###### Abstract
This strategy centres on generating indicators to detect corrosion early to reduce costs and to optimise time while performing RCS inspection and assessment tasks [3]. Such sensors make the complicated nature of present-day methods simple, avoid travelling, and allow even inaccessible structural elements to be analysed. Several authors have pointed out that, in forthcoming years, corrosion monitoring systems for remote sensing will play a key role in maintenance, assessment, and life prediction by providing quantitative information about the condition of rebars when embedded in concrete [34]. There are presently many examples of embedded sensors that can be used to determine RCS corrosion. Some of them, such as fibre optic sensors, allow us to qualitatively know the state that rebars are in [35; 36; 37]. Other examples are those that focus on determining if aggressive agents are present, such as those made up of Functional Magnetic Materials (FMMs) [38]. Nevertheless, the most efficient ones are capable of providing real data about the corrosion rate of rebars embedded in concrete [39; 40]. These systems are based on an inserted sensor and are being applied to electrochemical measurement techniques [41]. The biggest drawback of this last group is that most of them have been validated in a laboratory, and very few have actually been implemented in real cases because there are still different challenges to be overcome [33]: the possibility of being implemented in both new and already existing structures; they must be autonomous and reliable systems; they must have a low cost; and their service life must be longer than that of the structure where they are to be implemented [33; 42; 43]. One of the examples that is able to overcome these drawbacks is the monitoring system named INESSCOM (Integrated Sensor Network for Smart Corrosion Monitoring) and developed by the authors of [44; 45; 46]. Despite being a remote sensing system already used in real structures [44; 46], the authors are still working on improving it. Part 1 of this work proposed implementing a new measurement protocol in an existing monitoring system to determine double layer capacity [33]. The obtained results demonstrated that, in this way, it is possible to determine not only the corrosion intensity of embedded rebars, but also the triggering agent of the corrosion process, even when the recorded corrosion kinetics are similar [33]. This is actually a major contribution to this field because the information acquired by this monitoring system will allow intervention or repair strategies to be defined that will neither require supplementary testing nor involve having to make inspections or performing tasks in situ. All this will significantly reduce the costs of having to do repair work of corrosion-affected RCSs. In Part 1 of this work, the designed measurement protocol (corrosion rate and double layer capacity) was validated in a laboratory as implemented in INESSCOM. This took place on reinforced concrete proves with embedded sensors [33]. The test specimens were exposed to different environments and, by applying the established protocol, it was possible to measure rebar corrosion rate and to determine the precursor agent of corrosion. The objective of this Part 2 is to demonstrate its suitability in a real case by monitoring structural elements exposed to distinct environments. To do so, first a brief description of the INESSCOM system is provided and the new implemented measurement system is defined. Second, a monitoring experimental plan is presented, which was carried out with this tool on three scaled columns exposed to different environments. For 4 months, the monitoring of the corrosion and double layer capacity of several sensors embedded in different zones of the test specimens was carried out. The results demonstrate the reliability with which the proposed protocol (>95%) can be applied to analyse corrosion and to identify the precursor agent of this phenomenon.