Asset Management and Mobile GIS Data Collec6on: Best Prac6ces Using ipads and Tablet Computers

Asset  Management  and  Mobile  GIS  Data  Collec6on:      

Best  Prac6ces  Using  iPads  

and  Tablet  Computers

January  26,  2015   Rob  Musci   Eric  Pescatore        

NEW  ENGLAND  WATER  ENVIRONMENT  ASSOCIATION   SPRING  CONFERENCE  2015   [email protected]     [email protected]      

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Who  Am  I?  …  What  Do  I  Do?...  Rob  Musci,  PE  

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§  Rob  Musci  PE,  BCEE  

§  BS  Environmental  Science  

§  MS  Civil  and  Environmental   Engineering  

§  Senior  Env.  Eng./Project  Mgr.,   CDM  Smith  

§  Co-­‐Developed  handheld  

applica6ons  for  data  collec6on   2002  to  2014  

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Who  Am  I?  …  What  Do  I  Do?...  Eric  Pescatore  

NEWEA  2015  Annual  Conference  

§  Eric  Pescatore,  CFM,  ENV  SP,   GISP    

§  BA  Geography  

§  GIS  Specialist    

§  Mobile  GIS  data  collec6on   specialist  

§  Configured  handheld  

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Outline  

§  GIS  and  informa6on  management  

§  Data  collec6on  

§  From  paper  to  the  cloud….   §  Hardware  overview  

§  Data  collec6on  goals  

§  Case  Study  –  Malden,  MA  

§  Project  management  /  end  users  

§  Summary  

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Why  Are  We  Here?  

§  Mobile  data  collec6on  case  study  

§  Simple  data  collec6on  applica6on  

§  Developed  to  solve  a  6me  sensi6ve  problem  

§  Chosen  as  a  good  example  to  demonstrate  end  user  workflows  

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Why  GIS?  

Knowing  what  and  where  is  important      

•  GIS  is  an  informa6on  system  that  

integrates,  stores,  edits,  analyzes,   shares,  and  displays  spa6al  

informa6on.    

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Why  Mobile?  

•  _{Cost  effec6veness}  

•  _{It’s  beber  than  the  alterna6ve,  and  beber  than  what}  

it  was  in  the  past  

•  _{Must  consider  complexity  of  the  data  to  be  collected}  

§  Mobile  is  not  always  the  best  solu6on  

•  Quality  Control    

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Goals  of  InformaMon  Management…  

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InformaMon  Management  OpMons…  

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Paper  and  Pen     Ø Most  labor   intensive…..     Local  Compu6ng   (spreadsheet  or  DB)  

Ø How  to  process  

field  data……….  

       The  Cloud    

Ø Best  –  mul6  user  

workflow……  

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CreaMng  The  Data  -­‐  Paper  

Paper  Data  Collec6on    

§  Comfortable  method  of  data  

collec6on

§  Will  require  manual  data  entry    

§  May  be  the  best  op6on  for  small  data  

sets  where  the  upfront  programming   is  not  worthwhile  

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CreaMng  The  Data  –  Local  (HD)  

LOCAL  STORAGE  (Excel  /  Access  etc.)    

§  Data  synchroniza6on  needs  to  be  managed  

§  Mul6ple  users  difficult  to  coordinate  

§  Mul6ple  copies  of  the  data    

§  Necessary  

§  Can  create  data  integrity  issues  

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Cloud    

§  Real  6me  data  upda6ng/synchroniza6on  

§  Na6ve  support  for  mul6ple  users  

§  Requires  a  server  infrastructure    

§  Technology  moving  in  this  direc6on

CreaMng  The  Data  -­‐  Cloud  

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Cloud???…  

§  Applica6ons  and  services  running      “behind  the  curtain”  

§  Scalable    

§  Invisible    

§  Physical  loca6on  not  important  

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Hardware  

Smartphones  /  Tablets  /  IPADS  /  PCs  

PCs?  

§    Powerful,  but  cumbersome….  

Smartphones?  

§    Very  portable,  but  too  small….  

Tablets?  

§    Hardware  of  choice  for  several  reasons  

§  Similar  advantages  to  the  phone  (without  the  phone)  

§  Portable  

§  Larger  and  more  manageable  screen  for  applica6ons  

§  Forces  simplicity  

§  Affordable  –  less  than  $1000  in  most  cases  

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Data  CollecMon  Goal  

Create  a  simple  interface  to  place  large  amounts  of  data  into   highly  organized  tables  

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Other  Data  CollecMon  ConsideraMons    

§  Is  two  way  data  needed?  

§  Edit  data  in  the  field?  

§  Provide  staff  with  access  to  data?   §  Data  visualiza6on  

§  Analysis  

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Case  Study  –  Sewer  RehabilitaMon    

Malden,  MA  

§  Design  of  approximately  40,000  linear  feet  of  

Cured-­‐in-­‐place  pipe  liners  in  Malden,  MA  

§  Last  minute  decision  was  made  to  inspect  

several  hundred  manholes  in  the  area   §  Required  detailed  manhole  inspec6ons  

§  Sub-­‐contractor  or…….  

§  In-­‐house  data  collec6on      

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Case  Study  –  Sewer  RehabilitaMon    

Malden,  MA  

§  In-­‐House  data  collec6on      

§  Does  not  require  data  collec6on  tool  to  be  

delivered  to  client    

§  “Slick”  interface  not  needed  

§  Subcontractor  

§  Significant    coordina6on    

§  Standard  delay  was  unacceptable  

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END  

Data  CollecMon  Screen  1:  

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Data  CollecMon  Screen  2:  

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Data  CollecMon  Screen  3:  

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§  Up  front  planning  is  crucial  

§  Making  changes  later  is  costly  and  cause  delays  /  issues  

§  Project  manager  and  IT  interac6on   §  Key  ques6ons  will  drive  en6re  project  

§  What  data  needs  to  be  collected?  

§  What  are  the  uses  of  the  data?  

§  How  will  the  data  be  maintained?  

Project  Management  -­‐  Basics  

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Project  Management    -­‐  Know  The  End  Users  

Most  important    -­‐  This  will  affect  cost    

§  Who  is  using  the  data  

§  Field  personnel  

§  Your  field  personnel  can  work  with  a  system  that  lacks  a“Factory  Polish”    

§  Data  entry  nuances  can  be  managed  

§  Clients  

§  Data  collec6on  must  be  near  perfect  

§  Tes6ng  /  pilot  program  

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Other  ConsideraMons  

§

Has  something  like  this  been  created  before  that  can  be  

leveraged?

§

Number  and  variety  of  devices?

§  Deployment  to  devices    

§

Should  I  apply  new  technology?    

§  Do  you  need  the  new  technology?  

§  Cuong  edge   §  Bleeding  edge   §  Cost   §  Connec6vity?   §  Edi6ng  /  viewing?    

NEWEA  2015  Annual  Conference    

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Summary  

§

Decisions…….  Decisions…….    

§  Weigh  your  op6ons  

§  Pros  and  Cons  

§

Keys  to  success  

§  Understand  the  goals  

§  Understand  your  users  

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QuesMons?  

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