Web services for smart entity management for sensor systems
One or more non-transitory computer readable media contain program instructions that, when executed by one or more processors, cause the one or more processors to perform operations including generating a database of interconnected smart entities. The smart entities include sensor object entities representing each of the plurality of sensors and data entities representing measurements received from the sensors. The smart entities are interconnected by relational objects indicating relationships between the smart entities. The instructions cause the one or more processors to receive a new measurement from a first sensor, identify a first data entity from a relational object for the first sensor, the first data entity including a plurality of past measurements received from the first sensor, and modify the first data entity within the database of smart entities to include the new measurement received from the first sensor.
1. One or more non-transitory computer readable media containing program instructions that, when executed by one or more processors, cause the one or more processors to perform operations comprising:
generating a database of interconnected smart entities, the smart entities comprising sensor object entities representing each of the plurality of sensors and data entities representing measurements received from the sensors, the smart entities being interconnected by relational objects indicating relationships between the sensor object entities and the data entities;
receiving a new measurement from a first sensor of the plurality of sensors;
identifying a first data entity from a relational object for the first sensor, the first data entity comprising a plurality of past measurements received from the first sensor; and
modifying the first data entity within the database of smart entities to include the new measurement received from the first sensor.
2. The non-transitory computer readable media of claim 1 , wherein the instructions cause the one or more processors to:
periodically receive new measurements from the first sensor; and
update the first data entity each time a new measurement from the first sensor is received.
3. The non-transitory computer readable media of claim 1 , wherein the first sensor is configured to send the new measurement to the cloud computing system in response to detecting an event;
wherein the instructions cause the one or more processors to update the first data entity to include a data value representative of the event.
4. The non-transitory computer readable media of claim 1 , wherein the new measurement from the first sensor is received in a first protocol or format, the instructions further causing the one or more processors to:
receive another new measurement from a second sensor of the plurality of sensors, wherein the new measurement from the second sensor is received in a second protocol or format;
convert the new measurement from the first sensor from the first protocol or format into a third protocol or format; and
convert the new measurement from the second sensor from the second protocol or format into the third protocol or format.
5. The non-transitory computer readable media of claim 1 , wherein each of the sensor object entities comprises a static attribute identifying a physical sensor represented by the sensor object entity and a dynamic attribute storing a most recent measurement received from the physical sensor.
6. The non-transitory computer readable media of claim 1 , wherein the first data entity comprises a static attribute identifying the first sensor and a dynamic attribute storing a most recent measurement received from the first sensor.
7. The non-transitory computer readable media of claim 1 , wherein each of the relational objects comprises a first attribute identifying one of the sensor object entities and a second attribute identifying one of the data entities.
8. The non-transitory computer readable media of claim 1 , wherein modifying the first data entity comprises:
using an attribute of the new measurement received from the first sensor to identify a first sensor object entity associated with the first sensor;
identifying a first relational object connecting the first sensor object entity to the first data entity; and
storing a value of the new measurement received from the first sensor in the first data entity identified by the first relational object.
9. The non-transitory computer readable media of claim 1 , wherein the instructions further cause the one or more processors to:
create a shadow entity to store the plurality of past measurements received from the first sensor; and
calculate an average value from the plurality of past measurements stored in the shadow entity.
10. The non-transitory computer readable media of claim 1 , wherein the instructions further cause the one or more processors to:
create a shadow entity to store the plurality of past measurements received from the first sensor; and
calculate an abnormal value from the plurality of past measurements stored in the shadow entity.
11. A method for managing data relating to a plurality of sensors connected to one or more electronic communications networks, comprising:
generating a database of interconnected smart entities, the smart entities comprising sensor object entities representing each of the plurality of sensors and data entities representing measurements received from the sensors, the smart entities being interconnected by relational objects indicating relationships between the sensor object entities and the data entities;
receiving a new measurement from a first sensor of the plurality of sensors;
identifying a first data entity from a relational object for the first sensor, the first data entity comprising a plurality of past measurements received from the first sensor; and
modifying the first data entity within the database of smart entities to include the new measurement received from the first sensor.
12. The method of claim 11 , further comprising:
periodically receiving new measurements from the first sensor; and
updating the first data entity each time a new measurement from the first sensor is received.
13. The method of claim 11 , further comprising:
receiving the new measurement from the first sensor in response to the first sensor detecting an event; and
updating the first data entity to include a data value representative of the event.
14. The method of claim 11 , wherein the new measurement from the first sensor is received in a first protocol or format, the method further comprising:
receiving another new measurement from a second sensor of the plurality of sensors, wherein the new measurement from the second sensor is received in a second protocol or format;
converting the new measurement from the first sensor from the first protocol or format into a third protocol or format; and
converting the new measurement from the second sensor from the second protocol or format into the third protocol or format.
15. The method of claim 11 , wherein each of the sensor object entities comprises a static attribute identifying a physical sensor represented by the sensor object entity and a dynamic attribute storing a most recent measurement received from the physical sensor.
16. The method of claim 11 , wherein the first data entity comprises a static attribute identifying the first sensor and a dynamic attribute storing a most recent measurement received from the first sensor.
17. The method of claim 11 , wherein each of the relational objects comprises a first attribute identifying one of the sensor object entities and a second attribute identifying one of the data entities.
18. The method of claim 11 , wherein modifying the first data entity comprises:
using an attribute of the new measurement received from the first sensor to identify a first sensor object entity associated with the first sensor;
identifying a first relational object connecting the first sensor object entity to the first data entity; and
storing a value of the new measurement received from the first sensor in the first data entity identified by the first relational object.
19. An entity management cloud computing system for managing data relating to a plurality of sensors connected to one or more electronic communications networks, comprising:
one or more processors; and
one or more computer-readable storage media communicably coupled to the one or more processors having instructions stored thereon that, when executed by the one or more processors, cause the one or more processors to:
generate a database of interconnected smart entities, the smart entities comprising sensor object entities representing each of the plurality of sensors, data entities representing measurements received from the sensors, and relational objects indicating a plurality of semantic relationship types, the smart entities being interconnected by the relational objects indicating relationships between the sensor object entities and the data entities;
receive a new measurement from a first sensor of the plurality of sensors;
identify a first data entity of the plurality of data entities from the relational objects by identifying a relational object of a particular semantic type of the plurality of semantic types forming an edge between a sensor object entity of the plurality of senor object entities representing the first sensor and the first data entity, the first data entity including or associated with a plurality of past measurements received from the first sensor; and
modify the first data entity within the database of smart entities to include or be associated with the new measurement received from the first sensor.
20. The system of claim 19 , wherein:
each of the sensor object entities comprises a static attribute identifying a physical sensor represented by the sensor object entity and a dynamic attribute storing a most recent measurement received from the physical sensor;
each of the data entities comprises a static attribute identifying a corresponding physical sensor and a dynamic attribute storing a most recent measurement received from the corresponding physical sensor; and
each of the relational objects comprises a first attribute identifying one of the sensor object entities and a second attribute identifying one of the data entities.