Outdoor Lighting Safety Factor Prioritization
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Solution Overview
Problem
Conventional outdoor lighting systems lack a safety-focused criterion for replacing faulty units, leading to delayed maintenance and potential safety risks due to the reliance on the number of faulty lamps rather than safety factors like traffic, crime rates, and accident rates.
Innovation Solution
A decision support system that includes a safety monitor module to determine a safety factor for each zone, combining factors such as automobile traffic, pedestrian traffic, crime rate, and accident rate, and a decision module to prioritize repairs based on these factors, signaling when the repair priority reaches a threshold.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If the replacement of faulty street lamps is delayed to avoid blocking traffic multiple times, then traffic disruption is reduced, but public safety deteriorates due to prolonged periods without proper lighting
Solution Approach 1:
The system changes the decision parameter from a simple count of faulty lamps to a calculated safety factor that incorporates multiple variables (traffic volume, pedestrian activity, crime rates, accident rates). This allows dynamic adjustment of replacement priority based on actual safety impact, enabling timely repairs in high-risk areas while deferring low-risk replacements to minimize traffic disruption.
Solution Approach 2:
The system continuously monitors external data sources (traffic conditions, crime statistics, accident reports) and feeds this information back to the safety factor calculation. This feedback loop enables adaptive decision-making where replacement priorities are automatically adjusted based on current safety conditions, balancing the need for timely repairs with traffic flow considerations.
2Reliability
If faulty lamps are replaced immediately upon failure, then public safety is maintained, but traffic disruption increases due to frequent road blockages
Solution Approach 1:
Instead of using a fixed replacement threshold, the system transforms the decision criterion into a dynamic safety factor that weights different zones based on their specific risk profiles. High-traffic areas with high crime rates receive higher priority scores, while low-risk areas are deferred, optimizing the balance between safety and traffic disruption.
Solution Approach 2:
The system performs preliminary assessment of safety factors for all faulty lamps before scheduling repairs. By pre-calculating priority scores based on external data, the system can plan replacement sequences that address the most critical safety risks first, thereby maintaining public safety while minimizing the frequency and duration of traffic disruptions.
3Device complexity
If replacement decisions are based solely on the number of faulty lamps, then maintenance simplicity is maintained, but safety assessment accuracy deteriorates
Solution Approach 1:
The system transforms the single-parameter decision criterion (number of faulty lamps) into a multi-parameter safety factor calculation that incorporates traffic volume, pedestrian activity, crime rates, and accident history. This parameter expansion significantly improves safety assessment accuracy while the automated calculation and external data integration keep the added complexity manageable.
Solution Approach 2:
The safety factor calculation system serves multiple functions simultaneously: it assesses safety risk, prioritizes repair schedules, and optimizes resource allocation. By creating a universal metric that combines multiple data sources, the system achieves accurate safety assessment without requiring separate complex evaluation processes for each factor.
Data Source
Figure 1
AI summary
A decision support unit for an outdoor lighting network (100) is disclosed. The outdoor lighting network includes a plurality of lighting units (LU1 –LU8) grouped in a plurality of zones (30, 31). The decision support unit includes a controller (20) including safety monitor module (23)arranged to determine a safety factor for each of the plurality of zones (30, 31). The safety factor for each the plurality of zones 30, 31 is determined using at least one factor that represents an aspect that contributes to an assessment of each of the plurality of zones' safety. The decision support unit may also include a decision module (24) that determines a repair priority of a faulty lighting unit (LU1 –LU8) using the safety factors determined by the safety monitor module (23).