"Smart" gadgets
" Smart" gadgets are portable devices equipped with GSM , navigation, 2G , three-axis accelerometer, SOS button and Bluetooth .
Smart bracelets monitor employees’ health, remind them to take breaks at work, and reduce the risk of injury. These measures ultimately help workers focus on completing tasks, which in turn leads to a 15-20% increase in productivity.
"Smart" helmets provide control over industrial safety. Entering a dangerous area, hitting, falling — all incidents are recorded in real time. When such situations occur, a signal is sent to the dispatcher. Route reports are automatically generated, which helps analyze data to improve safety and increase work efficiency.
The hardware and software complex on which these devices operate may include geolocation systems and intelligent data processing. This approach allows for the creation of a more comprehensive security system, which is especially important in situations where point solutions are not effective enough.
One of the subsidiaries of JSC SUEK has introduced "smart" helmets to improve the safety of employees working in difficult climatic conditions and with fine coal dust. These devices warn of belgium mobile database dangers. Using GPS, they accurately determine the location of employees even in conditions of limited visibility. The introduction of these technologies significantly improves industrial safety at the terminal, minimizes risks and speeds up the response to incidents.
Predictive analytics is a method that uses statistics and machine learning to forecast events based on historical data.
Technological video analytics in combination with predictive analytics is actively used in various industries: in the food industry - for quality control, in the energy industry - for load management, in metallurgy - to improve the efficiency of processes.
In large metals and mining companies, such systems predict pit regulator failures and optimize production schedules.
Dairy producers can significantly improve operational efficiency with analytics and forecasting services. These systems combine data from multiple sources to predict milk quality parameters and market prices in real time. For example, milk fat content can be predicted 8 weeks in advance, and protein content 18 months in advance.
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