Gateway-Based IoT Device Localization and Commissioning
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Solution Overview
Problem
Existing systems for monitoring and controlling physical environments face challenges such as data privacy issues, scalability, and the need for comprehensive strategies to accurately time-stamp and process data for energy or space usage efficiency, particularly in large buildings with diverse sensor devices generating data in various formats.
Innovation Solution
A cloud-based monitoring and control system that includes a computing cloud, a building server, a gateway, and an IR remote control device, enabling the localization and configuration of system devices through a user interface, data conversion between different formats, and scalable infrastructure to manage growing data volumes and errors.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If comprehensive data gathering from multiple sensor devices is implemented, then measurement precision and data completeness improve, but data privacy risks and system complexity increase
Solution Approach 1:
The system divides the building into multiple zones with separate gateway devices, each managing a subset of sensor devices. This segmentation allows comprehensive data collection while distributing system complexity across multiple manageable units, where each gateway handles only its local zone's devices and data.
Solution Approach 2:
Gateway devices serve as intermediaries between sensor devices and the cloud-based server. The gateways collect data from sensors, perform local preprocessing and filtering, and then transmit aggregated data to the cloud, reducing the complexity burden on both the sensors and the central server while maintaining data completeness.
2Adaptability or versatility
If multiple sensor devices in various formats are integrated, then adaptability and monitoring coverage improve, but device complexity and data processing difficulty increase
Solution Approach 1:
The gateway device is designed as a universal platform that can interface with multiple types of sensor devices using different communication protocols and data formats. The gateway performs format conversion and standardization, allowing diverse sensors to be integrated without increasing overall system complexity, as the gateway handles all format variations centrally.
Solution Approach 2:
The system changes the data format parameter by converting diverse sensor data formats into a standardized format at the gateway level before cloud processing. This parameter transformation enables broad sensor integration while simplifying downstream data processing, as the cloud server receives uniform data regardless of the original sensor format.
3Productivity
If cloud-based processing of all sensor data is implemented, then analytics capability improves, but data transmission requirements and system reliability risks increase
Solution Approach 1:
The gateway devices perform preliminary data processing, filtering, and validation before transmitting data to the cloud. This preliminary action ensures that only quality-assured data is transmitted, reducing the risk of propagating errors to the cloud-based analytics system and improving overall system reliability while maintaining analytics capability.
Solution Approach 2:
The gateway acts as a buffer or cushion between sensors and the cloud, absorbing and mitigating potential data quality issues, transmission errors, or device failures before they reach the cloud-based analytics system. This beforehand cushioning protects the analytics capability while maintaining system reliability through local error handling.
4Manufacturing precision
If skilled technicians are required for device installation and configuration, then manufacturing precision and system setup accuracy improve, but installation time and cost increase
Solution Approach 1:
The sensor devices and gateways are designed with self-configuration capabilities, automatically detecting their environment, establishing connections, and configuring themselves without requiring skilled technicians. This self-service approach maintains setup accuracy through automated validation while dramatically reducing installation time and skill requirements.
Solution Approach 2:
Devices are pre-configured with default settings, identification markers, and configuration data before deployment. This preliminary action allows devices to be quickly installed and automatically integrated into the system without requiring skilled technicians for complex configuration, while maintaining accuracy through pre-validating setup procedures.
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 effectively addresses data privacy, scalability, and efficiency challenges by enabling seamless data processing and management across diverse devices, ensuring accurate energy and space usage insights while minimizing data loss and requiring minimal skilled installation.
Implementation Method 1
The IR remote control device is configured to transmit an IR signal to the system device to add itself to the gateway's wireless network
Data Source
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AI summary
Disclosed are systems and methods for commissioning, localizing, and re-localizing a system device used for monitoring physical environments. A disclosed system for localizing a system device comprises a computing cloud, a building server, and a gateway. The computing cloud comprises various application modules, including an application module for receiving a user's selection of the system device on a portable electronic device, a project service module for receiving and transmitting a request to open a wireless network of a gateway, and a plugin module for receiving an enhanced request to open a wireless network of a gateway, and for transmitting a request to open a specific type of wireless network at the gateway. The building server is communicatively coupled with the computing cloud, the gateway is communicatively coupled with the building server, and the system device is communicatively coupled with the gateway.