Indoor positioning analytics, the impact of the choice
A lone worker safety & security monitoring system built using indoor positioning data, applying a versatile indoor positioning analytics & and indoor analytics software
Indoor positioning data visualization
- Virtual demarcation of a warehouse or construction site into multiple zones
- Locating lone workers within respective zones created at the construction site
- Visualize IoT 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 reports of workers showing time spent by each worker in different zones at the site
- Generate reports showing the number of intrusions to restricted areas along with entry/exit time stamps
Indoor positioning systems & indoor location data analytics
The above requirements are available on the IoT Platform in the form of user-friendly features. These features were tested out by the research students at test facilities simulated within NUS (Singapore) which helped them gather various insights pertaining to 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 (OPD block, 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
- Shopfloor elements drag and drop
- indoor positioning system integrated with 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 the form of 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 or 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. The best indoor localization solutions in manufacturing and warehouse management.
Indoor location data analytics India
Ripples 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.
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
How accurate is an indoor positioning system? We provide up to 0.5 meter accuracy.