• Login
    View Item 
    •   SU+ Home
    • Research and Publications
    • Faculty of Information Technology (FIT)
    • FIT Projects, Theses and Dissertations
    • MSIT Theses and Dissertations
    • MSIT Theses and Dissertations (2017)
    • View Item
    •   SU+ Home
    • Research and Publications
    • Faculty of Information Technology (FIT)
    • FIT Projects, Theses and Dissertations
    • MSIT Theses and Dissertations
    • MSIT Theses and Dissertations (2017)
    • View Item
    JavaScript is disabled for your browser. Some features of this site may not work without it.

    Automatic power meter reading based on Arduino micro-controller unit: case of the Kenya power and Lighting Company

    Thumbnail
    View/Open
    Fulltext thesis (2.864Mb)
    Date
    2017
    Author
    Keere, Samuel Ondieki
    Metadata
    Show full item record
    Abstract
    Automatic Meter Reading (AMR), is the technology of automatically collecting data from metering devices (electric, water, gas) and transferring that data to a central database for billing and/or further analysis. Power utility firms have an obligation to bill their customers based on actual meter readings taken. However, provision of these services have had challenges. This leads to the issue of estimated readings and an inconvenient billing method that is based on incorrect readings. This is normally evident during the power meter-reading period when some power consumers influence clerks to evade paying their power bills. A common phenomenon in some cases is either where the same field clerks take wrong readings or end up over/underestimating the customer’s consumption. This ends up inconveniencing customers budgeting. In a bid to address this issue, Kenya Power Company has resorted to retrofitting the existing conventional post-paid meters with prepaid meters. This is however expensive and would take a long time to implement. This study proposes a solution for automatic meter reading by use of an ATmega328P MCU. This will entail an ACS712 current sensor that will be connected onto a power meter coupled to a LoRa gateway through a LPWAN for transmission of data to a cloud server for subsequent upload and analysis. Agile software methodology was used which allowed faster iteration and more frequent release with subsequent user feedback. This solution would not require replacement of the existing meters, making it cost effective and fast to implement. This study provides a solution that can enable the users have information on their readings, rate of billing and be able to report on any power issues affecting them. This will also help the power providers have their customers’ advice, which would aid in decision-making processes.
    URI
    http://hdl.handle.net/11071/5640
    Collections
    • MSIT Theses and Dissertations (2017) [34]

    DSpace software copyright © 2002-2016  DuraSpace
    Contact Us | Send Feedback
    Theme by 
    Atmire NV
     

     

    Browse

    All of SU+Communities & CollectionsBy Issue DateAuthorsTitlesSubjectsThis CollectionBy Issue DateAuthorsTitlesSubjects

    My Account

    Login

    DSpace software copyright © 2002-2016  DuraSpace
    Contact Us | Send Feedback
    Theme by 
    Atmire NV