Edge Computing Platform for IoT Device Configuration Management
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Solution Overview
Problem
Existing IoT device management technologies face challenges in efficiently managing massive IoT devices, leading to issues such as excessive resource consumption, packet loss, and difficulty in managing devices when they are offline.
Innovation Solution
The introduction of an edge computing platform that generates reported and desired value storage spaces, allowing for decoupling between IoT devices and control ends, thereby improving data transmission efficiency and management efficiency.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If control end directly connects to IoT devices for control, then control functionality is achieved, but resource consumption increases and packet loss occurs in massive device scenarios
Solution Approach 1:
The patent introduces an edge computing platform as an intermediary between the control end and IoT devices. The platform receives control instructions from the control end, manages configuration data for multiple devices, and sends control instructions to devices. This mediator architecture reduces direct connections between control end and devices, lowering transmission resource consumption and packet loss while maintaining control reliability.
Solution Approach 2:
The patent segments the control architecture into three distinct layers: control end, edge computing platform, and IoT devices. This segmentation allows the edge computing platform to handle device management tasks independently, reducing the burden on the control end and improving overall system efficiency in managing massive devices.
2Ease of operation
If control end directly manages IoT devices, then device control is possible, but management efficiency decreases when devices are offline
Solution Approach 1:
The edge computing platform pre-stores configuration data (desired values) for IoT devices. When control instructions are received, the platform can immediately retrieve and forward the appropriate configuration data without waiting for device responses or repeated transmissions. This preliminary preparation significantly reduces management time loss, especially when devices are offline or have delayed responses.
3Reliability
If configuration data is transmitted directly between control end and devices, then data synchronization is achieved, but transmission efficiency decreases
Solution Approach 1:
The edge computing platform serves as a centralized intermediary that manages configuration data for multiple IoT devices. Instead of direct one-to-one transmissions between control end and devices, the platform consolidates data management operations, retrieves configuration data efficiently from storage, and batches transmissions where possible. This intermediary approach maintains data synchronization reliability while significantly improving overall transmission efficiency.
Data Source
AI summary
A management method for an Internet of Things device includes: generating a reported value storage space and a desired value storage space for the Internet of Things device; receiving device actual configuration data reported by the Internet of Things device, and storing the device actual configuration data into the reported value storage space; receiving a configuration instruction that is transmitted by a control end of the Internet of Things device and that includes desired configuration data, and storing the desired configuration data into the desired value storage space; and synchronizing the desired configuration data stored in the desired value storage space into the Internet of Things device when the desired configuration data stored in the desired value storage space is different from the device actual configuration data stored in the reported value storage space.