Intelligent mobile agent for the Industrial Internet of Things workforce
Intelligent mobile agent for the Industrial Internet of Things workforce
批准号:
491521-2015
负责人:
BrundelRe, Riccardo
金额:
$1.82万
依托单位国家:
加拿大
项目类别:
Applied Research and Development Grants - Level 1
财政年份:
2015
资助国家:
加拿大
项目状态:
已结题
起止时间:
2015-01-01 至 2016-12-31
中文摘要
Conexttere为拥有现场工作人员的公司提供移动信息管理解决方案。他们提供了
“情报”现场工作人员需要执行他们的特定任务,确保将适当的数据传达给
在合适的时间安排合适的员工。使用他们的系统,为现场工作人员提供关键任务
指导:安全和法规遵从性;设备维护、操作程序;
故障排除、维修和工作流程优化。
越来越多的数据可以包括来自设备和所谓的工业互联网的实况流
事情‘。这意味着将来自中央存储库的静态数据与来自内容提供商和
传感器。分析和机器学习可以优化输入到员工个人的数据,因此,
改善他们的决策流程和工作效率。
在以下情况下,传统数据管理体系结构会使团队难以访问适当的数据
他们最需要它--例如在具有挑战性的天气条件下。Conexttere的系统旨在
克服这些障碍,有效地向外地工作人员提供相关的正确信息。
除了如上所述管理复杂的数据内容和数据流外,上下文还提供数据和
采用适合现场工作人员数字形式的格式的指南,可以是智能手表、智能手机或
平板电脑,以及工人的经验水平。该项目的成果之一将是一个原型
先进、响应迅速、便携的前端用户体验。
拟议项目的范围是多学科的,将涉及学院的许多优势。
Conexttere将受益于阿尔冈昆公司在用户体验设计、无线通信、软件
开发、网络管理和从互联设备获取实时数据。
英文摘要
contextere provides mobile information curation solutions to companies with field workers. They deliver the
'intelligence' field crews need to perform their specific tasks, ensuring that appropriate data is conveyed to the
appropriate worker at the right time. Using their system, field workers are provided the mission-critical
guidance for: safety and regulatory conformance; equipment maintenance, operating procedures;
troubleshooting, repairs and workflow optimization.
Increasingly, data can include live streams from equipment and from the so-called 'Industrial Internet of
Things'. This means integrating static data from central repositories with live data from content providers and
sensors. Analytics and machine-learning can optimize the data input to the individual worker and, as a result,
improve their decision-making processes and productivity.
Traditional data management architectures make it difficult for appropriate data to be accessed by teams when
they need it the most - for instance under challenging weather conditions. contextere's system is designed to
overcome such barriers and to efficiently support the field worker with the right information in context.
In addition to managing complex data content and data flow as described above, contextere delivers data and
guidance in a format appropriate to the field worker's digital form factor, be it a smart watch, smart phone or
tablet, as well as to the worker's experience level. One of the outcomes of this project will be a prototype of an
advanced, responsive and portable User-Experience front-end.
The scope of the proposed project is multi-disciplinary and will touch upon many of the College's strengths.
contextere will benefit from Algonquin's experience in UX design, wireless communications, software
development, network administration and live data sourcing from connected equipment.
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