种猪生产性能测定系统开发与性能测试.

In order to monitor feeding behavior of sows and further attain the sow's precise feeding, an intelligent production performance testing system was designed in this study, which played functions in sows' automatic identification, body weight perception, automatic feeding data acquisition and data analysis simultaneously. The system was composed of electric ear tag identification module, precise feed flow control module, feed trough and boar weighing module, data communication and remote control module. The mechanical device system was constituted of feeding bin, brackets, railing and blocking apron. The mechanical device system was constituted of feeder's vertical wall, weighting platform, flapper, feed loading device, feed bin, control box, switch of discharge and ear tag recognizer. Electronic control systems included microprocessor (LPC1766, ARM Cortex-M3, Working temperature -40-105℃, Operating voltage 2.0-3.6 V, flash 256 K, low power consumption et al.), RS232 reader port, data storage chip (the default storage capacity is 256 KB), circuit of watchdog, weighing circuit, exterior-drivers circuit, JTAG connector circuit and stabilivolt source circuit. Among above, the sensor used for pigs weighing was Delux ADS1232 which had 2 rate options, 10 times per second and 80 times per second, with high precision and large range of features. The performance testing experiment revealed that: 1) the system's precision meets the monitoring requirement of sow production performance. The discharge rate of feeder depended on the level of feed in stock bin, and the average amount of unloading feed was 93±2 g at one time; the range of pig weighing was 0~200kg with the precision error below 10 g, and the dynamic weighing error was below 0.5% of pig's weight. 2) The feeding behavior monitor for 40 gilts (25-60 kg) showed that the frequency of free feed intake was 10-12 times per day, the average feed time was 78 min, the feed conversion ratio was 2.33:1, and their weight gain was converged to the Gompertz curves (e.g. Wt=172.1exp(-4.0187exp(-0.0122*t)), Wt means body weight, kg; t means day old, day), the predicted decreasing daily weight gain of growing pigs by Gompertz curve occurred at day 111-117, with corresponding inflection point weight in the range of 63-64 kg. The observed and predicted results above could precisely determine the growth performance, indicating that the software systems and hardware devices could satisfy the requirement of growth performance determination in sows. 3) The wiper motor rather than early stepping motor was used in feed discharging control system, which reduced the cost of production. In addition, the combined wiper motor with cylindrical scraper structure decreased the discharge rate of feeder and improved the precision of unloading control system. 4) The core chip in control system was imported, multi-redundant, and protection systems were applied in circuit design. Multiply functional verification was adopted in software writing. The redundancy design in software and hardware eliminated the interference of power, electrical machine and electromagnetic wave, and improved the systems' reliability and stability. 5) The collected data could be saved or transferred, which facilitates the accumulation of pig production, data mining and sow breeding. [ABSTRACT FROM AUTHOR]