IoT Tag Door State Classification via Signal Comparison
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Solution Overview
Problem
Existing solutions for monitoring the state of storage room doors in large-scale warehouses are inefficient and costly, requiring continuous patrols or complex camera surveillance systems.
Innovation Solution
A method using Internet-of-Things (IoT) tags placed on different locations of a door to transmit operation characteristics, which are received and compared by a network element to classify the door state as open or closed.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If continuous patrols by warehouse workers are used to monitor door states, then door security is maintained, but operating costs increase and efficiency decreases
Solution Approach 1:
The door monitoring system performs self-service by automatically detecting and reporting its own state through IoT tags and network elements, eliminating the need for external human patrols while maintaining continuous security monitoring
Solution Approach 2:
The manual mechanical patrol system is replaced with an automated electronic monitoring system using IoT tags, network elements, and servers that automatically detect door states and transmit data without human intervention
2Reliability
If surveillance cameras are deployed to monitor door states, then door security is improved, but device complexity and installation difficulty increase
Solution Approach 1:
The complex image processing and algorithm requirements of camera systems are extracted and eliminated, retaining only the essential function of door state detection through simpler IoT tags that directly transmit state information without requiring visual analysis
Solution Approach 2:
Expensive surveillance cameras are replaced with inexpensive IoT tags that provide the essential door state detection function at a fraction of the cost and complexity, sacrificing advanced imaging capabilities for simplicity and affordability
3Measurement precision
If surveillance cameras with image processing are used, then door state detection is achieved, but computing resources and processing power are significantly consumed
Solution Approach 1:
The computationally intensive image processing algorithms are extracted and removed from the system, keeping only the essential door state detection capability through direct signal transmission from IoT tags, thereby eliminating excessive computing resource consumption
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
This solution provides an efficient and cost-effective means to monitor door states without the need for continuous patrols or complex surveillance systems, enabling improved security and inventory management.
Implementation Method 1
receiving data packets from a network element, wherein the received data packets include operation characteristics related to at least a first Internet-of-Things (IoT) tag and a second IoT tag, and wherein the operation characteristics are respectively derived from signals transmitted by the first IoT tag and the second IoT tag
Data Source
AI summary
According to a first aspect of the present disclosed subject matter, A method of classifying doors states, comprising: receiving, data packets from a network element, wherein the received data packets include operation characteristics related to the least a first Internet-of-Things (IoT) tag and a second IoT tag, wherein each of the first and second IoT tags is placed on a different location at a door, and wherein the operation characteristics are respectively derived from signals transmitted by the first IoT tag and the second IoT tag; comparing the operation characteristics of the first IoT tag and the second IoT tag with respect to the network element; and classifying a state of the door based on the comparison.