Trimble

Trimble needs a solution to enable better collaboration and communication between coworkers remotely, instead of using paper / 2D to communicate with each other about 3D designs.

Beijing Urban Construction Group (BUCG), a China-based international construction group, was contracted for a $440 million expansion and land reclamation project for the Maldives Airport. The project involved extensive land reclamation work, mass excavation, fine grading, and precise runway paving and compaction. The expansion required the removal of four million cubic meters of sand from the inner lagoon adjacent to the airport. The project also involved the construction of a new 3800 meter-long and 65-meter-wide runway, a fuel farm, a cargo complex, and a new terminal. The project faced tight parameters and required streamlined data flow and communication across the build. BUCG sought to improve safety and productivity, optimize operations, and complete the project on time and within budget.

Dillon Transportation, a dry van transportation company, experienced significant growth since its inception in 1996. From a humble beginning with one truck and two drivers, the company expanded to a fleet of 125 trucks and 170 drivers and crew members. However, this rapid growth brought about a challenge. The owner, Donnie Dillon, found it increasingly difficult to keep track of every driver and truck in his fleet. He could no longer remember the specifics of each trip, which he previously kept in his head. The company needed a more sophisticated way of storing information about drivers and loads. They required a system that would allow employees to access the specifics of each trip easily. The challenge was to find a solution that could manage the growing complexity of their operations.

Streamline digital connections between people, processes, and equipment.Today, this pioneering company continues to lead the way in both talent and modern technology deployment to deliver some of the industry’s most complex projects. With over more than 30 3D machine control systems that are used on dozers, excavators, motor graders, and skid steers; 30 rovers and total stations; and 50-plus base stations, the company maintains one of the largest technology-enabled fleets in the Upper Midwest. 

Termotex S.A., an international company specializing in the design and assembly of industrialized insulating construction systems, was facing challenges in coordinating crews, deciphering blueprints, and matching 2D blueprints to the 3D construction at the site. The company had to rely on a project engineer and a quality control inspector on site, but this was often insufficient to avoid mistakes and clashes resulting from incorrect or outdated information. To overcome this, Termotex started creating Building Information Modeling (BIM) designs and switched to tablets instead of paper blueprints on the job site. However, the CEO, Andres Casanova, realized that a good BIM model alone was not enough to increase speed and precision in their construction projects. He sought a combination of technologies and new workflows that would enable automation and data-sharing from start to finish, and wanted to leverage mixed reality to better utilize their BIM models in the context of the actual job site throughout the entire construction process.

The San Francisco Public Utilities Commission (SFPUC), the third largest municipal utility in California, provides water, wastewater, and electric power services. The SFPUC manages an extensive wastewater system that collects, conveys, and provides secondary treatment to combined sewage flows within the City and County of San Francisco. However, like many utilities, SFPUC faces challenges such as environmental compliance, climate variability, aging infrastructure networks, financial shortages, and labor efficiencies. The SFPUC's environmental monitoring program is driven by regulatory compliance, calibration of the city-wide hydraulic and hydrologic (H&H) model, establishment of repair and rehabilitation prioritization, and real-time operational decision support. Other factors include early warning from collection system to plant operations, pre-development monitoring for upgrades, and forensic analysis of wet-weather and storm effects.