Developing automated data collection and communication technologies for the forest sector in British Columbia

新喀里多尼亚学院和Ascentech正在合作开展一个应用研究项目，为不列颠哥伦比亚省的林业部门开发自动数据收集和通信技术。Ascentech是一家总部位于不列颠哥伦比亚省乔治王子的软件公司，目前正在开发一个集成的模块化森林业务数据分析平台，该平台将允许其林业客户跟踪和分析重要数据，如设备生产率，燃料消耗和收获量。该软件将为不列颠哥伦比亚省和加拿大林业部门带来一项重要的创新，并将有助于提高公司的生产力，降低成本和提高安全性。该项目将专注于研究新兴的传感器和卫星通信技术，并将合适的技术集成到Ascentech的森林管理系统中。CNC和Ascentech将合作使用这些技术自动收集以下工业森林应用的数据：（i）设备和人员位置;（ii）设备生产率;（iii）燃料消耗;以及（iv）其他重要数据。将评价潜在技术在工业森林应用中的适用性，特别是在通信有限的偏远山区环境中。参与该项目的大学生将围绕以下方面发展重要的创新技能：㈠在具体工业应用中使用新兴卫星和传感器技术; ㈡基于技术的系统设计和实施; ㈢ ㈣自动化数据收集和通信; ㈤业务数据分析。

The College of New Caledonia and Ascentech are collaborating on an applied research project to develop automated data collection and communication technologies for the forest sector in British Columbia. Ascentech is a software company based in Prince George, BC, and is currently developing an integrated, modular forest business data analytics platform that will allow their forestry clients to track and analyze important data such as equipment productivity, fuel consumption and harvested volumes. This software will introduce an important innovation to the BC and Canadian forest sector and will help improve company productivity, reduce costs and improve safety.This project will focus on researching emerging sensor and satellite communications technologies and integrating suitable technologies into Ascentech's forest management system. CNC and Ascentech will work together to use these technologies to automatically collect data on the following industrial forest applications: (i) equipment and personnel locations; (ii) equipment productivity; (iii) fuel consumption; and (iv) other important data. Potential technologies will be evaluated for their suitability in an industrial forest application, especially in remote mountainous environments with limited communications. College students involved in this project will develop important innovation skills around: (i) using emerging satellite and sensor technologies in specific industrial applications; (ii) technology-based system design and implementation; (iii) (iv) automated data collection and communication; and (v) business data analytics.