System and method for analyzing a fluid
By combining high-precision and low-precision sensors in the milking system, and using the high-precision sensor to correct the measurement results of the low-precision sensor, the problem of low sensor accuracy is solved, and the emulsification measurement accuracy is achieved.
CN115917312BActive Publication Date: 2026-01-02SCR ENGINEERS LTD
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Patent Information
- Application Number
- CN202180030223.0
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- Priority Date
- 2020-03-03
- Filing Date
- 2021-03-03
- Publication Date
- 2026-01-02
- Estimated Expiration
- 2041-03-03
AI Technical Summary
Technical Problem
In existing milking systems, sensors in the pipelines are usually low in accuracy due to cost considerations, resulting in poor data quality and affecting the effectiveness of decision-making. Furthermore, the installation cost of high-precision sensors is too high to be widely used.
Method used
By combining multiple Type I sensors with a small number of high-precision Type II sensors, the measurement results of the Type I sensors are corrected by the Type II sensors, thereby reducing animal-specific bias.
Benefits of technology
This improved the accuracy and data quality of milk parameter measurements, enhanced the reliability of decision-making, and reduced sensor installation costs.
✦ Generated by Eureka AI based on patent content.
Abstract
Systems and methods for analyzing milk are described. A plurality of first type sensors are provided, each first type sensor being associated with a respective one of a plurality of teat cup sets of a milking system and configured to analyze milk extracted by the teat cup set from an individual animal to determine at least one first type sensor value of a parameter of the milk across an event period. At least one of a second type sensor associated with at least one of the plurality of teat cup sets is configured to analyze milk extracted by the teat cup set from the individual animal to determine at least one second type sensor value of the parameter of the milk within the event period, wherein the second type sensor is less susceptible to animal-specific bias than the first type sensor. The number of second type sensors in the system is less than the number of first type sensors. Based on the at least one first type sensor value and the at least one second type sensor value of the parameter determined for the individual animal, an animal-specific bias correction is determined for the individual animal. The animal-specific bias correction is applied to the first type sensor values of the parameter obtained from the first type sensors for milk extracted from the individual animal.
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