Full text
Sensors 2015, 15, 7246-7266; doi:10.3390/s150407246 sensors ISSN 1424-8220 www.mdpi.com/journal/sensors Article Design of a Hybrid (Wired/Wireless) Acquisition Data System for Monitoring of Cultural Heritage Physical Parameters in Smart Cities Fernando-Juan García Diego 1,2,*, Borja Esteban 1 and Paloma Merello 1,3 1 Department of Applied Physics, Universitat Politècnica de València, Av. de los Naranjos s/n, Valencia 46022, Spain; E-Mails: [email protected] (B.E.); [email protected] (P.M.) 2 Centro de Tecnologías Físicas, Universitat Politècnica de València, Av. de los Naranjos s/n, Valencia 46022, Spain 3 Instituto Valenciano de Conservación y Restauración de Bienes Culturales (IVC+R), Complejo Socio-Educativo de Penyeta Roja s/n, Castellón 12080, Spain * Author to whom correspondence should be addressed; E-Mail: [email protected]; Tel.: +34-96-3877000 (ext. 75241). Academic Editor: Antonio Puliafito Received: 8 January 2015 / Accepted: 16 March 2015 / Published: 25 March 2015 Abstract: Preventive conservation represents a working method and combination of techniques which helps in determining and controlling the deterioration process of cultural heritage in order to take the necessary actions before it occurs. It is acknowledged as important, both in terms of preserving and also reducing the cost of future conservation measures. Therefore, long-term monitoring of physical parameters influencing cultural heritage is necessary. In the context of Smart Cities, monitoring of cultural heritage is of interest in order to perform future comparative studies and load information into the cloud that will be useful for the conservation of other heritage sites. In this paper the development of an economical and appropriate acquisition data system combining wired and wireless communication, as well as third party hardware for increased versatility, is presented. The device allows monitoring a complex network of points with high sampling frequency, with wired sensors in a 1-wire bus and a wireless centralized system recording data for monitoring of physical parameters, as well as the future possibility of attaching an alarm system or sending data over the Internet. This has been possible with the development OPEN ACCESS
Sensors 2015, 15 7247 of three board’s designs and more than 5000 algorithm lines. System tests have shown an adequate system operation. Keywords: cultural heritage; microclimatic monitoring; acquisition data system; wired/wireless; Smart Cities 1. Introduction Preventive conservation methods are based on the concept that controlling some of the major deterioration causes in the environment it is possible to ensure the sustainability and durability of the art work [1]. Depending on the nature of cultural heritage, the deterioration causes are subjected to the influence of different physical parameters. For example, artworks are influenced by terms of stress caused by physical agents such as temperature, humidity, radiation, and chemical agents (e.g., CO2, SO2, O3, mineral salts, etc.) [2], meanwhile, temperature and humidity can reach especial importance on archaeological structures because of being majorly stone-built [3,4]. But generally, abrupt changes of temperature and relative humidity (RH) may cause serious damage in all the different kind of objects, such as non-isotropic material deformation or detachment in materials of several layers [5]. In hygroscopic materials, such as wood panels, which are the mainstay of many artworks, mechanical changes and deformations could occur [6]. In the case of frescoes, soluble salts and moisture are the very common causes of deterioration; therefore an early detection of dangerous values of these physical parameters (together with other chemical parameters in some cases) is essential to avoid this kind of damage [7]. Thus, both long-term monitoring of the environmental parameters as well as further analysis of the recorded data are necessary [8]. The concept of “Smart City” is notoriously liquid, scarcely formalized and, in some degree, subject to different ideological interpretations [9]. Normally Smart City is associated with real-time monitoring and cloud computing [10]. However, Smart Cities should not necessarily be restricted to real-time monitoring. In fact, in the case of monitoring cultural heritage, historical data (without underestimating real-time alarms, etc.) is more interesting as it is important to characterise the site for performing comparative studies in the future, either regularly, in order to verify whether the conditions are constant, or occasionally, when the boundary conditions are altered [11]. Thus, the aim of monitoring cultural heritage in a Smart City would be sending all these recorded data to internet so they can be checked and serve as an example for the conservation of other similar sites. The environmental monitoring is performed by a regular data recording, whose frequencies typically range between one datum every hour (1 datum/h) or every day (1 datum/day) [12,13]. Monitoring with frequencies near 60 data per hour (1 datum/min) is interesting as power and confidence of the statistical analysis performed increases in direct proportion to the sample size used [8], and therefore develop a monitoring system with large grid of sensors and big memory to store large amounts of data from high recording frequencies is interesting. Different works monitoring cultural heritage are found in the literature [14,15]. Most of them use individual data-loggers. Some authors [16] use Hobo data-loggers [17], and other studies [6,11,18] work
Sensors 2015, 15 7248 with data-loggers DS1922L [19] and DS1923 [20]. Data from these data-loggers cannot be sent automatically to the cloud and due to they are commercial devices, its hardware and software is unknown and cannot be modified. There are also papers that have studied the microclimate in churches making use of a wired sensor network composed of different lines and sensors and a single microcontroller [7,21]. The experience with the DS1923 [18] has demonstrated that individual data-loggers battery and memory get depleted around the third month of work in cases where data has to be taken with high frequency. Moreover, results of each data-logger must be combined into one file. Software to combine the data automatically once they are in the computer could be developed; however the hardest part of the work consists in loading data into the computer one by one. A sensor network solves the issue of the lack of memory and battery but only SDI-12 [22] protocol is able to reach cable length of 250 m and devices with this protocol are much more expensive and do not allow connecting enough sensors (no more than 60) to cover cultural heritage applications [21]. Therefore, the best option is to develop a new kind of network data-logger adding more cable length, amount of sensors connection, flexibility and lower consumption and price than a computer and other data acquisition systems. The own development of monitoring systems from the experience of the requirements of the particular field of action is essential for the technical and cost efficiency of these [23]. Some papers have developed acquisition systems for remote control applied to cultural heritage [24,25]. This paper deals with the necessity of a low cost data-logger able to collect and record data of physical parameters from extended areas for preventive conservation applications, combining wired and wireless communication protocols. In this paper we present a device able to communicate with sensors using 1-Wire protocol, programmed to control the frequency of data capture, with a failure protection system, meeting as much as possible with the requirements of the market and consumers and with a versatile programming that allows its extension to different application such as alarms, sending data via Internet, etc. for Smart Cities. 2. Materials and Methods 2.1. Sensors The device will be developed thinking on the sensors selected and their protocol of communication. In this case, sensors are predetermined by Maxim Integrated Company for its proven operability in cultural heritage purposes [7,21], as well as its wide range offer of sensors, analogue to digital converters and not expensive prices. A practical application for the testing of the system is performed at the end of this paper. Two 1-Wire slaves were assembled in a single double sided printed board of 12 mm × 26 mm: a DS18B20 [26], which is a temperature sensor with an accuracy of ±0.5 °C, with a range of measurements from −10 to +85 °C, and an Analog to Digital Converter (ADC) DS2450 (Maxim Integrated Products, Inc., San Jose, CA, USA) [27] which can use one of its four channels to read the analog potential of a HIH 4030-001 RH sensor [28] (Honeywell International, Inc., Minneapolis, MN, USA) with ±3.5% RH accuracy (uncalibrated) and a range of measurements from 0% to 100% of relative humidity.
Sensors 2015, 15 7249 The Maxim Integrated devices have their own and unique serial number implemented in production and impossible to change. A calibration procedure with aqueous solutions of two salts (lithium chloride and sodium chloride) was applied in laboratory according to the standard ASTM E 104–02 [29] in order to study the measurement errors of RH sensors. All RH sensors were introduced in a small chamber equilibrated with a saturated solution of a salt. Next, calibration equations were obtained for each sensor in order to relate the voltage output and RH. 2.2. Wired Transmission Protocols The protocol selected for controlling the sensors by the master is 1-Wire. The number of sensors and the restrictions to install them in each application are quite unpredictable. So to offer a major flexibility into the data logging network, the structure of the data-logger is going to be divided into three different modules (Master module, Slave module, and Wireless module). In order to make available the communication, each module has to have its own microcontroller, so one is installed in each module, and I2C protocol is selected to communicate modules physically connected. This protocol will be used for the data transmission through the board as it offers a good baud rate with synchronic communication and it is very simple to implement. 2.3. Wireless Transmission Protocol The system includes an xBee module to offer wireless support [30]. This device is able to route messages using the IEEE 802.15.4 standards. This protocol offers to these modules the next features: low tax of noise interference, low tax of interferences, low power consumption (depends on the actuation range), high taxes of transmission power and reception sensibility, extra encryption services (application and network keys implement extra 128b AES encryption), association and authentication (only valid nodes can join to the network), AODV routing protocol [30]. This allows the data-logger to send information about its sensors to a Master device in order to store data. Furthermore, the system can include as many wireless data-loggers as is necessary to accomplish the number of sensors and distance requirements. 2.4. Microcontroller ATmega328 In order to dispose a simple programming environment all the libraries were implemented in C++ for the microcontroller. The company Arduino offers a solution with all the microcontroller functions needed for the application. Specifically microcontroller ATmega328 is available in the market with a low price and has “Arduino UNO” board to program the microcontroller. The ATmega328 has the minimal requirements for the application. It has one I2C port in order to connect with the device DS2482-800 [31] and the external clock [32] together with an USART to connect other peripherals like an USB memory. The programmable memory is 32 kB so it is enough to store all the necessary libraries, the serial number of the sensors and the main program. Moreover, it is equipped with digital and analogic inputs and outputs modulated by PWM to improve or adapt our data-logger to a wide range of possibilities.
Sensors 2015, 15 7250 Communication between microcontrollers is possible using the I2C port between modules and the USART port for the wireless device. Arduino Integrated Development Environment (IDE) provides all the libraries to enable this communication. As the microcontroller does not have 1-Wire port, device DS2482-800 of Maxim Integrated [31] manages automatically 1-Wire protocol enabling the system to connect a theoretically unlimited number of sensors per channel and a kilometre of wire. This device is equipped with 8 different 1-Wire channels. 2.5. External Clock The DS1307 (Maxim Integrated, Inc., San Jose, CA, USA) is the device implemented as external clock on the printed circuit board. This device also uses I2C protocol to communicate with the microcontroller, has a low consumption energy rate and an external battery for guaranteeing the operation if the main input current falls down [32]. 2.6. External USB Memory Data-logger is developed to save all data inside an external memory by the use of a peripheral USB. The device used to arrange the USB is the peripheral VDIP1. This device and its microcontroller FTDI have been developed by the company Fdichip [33] and include all the necessary programs installed to provide access by the UART, parallel FIFO or SPI interface pins on the main microcontroller. The communication selection is provided by two jumper pin headers to allow by simple configuration of the I/O on data and control bus pins of the VDIP1. In this case, the communication is managed by the UART port connected to the USART port of the main microcontroller. 2.7. DC Power Supply Devices NCP7805TG [34] and UA78M33CKCS [35] have been installed on the board in order to offer a stable output current with a high rate of input voltage. 2.8. The Failure Management Failure management system includes the aspects and devices that protect the data acquisition against unexpected events. To protect the system, the data-logger will include a device named “Watch-Dog”, specifically the TPS3813 by Texas Instruments [36]. This chip is used to reset the complete system (without deleting any data) in order to restart the configuration into a known working point. This test is performed in time intervals that will be set by the developer according to the sampling frequency and the number of sensors. Furthermore, Time Outs in all the loops to resume the program in case of fails in the communication protocols and data acquisition will be included in the program. The last of these Time Outs can be modified in the main program by software in order to improve the communication depending on the amount of slaves in the system.
Sensors 2015, 15 7251 2.9. Description of the Testing Experiment An experiment of monitoring was performed in order to check the system operation, without the goal of diagnosing if the environment surrounding the selected artwork is suitable for its conservation. Results obtained with the developed system are compared with those of a commercial data-logger that has been used before in monitoring of cultural heritage. Each probe of these autonomous devices consists of one temperature data-logger (model Thermochron DS1922L [19]) and one RH data-logger (model Hygrochron DS1923 [20]). Each data-logger (DS1923) contains a humidity sensor with an accuracy of ±5% and a temperature sensor with an accuracy of ±0.5 °C. RH data-loggers were calibrated with aqueous salt solutions (as done with sensors in Section 2.1) according to the standard ASTM E 104–02 [29]. In 1928, the textile industrialist Eduardo Romero Sanchis placed a facsimile, with detail and identical to the Real Senyera on order of the City Council of Valencia, weaved in silk: four strips of magenta silk on golden silk tissue background, with a blue stripe on the flagpole side, with a golden crown, also in golden tissue [37]. When the worldwide recognized Valencian writer Vicente Blasco Ibañez died in 1928, the flag was moved to France to cover her coffin. Some years after, in 1932, it was moved for the same purpose during his funeral in Valencia after the transfer of his remains. In December 2009, the political party Union Valenciana donated the flag to the Valencian Government under the condition of its restoration and conservation. Currently it is displayed, after its restoration in 2013, in the Blasco Ibáñez Museum-House (Valencia, Spain), inside a sealed slightly inclined display cabinet (317 × 223 × 12 cm) designed for this purpose (Figure 1). Figure 1. Restored flag in the display cabinet, Blasco Ibáñez Museum-House (Valencia). A pair of sets of two DS2450 and HIH-4030 sensor probes were installed (a couple inside the display cabinet and the other at the outside), and probe set with one commercial DS1923 data-logger was installed next to the sensor at the outdoors of the display cabinet as a testing data-logger. For the experiment, sensors were installed indoors and outdoors the display cabinet. Our developed monitoring system is composed of three different modules (Master module, Slave module, and Wireless module that will be described in Section 3). In the outdoors of the display cabinet, the Master and a Slave managing a line of two sensors (one inside and the other outside the display cabinet) were placed. The
Sensors 2015, 15 7252 monitoring experiment started on 17 November 2014 and ended on 27 November 2014. During this period of 11 days, each commercial data-logger recorded one measurement every 10 min (6 data per hour) and each data-logger of the designed system recorded one measurement every minute (60 data per hour). 3. Design of Hardware and Software for the Data Monitoring System The structure of the data-logger is going to be divided into three different modules (Master module, Slave module, and Wireless module). The goal of the Master module is to collect data from all the slave modules installed in the wireless network and manage them in order to save the information inside a USB memory (in this project) or sending the information to other device such as a computer. The Slave module is the responsible for collecting data from the sensors and sending the information to the connected module. The Wireless module is able to send the information received from the connected module to other Wireless module or the opposite. It is designed to connect two modules and form three different kinds of data-loggers. For example if we connect a Master module with a Slave module we will have a common data-logger, but we can create a wireless network system using two Slave modules and a Master module connecting each one with a Wireless module. That way, two different data-loggers can collect data from two different places and save them into the same external memory by wireless, allowing one, for example, to easily monitor different rooms in a museum with a unique monitoring system. 3.1. Design of Hardware for the Data Monitoring System The first subject is the printed circuit board (PCB) design because is the basis of the production. For the development of this Section the main program used for the designs is “Eagle CAD” [38]. When we started there is not supposed to be a limit of size but it is recommendable to minimise it in order to offer a good design. Furthermore, the free version of “Eagle CAD” only allows a certain maximum size of (56 × 36 × 23 cm). During the design, a prototype had been created in order to solve possible troubles during the construction and the working life. The final solution is presented in this Section. 3.1.1. Design of the Power Track Two different supplying systems are included. One +5 V DC current for the alimentation of the ATMega328 and others. This alimentation will be installed on the Master and Slave modules. One +3.3 V DC current for the alimentation of the xBee integrated (Wireless module). The selected devices to supply the power are the NCP7805TG regulator for the +5 V and the UA78M33CKCS for +3.3 V, allowing the data-logger being connected to a wide range of DC transformers. Besides the power filter has been improved from the Arduino design, adding a small ceramic capacitor, using parallel connexion, to the electrolytic filter. Thus, final combined filter has better proprieties in terms of resistance and price. Note that, if the location has a high rate of illumination, it could be considered the option of looking for a position with enough luminal intensity in order to include a photovoltaic source to recharge a
Sensors 2015, 15 7253 data-logger battery. Once the supply system has been designed, the next step is to define the position of each component and connect the tracks with the external connections. This step will be different in all the modules. The PINs used to connect different boards have to cover both sides in order to be able to have a module up and also down. The connection distribution is similar to the Arduino modules, that way it is possible to create new applications just adding new software and the corresponding board. A reset switch is also available in the Master and Slave modules; moreover this signal affects the connected Wireless module too. 3.1.2. Final Boards and Schematics The majority of the power tracks such as GND, +3.3 V and +5 V are designed with 0.8128 mm of width. The rest of tracks, as far as is possible, are about 0.5 mm. In the final design, depending on the module, the connected devices are different. In the Master, the VDIP1 is connected with the ATMega328 using UART port (Figure 2). Besides, to ensure a correct communication between them, two of the ATMega328 PINs are used as “Clear to Send” (CTS) and “Request to Send” (RTS) (Figure 2). Those tracks manage when both are ready to enable a data transmission. Figure 2. Master schematic final design.
Sensors 2015, 15 7254 On the other hand, the DS1307 (External Clock) has been connected to the PINs ADC5 and ADC4 of the ATMEGA328 using “Serial Data Line” (SDA) and “Serial Clock Line” (SCL) in order to enable the I 2 C communication between them. Regarding the Watch-Dog, the “Watchdog timer input” (WDI) has been connected to one of the PINs of the ATMega328 to enable the Failure Management. Finally, an optional port has been installed to manage a “liquid crystal display” (LCD), which could be installed in the prototype to ensure correct data acquisition. Secondly, on the Slave module, the USB peripheral and the external clock have been replaced by the I 2 C to 1-Wire translator (Figures 2 and 3). The external 1-Wire plug is the standard D-sub connector MHDD which offers 9 connexions: 1 to the Ground (GND), 1 to the Sensors Voltage supply (VDD) and 7 channels. The channel number 3 output is reserved and located inside the board in order to offer possible connexions inside the encapsulation like other kind of sensors or protections. Figure 3. Slave Schematic Final Design. The Wireless module has an XBee microcontroller (Figure 4) to enable the wireless communication between two different modules by wireless (able to communicate among them using the IEEE 802.15.4 protocol and communicate with the AtMega328 using the USART port). It can be used to communicate also Master or Slave modules or a commercial Arduino board by I 2 C making it very versatile and useful in a wide range of applications.
Sensors 2015, 15 7261 indicate it. When the transmission has finished and the Master has all the data, it sends an O_CCmd (Figure 6) command to release the Wireless module so it sets PIN_R = 0 again. 3.5 Slave Module to Wireless Module Communication The Slave module algorithm is designed to collect data from all sensors connected while the Master module does not request communication. That way, the state of its sensors is always updated. This method of keeping all data updated is useful for future applications as the Slave module can control in real-time the state of the wired network of sensors. Thus, the slave can start a communication with the Master module through the Wireless to activate, for example, an alarm. When the Wireless module to which it is connected indicates that a data transmission has been requested PIN_R = 1, so an interrupt inside the microcontroller occurs and the Wireless module starts the data transmission using the I2C protocol. The Slave module asks for the requested channel sending an O_SRCh command (Figure 9) to the Wireless slave module, then, it loads into its I2C exit buffer the number of the channel requested by the Master Module and indicates that the message is available to be read. Therefore, the Slave module sends a RFrom command to read the message with the requested channel. Figure 9. Flowchart of wireless orders from Slave module.
Sensors 2015, 15 7262 After this, the Slave module, using the O_SSDt command (Figure 9), sends the sensors stored data and the Wireless stores this data inside the indicated DP. When the Slave module has finished, it sends an O_STDt command with the number of LDP in order to indicate that the Wireless module can start the transmission with the emitter of the request. If the transmission between Wireless modules has been accepted PIN_R = 0, indicating that the transmission has been performed correctly. The communications protocols between one Master and one Slave are shown in Figure 10 in simplified as an example; note that a wireless network could have more Slave modules. Figure 10. Global communication example. 3.5. System Testing The developed software has been monitoring for a period of 11 days, with a monitoring frequency of one datum per minute, obtaining a total of 15,840 datapoints per sensor (60 data/h × 24 h/day × 11 days). Furthermore, commercial data-loggers recorded data every 10 min (for the control of the developed system). The trajectories of the three sensors are shown in Figure 11. Figure 11. Trajectories of sensor inside the display cabinet (red), sensor at the outside of the display cabinet (blue) and control data-logger at the outside of the display cabinet (green). (a) Temperature; (b) RH. The mean daily trajectory of data recorded inside the display cabinet and outside of it, as well as data recorded by the commercial data-loggers have been plotted to assess the results obtained by our monitoring system (Figure 12).
Sensors 2015, 15 7263 Figure 12. Mean daily trajectories of sensor inside the display cabinet (red), sensor at the outside of the display cabinet (blue) and control data-logger at the outside of the display cabinet (green). (a) Temperature; (b) RH. Each RH measured by our system out of the display cabinet differs 1.09% on average from the control data-logger. For the temperature the difference is 0.46%. In absolute terms, this mean difference is 3.72% RH and 0.54 °C for temperature. These values are within the error range of the sensors (±5% RH and ±0.5 °C). 4. Conclusions A device which accomplishes the main requirements for being used in monitoring physical parameters for cultural heritage purposes has been successfully developed. One Master, one Slave and two Wireless prototypes modules have been designed to verify the consistence of the designs. The modules can be connected conveniently to configure a monitoring system that suits the cultural heritage site. In addition, third party hardware is used in order that the system can be very versatile because different modules available on the market can be attached for sending an alarm by SMS, recording data in the cloud, switch on/off an HVAC system, etc. As the system reads a four channel ADC (DS2450), each integrated circuit can connect up to four sensors that transform the measured physical parameter into a change in the electric potential. Libraries have been programmed for a failure protection system using a Watch-Dog and identifying corrupted bytes inside data transmission. Thereby, it is ensured that stored data is correct and the system does not come into infinite loops or crash. Furthermore, an internal clock that controls the frequency of data capture has been programmed. Moreover, due to the time it takes to save every data, the prototypes have been able to save the measures from 80 sensors extracted from the Slave module inside a USB memory in less than 30 s of time and record measures of temperature and humidity from a surface of 2000 m2. The system has a data storage capacity which depends on the USB memory used. For a 2 GB USB memory and 20 sensors recording data every minute the system will be able to save data continuously during 10 years. Even low level memories around 100 Mb ensure the autonomy of the data-logger for more than one year. The whole system has been made using free hardware-software or trial versions so its development has been possible thanks to the open scientific knowledge on the Internet. A practical testing of the system has revealed its suitability and matching results with commercial data-loggers used in cultural heritage.
Sensors 2015, 15 7264 Acknowledgments The authors acknowledge the collaboration of Rosa María Rodríguez y Belén Villanueva, superior and management technicians of Blasco Ibáñez Museum-House respectively. This work was partially supported by the Spanish Government (Ministerio de Economía y Competitividad) under projects HAR2013-47895-C2-1-P and HAR2013-47895-C2-2-P. Author Contributions F.-J.G.D was responsible for the development of the idea. P.M. performed the statistical analysis. B.E. conducted software and hardware developed. Writing of the paper was shared between the three authors. Conflicts of Interest The authors declare no conflict of interest. References 1. Koller, M. Learning from the History of Preventive Conservation. In Preventive Conservation: Practice, Theory and Research; Ashok, R., Smith, P., Eds.; International Institute for Conservation of Historic and Artistic Works: London, UK, 1994. 2. National Gallery of Australia. Preventive Conservation. Available online: http://nga.gov.au/ Conservation/prevention/index.cfm (accessed on 16 September 2014). 3. UNI 10829. Works of Art of Historical Importance. Ambient Conditions for the Conservation. Measurement and Analysis; UNI Ente Nazionale Italiano di Unificazione: Milano, Italy, 1999. 4. Ministero per i Beni e le Attività Culturali. DM 10/2001 Atto. di Indirizzo. sui Criteri. Tecnico.-Scientifici e Sugli. Standard di Funzionamento. e Sviluppo. dei Musei. Gazzetta Ufficiale: Rome, Italy, 19 October 2001, n. 244, DL 112/1998 art. 150.6. 5. García-Diego, F.J.; Merello, P.; D’Antoni, P.; Fernández Navajas, A.; Ribera i Lacomba, A.; Ferrazza, L.; Pérez Miralles, J.; Baro, J.L.; Merce, P.; D’Antoni, H.; et al. Ariadne’s house (Pompeii, Italy) wall paintings: A multidisciplinary study of its present state focused on a future restoration and preventive conservation. Mater. Constr. 2013, 63, 449–467. 6. Valero, M.Á.; Merello, P.; Navajas, Á.F.; García-Diego, F.-J. Statistical Tools Applied in the Characterisation and Evaluation of a Thermo-Hygrometric Corrective Action Carried out at the Noheda Archaeological Site (Noheda, Spain). Sensors 2014, 14, 1665–1679. 7. García-Diego, F.-J.; Fernández-Navajas, Á.; Beltrán, P.; Merello, P. Study of the Effect of the Strategy of Heating on the Mudejar Church of Santa Maria in Ateca (Spain) for Preventive Conservation of the Altarpiece Surroundings. Sensors 2013, 13, 11407–11423. 8. Fernández-Navajas, Á.; Merello, P.; Beltrán, P.; García-Diego, F.-J. Software for Storage and Management of Microclimatic Data for Preventive Conservation of Cultural Heritage. Sensors 2013, 13, 2700–2718. 9. Caragliu, A.; Del Bo, C.; Nijkamp, P. Smart cities in Europe. J. Urban Technol. 2011, 18, 65–82.
Sensors 2015, 15 7265 10. Su, K.; Li, J.; Fu, H. Smart city and the applications. In Proceedings of the International Conference on Electronics, Communications and Control (ICECC ’2011), Zhejiang, China, 9–11 September 2011; pp. 1028–1033. 11. Merello, P.; Fernandez-Navajas, A.; Curiel-Esparza, J.; Zarzo, M.; Garcia-Diego, F.-J. Characterisation of thermo-hygrometric conditions of an archaeological site affected by unlike boundary weather conditions. Build. Environ. 2014, 76, 125–133. 12. Lillie, M.; Smith, R.; Reed, J.; Inglis, R. Southwest scottish crannogs: Using in situ studies to assess preservation in wetland archaeological contexts. J. Archaeol. Sci. 2008, 35, 1886–1900. 13. Camuffo, D.; Bernardi, A.; Sturaro, G.; Valentino, A. The microclimate inside the pollaiolo and botticelli rooms in the Uffizi Gallery, Florence. J. Cult. Herit. 2002, 3, 155–161. 14. Al-Omari, A.; Brunetaud, X.; Beck, K.; Al-Mukhtar, M. Effect of thermal stress, condensation and freezing–thawing action on the degradation of stones on the Castle of Chambord, France. Environ. Earth Sci. 2014, 71, 3977–3989. 15. Brunetaud, X.; de Luca, L.; Janvier-Badosa, S.; Beck, K.; Al-Mukhtar, M. Application of digital techniques in monument preservation. Eur. J. Environ. Civ. Eng. 2012, 16, 543–556. 16. Visco, G.; Plattner, S.H.; Fortini, P.; Di Giovanni, S.; Sammartino, M.P. Microclimate monitoring in the Carcer Tullianum: Temporal and spatial correlation and gradients evidenced by multivariate analysis; first campaign. Chem. Cent. J. 2012, 6 (Suppl. 2), S11, doi:10.1186/1752-153X-6-S2-S11. 17. Onset USA. Hobo Data Loggers. Available online: http://www.onsetcomp.com/ (accessed on 20 October 2014). 18. Merello, P.; García-Diego, F.-J.; Zarzo, M. Diagnosis of abnormal patterns in multivariate microclimate monitoring: A case study of an open-air archaeological site in Pompeii (Italy). Sci. Total Environ. 2014, 488–489, 14–25. 19. Temperature Logger iButton with 8KB Data-Log Memory. Available online: http://datasheets. maxim-ic.com/en/ds/DS1922L-DS1922T.pdf (accessed on 25 November 2014). 20. Hygrochron Temperature/Humidity Logger iButton with 8KB Data-Log Memory. Available online: http://datasheets.maxim-ic.com/en/ds/DS1923.pdf (accessed on 25 November 2014). 21. García-Diego, F.J.; Zarzo, M. Microclimate monitoring by multivariate statistical control: The renaissance frescoes of the Cathedral of Valencia (Spain). J. Cult. Herit. 2010, 11, 339–344. 22. SDI-12 Support Group. SDI-12 Org. Available online: http://www.sdi-12.org/ (accessed on 16 September 2014). 23. Jiang, P.; Xia, H.; He, Z.; Wang, Z. Design of a water environment monitoring system based on wireless sensor networks. Sensors 2009, 9, 6411–6434. 24. Leccese, F.; Cagnetti, M.; Calogero, A.; Trinca, D.; Di Pasquale, S.; Giarnetti, S.; Cozzella, L. A New Acquisition and Imaging System for Environmental Measurements: An Experience on the Italian Cultural Heritage. Sensors 2014, 14, 9290–312. 25. Mecocci, A.; Abrardo, A. Monitoring Architectural Heritage by Wireless Sensors Networks: San Gimignano: A Case Study. Sensors 2014, 14, 770–778. 26. Maxim Integrated. Programmable Resolution 1-Wire Digital Thermometer. Available online: http://www.maximintegrated.com/en/products/analog/sensors-and-sensor-interface/DS18B20.html (accessed on 16 September 2014).
Sensors 2015, 15 7266 27. Maxim Integrated. 1-Wire Quad A/D Converter DS2450. Available online: http://www. maximintegrated.com/en/products/comms/one-wire/DS2450.html (accessed on 16 September 2014). 28. Honeywell. HIH 4030. Available online: http://sensing.honeywell.com/honeywell-sensinghih4030-4031%20series-product-sheet-009021-4-en.pdf?name=HIH-4030-001 (accessed on 16 September 2014). 29. ASTME 104–02. Standard Practice for Maintaining Constant Relative Humidity by Means of Aqueous Solutions; ASTM Intl.: West Conshohocken, PA, USA, 2012. 30. Libelium Connecting. Sensors Development to the Cloud RSS. Available online: http://www.libelium.com/development/waspmote/documentation/802-15-4-networking-guide/ (accessed on 16 September 2014). 31. Maxim Integrated. DS2482-800. Available online: http://www.maximintegrated.com/en/products/ interface/controllers-expanders/DS2482-800.html (accessed on 16 September 2014). 32. Maxim Integrated. DS1307. 64 × 8, Serial, I2C Real-Time Clock. Available online: http://www.maximintegrated.com/en/products/digital/real-time-clocks/DS1307.html (accessed on 16 September 2014). 33. FTDI. Development Modules. Available online: http://www.ftdichip.com/Products/Modules/ DevelopmentModules.htm (accessed on 16 September 2014). 34. Mouser Electronics. NCP7805TG ON Semiconductor | Mouser. Available online: http://www.mouser.es/ProductDetail/ON-Semiconductor/NCP7805TG/?qs= lYuAOLy5nvboAruYeXBD4A== (accessed on 16 September 2014). 35. Mouser Electronics. UA78M33CKCS Texas Instruments | Mouser. Available online: http://www.mouser.es/ProductDetail/Texas-Instruments/UA78M33CKCS/?qs=0O/ ZFlpUpJW16wrDG1C6LA== (accessed on 16 September 2014). 36. Texas Instruments. TPS3813J25 (ACTIVE). Available online: http://www.ti.com/product/ tps3813j25 (accessed on 16 September 2014). 37. Instituto Valenciano de Conservacion y Restauracion de Bienes Culturales. Real Senyera: Investigación, conservación y restauración del patrimonio textil de la Comunitat Valenciana. Available online: http://www.ivcr.es/media/descargas/monografia-valencia-generalitat-senyera-w.pdf (accessed on 22 December 2014). 38. CADSOFT. The Best PCB Design Software. Available online: http://www.cadsoftusa.com/ (accessed on 16 September 2014). 39. ATMEL. Available online: http://www.atmel.com/images/avr_3_04.pdf (accessed on 16 September 2014). 40. Arduino. Language Reference. Available online: http://arduino.cc/en/pmwiki.php?n=Reference/ HomePage (accessed on 16 September 2014). 41. Maxim Integrated. Application Notes. Available online: http://www.maximintegrated.com/en/ app-notes/index.mvp/id (accessed on 16 September 2014). © 2015 by the authors; licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution license (http://creativecommons.org/licenses/by/4.0/).