Com’in Uses AI and the IoT to Better Manage Construction and Public Works Projects

The amalgamation of IoT (Internet of Things) and AI (Artificial Intelligence) technologies opens up new opportunities for construction and public works stakeholders in terms of performance, sustainability and acceptability of construction sites. A set of innovative solutions focused on improving the management of activities and impacts on construction projects provides an illustration of this.

The Com’in organization brings together various startups born out of the Bouygues Group’s intrapreneurship program. Their solutions, designed by and for construction professionals, involve the collection of field data via sensors and the analysis of this data, in some cases, using AI. Together, they make up a complete portfolio of services that enables better monitoring of operations and better decision-making on construction projects.

My Omniscient, for Keeping Stock of Materials

One of these solutions, My Omniscient, responds in particular to the challenge of monitoring and managing resources on construction sites. It was created in 2018 by Nicolas Lemaire, who, having spent nearly 20 years working on construction projects for fiber optic networks noted that: “The traceability of materials used in the field, especially in programs involving dozens of teams and trucks over a vast area, is made more complex since it is most often processed using traditional means, via Excel spreadsheets or by phone call. Despite the existence of some technologies that deal with this problem, we noticed at the time that we were still lacking an interface to contextualize the activity. My Omniscient seeks to remedy this, by connecting materials and making them communicate, pass on information, and store and analyze key information, such as their location, their assignment, etc.”

Transforming Material Management

My Omniscient comes in the form of a web application through which users, such as equipment managers, job managers and site managers, can access a complete view of their inventory, as well as a location map. Each material is linked to a dedicated record including its description, type, assignment history, locations and checks, etc. This means finding and filtering for information is quick and easy. “The platform saves a significant amount of time, and money, on the day-to-day management of materials. By monitoring equipment verification and checks, it also mitigates risk from a regulatory point of view. Lastly, the use of telematics also provides a detailed view of resource use, for optimized long-term management.”

The Journey of Data, from Sensors to AI Processing

The system is based on a three-layer architecture: hardware (sensors ranging from RFID tags to autonomous GPS trackers and Bluetooth Low Energy beacons), connectivity for uploading the data, and a software component to adapt and recontextualize the data using advanced AI processing.

It saves a significant amount of time, and money, on the day-to-day management of materials and their long-term coordination.

Following the announcement by Objenious of the scheduled shutdown of its LoRaWAN network, My Omniscient turned to Orange, which plans to maintain its own network for several years to come. A project was started to migrate the inventory managed by the startup—nearly 20,000 connected objects in France—to the Group’s Live Objects platform and LoRaWAN infrastructure. My Omniscient is also looking into the possibility of a long-term deployment of its solution on NB-IoT and LTE-M cellular networks, whose strong presence will help customers in their inter-country or international projects.

A Global Offer to Monitor Activities and Risks

Although My Omniscient responds to operational efficiency issues, it forms part of the global Com’in range of shared intelligence technologies for monitoring activities and risks on construction sites. This range includes solutions for measuring the impacts of construction sites (for example, noise and environmental pollution), structural and geotechnical monitoring of neighboring works, safety and location of workers, and traceability of rubble.

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