Distributed Gateway for Parking Sensor Reliability
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Solution Overview
Problem
Existing parking monitoring systems face reliability issues due to limited power supplies and potential failures in vehicle sensing devices and communication means, which can be exacerbated by the need for hard-lined power to each device.
Innovation Solution
A distributed remote sensing system with a centralized controller, gateways, and sensing devices that utilize wireless or wired communication protocols, including cellular, satellite, and internet connections, and incorporate redundant communication pathways and solar-powered gateways with rechargeable power storage units to manage power efficiently and ensure system reliability.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If hard-lined power is provided to each vehicle sensing device and communication means, then power supply reliability is improved, but device complexity and installation difficulty increase
Solution Approach 1:
The system divides the sensing network into distributed zones, each served by a local gateway that aggregates data from multiple sensing devices. This segmentation reduces the complexity of providing individual hard-lined power to each device, as gateways can serve multiple devices within their wireless range, reducing overall infrastructure complexity while maintaining reliability through localized power management.
Solution Approach 2:
Gateways act as intermediary nodes between sensing devices and the centralized monitoring location. These gateways receive data from multiple sensing devices wirelessly, buffer and manage power consumption, then transmit aggregated data to the central system. This intermediary layer reduces the need for hard-lined power to every individual device while maintaining system reliability through intelligent power management at the gateway level.
2Ease of manufacture
If vehicle sensing devices and communication means have limited power supplies, then ease of installation is improved, but system reliability deteriorates due to potential failures and outages
Solution Approach 1:
The system implements preliminary power management strategies at the gateway level, including power buffering, data caching, and intelligent transmission scheduling. Gateways pre-process and buffer data from sensing devices, allowing the system to maintain operation during power fluctuations or outages. This preliminary action ensures that limited power supplies do not immediately compromise reliability, as the gateway can manage power consumption proactively.
Solution Approach 2:
The gateway incorporates power buffering capabilities that cushion against power supply variations and outages. By maintaining local buffers for data and power management, the system can withstand temporary power failures without losing data integrity or system functionality. This beforehand cushioning protects the system from the reliability issues that would otherwise result from limited power supplies.
3Productivity
If a centralized monitoring location is used for data analysis, then data processing efficiency is improved, but communication infrastructure complexity and power requirements increase
Solution Approach 1:
The system segments the data processing function by implementing distributed intelligence at the gateway level. Gateways perform preliminary data processing, filtering, and aggregation before transmitting to the centralized monitoring location. This segmentation reduces the communication burden and infrastructure complexity, as only processed and relevant data needs to be transmitted over long distances, while maintaining the productivity benefits of centralized analysis for complex patterns.
Solution Approach 2:
The system applies local quality processing at gateways, where data is pre-processed, filtered, and validated before transmission to the central system. This local quality enhancement reduces the volume and complexity of data requiring centralized processing, thereby reducing communication infrastructure requirements while maintaining overall data processing efficiency. The gateway performs quality control locally, reducing the burden on the centralized system.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
The system improves reliability and power management by enabling real-time data transmission, reducing the need for hard-lined power, and providing redundancy in communication and power supply, thus minimizing failures and outages.
Implementation Method 1
The gateway may include a solar panel and a power storage unit, such as a rechargeable battery. The solar panel may effect at least recharging of the power storage unit.
Data Source
AI summary
A distributed remote sensing system including a group of gateways and a sensing device group associated with each gateway in the group of gateways wherein the sensing device group associated with one gateway is different than another sensing device group associated with a different gateway.