It’s all right here Case Study: Asset Management 2.0 - A ...€¦ · It’s all right here...

It’s all right here

Case Study: Asset

Management 2.0 - A Smarter

Approach

Infrastructure Asset Management EastPresented by Dave Peplinski

Asset Management, City of Cambridge



“Internet of Things”

Smarter cities

Smarter

vehiclesSmarter home Smarter health

Smarter factories

Smarter transportation

Cloud, Apps,

and Services

Gartner:

“The Internet of Things (IoT) is the network of physical objects that contain

embedded technology to communicate and sense or interact with their internal

states or the external environment.”

http://www.gartner.com/technology/research/internet-of-things/?utm_source=itg&utm_medium=interlink&utm_campaign=corso


The Hype curve


Smart-Everything

- Smart Parking: Embedded sensors in parking spots to

indicate occupied/free spots

- Smart Metering: Connected water meters providing real

time usage data

- Smart Lighting: Street lighting, brightens and dims as

needed

- Smart Manholes: Notification when surcharging


A General Process

1) Sensors provide information about a device

(DEVICE)

2) Data imported through a gateway or protocol

translation (IMPORT)

3) Data collected to a centralized database

(DATABASE)

4) Data drives real time analytics and business rules

(RULES)

5) Rules trigger actions – an alert, a work order, a

status change, a condition code (ACTION)

6) Triggered actions may feedback to update original

condition data (FEEDBACK)


Real-world Considerations

Support: Billions of devices = Billions of failure points,

harsh environments

Data Stewardship: a literal torrent of incoming data –

verifying health, maintaining access, performing analysis

Security: Billions of devices = billions of potential

exploitable holes

Cost: Predictions of BILLIONS of devices – in a municipal

world, who pays?

Benefit: What benefit does this bring to the

organization?


Support

A little known IT truth: Things just….break

- If a device goes offline, who has responsibility for:

- Recognizing the problem, diagnosing the fix

- Performing the fix

- Replacing the device, if necessary

- Response times for diagnosis & fix

- When a device needs to be upgraded – and it will – who

has responsibility for upgrades?

- Who upgrades remotely

- If a remote upgrade fails, who retrieves and fixes?


Support

Upgrades, upgrades, upgrades.

If the vendor comes out with Device 2.0 – a completely new

product – do you

- Pay for new devices, install yourself ($$)

- Outsource everything to a vendor ($$$$)


Data Stewardship

• Who owns any data?

• How do you ensure any data is available forever?

• How do you organize the data?

• How do you deliver detailed and executive reporting

information? Is a real time view required?

• How do you ensure data remains accurate, uncorrupted,

clean?

• Does incoming data trigger immediate reactions? How

does that business process work?


Security

Secure devices today can be rendered insecure in the

future... requiring individual upgrades, if they are even

available

What if the device manufacturer goes out of business or

stops support?

While your network may not be sensitive, hackers could use

an exploit to take over an entire network. – ex: Samsung

smart fridge with Gmail calendar


Security


Constructing a business case

Can a traditional business case be constructed showing

positive return, once capital and ongoing operating costs

are compared to savings?

Does the project result in increased service levels that the

public actually WANTS?


Cost

Owning sensors & networks often may not be your best

choice:

• Combines the upfront capital cost along with all ongoing

support and maintenance costs

• Necessary for ongoing mission critical data where you

MUST maintain uptime and data

Leasing/renting/vendor managed devices and networks:

• Useful for temporary or one-off studies

• Must carefully spell out vendor responsibilities and

response times


Benefits – Increased Revenue

Increased revenue examples:

- Better utilization of parking

- More accurate utility meter reading

- More frequent utility billing cycle


Benefits – Cost Avoidance

Examples of traditional cost savings at a municipality:

- Reduced energy usage or shifts to off peak rates

- Asset life extension – pumps, motors, equipment

- Better fleet utilization

- Claim avoidance

- Increased efficiency in municipal operations

- Loss prevention


Benefits – Citizen Service

The “Intangibles” which are difficult to cost, but certainly

influence the attractiveness of a project:

- Online, up to date billing and outage information for water

utilities

- Public Visibility on municipal operations:

- Snow clearing operations

- Leaf pickup operations

- Street sweeping


Some examples from

Cambridge• Vehicle GPS system (AVL)

• Inflow & Infiltration – Sewer flow monitoring

• Runtimes & Preventative maintenance

• (Proposed) Smart water meter project

• Water Leak listeners


The wealth of data from AVL

Automatic Vehicle Locator(AVL):

• Provided through ESRI Canada

• ~120 vehicles monitored, almost all self-propelled fleet

eventually, + some unusual installations

• Advanced units on spreaders transmit salt spreading

rates; basic units have an auxiliary input – for emergency

lights, vehicle status, etc.


AVL Simplified System Diagram


The AVL Process

1) DEVICE: Purchased GPS units with Cell connections

installed in City vehicles

2) IMPORT: Vendor processes incoming GPS messages

+ other status data (sweeping on/off, plow position, salt

spread rate)

3) DATABASE: Vendor database + Real-time streaming

to our GIS system, further processing + preservation.


The AVL Process

4) RULES

Analytics:

– Road Patrol tracklog

– Street Sweeping Progress

– Claims defense

– Plowing and salting progress

– Grass cutting performance

5) ACTION

- Missed appointment alerts

- Mismatched equipment entries

- Plow route deviations

6) FEEDBACK – none in this case


AVL - Considerations

Support: Mostly with us.

• We install, debug maintain, replace GIS units (monitoring)

• We support incoming data process

• Had an issue new gen of GIS units

Data Stewardship

• OWNERSHIP and INTEGRITY of GPS data was a key

factor for us – Claims history

Security:

• Can cell network be hacked?


AVL – Cost/Benefit

Costs:

Capital:

• Upfront device purchase, start up fees, 1st year monitoring

fee

• Purchase and config of incoming data stream software

Operational or internal:

• Yearly service fee per unit

• Installation, debug, monitoring by Fleet and AM staff

• Analytics development & review: Internal, AM and GIS

staff


AVL – Cost/Benefit

Benefits:

• CLAIM DEFENCE: documentation of vehicle activities for

road, sewer, water claims.

• Efficiency analysis of operations

• Loss Prevention


Inflow & Infiltration

A program to identify sewer inflow and infiltration locations,

using sewer flow monitors along with rainfall data from our

pump stations, collected through our SCADA system

A “Fit for Purpose” situation


The I&I Process

1) DEVICE: Weir based flow monitors installed in

manholes; automatic rain gauges at pump stations

2) IMPORT: Manual data collection of flow data; manual

extraction of rain data

3) DATABASE: Manual upload into GIS tables

4) RULES: Analysis of sewer flows & rainfall to find I/I

possibilities

5) ACTION: Create follow up CCTV orders

6) FEEDBACK: none


Inflow & Infiltration

ConsiderationsSupport: Vendor installs, maintains and collects sewer flow

data

Data Stewardship: Vendor supplies data according to our

specifications; we own data; We must check for integrity for

both sewer flows and rainfall.

Security: No concerns


Inflow & Infiltration Cost /

BenefitCosts: Monthly fee for each flow monitoring unit. Internal

resources for uploading & analyzing data

Benefits: Indicates areas of concern for CCTV or smoke

testing follow up – producing sewer spot repair, water leak

investigation or relining


Runtimes and Preventative

MaintenanceVehicle odometers and hour meters, drive preventative

maintenance orders


The Runtime Process

1) DEVICE: Data collection required at pumps before

fuel dispensed – not automatically collected…Ran

out of $$.

2) IMPORT: Fuel system polls pumps and collects

transaction data

3) DATABASE: Imported from fuel system(MS-SQL)

to WMS system (Oracle)

4) RULES – New Meter reading must be greater than

old reading

5) ACTION: PM Generation; mileage analysis

6) FEEDBACK: none


Runtimes and Preventative

Maintenance ConsiderationsSupport: All internal; Fuel system vendor doesn’t charge

support

Data Stewardship; Data resides on our system.

Security: Requires valid operator number to enter meter

information; all data within our network

Costs: Upfront capital fees, development fees. Ongoing

maintenance, occasional corrections required

Benefits: Elimination of manual collection process; timely

scheduling of preventative service, including the ability to

predict due dates


Mobile inspections

Mobile devices used to inspect assets and drive repair work.


The Mobile Inspection Process

1) DEVICE: Mobile GIS applications on tablets

2) IMPORT: VPN connection to City network; real time

updates of GIS inspection tables from tablet

3) DATABASE: Stored in separate inspection tables for

each asset class.

4) RULES: Answers on certain questions drive work order

creation; answers used for condition monitoring

5) ACTION: Create WMS Workorder

6) FEEDBACK: Update inspection info with work order

data, update again when complete


Mobile Inspections

ConsiderationsSupport: GIS support for form creation, maintenance,

ongoing updates of

Data Stewardship: Monitoring program progress;

checking current year data quality against previous years

Security: Tablet security regarding theft and unauthorized

access


Mobile Inspections

Cost/Benefit

Costs: Upfront costs consists of tablets, form development,

training, interfaces.

Benefits: Assists proactive maintenance compliance;

Automation of work initiation; Condition data on assets


Smart Meters

Installation of wireless enabled meters to transmit close-to-

real-time consumption and leak information.


The Smart Meter Process

1) DEVICE: Meters transmit usage and leak info to

local wireless collectors

2) IMPORT: Wireless network collects and forwards

data to Meter Data Management system (MDM)

3) DATABASE: Data resides in MDM system

4) RULES: consumption data validated against rules;

5) ACTION: Suspect leaks create investigation WOs.

Customer-side leaks generate customer

notifications

6) FEEDBACK: ability to throttle valve remotely


Smart Meter Considerations

Support: Complex:

• wireless network mounted on poles

• thousands of devices located in houses with limited

access.

• New skills required by technicians and staff

Data Stewardship: Internal divisions, with data needing to

be shared across departments. Possible leaks must be

validated; “Big Data” must be checked for consistency

Security: Complex: Wireless networks open for hijacking,

security holes require remote upgrades


Smart Meters Cost Benefit

Costs: Significant capital costs:

• New meters, installation

• Wireless network construction or sharing existing

• Complex meter data management system

• Interfaces to WMS, Water billing system

Benefits:

• Business case justified using water loss reduction

• Customer service benefits: self-service daily water

usage; internal leak notification

• Monthly billing from current bi-monthly


Caution!

Leak listening detectors – a project initiated by Public

Works.


The Leak Detection Process

1) DEVICE: Pairs of listening devices installed on

water valves acoustically listen for leaks

2) IMPORT: Listeners are collected after a few days

and manually uploaded

3) DATABASE: Data uploaded to proprietary software;

CSV extract possible. Upload to GIS for history and

reporting.

4) RULES: Software evaluates for possible leaks

5) ACTION: Manually create leak investigation WO in

WMS.

6) FEEDBACK: None.


Leak Detection Considerations

Support: Devices and software a black box; internal

support for uploads and reporting

Data Stewardship: Data must be extracted for a couple

reasons:

• Program history for future years/other technology

• Current year progress

• Archive should vendor cease operations

Security: Low risk; not exposed to internet.


Leak Detection Cost/Benefit

Costs:

• System acquisition

• Interface and GIS development for reporting

• Training, startup costs

Benefits: Leaving pairs of listeners in place over several

days results in better likelihood of leak detection


Organizing a project

Two routes to initiation:

• Internal need identified, search for solutions

• Vendor demonstrations/initiates contact

Regardless: STOP. Create your list of requirements; work

with GIS and IT to validate.

When developing a budget and an RFP, create an accurate

estimate of ongoing support costs, and any internal skills

needed.


What we’re not doing

• Automated pothole identification based on jiggling

smartphones (Levels of service based)

• Automated actions based on weather reports

Really, automated actions of any kind makes me nervous


What’s on the horizon?

- Further operational efficiency reporting and analysis

using GPS data from vehicles

- Driver Interlocks on AVL so we can identify vehicle

operator

- Additional inspection program reporting through GIS

- Smart meter trial for limited sewer catchment.

- A/B/C designation for manholes and sewer pipe flushing

to designate proactive maintenance frequency


Questions?

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