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ISCF WAVE 1 AGRI TECH: Robochick: an automonous platform for data-collection in poultry sheds

ISCF WAVE 1 AGRI TECH：Robochick：用于家禽舍数据收集的自动化平台

基本信息

批准号：
BB/R021589/1
负责人：
Theodorus Demmers
金额：
$ 31.07万
依托单位：
Royal Veterinary College
依托单位国家：
英国
项目类别：
Research Grant
财政年份：
2018
资助国家：
英国
起止时间：
2018 至无数据
项目状态：
已结题

来源：
https://gtr.ukri.org/projects?ref=BB%2FR021589%2F1
关键词：
ISCF WAVE AGRI TECH Robochick

项目摘要

The overall objective of this project is to demonstrate the feasibility of a mobile robotic system for data collection in commercial poultry sheds. The technical approach is to first establish the functional specifications of the system for animal welfare-friendly deployment, then to adapt the Ross Robotics Ltd (RRL) modular robotic platform such that it is capable of accurate autonomous navigation and environmental sensing in a populated shed. A select range of sensors will be calibrated and integrated into a multi-sensor module to fuse different environmental parameters into indices of microclimate quality (both aerial and litter condition). Finally we will evaluate the integrated mobile data-collection system in a commercial setting against key production indicators and identify correlations that should exist with other welfare sensing systems, e.g. Fancom Eyenamic. This technical approach follows a similar modus operandi as recent EU PLF projects that use the "living lab" methodology. The Applied Poultry Ltd (APL) commercial facilities represents the living lab in this feasibility study. The project will run through the following work packages:WP1: Bird-robot interaction study. A scientific study will be carried out using facilities at the RVC to define the link between the robot operating parameters and welfare indicators including: vocalisations level; startle response (distance moved, jumping/wing flapping); frustration and vigilance (reluctance to move, head shaking); latency to return to normal behaviour. This essential work will run from M1-M7. In M7 this WP will deliver a report outlining the methodology and functional specifications for the robot during commercial deployment. This delivery also forms the first milestone of the project;WP2: Adaptation of physical platform and sensor integration. During this WP RRL's mobile robotic modular platform will be optimised for operation within a poultry shed. This will include the evaluation of approaches for route-planning and dynamic obstacle avoidance as well as sensor module design and integration. Two research prototypes will be available, one at the start of the project for the bird-robot interaction studies and one by M10 for commercial trials. This latter deliverable forms the second milestone of the project;WP3: Microclimate multi-sensor development. A key objective is to develop an environmental measurement system capable of accurately evaluating the microclimate quality in the bird occupied zone. After a comprehensive horizon scanning review of animal sensing, environmental sensors are to be evaluated for accuracy, response, drift, price-point and physical robustness. Sensors will include temperature, humidity and anemometry, particle counters for dust measurement and sensors for CO2, NH3 and VOC measurement. Initial investigations into birds' physical condition will be carried using an IRT-based sensing approach. This WP will deliver a state-of-the-art review and functional specifications for sensor module integration;WP4: Commercial impact and Feasibility Findings. From M10 to M15, a scientific study will be carried out on the impact of the robot on commercial production using APL's poultry sheds. The operation of the robot within the shed will be monitored by a skilled stockman using a ceiling-based vision monitoring system. The impact of the robot will be assessed against key production variables (e.g. % mortality, % culled, live-weight trend, FCR, EPEF). The data from the robot will be correlated with data from Eyenamic (Fancom bv) and the stockman's expert viewpoint. An assessment of RoboChick's data value measured against the system's capacity and constraints will be conducted and a commercial evaluation report (deliverable);WP5: Business Case study. The deliverables are an exploitation roadmap document, an early stage exploitation report, and a report on the economics of the final envisaged system. A dissemination event will be held at HAU.

该项目的总体目标是证明在商业家禽棚内收集数据的移动机器人系统的可行性。技术方法是首先建立系统的功能规范，用于动物福利友好型部署，然后调整罗斯机器人有限公司（RRL）的模块化机器人平台，使其能够在人口稠密的棚子中进行精确的自主导航和环境感知。一系列选定的传感器将被校准并集成到一个多传感器模块中，以将不同的环境参数融合到小气候质量指数中（包括空中和凋落物状况）。最后，我们将根据关键生产指标评估商业环境中的综合移动数据收集系统，并确定与其他福利传感系统（如Fancom Eyenamic）应该存在的相关性。这种技术方法与最近使用“活体实验室”方法的欧盟PLF项目类似。应用家禽有限公司（APL）的商业设施代表了本可行性研究中的生活实验室。该项目将通过以下工作包运行：WP1：鸟-机器人交互研究。将使用RVC的设施进行科学研究，以确定机器人操作参数与福利指标之间的联系，包括：发声水平；惊吓反应（距离移动，跳跃/扑翼）；沮丧和警惕（不愿移动，摇头）；恢复正常行为的延迟。这项重要的工作将从m1到m7进行。在M7中，该工作小组将提交一份报告，概述机器人在商业部署期间的方法和功能规范。这次交付也构成了项目的第一个里程碑；WP2：物理平台适配与传感器集成。在此期间，RRL的移动机器人模块化平台将在家禽棚内进行优化操作。这将包括路线规划和动态避障方法的评估，以及传感器模块的设计和集成。两个研究原型将可用，一个在项目开始时用于鸟与机器人的相互作用研究，另一个由M10用于商业试验。后一种可交付成果构成了项目的第二个里程碑；WP3：微气候多传感器发展。一个关键的目标是开发一个能够准确评估鸟占区小气候质量的环境测量系统。在对动物传感进行全面的水平扫描审查之后，环境传感器将被评估其准确性、响应、漂移、价格点和物理稳健性。传感器将包括温度，湿度和风速测量，粉尘测量的颗粒计数器和二氧化碳，NH3和VOC测量的传感器。将使用基于红外光谱的传感方法对鸟类的身体状况进行初步调查。该WP将为传感器模块集成提供最先进的审查和功能规范；WP4：商业影响和可行性调查结果。从M10到M15，将使用APL的家禽棚对机器人对商业生产的影响进行科学研究。机器人在棚内的操作将由熟练的饲养员使用基于天花板的视觉监控系统进行监控。机器人的影响将根据关键的生产变量（如死亡率、剔除率、活重趋势、FCR、EPEF）进行评估。来自机器人的数据将与来自Eyenamic （Fancom bv）的数据和股票经纪人的专家观点相关联。将根据系统的能力和限制对RoboChick的数据价值进行评估，并进行商业评估报告（可交付）；WP5：业务案例研究。可交付成果包括开发路线图文档、早期开发报告和最终设想系统的经济报告。将在大学举行一个宣传活动。