical Data Model

Data Model views

Reporting Services

Reporting Builder

MS Excel

Business Layer

Operational Reports are predefined reports that can be used as building blocks to develop more complex reports.

Reporting Framework:Data Model views

The Report Parts, already organized and structured in specific entities (Downtime info, algorithm, shifts, etc.), can be used to create custom reports with a standard Drag & Drop action and quickly parameterized




Personalized Reports for all users in the Plant

Different levels( Production Manager, Maintenance manager, Plant Managers, etc.) can easily generate different reports based on different analysis requirements

Analysis Tools

Reporting Framework:Analytical Model (Manufacturing Intelligence)

Analysis Layer

The Analytical Model collects measures from the Business Model Views and exposes manufacturing KPIs

Business Model views

AnalysisLayer

The Business Model collects most relevant business info from the Data Model and expose them for Business Reporting.

Analysis Tools allows users to perform Scorecards and Dashboards

Provide appropriate analytics that enable users to analyze data across sources and especially across production sitesBusiness Reports

Providing tools to create visual summaries of the data to alert decision makers and call attention to the most important information of the moment




Integration of analytical tools and visualization tools makes it possible to monitor data inreal time and inform appropriate decision-makers in case of non-conforming accident

Physical Data Model

Data Model views

Operational Reporting means detail reports providing constantly updated information.

Operational Reports are used by personnel responsible for plant/line operations

Business Layer

Operational Reports

Automate the transfer of the collected data from the plant-floor up to business systems

makers and call attention to the most important information of the moment

Manufacturing IntelligenceScorecards & Dashboards

Functionality:

Operators, team leaders, production managers


� Collects data from the plant in real-time and integrates it with business and financials

� KPI calculation, rollup and drilldown

� Covers all portfolio elements (Production, Quality, Assets, Inventory, Utilities, etc)

� Provides several levels of reporting:

� Analytics

� Excel Export

Business Benefits� Scalability from the Single Site to the Enterprise

� Access to corporate data, reports and KPIs via various devices

� Enables Continuous Improvement in the plant

� Provides rollup and benchmarking capabilities

SIMATIC IT Intelligence Suite provides to End Users simple but powerful views on their domain of responsibility

SCADA / MIS solutions: SIMATIC IT CAB Portal, Web Navigator for WinCC 7.3SE

� Web client SCADA / MIS compliant with Microsoft Internet Explorer standards

� WinCC 7.3SE screens integrated inside the SIMATIC IT CAB Portal

� Out–of-the-box screens for OEE Analysis


� Drill down to SCADA screens from MIS pages

Key Benefits:

� TCO reduction SCADA / MIS application hosted in the same client machine

� Easy to deploy graphical interfaces

� Shorten Time To Market

� Improve adaptability to change

SCADA / MIS applications: New graphical objects for WinCC 7.3SE

Adding a new object through WinCC Explorer, Plant model data are easily browsed and configured. Each object shows its configuration parameters in a WinCC 7.3SE standard way. These MIS functionality can be added to a SCADA graphical page.


Through WinCC 7.3SE Runtime all new objects are easily embedded. This allows to have a unique front end completely integrated, with the same look & feel.

WinCC Explorer as unique front end to configure your screens

Centralized Configuration:Engineering

� New integrated engineering environment

� Object oriented template based approach

� Easy to configure custom Equipment Models Catalog

� Supported XML/Excel configuration for large size projects


Key Benefits:� Support for the end user autonomous application parameterization (e.g. modification of plant structure adding new Equipments)

� Allows you to build an easily maintained plant model

� Reduce development mistakes and risks

� Extended application reusability in different projects

Alarms & Production Messages:Management and Monitoring

� Association of Alarms & Production Messages with machines status

� Support for root cause analysis

� Down Time justification extended to root cause alarm

� Graphical user interface for Alarm statistical analysis

� Centralized monitoring of active Alarms


Key Benefits:

� Empowered root cause analysis extended to equipment subcomponents

� Centralized Alarms Reporting

� Easily configuration of machine state calculation logics


Technical information


Technical information

Line monitoring and controlling – WinCC integration

Main Functionalities:

� Visual representation of the production line status via WinCC screens

� Real Time data monitoring integrated with KPIs and historical data visualization through seamless navigation between SIMATIC IT pages and WinCC screens (by means of WEB Navigator)

� Data collected locally are sent to the centralized Server for global reporting, data analisys and long term archiving


Key Benefits:

� View the status of the production line

� Identify weak spots in the production system

� Increase the availability of the production line

� Obtain statistical reports about the production line

� Line ramp-up phase support

� Native integration with SIMATIC IT Intelligence Suite

Line monitoring and controlling – Drill down from Su pervisor screens


� CAB pages are accessible from the WEB clients at plant level so to provide an high level view on the production line including production data, KPIs and alarm monitoring

� By clicking on the plant area affected by the problem, the operator can “drill down” and “drill through” until reaching the WinCC screens (locally installed on the line PCs)

� WinCC screens are in read-only mode so to prevent any unauthorized


� WinCC screens are in read-only mode so to prevent any unauthorized operation at line level

Key Benefits:

� Full monitoring of the production system according to top-down approach

� No overload of line PCs because the monitoring data are accessed from the centralized system

� No need to duplicate detailed screens available on the line PCs

� Any detail level accessible when necessary

Line monitoring and controlling – with CAB Portal sc reens


� Calculation of standard and custom KPIs

� Downtime Management and analysis support

� Integration with LMS Message management

Key Benefits:


Key Benefits:

� Decision support system based on real time information

� Operational cost improvement thanks to high plant reliability, equipment utilization optimization

� Improved ROI

LMS Modeling concept – main driving factors

• Simplify the configuration activities

• Common and consistent data model

• Object oriented configuration paradigm

• Unified configuration environment

• Enforcement of referential integrity checks

• Support project specific customization

• Data model extension

• Massive data import through unified XML/Excel files

• Easy implementation of simple configuration

environments oriented to the Customer


• Automatic Process image (RTDS) configuration

• Support RT configuration update

LMS Modeling concept – Key concepts

• Common equipment structure meta-model

• Plant structure containing the hierarchical list of equipment

• Any common characteristic of equipment instances can be grouped in “equipment models”

• Configuration data are grouped according to their function

• Configuration data related to a given characteristic of the equipment model are grouped together


(e.g. Configuration of production counters, Process value archiving parameters,…)

• Equipment instances configuration is created on the basis of the configuration data defined in the associated

equipment models

• Further equipment instance specific configuration data can be added at any moment

• Data Preprocessing functions can be associated to the Process values

• Equipment models and Data Preprocessing functions are grouped in Libraries which can be easily reused in

different projects

LMS Modeling – Logical configuration model

OEE General RegistryEquipment Instance

Eqpm Model

Eqpm Model Library

Custom Attribute

DE method Library

Project Plant Structure


OEE STT

OEE Algorithms

Alarm Registry

OEE Reason Tree Process Value Instances

Data mapping

NOTE:

Inherits configuration from the correspoding Equipment Model

Process Value

Eqpm Model

DE method parameter

DE method

Custom Attribute

OEE Config (CNT, DTM, DSP)

Alarm & messages configuration

Data archiving configuration (PPA)

LMS Modeling – Definition of Equipment models

• Each equipment model describes the common characteristics of a given “type” of equipments

• Equipment Models are grouped in Libraries• The Eqpm. Models belonging to the same library share some

common characteristicsMachine_Status: scalar

Counters[0]: Good

Counters[1]: Scrap

Counters[2]: TotalEquipment models

DE method: AlarmToStatus()


Eqpm Model Library OEE Station model

OEE Machine model

Counters[2]: Total

Cycle_time[0]: design

Cycle_time[1]: actual

Machine_Status: scalar

Counters[0]: Total

Alarms[]: Boolean

DE Function: AlarmToStatus2()

Alarms[]: Boolean

AlarmToStatus() param: Priority: int

DE method: BoolAlarmDetection()

DE Function: BoolAlarmDetection()

LMS – Full configuration generation

Eqpm. Model Library

Plant Structure

• Full configuration generation: • The plant model contains the equipment list • Each eqpm is associated the one or more Eqpm models• Full Plant model configuration is generated merging the configuration data defined in

the Equipment models with the Plant model

Equipment models:

�OEE Station model


OEE Machine model

Common configuration tool

Common configuration data

Configuration data for connecting equipments data and functions to the control layer

�OEE Station model

Equipment models:

�OEE Machine modelConfig. merge

OEE Station model

LMS – Configuration syncronization

LMS Common Engineering GUI SHC Config. data

� One configuration point

� Config. data synchronization

� Configuration data integrity

� XML configuration files

� Compatible with Excel

� Extensible structure

a


OEE Config. data

PPA Config. data

DE Config. data

RTDS Config. dataMaintenance

Config. data

Common Configuration data

Parameters for automatic generation of DE tasks:

�Message generation

�Equipm. Status calculation

�Thresholds evaluation

�Virtual Units (equipments)

�TAGs configuration

�OPC client config.

�TAGs config. (for trends)

�Messagies Config.

�Equipm. config

�Reason tree

�Detailed machine model

�Charts configuration

�Reports

PPA Plant ModelBPM

LMS Modeling – Configuration data management

The configuration data are accessible via:

• Configuration GUI

• Small projects, configuration review, limited modification to existing configuration

• Massive configuration data import tool


• Massive configuration data import tool

• XML/Excel files imported by LMS

LMS What ´́́́s new comparing with previous 2.0 version 1/6:

Centralized configurator• New look & feel according to Microsoft Office standards (enhanced usability)• Performance enhancements support of up to 3000 Equipment OEE relevant • Integration of PPA tags configuration (model based and Equipment instance based)• Integration of data mapping configuration (model based and Equipment instance based)• Integration of DE function configuration (parameter binding)• Integration of Production Modeler attributes configuration


• Integration of Production Modeler attributes configuration• Integration of “LMS status control” functionality• Extension of OEE configuration: Write Back and Control calculation refresh rate, Equipment position order, UOM

browsing, Scheduled algorithms• Support for Equipment deletion • Support for Equipment model libraries import/export• Direct access to the configuration on LMS DB (Equipment Model mode)• Multiple OEE equipment models associated to the same equipment instance• Plant structure import via file (incremental import supported)• Export of LMS plant model to production Modeler (upscaling scenario support )• Enhanced diagnostic in order to detect configuration errors


Data Engine

• Support of explicit association of ‘C’ functions to Process Values

• Support for OEE raw data generation (custom ‘C’ code required)

• Support for PPA Context data generation (custom ‘C’ code required)

• Support of process variables not mapped in RTDS


• Support of process variables not mapped in RTDS

• Support of global ‘C’ variables

• Support of user defined events generation

• Enhanced support for custom alarm management logics (less custom code necessary)

• Support of drill-down navigation in the Plant Model from ‘C’ functions


Alarm and message Management• Support of logical and physical data deletion of alarm descriptions• Support of custom programmatic logics for configuration of alarm registry (public APIs)• Support of very high number of configured alarms (up to 1.500.000, 2 languages, 80 char lenght)• Support of high number of Active alarms viewers distributed on the network

Alarm Graphical Controls


Alarm Graphical Controls• Support of connection to multiple LMS instances from the same WinCC screen• Public scriptable APIs for programmatic interaction with the graphical controls from WinCC script• Support for configuration of visible columns and related order• Custom filters support on Active alarm viewer

Miscellaneous• Configuration import and synchronization – Performance enhancements for proper support of huge configurations• PPA – enhanced thresholds management (support of 2 and 4 thresholds both static and dynamic)• PPA Trend Viewer – support of 4 thresholds (both static and dynamic)


WinCC integration

• Support of both WinCC 7.2 and 7.3SE

• Automatic configuration of PV acquired by Data Manager (RTDS data mapping + DM external tags)

• Support of OEE Write backs on array

• Support of Write back for any PV (e.g. For PV calculated by DE functions)


• Support of Write back for any PV (e.g. For PV calculated by DE functions)

• Support of user defined logic for generation of Data manager tag name

• Optimized data mapping for PV acquired by Data Manager (on Advise management, Array of Scalar)

• Support of on data change trigger of DE functions for PV acquired by Data Manager


WinCC integration• Control calculation dedicated to OEE graphical controls (reduced load on OEE Server)• RT caching of control calculation and current status for OEE graphical controls• KPI calculation update in case of working shift disabling/enabling• Current equipment status evaluated in any OEE calculation which involves machine state• Configurable cycle time for control calculation and write back• Shift Calendars breaks processed as dedicated time categories


• Shift Calendars breaks processed as dedicated time categories• Support of new data types for custom fields (Short and Float)• Automatic conversion of Cycle time in speed (direct acquisition of cycle time data)• Support for direct OEE raw data input via Data Engine• Support for calculations which involve very huge raw data quantities (optimized memory usage)• High performance enhancements in data archive and KPI calculation thanks to several improvements:

• Refactoring of data archive and data retrieving subsystems• Refactoring of calculation engine• Optimized recalculation of OEE KPI invalidated by modification to archived OEE raw data


WinCC Graphical Controls• Support of connection to multiple LMS instances from the same WinCC screen• New control for connection status diagnostic• Integration of standard colors and font pickers in all widgets• Public scriptable APIs for OEE KPIs data access from WinCC scripts• Public scriptable APIs for access in RD/WR mode to DTM record from WinCC scripts (Justification)• Support for Alarm justification management


• Support for Alarm justification management• New control for CTR records• Public scriptable APIs for access in read / write mode to CTR record from WinCC scripts• New control for Induced Downtime records• Run time performance enhancements• Public scriptable APIs for access and filter Equipment Tree Control• Extension of time interval to the previous shifts (with limitation on the max number of shifts in the past)• 5+1 Languages support

LMS 2.2 – main limitations

Engineering features:

• Some OEE registry data still to be configured in OEE:

• Reason tree, State Transition Tables

• Custom Algorithms

• Charts


• The equipment instances cannot be associated to equipment models belonging to different libraries

• Equipment instance configuration cannot be extended adding PVs not defined in the associated equipment models

• No equipment renaming support (the equipment must be replaced with another one)

• No “one click” procedure for managing Backup and Restore of a complete LMS project (included CAB screens)

• Some documented manual steps must be executed

Line Monitoring System Production Suite Reporting Fr amework

LMS 2.2 V6.7SP1 HFC2 2.2 SP2

SIMATIC IT LMS and SIMATIC IT Production Suite


Operating System Data Base Web Browser

MS Windows Server 2008 R2 SP1, 2012 R2, 7 and 8 (64 bit (versions)

MS SQL Server 2012Microsoft Internet Explorer 8, 9,

10 and 11 (only in Enterprise Mode)

Business Use Cases

LMS 2.2 New Configuration

Paradigm

LMS 2.2 ClassicConfiguration

Paradigm

Brand new project √√ √√

Version upgrade of existing project from SIT 6.5 √ √ * √ √


Version upgrade of existing project from SIT 6.5 √ √ * √ √ Upgrade of existing project from LMS2.0 √√ √√

* Project needs rework

Thank you for your attention!

For more information, please, visit our website:

www.siemens.com/simatic-it

For more information, please contact:


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For more information, please contact:

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