Santa Fe Water Main Break Prediction AI Tool
Sector: Power Transmission • Location: Santa Fe, New Mexico, United States
Source: Santa Fe New Mexican
The City of Santa Fe purchased AI software to predict which water mains are at greatest risk of breaking. The tool uses machine learning and city data including prior main breaks, climate, proximity to roadways and railways, elevation, and soil condition to anticipate water main failures and prioritize repairs.
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Participants
Sponsoring Agency | Obfuscated Data |
Company | Obfuscated Data |
Status
Original status | in use |
Taiyo status | Obfuscated Data |
Taiyo last update | 00-00-0000 |
Available timestamps | 00-00-0000 |
Available timestamp type | Obfuscated Data |
Contact
Contact name | Obfuscated Data |
Phone | 0000000000 |
ObfuscatedData@email.com | |
Address | Obfuscated Data, Obfuscated data, obfuscated data, Obfuscated data |
Description
Description | The City of Santa Fe purchased AI software to predict which water mains are at greatest risk of breaking. The tool uses machine learning and city data including prior main breaks, climate, proximity to roadways and railways, elevation, and soil condition to anticipate water main failures and prioritize repairs. |
Original sub-sector | Obfuscated |
Original Currency | USD |
Original budget | 000000000000000 |
Procurement method | Obfuscated Data |
Budget | 000000000000000 |
Location
Region | Obfuscated |
Country | Obfuscated |
State | Obfuscated Data |
County | Obfuscated |
Location | Obfuscated Data, Obfuscated data, obfuscated data, Obfuscated data |
Source
Source reliability | High |
Data quality score | 100% |
Source | Obfuscated Data |
URL | obfuscated_data,obfuscateddata.com |
More Details
Project Type | Obfuscated Data |
Article Published Date | Obfuscated Data |