Cooperative and compressive sensing system
A system for sensing in an industrial environment includes a processing node configured to receive a first sensor data from a first sensor and a second sensor data from a second sensor, both of which are disposed in the industrial environment. The processing node is further configured to process randomly sampled data from at least one of the first sensor data and the second sensor data to generate processed sensor data that includes the randomly sampled data. The processing node further configured to identify data of interest from the processed sensor data based on comparison of the processed sensor data with a sampling dictionary of predetermined information. The processing node further configured to filter and assemble the identified data of interest to create a set of compressed data, and transmit the set of compressed data to a predetermined destination.
1. A system, comprising:
processing circuitry configured to
receive first sensor data from a first sensor and second sensor data from a second sensor;
process sampled data, from at least one of the first sensor data or the second sensor data, to generate processed sensor data;
identify first data of interest from the processed sensor data by executing data recognition instructions;
determine whether to modify the data recognition instructions;
in response to the data recognition instructions being determined to be modified,
modify the data recognition instructions to identify the first data of interest,
identify, by executing the modified data recognition instructions, second data of interest from the processed sensor data, and
identify the second data of interest as the first data of interest;
filter the first data of interest to create a set of compressed data; and
transmit the set of compressed data to a predetermined destination.
2. The system of claim 1 , wherein
the processing circuitry is configured to include a plurality of different recognition modules,
each recognition module of the plurality of different recognition modules is configured to identify different data of interest, and
the first sensor data and the second sensor data are selectively mapped to the plurality of different recognition modules so that the processed sensor data selectively includes at least one of the first sensor data or the second sensor data based on one of the recognition modules to which the processed sensor data is provided.
3. The system of claim 2 , wherein the processing circuitry is configured to sample at least one of the first sensor data or the second sensor data at different sampling rates based on which of the different recognition modules the processed sensor data is provided.
4. The system of claim 1 , wherein the processing circuitry is further configured to adjust the sampled data included in the processed sensor data in response to identification of the data of interest.
5. The system of claim 1 , wherein the processing circuitry is further configured to
receive third sensor data of a third sensor, and
add the third sensor data to the processed sensor data in response to identification of the data of interest.
6. The system of claim 1 , wherein the first sensor and the second sensor each comprise at least one of a process measurement sensor, an audio sensor or a video sensor.
7. The system of claim 1 , wherein the processing circuitry is configured to dynamically select one of the first sensor data or the second sensor data to include in the processed sensor data based on an assigned priority of the first sensor and the second sensor, and a level of quality of the first sensor data and the second sensor data.
8. The system of claim 1 , wherein the processed sensor data includes a combination of the first sensor data and the second sensor data based on a predetermined mapping of sensor candidates that include the first sensor and the second sensor.
9. A system, comprising:
a communication interface configured to receive first sensor data from a first sensor and second sensor data from a second sensor; and
processing circuitry configured to
process sampled data, from at least one of the first sensor data or the second sensor data, to generate processed sensor data;
identify ft data of interest from the processed sensor data by executing data recognition instructions;
determine whether to modify the data recognition instructions;
in response to the data recognition instructions being determined to be modified,
modify the data recognition instructions to identify the first data of interest,
identify, by executing the modified data recognition instructions, second data of interest from the processed sensor data, and
identify the second data of interest as the first data of interest; and
filter the first data of interest to create a set of compressed data for transmission to a predetermined destination.
10. The system of claim 9 , wherein
the processing circuitry is configured to execute a plurality of different recognition modules,
each recognition module of the plurality of different recognition modules is configured to identify different data of interest, and
the first sensor data and the second sensor data are selectively mapped to the different recognition modules so that the processed sensor data selectively includes at least one of the first sensor data or the second sensor data based on one of the recognition modules to which the processed sensor data is provided.
11. The system of claim 10 , wherein the processing circuitry is configured to sample at least one of the first sensor data or the second sensor data at different sampling rates based on which of the different recognition modules the processed sensor data is provided.
12. The system of claim 9 , wherein the processing circuitry is configured to adjust the sampled data included in the processed sensor data in response to identification of the data of interest.
13. The system of claim 9 , wherein
the communication interface is configured to receive third sensor data of a third sensor, and
the processing circuitry is configured to add the third sensor data to the processed sensor data in response to identification of the data of interest.
14. The system of claim 9 , wherein the first sensor and the second sensor each comprise at least one of a process measurement sensor, an audio sensor and a video sensor.
15. The system of claim 9 , wherein the processing circuitry is configured to dynamically select one of the first sensor data or the second sensor data to include in the processed sensor data based on an assigned priority of the first sensor and the second sensor, and a level of quality of the first sensor data and the second sensor data.
16. The system of claim 9 , wherein the processed sensor data includes a combination of the first sensor data and the second sensor data based on a predetermined mapping of sensor candidates that include the first sensor and the second sensor.
17. A non-transitory computer-readable medium including computer program instructions, which when executed by a system, cause the system to:
receive first sensor data from a first sensor and second sensor data from a second sensor;
process sampled data, from at least one of the first sensor data or the second sensor data, to generate processed sensor data;
identify first data of interest from the processed sensor data by executing data recognition instructions;
determine whether to modify the data recognition instructions;
in response to the data recognition instructions are determined to be modified,
modify the data recognition instructions to identify the first data of interest,
identify, by executing the modified data recognition instructions, second data of interest from the processed sensor data, and
identify the second data of interest as the first data of interest, and
filter the first data of interest to create a set of compressed data for transmission to a predetermined destination.
18. The non-transitory computer-readable medium of claim 17 , wherein
the computer program instructions further cause the system to execute a plurality of different recognition modules,
each recognition module of the plurality of different recognition modules is configured to identify different data of interest, and
the first sensor data and the second sensor data are selectively mapped to the different recognition modules so that the processed sensor data selectively includes at least one of the first sensor data or the second sensor data based on one of the recognition modules to which the processed sensor data is provided.
19. The non-transitory computer-readable medium of claim 18 , wherein the computer program instructions further cause the system to:
sample at least one of the first sensor data or the second sensor data at different sampling rates based on which of the different recognition modules the processed sensor data is provided.
20. The non-transitory computer-readable medium of claim 17 , wherein the computer program instructions further cause the system to:
adjust the sampled data included in the processed sensor data in response to identification of the data of interest.