Maximizing the availability of assets to earn revenue directly impacts financial return on assets and shareholder value. CMMS is a new approach to integrate applications which can be used to achieve this outcome. This type of system, when applied in a railway environment, can allow its operator to automate and better coordinate Operations and Management (O&M) activities such as maintenance work orders, inventory management and asset management. The railways in Australia have matured enough to understand that instead of continuing the historical cycle of break-fix work orders and static maintenance schedules, there are huge potential cost savings in predictive maintenance.
Modern analytics software solutions can identify subtle patterns or abnormal events to accurately predict future performance of the asset.
The vendor hype surrounding predictive maintenance packages has many examples of unsuccessful implementations, where the product has not met the expectations of the rail operator. This is due to a number of factors but mainly because railways have not analysed the needs of the business and requirements of the maintenance strategy that they want to pursue prior to procuring a package.
This paper will look at the problems of building requirements to suit a particular predictive maintenance package versus analysing the needs of the business to allow the market to develop a product that meets the business needs.
PlantConnect RAMS - Give Voice to Your MachinesAkshay Tilak
PlantConnect is a web based monitoring and control platform from Ascent Informatics (India) Pvt. Ltd. PlantConnect RAMS is a solution designed specifically to cater requirements of Original Equipment Manufacturers. It aids remote monitoring of machines / devices deployed on field at end customer site from OEM HQ or maintenance room. This facilitates remote maintenance support or remote troubleshooting.
Implementing the ABT/DSM system in all power plants stabilizes the Grid frequency and ensures smooth load changes.
The system minimise penalties and increase incentives by providing Real-time DSM calculations and decision support for power generation companies.
inSis EMS provides a built-in DSM module that help power generation companies to effectively implement ABT/DSM system.
PlantConnect is a web based online monitoring and control tool from Ascent Informatics (India) Pvt. Ltd. It has capability of M2M communication for connecting with multiple devices across geographies and collect live device data. This data can be used for further analytics, reporting and online remote monitoring.
Web based Energy Monitoring system in India is GSM/GPRS enable,online,wireless and web based energy management solution to reduce energy cost.Our GSM/GPRS web based Energy monitoring system are applicable to various business and Industrial energy management solution.
Graphitetech Energy Monitoring System (GEMS)
Implementing real energy monitoring solution for enterprise and business to reduce energy usage at same time reduce energy utility bills as well as reduce carbon emission to save environment.Our Energy monitoring solutions are advanced energy monitoring software which will help you in reducing energy consumption and achieving energy goal.Our Energy monitoring solution provide real time energy utility and consumption data for various industry and businesses.
Fleet management systems monitor different kinds of motor vehicles such as cars, vans, trucks, aircraft, ships, and rail cars. Managing a fleet of vehicles is a challenging task. Fleet Management System Or Enterprise Asset management system allows companies to remove or minimize the risks associated with vehicle investment and improve efficiency, productivity, and compliance with government legislation.
Are you looking to deploy new technologies and innovative solutions for Asset Management or Field Service? Contact us for a detailed presentation on IoT, Asset Management, or Field service.
PlantConnect RAMS - Give Voice to Your MachinesAkshay Tilak
PlantConnect is a web based monitoring and control platform from Ascent Informatics (India) Pvt. Ltd. PlantConnect RAMS is a solution designed specifically to cater requirements of Original Equipment Manufacturers. It aids remote monitoring of machines / devices deployed on field at end customer site from OEM HQ or maintenance room. This facilitates remote maintenance support or remote troubleshooting.
Implementing the ABT/DSM system in all power plants stabilizes the Grid frequency and ensures smooth load changes.
The system minimise penalties and increase incentives by providing Real-time DSM calculations and decision support for power generation companies.
inSis EMS provides a built-in DSM module that help power generation companies to effectively implement ABT/DSM system.
PlantConnect is a web based online monitoring and control tool from Ascent Informatics (India) Pvt. Ltd. It has capability of M2M communication for connecting with multiple devices across geographies and collect live device data. This data can be used for further analytics, reporting and online remote monitoring.
Web based Energy Monitoring system in India is GSM/GPRS enable,online,wireless and web based energy management solution to reduce energy cost.Our GSM/GPRS web based Energy monitoring system are applicable to various business and Industrial energy management solution.
Graphitetech Energy Monitoring System (GEMS)
Implementing real energy monitoring solution for enterprise and business to reduce energy usage at same time reduce energy utility bills as well as reduce carbon emission to save environment.Our Energy monitoring solutions are advanced energy monitoring software which will help you in reducing energy consumption and achieving energy goal.Our Energy monitoring solution provide real time energy utility and consumption data for various industry and businesses.
Fleet management systems monitor different kinds of motor vehicles such as cars, vans, trucks, aircraft, ships, and rail cars. Managing a fleet of vehicles is a challenging task. Fleet Management System Or Enterprise Asset management system allows companies to remove or minimize the risks associated with vehicle investment and improve efficiency, productivity, and compliance with government legislation.
Are you looking to deploy new technologies and innovative solutions for Asset Management or Field Service? Contact us for a detailed presentation on IoT, Asset Management, or Field service.
The important objectives of Energy Management System (EMS) are to monitor control and load forecasting in an economical way. With the advancement of computing technology the above tasks have become easier. Digital control provide superior control due to the implementation of various algorithm.
Advanced Management of Energy Operations is a software solution developed by Blacklight Analytics and dedicated to the advanced management of energy data and operations.
The solution collects and processes data from various sources and runs intelligent forecasting and decision-making algorithms to optimize the economic and technical operations of energy systems.
In this presentation, Raj introduces Automation and associated trends. Raj's interest area lies in automation processes that enable smart technology. He wants to make such technology affordable.
BMC and Compuware: Partnering to Improve Mainframe EconomicsCompuware
With MLC-based software costs often consuming 30 percent or more of mainframe budgets, organizations can achieve significant savings by 1) shifting where and when workloads run to minimize collective MSU peaks and 2) tuning applications to reduce their individual MSU utilization. In this presentation, you'll see an overview of how BMC's MainView and CAzE offerings seamlessly interact with Compuware's Strobe offering to uniquely enable customers to discover and exploit new opportunities for mainframe cost savings.
This is a first of a series of presentations illustrating implementation of VDI 2206 guidelines into a five weeks project carried with my colleagues in post graduate course lectured by Dr. Mohamed Abdelaziz.
SeeMyMachines enables remote real-time monitoring of your machines. Get information such as machine output, operating speed, process variables, hours in operation and downtime regardless of where you are. Receive alerts if operating thresholds are breached. Access machine-related data such as maintenance records, service and user manuals, spare parts information and warranty details from a central secure location.
The EXSYN 2018 year update from the 2018 EMEA Airline MRO & Flight OPS confer...Sander De Bree
Every year EXSYN presents its yearly update during the EMEA Airline MRO & Flight Operations conference. This years update shows latest develompent releases such as Fleetscan, Line Operations Planning and AOG Risk Monitor
Prominent Car Manufacturer In UK Predicts Factors For Increasing Manufacturin...Anita Raj
To identify and predict which external factors affect machine efficiency as a key performance indicator and how to make recommendations to optimize such factors to maximize performance
This presentation highlights the application of "5-Phase Project Management" implemented by Weiss and Wysocki, towards an automated traffic control system.
The Industrial Internet of Things (IIoT) is one of todays hottest topics within the automation and manufacturing industries. Individuals and organizations that uses variable frequency drives have high expectations that the IIoT ecosystem will deliver on its promises of added value through increased productivity, predictive maintenance, and reduced asset downtime. The idea is to come up with a prototype of a remote monitoring system for VLT FC-302 Danfoss drives. A portal that interfaces with the cloud server and displays the current state of all connected drives.
The important objectives of Energy Management System (EMS) are to monitor control and load forecasting in an economical way. With the advancement of computing technology the above tasks have become easier. Digital control provide superior control due to the implementation of various algorithm.
Advanced Management of Energy Operations is a software solution developed by Blacklight Analytics and dedicated to the advanced management of energy data and operations.
The solution collects and processes data from various sources and runs intelligent forecasting and decision-making algorithms to optimize the economic and technical operations of energy systems.
In this presentation, Raj introduces Automation and associated trends. Raj's interest area lies in automation processes that enable smart technology. He wants to make such technology affordable.
BMC and Compuware: Partnering to Improve Mainframe EconomicsCompuware
With MLC-based software costs often consuming 30 percent or more of mainframe budgets, organizations can achieve significant savings by 1) shifting where and when workloads run to minimize collective MSU peaks and 2) tuning applications to reduce their individual MSU utilization. In this presentation, you'll see an overview of how BMC's MainView and CAzE offerings seamlessly interact with Compuware's Strobe offering to uniquely enable customers to discover and exploit new opportunities for mainframe cost savings.
This is a first of a series of presentations illustrating implementation of VDI 2206 guidelines into a five weeks project carried with my colleagues in post graduate course lectured by Dr. Mohamed Abdelaziz.
SeeMyMachines enables remote real-time monitoring of your machines. Get information such as machine output, operating speed, process variables, hours in operation and downtime regardless of where you are. Receive alerts if operating thresholds are breached. Access machine-related data such as maintenance records, service and user manuals, spare parts information and warranty details from a central secure location.
The EXSYN 2018 year update from the 2018 EMEA Airline MRO & Flight OPS confer...Sander De Bree
Every year EXSYN presents its yearly update during the EMEA Airline MRO & Flight Operations conference. This years update shows latest develompent releases such as Fleetscan, Line Operations Planning and AOG Risk Monitor
Prominent Car Manufacturer In UK Predicts Factors For Increasing Manufacturin...Anita Raj
To identify and predict which external factors affect machine efficiency as a key performance indicator and how to make recommendations to optimize such factors to maximize performance
This presentation highlights the application of "5-Phase Project Management" implemented by Weiss and Wysocki, towards an automated traffic control system.
The Industrial Internet of Things (IIoT) is one of todays hottest topics within the automation and manufacturing industries. Individuals and organizations that uses variable frequency drives have high expectations that the IIoT ecosystem will deliver on its promises of added value through increased productivity, predictive maintenance, and reduced asset downtime. The idea is to come up with a prototype of a remote monitoring system for VLT FC-302 Danfoss drives. A portal that interfaces with the cloud server and displays the current state of all connected drives.
Ecolibrium Energy provides predictive maintenance system. Predictive maintenance technologies and sensors help in smoother functionality. Visit us for more info on predictive maintenance software.
Maintenance accounts for approx. 30% of the life-cycle costs of a high-speed train, making it the largest rolling stock operating cost factor besides energy. Advancements in the Big data technologies and predictive analytics with M2M telematics are enabling deep insights into the machine operations by providing full functionality status in real time - giving rise to optimal maintenance schedules,
improved machine availability and asset usage. Predictive maintenance, also known as Condition Based Maintenance (CBM) aims to reduce these unnecessary costs by basing the maintenance need on the actual condition of the machine rather than on preset schedules or assumptions.
@SCADA+® is a comprehensive solution to supervisory control and data acquisition, managing system on a real-time basis. The solution is developed entirely on Client-Server architecture.
PlantConnect is one of the most advanced IIoT Platforms. It has various products specific to needs, such as Remote Asset Monitoring System (PlantConnect RAMS), PlantConnect SFactory for Real Time Manufacturing Data recording, and analytics, and PlantConnect Insights a Historian, Data Management & Reporting Solution.
Digital Twins for Data-Driven Maintenance by UReasonUReason
Apply Digital Twin technology to realize data-driven maintenance by creating digital copies of your assets & processes and run real-time predictive analytics on them in a digitally secure way.
VOLTRIO SOLUTIONS PVT LTD is a automation product engineering service organiz...voltriosolutions
To accelerate development of your IOT solutions and products we provide Specialized engineering services across the entire IOT development cycle from consulting, device engineering, cloud and mobility application development, data analytics, and support & maintenance.
We are having functional expertise and competency to provide standardized solutions for industrial automation and industry 4.0.
Delivering tailor-made solutions that users can simply ease into with unparalleled expertise in design engineering, factory testing and commissioning of DCS, SCDA and PLC system has created benchmark and gained expert in oil and gas, pharmaceutical industry, automotive manufacturing sector, food & beverages, petrochemical and chemical industry.
Explore our comprehensive data analysis project presentation on predicting product ad campaign performance. Learn how data-driven insights can optimize your marketing strategies and enhance campaign effectiveness. Perfect for professionals and students looking to understand the power of data analysis in advertising. for more details visit: https://bostoninstituteofanalytics.org/data-science-and-artificial-intelligence/
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Empowering the Data Analytics Ecosystem: A Laser Focus on Value
The data analytics ecosystem thrives when every component functions at its peak, unlocking the true potential of data. Here's a laser focus on key areas for an empowered ecosystem:
1. Democratize Access, Not Data:
Granular Access Controls: Provide users with self-service tools tailored to their specific needs, preventing data overload and misuse.
Data Catalogs: Implement robust data catalogs for easy discovery and understanding of available data sources.
2. Foster Collaboration with Clear Roles:
Data Mesh Architecture: Break down data silos by creating a distributed data ownership model with clear ownership and responsibilities.
Collaborative Workspaces: Utilize interactive platforms where data scientists, analysts, and domain experts can work seamlessly together.
3. Leverage Advanced Analytics Strategically:
AI-powered Automation: Automate repetitive tasks like data cleaning and feature engineering, freeing up data talent for higher-level analysis.
Right-Tool Selection: Strategically choose the most effective advanced analytics techniques (e.g., AI, ML) based on specific business problems.
4. Prioritize Data Quality with Automation:
Automated Data Validation: Implement automated data quality checks to identify and rectify errors at the source, minimizing downstream issues.
Data Lineage Tracking: Track the flow of data throughout the ecosystem, ensuring transparency and facilitating root cause analysis for errors.
5. Cultivate a Data-Driven Mindset:
Metrics-Driven Performance Management: Align KPIs and performance metrics with data-driven insights to ensure actionable decision making.
Data Storytelling Workshops: Equip stakeholders with the skills to translate complex data findings into compelling narratives that drive action.
Benefits of a Precise Ecosystem:
Sharpened Focus: Precise access and clear roles ensure everyone works with the most relevant data, maximizing efficiency.
Actionable Insights: Strategic analytics and automated quality checks lead to more reliable and actionable data insights.
Continuous Improvement: Data-driven performance management fosters a culture of learning and continuous improvement.
Sustainable Growth: Empowered by data, organizations can make informed decisions to drive sustainable growth and innovation.
By focusing on these precise actions, organizations can create an empowered data analytics ecosystem that delivers real value by driving data-driven decisions and maximizing the return on their data investment.
Opendatabay - Open Data Marketplace.pptxOpendatabay
Opendatabay.com unlocks the power of data for everyone. Open Data Marketplace fosters a collaborative hub for data enthusiasts to explore, share, and contribute to a vast collection of datasets.
First ever open hub for data enthusiasts to collaborate and innovate. A platform to explore, share, and contribute to a vast collection of datasets. Through robust quality control and innovative technologies like blockchain verification, opendatabay ensures the authenticity and reliability of datasets, empowering users to make data-driven decisions with confidence. Leverage cutting-edge AI technologies to enhance the data exploration, analysis, and discovery experience.
From intelligent search and recommendations to automated data productisation and quotation, Opendatabay AI-driven features streamline the data workflow. Finding the data you need shouldn't be a complex. Opendatabay simplifies the data acquisition process with an intuitive interface and robust search tools. Effortlessly explore, discover, and access the data you need, allowing you to focus on extracting valuable insights. Opendatabay breaks new ground with a dedicated, AI-generated, synthetic datasets.
Leverage these privacy-preserving datasets for training and testing AI models without compromising sensitive information. Opendatabay prioritizes transparency by providing detailed metadata, provenance information, and usage guidelines for each dataset, ensuring users have a comprehensive understanding of the data they're working with. By leveraging a powerful combination of distributed ledger technology and rigorous third-party audits Opendatabay ensures the authenticity and reliability of every dataset. Security is at the core of Opendatabay. Marketplace implements stringent security measures, including encryption, access controls, and regular vulnerability assessments, to safeguard your data and protect your privacy.
2. Application of IoT and Big Data integration with Computerised
Maintenance Management Systems:
Provides a Single Point of Truth (SPOT)
Streamline rail maintenance planning and workflow process management
through automation
Unlocking the next level of operational effectiveness in asset management
Key Take-Away Points
3. Computerised Maintenance Management System is a:
Work Order Management System.
Maintenance Notification System.
Repository of Asset Lifecycle History
What is a Computerised Maintenance
Management System (CMMS)?
4. Train Control unable to call points –
Breakdown Notification in CMMS.
Manufacturer recommended Point Machine
Service is due – Planned Maintenance
Notification in CMMS
Track Inspector observes name plate
missing from Point Machine – Ad-Hoc
Notification created in CMMS
An Example of CMMS Functionality in the
case of the humble Point Machine
5. Scenario: Failed LED Signal Lamp
Action: Breakdown Notification is logged in
CMMS
Result: Work crew is dispatched to replace the
signal lamp
Issue: Unplanned outage, high cost to mobilise
crew at short notice. Production affected
Break-Fix Approach to Maintenance
6. Scenario: Periodic maintenance advised by
manufacturer for point machines
Action: Planned work order logged in
advance in CMMS
Result: Work crew is dispatched to perform
maintenance
Issue: Labour intensive, maintenance
despite no failure, risk of causing damage
Preventative Maintenance Approach
7. Scenario: Rail Grinding
Action: Work order created in
CMMS
Result: Work crew is dispatched and
problem is fixed
Issue: Labour intensive, often not
effective and doesn’t provide
significant benefits
Ad-hoc Approach: Point Machine
8. Traditional methods can be labour intensive
Ignored planned maintenance increases the risk of catastrophic asset
failures which could result in critical operational and safety consequences
Return of investment for activities are not realised
Maintenance is performed despite absence of failure
The Need for Change
9. Creates Work Orders with no traceability.
Decision making process sits outside the System
Lack of data analytics
Limitations of a standalone CMMS for
Maintenance
11. Predictive Maintenance
Predicting maintenance interventions using the data rather than reacting. Still
requires data to support the decision making process.
Smarter Maintenance Strategies
Leveraging from Big Data Analytics
Risk Based Maintenance
Maintenance decision making based on asset criticality and risk. Still
requires data to understand frequency of failures.
Reliability Centered Maintenance
Maintenance based on analysis of Failure modes and effects. Still
requires data to understand the failure modes.
12. Failure of Big Data Applications
Lack of full Integration Leads to Data Silos
Fragment Systems & Data Storage
When information resides and gets reviewed in
different places it is possible to miss critical pieces
of the puzzle.
Ivory Tower Solutions
Looking only at products in the market without
understanding the requirements leads to
solutions that cannot be applied in a practical
way.
13. Big Data Analytic
driving decisions in
the CMMS
What is not happening presently?
Cross- Functional Communications
Measuring Point functionality of the CMMS
14. Rail Operator: Austrian Railway Company (OBB-Infrastruktur)
Issue: Asset intensive infrastructure & rising operation cost €2.75 billion
(Approx. AUD $4.38 billion)
Solution: Integrated Infrastructure Management (IIM) System
Result: Integrated all expert systems in one single application, thus avoiding
isolated applications and enabling easy access to information
Fully Integrated Infrastructure
Management System –A Case Study
15. Asset Classes – Austrian Railway
13,677 switches including 10,361 heated.
24,786 signals
1,069 stations
6,344 bridges
246 tunnels
3,278 level crossings
4,496 buildings
Fully Integrated Infrastructure
Management System – A Case Study
20. Support in shut planning, because of better data integration in the CMMS
Workforce automation based on predicted maintenance cycles vs planned
preventive maintenance cycles
Central repository of condition monitoring data and maintenance history in
the same database.
Benefits of a Fully Integrated CMMS
21. An integrated Computerised Maintenance Management System is the
Single Point Of Truth (SPOT) for a business that is asset intensive.
Big Data and IoT need to feedback into Reliability Centered Maintenance
(RCM) process to manage planned maintenance activities in the CMMS.
Using Big Data and IoT to unlock hidden values in Asset Management.
Summary – Key Points