US 12,072,697 B2
Automated device maintenance
Carla Di Cairano-Gilfedder, London (GB)
Assigned to BRITISH TELECOMMUNICATIONS public limited company, London (GB)
Appl. No. 17/593,644
Filed by BRITISH TELECOMMUNICATIONS PUBLIC LIMITED COMPANY, London (GB)
PCT Filed Mar. 18, 2020, PCT No. PCT/EP2020/057530
§ 371(c)(1), (2) Date Sep. 22, 2021,
PCT Pub. No. WO2020/193330, PCT Pub. Date Oct. 1, 2020.
Claims priority of application No. 19164782 (EP), filed on Mar. 23, 2019.
Prior Publication US 2022/0171380 A1, Jun. 2, 2022
Int. Cl. G05B 23/02 (2006.01); G06N 3/08 (2023.01)
CPC G05B 23/0283 (2013.01) [G06N 3/08 (2013.01)] 9 Claims
OG exemplary drawing
 
1. A computer implemented method, using a non-transitory computer-readable storage medium, of scheduling maintenance tasks for a target device, the device having a device type, comprising:
retrieving, from a sequential transactional database, a series of transactions for each of a plurality of devices having the device type, each transaction corresponding to a change of state of one of the other devices;
training a recurrent neural network based on each retrieved series of transactions as a predictor of a subsequent change of state of a device having the device type;
retrieving, from the sequential transactional database, a series of transactions for the target device, each transaction corresponding to a change of state of the device;
predicting a next maintenance task for the target device based on the series of transactions for the target device applied to the recurrent neural network; and
scheduling the predicted next maintenance task for the target device; wherein:
the sequential transactional database is a blockchain database; and
predicting the next maintenance task for the target device includes determining a plurality of predictions of subsequent state changes for the target device until a maintenance task state change is detected.