Sökning: "Smart Water Meter Data"

Visar resultat 1 - 5 av 6 uppsatser innehållade orden Smart Water Meter Data.

  1. 1. Neural Network-Based Residential Water End-Use Disaggregation

    Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Författare :Cajsa Pierrou; [2023]
    Nyckelord :Residential water end-use; Flow disaggregation; Time series classification; Artificial neural network; Smart water meter; Slutanvändning av vatten i hushåll; Flödesdisaggregering; Tidsserieklassificering; Artificiella neurala nätverk; Smart vattenmätare;

    Sammanfattning : Sustainable management of finite resources is vital for ensuring livable conditions for both current and future generations. Measuring the total water consumption of residential households at high temporal resolutions and automatically disaggregating the sole signal into classified end usages (e.g. LÄS MER

  3. 2. Retrofitting analogue meters with smart devices : A feasibility study of local OCR processes on an energy critical driven system

    Kandidat-uppsats,

    Författare :Joel Andreasson; Elin Ehrenbåge; [2023]
    Nyckelord :Analogue meters; Energy efficiency; Internet of Things IoT ; Optical Character Recognition OCR ; Sum of Absolute Differences SAD ; Template matching;

    Sammanfattning : Internet of Things (IoT) are becoming increasingly popular replacements for their analogue counterparts. However, there is still demand to keep analogue equipment that is already installed, while also having automated monitoring of the equipment, such as analogue water meters. LÄS MER

  4. 3. Oven Usage Optimization : A study on scheduling at the wear edge production at Olofsfors AB

    Uppsats för yrkesexamina på avancerad nivå, Umeå universitet/Institutionen för matematik och matematisk statistik

    Författare :Anna Karlsson; [2023]
    Nyckelord :Scheduling problem; Re-entrant hybrid flow shop; Packing problem; Batching rules; Sensitivity analysis; Genetic algorithm; Schemaläggningsproblem; Packingingsproblem; Laststorleksregler; Känslighetsanalys; Genetisk algoritm;

    Sammanfattning : Olofsfors is a steel product manufacturer in Nordmaling, Sweden, producing steel edges for snowplows, tracks for forest machines, and wear edges for buckets on heavy equipment. Most of their products are heated to 900◦ C and then cooled down in water, so-called quenching, during the hardening process. LÄS MER

  5. 4. IoT Framework for Water Monitoring Using the M-Bus Interface

    Kandidat-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Författare :Albert Asratyan; Mandar Joshi; [2019]
    Nyckelord :Smart water monitoring; Contiki-OS; Internet of Things IoT ; M-Bus; MQTT; 6LoWPAN; Smart vattenmätning; Contiki-OS; Sakernas Internet IoT ; M-Bus; MQTT; 6LoWPAN;

    Sammanfattning : Immense amounts of water are wasted daily, and it is as important as ever to optimize our water consumption, especially considering that today around 850 million people lack access to clean water. With the rise of the Internet of Things, creating a monitoring system for this purpose becomes easier, but there arises a problem of interfacing water meters to IoT capable devices. LÄS MER

  7. 5. Turning Smart Water Meter Data Into Useful Information : A case study on rental apartments in Södertälje

    Master-uppsats, KTH/Vattendragsteknik

    Författare :Anna Söderberg; Philip Dahlström; [2017]
    Nyckelord :End User Water Consumption; Smart Water Meter Data; Exploratory Data Analysis; Water Management; Building Operational Management;

    Sammanfattning : Managing water in urban areas is an ever increasingly complex challenge. Technology enables sustainable urban water management and with integrated smart metering solutions, massive amounts of water consumption data from the end users can be collected. However, the possibility of generating data from the end user holds no value in itself. LÄS MER