US 11,934,364 B2
System and method facilitating determination of automotive signal quality marker
Amit Gupta, Haryana (IN); Sandip Ranjhan, Delhi (IN); and Sarika Gupta, Haryana (IN)
Assigned to Cerebrumx Labs Private Limited, Haryana (IN)
Filed by CEREBRUMX LABS PRIVATE LIMITED, Haryana (IN)
Filed on Oct. 27, 2021, as Appl. No. 17/512,640.
Claims priority of application No. 202111036433 (IN), filed on Aug. 11, 2021.
Prior Publication US 2023/0048139 A1, Feb. 16, 2023
Int. Cl. G06F 16/00 (2019.01); G06F 16/215 (2019.01); G06F 16/2457 (2019.01); G06F 16/248 (2019.01); G07C 5/00 (2006.01); G07C 5/08 (2006.01)
CPC G06F 16/215 (2019.01) [G06F 16/2457 (2019.01); G06F 16/248 (2019.01); G07C 5/008 (2013.01); G07C 5/0841 (2013.01)] 17 Claims
OG exemplary drawing
 
1. A system for estimating quality of automotive data signals, the system comprising:
a plurality of distributed source systems associated with a plurality of automotives, the plurality of distributed source systems being configured to receive the automotive data signals from the plurality of automotives;
a plurality of distributed storage systems to store a set of data packets pertaining to the automotive data signals from the plurality of distributed source systems associated with the plurality of automotives:
a processor; and
a data quality module coupled to the processor, the data quality module being operatively coupled to the plurality of distributed source systems and the plurality of distributed storage systems through a network, the data quality module to:
receive the set of data packets from the plurality of distributed storage systems at a specific frequency and in specific quantity/numbers;
calculate a set of predefined parameters pertaining to automotive data signal quality criterion based on the received set of data packets, wherein each of the predefined parameters is assigned with a weight according to relevance of the corresponding parameter;
determine a data type of the received set of data packets by extracting a set of attributes from the received set of data packets based on the set of predefined parameters;
convert each of the set of calculated parameters into a numerical value on a specified scale by rescaling each of the set of calculated parameters into a specified range;
calculate individual quality marker for each of the converted sets of the predefined parameters based on the corresponding assigned weight;
determine an individual automotive signal quality marker (ASQM) based on the calculated individual quality marker for each of the set of the predefined parameters; and
calculate an overall ASQM by summing the determined individual signal quality markers for the set of the predefined parameters and multiplying the summation by a predetermined data type quality value;
facilitating optimizing resources associated with storage, processing, and networks based on the calculated overall ASQM by determining whether the automotive data signals need to be discarded or used for deriving insights based the calculated overall ASQM with respect to a predetermined range, generating insights using the automotive data signals based on the overall calculated ASQM when determined that the automotive data signals are used, and identifying frequency of collection and data quality before processing data to optimize the resources based on the overall calculated ASQM.