Remote Sampler Sam Goddard, CSols Ltd (Stand 69) - - PowerPoint PPT Presentation
Remote Sampler Sam Goddard, CSols Ltd (Stand 69) - - PowerPoint PPT Presentation
Beyond the technology beyond the technology A new innovative sample tracking technology for environmental and water samples, from collection to analysis Remote Sampler Sam Goddard, CSols Ltd (Stand 69) sam.goddard@csols.com www.csols.com
Sampling Requirements
- European Water Companies
typically collect between 100k and 1M samples/year
- Clean Water (Houses,
Reservoirs, Treatment Works)
- Dirty Water (Trade Effluent,
Sewage etc)
- Highly regulated as to
methodology and frequency of sampling
- Typically 1- 5 Million houses per
company
Existing Sampling Systems
- Collect data on paper sheets
- Data goes back to LIMS e.g.
SampleManager, LabVantage, LabWare etc.
- Systems are inflexible and error-
prone
- Room for great improvement
Processes
- Scheduled Samples
- Planned by LIMS
- Sampler collects the Samples and
reports back details to LIMS
- Ad Hoc Samples
- A User defines what needs to be
collected e.g. for a burst pipe or complaint
- Sampler collects the Samples
- Samples logged automatically on
LIMS
Remote Sampler: Architecture
The Hub
- Manage the flow of
data
- Get Collection Runs
from LIMS
- Assign and manage
Sampler jobs
- Comprehensive Reporting
- Highlight exceptions
- Approve data back to LIMS
The Hub – Scheduled Samples
- Collection Runs are
- btained from LIMS
- Normally a week or so
- f work is generated
for each Sampler
Hub Allocating Work
- Runs are dragged to the Device
- Physically moved to the device when it is possible
- Samples/Runs can be dragged between devices
- Runs may be modified/merged
Pending Runs Sampler Devices
Handheld Devices
- Must be Rugged
- Large, bright, touch screen
- Vehicle mounting/charging
- Barcode Reader
- GPS
- Mobile Broadband (GPRS)
- PC Windows or Windows CE
Sampler: Wizard
- Simple Wizard
- Large buttons
- On PC Tablets
keyboard always visible
- Behavior
Configurable
Sampler: Performing Checks
- Configurably define
what checks must be done periodically
- Sampling cannot
commence until checks complete
- Specific Responses
required
- Sent back to LabCache
- Permanently associated
with collected Samples
Sampler: Collection
- LIMS knows location
to go to
- GPS can take
Sampler there
- Select a location
Sampler: Enter Onsite Tests
- Questions include LIMS
Onsite Tests and any others configured
- Help provided to Sampler in
Entering Results
- Responses checked
- Calculations performed
- Here and elsewhere in
Wizard …. any deviation from required flow requires Forced Comment to be entered ….. Or User can backtrack and rectify a mistake
Sampler: Scan Bottle Barcodes
- Bottle labels generated by LIMS attached to
Bottles as they are collected
- Bottles scanned
- GPS Coordinates (if available) and date/time
recorded
Sampler: Review
- All entries are reviewed
- Sampler may step back and change anything
- Otherwise Sample is sent back to the Hub immediately
- Normally the Sample details are updated on LIMS automatically
- SampleManager second scan at the bottle receiving Lab
releases the Sample for Testing
Ad Hoc Samples
- Sample Login facilities
available on both the Hub and the Sampler Tablets
- Can do everything that
LIMS Login does e.g Using Templates
- Uses LIMS data held in local
databases
- New Samples/Runs are
created in Remote Sampler and dealt with just as those for Scheduled Samples
- When completed Sample is returned to the Hub, it is
autologged to LIMS (including lab tests)
- User manually matched AdHoc bottle Ids to LIMS
bottle Ids using barcodes
Chain of Custody
- Device barcode scans
locations and bottles
- Hub can scan bottles,
consignments
- Signatures can be
taken if required
- Whole Chain of
Custody can be viewed on the Hub
Lone Working
- If Sampler does not touch
the screen for too long an alert will be raised
- Warnings can be texted or
emailed to a list of contacts
- Sampler’s last location and route can be
viewed on Google maps directly from the Hub
Summary
- Systems are cost-effective, they save
time
- Systems are popular with Users once
established
- Improve quality by validating data at
point of entry, and removing transcription errors
- Improves compliance and