Sow Performance Testing Station - Principle of Measurement
The Yangzhou Muxin Intelligent Pig Breeding System utilizes RFID passive electronic ear tags for identification, recognizing each individual pig entering the station and dynamically measuring and recording their feeding process continuously. Each testing pen in the system is equipped with a testing station, which can accommodate 12 to 15 testing pigs. When the testing boars with electronic ear tags enter the testing station to feed, the station immediately identifies the pig's ear tag number. Based on the ear tag, the station establishes a testing record for each individual. Upon the end of the feeding process, the system automatically calculates, records, and measures the time the boars enter and exit the station, as well as their feed intake. While the boars are feeding, they stand on individual weight scales, which record their weight during the feeding. According to pig habits, each testing boar enters the station to feed approximately 12 to 15 times a day, sorted by grade. The system automatically accumulates each boar's feed intake for the day and updates the database. The weight data from each individual pig, after being computer-summarized and analyzed, is used as the daily weight of the testing boars, which serves as the data basis for calculating daily weight gain and feed conversion.
System Functionality
The sow growth performance automatic measurement system can accurately determine various precise data during the growth process of sows, automatically generate various reports, and automatically plot growth performance curves. It provides index parameters for sow selection and breeding, and can also compare and select formula feed based on the precise data of actual feeding effects of feed. It has created necessary conditions for improving the breeding and production levels of pigs in our country, and promoting the industrialization and upgrading of sow breeding in our country. The system has realized the following functions:
1. Automated control of feeding and measurement processes;
2. Automated feeding pig recognition
3. Automatically identify each pig's ear tag number, the start time of eating, the duration of eating, and the amount consumed, and calculate the daily intake amount.
4. Automatically measure daily weight and calculate daily weight gain.
5. Automatically measure the age of 30Kg, 50Kg, and 100Kg live weight.
6. Automatically calculate daily feed return.
7. Automatically generate daily measurement detail sheets.
8. Automatically generate age segment statistics tables.
9. Automatically generate result report forms.
10. Automated plotting of growth performance curves within the measurement period
Feature Highlights
Controller: PLC Host, Touch Screen
Power Supply: Distribution box 220V, equipment 24V, battery-powered for over 8 hours after power outage
Equipment Power: 50W
Motor Model: Stepper Motor, Brushless, Maintenance-Free
Individual Count: 15 pieces
Measurement Range: Standard above 25 kg, with a specialized piglet weighing device (suitable for restricted feeding) Feed Scale Accuracy: Feed scale range 3000g, weighing error ≤ ±2g
Scale Accuracy - The weight scale has a range of 300.0 Kg with a weighing error of ≤ ±0.2 Kg.
Radio Frequency Identification (RFID): Sensing distance: 20cm-25cm, response time ≤ 0.5ms
Display Information: Earring Number, Weight, Feed Intake, Feed-to-Meat Ratio
Work Environment: Temperature: -10℃ to 50℃; Humidity: 15% to 80%RH
Primary Material: 304 Stainless Steel, PP Sheet
Data Transmission: RS485 between measurement stations, VPN between measurement sites; data accessible via mobile phone
Key Features
Automatically peels and deducts the fecal gross weight
The metal body is made entirely of 304 stainless steel.
The on-site operation uses a touchscreen with rich display content, featuring multi-level screens and easy operation.
Data transmission viewing is simple and convenient.
Data from the measuring station is uploaded to Alibaba Cloud, and can be viewed through a browser without the need for software installation. Data is accessible on mobile devices, and interfaces can be provided for direct use by breeding software like Fengdon.
