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Resources

What we have learned building smart city systems.

A short library of what Dimonoff has published on choosing, justifying and expanding a smart city control system — talk to us if you want the full detail behind any of it.

Resources

  • Understanding the Smart City Market

    White paper

    Understanding the Smart City Market

    How to select an open, future-proof smart city system

    The market for smart city technology is vast and fragmented, and anyone choosing a system for the first time can quickly get overwhelmed by vendors. This paper breaks down the main types of smart city vendor and the criteria that matter most when picking a system meant to still make sense in ten years.

    • The key types of smart city vendors, and how their incentives differ
    • Why openness and future-readiness are the two criteria that matter most
    • How to apply those criteria to hardware, network connectivity and software
  • Smart Connected Solutions for Cities

    Business case

    Smart Connected Solutions for Cities

    While a city converts its street lighting from HPS to LED, that is also the moment to add wireless control and monitoring — before the fixtures go up, not after. This case walks through building a network architecture that starts with lighting and scales to parking, sound and environmental sensors without a second infrastructure project.

    • Increase mobility with parking-space management
    • Increase security with sound detection
    • Increase environmental awareness with water-level or gas detection
  • Intelligent Environmental Measurements Solution

    Business case

    Intelligent Environmental Measurements Solution

    Air quality is one of the biggest factors in citizens’ health and quality of life. This case covers using the same node network already deployed for lighting to add environmental sensors — pressure, temperature, humidity, snow level, water consumption, sewer level — and turn the readings into data-driven decisions.

    • Measure air quality alongside existing lighting infrastructure
    • Monitor a wide range of environmental parameters from one network
    • Get the data needed for data-driven decisions about city infrastructure

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