Smart Building Challenges and the Landscape Solution

Smart Building

Regardless of the industry, building managers are responsible for, ensuring their buildings are working effectively. Landscape helps them achieve that goal.

What is Landscape and how will it help you?

The management and operation of most buildings are traditionally relying on after-the-fact reporting. Landscape is seeing historical data from each system, ranging from energy use to occupancy statistics, in the hope that greater efficiencies can be introduced over time. However, with the growth of IoT devices being introduced into buildings and equipment, the challenge of getting real-time operational data is even further compounded by this new deluge of data. Such challenges present a prime opportunity for building managers to invest in intelligence. Landscape IoT enables buildings to continually manage in real-time making decisions that regard safety and in crease to the bottom-line. This eliminates the need for labor intensive, after-the-fact analysis and repair cost. The ROI can yield cost savings, improvements in control, greater occupant comfort and optimal efficiency.

Challenges for thee Industry as a whole

  • Energy costs and demand for smart buildings are on the rise
  • Companies are facing aggressive energy reduction targets
  • Increasing IoT adoption is leading to data overload
  • Many enterprises use disparate tracking systems across multiple buildings
  • Increasing pressure to address environmental concerns


Identify energy waste

Continuous autonomous data collection helps to predict poor performance that leads to energy waste. Landscape will take this info and make decisions in enough time for immediate action to betaken.

View enterprise vitals

Landscape has the ability to roll up to an enterprise location as required. This helps energy managers understand and quickly drill down to systems with issues.

Improve occupant experience

Using Landscape can learn the behavior of things and people in a building. Quick response too alerts and anomalies provides actionable items and procedures which can be addressed prior to them becoming a problem and a distraction to the building users.

Improve decision making

Trust and reliability are critical for improved decision making. Ensuring all sensors are continuously sending data increases the end user’s trust in Landscape, protects the enterprise’s investment in the offering, and enables proactive not re-active maintenance plans.

  1. Data connection: Landscape IoT Building Insights starts by connecting data from various sources. These include IoT sensors, main meters and sub-meters, as well as data coming from any Building Management System or external system, such as Landscape. Using this data, Landscape begins to learn the behavior of the things and people in the building with respect to energy usage.
  • Understand and learn: A knowledge graph of client buildings and assets is created within the semantic metadata layer. The analysis of the data is unique in the industry as it uses augmented intelligence models and historical data to create a baseline for each building, identifies anomalies, predicts energy consumption and identifies waste.
  • Identify and fix problems: With Landscape and IoT, it is easy to determine which sites across your enterprise have energy consumption issues. This is done by scanning a color-coded map and creating a prioritized list of the current ‘energy hogs’ within an enterprise—those buildings using excessive energy,