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XMPro Platform
XMPro Platform
  • What is XMPro?
  • Getting Started
    • Browser Requirements
    • End-To-End Use Case
  • Resources
    • What's New in 4.4
      • What's New in 4.3
      • What's New in 4.2
      • What's New in 4.1.13
      • What's New in 4.1
      • What's New in 4.0
    • Blueprints, Accelerators & Patterns
    • Integrations
    • Sizing Guideline
    • Platform Security
    • Icon Library
    • FAQs
      • Implementation FAQs
      • Configuration FAQs
      • Agent FAQs
      • General FAQs
      • External Content
        • Blogs
          • 2024
            • How to Build Multi-Agent Systems for Industry
            • Why Solving the Problem Doesn’t Solve the Problem: The Importance of Scalable Intelligent Operations
            • Content, Decision, and Hybrid: The Three Pillars of Multi-Agent Systems in Industry
            • Revolutionizing Manufacturing with AI and Generative AI: XMPro’s Intelligent Business Operations Sui
            • The Evolution of Skills: Lessons from Agriculture in the GenAI and MAGS Era
            • Part 1: From Railroads to AI: The Evolution of Game-Changing Utilities
            • Part2: The Future of Work: Harnessing Generative Agents in Manufacturing
            • Bridging Automation and Intelligence: XMPro’s Approach to Industrial Agent Management
            • XMPro APEX: Pioneering AgentOps for Industrial Multi Agent Generative Systems
            • Part 5 – Rules of Engagement: Establishing Governance for Multi-Agent Generative Systems
            • How to Achieve Scalable Predictive Maintenance for Industrial Operations
            • Understanding the Difference Between XMPro AI Assistant and AI Advisor
            • Part 3 – AI at the Core: LLMs and Data Pipelines for Industrial Multi-Agent Generative Systems
            • MAGS: The Killer App for Generative AI in Industrial Applications
            • The Importance of Pump Predictive Maintenance for Operational Efficiency
            • Progressing Through The Decision Intelligence Continuum With XMPro
            • The Value-First Approach to Industrial AI: Why MAGS Implementation Must Start with Business Outcomes
            • New Guide – The Ultimate Guide to Multi-Agent Generative Systems
            • The Ultimate Guide To Predictive Analytics
            • Part 4 – Pioneering Progress | Real-World Applications of Multi-Agent Generative Systems
            • Scaling Multi-Agent Systems with Data Pipelines: Solving Real-World Industrial Challenges
          • 2023
            • How to master Predictive Analytics using Composable Digital Twins
            • Accelerate Your AI Workflow: The 3 Key Business Advantages of XMPro Notebook
            • The Roadmap to Intelligent Digital Twins
            • What is edge computing, and how can digital twins utilize this technology?
            • THE TOP 5 USE CASES FOR COMPOSABLE DIGITAL TWINS IN RENEWABLES + HOW TO SUPERCHARGE RESULTS WITH AI
            • The Technology Behind Predictive Maintenance (PdM) : Hardware & Software
            • The Benefits of Using Digital Twins in Smart Manufacturing
            • XMPro I3C Intelligent Digital Twins Strategy Framework
            • The TOP 5 use cases for composable digital twins in mining – and how to use AI to supercharge result
            • The TOP 5 use cases for Composable Digital Twins in the Oil & Gas industry
            • Why Decision Intelligence with Digital Twins is “kinda like” DCS for Automation and Control
            • XMPro becomes an NVIDIA Cloud-Validated partner
            • From Reactive to Predictive : Introduction to Predictive Maintenance
            • Microsoft Azure Digital Twins : Everything You Need To Know
            • Unlocking Efficiency: The Right Time & Strategy to Launch Your Digital Twin for Enhanced Asset Manag
            • Revolutionize Your Supply Chain: How Digital Twins Can Boost Efficiency and Cut Costs
          • 2022
            • Create a Common Operating Picture of Your Operations with XMPro
            • 7 Trends for Industrial Digital Twins in 2022
            • How to Build a Digital Twin + 60 Use Cases By Industry
            • What are composable digital twins in the metaverse?
          • 2021
            • The Value of a Composable Digital Twin
          • 2020
            • Lean Digital Twin: Part 2
            • Digital Twin: Your Most Productive Remote Worker
            • From the Control Room to the Bedroom
            • Lean Digital Twin: Part 3
          • 2019
            • My Digital Twin: Digital Twin Applications for Real-time Operations (Like Me)
          • 2018
            • XMPro IoT Operational Capability Survey Results 2018
            • What is a Digital Business Platform and Why Should I Care?
            • [Robotic] Process Automation for IoT
            • 3 Patterns of Industrial IoT Use Cases
            • The CXO’s Guide to Digital Transformation – May The Five Forces Be With You
            • Is Security More Important Than Trustworthiness for Industrial IoT?
            • XMPro at bpmNEXT 2018: Watch The Presentation
          • 2017
            • The Top 5 Reasons to Invest in an IIoT Development Platform
            • IoT Business Solutions Start with Big Data & Create Business Outcomes
            • How AI Bots Bring Digital Twins to Life
          • 2016
            • How To Get Started With Industrial IoT
            • How To Overcome The Top 5 Challenges To Industrial IoT Adoption
            • What is an IoT Platform vs. an IoT Business Application Suite?
            • Industrial IoT: How To Get Started with Predictive Maintenance
            • 3 Ways The Internet of Things is Transforming Field Service
            • 7 Types of Industrial IoT Data Sources (And How To Use Them)
          • 2015
            • How Important Are Processes To The Internet Of Things?
            • Understanding the Value of Real Time KPI Management as Your Next Strategic Project
            • 6 Myths About Machine Learning
            • 10 Predictive Analytics Use Cases By Industry
            • What is a “Business Moment” in your business?
            • Does Operational Intelligence Make Business Intelligence Obsolete?
            • How To Reduce Operational Costs by 36% with Predictive Analytics
            • From Many, One – The Nature of Complex Event Processing
            • Herding Cats: What Enterprise Architects need to know about Business Process Management
          • 2014
            • Making Business Operations More Intelligent
          • 2013
            • Best Next Action Is The Next Big Thing For Intelligent Operations
            • The learns from two ‘Best in class’ organisations acquiring BPM technology
          • 2012
            • Why Intelligent Business Operations is Mobile, Social and Smart
            • Why Do You Want Intelligent Business Operations?
            • How big of a problem are ‘dark processes’?
            • Operational Risk: When You Stick Your Head In The Sand
            • The Difference Between Event-based And Workflow-based Processes
          • 2011
            • Is mobile BPM now essential to the business?
            • Stretch Socially Dynamic Processes To Fit Your Business
            • Social Listening – Get Control Of The Conversation
            • Operations Management – The Keys To KPIs
            • Benefits of BPM v 1.0
            • How to Prioritise Processes
          • 2010
            • The Business Drivers
            • Preserving Capability and Agility
            • Mobile BPM
        • Use Cases
          • Aging Pipe Predictive Maintenance in Water Utilities
          • Air Quality Monitoring For Agriculture
          • Alarm Management and Triage
          • Asset Condition Monitoring for Surface Processing Plants in the Mining Industry
          • Bogie Health Monitoring in the Rail Industry
          • Boiler Feed Water Pumps
          • CHPP Throughput Loss Monitoring
          • Casting Guidance
          • Conveyor Belt System Monitoring and Optimization in Automotive Manufacturing
          • Cooling Tower Fin Fan Monitoring
          • Cyclone/Slurry Pump Monitoring
          • Demand Planning to Reduce Stockholding in Stores
          • Demin Water Monitoring for Boiler Tube Corrosion
          • EV Battery Assembly Process Optimization for the Car Manufacturing Industry
          • Flood Prediction & Response in Water Utilities
          • Golden Batch For Culture Addition In The Dairy processing Industry.
          • Golden Batch Monitoring
          • Improve First Pass Yield (FPY)
          • Induced Draft (ID) Fan Monitoring
          • Long Conveyor Monitoring
          • Monitor Process Health to Reduce Cash-to-Cash Cycle
          • Monitor Storm Water Reservoirs For Flood Prevention
          • Monitor and Reduce Energy Consumption
          • Oil Well Maintenance Planning
          • Oil Well RTP Monitoring
          • Pipe Scaling Prediction for Roller Cooling
          • Precision Irrigation in Agriculture
          • Predict Heat Exchanger Fouling
          • Predictive Maintenance & Asset Health Monitoring For Haul Trucks In The Mining Industry
          • Predictive Maintenance For Mobile Assets Within The Mining Industry
          • Predictive Maintenance for Robotic Arms in the Automotive Industry
          • Predictive Maintenance for Wind Turbines
          • Pump Health Monitoring in Water Utilities
          • Pumping Station OEE
          • Real-time Balanced Business Scorecard (BBS)
          • Real-time Safety Monitoring
          • Short Term Inventory Planning
          • Strategic Performance & Safety Oversight for Global Mining Operations
          • Wheel and Track Wear Monitoring In The Rail Industry
          • Wind Turbine Performance Optimization
        • Youtube
          • 2024
            • Discover Gen AI Powered Operations With XMPro iBOS
            • Generative AI and Digital Twins in 2024 - XMPro Webinar
            • Go From Reactive To Predictive Operations In Water Utilities With XMPro iDTS
            • How to add Timestamps to Elements in XMPro App Designer
            • How to Build an AI Advisor for Industrial Operations Using XMPro
            • How XMPro Stream Hosts and Collections Enable Scalable, Real-Time Data Processing
            • Mind Blowing AI Agentic Operations For Industry With XMPro MAGS
            • The Ultimate Beginner's Guide To Predictive Analytics Podcast
            • XMPro's Flexible Deployment Options: Flexible Cloud & On-Premise Solutions For Industry
            • XMPro iBOS: The Only AI-Powered Suite for Scalable Intelligent Operations
          • 2023
            • 2023 XMPro Product Roadmap - Webinar
            • An Introduction To Intelligent Digital Twins - Webinar
            • Energy and Utilities Asset Optimisation through Digital Twin technology
            • Explore Model Governance using our MLflow Agent
            • Exploring XMPro Notebook and MLflow for Data Science and Model Governance
            • How Changing Properties For One Block Can Be Applied To All Blocks Within Same Style Group
            • How do I Use A Button To Update a Data Source In XMPro App Designer
            • How Does XMPro Compare To ESBs (Enterprise Service Buses)-
            • How to Configure and Integrity Check in Data Streams
            • How To Create A Widget Within XMPro App Designer
            • How to Create Intelligent Digital Twins Using XMPro AI
            • How to export grid data to Excel In XMPro App Designer
            • How to Revolutionize Your Supply Chain with Digital Twins
            • How To Rotate Text In App Designer
            • How To Update a Data Source Using A Button
            • How To Use & Clone XMPro Demos For Your Own Use
            • How To Use And Build 3rd Party Apps To Extend The Capabilities Of The XMPro App Designer.
            • How to use Avatars and why they are important
            • How to view stream host logs In XMPro Data Stream Designer
            • Logging Provider Support With XMPro
            • Mastering Health Check Endpoints: A Guide to Ensuring Service Uptime and Performance with XMPro
            • Mastering Root Cause Analysis with XMPro: Capture, Value, Impact
            • Microsoft Azure Digital Twins Everything You Need To Know
            • Model Based Predictive Maintenance (PdM) With XMPro
            • Monthly Webinar - Accelerate your digital twin use cases - XMPro Blueprints, Accelerators & Patterns
            • Optimizing Time Series Chart (TSC) Performance
            • Predictive Maintenance & Condition Monitoring - A Hot Seat Q&A Session
            • Predictive Maintenance with XMPro iDTS
            • Smart Facilities Management with Intelligent Digital Twins
            • The Benefits of using Digital Twins in Smart Manufacturing
            • The Four Industrial Revolutions Explained In Under 4 Minutes! #industry4 #smartmanufacturing
            • The Roadmap To Intelligent Digital Twins
            • The Technology Behind Predictive Maintenance (PdM) - The Hardware & Software that makes PdM Tick...
            • THE TOP USE CASES FOR COMPOSABLE DIGITAL TWINS IN RENEWABLES
            • Tips on how to use cache in agent configuration and get live updates
            • Webinar - XMPro 4.3 Release Showcase
            • What is a Digital Twin- Why Composable Digital Twins is the Future.
            • What Is Predictive Maintenance- (PdM)
            • What To Do When a Data Source Is Not Showing in Pass Page Parameter
            • XMPro - The World's Only AI - Powered Intelligent Digital Twin Suite
            • XMPro - The World's Only No Code Digital Twin Composition Platform
            • XMPro AI : How It Works
            • XMPro AI End To End Use Case
            • XMPro Auto Scale - Understanding Distributed Caching for Cloud-Native Applications
            • XMPro Promo Video - Dell Validated Design For Manufacturing Edge
          • 2022
            • Aggregate Transformation Agent Example - XMPRO Data Stream Designer
            • App Layout Best Practices for Desktop & Mobile - XMPro Lunch & Learn
            • Broadcast Transformation Agent Example - XMPRO Data Stream Designer
            • Calculated Field Transformation Agent Example - XMPRO Data Stream Designer
            • CRC16 Function Agent Example - XMPRO Data Stream Designer
            • Create a Common Operating Picture of Your Operations with XMPro
            • CSV Context Provider Agent Example - XMPro Data Stream Designer
            • CSV Simulator Agent Example - XMPRO Data Stream Designer
            • CSV Writer Agent Example - XMPRO Data Stream Designer
            • Data Conversion Transformation Agent Example - XMPro Data Stream Designer
            • Digital Twin Strategy To Execution Pyramid - XMPro Webinar
            • Event Printer Action Agent Example - XMPRO Data Stream Designer
            • File Listener Agent Example - XMPRO Data Stream Designer
            • Filter Transformation Agent Example - XMPRO Data Stream Designer
            • Group & Merge Transformation Agent Example - XMPRO Data Stream Designer
            • How To Bind Data To A Chart and Get It Working As Expected - XMPro Lunch & Learn
            • How To Send Data To My App (Including Caching Introduction) - XMPro Lunch & Learn
            • Join Transformation Agent Example - XMPRO Data Stream Designer
            • Min/Max Function Agent Example - XMPRO Data Stream Designer
            • PART 1- How To Manage Complex Operations in Real-time Using Composable Digital Twins
            • PART 3 - How To Manage Complex Operations in Real-time Using Composable Digital Twins
            • PART2 - How To Manage Complex Operations in Real-time Using Composable Digital Twins
            • Pass Through Agent Example - XMPRO Data Stream Designer
            • Pivot Table Transformation Agent Example - Count - XMPRO Data Stream Designer
            • Pivot Table Transformation Agent Example - Sum - XMPRO Data Stream Designer
            • Real-Time Is Real - How To Use Event Intelligence Tools to Manage Complex Operations in Real-time.
            • Row Count Agent Example - XMPRO Data Stream Designer
            • Sort Transformation Agent Example - XMPRO Data Stream Designer
            • Transpose Transformation Agent Example - Columns - XMPRO Data Stream Designer
            • Transpose Transformation Agent Example - Rows - XMPRO Data Stream Designer
            • Trim Name Transformation Agent Example - XMPRO Data Stream Designer
            • Twilio Action Agent Example - XMPRO Data Stream Designer
            • Union Transformation Agent Example - XMPRO Data Stream Designer
            • Variables & Expressions in App Designer - XMPro Lunch & Learn
            • Window Transformation Agent Example - XMPRO Data Stream Designer
            • XML File Reader Action Agent Example - XMPRO Data Stream Designer
          • 2021
            • The Value of a Composable Digital Twin - XMPro Webinar
          • 2020
            • 1. Understanding The Problem - UX Design - XMPRO
            • 1.1 Welcome - XMPRO UI Design Basics
            • 1.2 Introduction To UI Design - XMPRO UI Design Basics
            • 2. Creating User Stories - UX Design - XMPRO
            • 2.1 Responsive Design - XMPRO UI Design Basics
            • 2.2 Grids - XMPRO UI Design Basics
            • 2.3 Visual Hierarchy - XMPRO UI Design Basics
            • 2.4 Wireframes - XMPRO UI Design Basics
            • 3. Creating User Flow Diagrams - UX Design - XMPRO
            • 3.1 Color Palette - XMPRO UI Design Basics
            • 3.2 Typography - XMPRO UI Design Basics
            • 3.3 White Space - XMPRO UI Design Basics
            • 3.4 UI Elements - XMPRO UI Design Basics
            • 4. Plan Your App with Wireframes - UX Design - XMPRO
            • 4.1 Chart Types - XMPRO UI Design Basics
            • 4.2 Chart Styling - XMPRO UI Design Basics
            • 5. Designing for Dynamic Data - UX Design - XMPRO
            • Agents and Their Types - XMPRO Data Stream Designer
            • Data Wrangling: Row Transpose - XMPRO Data Stream Designer
            • Digital Twin: Your Most Productive Remote Worker - XMPRO Webinar
            • End-To-End Real-Time Condition Monitoring Demo - XMPRO Application Development Platform
            • Error Endpoints - XMPRO Data Stream Designer
            • Export and Import Recommendations - XMPRO App Designer
            • How To Add Buttons To Agents - XMPRO Data Stream Designer
            • How To Add EditLists to Agents - XMPRO Data Stream Designer
            • How To Change UI Language - XMPRO Subscription Manager
            • How To Configure a Stream Object - XMPRO Data Stream Designer
            • How To Configure The Aggregate Transformation - XMPRO Data Stream Designer
            • How To Configure The Anomaly Detection Agent - XMPRO Data Stream Designer
            • How To Configure The Azure SQL Action Agent - XMPRO Data Stream Designer
            • How To Configure The Azure SQL Context Provider - XMPRO Data Stream Designer
            • How To Configure The Azure SQL Listener - XMPRO Data Stream Designer
            • How To Configure The Calculated Field Transformation - XMPRO Data Stream Designer
            • How To Configure The CSV Context Provider - XMPRO Data Stream Designer
            • How To Configure The CSV Listener - XMPRO Data Stream Designer
            • How To Configure The Data Conversion Transformation - XMPRO Data Stream Designer
            • How To Configure The Edge Analysis Transformation - XMPRO Data Stream Designer
            • How To Configure The Email Action Agent - XMPRO Data Stream Designer
            • How To Configure The Email Listener - XMPRO Data Stream Designer
            • How To Configure The Event Printer Action Agent - XMPRO Data Stream Designer
            • How To Configure The Event Simulator Listener - XMPRO Data Stream Designer
            • How To Configure The FFT Function - XMPRO Data Stream Designer
            • How To Configure The File Listener - XMPRO Data Stream Designer
            • How To Configure The Filter Transformation - XMPRO Data Stream Designer
            • How To Configure The IBM Maximo Action Agent - XMPRO Data Stream Designer
            • How To Configure The IBM Maximo Context Provider - XMPRO Data Stream Designer
            • How To Configure The IBM Maximo Listener - XMPRO Data Stream Designer
            • How To Configure The Join Transformation - XMPRO Data Stream Designer
            • How To Configure The JSON File Reader Context Provider - XMPRO Data Stream Designer
            • How To Configure The MQTT Action Agent - XMPRO Data Stream Designer
            • How To Configure The MQTT Advanced Action Agent - XMPRO Data Stream Designer
            • How To Configure The MQTT Advanced Listener - XMPRO Data Stream Designer
            • How To Configure The MQTT Listener - XMPRO Data Stream Designer
            • How To Configure The Normalize Fields Function - XMPRO Data Stream Designer
            • How To Configure The OSIsoft PI Context Provider - XMPRO Data Stream Designer
            • How To Configure The OSIsoft PI Listener - XMPRO Data Stream Designer
            • How To Configure The Pass Through Transformation - XMPRO Data Stream Designer
            • How To Configure The PMML Agent - XMPRO Data Stream Designer
            • How To Configure The REST API Context Provider - XMPRO Data Stream Designer
            • How To Configure The RScript Agent - XMPRO Data Stream Designer
            • How To Configure The Run Recommendation Agent - XMPRO Data Stream Designer
            • How To Configure The Signal Filter - XMPRO Data Stream Designer
            • How To Configure The SQL Server Action Agent - XMPRO Data Stream Designer
            • How To Configure The SQL Server Context Provider - XMPRO Data Stream Designer
            • How To Configure The SQL Server Listener - XMPRO Data Stream Designer
            • How To Configure The SQL Server Writer Action Agent - XMPRO Data Stream Designer
            • How To Configure The Twilio Action Agent - XMPRO Data Stream Designer
            • How To Configure The Union Transformation - XMPRO Data Stream Designer
            • How To Configure The Unzip Function - XMPRO Data Stream Designer
            • How To Configure The Window Transformation - XMPRO Data Stream Designer
            • How To Create an App - XMPRO App Designer
            • How To Create and Manage Templates - XMPRO App Designer
            • How To Create and Publish a Use Case - XMPRO Data Stream Designer
            • How To Create and Use a Widget - XMPRO App Designer
            • How To Create App Data Connections - XMPRO App Designer
            • How To Create App Pages and Navigation - XMPRO App Designer
            • How To Create Recommendation Rules - XMPRO App Designer
            • How To Create Recurrent Data Streams - XMPRO Data Stream Designer
            • How To Do Integrity Checks - XMPRO Data Stream Designer
            • How To Edit Page Properties - XMPRO App Designer
            • How To Enable Audit Trails - XMPRO App Designer
            • How to Export, Import, and Clone a Data Stream - XMPRO Data Stream Designer
            • How To Export, Import and Clone an App - XMPRO App Designer
            • How to Export and Import an App - XMPRO App Designer
            • How To Find Help for an Agent - XMPRO Data Stream Designer
            • How To Install The XMPRO App Designer
            • How To Maintain and Capture Notes - XMPRO App Designer
            • How To Manage Agents - XMPRO Data Stream Designer
            • How To Manage and Use Server Variables - XMPRO Data Stream Designer
            • How To Manage Buffer Size - XMPRO Data Stream Designer
            • How to Manage Categories - XMPRO App Designer
            • How To Manage Categories - XMPRO Data Stream Designer
            • How To Pass Parameters Between Pages - XMPRO App Designer
            • How To Publish and Share an Application - XMPRO App Designer
            • How To Set Up and Use Charts in Live View - XMPRO Data Stream Designer
            • How To Set Up and Use Gauges in Live View - XMPRO Data Stream Designer
            • How To Share a Data Stream - XMPRO Data Stream Designer
            • How To Share a Use Case - XMPRO Data Stream Designer
            • How To Share an App For Design Collaboration - XMPRO App Designer
            • How To Troubleshoot a Use Case - XMPRO Data Stream Designer
            • How To Upgrade a Stream Object Version - XMPRO Data Stream Designer
            • How To Use App Files - XMPRO App Designer
            • How To Use Application Versions - XMPRO App Designer
            • How To Use Bar Gauge - XMPRO App Designer
            • How To Use Calendar - XMPRO App Designer
            • How To Use Chart Pan, Zoom and Aggregation - XMPRO App Designer
            • How To Use Chart Panes and Axes - XMPRO App Designer
            • How To Use Chart Print and Export- XMPRO App Designer
            • How To Use Charts - XMPRO App Designer Toolbox
            • How To Use Charts: Series - XMPRO App Designer
            • How To Use Collections - XMPRO Data Stream Designer
            • How To Use Content Card - XMPRO App Designer
            • How To Use D3 - XMPRO App Designer
            • How To Use Data Sources - XMPRO App Designer
            • How To Use Embedded Pages - XMPRO App Designer Toolbox
            • How To Use Fieldset and Field - XMPRO App Designer Toolbox
            • How To Use Flex Layout
            • How To Use Form Validation - XMPRO App Designer Toolbox
            • How To Use Input Mappings - XMPRO Data Stream Designer
            • How To Use Linear Gauges - XMPRO App Designer
            • How To Use Live View - XMPRO Data Stream Designer
            • How To Use Lookup - XMPRO App Designer
            • How To Use Maps - XMPRO App Designer
            • How To Use Page Layers - XMPRO App Designer
            • How To Use Pivot Grid - XMPRO App Designer
            • How To Use Polar Charts - XMPRO App Designer
            • How To Use Power BI - XMPRO App Designer
            • How To Use Radio Buttons - XMPRO App Designer Toolbox
            • How To Use Recommendations - XMPRO App Designer Toolbox
            • How To Use Select Box - XMPRO App Designer
            • How To Use Stacked Layouts - XMPRO App Designer Toolbox
            • How To Use Stream Host Local Variables - XMPRO Data Stream Designer
            • How To Use Tabs - XMPRO App Designer Toolbox
            • How To Use Tags - XMPRO App Designer Toolbox
            • How To Use Templated List - XMPRO App Designer
            • How To Use Templates - XMPRO App Designer
            • How To Use Text - XMPRO App Designer Toolbox
            • How To Use Text Area - XMPRO App Designer Toolbox
            • How To Use The Accordion - XMPRO App Designer Toolbox
            • How To Use The Block Styling Manager - XMPRO App Designer
            • How To Use The Box and Data Repeater Box - XMPRO App Designer Toolbox
            • How To Use The Button - XMPRO App Designer Toolbox
            • How To Use The Circular Gauge - XMPRO App Designer Toolbox
            • How To Use The Data Grid - XMPRO App Designer Toolbox
            • How To Use The HTML Editor - XMPRO App Designer Toolbox
            • How To Use The Hyperlink and Box Hyperlink - XMPro App Designer Toolbox
            • How To Use The Image - XMPRO App Designer Toolbox
            • How To Use The Indicator - XMPRO App Designer Toolbox
            • How To Use The Layout Grid - XMPRO App Designer Toolbox
            • How To Use The Number Selector - XMPRO App Designer Toolbox
            • How To Use The Pie Chart - XMPRO App Designer Toolbox
            • How To Use The Range Slider - XMPRO App Designer Toolbox
            • How To Use The Recommendation Chart - XMPRO App Designer Toolbox
            • How To Use The Scroll Box - XMPRO App Designer Toolbox
            • How To Use The Select Box - XMPRO App Designer Toolbox
            • How To Use The Sparkline - XMPRO App Designer Toolbox
            • How To Use The Textbox - XMPRO App Designer Toolbox
            • How To Use Tree Grid - XMPRO App Designer
            • How To Use Tree List - XMPRO App Designer
            • How To Use Unity - XMPRO App Designer Toolbox
            • How To Use Variables - XMPRO App Designer
            • How To Write and Maintain Notes and Business Case - XMPRO Data Stream Designer
            • Interactive 3D Models For Digital Twins - XMPRO Event Intelligence Platform
            • Manage Input Arrow Highlights - XMPRO Data Stream Designer
            • Manage Recommendation Access - XMPRO App Designer
            • Realize Value from End-To-End Condition Monitoring in 6 - 8 Weeks - XMPRO
            • Recommendation Versions - XMPRO App Designer
            • Solution Development Process For Event Intelligence Apps - XMPRO
            • Stream Hosts and How To Install Them - XMPRO Data Stream Designer
            • Use Case Versioning - XMPRO Data Stream Designer
            • XMPRO App Designer Overview - Event Intelligence Applications
            • XMPRO Data Stream Designer - Event Intelligence Applications
            • XMPRO Real-Time Event Intelligence Demo
            • XMPRO Recommendations - Event Intelligence Applications
          • 2019
            • Data Distribution Service: Using DDS in Your IoT Applications
            • My Digital Twin: Digital Twin Applications For Real-Time Operations (Like Me)
            • Setting up a Typical Industrial IoT Use Case with XMPro
            • XMPro Overview & Fin Fan Failure Demo
          • 2016
            • XMPro iBPMS Overview
          • 2013
            • XMPro Best Next Action - 3 Examples for XMPro blog
            • XMPro Case Management Example
            • XMPro Internet of Things Demo
          • 2012
            • Is Agile Business the New Normal
            • The Future of BPM Moving Towards Intelligent Business Operations
            • What industries does XMPro serve-
            • Who is XMPro for-
            • XMPro - The Social Listener - Why You Should Be Listening.wmv
            • XMPro Cool Vendor 2012
            • XMPro iBPMS For SharePoint
            • XMPro iBPMS v6 XMWeb for Intelligent Business Operations
            • XMPro News and Gartner BPM Sydney Summit Discount Offer.mp4
            • XMPro Version 6 - Introducing the Next Generation BPM for Intelligent Business Operations
    • Practice Notes
      • Unified Recommendation Alert Management
      • Performant Landing Pages in Real-Time Monitoring
  • Concepts
    • XMPro AI
      • XMPro Notebook
    • Data Stream
      • Stream Object Configuration
      • Verifying Stream Integrity
      • Running Data Streams
      • Timeline
    • Collection and Stream Host
    • Agent
      • Virtual vs Non-Virtual Agents
    • Application
      • Template
      • Page
      • Block
      • Canvas
      • Page Layers
      • Block Styling
      • Devices
      • Flex
      • Block Properties
      • Data Integration
      • Navigation and Parameters
      • Variables and Expressions
      • App Files
      • Metablocks
    • Recommendation
      • Rule
      • Execution Order
      • Auto Escalate
      • Form
      • Action Requests
      • Notification
      • Recommendation Alert
      • Deleted Items
      • Scoring
    • Connector
    • Landing Pages & Favorites
    • Version
    • Manage Access
    • Category
    • Variable
    • Insights
      • Data Delivery Insights
  • How-To Guides
    • Data Streams
      • Manage Data Streams
      • Manage Collections
      • Use Remote Receivers and Publishers
      • Manage Recurrent Data Streams
      • Use Business Case and Notes
      • Run an Integrity Check
      • Check Data Stream Logs
      • Use Live View
      • Use Stream Metrics
      • Troubleshoot a Data Stream
      • Upgrade a Stream Object Version
      • Setup Input Mappings
      • Use Error Endpoints
      • Use the Timeline
      • Context Menu
    • Application
      • Manage Apps
      • Manage Templates
      • Manage Pages
      • Import an App Page
      • Design Pages for Mobile
      • Navigate Between Pages
      • Pass Parameters Between Pages
      • Page Data
      • Manage Connections
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  • XMPro Solution for Conveyor Belt System Monitoring and Optimization in Automotive Manufacturing
  • Real-Time Conveyor Belt System Overview Dashboard
  • Asset Drilldown View – Conveyor Belt Systems
  • Asset Analysis View – Conveyor Belt Health for CD08
  • Why XMPro iBOS?
  • for Conveyor Belt System Monitoring and Optimization in the Automotive Industry?
  • Not Sure How To Get Started?

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Conveyor Belt System Monitoring and Optimization in Automotive Manufacturing

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XMPro Solution for Conveyor Belt System Monitoring and Optimization in Automotive Manufacturing Introduction In the automotive manufacturing industry, conveyor belt systems are vital for the seamless movement of components and assemblies. Their efficiency directly impacts the overall production process. XMPro's Intelligent Business Operations Suite offers a sophisticated solution for monitoring and optimizing these systems, ensuring

XMPro Solution for Conveyor Belt System Monitoring and Optimization in Automotive Manufacturing

Introduction

In the automotive manufacturing industry, conveyor belt systems are vital for the seamless movement of components and assemblies. Their efficiency directly impacts the overall production process. XMPro’s Intelligent Business Operations Suite offers a sophisticated solution for monitoring and optimizing these systems, ensuring uninterrupted and efficient operation.

The Challenge

Conveyor belt systems in automotive manufacturing face several significant challenges:

  1. Wear and Tear: Continuous operation leads to the deterioration of belts, motors, and rollers, which can result in unexpected failures and costly downtime.

  2. Unpredictable Failures: Traditional maintenance schedules based on fixed intervals may not accurately predict the actual wear and tear, leading to either premature maintenance or delayed interventions that can result in equipment failure and production stoppages.

  3. Operational Inefficiencies: Inefficiencies in conveyor system operations, such as improper belt alignment or variable speed issues, can go unnoticed without real-time monitoring, affecting the overall productivity and quality of the manufacturing process.

  4. Energy Consumption: Conveyor systems can be significant energy consumers in the manufacturing process. Without optimization, they can lead to increased operational costs and a larger carbon footprint.

The Solution

XMPro’s Intelligent Business Operations Suite (iBOS) offers a comprehensive approach to enhancing the efficiency and reliability of conveyor belt systems in automotive manufacturing:

Real-Time Monitoring with IoT Integration: XMPro iBOS integrates existing IoT sensors for continuous monitoring of conveyor system parameters. This proactive approach helps in early detection of issues, preventing unexpected failures and reducing downtime. The key benefit is maintaining consistent production flow by addressing problems before they escalate.

Advanced Predictive Analytics: The suite utilizes machine learning to analyze sensor data, predicting potential failures and optimal maintenance times. This shift to predictive maintenance enhances system reliability and extends its lifespan, moving away from less efficient reactive maintenance models.

Digital Twin Simulation for Conveyor: XMPro iBOS creates a digital twin of the conveyor system, allowing for failure scenario analysis and operational adjustments in a virtual environment. This capability enables testing and optimization of maintenance strategies without impacting production, leading to improved system performance.

Automated Alerts and Maintenance Recommendations: The system generates automated alerts for potential issues and provides targeted maintenance recommendations. This feature ensures quick and effective maintenance responses, improving system uptime and reducing response times for maintenance teams.

Maintenance Scheduling Optimization: Maintenance tasks are efficiently scheduled based on urgency and impact, optimizing resource allocation. This approach minimizes downtime and extends the lifespan of conveyor components, ensuring a more effective maintenance process.

Operational Efficiency and Energy Consumption Analysis: XMPro iBOS analyzes data to identify improvements in conveyor speed and energy use, enhancing overall system efficiency. This leads to cost savings, reduced environmental impact, and better production efficiency, aligning with sustainable manufacturing practices.

Figure 1. Real-Time Conveyor Belt System Overview Dashboard for Automotive Assembly Lines

Real-Time Conveyor Belt System Overview Dashboard

This advanced dashboard is specifically designed for operators in automotive manufacturing, offering a comprehensive view of conveyor belt system performance in assembly lines. It features an interactive layout of the factory floor, dynamically updating with the operational status of different conveyor belt systems, providing a clear visual representation of their efficiency and health. Each conveyor system is marked with a color-coded status icon, indicating its current operational state, including active status and any alerts or error messages related to performance optimization or maintenance needs.

Overview of Conveyor Belt System Health:

The dashboard displays the overall performance status of conveyor belt systems, highlighting areas with potential efficiency issues or optimization opportunities. It includes critical alerts such as belt misalignment, speed variances, and maintenance alerts for components like motors and rollers.

Performance Optimization Alerts:

Utilizing data from integrated sensors and advanced analytics, the dashboard provides real-time insights into optimization opportunities. It highlights conveyor systems requiring adjustments for issues like belt tension discrepancies or speed inefficiencies.

Maintenance Planning and Scheduling:

A detailed graph tracks maintenance and performance optimization requirements across the conveyor systems. It prioritizes systems based on their needs for maintenance or performance adjustments, facilitating efficient and proactive scheduling.

Drill-Down Capability for In-Depth Analysis:

Users can explore specific conveyor systems for detailed information, including historical performance data, recent maintenance activities, and predictive maintenance recommendations. This level of detail enables targeted actions based on the system’s predictive analytics.

Customizable Alerts and Recommendations:

The dashboard highlights active recommendations generated by the system’s smart rule logic and machine learning algorithms. This includes suggestions for enhancing conveyor system performance, addressing wear and tear issues, and other optimization actions.

Overall Asset Status Summary:

At the bottom of the screen, there’s a summary of the status of different conveyor systems, including the number of active and inactive units across various assembly lines.

Search Functionality:

A search bar at the top allows users to search for specific data across the platform.

This Real-Time Conveyor Belt System Performance Optimization Dashboard is an essential tool for automotive manufacturing operators, enabling them to effectively monitor and optimize the performance of their conveyor belt systems. By providing real-time data, predictive insights, and actionable recommendations, it ensures informed decision-making and enhances the operational efficiency and productivity of the assembly lines.

Figure 2. Asset Drill Down View – Conveyor Belt Systems in Automotive Assembly

Asset Drilldown View – Conveyor Belt Systems

This specialized dashboard for conveyor belt systems in automotive assembly lines offers a comprehensive and actionable overview, essential for maintaining high production standards and efficiency.

Alerts Overview

The dashboard features a graphical representation of open alerts on conveyor belt systems, categorized by severity (no alerts, medium, high). This categorization is crucial for the immediate identification and prioritization of critical issues. The key benefit is the enhancement of responsiveness to potential problems, preventing their escalation into more significant failures. By addressing medium and high-severity alerts promptly, maintenance teams can resolve issues before they impact production, ensuring a smooth production flow.

Work Order Status

The current status of each conveyor belt system is displayed on the dashboard, categorized as available, in planning, or waiting. This real-time visibility is vital for facilitating better coordination and planning. The primary benefit is the minimization of downtime and the assurance of continuous production flow. It enables maintenance and operational teams to strategically plan work orders and maintenance activities, ensuring that the conveyor systems are always operational when needed.

Performance Metrics (Last 30 Days)

The dashboard provides a comprehensive summary of performance metrics for the conveyor belt systems, including new alerts, the number of work orders, open work orders, and open work requests. It also tracks the duration from alert initiation to work order completion, comparing it with the previous 30-day period. This tracking offers critical insights into the maintenance team’s responsiveness and efficiency. Monitoring these metrics over time helps identify trends and areas for improvement, leading to more effective maintenance strategies and enhanced system reliability.

Asset Filtering and Service Information

Detailed asset filtering is available on the dashboard, showing the last service date, upcoming service schedules, and due dates for all conveyor belt systems. This feature facilitates proactive and strategic maintenance planning. Having a clear overview of service schedules allows maintenance teams to prevent potential issues before they occur, extending the lifespan of the conveyor systems and maintaining consistent production quality.

Recent Recommendations

The dashboard lists recent recommendations triggered for specific conveyor belt system assets, complete with detailed views and actionable steps. This empowers maintenance teams with data-driven, actionable insights for immediate and future maintenance actions. Such a proactive approach is crucial in addressing minor issues before they escalate into major problems, ensuring high operational efficiency.

XMPro Co-Pilot Integration

The dashboard integrates interactive AI-assisted queries, providing specific advice on errors, warnings, and issues based on internal data, such as conveyor system manuals. There is also a direct link to work order requests and triage instructions, enhancing the decision-making process for maintenance and operational teams. The key benefit of this integration is that it ensures maintenance and operational decisions are based on comprehensive, real-time data. This leads to more accurate troubleshooting, quicker resolution of issues, and overall improved asset management.

This dashboard is designed as a central hub for monitoring and managing the health and performance of conveyor belt systems in automotive assembly lines. By providing real-time data, predictive insights, and actionable recommendations, it plays a crucial role in enhancing operational efficiency, reducing downtime, and maintaining high-quality production standards.

Figure 3. Asset Analysis View – Conveyor Belt System CD08

Asset Analysis View – Conveyor Belt Health for CD08

This Asset Analysis View provides a detailed examination of the conveyor belt system CD08 in the automotive assembly line, offering critical insights for maintenance and operational efficiency.

Comprehensive Conveyor Belt Health Metrics

The dashboard displays vital health indicators for Conveyor Belt System CD08, including belt tension, motor temperature readings, and overall condition assessments. It integrates predictive analytics to contrast real-time health data with forecasts of the remaining useful life (RUL), thereby enhancing maintenance planning. The key benefit of this feature is its enablement of proactive maintenance strategies. By predicting potential issues before they escalate, it reduces unplanned downtime and extends the operational life of the conveyor belt system, ensuring consistent production efficiency.

  • Belt Tension: Currently at 7 N/mm, with an hourly trend line indicating fluctuations outside the optimal range of 5-15 N/mm.

  • Motor Temperature: At 81°C, exceeding the normal range of up to 60°C.

  • Vibration Level: Recorded at 8 mm/s, within the optimal range of 4-12 mm/s.

  • Motor Power Consumption: Measures 15 kW, above the normal range of 10-12 kW.

Interactive 2D and 3D Conveyor Belt Models

The view features detailed 2D and 3D models of Conveyor Belt System CD08, offering capabilities to ‘explode’ the view for a closer examination of individual components. Critical areas, flagged by predictive analysis for potential wear or failure, such as motor efficiency drop and belt misalignment, are highlighted in the model for quick identification. This functionality facilitates focused attention on high-risk components, streamlining the maintenance and repair processes.

Error Identification and Proactive Recommendations

Interactive error details allow users to interact with highlighted areas on the model to access specific error information and associated recommendations. This feature is directly linked to XMPro’s Recommendation Manager, facilitating swift and effective resolution strategies. The key benefit here is the assurance of timely and effective maintenance actions, which minimizes the impact of potential failures on production.

  • Alerts: “CD08 – Motor Efficiency Drop Detected” and “CD08 – Conveyor Belt Misalignment Detected,” with the latter marked as HIGH PRIORITY.

Detailed Conveyor Belt Information

The dashboard provides an extensive asset profile for Conveyor Belt System CD08, including its type, model, operational history, and manufacturer details. This detailed information aids in informed decision-making and tailored maintenance approaches.

  • Belt Type: Dual Belt

  • Model: Dupow-12

  • Section Length: 30 meters

  • Belt Material: Plastic

  • Belt ID: CD08

XMPro Co-Pilot Integration

Integrated with XMPro Co-Pilot, this feature uses AI, trained on datasets like maintenance records, to provide targeted advice and solutions for issues related to Belt Conveyor CD08. This AI-driven assistance supports informed decision-making and enhances maintenance process efficiency.

Work Request History

A table listing work requests includes details about the maintenance activities performed and their outcomes, providing a history of interventions for Conveyor Belt System CD08.

This Asset Analysis View is specifically designed to deliver a comprehensive understanding of Conveyor Belt System CD08’s health, combining advanced visualizations with data-driven insights and AI-powered recommendations. It is an essential tool for effective conveyor belt system management in automotive manufacturing, ensuring operational efficiency and safety. By providing a detailed view of the conveyor belt’s condition and performance, it plays a crucial role in maintaining high-quality production standards.

Why XMPro iBOS?

for Conveyor Belt System Monitoring and Optimization in the Automotive Industry?

XMPro’s Intelligent Business Operations Suite (iBOS) offers a suite of unique solutions specifically tailored for optimizing the performance and maintenance of conveyor belt systems in the automotive industry. Here’s how XMPro iBOS effectively addresses this challenge:

Advanced Intelligent Digital Twin Modeling:

XMPro iBOS creates sophisticated digital twins of conveyor belt systems, providing a virtual representation that mirrors their real-world conditions. This advanced modeling enables detailed analysis and simulation of the conveyor system’s performance under various operational scenarios. The benefit of this approach is the ability to precisely identify potential issues and test maintenance strategies in a virtual environment, thereby reducing the risk of disruptions in the actual production process.

Advanced Sensor Data Integration & Transformation:

The suite integrates real-time data from various sensors mounted on the conveyor systems, capturing critical metrics such as belt tension, motor operation, and roller condition. This comprehensive monitoring and analysis allow for the identification of areas that require maintenance or operational optimization. The key benefit here is the provision of a holistic view of each conveyor system’s health, enabling timely interventions and preventing potential failures.

Predictive Analytics for Performance Enhancement:

Utilizing advanced predictive analytics, XMPro iBOS can forecast potential mechanical issues and identify optimal operational settings for each conveyor system. This predictive approach enables proactive adjustments to be made, enhancing the conveyor systems’ operational efficiency and reducing wear and tear. The primary benefit is the reduction in unplanned downtime and the extension of the conveyor systems’ operational lifespan.

Maintenance Scheduling Optimization:

By analyzing performance data, XMPro iBOS helps shift maintenance strategies from a reactive to a predictive approach. This optimization of maintenance schedules is based on the actual condition of the equipment, rather than fixed intervals. The benefit is a significant reduction in downtime and an extension of the lifespan of conveyor system components, leading to increased overall efficiency and reduced maintenance costs.

Real-Time Monitoring and Predictive Alerting:

The platform generates automated recommendations for maintenance actions based on real-time data and predictive insights. This automation ensures that the conveyor systems are always operating at their peak efficiency and reduces the likelihood of unexpected failures. The key advantage is the ability to maintain continuous production flow, with minimal interruptions for maintenance.

Customizable and Interactive Dashboards:

XMPro iBOS features customizable dashboards that provide real-time insights into the performance of conveyor systems. These dashboards are interactive, allowing operators to drill down into specific aspects of conveyor system operation for a more detailed analysis. The benefit of these dashboards is that they enhance decision-making capabilities and allow for quick responses to emerging issues, ensuring optimal performance at all times.

Scalability and Flexibility – Start Small, Scale Fast:

XMPro iBOS offers scalable and flexible solutions that are suitable for different sizes of automotive manufacturing operations. This modular design ensures easy integration and adaptability, allowing operations to start small and expand as needed. The benefit here is the ability to scale the solution in line with the growth of the manufacturing operation, ensuring that the predictive maintenance system evolves with the business.

Enhanced Safety & Operational Efficiency:

The suite enhances operational safety by predicting and mitigating potential risks associated with conveyor system operation. It also improves overall operational efficiency by ensuring that the conveyor systems operate within optimal parameters. The key benefit is the creation of a safer working environment and the reduction of operational risks, leading to a more efficient and productive manufacturing process.

XMPro Blueprints – Quick Time to Value:

XMPro Blueprints offer a rapid path to value realization for automotive manufacturers. These pre-configured templates are designed for quick implementation, incorporating best practices and industry standards. The benefit of these Blueprints is that they accelerate the deployment process, enabling manufacturers to quickly realize the advantages of the predictive maintenance system.

In summary, XMPro iBOS addresses the Conveyor Belt System Monitoring and Optimization use case in the automotive industry by providing a comprehensive, real-time, predictive, and integrated solution. Its capabilities in digital twin technology, advanced data integration, predictive analytics, and interactive dashboards make it a powerful tool for enhancing the performance, safety, and efficiency of conveyor belt systems in automotive manufacturing.

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