Smart Water Management in Agriculture: a Proposal for an Optimal Scheduling Formulation of a Gravity Water Distribution System
| Autor: | Alessio Domeneghetti, V. Latorre, Armando Brath, Lorenzo Carmelo Zingali, Cristiana Bragalli |
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| Přispěvatelé: | Latorre, V., Zingali, L. C., Bragalli, C., Domeneghetti, A., Brath, A., DIPARTIMENTO DI INGEGNERIA CIVILE, CHIMICA, AMBIENTALE E DEI MATERIALI, Facolta' di INGEGNERIA, Da definire, AREA MIN. 08 - Ingegneria civile e architettura |
| Jazyk: | angličtina |
| Rok vydání: | 2020 |
| Předmět: |
Mixed Integere Linear Programming
Water resources Mathematical optimization Exploit Linear programming Computer science Water flow Mixed Integere Linear Programming IoT solution Irrigation Optimal scheduling hydrraulic model Benchmark testing 0207 environmental engineering Scheduling (production processes) 02 engineering and technology 020701 environmental engineering IoT solution Water resource 2. Zero hunger business.industry Irrigation scheduling 04 agricultural and veterinary sciences 6. Clean water Network management 040103 agronomy & agriculture Benchmark (computing) 0401 agriculture forestry and fisheries business |
| Zdroj: | 2020 IEEE International Workshop on Metrology for Agriculture and Forestry (MetroAgriFor) |
| Popis: | open 5 no Agriculture represents one of the most water demanding sectors and its role is central on defining water saving policies. In this work, we propose an improved approach to the irrigation scheduling problem, reducing water wastage while satisfying farmers’ demands and crops’ water needs.For water distribution system managed with on-demand distribution approach, the efficiency of irrigation relies on the ability of the network manager (i.e., gatekeeper) to guarantee a proper service, consisting in: the irrigation scheduling, the definition of the volume of water passing through the channels at a given time, and the operations on gates and sluices to make the water reach the farms. Consequently, the irrigation scheduling inefficiencies might be limited by: i) reducing the water wastage, ii) minimizing the gatekeeper work and iii) maximizing the satisfaction of the farmers’ requirements.We propose an improved mixed-integer linear optimization formulation that adds the possibility to store water in the channels and takes seepage into account. This new formulation is able to better represent the physical behavior of the water flow in the channels network, also avoiding the presence of flooding. The proposed optimization solution is embedded within a wider monitoring framework with the intent to fully exploit the availability of a complex network of models, repositories and sensors installed in the field.The resulting problem is solved by one of the most used optimization solvers (IBM ILOG Cplex) and tested on a synthetic benchmark. Furthermore, we validate the results on a digital copy of the network that performs a hydraulic simulation of the irrigation system. The scheduling is accepted if the water introduced in the system can satisfy farmers’ requests with the considered timing and does not produce flooding. embargoed_20210608 Latorre, V.; Zingali, L. C.; Bragalli, C.; Domeneghetti, A.; Brath, A. Latorre, V.; Zingali, L. C.; Bragalli, C.; Domeneghetti, A.; Brath, A. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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