Software AG > 实例探究 > Adding intelligence to refrigerated transport

Adding intelligence to refrigerated transport

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公司规模
11-200
地区
  • Pacific
国家
  • Australia
产品
  • Mitsubishi’s Mitsi-TRACK telematics
  • Sensor-Technik Wiedemann (STW) telematics controller
  • Cumulocity IoT platform
技术栈
  • Internet of Things
  • Real-time monitoring
  • Telematics
实施规模
  • Enterprise-wide Deployment
影响指标
  • Cost Savings
  • Productivity Improvements
  • Waste Reduction
技术
  • 分析与建模 - 实时分析
  • 处理器与边缘智能 - 嵌入式和边缘计算机
适用行业
  • 农业
  • 食品与饮料
  • 运输
适用功能
  • 物流运输
  • 质量保证
用例
  • 车队管理
  • 预测性维护
  • 实时定位系统 (RTLS)
服务
  • 软件设计与工程服务
  • 系统集成
关于客户
Quality Transport Refrigeration Services (QTRS) has been providing high-quality refrigeration products, repairs and services to the refrigerated transport industry across Victoria, Australia since 2007. QTRS is the sole Australian distributor for Mitsubishi Heavy Industries Thermal Systems, Ltd. (MTH) Refrigeration for Trucks and Trailers equipment and is the only provider of built-in real-time monitoring for Mitsubishi refrigeration units for Trucks & Trailers in Australia. QTRS aims to differentiate its product and appeal to smaller or bespoke operators by using telematics and the Internet of Things to build real-time monitoring into all the Mitsubishi units that it sells and services.
挑战
Refrigerated transport is essential in Australia, and without it much of its agriculture, food processing, preservation and distribution, and even the pharmaceutical sector, would not be able to function properly. The global market for refrigeration is increasing, partly due to consumers becoming more health-conscious and wanting more fresh, healthy food, much of which is perishable. Producers must adapt to overcome logistics constraints and, at the same time, reduce the level of waste in the food industry. Nearly all of the produce eaten in Australia is grown there and Australia produces about three times as much as is consumed in the country. Each region has a different season, so seasonal produce has to be trucked from the growing region to the consumers in other regions. Refrigeration therefore is critically important to the Australian (and global) food chain. In the 1990’s, a shake-up in the transportation industry led to two big trucking companies dominating refrigeration. Because they had to squeeze costs down, they chose to no longer hire/train drivers to work with refrigeration units, so today’s refrigerated truck drivers have little or no experience with the units. QTRS fills that gap.
解决方案
QTRS decided to use telematics and the Internet of Things to build real-time monitoring into all the Mitsubishi units that it sells and services. Refrigeration units have many sensors—from monitoring the cargo being carted temperatures to monitoring the drive train of the cooling unit. Some can even monitor the truck’s cornering and braking for insurance purposes. As sole supplier of MHI in Australia, QTRS knew it needed a telematics system to match. With limited and outdated technologies available, QTRS wanted its own system. It hired a recent computer science graduate who had the ideas and the skills for the job and, within a short period, QTRS was able to diagnose refer issues live, contact drivers and resolve issues “live.” A Sensor-Technik Wiedemann (STW) telematics controller was deployed to provide the data, and its partner Cumulocity IoT provided the IoT platform. “We had the STW box, but it was only using 5% of its potential. With Cumulocity IoT we could open up that potential,” said Oxley-Boyd. Cumulocity IoT had all the rich features QTRS was looking for, so much so that it is using the platform to further develop new solutions with the data, such as monitoring total asset – truck ECU communication, tire pressure, anti-lock braking, etc.
运营影响
  • Avoids breakdown of refrigeration units
  • Increases sales of refrigeration units
  • Prevents spoiled cargoes for producers, operators
  • Increases profits for operators by saving wasted produce
数量效益
  • Saved thousands of dollars’ worth of cucumbers and melons in one instance
  • Saved a strawberry producer a $180,000 loss in another instance

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