Network Connected Vending Device Sensor Integration
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Solution Overview
Problem
Vending devices often experience delays in maintenance and restocking, leading to lost sales and excessive power consumption due to malfunctions and irregular usage patterns, which can reduce the lifespan of components like compressors.
Innovation Solution
Incorporating sensors such as location, image, and temperature sensors into vending devices to collect data, which is then transmitted to a cloud server for processing. The cloud server analyzes this data to identify response actions, such as altering delivery routes, deploying technicians, or adjusting configurations, to improve operational efficiency and reduce costs.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If technicians manually monitor and maintain vending devices, then operational control is maintained, but delays in maintenance and restocking occur leading to lost sales and excessive power consumption
Solution Approach 1:
The vending device autonomously monitors its own status through integrated sensors (temperature, motion, image, location) and transmits data to the cloud server, eliminating the need for manual technician monitoring. The system self-identifies when maintenance or restocking is needed, enabling proactive automated responses.
Solution Approach 2:
The system continuously collects sensor data from the vending device and feeds it back to the cloud server for analysis. This feedback loop enables real-time monitoring of temperature, door openings, product availability, and device location, allowing the system to respond immediately when thresholds are exceeded or anomalies detected.
2Reliability
If manual monitoring is used, then device operation is maintained, but power consumption increases due to irregular usage patterns and malfunctions
Solution Approach 1:
Temperature sensors continuously monitor the internal temperature of the vending device and transmit data to the cloud server. The server analyzes this feedback and sends commands to adjust the compressor operation, ensuring the device maintains proper temperature only when necessary, thereby reducing energy waste from continuous operation.
Solution Approach 2:
The system dynamically adjusts compressor operation based on real-time sensor data and usage patterns. Rather than continuous operation, the compressor is activated only when temperature thresholds are exceeded or when the system detects conditions requiring cooling, optimizing energy consumption while maintaining reliability.
3Productivity
If technicians perform regular restocking, then product availability is maintained, but delivery routes are inefficient and restocking frequency is suboptimal
Solution Approach 1:
Image sensors and motion sensors detect product removal and door opening patterns, providing real-time feedback to the cloud server about actual product consumption. The server analyzes this data to determine precise restocking needs, optimizing delivery routes and timing based on actual usage rather than fixed schedules.
Solution Approach 2:
The system proactively identifies when products are running low based on sensor data analysis before complete stockout occurs. The cloud server prepares restocking commands in advance, allowing technicians to be deployed efficiently with pre-planned routes, reducing both travel time and product availability gaps.
4Device complexity
If no sensors are integrated, then device complexity is low, but real-time monitoring and automated response capabilities are lost
Solution Approach 1:
Multiple sensor types (temperature, motion, image, location) are integrated into a single unified monitoring system that collects diverse operational data. This multi-functional sensor array provides comprehensive information about device status, usage patterns, and environmental conditions, enabling the cloud server to make informed decisions about maintenance, restocking, and energy management.
Data Source
AI summary
A device may obtain sensor data regarding the vending device. The device may transmit the sensor data via a network connection for processing by a server. The server may store a data model. The server may be associated with identifying a response action associated with altering a configuration of the vending device. The device may receive information identifying the response action based on transmitting the sensor data via the network connection. The device may cause the response action to be performed based on receiving the information identifying the response action. The response action may be associated with altering a status of a component of the vending device. The device may provide information associated with identifying the status of the component.