MONITORING AND MANAGEMENT OF POTABLE WATER INSTALLATION SYSTEMS

• US 20190318605A1
• Filed: 04/17/2018
• Published: 10/17/2019
• Est. Priority Date: 04/17/2018
• Status: Abandoned Application

• Current Assignee: International Business Machines Corporation
• Original Assignee: International Business Machines Corporation
• Inventors: MANORIA, Vikas K., AVKD, Sivakumar, TELUKAPALLI, Vijay Chandra S.
• Application Number:
  US15/955,093
• Publication Number:
  US 20190318605A1
• Time in Patent Office: Days
• CPC Class Codes: G01N 33/18 Water
• CPC Class Codes: G05D 7/0623 characterised by the set value given to the control element
• CPC Class Codes: G06Q 50/06 Energy or water supply
• CPC Class Codes: Y02A 20/00 Water conservation; Efficient water supply; Efficient water use
• CPC Class Codes: Y02A 20/152 Water filtration
• CPC Class Codes: Y02A 20/20 Controlling water pollution; Waste water treatment

Abstract

Systems and methods for monitoring and managing potable water installations (PWIs) systems are disclosed. In embodiments, a computer-implemented method comprises: receiving, by a computing device, monitoring data from a PWI via a network; generating, by the computing device, misery factor data for misery factors including availability of water, quality of water and hygiene of the PWI, wherein the misery factor data is based on the monitoring data; assigning, by the computing device, weights to the misery factor data for each of the misery factors; calculating, by the computing device, a misery index based on the misery factor data, wherein the misery index is a number indicative of conditions at the PWI; and generating, by the computing device, an alarm based on the misery data.

Claims

1. A computer-implemented method, comprising:

receiving, by a computing device, monitoring data from a potable water installation (PWI) via a network;

generating, by the computing device, misery factor data for misery factors including availability of water, quality of water and hygiene of the PWI, wherein the misery factor data is based on the monitoring data;

assigning, by the computing device, weights to the misery factor data for each of the misery factors;

calculating, by the computing device, a misery index based on the misery factor data, wherein the misery index is a number indicative of conditions at the PWI; and

generating, by the computing device, an alarm based on the misery data.

2. The method of claim 1, wherein the generating the alarm comprises generating the alarm indicating that the misery index meets or exceeds a predetermined threshold value.

3. The method of claim 1, further comprising determining a recognized misery pattern based on an analysis of the misery data, wherein the generating the alarm comprises generating the alarm based on the recognized misery pattern.

4. The method of claim 1, further comprising sending instructions to a controller of the PWI to dynamically initiate changes to the PWI via the network.

5. The method of claim 4, wherein the instructions comprise instructions to automatically shut down a flow of water within the PWI or automatically refill one or more water storage containers at the PWI.

6. The method of claim 1, wherein the receiving the monitoring data comprises receiving timestamped sensor data and timestamped digital video data.

7. The method of claim 6, further comprising determining context data from the timestamped digital video data utilizing visual recognition techniques, wherein aggregating the monitoring data includes aggregating the context data.

8. A computer program product for management of potable water installations (PWIs) the computer program product comprising a computer readable storage medium having program instructions embodied therewith, the program instructions executable by a computing device to cause the computing device to:

receive monitoring data from a remote potable water installation (PWI) via a network;

generate misery factor data for one or more misery factors indicative of conditions at the remote PWI, wherein the misery factor data is based on the monitoring data;

generate an alarm based on the misery data; and

automatically initiate changes to the remote PWI via the network based on the alarm.

9. The computer program product of claim 8, wherein the one or more misery factors comprise availability of water, quality of the water, and hygiene of the PWI.

10. The computer program product of claim 8, wherein the generating the alarm comprises generating the alarm indicating that the misery index meets or exceeds a predetermined threshold value.

11. The computer program product of claim 8, further comprising determining a recognized misery pattern based on an analysis of the misery data, wherein the generating the alarm comprises generating the alarm based on the recognized misery pattern.

12. The computer program product of claim 8, wherein the changes to the remote PWI comprise automatically shutting down a flow of water within the PWI or automatically refilling one or more water storage containers at the PWI.

13. The computer program product of claim 8, wherein the receiving the monitoring data comprises receiving timestamped sensor data and timestamped digital video data.

14. The computer program product of claim 8, further comprising determining context data from the timestamped digital video data utilizing visual recognition techniques, wherein aggregating the monitoring data includes aggregating the context data.

15. A system for management of potable water installations (PWIs), comprising:

a CPU, a computer readable memory and a computer readable storage medium associated with a computing device;

program instructions to receive monitoring data from a potable water installation (PWI) via a network, the monitoring data including sensor data and digital video data;

program instructions to determining context data from the digital video data utilizing visual recognition techniques;

program instructions to generate misery factor data for one or more misery factors indicative of conditions at the PWI, wherein the misery factor data is based on the monitoring data and the context data; and

program instructions to calculate a misery index based on the misery factor data, wherein the misery index is a number indicative of conditions at the PWI,

wherein the program instructions are stored on the computer readable storage medium for execution by the CPU via the computer readable memory.

16. The system of claim 15, wherein the misery factors are selected from the group consisting of:

availability of water, quality of the water, and hygiene of the PWI.

17. The system of claim 15, further comprising program instructions to generate an alarm based on one or both of the misery index and the misery factor data.

18. The system of claim 17, further comprising program instructions to determine a recognized misery pattern based on an analysis of the misery data, wherein the generating the alarm comprises generating the alarm based on the recognized misery pattern.

19. The system of claim 17, further comprising program instructions to dynamically initiate changes to the PWI via the network based on the alarm.

20. The system of claim 19, wherein the changes comprise automatically shutting down a flow of water within the PWI or automatically refilling one or more water storage containers at the PWI.