Solar-Powered Fluid Level Sensor for Remote Storage Monitoring
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Solution Overview
Problem
Remote storage tanks, especially in areas with limited access to power and internet, face challenges in monitoring fluid levels, leading to inefficient and costly periodic deliveries as existing methods lack reliable and autonomous monitoring solutions.
Innovation Solution
A solar-powered monitoring system that uses sensors to measure fluid levels, converts analog signals to digital, and publishes data via a cellular network to an MQTT broker, allowing for scheduled data transmission and energy management to optimize power consumption, enabling real-time inventory tracking and notifications.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If periodic delivery is used to ensure fluid levels do not drop to unacceptable levels, then fluid availability is maintained, but cost and time are significantly increased due to unnecessary trips to remote locations
Solution Approach 1:
The system continuously monitors fluid levels in remote storage tanks and transmits this information via wireless communication to a remote location. This feedback mechanism allows the delivery system to respond only when fluid levels actually drop to unacceptable thresholds, eliminating unnecessary periodic trips while ensuring fluid availability.
Solution Approach 2:
The monitoring system operates autonomously at remote locations without requiring human presence. Sensors automatically detect fluid levels, process the data, and transmit information wirelessly, enabling the system to service itself and trigger deliveries only when necessary based on actual fluid conditions.
2Reliability
If periodic delivery is used to ensure fluid levels do not drop to unacceptable levels, then fluid availability is maintained, but cost increases due to travel expenses to remote locations
Solution Approach 1:
The system continuously monitors fluid levels in remote storage tanks and transmits this information via wireless communication to a remote location. This feedback mechanism allows the delivery system to respond only when fluid levels actually drop to unacceptable thresholds, eliminating unnecessary periodic trips while ensuring fluid availability.
Solution Approach 2:
The monitoring system operates autonomously at remote locations without requiring human presence. Sensors automatically detect fluid levels, process the data, and transmit information wirelessly, enabling the system to service itself and trigger deliveries only when necessary based on actual fluid conditions.
3Productivity
If active monitoring of fluid levels is implemented in remote locations, then timely delivery can be scheduled, but power and internet availability become limiting factors
Solution Approach 1:
The monitoring system operates autonomously at remote locations without requiring human presence. Sensors automatically detect fluid levels, process the data, and transmit information wirelessly, enabling the system to service itself and trigger deliveries only when necessary based on actual fluid conditions.
Solution Approach 2:
The system transmits fluid level data at scheduled intervals or when threshold conditions are met, rather than continuously. This periodic transmission approach reduces energy consumption for communication while still providing timely information for delivery scheduling.
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 allows for accurate and efficient scheduling of deliveries, reduces costs by minimizing unnecessary trips, and provides timely notifications for fluid replenishment, enhancing the management of commodities like propane, gases, and liquids.
Implementation Method 1
The system includes and is powered by a solar cell which converts solar energy into electricity.
Implementation Method 2
measuring via a sensor the amount of the commodity in the remote storage container
Data Source
AI summary
A method for monitoring an amount of a commodity in a remote storage container via a system comprises: (i) measuring via a sensor the amount of the commodity in the remote storage container and outputting an analog or digital signal, wherein if the signal outputted by the sensor is an analog signal, the method further comprises converting the analog signal to a digital signal; (ii) packaging the digital signal into a data file; (iii) publishing via a wireless connection the data file to a message query telemetry transport (MQTT) broker for access by a user; (iv) receiving confirmation that the MQTT broker received the data file; (v) accessing by the user information from the data file; and (vi) repeating steps (i) to (v) after a predetermined time.


