Feed Bin Weighing With Environmental Compensation Calibration
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Solution Overview
Problem
Existing weighing systems for feed bins are prone to inaccuracies due to environmental changes, which affect the reliability of data detection and management in farm settings.
Innovation Solution
A weighing system for feed bins incorporating a load cell group, controller, cloud server, and client, equipped with data calibration modules and algorithms to compensate for environmental factors such as temperature, humidity, wind speed, and vibrations, along with a cloud-based data processing and visualization system to ensure accurate weight data transmission and analysis.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If a weighing system is used to monitor feed discharge, then feed consumption data can be obtained, but environmental changes cause inaccurate data detection
Solution Approach 1:
The system changes the parameters of the weighing system by introducing multiple sensors (temperature, humidity, vibration) and implementing dynamic calibration algorithms that adjust the weighing data based on real-time environmental parameter changes, thereby maintaining measurement precision under varying environmental conditions
Solution Approach 2:
The system implements feedback mechanisms where sensor data from environmental factors is continuously fed back to the controller, which then adjusts the weighing calculations in real-time to compensate for environmental influences, ensuring reliable data detection
2Device complexity
If environmental factors are not compensated, then the weighing system is simple, but data accuracy deteriorates
Solution Approach 1:
The controller is designed with multi-functionality, integrating weighing data processing, environmental parameter monitoring, data calibration, and compensation calculations all within a single device, which increases measurement precision without proportionally increasing overall system complexity
Solution Approach 2:
The system introduces environmental sensors and calibration algorithms as intermediary elements between the weighing system and the final data output, which process environmental influences separately and then integrate them into the weighing results, improving accuracy while keeping the core weighing mechanism relatively simple
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 provides accurate and reliable weight data by compensating for environmental factors, ensuring precise feed discharge monitoring and reducing management costs through real-time data analysis and reporting.
Implementation Method 1
a load cell group, the load cell group being configured to collect a loading pressure of feed bin legs
Implementation Method 2
the air temperature calibration module is provided with a second linear regression algorithm model. The second linear regression algorithm model performs temperature compensation on weight data of the load cells according to temperature changes
Implementation Method 3
the vibration calibration module is provided with a third linear regression algorithm model. The third linear regression algorithm model performs vibration compensation on weight data of the load cells according to vibration changes
Data Source
AI summary
The invention discloses a weighing system for a feed bin, including a load cell group, a controller, a cloud server and a client. The load cell group is configured to collect a loading pressure of feed bin legs. The controller is electrically connected with the load cell group, the controller is mounted on the feed bin, and the controller is configured to calculate and display discharging data of the feed bin. The cloud server is electrically connected with the controller, and the cloud server is configured to receive data sent by the controller and process the data. The client is electrically connected with the cloud server, and the client is configured to receive information sent by the cloud server.