M36 GAC Tasks 72 73The deliverable will include the second update on activities implemented in the Tasks 72 and 73 related to the Period 2 as well as the public summary of exploitation of results to be extracted from the confidential deliverable on exploitation prepared by IITG
M12 Responsible Partner IITB (Task 4.1) We will establish the specifications of the real time tools for optimal operation of water systems in terms of water quality and quantity. This includes the building of historical data and time series needed for development and verification of the tools, as well as the creation of artificial data sets when historical data do not exist. The work will exploit the outcomes of WP2 and WP6.
Uni Eiffel Task 22 Same as D23 with confidential information removed for public release
M12 Responsible Partner: UTH (Task 3.1) To meet the need for the modelling of the water systems, the goal is to create historical time series data either from actual data, or from alternative approaches (literature, established national data bases, algorithmic approaches, etc.) and outline specific operational targets and chemical species to be monitored, in close collaboration with Task 6.1.
M3 Responsible Partner TISS (Task 1.1) This report will notably encompass following aspects: • Overview of relevant priorities, and EU-Indian water cooperation status (main results of EU-India funded projects, involved organisations) • Identify, map and specify the relevant ecosystem actors: local water utilities, technology providers, end users, governmental bodies. This mapping will also help to identify strong points and potential gaps in the ecosystem governance, infrastructures, technologies and competences which are essential building blocks for ecosystem to emerge. • Summary of political, cultural and technical challenges, local pre-conditions and main opportunities for successful implementation of water quality solutions in India
Responsible Partner TISS Task 13This report on Water quality and quantity satisfaction evaluation from user perspectives and technologyadoption focusing on social groups especially vulnerable groups in terms of perception and concerns about water quality and quantity Issues such as intermittent water supply social aspects of the lack of infrastructure lack of safety etc will be taken into account The analysis will focus on the needs benefits applicability and related barriers of water quality solutions It will be also used as a gap analysis that will be carried out to assess available solutions and the gap in the Indian water ecosystem
M3 INNO (Task 7.1, Task 7.2) The Communication strategy will notably address the main communication objectives and desired impacts and identify the desired indicators and target audiences in both EU countries and India. Aside these contents, a first plan for dissemination of results will be drafted, further refining the dissemination objectives and exploring the opportunities. This deliverable is in line with the requirement of promoting the action and its results following Article 38 in the Grant Agreement.
Responsible partner UNEXE Task 51 We will report on the global system architecture and notably outline all the components their inputs their outputs and how they integrate with each other We will also identify the areas where existing technology will make up part of the solution aiming to design a highly flexible modular and expandable platform suitable for the conditions in India and for taking advantage of the specific capabilities of the LOTUS sensor The work will be based on based on state of the art IoT and open network architecture the sensor functionalities WP2 the specific user requirements WP1 the strategic analytical tools WP3 and the realtime functionalities WP4 combined with the specifics of the Case Studies WP6
M24 Responsible Partner Hydrocontrol Task 32The guide will describe in a practical manner how to move from intermittent supplies IWS to 24x7 in a costeffective manner Such methods to transition to 24x7 include improved operations and maintenance restructuring the network to improve hydraulic performance replacing part of the distribution system as needed and introducing Active Leakage Control to reduce losses in a costeffective manner
M9 Responsible Partner IITG (Task 6.1) In relationship with WP1, we will report on the mapping of the co-designs with stakeholders into technical specifications for the use cases: • Definition of the detailed scope and performance targets for the use cases. • Definition of application scenarios and of qualitative and quantitative success criteria. • Detailed definition of the specifications for the novel sensor and of the available data from other sources. • Mapping of the specifications into software functionalities.
A Scientific Quality Assurance Plan will be developed, to help the project satisfy the relevant quality standards. The Plan will define quality management processes and will include mechanisms to review the project deliverables. It will include templates, guidelines and requirements for the partners. It will also provide the management principles (e.g. organisation of meetings with consortium bodies …).
M24 Responsible Partner IITG Task 32The report will include Optimizing demand and asset management techniques and practices for effective and efficient operations and management of water distribution systems Modelling and optimization of tankerbased water distribution system Modelling simulation and design of irrigation systems Groundwater and river water system modelling and simulation
M18 NEERI Task 75The projectwide standardisation plan will be detailed in order to identify and plan activities to implement standardisation and certification activities in accordance to the overall project planning and evolution taking into account fields such as water quality sensor communication systems and intermittent water system management This plan will be a guideline for the further project activities however when required throughout the course of the project activities will be adapted
M18 Responsible Partner IITB (Task 1.2) This deliverable will gather contents over the course of actions for co-creation of water quality solutions ecosystem around the LOTUS use cases and comprehend notably • A methodological note regarding the structure and role of a water quality solutions ecosystem – based on the results from the previous project activities. • Operational scenarios and business model workshops feedback and concerns, and to pave the way for future exploitation - business models for water quality solutions • Summary of the workshops, including the expectation baseline, co-specification of the requirements around the use case; definition of priorities from the end-user perspective; co-definition of success criteria for the use cases.
M24 Responsible partner UNEXE (Task 5.1) We will report on the global system architecture, and notably outline all the components, their inputs, their outputs, and how they integrate with each other. We will also identify the areas where existing technology will make up part of the solution, aiming to design a highly flexible, modular and expandable platform, suitable for the conditions in India and for taking advantage of the specific capabilities of the LOTUS sensor. The work will be based on based on state of the art IoT and open network architecture, the sensor functionalities (WP2), the specific user requirements (WP1), the strategic analytical tools (WP3) and the real-time functionalities (WP4), combined with the specifics of the Case Studies (WP6).
GAC Task 72 Task 73 This deliverable will incldue NEERI contribution about the activities in India and IITG contribution with public summary of initial plan for exploitation of LOTUS results
Task 42Based on the outcomes of Task 41 the tools to be developed are the following Water quantity pressure flow monitoring and anomaly detection in urban water distribution systemsWater quality monitoring and anomaly detectionReal time mitigation measures for water quantity and quality alertsManagement of tankerbased distribution systemsReal time optimal operation of irrigation systems based on quantity and quality monitoringMonitoring and control of algaebased wastewater treatmentRealtime alerts to the publicWeather prediction tool for irrigation use cases
Responsible partner UNEXE T52 53 This deliverable will demonstrate the operation of the LOTUS platform including Signal processing tools cleaning and error detection Interoperability features based on waterrelated ontology fitting of data formal semantic annotations APIs for data conversion and integration Implementation of relevant communication protocols Frontend visualization environment including for mobile devices operational dashboards 3D visualisation capabilities
M12 EP (Task 2.1) Same as D2.1 with confidential information removed for public release
M 6 Responsible: INNO (Task 8.3) The initial Data Management Plan (DMP) will include: consortium decisions on the DMP, data within LOTUS - data definition, fair data – e.g. meta data, accessibility, interoperability, issues of potential conflict…, allocation of resources, data security, ethical aspects, data with bilateral agreements, approval process. For the confidential or possibly classified data, a specific procedure will be organized. This procedure will be included in the DMP, defining the modalities of confidentiality for exchange and storage of such data between authorized
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