Data collecting and data analyzing technologies are mainly used by Global Vision FM Division to estimate an event impact and to act accordingly for solving it.
IoT + AI = predictive maintenance
The association of the Internet of Things (IoT) with artificial intelligence paves the way for predictive maintenance, that is, anticipating breakdowns before they occur. Based on the data history, an AI model will be able to reveal operating deviations from an optimal usage configuration and detect signs of failure.
VR for improved training
Virtual reality will support training. Immersed in a virtual universe, the maintenance technician will perform the movements that he must reproduce in a real situation, being able to start again as many times as he wants, record his intervention and, in this way, continue improving continuously.
Virtual reality should not be confused with augmented reality. While the first allows preparing the technical interventions, the second helps the operator during the development of the intervention itself. As the name implies, augmented reality allows contextual information to be superimposed on the vision of reality.
The maintenance technician will have all the useful data that will guide you in your work: drawings, technical sheets, instruction manuals, etc. When the QR code associated with the maintenance equipment is scanned, the technician will have access to the list of operations to be performed and parameters: the correct state of the installation, such as pressure, temperature or humidity level, collected via the connected sensors.
Global Vision has always integrated technology into facility and property management processes delivered to its clients. We developed our own maintenance planner software in order to comply with due dates for maintenance operations and easy monitoring and reporting. At this moment, we cannot work without technology. Our facility management teams have substantially optimized their response time due to digitalization. By putting pressure, temperature or vibration sensors on a computer, the company can know in real-time what its status of operating is and can also prevent breakdowns or deviations within the framework of its product quality policy. For example, if the temperature has a level close to the critical threshold, the system will show a risk of failure, which may or may not require the planning of intervention. Also, by scanning the barcode, the reporting system can assign data to the digital history of each equipment. We store data much easier and this also makes possible the access to information that presents the operating behavior of the equipment in the managed buildings in a specific time.
Prevent breakdowns and extend equipment life
In the factory of the future which adopts a data-driven approach, production is also based on data; From the digital control of the robot to the MES (Manufacturing Execution System), the real-time collection of production data will make valuable indicators of quality, performance, and availability. The first benefit of the factory of the future is, without any doubt, predictive maintenance. Predictive maintenance also helps to extend the life of the equipment, if these are monitored and maintained correctly. By having a good knowledge of its functioning, the company can optimize the operating parameters and costs.