Tridium - Introduction

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Transcription:

Tridium - Introduction The Connected Data Centre Jimmy Jose Jan 2017

A Mission Critical Facility needs clear information for decision making Imagine all your building, system, repair and operational data all in linked secure dashboards accessible on hand held devices with levels of security access for both your inhouse operations teams and also off site experts / design teams. Designed for risk mitigation, increasing operator knowledge and access to all relevant information before intervention with predictive and condition based maintenance. Standardisation of data collection across your Enterprise, with real time data collection /reporting and analytics. An Open Protocol approach for all systems information allowing full client flexibility for future system development and integration. You own the systems, the data and you chose your partners without any traditional system lock-ins.

OPEN OPEN protocol SNMP Legacy & Proprietary Drivers

OPEN OPEN protocol OPEN platform Open Community Large and active community of innovative developers, integrators, consultants, manufacturers, resellers and end users & A marketplace and forum to interact

OPEN OPEN protocol OPEN platform OPEN distribution

OPEN OPEN protocol OPEN platform OPEN distribution Ability to choose best-of-breed products and service providers Preserve existing investments Take advantage of new technology and products without abandoning what you already have Develop bespoke solutions if needed through a global Community More competitive bidding and life cycle costs No lock in

Resilience

Smarter Buildings & Facilites The convergence of IoT, analytics, and asset management IoT Data Monitoring & Control Analytics Automated Fault Detection & Diagnosis Asset Management Maintain, Manage & Maximize Track performance Monitor energy Control demand Anticipate faults Identify anomalies Make sense of data Predictive maintenance Reduce downtime Increase efficiency

Client Specific Geo Referenced Asset Coding - Definition

Niagara Framework solves integration N to N Lots of Connections, Complexity and Cost Creates a Barrier to Deployment of Solutions N to 1 Information representation is normalised

Energy

Monitoring

Typical systems and solutions CRACs Other HVAC UPS Power chain management Metering Final circuit/rack monitoring Lighting Space utilisation Tenant billing (Co-Lo) Access control Intrusion detection CCTV Fire detection Standby generators Heat mapping/thermal Asset management TRIAD, FFR,STOR Analytics

Capacity Planning

Colt The Brief Colt Data Centre Services is an award-winning company offering flexible and affordable IT infrastructure solutions to a wide range of clients. Colt operates 29 data centers around Europe and Asia, covering 56,000sqm with 24/7 protection and support. Colt delivers integrated network, data center, voice and IT services. Security and reliability of service are central to Colt s business. Customers include 18 of the top 25 bank and diversified financial groups and 19 of the top 25 companies in the global media and telecoms industries.

Colt The Solution System Monitoring Predicative Maintenance Energy Monitoring & Targeting Niagara used to provide integrated approach to multiple platforms around the Multiple vendors managed via common platform including Trend, Siemens, Schneider Electric & Johnson Controls. Multiple networks and protocols including BACnet, Modbus, KNX & LonWorks Single S.P.O.G. graphical interface across all systems

Colt Chiller control & C.R.A.C. Units Generators Alarms, fuel, electrical monitoring, hours run to enable legislative compliance. Load and Capacity Management Free Cooling Regime Alarm management and monitoring with priority alarms routed by SMS to engineers 24/7 Remote Independent Monitoring via two Niagara servers for full resilience. Report generation and automated production of M.I. Combines with on site maintenance system.

Performance Management

Tridium - Introduction Jimmy Jose Jan 2017 The Connected Data Centre Russ Mckay- IBM

Data Analytics What Is It & Who Cares? A world of connected devices results in an ever-flowing torrent of Big Data Data by itself is not valuable the value comes from what you do with the data Typical Data Centre will have over 25,000 points data points that can be harvested and used for condition based maintenance It needs a tool that can convert data into value by analysis, trending and using the data to optimize operations and maintenance of the complete data centre.

End-to-End Data Flow Gateway Maximo IBM Watson IoT Platform Applications 01 0110 0010 001001 Gateway PUBLISH SUBSCRIBE We use MQTT or MQ Telemetry Transport to get data into our platform. MQtt is a publish/subscribe, extremely simple and lightweight messaging protocol, designed for low-bandwidth, high-latency or unreliable networks.

We monitor what s happening using a range of sensors IBM Maximo IoT Sensors Maximo 01 0110 0010 001001 IBM Watson IoT Platform IBM Analytics BMS integrated Sensors Using our iot Platform we can integrate traditional IoT sensors with BMS based sensors providing a normalised dataset from multiple sources

The Life-Cycle of an Asset Occupancy Actual Asset Maintenance Energy usage Air quality improvement Physical Asset Real Time Operational Data Environment Digital Twin Energy plans Rooms booked / occupied HVAC models Build Plans Design CAD Continuous Improvement Energy pre Occupancy 2 As an asset evolves, things change. Lots of data is produced to help manage the physical asset so we have the asset represented digitally as well as physically. Some people call this the Digital Twin.

Simple AHU condition based maintenance scenario Increasing Fan current + Increasing Pressure Drop + Decreasing Air Quality Diagnosis = Dirty Filter Action = Raise Work Order to Change Filter

Apply the previous scenario to a complete data centre Apply condition based maintenance to all DC assets. Reduce breakdowns Reduce PM reliance Increase asset life Know when assets are starting to fail and service them before failure occurs.

Tridium - Introduction Jimmy Jose Jan 2017 Thank You Russ Mckay- IBM ShaunTaylor - Tridium