Patent ID: 11934364
Assignee: CEREBRUMX LABS PRIVATE LIMITED
Field: Computer technology (Electrical engineering)
Classification: CPC G | IPC G

Claim 8:
9. A method for facilitating estimation of quality of automotive data signals, said method comprising:
receiving, by a processor, a set of data packets from a plurality of distributed storage systems associated with a plurality of automotives at a specific frequency and in specific quantity/numbers;
calculating 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;
determining 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;
converting each of the set of calculated parameters into a numerical value on a specified scale by rescaling each of the calculated parameters into a specified range;
calculating individual quality markers for each of the converted sets of the predefined parameters based on the corresponding assigned weight;
determining an individual automotive signal quality marker (ASQM) based on the calculated individual quality marker for each of the set of the predefined parameters; and
calculating 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.