HHMI S QUEST FOR FACILITY DATA INTELLIGENCE BIM WITHOUT THE 3D

Transcription

1 HHMI S QUEST FOR FACILITY DATA INTELLIGENCE BIM WITHOUT THE 3D

2 AGENDA About HHMI Janelia Farm Research Campus Current Facility Management Challenges Current Facility Data Infrastructure A Database Approach as a Basis for Data Intelligence Implementation Plan Pilot Projects Database Implementation Next Steps

3 ABOUT HHMI JANELIA FARM RESEARCH CAMPUS HHMI founded in 1953 by the Howard Hughes Nation s largest non-profit medical research organization and largest private supporter of academic biomedical research, with ~ $16 B in assets Supports ca. 330 HHMI Investigators and their labs in host institutions, plus 55 Lab Heads and their teams at JFRC Supported the work of 23 Nobel Laureates to date Completed in 2006/7, JFRC comprises 20 buildings with 1.1 million sq.ft. of floor space, situated on 689 acres Mini campus, with 500,000 sq.ft. research building, conference hotel and 200 living units, as well as 3 leased office buildings

4 CURRENT FACILITY MANAGEMENT INFORMATION CHALLENGES Laboratory building fit out constantly evolving ensure that the building is 100% mission capable for Janelia s science, whatever that science may be Highly demanding research environments Maintain EM areas to ΔT 0.5 F for multiple months in face of all exterior challenges BAS with >35,000 data points Buildings are 7 years old, and beginning to show first signs of wear and tear Project handover done in the traditional manner Pallet load of binders and drawings Required information standards on critical systems not well defined Limited information receiving infrastructure put in place Information not easily to hand and certainly not easily searchable Information increasingly disparate as subsequent fit out projects have proceeded at rapid pace

5 CURRENT FACILITY DATA INFRASTRUCTURE Systems CMMS Accruent 360Facility BAS Siemens Apogee Space /Move Management FM:Systems Facility Condition Assessment: iplan Construction: BIM360 Engineering information Drawings in hard copy, PDF and DWG on site servers Documents in binders by project / trade / contractor Materially hampered in translating this information into intelligent FM information by inaccessible, poorly structured and at times invalid engineering information Probably not very different from many facilities

6 A DATABASE APPROACH AS A BASIS FOR DATA INTELLIGENCE Began investigating database solutions in 2011and became aware of BIM (Building Information Modeling) through our architect partners Saw the database underlying a BIM as a means of: Addressing our need to update, organize, classify and make readily available (e.g. searchable) information to all constituents Providing a sound engineering platform for future project work Currently focused on the I in BIM, and not the 3-D GUI aspect

7 A DATABASE APPROACH AS A BASIS FOR DATA INTELLIGENCE BIM-focused General Contractor delivery of documentation via a project-specific FTP site is in effect a distributed electronic pallet of binders and drawings Needed own PM- and FM-capable database above the BIM databases to integrate and manage information from ongoing disparate projects Information about an AHU in Townhome A-2 (2007) may well be relevant to the AHUs in Apartment Building A (2011) and Apartment Building B (2014, in construction) Partnered with EcoDomus to develop and provide this capability Significant support from our IFM service provider, JonesLangLaSalle and our GC, Skanska USA

8 A DATABASE APPROACH AS A BASIS FOR DATA INTELLIGENCE Utilize open industry standards as far as possible to avoid being locked into one vendor relationship the untenable costs of creating custom software Utilize COBie for collecting project data as it becomes available and storing it in a normalized, common dataset Enables data quality control due to standardized datasets Facilitates rapid upload of handover data into CMMS / CAFM in hours rather than months Utilize open classification systems such as OmniClass Table 23 and (to a lesser extent) Table 21 Construction lens vs. FM lens

9 COBIE SCHEMA Courtesy Ecodomus

10 OVERALL IMPLEMENTATION PLAN Make business case to top management Demonstrate that we can effectively and beneficially run a greenfield project from design through to FM handover in a BIM environment Pilot: Relatively simple, low risk 117,000 sq.ft. apartment building Demonstrate that we can cost-effectively and beneficially (a)as-build and collate engineering documentation into a BIM database (b)utilize the above to materially improve our operations and maintenance capability (c)utilize the above as a platform for future engineering work Pilot: Mission-critical chilled water and cooling tower water system down to all in-line valves and instruments Multi-year implementation system-by-system

11 COST EFFECTIVE MODELING / DATABASE DEVELOPMENT PERCEIVED VALUE IS VERY MUCH USER-DRIVEN AN OPERATOR OF CRITICAL SYSTEMS MAY WELL SEE MORE VALUE IN A MORE COMPLEX MODEL AND ASSOCIATED DATABASE THAN MIGHT AN APARTMENT BUILDING OPERATOR

12 85/15 DATABASE IMPLEMENTATION Focus on information needed to support FM where ~85% of building lifecycle costs are incurred Take into account the needs of other data systems such as CMMS and contractor QC systems: CMMS need for a unique asset identifier Operations team need for meaningful asset identifiers on the floor Construction team need to barcode and tag building components Utilize traditional System-Type-Sequential Number tags even though BIM and EcoDomus databases don t really need them

13 85/15 DATABASE IMPLEMENTATION Define Asset Types The BIM objects we care about Define Building and Site Systems FM people tend to treat buildings as collections of interlocking systems Understanding system components and interactions is a critical element of FM Define Naming Conventions for Asset Types and Components Define Required Attributes for Types and Components The information we care sufficiently about to want it to be in the model / database Searchable vs. linked information Define Documentation Categories Project viewpoint vs. FM viewpoint Define Impacts both upstream and downstream

14 ASSET TYPES OMNICLASS No. OMNICLASS DESCRIPTION EXAMPLES Roof Drains Roof drains Doors All doors Windows All windows Fireplaces All fireplaces Residential Food Cooking Equipment Residential ranges, ovens Residential Dishwashers Residential diswashers Residential Waste Disposal Units Residential waste disposal units Residential Freezers and Fridges Residential freezers and fridges Residential Cooking Ventilation Equipment Residential exhaust hoods above / at cooking ranges Residential Combination Washers and Dryers Residential combination washers and dryers Elevators All elevators Chutes Refuse chutes Centrifugal Pumps All centrifugal pumps Diaphragm Pumps All diaphragm pumps Tanks All tanks and storage structures Valves All valves Recycling Equipment Cardboard balers, trash compactors Fire Hydrants Fire Hydrants Fire Extinguishers Fire Extinguishers Fire Alarm Pull Stations Fire pull stations Fire Detectors Smoke detectors, heat detectors, flame detectors Fire Switches Water flow switches, tamper switches Fire Alarm Annunciator Panels Fire alarm annunciator panels Fire Alarm Control Panels Fire alarm control panels Combination Audible and Visible Fire Notification Devices Combination audible and visible fire notification devices Fire Pump Controllers Fire pump controllers Jockey Pump Controlers Jockey Pump Controllers

15 ASSET TYPES Faucets Faucets Sinks Sinks Bathtubs Bathtubs Toilets Toilets Floor Drains Floor Drains Hot Water Heaters All hot water heaters HVAC Heating Units Unit Heaters Air Handling Units Modular Indoor and Rooftop Air Handling Units Air Conditioning Equipment Split system air conditioning units HVAC Dampers All dampers Fans Fans other than power ventilators Power Ventilators All power ventilators HVAC Condenser Units Rooftop condenser units HVAC Ductwork Diffusers, registers and grilles Electrical Generators All electrical generators Transformers All transformers Electric Motors All electric motors Variable Speed Drives All VFDs Electrical Terminals Electrical receptacles, all; electrical plug connectors Circuit Breakers Circuit Breakers, all Electrical Power Distribution Devices Panelboards, MCCs, PDUs, switchboards, switchgear, busbars, feeders Automatic Transfer Switches All ATSs Dimmer Control Switches All lighting dimmer controls Disconnect Switches All electrical disconnects Lighting Fixtures Lighting fixtures Emergency Lighting Emergency Lighting Exit Illuminated Signs Exit Illuminated Signs Telecommunications Equipment Telephone and radio communications equipment

16 REQUIRED ATTRIBUTES Standardize flow of information as far as possible Provide detailed proforma guidance to construction partners POWER VENTILATORS HEADING TYPICAL UNIT CATEGORY NOTES EXAMPLE Type Name Type Power Ventilator [Manufacturer][Model No] Power Ventilator Greenheck CUE-080-VG Type Description Type Power Ventilator [Hazardous Service][Ventilator Type] [Configuration][CFM] Power Ventilator Hazardous Service Centrifugal Upblast 500CFM OmniClass Number Type Table 23 Level 4 Title for Power Ventilators MasterFormat Type [Number] UniFormat Type [Number] Asset Type Type Fixed Fixed Manufacturer Type Greenheck Model Number Type CUE-080-VG Warranty Duration Unit Number Type Number of months, as "Duration Unit" set to "Months" [60] Replacement Cost $ Type [$2500] Expected Life Years Type [10] Duration Unit Months Type Months Specfication Section Type As identified in Contract Documents [Spec #] Ventilator Type Type Table 23 Level 4 Title for Power Ventilators - Centrifugal; Propeller Centrifugal Configuration Type Ceiling; Downblast; In Line; Sidewall; Upblast Upblast Nominal CFM at 0.1 IN.W.C Static Pressure CFM Type Per Manufacturer Information 500 Hazardous Service Type YES / NO YES

17 REQUIRED ATTRIBUTES Standardize flow of information as far as possible Provide detailed proforma guidance to construction partners Instance Name Component Per Mechanical Schedules Dryer Riser [Area] Apartment B Room Number Component Per Architectural drawings [Room] Tag Number Component Per HHMI Standard [Tag Number] Barcode Component Per HHMI Standard Serial Number Component [ ] Area Served Component Room Number; Zone; Floor [Area] Service Component See Mechanical Schedules Dryer Riser Diameter INCH Component Not applicable Air Volume CFM Component Per Mechanical Schedules 300 Fan Total Static Pressure IN. W.C. Component Per Mechanical Schedules Fan Suction Pressure IN. W.C. Component Not applicable System Static Pressure Setpoint IN. W.C. Component Not applicable Fan RPM RPM Component Per Mechanical Schedules 1725 Fan Power BHP Component Per Mechanical Schedules Fan Motor Power HP Component Per Mechanical Schedules 6-Jan Fan Motor Drive YES / NO Component NO Supply Air Fan Motor Drive Type Component VFD, as applicable Not applicable Fan Motor Electrical Classification Component NFPA Classification: None, Class, Division, Group; As Applicable - Spark Proof Spark Proof Electrical Supply Voltage VAC Component Per Mechanical Schedules 120 Electrical Supply Phases PH Component Per Mechanical Schedules 1 Electrical Supply Frequency Hz Component Per Mechanical Schedules 60 Electrical Panel Number Component Per Electrical Panelboard Schedules Electrical Panel Circuit Component Per Electrical Panelboard Schedules

18 THE UTILITY OF A DATABASE / SYSTEMS APPROACH Analyze an exterior door in Lab Office Pod 2W.150 as A door Part of the building envelope Part of Office Pod 2W.150 depending on the issue you have with the door TRADITIONAL CLASSIFICATION LIMITS THIS HOT WATER CONTROL VALVE ON AN AHU TO JUST ONE SYSTEM 201-V-005 SYSTEM 201 HEATING HOT WATER DATABASE APPROACH ALLOWS YOU TO TREAT THIS VALVE AS PART OF: HEATING HOT WATER SYSTEM SUPPLY AIR SYSTEM BUILDING AUTOMATION SYSTEM DEPENDING ON YOUR NEEDS 801 -V-002 SYSTEM 801 SUPPLY AIR DATABASE APPROACH ALSO ALLOWS YOU TO DEFINE IMPACT OF CLOSING OF VALVE ON: HEATING HOT WATER SYSTEM SUPPLY AIR SYSTEM DEPENDING ON YOUR NEEDS 201-V-006 SYSTEM 201 HEATING HOT WATER

19 NEXT STEPS NOW ADD THE VISUALIZATION Building Information Modeling offers a highly effective means of storing and utilizing key facility data Visualization can materially improve the usefulness of the data Visualization without the data is of limited value

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