Every profession and occupation in each industry comes with their own occupational hazards as a result of which each year more than 2 million people lose their lives in occupational accidents and fatalities. But construction industry tops the charts with the highest rate of 1 in every 5 workplace fatalities occurring in the industry. On an average 2 construction workers die each day because of on-site fatalities at construction sites in the US alone and that’s a startling figure of deaths annually. All these factual findings propagate the need for a secured construction industry. With ThingsGoSocial, we aim to make the construction industry secured from the fatalities for a safer workplace.
Secured construction sites with a smart ecosystem of integrated sensors connected using IoT and optimized using advanced data analytics and AI algorithms.
Part with the threats of theft, vandalism, along with all other perils afflicting the site increasing the security concerns thereby.
A social platform to connect the industry, its equipment and employees to control and manage them with a centralized interactive dashboard.
Save money and time with reduced unplanned downtime and construction vehicles breakdowns. Minimized cost and reduced losses by predicting them in advance while optimizing the operations with scheduling maintenance.
Manage and control all the operations and machines of the site remotely along with real-time alerts, notifications increasing the ease of management and increased control.
Connected equipment and machines lets you keep a track and measure all their vital data extracted from physical parameters like engine load, temperatures, pressures, etc. This facilitates condition based monitoring for scheduled and predictive maintenance optimizing their performance thereby optimizing the operations.
Complete transparency of the tools/equipment/machines performance, location, and issues. This would prevent theft, misuse, and more.
Track the energy consumption for efficient utilization while saving energy. Regulate the fuel consumption of machines to prevent wastage.
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