US 11,941,920 B2
Apparatus and method of providing automotive preventive maintenance service
Jun Sik Im, Seoul (KR); and Jong Soon Im, Seoul (KR)
Assigned to GLOBIZ CO., LTD., Seoul (KR)
Filed by GLOBIZ CO., LTD., Seoul (KR)
Filed on Dec. 26, 2019, as Appl. No. 16/727,641.
Prior Publication US 2021/0201598 A1, Jul. 1, 2021
Int. Cl. G07C 5/00 (2006.01); G06Q 10/30 (2023.01); G06Q 30/0601 (2023.01); G07C 5/08 (2006.01)
CPC G07C 5/006 (2013.01) [G06Q 10/30 (2013.01); G06Q 30/0631 (2013.01); G07C 5/008 (2013.01); G07C 5/0808 (2013.01)] 11 Claims
OG exemplary drawing
 
1. An apparatus for providing an automotive preventive maintenance service, the apparatus comprising:
a vehicle information creator that creates vehicle information including vehicle diagnosis information obtained in real time while a vehicle is driven and vehicle state information showing a current state of the vehicle;
a vehicle breakdown generation predictor that creates vehicle part states each composed of a preventive maintenance emergency degree and a vehicle part based on the vehicle information, and predicts breakdown generation of the vehicle;
an automotive repair shop recommender that recommends an automotive repair shop based on a cost or a distance based on the preventive maintenance emergency degree in at least one of the vehicle part states; and
a preventive maintenance service compensator that detects whether to perform a maintenance service about a corresponding vehicle part state according to the preventive maintenance emergency degree, and provides preventive maintenance service compensation, wherein
the vehicle breakdown generation predictor summarizes a vehicle state based on sensing values collected for a specific period from a plurality of sensors installed in the vehicle, calculates a distribution summary of the vehicle state for a plurality of specific periods, determines an abnormal situation about a specific sensing value of the vehicle part through the distribution summary of the vehicle state, and predicts the breakdown generation by performing diagnosis about the abnormal vehicle part,
the vehicle breakdown generation predictor summarizes the vehicle state by classifying, based on measurement ranges in which the sensing values are included, the sensing values collected for the specific period for each sensor of the plurality of sensors into indexes corresponding to the measurement ranges and calculating index values for a plurality of diagnosis items constituting the vehicle state bar averaging the indexes into which the sensing values collected for the specific period are classified, creates a multi-dimensional coordinate system composed of coordinate axes respectively corresponding to the plurality of diagnosis items, and calculates distribution about a plurality of the index values for the plurality of specific periods in the multi-dimensional coordinate system,
in the vehicle breakdown generation predictor, first safety standards are determined based on distribution about the index values in the multi-dimensional coordinate system and the index values in the multi-dimensional coordinate system are calculated on the basis of sensing values in a time domain at every first cycle,
second standards are determined based on distribution of diagnosis indexes and the diagnosis indexes are calculated on the basis of sensing values in a frequency domain at every second cycle longer than the first cycle,
a first sampling cycle of the sensing values for calculating the index values is longer than a second sampling cycle of the sensing values for calculating the diagnosis indexes, and
the vehicle information creator, the vehicle breakdown generation predictor, the automotive repair shop recommender, and the preventative maintenance service compensator are each implemented via at least one processor.