SLATE is an understanding driven data aggregation, analytics and collaboration platform for visualising, alerting, forecasting and reporting on data from specialist systems.

About

SLATE is designed to make remote monitoring projects of all sizes feasible and to increase productivity, margins and value for those engaging in remote monitoring activities from all perspectives i.e. for services suppliers, construction companies, building owners, asset owners, etc. and those on the periphery of remote monitoring projects such as project managers, investors and similar. SLATE does this by providing a rich set of data management, action and reporting tools. It uses understanding focussed AI to support and upskill inexperienced workers as they use the platform as well as driving insight and accelerating key activities conducted on the platform such as report drafting and delivery. For asset owners such as building managers SLATE can be used to aggregate data from disparate sensors and systems that may be installed and can use this data to trigger human focussed messages (email, SMS, etc.) and system triggered activities in remotely controllable systems. For example with room occupancy sensors and a smart lighting system in place SLATE can trigger the lights to turn off when a room is unoccupied and send a message to reception or security staff that the room is now empty, as well as providing reports on actual and future predicted room use via the occupancy data. This is of course a simple and somewhat contrived example and more complex monitoring, action and reporting scenarios are possible. With respect to reporting, automated daily, weekly, monthly or other timeframe reports that describe the performance of a building or a portfolio of buildings can be defined and scheduled. This means that once configured, asset owners and building managers can sit back and receive scheduled information on their infrastructure in a regular digestible format, whilst also being able to login at any point to review the current status of all monitored places in real time. Furthermore SLATE can incorporate data into 2D and 3D schematics of buildings such as floor plans, CAD drawings, photographs (e.g. from remote cameras), blueprints and BIM models to aid visualisation of sensor data, forming a digital twin of the building and the processes occurring within it (which can then be extended to model future or alternative behaviours such as predicting energy usage and cost with increased occupancy for example). Finally our overview map provides a GIS style interface for rapidly viewing the locations of buildings in the world and ascertaining the status (e.g. red, amber, green) of key building metrics. Though a SaaS solutions provider who typically works with other businesses providing the monitoring service(s), we do also have options for bespoke sensor system development as and when necessary to aid data aggregation or integration (particularly with existing/legacy systems).

Key Benefits

Among other benefits SLATE provides: o Sensor agnostic data aggregation o Manual and automated report generation and scheduled delivery o Alerting/triggering based on data thresholds and statistics o Quantitative and qualitative AI features to enhance understanding and support productivity o Raw and calculated data overlays onto GIS, video, image and schematic views o Data combination with 2D and 3D digital twins of structures and processes o Trend charts, x/y plots and dashboards o Groupware features supporting collaboration including a shared files and data repository o Support for unlimited numbers of sensors in a project o Raw and calculated data relay from remote systems onto other platforms via SLATE.

Applications

Remote monitoring of: - Simple and advanced construction projects - Structural health of civil and other assets - Building performance, use and environment - Tunnels, mines, dams and reservoirs - Ground engineering and marine data analytics - Environmental metrics (e.g. air quality, water drainage, soil quality) - Usage metrics (e.g. foot fall, behaviour, etc.) Data based triggers based on data analytics including - Alerting/alarming (e.g. for warnings based on data) - Process triggering (e.g. for intelligent automation or similar applications) Digital twin development and process/usage cost modelling. Data and process integration, for example: - External data feeds triggering remote processes in buildings - External data plus monitoring data to model or trigger processes in buildings Examples of external data could be energy prices, marketing information, economic data, ticket sales, weather information or variety of other information.

Register for free for full unlimited access to all innovation profiles on LEO

  • Discover articles from some of the world’s brightest minds, or share your thoughts and add one yourself
  • Connect with like-minded individuals and forge valuable relationships and collaboration partners
  • Innovate together, promote your expertise, or showcase your innovations