Modular Rack Sensor Assembly for Smart Cooling Feedback
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Solution Overview
Problem
Conventional data center cooling systems operate at maximum capacity continuously, leading to excessive energy consumption as they do not adjust cooling output based on actual heat loads, resulting in higher operating expenses.
Innovation Solution
A modular network sensor assembly that can be easily installed on equipment racks to monitor environmental conditions, including temperature, humidity, and air velocity, allowing for dynamic adjustment of cooling resources based on real-time data collection and communication through a common bus and memory device.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If conventional air conditioning units operate continuously at maximum capacity, then cooling reliability is ensured, but energy consumption increases significantly
Solution Approach 1:
The air conditioning system transitions from static continuous operation to dynamic variable-speed operation. The compressor and air movers adjust their operating speeds based on real-time cooling demands detected by sensors, allowing the system to maintain reliability while reducing energy consumption during periods of lower heat load.
Solution Approach 2:
Temperature sensors continuously monitor the data center environment and provide feedback to the control system. This feedback enables the air conditioning units to adjust their cooling output dynamically, ensuring reliability when temperatures rise while avoiding unnecessary energy consumption when cooling demands are low.
2Reliability
If conventional air conditioning units are sized for worst-case scenarios, then sufficient cooling capacity is provided, but operating expenses increase due to over-cooling
Solution Approach 1:
Instead of always providing 100% cooling capacity, the system applies partial cooling action matched to actual needs. Sensors detect real-time heat loads and activate only the necessary portion of cooling capacity, eliminating excessive cooling actions that waste energy while still ensuring sufficient capacity is available when needed.
Solution Approach 2:
The system changes operational parameters (cooling output level) based on detected environmental conditions. When heat loads are low, the cooling parameter is reduced accordingly; when heat loads increase, the cooling parameter is increased, optimizing energy usage while maintaining adequate cooling capacity.
3Device complexity
If air conditioning units do not vary cooling output based on distributed needs, then system simplicity is maintained, but energy efficiency decreases
Solution Approach 1:
The cooling system is segmented into multiple independently controllable air conditioning units, each equipped with its own sensors and control logic. This segmentation allows each unit to respond independently to local cooling demands, improving energy efficiency while maintaining relative system simplicity through modular design.
Solution Approach 2:
Temperature sensors and control systems are integrated into each air conditioning unit, giving each unit multi-functionality (cooling + autonomous control). This universal approach allows distributed decision-making across the system, improving energy efficiency without requiring complex centralized control infrastructure.
Data Source
AI summary
The invention provides a modular network sensor assembly operable to sense environmental conditions at a computer or equipment rack. The network sensor assembly includes a flexible body operable to be folded along a central fold line. The central fold line separates the flexible body into a first panel and second panel. A number of mounting tabs are hingedly attached to either the first panel or second panel. These mounting tabs are operable to secure the network assembly to the computer rack. A number of sensor tabs are located along the central fold line. Addressable sensors capable of sensing environmental conditions are positioned proximate to the sensor tabs, and communicatively coupled to a common bus. A memory device is also communicatively coupled to the common bus and is operable to store configuration information and data associated with the sensed environmental conditions sampled by the addressable sensors.