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Geolocation of lone workers, what is it?

 

On a construction site, regardless of its size, operator safety and resource management are essential. Knowing that 40% of work accidents in France concern workers, we quickly realize that there is significant room for improvement. Using a geolocation solution for workers will make it possible to respond to this challenge by improving their safety, as well as optimizing the management of teams and subcontractors. Knowing in real time the number of operators present on site and knowing in which zone or on which floor they are located will in fact make it possible to avoid numerous accidents. For example, in the event of an incident (fire, collapse, etc.), each operator will receive an audible and visual alarm telling them to evacuate. In addition to strengthening worker safety, this type of solution will also make it possible to secure the site by limiting access to it to people equipped with a badge. Improving safety on a construction site also means improving its overall performance by streamlining the intervention of the various professions and avoiding potential delays.

construction site management with Jaxicloud Fleet management Ble tracker I Becons

How does the geolocation of lone workers work?

i Tondeler with tracking of unstyred employee safe over everything with JaxiCloud Fleet Management I Beacons tracker person tracker

From a technical point of view, the lone worker geolocation solution is based on an extremely lightweight infrastructure consisting of fixed and mobile tags that create a mesh network . The fixed tags, also called "anchors", are placed at regular intervals on the walls of the construction site, and the mobile tags, 100% anonymous, are worn by the operators (glued to the construction helmet or worn as a badge).

 

The location information is calculated from the signal intensity (RSSI) emitted by the mobile beacons and sent back via the network of fixed beacons to the industrial gateways. Located in a few strategic locations, these gateways will centralize the raw data and transmit it to the client’s server. The information will be transformed into GPS data by the positioning tool Wirepas Positioning Engine. Once the data has been transformed, the end user will be able to view it on the business application.

 

On this visualization platform, the end user will be able to visualize on a Google Maps type map the position of the operators on the site and their distribution according to zones. It will also be able to send them an audible (Buzzer) and visual (LED) warning in the event of an evacuation plan. Real decision-making tools, dashboards provide factual information about the organization of the site and facilitate arbitration and decision-making.

Why integrate Jaxicloud Fleet Management Innovation location tags into your lone worker protection solution?

Jaxicloud Innovation location tags are ideal for meeting the geolocation and protection needs of lone workers for a variety of reasons:

100% autonomous, compact and robust

 

Their battery operation provides up to 14 years of battery life.

 

These beacons are perfectly suited for extreme environments.

 

Quick and easy installation Ultra simple to install thanks to the different attachment methods (high-performance double-sided sticker or screw-on support), these beacons can be attached to all types of surfaces and require no wiring.

 

Geolocation without GPS

 

This solution is based on Wirepas Mesh positioning technology, which does not require cables and works without GPS, making it very easy to implement in all types of locations, even underground.

Quick and easy installation

 

Ultra simple to install thanks to the different attachment methods (high-performance double-sided sticker or screw-on support), these beacons can be attached to all types of surfaces and require no wiring.

 

Real-time geolocation

 

The indoor location technology used provides an accuracy of up to 5m depending on needs. The location tags used embed a 3-axis accelerometer, allowing them to update positioning data more quickly as the operator moves.

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