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1. (WO2018031468) TECHNIQUES DE GESTION DE DONNÉES SÉCURISÉE
Note: Texte fondé sur des processus automatiques de reconnaissance optique de caractères. Seule la version PDF a une valeur juridique

CLAIMS

What is claimed is:

1 . A method for secure data management, comprising:

converting at least a portion of a first plurality of data streams from a plurality of data sources into an unstructured format to create a second plurality of unified format data streams;

generating, based on the second plurality of unified format data streams, at least one normalized data stream, wherein each normalized data stream is one of the second plurality of unified format data streams standardized with respect to at least one standardization parameter; and

generating at least one virtual meter, wherein each virtual meter is a visual representation of one of the at least one normalized data stream.

2. The method of claim 1 , wherein the at least one standardization parameter includes at least one other data stream of the plurality of data streams.

3. The method of claim 1 , further comprising:

combining at least one sensor signal data stream of the second plurality of unified format data streams with at least one user input data stream of the second plurality of unified format data streams to create at least one combination data stream, wherein the at least one normalized data stream is generated based further on the at least one combination data stream.

4. The method of claim 1 , further comprising:

validating the first plurality of data streams based on at least one predetermined database schema; and

filtering any non-validated data streams of the first plurality of data streams to create a third filtered plurality of data streams, wherein the at least a portion of the second plurality of data streams includes the third filtered plurality of data streams.

5. The method of claim 1 , wherein the at least one standardization parameter includes at least one goal-defining parameter, wherein each goal-defining parameter is a constraint indicating a context for achieving a result.

6. The method of claim 5, further comprising:

generating, based on the at least one normalized data stream and the at least one goal-defining parameter, at least one recommended action for achieving a goal.

7. The method of claim 6, wherein generating the at least one recommendation further comprises:

applying a machine learning model, wherein inputs to the machine learning model include the at least one normalized data stream and the at least one goal-defining parameter, wherein outputs of the machine learning model include at least one recommended action, wherein the machine learning model is trained using data streams associated with predetermined successfully met goals.

8. The method of claim 7, further comprising:

monitoring the first plurality of data streams after implementation of the at least one recommended action; and

determining, based on the monitoring, whether the at least one recommended action successfully achieved the goal.

9. The method of claim 1 , wherein each of the plurality of data sources is deployed in a smart city, wherein the first plurality of data streams includes data streams indicating at least one of: building information, resident feedback, usage of resources, output, and weather.

10. A non-transitory computer readable medium having stored thereon instructions for causing a processing circuitry to execute a process, the process comprising:

converting at least a portion of a first plurality of data streams from a plurality of data sources into an unstructured format to create a second plurality of unified format data streams;

generating, based on the second plurality of unified format data streams, at least one normalized data stream, wherein each normalized data stream is one of the second plurality of unified format data streams standardized with respect to at least one standardization parameter; and

generating at least one virtual meter, wherein each virtual meter is a visual representation of one of the at least one normalized data stream.

1 1 . A system for secure data management, comprising:

a processing circuitry; and

a memory, the memory containing instructions that, when executed by the processing circuitry, configure the system to:

convert at least a portion of a first plurality of data streams from a plurality of data sources into an unstructured format to create a second plurality of unified format data streams;

generate, based on the second plurality of unified format data streams, at least one normalized data stream, wherein each normalized data stream is one of the second plurality of unified format data streams standardized with respect to at least one standardization parameter; and

generate at least one virtual meter, wherein each virtual meter is a visual representation of one of the at least one normalized data stream.

12. The system of claim 1 1 , wherein the at least one standardization parameter includes at least one other data stream of the plurality of data streams.

13. The system of claim 1 1 , wherein the system is further configured to:

combine at least one sensor signal data stream of the second plurality of unified format data streams with at least one user input data stream of the second plurality of unified format data streams to create at least one combination data stream, wherein the at least one normalized data stream is generated based further on the at least one combination data stream.

14. The system of claim 1 1 , wherein the system is further configured to:

validate the first plurality of data streams based on at least one predetermined database schema; and

filter any non-validated data streams of the first plurality of data streams to create a third filtered plurality of data streams, wherein the at least a portion of the second plurality of data streams includes the third filtered plurality of data streams.

15. The system of claim 1 1 , wherein the at least one standardization parameter includes at least one goal-defining parameter, wherein each goal-defining parameter is a constraint indicating a context for achieving a result.

16. The system of claim 15, wherein the system is further configured to:

generate, based on the at least one normalized data stream and the at least one goal-defining parameter, at least one recommended action for achieving a goal.

17. The system of claim 16, wherein the system is further configured to:

apply a machine learning model, wherein inputs to the machine learning model include the at least one normalized data stream and the at least one goal-defining parameter, wherein outputs of the machine learning model include at least one recommended action, wherein the machine learning model is trained using data streams associated with predetermined successfully met goals.

18. The system of claim 17, wherein the system is further configured to:

monitor the first plurality of data streams after implementation of the at least one recommended action; and

determine, based on the monitoring, whether the at least one recommended action successfully achieved the goal.

19. The system of claim 1 1 , wherein each of the plurality of data sources is deployed in a smart city, wherein the first plurality of data streams includes data streams indicating at least one of: building information, resident feedback, usage of resources, output, and weather.