Streamlining Stormwater Inspections for the City of San Marcos with ArcGIS Integration

About
About City of San Marcos
The City of San Marcos, Texas has experienced rapid growth, with its population growing over 50% between 2010 and 2022. With an estimated population of over 68,000 in 2023, the city's Public Works Department needed a solution to efficiently manage its growing infrastructure and ensure that its stormwater systems could handle storm events effectively. To address these challenges, the city turned to Naviam to automate and streamline stormwater inspections, integrating them seamlessly with their existing IBM Maximo asset management system.
Problem
Challenges in Stormwater Management
Before implementing Naviam’s solution, the City of San Marcos faced several challenges in stormwater management:
- Manual Processes: Stormwater inspections were still largely conducted manually, leading to delays and inefficiencies in tracking stormwater assets and generating work orders.
- Data Entry Errors: Field inspectors were responsible for both conducting inspections and manually generating work orders, which led to errors and inconsistencies.
- Limited Integration: The city’s GIS data and asset management system (Maximo) were not fully integrated, making it difficult to track stormwater assets and create work orders automatically based on field inspection data.
- Inefficient Work Order Creation: Work orders were created manually, which could lead to delays in maintenance and difficulty in tracking progress on stormwater-related tasks.
Solution
GIS Mapping for Maximo
Naviam implemented a solution that integrated ArcGIS Field Maps with IBM Maximo to automate stormwater inspections and work order creation. The solution simplified the way maintenance crews tracked and reported critical stormwater inspections, enhancing workflow and data accuracy.
Key features of the solution included:
- Mobile Stormwater Inspections: Field crews used ArcGIS Field Maps on their mobile devices to perform stormwater inspections. Each stormwater asset (e.g., manholes, inlets, outfalls) was displayed on the map, and inspectors could select the asset they were inspecting and fill out a standardized inspection form.
- Automatic Work Order Creation: Using Naviam Workflows, work orders were automatically created in Maximo if an inspector flagged an asset for maintenance. This automation eliminated the need for inspectors to manually create work orders, reducing errors and speeding up the process.
- Seamless Data Integration: The data collected in the field via ArcGIS Field Maps was automatically synchronized with Maximo, ensuring that all information related to the inspection and work order was up-to-date and available for further action.
- Secure Field Access: The city’s employees could access the system on both city-managed and personal mobile devices, with security ensured through SAML authentication, which validated user credentials while protecting city data.
Result
A Stronger Approach to Stormwater Management
The implementation of Naviam’s solution led to significant improvements for the City of San Marcos:
- Improved Efficiency: Automating the work order creation process and using mobile inspections greatly reduced the time spent on data entry, allowing field crews to focus more on maintenance activities.
- Fewer Errors: The elimination of manual work order creation minimized errors, ensuring that work orders were accurate and that stormwater systems were maintained on schedule.
- Real-Time Data: Inspectors had real-time access to accurate, up-to-date data, and work orders were immediately created in Maximo based on inspection results, streamlining the maintenance process.
- Enhanced Reporting: Dashboards in ArcGIS provided real-time tracking of stormwater inspections and maintenance, improving the city’s ability to monitor and report on the condition of its infrastructure.
- Improved Field Crew Satisfaction: Field crews appreciated the simplicity of the mobile forms and the automatic work order generation, which made their jobs easier and allowed them to spend more time on critical tasks.