US 2018/0121889 A1Published application

Method and system for dynamically managing waste water treatment process for optimizing power consumption

AssigneeWipro Limited

InventorsPrabhu Raja SUBBARAYALU VENKITAPATHI, Vinoth Kumar ANNAMALAI, Jasmine SINGH, Niraj KUMAR

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Abstract

The present disclosure relates to method and system for dynamically managing waste water treatment process in a water treatment plant. Operational data related to water treatment process are collected from various data sources and operational parameters are identified at various levels using the operational data. Historical and real-time threshold values of operational parameters are identified based on historic and real-time operational data and real-time operational data respectively. Degrees of significance of operational parameters on the water treatment processes are calculated at each level. Further, plurality of inflection points, indicating optimal range of operational data, are identified based on degrees of significance, historical and real-time thresholds. Finally, water treatment processes are optimized based on inflection points, thereby optimizing power consumption for the water treatment plant. The above method enables large-scale management of the water treatment processes, without actually visiting a water treatment plant, thereby reducing dependency on expertise and skilled resources.

Claims24

Dependent claims

A method for dynamically managing waste water treatment process in a waste water treatment plant, the method comprising:

collecting, by a waste water treatment system (103), operational data from one or more data sources (101);
identifying, by the waste water treatment system (103), one or more operational parameters at one or more levels based on the operational data, wherein the one or more operational parameters are used for managing one or more waste water treatment processes;
identifying, by the waste water treatment system (103), one or more historical threshold values (123) for each of the one or more operational parameters at the one or more levels based on historic operational data (1231) associated with each of the one or more operational parameters;
calculating, by the waste water treatment system (103), one or more degrees of influence for each of the one or more operational parameters at the one or more levels based on historic operational data (1231) associated with each of the one or more operational parameters;
determining, by the waste water treatment system (103), one or more real-time threshold values (125) for each of the one or more operational parameters based on at least one of real-time operational data, historical threshold values (123) and degrees of freedom related to each of the one or more operational parameters;
identifying, by the waste water treatment system (103), one or more inflection points for each of the one or more operational parameters based on the one or more historical threshold values (123), the one or more real-time threshold values (125) and the one or more degrees of significance;
and
optimizing, by the waste water treatment system (103), one or more control mechanisms (321) based on the one or more inflection points thereby, optimizing power consumption for the waste water treatment plant.

5 more elements

A waste water treatment system (103) for dynamically managing waste water treatment process in a waste water treatment plant, the waste water treatment system (103) comprising:

a processor (109);
and
a memory (107) communicatively coupled to the processor (109), wherein the memory (107) stores processor-executable instructions, which, on execution, causes the processor (109) to:
collect operational data from one or more data sources (101);
identify one or more operational parameters at one or more levels based on the operational data, wherein the one or more operational parameters are used for managing one or more waste water treatment processes;
identify one or more historical threshold values (123) for each of the one or more operational parameters at the one or more levels based on historic operational data (1231) associated with each of the one or more operational parameters;
calculate one or more degrees of influence for each of the one or more operational parameters at the one or more levels based on historic operational data (1231) associated with each of the one or more operational parameters;
determine one or more real-time threshold values (125) for each of the one or more operational parameters based on at least one of real-time operational data, historical threshold values (123) and degree of freedom related to each of the one or more operational parameters;
identify one or more inflection points for each of the one or more operational parameters based on the one or more historical threshold values (123), the one or more real-time threshold values (125) and the one or more degrees of significance;
and
optimize one or more control mechanisms (321) based on the one or more inflection points, thereby optimizing power consumption for the waste water treatment plan.

8 more elements

Dependencies are inferred from the claim text.

Facts

Application: 15/443,098Filed 27 Feb 2017
Priority: IN 20164103716628 Oct 2016
Published: 3 May 2018
Term ends: Not estimatedThe source records don’t support an estimate.

Classification8 codes

G06Q 10/30
Administration; Management: administration of product recycling or disposal
C02F 1/008
Treatment of water, waste water, or sewage: control or steering systems not provided for elsewhere in subclass C02F
G06Q 50/06
Information and communication technology [ICT] specially adapted for implementation of business processes of specific business sectors, e.g.…:…
C02F 2209/006
Processes using a programmable logic controller [PLC]: comprising a software program or a logic diagram