US 11,933,774 B1
Leak detection event aggregation and ranking systems and methods
Sean MacMullin, Santa Clara, CA (US); Chris W. Rella, Sunnyvale, CA (US); Aaron Van Pelt, Hayward, CA (US); Alex Balkanski, Woodside, CA (US); Yonggang He, Union City, CA (US); Sze M. Tan, Sunnyvale, CA (US); David Steele, San Francisco, CA (US); and Tim Clark, Nottingham, PA (US)
Assigned to Picarro Inc., Santa Clara, CA (US)
Filed by Picarro Inc., Santa Clara, CA (US)
Filed on Nov. 30, 2022, as Appl. No. 18/060,111.
Application 18/060,111 is a continuation of application No. 17/249,795, filed on Mar. 12, 2021, granted, now 11,525,819.
Application 17/249,795 is a continuation of application No. 15/996,069, filed on Jun. 1, 2018, granted, now 10,948,471, issued on Mar. 16, 2021.
Claims priority of provisional application 62/513,957, filed on Jun. 1, 2017.
This patent is subject to a terminal disclaimer.
Int. Cl. G01N 33/00 (2006.01); G01M 3/04 (2006.01)
CPC G01N 33/0075 (2013.01) [G01M 3/04 (2013.01); G01N 33/0047 (2013.01)] 16 Claims
OG exemplary drawing
 
1. A system comprising at least one hardware processor and a memory storing instructions which, when executed, cause the at least one hardware processor to:
receive collected data including gas concentration and location values collected by a vehicle-borne gas concentration measurement device configured to perform a sequence of geospatially-referenced mobile gas concentration measurements along one or more survey paths;
automatically analyze the collected data to identify a plurality of natural gas leaks; and
generate a list of leaks sorted by hazard level by applying a risk model to the collected data.