Cloud2IR is an autonomous software architecture, allowing multi-sensor connection (i.e. Infrared Thermography), dedicated to the long term monitoring of infrastructures. Past experimentations have shown the need as well as usefulness of such system. Before Cloud2IR an initially laboratory oriented system was used. Based on such system Cloud2IR has benefited of the experimental knowledge acquired to redefine a lighter architecture using generics standards, more appropriated to autonomous operations on field and which can be later included in a wide distributed architecture. The system has been developed in order to cut down software integration time which facilitates the system adaptation to each experiment specificity. That’s why we propose a bi- headed architecture. A specialized part, it represents the sensor specific development as well as their drivers and their different fixed configurations. In our case, as infrared camera are slightly different than other kind of sensors, the system implement in addition an RTSP server which can be used to set up the FOV as well as other measurement parameter considerations and a generic part, which can be seen as the data management side. This last part can be seen as the first embryo of a future generic framework dedicated to the data management of local multisensors (DaMaLoS). It’s able to aggregate any sensor data, type or size and automatically encapsulate them in various generic data format as HDF5 or cloud data as OGC SWE standard. This whole part is also responsible of the acquisition scenario the local storage management and the network management through SFTP or SOAP for OGC Web services. The data side only need an XML configuration file and if a configuration change occurs in time the system is automatically restarted with the new value. Cloud2IR has been deployed on field since more than one year at the SenseCity outdoor test bed and several month at the Inria test bed, both located in France. The system aggregates various sensors as infrared camera, a GPS, multiple pyranometers, a weather station and a proprietary access to the SenseCity data viewer. The SenseCity test bed consists of two lodges, both are instrumented and one is monitored by infrared, in this last lodge various insulating defects have been included in order to test our systems and models. This paper will show the results of the first year of the system use.