Wireless Inventory Tracking Using Spring-Loaded Load Cells
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Solution Overview
Problem
Current inventory systems require tedious manual checks of individual containers to determine item counts, especially when containers are partially filled or opened, and fail to track individual contents within containers.
Innovation Solution
A wirelessly communicating container system that uses a spring-loaded design with a load cell and micro-controller to transmit the number of items via a wireless transmitter, allowing users to scan a desired area for nearby containers to determine their contents without direct scanning.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If manual checking of each container is performed to determine item counts, then accurate inventory tracking is achieved, but time consumption and labor effort increase significantly
Solution Approach 1:
The patent replaces manual mechanical inspection with an automated electronic sensing system. Load cells equipped with wireless transmitters automatically detect and communicate container weight and item count data, eliminating the need for manual checking while maintaining accurate inventory tracking.
Solution Approach 2:
The container system performs self-reporting of its contents through integrated load cells and wireless transmitters. Each container automatically measures its own weight, calculates item count based on predefined item weights, and transmits this information without requiring external manual intervention.
2Loss of information
If individual container scanning is performed to determine contents, then detailed inventory information is obtained, but operational efficiency decreases
Solution Approach 1:
The patent combines multiple functions into an integrated container system: load cells for weight sensing, microcontrollers for data processing, and wireless transmitters for communication. This merged system provides complete inventory information simultaneously for all containers, eliminating the need for sequential individual scanning and significantly improving operational efficiency.
Solution Approach 2:
The wireless container monitoring system serves multiple functions: it tracks item counts, monitors container locations, provides real-time inventory data, and generates alerts. This multi-functional system replaces multiple separate processes with a single universal platform that enhances both information completeness and productivity.
3Productivity
If containers are designed with wireless communication capabilities, then inventory monitoring efficiency improves, but device complexity increases
Solution Approach 1:
The patent divides the monitoring system into independent modular units, with each container equipped with its own load cell, microcontroller, and wireless transmitter. This segmentation allows each container to function independently and simplifies the overall system architecture, making it easier to implement and maintain while achieving high monitoring efficiency.
Solution Approach 2:
The patent introduces microcontrollers as intermediary devices between the load cells and wireless transmitters. These microcontrollers process raw weight data, calculate item counts, and manage wireless communication protocols, thereby simplifying the interaction between components and reducing overall system complexity while maintaining high productivity.
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
Enables quick and efficient determination of inventory levels across multiple containers, reducing manual effort and improving tracking of individual items within containers.
Implementation Method 1
A spring-loaded container can hold a plurality of objects of uniform size and weight. As objects are loaded, a spring is compressed creating force against a baseplate. This force is measured by a load cell which provides input to a Wheatstone Bridge.
Implementation Method 2
This force is measured by a load cell which provides input to a Wheatstone Bridge. Wheatstone Bridge provides an analog signal to a micro-controller based on load cell inputs.
Implementation Method 3
Micro-controller digitizes the Wheatstone inputs and converts those inputs into an integer value for the number of objects loaded into spring-loaded container.
Implementation Method 4
Micro-controller is wirelessly connected to a wireless transmitter such as an RFID integrated chip. When a valid read request is received via the wireless connection, micro-controller responds with its unique ID, the count of objects, and whether or not spring-loaded container is currently an item of focus.
Data Source
AI summary
The system and method taught herein allow a user to quickly determine how much inventory of a particular type is stored in nearby containers. Rather than inspect each container individually, a user need only scan the area for nearby containers. Each container will respond with its unique identifier and the number of items it contains.