REMOTE MONITORING OF DATA FACILITY IN REAL-TIME USING WIRELESS SENSOR NETWORK

• US 20150067153A1
• Filed: 08/28/2014
• Published: 03/05/2015
• Est. Priority Date: 08/28/2013
• Status: Abandoned Application

• Current Assignee: Kentucky State University
• Original Assignee: Kentucky State University
• Inventors: Bhattacharyya, Siddhartha, Shen, Chi, Jantzen, Dalton
• Application Number:
  US14/471,864
• Publication Number:
  US 20150067153A1
• Time in Patent Office: Days
• US Class Current: 709/224
• CPC Class Codes: H04L 43/04 Processing captured monitoring data, e.g. for logfile generation
• CPC Class Codes: H04L 43/0817 by checking functioning
• CPC Class Codes: H04W 4/023 using mutual or relative location information between multiple location based services [LBS] targets or of distance thresholds
• CPC Class Codes: H04W 4/027 using movement velocity, acceleration information
• CPC Class Codes: H04W 4/70 Services for machine-to-machine communication [M2M] or machine type communication [MTC]

Abstract

A method of monitoring a status of one or more computing devices in a computing system environment includes deploying a sensor network including a plurality of sensors to monitor multiple operating parameters of one or more computing devices of said computing system environment, each sensor being associated with one of said one or more computing devices. A base station computing device collects operating parameter data for the computing devices and analyzes the operating parameter data to (a) predict a failure of said one or more computing devices and/or (b) identify a fault condition of said one or more computing devices. Computing device operating parameters monitored include one or more of an operating temperature, a vibration, a cooling air flow rate, and a battery charge level. Monitoring systems for use in the method are disclosed.

Claims

1. In a computing system environment, a method of monitoring a status of a computing device, comprising:

deploying a sensor network comprising a plurality of sensors to monitor multiple operating parameters of one or more computing devices of said computing system environment, each sensor being associated with one of said one or more computing devices;

by a base station computing device including at least one processor and at least one memory, collecting operating parameter data for said one or more computing devices; and

analyzing said operating parameter data to (a) predict a failure of said one or more computing devices and/or (b) identify a fault condition of said one or more computing devices.

2. The method of claim 1, including monitoring an operating temperature of said one or more computing devices.

3. The method of claim 1, including monitoring a vibration of said one or more computing devices.

4. The method of claim 1, including monitoring a cooling air flow rate of said one or more computing devices.

5. The method of claim 1, including monitoring a battery charge level of a battery of said one or more computing devices.

6. The method of claim 1, including monitoring operating temperature, cooling air flow and vibration of a computing device in said computing system environment.

7. The method of claim 5, including completing said monitoring over a predetermined time frame.

8. The method of claim 7, wherein said base station is remotely located from said sensor network.

9. The method of claim 8, including sending an alert from said base station to an operator when said predicted failure and/or fault condition is identified.

10. The method of claim 9, including identifying said fault condition from operating parameters selected from a group consisting of a computing device battery charge value falling below a predetermined threshold value, an increase in computing device operating temperature in an amount above a predetermined threshold value, a decrease in computing device cooling air flow rate below a predetermined threshold value, an increase in computing device vibration above a predetermined threshold value, and combinations thereof.

11. The method of claim 9, including identifying said fault condition from operating parameters selected from a group consisting of a computing device battery charge level falling below a predetermined threshold value, an increase in computing device operating temperature in an amount above a predetermined threshold value for more than a predetermined period of time, an increase in computing device operating temperature in combination with a decrease in computing device cooling air flow rate, a decrease in computing device air flow rate in combination with an increase in computing device vibration, an increase in computing device vibration above a threshold value for more than a predetermined period of time and combinations thereof.

12. The method of claim 9, including identifying said failure condition from a computing device battery charge level falling below a predetermined threshold value, an increase in computing device operating temperature in an amount above a predetermined threshold value for more than a predetermined period of time, a decrease in computing device cooling air flow rate, and an increase in computing device vibration above a threshold value for more than a predetermined period of time.

13. The method of claim 1, including using a wireless sensor network comprising a plurality of sensors for wirelessly transmitting operating parameter data to the base station.

14. The method of claim 1, including monitoring operating parameters of the one or more computing devices of the computing system environment without any sensor interference or interaction with computing device operation or computer program product operation of said one or more computing devices.

15. A monitoring system for determining a health status of one or more computing devices, comprising:

a monitoring system including a sensor network comprising a plurality of sensors, each sensor associated with one of a plurality of computing devices deployed in a computing system environment; and

a base station computing device including at least one processor and at least one memory in communication with said sensor network;

wherein said sensor network monitors multiple operating parameters of said computing device, generates operating parameter data, and sends said operating parameter data to said base station computing device;

further wherein said base station computing device analyzes said operating parameter data to identify a failure and/or a fault condition of one or more computing devices of said plurality of computing devices.

16. The computer system environment and monitoring system of claim 15, wherein said sensor network includes a sensor selected from a group consisting of an accelerometer, a temperature sensor, a cooling air flow rate sensor, a battery charge level sensor and combinations thereof.

17. The computer system environment and monitoring system of claim 15, wherein said plurality of sensors of the sensor network communicate with the base station computing device by wireless means.