Soil boring and probe log aggregation

Purpose

1.1. Automate soil boring and probe log aggregation, centralizing disparate field data from multiple drilling locations for rapid reporting.
1.2. Automating the consolidation of soil test, boring log, and probe results from in-field engineers, reducing manual collation errors.
1.3. Automatedly transform raw, unstructured test data into standardized formats suitable for geotechnical data models and client-ready reports.
1.4. Enable real-time data visibility and automated analytics for soil behavior, stratigraphy, and site characterization.

Trigger Conditions

2.1. New soil test log completion in digital field forms (mobile, tablet, web).
2.2. Automated data upload by Bluetooth- or IoT-enabled testing probes.
2.3. Manual batch import of CSV, Excel, or PDF logs by field technicians.
2.4. Scheduled daily/weekly aggregation triggers for ongoing projects.
2.5. Automated notification when a minimum set of logs is reached for reporting.

Platform Variants

3.1. Smartsheet
• Feature/Setting: Automated row intake via Smartsheet Forms; auto-update triggers push new logs to aggregation workspace.

3.2. Microsoft Power Automate
• Feature/Setting: Automated cloud flow for SharePoint List item added; configure with Excel Online connector for bulk import.

3.3. Google Sheets
• Feature/Setting: Apps Script on form submit; automate aggregation to project summary sheet.

3.4. Zapier
• Feature/Setting: Multi-step Zap; trigger on new Google Drive or Dropbox file, aggregate in Google Sheets or Airtable.

3.5. Dropbox
• Feature/Setting: File upload trigger; automate aggregation using Dropbox API + third-party parsing (e.g., Docparser).

3.6. Docparser
• Feature/Setting: Automated parsing rules for boring logs; auto-export parsed data to cloud platform.

3.7. Airtable
• Feature/Setting: Automated base updates via form submission or API; aggregation view groups and summarizes logs.

3.8. ArcGIS Online
• Feature/Setting: Automated feature layer updates with Field Maps input; batch processing via Python API for aggregation.

3.9. Salesforce
• Feature/Setting: Flow Builder; automate data ingestion from web-to-case into custom object, aggregate with reports.

3.10. Monday.com
• Feature/Setting: Automated board updates on API calls; integration recipes aggregate logs into summary dashboards.

3.11. Quickbase
• Feature/Setting: Pipelines automation for data intake; formula fields automate aggregation by site/project.

3.12. Formstack
• Feature/Setting: Automated workflow; upon form submission, route data to Google Sheets or Airtable for aggregation.

3.13. Zoho Creator
• Feature/Setting: Workflow automation; configure Deluge script to aggregate field logs on form submit.

3.14. Power BI
• Feature/Setting: Automated data refresh from SharePoint or Excel; aggregate and visualize boring logs.

3.15. Tableau
• Feature/Setting: Scheduled extract refresh; automate aggregation from data warehouse/Google Sheet into dashboard.

3.16. Survey123 (Esri)
• Feature/Setting: Automate response aggregation using Survey123 webhooks and ArcGIS REST API.

3.17. Asana
• Feature/Setting: Rules automation triggers by form submission; custom fields auto-update aggregation tasks.

3.18. Notion
• Feature/Setting: Automated database updates via API or import; rollup property aggregates log summaries.

3.19. Amazon S3
• Feature/Setting: S3 event trigger for file upload; Lambda automator parses and aggregates boring logs.

3.20. Microsoft Excel Online
• Feature/Setting: Office Scripts with automated flows; upon row change, aggregate logs automatically in summary worksheet.

Benefits

4.1. Automatedly reduces manual collation errors and duplicate entry in geotechnical operations.
4.2. Accelerates data-driven decision-making by automating report generation from aggregated logs.
4.3. Ensures standardized formatting of probe logs via automation, improving data quality.
4.4. Frees professional staff for higher-value analysis, automating repetitive field-to-report steps.
4.5. Elevates project transparency and auditability by automatedly archiving log aggregations.
4.6. Scale boring log aggregation automation across multiple concurrent projects and teams.
4.7. Enables automatable compliance monitoring with trigger-based audit trails.
4.8. Automated notifications and error checks reduce turnaround for delivering findings.
4.9. Provides a foundation for further automation, such as automated anomaly detection and trend reporting.
4.10. Supports mobile-first, cloud-first workflows by automating aggregation from the field to the office.