Group-Level Forward Triggering for Smart Street Lighting Networks
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Solution Overview
Problem
Current smart street lighting systems face challenges in implementing a cost-effective and efficient forward trigger mechanism for lighting adjustments based on moving objects, as existing solutions require advanced sensors and complex commissioning processes, leading to increased costs and complexity.
Innovation Solution
Implementing a group-level forward triggering method where edge node devices in each group detect and transmit trigger messages to adjacent groups, allowing for precise control of lighting adjustments without the need for each node to detect the moving object's direction or position, using simple motion detectors and standard communication protocols.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If each node device uses advanced sensors to detect moving object direction and position for precise forward triggering, then the accuracy of forward triggering is improved, but the device cost and complexity increase
Solution Approach 1:
The system divides the network into groups of node devices with designated edge nodes. Each group independently handles forward triggering for objects within its detection coverage, segmenting the overall detection task. This reduces individual node complexity while maintaining collective detection accuracy through coordinated group operation.
Solution Approach 2:
Edge nodes act as intermediaries between the detected object and the broader network. Instead of every node directly detecting and processing object information, edge nodes receive detection data and relay trigger messages to adjacent groups, simplifying the detection burden on individual nodes while preserving system-wide accuracy.
2Speed
If each node device is equipped with sensors and communication means for individual forward triggering, then the responsiveness to moving objects is improved, but the manufacturing cost increases
Solution Approach 1:
Node devices are designed with universal functionality to perform multiple roles: detection, relay communication, and lighting control. This multi-functionality reduces the need for specialized components in each node, lowering manufacturing costs while maintaining rapid responsiveness through integrated operation.
Solution Approach 2:
The system enables self-organizing groups where edge nodes automatically identify themselves and establish communication pathways without manual configuration. This self-service capability reduces deployment complexity and cost while ensuring rapid responsiveness as nodes autonomously adapt to network changes.
3Measurement precision
If comprehensive neighbor tables with direction and sequence information are created during commissioning, then the precision of forward triggering is improved, but the commissioning effort and time increase
Solution Approach 1:
Edge nodes automatically build and maintain neighbor relationship information through self-organizing protocols during network formation. This eliminates the need for manual commissioning of detailed neighbor tables, significantly reducing commissioning time while maintaining precise forward triggering through dynamically updated neighbor data.
Solution Approach 2:
The system uses dynamic neighbor discovery protocols that allow node relationships to be automatically established and updated as the network forms and changes. This dynamic approach replaces static pre-configured neighbor tables, reducing commissioning effort while maintaining trigger precision through real-time network state awareness.
4Measurement precision
If optical sensors like cameras are added to each luminaire for self-learning neighbor identification, then the accuracy of neighbor detection is improved, but the device cost increases
Solution Approach 1:
The system replaces optical sensors (cameras) with electromagnetic field-based communication and detection mechanisms. Node devices use radio frequency communication to identify and establish neighbor relationships, substituting complex optical detection systems with simpler electromagnetic field interactions that achieve the same neighbor identification function at lower cost and complexity.
Data Source
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AI summary
A method of, a node device and a computer program product arranged for transmitting a trigger message in a network of operatively interconnected node devices arranged along at least one elongated track is disclosed. The trigger message is configured for triggering a service provided by the node devices to a moving object. The node devices are divided into a plurality of groups, each group comprising, seen in a moving direction of the object, a first edge node device, at least one normal node device and a second edge node device, within each group at least the first edge node device and the second edge node device respectively comprising a sensor for detecting the object. The method comprises the step of: receiving, by a first edge node device in a group, a first object-approaching trigger message transmitted by a second edge node device in an immediate preceding group; and transmitting, by the first edge node device in the group, a second object-approaching trigger message to other node devices in the group. The method therefore ensures that only forward group trigger of the service is performed.