| The individual record data accurately is the basis for the layers breeding management, the accuracy of individual records data directly affects the layer production management effects, individual records system can master the farm chicken production status for the first time, targeted for each chicken feeding, diseases, breeding management etc. Through the individual temperature, feed intake, water drinking, excretion, egg weight, egg production time monitoring,The administrator can understand the hens growth status,disease and nutritional status, take appropriate management measures, so as to ensure the normal growth of laying hens. Thekey technicalof layer temperature monitoring method, sensor nonlinear, dynamic weighi are analyzed in this system, and on this basis to carry out the layer production performance parameters multi-index modular intelligent detection research,realize the individual layers temperature, feed intake, water drinking, excretion, egg weight, egg production timecontinuous monitoring.lt can provide the objective evaluation on chicken health status and production performance,has practicalvalue tocontinue to studythe effects of climate change on chicken production performance,has a special significancefor accurately,stably,continuouslyrecording parameters onbreeding,feed, nutrition and Otherpoultrylines,it can reduce the workload, provide the basis for the hen houseoptimization facilities and feeding technology of integratedmanagement. This project is supported by the project "China Agriculture Research System (CARS-41-01A)",based on the practical engineering application, using the method of combination of theory with experiment, a series key technical problems oflayers temperature and production performance monitoring was studied.The main research contents and results of this paper are as follows:1ã€Design and research of layer wing temperature real-time monitoring deviceA kind of layer surface temperature detection principle and the method was presented,the system selects temperature measurement under the wing, and gives the principle analysis;Areal-time monitoring moduleATmega16as the core and backpack shoulders back typeweredesigned;layers wing body temperature measuring device was developed based on Zigbee, realizesthe temperature of laying hens surface continuous real-time monitoring, the monitoring device can greatly reduce the chickens stress. Experiments prove the device accuracy, reliability and validity.2ã€Model and Study on wing temperature and rectal temperatureTo study the changes of different environmental conditions of layer rectal temperature and wing body temperature, using a genetic programming algorithm to analyze the correlation, established the data of temperature and rectal temperature chicken wing model based on GP, model avoids the chicken wing limited temperature and rectal temperature of cognition, the program automatically search through the model structure, avoiding the inconvenience of a specific pre-determined mathematical expressions. the accuracy of the model and the resultswas tested by the experimental data under different environmental conditions,the results show that the model fitting precision is high, has the ability to automatically search model, strong adaptability, has the value of popularization and application.3ã€Design oflayer individual performance parameter monitoring deviceLayer feed intake measurement module, water drinking measurement module, excretion measurement module, egg measurement module, egg laying time measurement module, a microprocessor module, data storage module, communication module and power supply module weredesigned,the module circuit was integrated in the measurement of single element, and was arranged in the intelligentcoop.The smart coop and its accessories production material was selected reasonably;the structure and key components of the overall planning was designed; the feeding machine system, feed consumption weighing system, rail and walking device, automatic control systemwas designed, Layer was feeding device realized by using the spiral feeding and weighing4ã€Study on filtering and nonlinear correction.calculation method,Aweighing sensorcomposite digital filtering methodwas proposed, sliding mean filter method, the weighted average value filtering method and pulse interference prevention average filtering algorithm were combinated to realize digital filtering;A calibration method of parameters of nonlinear genetic support vector machine based on different production performance parameterswas presented, and Comparedwith RBF neural network algorithm, polynomial regression algorithm.5ã€Layer temperature and production performance parameters monitoring system software platformwas developedSystem used VisualStudio2010+SQL2008as the programming platform to analysis of the data acquisition module, the background database, data organization mode, integrated LINQ technology and multithreading technology, Solved the issues of data acquisition module for laying hens production performance parameters put in storage, storage, utilization, query, ensured the data automatic processing.This paper expounded the principle of using CRC-16to control layers data acquisition error, the CRC algorithm analysis and the design method of c#program of CRC algorithm. Used the software of the log file recordingthe system error, warning and error, as well as to the various operating software. 6ã€Individual experimental studyLayer feed intake,water drinking,excretion,egg,egg laying time dataswere dynamic real-time monitored, curved plotting, production data intuitive analysised;through layerfeeding drinking, excretion behavio underdifferent photoperiod verified the performance of the system, the results show that, the system can dynamically describe the poultry feeding, drinking water, egg laying, the excretion behavior,understanding individual organisms behavior change.The objectof study was layer, the findings can be applied to other poultry individual records. |