A Smart Approach on Collecting Working Condition Data from Home Appliances under the Field Test
This study presents management of the data that are taken from the home appliances which are in the field test process. Field test process means collecting the data from the device by sensors, the measurement from environment, then evaluation of this information. This information depends on climate, altitude, user profile etc. Major application area of this study is home appliances sets and their domestic field test process. Also, this smart approach can be applied to any system including any electrical equipment in smart grid. Only 2 different requirements should be covered. (i) Device Under Test (DUT) should work with the specialized test box to send working condition data and environmental measurements. (ii) GSM network should be alive in field test location. This study shows a new smart approach which relies on sending the field test data and environmental conditions over the GSM. The selection reason of GSM communication protocol in this study is the coverage percentage of this protocol is wider than others.
From the devices. Most of them use Wi-Fi connection [2-5]. This means, the test point should have internet connection at all. This is an obligation. Also, in the literature can be find another related some studies including energy consumption models for household consumers  and smart metering based energy tariff schemes . Our study is related to management of the data that are taken from the home appliances under the field test process. With this system, the working conditions of white goods such as water temperature, door open/close count, motor RPM, power parameters of the system etc., and environmental conditions including vibration level of tested device, ambient temperature, external surface temperature of the product, humidity etc. can be sent via GSM network to the cloud server instantly. The measured parameters can be monitored for analyzing at any time.
The method used in this study to collect the data from the devices does not need to internet connection. Instead of this, we have an internal GSM module in the developed test-box. Because the GSM map covers more point then internet map of Turkey. Generally, the block diagram of the developed test-box is shown in Fig.5. The system mainly consists of digital/analog input/output, isolated AC inputs, temperature module (both of external and internal), energy measurement module (current, voltage, power factor etc.), GSM module (to realize the data communication) and a UART module.
This study shows a smart approach for field test process including easy to remote control and tracking for the devices, energy monitoring at high safety level. By this approach, it is possible to solve remotely the bugs which occurred depending on the environmental conditions and usage profiles. During field test process, if a critical condition occurs (for instance, the temperature of device surface is increasing) the device electricity can be cut off. This means, some alarm condition definitions related to safety issues can be set separately. As a future work, when a critical issue is occurred at any device, this device can inform the other ones. Hence, it can be easy to understand this issue is sample dependent or it is a failure of that product series. Additionally, this approach can be implemented in distributed factories to follow energy consumptions. Also, this is useful for tracking and monitoring the energy consumptions in a region.
 Joiner Plus, A. Ozkemal, Elektronet.
 LG Electronics, “Electronic Appliances, Diagnostic System for Electronic Appliances and Diagnostic Method for Electronic Appliances”, Patent No: EP2677687
 LG Electronics, “Information Management System for Home Appliance”, Patent No: US9137297
 AT&T, “Method and Apparatus for Retrieving Information from Appliances, Patent No: US8023627
 MYINE Electronics Inc., “System and Method for Using Personal Electronic Device to Wirelessly Link Remote Diagnostic Site to a Home Appliance for Troubleshooting, Patent No: CN104603705
 C. Block, J. Collins, S. Gottwalt, W. Ketter, C. Weinhardt, 2010, “Modeling household energy consumption under fixed and variable”, Workshop on Information Systems and Technology, St. Louis, USA
 G. Deconinck, B. Decroix, 2009, “Smart Metering Tariff Schemes Combined with Distributed Energy Resources”, 4th International Conference on Critical Infrastructures.