On-Demand Remote Predictive Monitoring For Industrial Equipment Analysis and Cost Forecast

• US 20170180214A1
• Filed: 12/16/2015
• Published: 06/22/2017
• Est. Priority Date: 12/16/2015
• Status: Active Grant

• Current Assignee: International Business Machines Corporation
• Original Assignee: International Business Machines Corporation
• Inventors: Ohta, Ricardo Luis, Azevedo, Leonardo Guerreiro, Binotto, Alecio, Gandour, Fabio L., dos Santos, Marcelo Nery, Silva, Ademir Fereira, Segura, Vinicius Costa Villas Boas
• Granted Patent: US 10,958,531 B2
• Time in Patent Office: Days
• CPC Class Codes: G06N 20/00 Machine learning
• CPC Class Codes: H04L 41/147 for predicting network behaviour
• CPC Class Codes: H04L 41/149 for prediction of maintenance
• CPC Class Codes: H04L 43/045 for graphical visualisation of monitoring data
• CPC Class Codes: H04L 43/067 using time frame reporting
• CPC Class Codes: H04W 4/38 for collecting sensor information

Abstract

Sensor data is detected from at least one sensor selected and installed for detecting operating conditions of at least one equipment. The sensor data includes an operating condition of at least one equipment. The sensor is selected dependent on indications of a user restriction and a predictive model. A sensor data signal is generated dependent on the sensor data. The sensor data signal is transmitted to a network device for collecting the sensor data and transforming the collected sensor data into a formatted transmission signal having a format for transmission over a network to a network server. The network server receives the formatted transmission signal for performing on-demand service of at least one of analysis, reporting and visualization dependent on the operating condition.

Claims

1. A method, comprising:

detecting sensor data from at least one sensor selected and installed for detecting operating conditions of at least one equipment, the sensor data including an operating condition of at least one equipment, wherein the at least one sensor is selected dependent on indications of a user restriction and a predictive model;

generating a sensor data signal dependent on the sensor data; and

transmitting the sensor data signal to a network device for collecting the sensor data and transforming the collected sensor data into a formatted transmission signal having a format for transmission over a network to a network server, wherein the network server receives the formatted transmission signal for performing on-demand service of at least one of analysis, reporting and visualization dependent on the operating condition.

2. The method of claim 1, wherein the network is the Internet.

3. The method of claim 1, wherein the network server is a cloud-based server.

4. The method of claim 1, wherein the sensor data signal is transmitted to the network device using 6LoWPAN as a wireless network protocol and the network device transforms the collected sensor data into one of an IPv4 or IPv6 formatted transmission signal.

5. The method of claim 1, wherein at least one sensor is one of a plurality of sensors forming a sensor network, and wherein the sensor network is configured to pre-process the sensor data forward to a gateway which forwards the sensor data to the Network Server which identifies a defective operating condition.

6. The method of claim 5, wherein one or more sensors of the sensor network is configured to pre-process the sensor data received from one or more sensors of the other sensors of the sensor network

7. The method of claim 5, wherein the plurality of sensors are battery powered and further comprising determining a battery status of each sensor of the plurality of sensors wherein sensors having a relatively higher battery charge pre-process the sensor data received from sensors having a relatively lower battery charge.

8. The method of claim 1, wherein the sensor data is transmitted to the network device via a publish-subscribe based messaging protocol.

9. An apparatus, comprising one or more processors;

and one or more memories including computer program code, one or more memories and the computer program code configured, with the one or more processors, to cause the apparatus to perform at least the following;

detect sensor data from at least one sensor selected and installed for detecting operating conditions of at least one equipment, the sensor data including an operating condition of at least one equipment, wherein the at least one sensor is selected dependent on indications of a user restriction and a predictive model;

generate a sensor data signal dependent on the sensor data; and

transmit the sensor data signal to a network device for collecting the sensor data and transforming the collected sensor data into a formatted transmission signal having a format for transmission over a network to a network server, wherein the network server receives the formatted transmission signal for performing on-demand service of at least one of analysis, reporting and visualization dependent on the operating condition.

10. A computer program product comprising a computer readable storage medium having computer-readable code embodied thereon, the computer-readable code executable by an apparatus and causing the apparatus, in response to execution of the computer-readable code, causing the apparatus to perform at least the following:

detect sensor data from at least one sensor selected and installed for detecting operating conditions of at least one equipment, the sensor data including an operating condition of at least one equipment, wherein the at least one sensor is selected dependent on indications of a user restriction and a predictive model;

generate a sensor data signal dependent on the sensor data; and

transmit the sensor data signal to a network device for collecting the sensor data and transforming the collected sensor data into a formatted transmission signal having a format for transmission over a network to a network server, wherein the network server receives the formatted transmission signal for performing on-demand service of at least one of analysis, reporting and visualization dependent on the operating condition.

11. A method, comprising:

receiving a sensor data signal generated dependent on sensor data detected by at least one sensor configured for detecting operating conditions of at least one equipment, wherein the sensor data includes at least one operating condition of the at least one equipment, wherein the at least one sensor is selected dependent on indications of a user restriction and a predictive model;

collecting the sensor data obtained from sensor data signal;

transforming the collected sensor data into a formatted transmission signal dependent on the collected sensor data and having a format for transmission to a network server; and

transmitting the formatted transmission signal to the network server, wherein the network server receives the formatted transmission signal for performing on-demand service of at least one of analysis, reporting and visualization dependent on the operating condition.

12. The method of claim 11, wherein the network server is a cloud-based server.

13. The method of claim 11, wherein the sensor data signal is transmitted to the network device using 6LoWPAN as a wireless network protocol and the network device transforms the collected sensor data into one of an IPv4 or IPv6 formatted transmission signal.

14. The method of claim 11, wherein at least one sensor is one of a plurality of sensors forming a sensor network, and wherein the sensor network is configured to pre-process the sensor data forward to a gateway which forwards the sensor data to the Network Server which identifies a defective operating condition.

15. The method of claim 14, wherein one or more sensors of the sensor network is configured to pre-process the sensor data received from one or more sensors of the other sensors of the sensor network

16. The method of claim 14, wherein the plurality of sensors are battery powered and further comprising determining a battery status of each sensor of the plurality of sensors wherein sensors having a relatively higher battery charge pre-process the sensor data received from sensors having a relatively lower battery charge.

17. The method of claim 11, wherein the sensor data is transmitted to the network device via a publish-subscribe based messaging protocol.

18. A method, comprising:

receiving a formatted transmission signal, the formatted transmission signal being transmitted from a network device and being generated by the network device by transforming collected sensor data into the formatted transmission signal dependent on the collected sensor data, the sensor data being collected from a sensor data signal received by the network device from at least one sensor installed for detected operating conditions of at least one equipment, the sensor data including an operating condition of the at least one equipment, wherein the at least one sensor is selected dependent on indications of a user restriction and a predictive model; and

performing one-demand service of at least one of analysis, reporting and visualization dependent on the operating condition.

19. The method of claim 18, wherein the receiving and performing is done using a cloud-based server.

20. The method of claim 18, wherein the sensor data signal is transmitted to the network device using 6LoWPAN as a wireless network protocol and the network device transforms the collected sensor data into one of an IPv4 or IPv6 formatted transmission signal.

21. The method of claim 18, wherein at least one sensor is one of a plurality of sensors forming a sensor network, and wherein the sensor network is configured to pre-process the sensor data forward to a gateway which forwards the sensor data to the Network Server which identifies a defective operating condition.

22. The method of claim 21, wherein one or more sensors of the sensor network is configured to pre-process the sensor data received from one or more sensors of the other sensors of the sensor network

23. The method of claim 21, wherein the plurality of sensors are battery powered and further comprising determining a battery status of each sensor of the plurality of sensors wherein sensors having a relatively higher battery charge pre-process the sensor data received from sensors having a relatively lower battery charge.

24. The method of claim 18, wherein the sensor data is transmitted to the network device via a publish-subscribe based messaging protocol.