Zone Management Apparatus Energy Efficiency Assignment
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Solution Overview
Problem
Current zone assignment systems in large-scale facilities like hotels and hospitals do not consider energy efficiency, leading to inefficient energy consumption and increased operational costs, despite the importance of energy saving in reducing carbon dioxide emissions and expenses.
Innovation Solution
A zone management apparatus and method that collects environment information from each zone to determine energy efficiency levels, allowing for prioritization of zone assignments based on energy efficiency, using sensors to monitor energy consumption and calculate energy efficiency per zone, and a zone managing device that filters and assigns zones accordingly.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of energy
If zones are assigned to users in large-scale facilities using traditional methods, then zone assignment can be completed, but energy efficiency is not considered leading to high energy consumption
Solution Approach 1:
The system pre-calculates and stores energy efficiency values for each zone before assignment occurs. The zone managing device collects environment information from sensors in advance, determines energy efficiency levels, and stores this data in a database, so that when zone assignment is needed, the energy-efficient zones are already identified and ready for selection.
Solution Approach 2:
The system continuously collects environment information from sensors in each zone, determines energy efficiency levels based on this feedback, and uses this information to dynamically adjust zone assignments. The zone managing device monitors energy consumption patterns and refines assignment decisions over time based on actual performance data.
2Productivity
If manual zone assignment is performed considering multiple conditions, then assignment accuracy improves, but time consumption increases significantly
Solution Approach 1:
The zone managing device automatically performs zone assignment by collecting environment information, determining energy efficiency levels, and selecting appropriate zones based on user characteristics and energy efficiency criteria. The system serves itself by making intelligent assignment decisions without requiring manual intervention, thereby improving assignment speed while maintaining accuracy through automated energy efficiency evaluation.
Solution Approach 2:
The system changes the assignment criteria from simple availability to a multi-parameter evaluation including energy efficiency levels, user characteristics, and environment information. By introducing energy efficiency as a key parameter and using automated calculation, the system achieves both high-speed processing and accurate, energy-optimal assignments.
3Loss of energy
If traditional zone assignment systems are used, then operational simplicity is maintained, but energy efficiency and cost reduction are not achieved
Solution Approach 1:
The system segments the facility into multiple zones with individual energy efficiency evaluations. Each zone is independently monitored by sensors and assessed for energy efficiency based on its specific environment information. This segmentation allows the system to identify and assign users to the most energy-efficient zones, reducing overall cooling and heating energy consumption while maintaining manageable operational complexity through automated zone-level management.
Data Source
AI summary
The present disclosure relates to a sensor network, machine type communication (MTC), machine-to-machine (M2M) communication, and technology for Internet of things (IoT). The present disclosure may be applied to intelligent services based on the above technologies, such as smart home, smart building, smart city, smart car, connected car, health care, digital education, smart retail, security and safety services. An apparatus for zone management is provided. The apparatus includes a processor configured to collect environment information of each zone of a plurality of zones, and determine an energy efficiency level of each zone of the plurality of zones based on the environment information.