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SIMATIC IT Line Monitoring System
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SIMATIC IT Line Monitoring System
Concept, Benefits and Architecture
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Concept, Benefits and Architecture
Business Issue - Facts
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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
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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
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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
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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
Optimize Production Costs
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
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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
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
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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
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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
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Machine Performance Quality Rate Machine Availability
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
Machine Performance Quality Rate Machine Availability
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
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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
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
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SIT solution
SIMATIC IT Production Suite ( Framework & Components )
Plant MES Layer
Level 0,1,2Plant ControlLayer
. . . . .SIMATIC IT
…
3rd
Par
ty S
yste
ms
Inte
grat
ion
3rd
Par
ty S
yste
ms
Inte
grat
ion
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
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SIT solution
SIMATIC IT Production Suite ( Framework & Components )
Plant MES Layer
Level 0,1,2Plant ControlLayer
. . . . .SIMATIC IT
…
3rd
Par
ty S
yste
ms
Inte
grat
ion
3rd
Par
ty S
yste
ms
Inte
grat
ion
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 Production Management
A “new” approach for “new” MIS scenarioM
ain
plan
t cha
lleng
es ..
.
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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Mai
n pl
ant c
halle
nges
...
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
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� 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
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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 IT Reporting Framework
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
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Equipment 1 ....Equipment 2 Equipment n
SIMATIC IT Reporting Framework
SIMATIC WinCCSIMATIC IT LMS
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
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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
SIMATIC IT Reporting Framework
SIMATIC WinCCSIMATIC IT LMS
PLC Interface
MES Integrated Reporting
Reporting on Multiple
ISA 95 Functionality
SIMATIC IT Platform
SIMATIC IT Line Monitoring System
Features and Benefits
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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
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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)
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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
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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
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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
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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
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� 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
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Scalability: from Line-Level LMS Reporting ...
Scalability:... up to Plant-Level Integrated MES Reporting ...
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
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Scalability: from Line-Level LMS Reporting ...
Scalability:... up to Plant-Level Integrated MES Reporting ...
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
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Scalability: from Line-Level LMS Reporting ...
Scalability:... up to Plant-Level Integrated MES Reporting ...
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
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� 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
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� 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.
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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
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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
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Key Benefits:
� Empowered root cause analysis extended to equipment subcomponents
� Centralized Alarms Reporting
� Easily configuration of machine state calculation logics
SIMATIC IT Line Monitoring System
Technical information
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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
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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
Main Functionalities:
� 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
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� 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
Main Functionalities:
� Calculation of standard and custom KPIs
� Downtime Management and analysis support
� Integration with LMS Message management
Key Benefits:
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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
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• 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
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(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
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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()
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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
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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
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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
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• 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
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• 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
LMS What ´́́́s new comparing with previous 2.0 version 2/6:
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
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• 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
LMS What ´́́́s new comparing with previous 2.0 version 3/6:
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
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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)
LMS What ´́́́s new comparing with previous 2.0 version 4/6:
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)
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• 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
LMS What ´́́́s new comparing with previous 2.0 version 5/6:
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
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• 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
LMS What ´́́́s new comparing with previous 2.0 version 6/6:
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
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• 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
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• 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
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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 √ √ * √ √
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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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siemens.com/answers
For more information, please contact:
E-Mail: [email protected]