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IIC - Track and Trace Testbed
技术
- 基础设施即服务 (IaaS) - 其他
适用功能
- 维护
用例
- 资产生命周期管理
- 资产跟踪
挑战
工厂系统可以在一米内检测工具的位置；误用工具会导致严重事故或伤害；许多工业和消费品的生产需要严格的工作 - 精确到用于拧紧螺钉的力。目标管理制造、维护和工业环境中的智能手持工具
客户
未公开
解决方案
*这是目前正在进行的 IIC 测试平台。*成员参与者Bosch、Cisco、National Instruments 和 TechMahindra MARKET SEGMENT Industrial Manufacturing；电动工具车队管理特点资产管理和工作管理；与工厂制造系统集成 测试台简介Track and Trace 测试台将工业互联网带到了工厂车间。目标是管理制造和维护环境中的手持式电动工具。这种“管理”涉及有效地跟踪和跟踪这些工具的使用情况，以确保它们的正确使用、防止它们的误用以及收集关于它们的使用和状态的数据。今天的工厂非常复杂，需要严格的工作——精确到用于拧紧螺钉的力。 Track and Trace 中的工具将能够确定其精确位置和用途，因此将能够确定完成任务所需的力量和工作。此外，如果一个工具识别出它被误用，它会立即断电以避免事故或伤害。最后，在为期两年的项目中，测试平台参与者将寻求将工具的定位微调到 30 厘米，理想情况下降至 5 厘米。目前，准确度约为一米 - 一个大到足以允许出错的差距。 Track and Trace 的这些功能将有助于提高所生产商品的安全性和质量，并提高制造效率。在为期两年的项目中，四名工业互联网联盟成员将把他们的专业知识用于测试平台。博世正在提供必要的软件；思科正在处理精确位置识别功能； National Instruments 将互连电动工具； TechMahindra 负责应用程序编程。
收集的数据
Asset Location, Equipment Status, Material Tracking, Production Efficiency, Tracking Of People
运营影响
相关案例.
Case Study
IoT Applications and Upgrades in Textile Plant
At any given time, the textile company’s manufacturing facility has up to 2,000 textile carts in use. These carts are pushed from room to room, carrying materials or semi-finished products. Previously, a paper with a hand-written description was attached to each cart. This traditional method of processing made product tracking extremely difficult. Additionally, making sure that every cart of materials or semi-finished products went to its correct processing work station was also a problem. Therefore, the company desired an intelligent solution for tracking assets at their factories. They also wanted a solution that would help them collect process data so they could improve their manufacturing efficiency.
Case Study
Goldcorp: Internet of Things Enables the Mine of the Future
Goldcorp is committed to responsible mining practices and maintaining maximum safety for its workers. At the same time, the firm is constantly exploring ways to improve the efficiency of its operations, extend the life of its assets, and control costs. Goldcorp needed technology that can maximize production efficiency by tracking all mining operations, keep employees safe with remote operations and monitoring of hazardous work areas and control production costs through better asset and site management.
Case Study
Buoy Status Monitoring with LoRa
The Netherlands are well-known for their inland waterways, canals, sluices and of course port activities. The Dutch Ministry of Infrastructure indicates that there are thousands of buoys and fixed items in and near water environments that would profit from IoT monitoring. One of the problems with buoys for example, is that they get hit by ships and the anchor cable breaks. Without connectivity, it takes quite some time to find out that something has happened with that buoy. Not to mention the costs of renting a boat to go to the buoy to fix it. Another important issue, is that there is no real-time monitoring of the buoys at this moment. Only by physically visiting the object on the water, one gains insight in its status.
Case Study
IoT Based Asset Tracking System
The existing system used by the customer could only track a few thousand assets and was able to generate only a few standard set of reports. As the number of assets tracked grew exponentially, the system started to break at the seams. The Tracking devices were from different manufacturers following different protocols. There was no proper integration among the devices to send instant alerts. There are thousands of tracking devices spread across multiple geographies, that are moving. The configuration and troubleshooting of these devices incurred heavy costs, which was a logistics challenge. The existing system did not provide sophisticated Analytics, Business Intelligence and Insights from the data
