Lighting System Network Traffic Reduction via Power Profile Correlation
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Solution Overview
Problem
The frequent transmission of power usage measurements from lighting controllers to site controllers in lighting systems leads to significant network traffic congestion, limiting the performance of other network applications and causing sluggish response times or missed events.
Innovation Solution
The site controller calculates energy consumption using dynamically updated power profiles generated by lighting controllers, eliminating the need for frequent power usage message transmissions by correlating power usage with lighting configurations, and allowing periodic recalibration to account for variations and aging.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If power usage measurements are transmitted frequently from lighting controllers to site controller, then energy consumption reporting accuracy is improved, but network traffic congestion increases
Solution Approach 1:
The site controller pre-calculates expected power usage values by correlating lighting configuration data with power consumption patterns before transmission occurs. This preliminary calculation eliminates the need for frequent actual power measurement transmissions, as the site controller can estimate power usage based on known lighting states and pre-stored power profile data.
Solution Approach 2:
Instead of transmitting actual power measurement data frequently, the system uses lighting configuration data (which is already being transmitted for control purposes) as a proxy or copy to infer power consumption. The site controller creates power usage estimates by matching lighting configuration states with pre-stored power consumption profiles, avoiding the need to transmit separate power measurement messages.
2Measurement precision
If power usage messages are transmitted frequently, then energy consumption calculation accuracy is improved, but response time for other lighting applications deteriorates
Solution Approach 1:
Power consumption profiles are pre-measured and stored during manufacturing or initial setup, creating a lookup table of power usage versus lighting configuration. During operation, the site controller simply matches current lighting configurations with pre-stored profiles to determine power consumption, eliminating the time delay associated with frequent real-time measurements and transmissions.
Solution Approach 2:
The system uses lighting configuration data (already available for control operations) as a substitute for actual power measurements. By correlating configuration states with pre-stored power profiles, the system obtains power consumption information without waiting for power measurement transmissions, thus maintaining fast response times for lighting applications.
3Measurement precision
If power usage measurements are transmitted frequently, then energy consumption monitoring accuracy is improved, but network congestion increases limiting other traffic
Solution Approach 1:
The system replaces actual power measurement transmissions with lighting configuration data transmissions. Since lighting configuration data must already be transmitted for control purposes, this approach provides power consumption information without adding additional network traffic, thereby maintaining network throughput for other applications while still enabling accurate energy monitoring through profile correlation.
Solution Approach 2:
The lighting configuration data serves dual purposes: it controls the lighting system and simultaneously provides the basis for calculating power consumption when correlated with pre-stored power profiles. This multi-functionality eliminates the need for separate power measurement transmissions, reducing overall network traffic while maintaining monitoring accuracy.
Data Source
AI summary
Systems and methods are provided for reducing network traffic in a lighting system. A server computer can calculate the energy consumption of the light sources in the lighting system based on the settings of the lights sources implemented by the server computer and power usage data for the light sources. By calculating the energy consumption at the server computer based on the implemented settings and the power usage data, the server computer does not have to receive communications from the controllers of the light sources indicating the power usage or energy consumption of the light source. The power usage data for the light sources can be updated to enable the server computer to provide more accurate energy consumption information for the lighting system.