SYSTEM AND METHODS FOR AUTONOMOUS MONITORING AND RECOVERY IN HYBRID ENERGY MANAGEMENT
A method includes receiving, at a translation engine operably coupled to and associated with a first asset from a plurality of assets associated with an energy delivery system, a signal representing operational data from the first asset. The method also includes translating, via the translation engine, the operational data from a first protocol to a second protocol, thereby producing a first modified operational data. The method also includes translating, via the translation engine, at least one of a data label, a unit of measurement, or a value of the first modified operational data from a first data type to a second data type, to produce a second modified operational data. The method further includes sending a signal to cause storage of the second modified operational data in a repository accessible to a user.
1 . A system, comprising:
a first translation engine operably coupled to and associated with a first asset having a first protocol and configured to generate data having a first data type; and
a second translation engine operably coupled to and associated with a second asset having a second protocol different from the first protocol and configured to generate data having a second data type different from the first data type,
the first translation engine configured, during operation, to:
receive a signal, representing first data of the first data type, from the first asset,
translate the first data from the first protocol to a third protocol,
translate at least one of a label or a value of the first data from the first data type, to produce a first transformed data,
append a first set of at least one semantic label to the first transformed data, the first set of at least one semantic label representing a relationship between the first asset and the second asset, and
send a signal to cause storage of the first transformed data in a repository accessible to a user, and
the second translation engine configured, during operation, to:
receive a signal, representing second data of the second data type, from the second asset,
translate the second data from the second protocol to the third protocol,
translate at least one of a label or a value of the second data from the second data type, to produce a second transformed data,
append a second set of at least one at least one semantic label to the second transformed data, the second set of at least one semantic label representing a relationship between the first asset and the second asset, and
send a signal to cause storage of the second transformed data in the repository,
the storage of the first transformed data and the storage of the second transformed data occurring in time-series order,
the repository configured to be queried using a query that does not include a reference to a storage location.
2 . The system of claim 1 , wherein the system is a renewable energy system.
3 . The system of claim 1 , wherein at least one of the first transformed data or the second transformed data is presented to the user in the form of an interactive map.
4 . The system of claim 1 , further comprising a memory communicably coupled to the first translation engine and the second translation engine, the memory storing hierarchical data representing relationships between a plurality of assets of the system, the plurality of assets including the first asset and the second asset.
5 . The system of claim 1 , wherein each of the first asset and the second asset is associated with a single energy storage container.
6 . The system of claim 1 , wherein the first asset is included within a first energy system and the second asset is included within a second energy system different from the first energy system.
7 . The system of claim 1 , wherein each of the first asset and second asset is included within a common energy system.
8 . The system of claim 1 , wherein the first translation engine is configured, during operation, to append the first set of at least one semantic label to the first transformed data based on a static criteria.
9 . The system of claim 8 , wherein the static criteria is a user-specified parameter.
10 . The system of claim 1 , wherein the first translation engine is configured, during operation, to append the first set of at least one semantic label to the first transformed data based on a dynamic criteria.
11 . The system of claim 10 , wherein the dynamic criteria includes an algorithm.
12 . The system of claim 1 , wherein:
the first translation engine is configured, during operation, to append the first set of at least one semantic label to the first transformed data based on a static criteria; and
the second translation engine is configured, during operation, to append the first set of at least one semantic label to the first transformed data based on a static criteria.
13 . The system of claim 1 , wherein:
the first translation engine is configured, during operation, to append the first set of at least one semantic label to the first transformed data based on a static criteria; and
the second translation engine is configured, during operation, to append the first set of at least one semantic label to the first transformed data based on a dynamic criteria.
14 . The system of claim 1 , wherein:
the first translation engine is configured, during operation, to append the first set of at least one semantic label to the first transformed data based on a dynamic criteria; and
the second translation engine is configured, during operation, to append the first set of at least one semantic label to the first transformed data based on a dynamic criteria.
15 . A method, comprising:
receiving, at a translation engine operably coupled to and associated with a first asset from a plurality of assets associated with an energy delivery system, a signal representing operational data from the first asset;
translating, via the translation engine, the operational data from a first protocol to a second protocol, thereby producing a first modified operational data;
translating, via the translation engine, at least one of a data label, a unit of measurement, or a value of the first modified operational data from a first data type to a second data type, to produce a second modified operational data; and
sending a signal to cause storage of the second modified operational data in a repository accessible to a user.
16 . The method of claim 15 , further comprising:
providing the second modified operational data as an input to a machine learning algorithm; and
detecting, using the machine learning algorithm, a modification to at least one asset from the plurality of assets.
17 . The method of claim 15 , further comprising:
detecting a modification event associated with the first asset; and
sending, in response to detecting the modification event, a signal representing an alert to a compute device.
18 . The method of claim 15 , further comprising:
detecting a trend of modification associated with the plurality of assets; and
sending, in response to detecting the trend of modification, a signal representing an alert to a compute device.
19 . The method of claim 15 , further comprising:
detecting a plurality of modification events associated with the plurality of assets;
generating a plurality of signals, each signal in the plurality of signals associated with a corresponding modification event in the plurality of modification events and representing an alert; and
grouping at least some of the signals from the plurality of signals into a notification signal based on an attribute of the plurality of signals, the attribute of the plurality of signals including at least one of a common label, a time, or a size of the plurality of signals.
20 . The method of claim 15 , further comprising:
detecting a plurality of modification events associated with the plurality of assets;
generating a plurality of signals, each signal in the plurality of signals associated with a corresponding modification event in the plurality of modification events and representing an alert; and
sending a first subset of signals in the plurality of signals to a compute device; and
suppressing a second subset of signals in the plurality of signals based on the data label of the second modified operational data associated with the second subset of signals.
21 . The method of claim 15 , further comprising:
presenting the second modified operational data in the form of an interactive map.
22 . The method of claim 15 , wherein the operational data is a first operational data, the method further including:
receiving, at the translation engine, a signal representing a second operational data from the first asset;
modifying at least one of a protocol, a data label, a unit of measurement, or a value of the second operational data to produce a modified second operational data; and
sending a signal representing the modified second operational data to a compute device for presentation, via a GUI and as a part of a visualization, to the user.
23 . The method of claim 15 , wherein the repository is configured to be queried using a query that does not include a reference to a storage location.
24 . The method of claim 23 , further comprising:
generating a response to the query; and
filtering the response based on an attribute of data associated with the response, the attribute including at least one of a data label, a threshold, information protection logic, customer licensing configuration, or a protocol to anonymize the data.
25 . The method of claim 23 , further comprising:
determining an activity level of the second modified operational data based on the query; and
changing a storage protocol of the second modified operational data based on the activity level of the second modified operational data.