Interface Design on Smart Home Heating Control Panel

Question: Discuss about the Interface Design on Smart Home Heating Control Panel. Answer: Design Overview The system design incorporates a control panel that facilitates the users to maintain their room temperature by implementing a sensor for sensing the present room temperature and regulating the flow of liquid (hot water), which in turn transfers the heat. In addition to that, there will be options such as hot air, steam, electric and hot water, from which the user can select the method of heating (Kumar, 2014). The user interface design includes a zone heating mechanism that helps setting default temperatures for individual zones or sections of the house. The system can be controlled remotely and is of a comparatively small size. The user interface includes an LCD (liquid crystal display) screen that demonstrates information for the application such as current temperature captured by the heat sensor, present status of the battery, time and operating mode. Project Scope The project scope involves a brief description of the overall project and a detailed outline of the major objectives undertaken for the project. The heating system design will facilitate a cost effective approach to heat the rooms in cold areas (Gungor et al., 2013). It fundamentally aims to attract the consumers having comparative lower income and living in hilly and cool areas. Project Description The report focuses on designing a SMART home heating control panel that is utilized for maintaining the room temperature in relatively cold areas. For this purpose, the project involves a detailed approach identifying the basic requirements for the proposed system and thereby builds the control panel using suitable hardware, software and adequate power supply. Therefore, the business goal for this particular project is to facilitate an efficient and cost-effective means to maintain the room temperature for the middle-income consumers living in cooler areas (Hu Li, 2013). The study involves developing the user interface and control panel for the SMART home heating thermostat. The proposed system can be controlled remotely and allows the users to select a number of options to choose from, each facilitating different methods for heating up their rooms. Project Objectives The primary objectives of project mentioned below: To design a cost-effective SMART home heating control panel that automatically maintains the room temperature To include multiple heating functions such as heating through hot air, hot water, steam and electricity To implement a zone heating system that helps setting up specific temperatures for individual sections or zones in the house To involve an LCD display that shows the relevant information such as present battery status, time, present room temperature and operating mode details To incorporate a heating sensor that senses the temperature of the room and accordingly regulates the control by circulating the flow of hot fluid to transfer the heat To enable a remote operating approach for the thermostat control panel Business and User Requirements Business Requirements The business requirements for the project are outlined below: The system should incorporate easily comprehendible features and functionalities so that it is able to ensure customer satisfaction The user interface should be designed in a way so as to incorporate all the important utilities for meeting the expectations of the customers, which in turn helps in increasing the customer base The design of the thermostat incorporates a high accuracy temperature sensor with an LCD panel having wireless and wired remote controlled user interface. User Requirements The user requirements for the proposed system are demonstrated as follows: The look and feel of the user interface should be in such a way that navigation becomes easy and follows a clear manner. The interface should be able to display all the important and relevant information about the heating process and associated details The design of the control panel should be such that it does not consume a very large space on the wall and should be able to automatically sense and control the room temperature for all the individual sections or zones of the house The user interface should be capable of facilitating an efficient means to preset the temperatures of individual rooms or zones The interface should allow users to select options for heating such as hot air, hot water, steam or electric The user should be able to operate the system remotely The control panel should be easy to operate and involve a simple, clear and concise design layout of the user interface Key Assumptions The key assumptions made for the project development are given underneath: For the hardware and software requirements, appropriate authorization and license is required The design and development of SMART home heating control panel involves IBM PC that gives efficient methods for designing the user interface model and code the required functionalities The SMART home heating panel is implemented with a microcontroller microprocessor, the thermostat design includes heat high accuracy temperature sensor and a 3.4 inches LCD segment, real time clock (RTC), temperature measurement and display, timer and battery status There are suitable platforms available for coding with adequate memory (RAM) storage facilities The UI design should only allow controlling the thermostat operation designed by a specific manufacturer and therefore, should not allow compatibility with systems developed by different manufacturers. The system is mainly targeted towards providing a cost effective method to the consumers having relatively lower income and staying in cold climate regions The proposed system should only provide options for heating the room and not support any type of cooling processes There would be adequate as well as uninterrupted power supply to the household so as to support the system The performance and efficiency of the designed thermostat is typically measured by factors such as ease of use, level of easiness in navigation options, interactive functionalities as well as the range of available operations facilitating the users to easily and readily heat their rooms The UI (user interface) should be an intelligent touch screen, which can be operated easily and smoothly The system is designed keeping in mind mainly the consumers of middle income families and living in cold climate regions The users will only operate the system after adequately going through the user training manual so as to properly understand each of the functions and way of working The system is expected to provide profitability and reliability Use Cases The use cases are as follows: Use Case 1: User accesses UI through Dashboard Description The UI dashboard contains the home section through which the functions are accessed Example The user can navigate to various options and settings from the home page Actors The user Stakeholders Manufacturers, consumers of the SMART home heating thermostat Pre-conditions The UI is usable Post-conditions The user navigates to other sections from the dashboard Triggers The user operates the UI Flow of events The control panel is opened The user switches on the UI to start the heating process Business rules The navigations are only possible through dashboard Use Case 2: User controls room temperature Description The user controls the room temperature using the thermostat Example The user uses the UI to control the temperature of a specific room or zone Actors The user Stakeholders Manufacturers, consumers of the SMART home heating thermostat Pre-conditions The UI is usable The thermostat is already installed The user is able to operate the system Post-conditions The room temperature is changed and maintained Triggers The user needs to adjust the room temperature to increase heat Flow of events The control panel is opened The user switches on the UI to start the heating process The user adjusts the temperature settings, modifies the temperature Business rules Temperature settings are saved, the user can use quick control facility or utilize the zone heating system Use Case 3: User sets up and uses Zone Heating Description The temperature zones are utilized Example The user navigates from home screen to the available profiles for zone heating facility Actors The user Stakeholders Consumers of the SMART home heating thermostat Pre-conditions The thermostat is installed The user is capable of operating the UI Post-conditions The user can create temperature zones and enable zone heating through the profiles Triggers The consumer can understand the ease of use of the temperature zone profiles Flow of events The control panel is opened The user switches on the UI to start the heating process The user navigates to create zone profiles from Set Temperature Zone option The user uses the profiles for zone heating after creating them Business rules The user can only navigate to the temperature zones from the dashboard/ home screen Design Process The detailed process followed for the purpose of designing the present thermostat system is described as follows: User-centered design: The UI design approach typically involves focusing on the needs of a user during the design process. The design process typically involved the following stages: Analyze and understand user activities: At the first stage, the user activities are specifically analyzed and understood. Produce paper-based design prototypes: The next step is outlining the basic layout of the design proposed for the user interface (Kuzlu, Pipattanasomporn Rahman, 2012). The paper based design is made based on the identified and gathered design requirements important to the targeted users. Design prototype: The system prototype is designed based on the previously chalked out paper based design prototype, keeping in adequate consideration of the required design requirements. Evaluate design with end users: After the design prototype is developed, it is crossed checked and verified with a group of testers or users. Interactive functionalities: During the design process, several factors are addressed that are mentioned as follows: The user interface incorporated icons, menus and clear and concise graphics that appropriately serve the intended purpose (Rogers, Ramchurn Jennings, 2012). The design process took care of the following factors for the UI of SMART home heating control panel: User familiarity: The user interface incorporates user oriented terminologies and words so that it ensures sufficient user friendliness. Recoverability: The system is designed keeping in mind that it should be easily recoverable from specific user errors (Weiss et al., 2012). For example, the user interface should incorporate undo and cancel options. User guidance: The system includes components that provides adequate user guidance, such as help options, online manuals to correctly operate the system Consistency: The system involves appropriate amount of consistency in terms of menus and commands for navigations, available options and formats for representation. Execute prototype: After the prototype is designed, it is executed so as to implement the final user interface (UI) of the SMART home thermostat heating control panel UI (user interface) (Li et al., 2012). Interface Design Home Screen: The Home screen displays the present temperature, battery status, and the current time. Figure 1: Home Screen Zone Heating Profiles: Individual profiles can be configured for setting temperatures for separate sections. Figure 2: Zone Profiles Selecting Profiles: A random profile is selected for heating a specific zone. Figure 3: Selection of a Profile Time settings and temperature settings: Time and temperature configuration option Figure 4: Time settings and temperature settings Saving Time settings and temperature settings: The configurations are saved. Figure 5: Saving Time settings and temperature settings Different heating methods: Icons for the available options (hot air, hot water, steam and electricity) for selecting the method to heat rooms Figure 6: Different heating methods Choosing a specific option: Selecting a specific one among the available options (hot air, hot water, steam and electricity) for selecting the method to heat rooms Figure 7: Selecting a heating option Quick control: Automatically turns on sensor for maintaining the room temperate Figure 8: Quick control Enabling quick control: Switch on the quick control mode. Figure 9: Enabling quick control Usability Testing and Evaluation In this section, the designed system is evaluated so as to test its effectiveness and efficiency against performing the required operations (Ramchurn et al., 2012). A set of evaluation aim and methodology is set for testing the overall system against the user requirements and business objectives: Evaluation aims The primary aims for carrying out the system evaluation are demonstrated as follows: To measure the level of ease of use and functional accuracy of the individual operations facilitated by the user interface To identify and examine the impacts of using the finally designed user interface by the end users To measure and analyze the advantages that the system provides to the targeted customers To understand the level of consistency, user familiarity and recoverability of the designed user interface Success criteria The criteria set for successfully accomplishing the project are demonstrated below: The consumption of electricity is potentially reduced, which in turn ensures a cost-saving approach to room heating The individual heating options (e.g. hot water, hot air, steam or electricity) are clearly identified and can be easily used and switched as and when needed without any difficulties The zone heating system essentially allows the users to easily heat the individual zones or sections of the house The overall user interface design ensures sufficient user friendliness and easy to operate solution The system meets the predefined objectives of the user interface design for the thermostat The design process is completed within the predefined time frame as well as within the estimated budget for the manufacturers of the SMART home heating control panel UI The interface should have all the functionalities and there should be no scope creep The end product is released after the test is carried out and tested for fixing the different issues identified during the test Evaluation methodology For carrying out the evaluation, the researcher team utilizes a specific set of rules and techniques for prototyping and interaction. Prototype mobile UI (user interface) was made available to be used by a group of test users who gather knowledge from the feedbacks and opinions from the users. The user experience is analyzed according to the received feedbacks (Makonin, Bartram Popowich, 2013). In this process, the evaluation identifies the existing issues and problems in the UI design. Based on the results and outcomes of the evaluation process, necessary changes are brought into the proposed interface design. This process typically included a questionnaire survey that asked relevant questions to the users about the presently designed UI (Yang Newman, 2013). The entire process may be carried out more than once in order to accurately identify the errors and major areas for change. Test audience selection and ethical considerations It has as of now been specified that the home heating thermostat control panel manufacturers are focusing on the electronic market of cool climate regions for releasing the user interface. In this way, clients who have as of now introduced the thermostat UI in their homes were drawn closer to take an interest in the assessment procedure. The test group were chosen from gatherings of individuals who were willing to take an interest in the said evaluation program (Tsui Chan, 2012). Other than this, it is worth mentionable that the task group did not furnish them with advantage in real money or kind. It is obviously that the characters of the members, alongside their reactions have been thought to be touchy bits of data and hence have kept up in a secured way. Evaluation experiments The evaluation experiments methods are described as follows: Using the thermostat user interface (UI) potentially increases the energy efficiency of the overall system. The experiments conducted against the amount of energy consumption thereby utilized. The response time for each individual function and operation were evaluated multiple numbers of times The test group evaluated the system by navigating through the different sections, icons and menus of the interface Analysis methodology and procedures The methods and procedures adopted for analyzing and evaluating the interface: A thorough identification process for the individual requirements of the target consumers A detailed identification process followed for the corresponding effective technological solutions for the identified requirements (both business and user) A detailed feasibility analysis and study of the project design process References Ali, M., Jokisalo, J., Siren, K., Lehtonen, M. (2014). Combining the demand response of direct electric space heating and partial thermal storage using LP optimization.Electric Power Systems Research,106, 160-167. Asare-Bediako, B., Kling, W. L., Ribeiro, P. F. (2012, September). Home energy management systems: Evolution, trends and frameworks. InUniversities Power Engineering Conference (UPEC), 2012 47th International(pp. 1-5). IEEE. Asare-Bediako, B., Kling, W. L., Ribeiro, P. F. (2013, October). Integrated agent-based home energy management system for smart grids applications. InInnovative Smart Grid Technologies Europe (ISGT EUROPE), 2013 4th IEEE/PES(pp. 1-5). IEEE. Asare-Bediako, B., Kling, W. L., Ribeiro, P. F. (2013, October). Multi-agent system architecture for smart home energy management and optimization. InInnovative Smart Grid Technologies Europe (ISGT EUROPE), 2013 4th IEEE/PES(pp. 1-5). IEEE. Asare-Bediako, B., Ribeiro, P. F., Kling, W. L. (2012, October). Integrated energy optimization with smart home energy management systems. InInnovative Smart Grid Technologies (ISGT Europe), 2012 3rd IEEE PES International Conference and Exhibition on(pp. 1-8). IEEE. Baig, F., Mahmood, A., Javaid, N., Razzaq, S., Khan, N., Saleem, Z. (2013). Smart home energy management system for monitoring and scheduling of home appliances using zigbee.Journal of Basic and Applied Scientific Research,3(5), 880-891. Bangali, J., Shaligram, A. (2013). Energy efficient smart home based on wireless sensor network using labview.American Journal of Engineering Research (AJER),2(12), 409-413. Baraka, K., Ghobril, M., Malek, S., Kanj, R., Kayssi, A. (2013, June). Low cost arduino/android-based energy-efficient home automation system with smart task scheduling. InComputational Intelligence, Communication Systems and Networks (CICSyN), 2013 Fifth International Conference on(pp. 296-301). IEEE. Byun, J., Hong, I., Park, S. (2012). Intelligent cloud home energy management system using household appliance priority based scheduling based on prediction of renewable energy capability.Consumer Electronics, IEEE Transactions on,58(4), 1194-1201. Castello, C. C., Chen, R. X., Fan, J., Davari, A. (2013). Context aware wireless sensor networks for smart home monitoring.International Journal of Autonomous and Adaptive Communications Systems 10,6(2), 99-114. Collotta, M., Scat, G., Pau, G. (2013). A priority-based CSMA/CA mechanism to support deadline-aware scheduling in home automation applications using IEEE 802.15. 4.International Journal of Distributed Sensor Networks,2013. Costanza, E., Fischer, J. E., Colley, J. A., Rodden, T., Ramchurn, S. D., Jennings, N. R. (2014, April). Doing the laundry with agents: a field trial of a future smart energy system in the home. InProceedings of the SIGCHI Conference on Human Factors in Computing Systems(pp. 813-822). ACM. Dawadi, P. N., Cook, D. J., Schmitter-Edgecombe, M. (2013). Automated cognitive health assessment using smart home monitoring of complex tasks.Systems, Man, and Cybernetics: Systems, IEEE Transactions on,43(6), 1302-1313. Di Giorgio, A., Pimpinella, L. (2012). An event driven smart home controller enabling consumer economic saving and automated demand side management.Applied Energy,96, 92-103. Fan, Z. (2012). A distributed demand response algorithm and its application to PHEV charging in smart grids.Smart Grid, IEEE Transactions on,3(3), 1280-1290. Fensel, A., Tomic, S., Kumar, V., Stefanovic, M., Aleshin, S. V., Novikov, D. O. (2013). Sesame-s: Semantic smart home system for energy efficiency.Informatik-Spektrum,36(1), 46-57. Fernandes, F., Morais, H., Vale, Z., Ramos, C. (2014). Dynamic load management in a smart home to participate in demand response events.Energy and Buildings,82, 592-606. Folea, S., Bordencea, D., Hotea, C., Valean, H. (2012, May). Smart home automation system using Wi-Fi low power devices. InAutomation Quality and Testing Robotics (AQTR), 2012 IEEE International Conference on(pp. 569-574). IEEE. Gungor, V. C., Sahin, D., Kocak, T., Ergut, S., Buccella, C., Cecati, C., Hancke, G. P. (2013). A survey on smart grid potential applications and communication requirements.Industrial Informatics, IEEE Transactions on,9(1), 28-42. Hamed, B. (2012). Design implementation of smart house control using LabVIEW.International Journal of Soft Computing and Engineering,1(6), 98-106. Hu, Q., Li, F. (2013). Hardware design of smart home energy management system with dynamic price response.Smart Grid, IEEE Transactions on,4(4), 1878-1887. Kim, J. E., Boulos, G., Yackovich, J., Barth, T., Beckel, C., Mosse, D. (2012, June). Seamless integration of heterogeneous devices and access control in smart homes. InIntelligent Environments (IE), 2012 8th International Conference on(pp. 206-213). IEEE. Kofler, M. J., Reinisch, C., Kastner, W. (2012). A semantic representation of energy-related information in future smart homes.Energy and Buildings,47, 169-179. Kumar, S. (2014). Ubiquitous smart home system using android application.arXiv preprint arXiv:1402.2114. Kuzlu, M., Pipattanasomporn, M., Rahman, S. (2012). Hardware demonstration of a home energy management system for demand response applications.Smart Grid, IEEE Transactions on,3(4), 1704-1711. Kuzlu, M., Pipattanasomporn, M., Rahman, S. (2014). Communication network requirements for major smart grid applications in HAN, NAN and WAN.Computer Networks,67, 74-88. Li, W., Lee, Y. H., Tsai, W. T., Xu, J., Son, Y. S., Park, J. H., Moon, K. D. (2012). Service-oriented smart home applications: composition, code generation, deployment, and execution.Service Oriented Computing and Applications,6(1), 65-79. Li, Y. (2013, June). Design of a key establishment protocol for smart home energy management system. InComputational Intelligence, Communication Systems and Networks (CICSyN), 2013 Fifth International Conference on(pp. 88-93). IEEE. Makonin, S., Bartram, L., Popowich, F. (2013). A smarter smart home: case studies of ambient intelligence.IEEE pervasive computing, (1), 58-66. Pipattanasomporn, M., Kuzlu, M., Rahman, S. (2012). An algorithm for intelligent home energy management and demand response analysis.Smart Grid, IEEE Transactions on,3(4), 2166-2173. McKenna, E., Richardson, I., Thomson, M. (2012). Smart meter data: Balancing consumer privacy concerns with legitimate applications.Energy Policy,41, 807-814. Missaoui, R., Joumaa, H., Ploix, S., Bacha, S. (2014). Managing energy smart homes according to energy prices: analysis of a building energy management system.Energy and Buildings,71, 155-167. Mowad, M. A. E. L., Fathy, A., Hafez, A. (2014). Smart home automated control system using android application and microcontroller.International Journal of Scientific Engineering Research,5(5), 935-939. Pipattanasomporn, M., Kuzlu, M., Rahman, S. (2012). An algorithm for intelligent home energy management and demand response analysis.Smart Grid, IEEE Transactions on,3(4), 2166-2173. Piyare, R. (2013). Internet of things: Ubiquitous home control and monitoring system using Android based smart phone.International Journal of Internet of Things,2(1), 5-11. Portet, F., Vacher, M., Golanski, C., Roux, C., Meillon, B. (2013). Design and evaluation of a smart home voice interface for the elderly: acceptability and objection aspects.Personal and Ubiquitous Computing,17(1), 127-144. Ramchurn, S. D., Vytelingum, P., Rogers, A., Jennings, N. R. (2012). Putting the'smarts' into the smart grid: a grand challenge for artificial intelligence.Communications of the ACM,55(4), 86-97. Rodden, T. A., Fischer, J. E., Pantidi, N., Bachour, K., Moran, S. (2013, April). At home with agents: exploring attitudes towards future smart energy infrastructures. InProceedings of the SIGCHI Conference on Human Factors in Computing Systems(pp. 1173-1182). ACM. Rogers, A., Ramchurn, S., Jennings, N. R. (2012). Delivering the smart grid: Challenges for autonomous agents and multi-agent systems research. Saha, B., Kim, R. Y. (2014). High power density series resonant inverter using an auxiliary switched capacitor cell for induction heating applications.Power Electronics, IEEE Transactions on,29(4), 1909-1918. Schneps-Schneppe, M., Namiot, D., Maximenko, A., Malov, D. (2012, October). Wired Smart Home: energy metering, security, and emergency issues. InUltra Modern Telecommunications and Control Systems and Workshops (ICUMT), 2012 4th International Congress on(pp. 405-410). IEEE. Soliman, M., Abiodun, T., Hamouda, T., Zhou, J., Lung, C. H. (2013, December). Smart home: Integrating internet of things with web services and cloud computing. InCloud Computing Technology and Science (CloudCom), 2013 IEEE 5th International Conference on(Vol. 2, pp. 317-320). IEEE. Tariq, M., Zhou, Z., Wu, J., Macuha, M., Sato, T. (2012, October). Smart grid standards for home and building automation. InPower System Technology (POWERCON), 2012 IEEE International Conference on(pp. 1-6). IEEE. Tomic, S., Fensel, A., Schwanzer, M., Veljovic, M. K., Stefanovic, M. (2012). Semantics for energy efficiency in smart home environments.Applied Semantic Web Technologies, 429-454. Tsui, K. M., Chan, S. C. (2012). Demand response optimization for smart home scheduling under real-time pricing.Smart Grid, IEEE Transactions on,3(4), 1812-1821. Vzquez, F. I., Kastner, W. (2012). Thermal comfort support application for smart home control. InAmbient Intelligence-Software and Applications(pp. 109-118). Springer Berlin Heidelberg. Wang, Z., Paranjape, R., Sadanand, A., Chen, Z. (2013, May). Residential demand response: An overview of recent simulation and modeling applications. InElectrical and Computer Engineering (CCECE), 2013 26th Annual IEEE Canadian Conference on(pp. 1-6). IEEE. Weiss, M., Helfenstein, A., Mattern, F., Staake, T. (2012, March). Leveraging smart meter data to recognize home appliances. InPervasive Computing and Communications (PerCom), 2012 IEEE International Conference on(pp. 190-197). IEEE. Yang, R., Newman, M. W. (2012, September). Living with an intelligent thermostat: advanced control for heating and cooling systems. InProceedings of the 2012 ACM Conference on Ubiquitous Computing(pp. 1102-1107). ACM. Yang, R., Newman, M. W. (2013, September). Learning from a learning thermostat: lessons for intelligent systems for the home. InProceedings of the 2013 ACM international joint conference on Pervasive and ubiquitous computing(pp. 93-102). ACM. Zong, Y., Kullmann, D., Thavlov, A., Gehrke, O., Bindner, H. W. (2012). Application of model predictive control for active load management in a distributed power system with high wind penetration.Smart Grid, IEEE Transactions on,3(2), 1055-1062.