A complete and flexible solution for the automatic management of monitoring data
AIDA IoT allows you to access, analyze and process monitoring data from many different applications, 24/7, 365 days a year.
Why AIDA IoT
The progressive aging of infrastructure directly results in the increasing need for continuous monitoring. AIDA IoT is aimed at professionals (engineers, geologists, technical personnel) who need to remotely manage monitoring data for their projects efficiently, conducting rapid analyses to prevent potential risks of structural or environmental damages.
How AIDA IoT was born
AIDA IoT stems from the experience of Field (a company belonging to the Sisgeo group) that has been providing advanced services in the field of geotechnical, civil, and structural engineering for about 25 years, in Italy and abroad. The experience directly gained on construction sites has allowed Field to develop distinctive skills in data acquisition, processing and analysis.
Field boasts a team of highly specialized professionals, including geologists, engineers, surveyors and technicians who can provide technical support to clients in the design, implementation and maintenance of monitoring networks dedicated to infrastructure.
How AIDA IoT works
AIDA IoT is based on an SQL server database, the most widely used query language for creating, modifying and managing data within a relational database. Through its web pages, data are always available to the user in both graphical and tabular formats.
Managing data with AIDA IoT
Data generation
Data recorded by sensors installed in the field are transmitted via the Cloud to an AIDA IoT server using different transmission protocols (FTP/API Rest/MQTT the main among others).
Data processing and validation
AIDA IoT processes and validates the data from an engineering perspective, making them available to the user in real-time in both graphical and tabular formats.
Data visualization and analysis
Users can select the data visualization mode, set customizable alarms, create customized periodic reports and simulate the evolution of monitored parameters using Machine Learning. Access to data can be through PC, tablets and smartphones.
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