What is the compelling need for Indoor positioning analytics?

Indoor positioning analytics, the impact of the choice

A lone worker safety & security monitoring system built using indoor positioning analytics data, applying a versatile indoor positioning analytics & and indoor positioning software

Ripples IOT Indoor positioning analytics, indoor analytics for GPS

Indoor positioning data visualization

  • Virtual demarcation of a production shop floor into multiple zones
  • Locating lone workers within respective zones created at the construction site
  • Visualize the RTLS indoor location of these workers on a 2D map using indoor positioning data
  • Mapping movement matrices of the workers to improve worker productivity and safety
  • Features to analyze the efficacy of the connected workforce concept
  • Create go-no-go zones to restrict worker access to hazardous zones
  • Initiate alarms to concerned personnel if workers move into restricted areas
  • Generate time-spent report by each worker in different zones
  • Reports showing the number of intrusions to restricted areas along with entry/exit

Indoor positioning systems & indoor location data analytics

The above requirements are available on the RTLS Platform as user-friendly features. The research students tested these features at test facilities simulated within NUS (Singapore), which helped them gather various insights about a construction site.

This mainly involved capturing movement matrices of the workers, providing alerts when workers moved into restricted areas, and providing time-spent reports of the workers in various zones of the simulated construction site. The insights gathered will be further used in real-world construction sites to ensure the improved safety of the workers. The same will also be used to educate concerned construction personnel on techniques to improve site efficiency and productivity.

Indoor analytics and tracking for workflow monitoring

The pivot table consists of fixed variables like date, zone, floor, object name, category, and staff details in its rows, and changeable variables like name of the zones (shop floor, reception, exit way, etc), floors, cluster names in its columns. The pivot table also provides an environment monitoring option to keep the room’s humidity, temperature, and airflow at optimum levels. 

The ultimate feature offered by the indoor positioning data analytics solution is its unique customization for representing the collected data. The data can be represented either or together in the following ways, 

  • Visual representation
  • Quantitative representation
  • Parameter to be represented
  • Custom sorting based on zones, login, and logout times
  • Shop floor elements drag and drop
  • indoor positioning system integrated with RipplesCMMS facilities management software

Visual Representation of shopfloor data – The data received from the sensors are projected onto the pivot table through visual representation tools. It will be represented in various illustrations (not limited to) such as histogram, box plot, heat map, bar graph, line graph, and frequency table using the best indoor positioning system.

Parameter to be represented – The quantitative data obtained from the sensors are displayed on the pivot table as numerical entries based on various parameters. These parameters can be selected based on needs. The parameters include time spent in a room, the temperature of a room, the number of persons in a zone, the number of visits paid to a zone, etc. If one wants to know the number of visits made by a worker to a particular zone, the parameter to be selected will be visit count, which is customizable.

Quantitative Representation – Once the parameter is decided, the numerical entries can be represented by an array of quantitative parameters. These quantitative arrays include the sum, average, range, median, mode, standard deviation, etc. For example, if the parameter selected is visit count, then the data can be viewed as the sum of the visit counts by a physician an average of the visit counts, and so on. 

Custom Sorting – This is a basic feature tool available in the activity report dashboard. It facilitates sorting the data entries in ascending and descending order. This sorting can be done by both horizontal rows and vertical columns of the pivot table for effective indoor positioning data analytics for the best RTLS in manufacturing 

Indoor location Data Analytics India

RipplesIPS Indoor positioning system provides the industrial capability for deployment to scale when it comes to large areas. indoor positioning system research paper on request for verticals such as healthcare, logistics, manufacturing & construction industries.

Indoor location data visualization, indoor analytics

Call us to know more – How does the indoor positioning system work? How to implement shop floor data analytics solutions to improve factory and warehouse productivity from focused indoor positioning system companies.

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