METHODS FOR SELF-ORGANIZING DATA COLLECTION AND STORAGE

Abstract

Methods for data collection in an industrial environment having self-organization functionality are disclosed. A method may include analyzing a plurality of sensor inputs and sampling data received from the plurality of sensor inputs. The method may also include self-organizing at least one of: (i) a storage operation of the data; (ii) a collection operation of sensors that provide the plurality of sensor inputs, and (iii) a selection operation of the plurality of sensor inputs. The storage operation includes storing the data in a local database, and summarizing the data over a given time period to reduce a size of the data.

Claims

1. A method for data collection in an industrial environment having self-organization functionality, the method comprising: analyzing a plurality of sensor inputs; sampling data received from the plurality of sensor inputs; and self-organizing at least one of: (i) a storage operation of the data; (ii) a collection operation of sensors that provide the plurality of sensor inputs, and (iii) a selection operation of the plurality of sensor inputs, wherein the storage operation includes storing the data in a local database, and summarizing the data over a given time period to reduce a size of the data.

2. The method of claim 1, further comprising sending the summarized data to one or more data acquisition boxes.

3. The method of claim 1, further comprising sending the summarized data to one or more data centers.

4. The method of claim 1, wherein summarizing the data over a given time period to reduce the size of the data comprises determining a speed at which data can be sent via a network, wherein the size of the summarized data corresponds to the speed at which data can be sent continuously in real time via the network.

5. The method of claim 4, further comprising continuously sending the summarized data to an external device via the network.

6. A method for data collection in an industrial environment having self-organization functionality, the method comprising: analyzing a plurality of sensor inputs; sampling data received from the plurality of sensor inputs; and self-organizing at least one of: (i) a storage operation of the data; (ii) a collection operation of sensors that provide the plurality of sensor inputs, and (iii) a selection operation of the plurality of sensor inputs, wherein the storage operation comprises: storing the data in a local database; summarizing the data over a given time period to reduce a size of the data; committing the summarized data to a local ledger; identifying one or more other accessible signal acquisition instruments on an accessible network; and synchronizing the summarized data at the local ledger with at least one of the other accessible signal acquisition instruments.

7. The method of claim 6, further comprising receiving a remote stream of sensor data from one or more other accessible signal acquisition instruments via a network.

8. The method of claim 7, further comprising sending an advertisement message to a potential client indicating availability of at least one of the data stored in the local database, the summarized data, and the remote stream of sensor data.

9. A method for data collection in an industrial environment having self-organization functionality, the method comprising: analyzing a plurality of sensor inputs; sampling data received from the sensor inputs; self-organizing at least one of: (i) a storage operation of the data (ii) a collection operation of sensors that provide the plurality of sensor inputs, and (iii) a selection operation of the plurality of sensor inputs, wherein the storage operation comprises: storing the data in a local database; summarizing the data over a given time period to reduce a size of the data; identifying one or more other accessible signal acquisition instruments on an accessible network; nominating at least one of the one or more other accessible signal acquisition instruments as a logical communication hub; and providing the logical communication hub with a list of available data and their associated sources.

10. The method of claim 9, wherein the list of available data and their associated sources is provided to the logical communication hub utilizing a hybrid peer-to-peer communications protocol.

11. A method for data collection in an industrial environment having self-organization functionality, the method comprising: analyzing a plurality of sensor inputs; sampling data received from the sensor inputs; and self-organizing at least one of (i) a storage operation of the data, (ii) a collection operation of sensors that provide the plurality of sensor inputs, and (iii) a selection operation of the plurality of sensor inputs, wherein the storage operation comprises: storing the data in a local database; summarizing the data over a given time period to reduce a size of the data; storing the data in a local database; and automatically organizing at least one parameter of the local database utilizing machine learning, wherein organizing is based at least in part on receiving information regarding at least one of an accuracy of classification and an accuracy of prediction of an external machine learning system that uses data from the database.

12. The method of claim 11, further comprising continuously sending the summarized data to an external device via a network.

13. The method of claim 11, further comprising sending the summarized data to one or more data acquisition boxes.

14. The method of claim 11, further comprising sending the summarized data to one or more data centers.