## 1 Introduction
The work presented in [23] describes one of the first applications in an embankment slope, ad hoc instrumented with inclinometers with optical fiber sensors glued on. The described set-up shows the suitability of that array of sensors to detect soil strain increasing during rainwater infiltration. However, the cost of such type of monitoring was not competitive, and technical problems due to the instrumentation of the inclinometer's tubes made this application only a prototype. Moreover, most of these researches were based on the Fiber Bragg Grating (FBG) sensing technique [24; 25; 26; 27; 28]: with this method, only small portions of the optical cable constitute the sensors. The FBG sensors connected and glued onto the surface of a plastic rod for measuring bending strains and axial strains give pointwise information along the inclinometer tube. In landslide detection, where often the sliding surface localizes in a very narrow shear band, pointwise measurements can fail to recognize actual soil movements. Consequently, distributed sensing results in a more effective tool. In [29; 30; 31], further investigation on landslide monitoring using physical models highlights the difficulties in setting up and analyzing the coupling between the soil and the sensor. Moreover, since the optical fiber sensor is simply embedded into the soil, it is recognized that the strain transfer between the soil and the sensor is not wholly ensured, and also depends on the overburden pressure. The qualification and surveillance of structures require testing and monitoring that are usually done using pointwise sensors. The acquisition time is limited to the initial lifetime of the structure or at the end of manufacturing. Several analyses for SHMR can be found in the literature based on ultrasonic testing [32; 33], thermography [34; 35], and measurements of static deformation and dynamic vibrations [36; 37]. Moreover, some static stress and dynamic vibration analyses using strain gauges, accelerometers [38] or contactless laser Doppler vibrometers, broadband reflection gratings with multicore optical fiber [39; 40; 41] are often described. However, many research works suggest that one of the biggest challenges of SHMR is to prevent the sensor from damage [42; 43; 44]. In this respect, optical fibers for telecommunications, which are the sensing devices when Brillouin Optical Time Domain Analysis (BOTDA) is used, are very robust and do not suffer time or chemical degradation, provided the fiber is adequately protected from mechanical injuries, as it is the case of the sensor proposed here [45; 46]. [PERSON] and [PERSON] describe the evolution of the SHMR with a review of the major experiments and results carried out to date and show the effectiveness of the use of optical fiber sensors [47; 48]. Many works describe embedded sensors for different types of structures: reinforced concrete wall, pre-stressed concrete bridge [49], the optical fiber in wind turbine blade [50], integrated optical fiber in functionalized carbon structures (FCS) [51] and also for the detection of vibration, surface cracking and buckling phenomena [52; 53; 54] in reinforced concrete, pre-stressed concrete (PSC) [55], and post-tensioned PSC [56], where the effectiveness of distributed sensors is highlighted. In [51], an example of the integration of functionalized carbon structure with optical fiber sensing is reported, but experimental results concerning integrated reinforcement and sensors are not yet present to the authors' knowledge. The present paper aims to show a prototype of an improved transducer (New Smart Hybrid Transducer (NSHT)) that can overcome the drawbacks of traditional solutions based on pointwise sensors [57]. At first, one must specify that NSHT is a transducer, which is a complex system of which the sensor is only one of the constituents. The system allows for the continuous monitoring of engineering works and terrestrial portions, even for lengths of hundreds of meters, while providing information about mechanical deformations and thermal variations.