物聯網應用全貌以及微軟全球案例
TRANSCRIPT
“ ”
由實體物件組成的一個網路,
透過嵌入式科技去與外部環境或內部狀態溝通及互動.
(The network of physical objects that contain
embedded technology to communicate and interact
with their internal states or the external
environment.)
Source: Gartner
Vehicle Tracking Device Cameras Power Meter Load Meter Smoke Fire Alarms Humidity Sensor Flow Meter Occupancy Sensor Temperature Sensor
INTELLIGENT DEVICES Machine Controller
Vehicle Tracking Smart Grid General Equipment Retail Kiosk Fire Detection Healthcare Smart Building Automation Digital Advertising Smart Home Automation
運輸業 零售業 工業4.0 健康照護 安全與監控 能源業 智慧家庭 智慧城市
監控
Data collection and alerts
Asset tracking & Geo-fencing
Preventive maintenance
Usage based billing
遠端操作
Securely log into remote devices and products to diagnose issues
Remote servicing - diagnose, and repair problems
內容發佈
Automate software deployment to assets
Distribute files to devices.Content includes asset-specific files, doc, ads
雲端物聯網平台
設定管理
Store and access asset configurations
Compliance Management
Telematics
M2M GatewayNETWORK
Create the Internet of Your Thingswww.InternetofYourThings.com
挑戰
富士通科技是全球第四大IT服務供應商, 在全球100多個國家擁有16萬名員工.
富士通希望改善農夫生產力, 透過資料分析來提高人工授精成功率. 同時透過偵測牛隻的健康問題來減少損失.
o 提高人工授精成功率12%, 最高達31%
o 透過手機提供警示及資料分析, 減少照護牛隻人力作業成本
o 轉型 協助農夫預測與管理公牛及母牛的出生率
o 減少成本 可以偵測8~10 種牛隻疾病
效益解決方案
富士通由研究中發現牛隻在發情前16個小時會開始頻繁的踱步.
於是他們設計了一個堅固的計步器(電池可使用五年) 去收集牛隻行走的資料, 並且將資料送到微軟雲端, 透過機器學習預測最佳的人工授精時間, 甚至可以影響牛隻性別.
除此之外, 如果偵測到牛隻生病了, 系統也會直接發送簡訊到農夫手機警示.
FUJITSU
牛聯網: 畜牧業如何利用物聯網技術進行轉型
增加收益減少成本
提高作業效率
• 連結裝置與資料流
• 商業規則與警示
• 最佳化資源運用
產生商業智慧
• 資料分析與視覺化
• 透過大資料技術做預測型分析或是發掘
資料規則
• 相關資料關連與整理
提供新的商業模式
• 透過洞見提供新的商業模式
• 擴展到近似的商業領域
Predictive
Maintenance
資料分析, 處理,
提供價值
HDInsight Power BI
Machine Learning
Command and Control
你有連網的物聯網裝置
Plant Floor
Things
Supply Chain
ThingsBack Office
Things
Basic Sensors Intelligent Devices
資料儲存…
SQL Databases
Blob Storage
Table Storage
External Storage
DocumentDB
資料收集, 溝通模式…
Command and
Control
Event Hub (Service Bus)
Field Gateway
Device 連結 與管理
Dev
ices
RTO
S, L
inu
x, W
ind
ow
s, A
nd
roid
, iO
S
Protocol Adaptation
Cloud Gateway
Event Hubs&IoT Hub
Field Gateway
Protocol Adaptation
Azure 機器學習 提供整套應用機器學習的工具及平台
視覺化的建立資料模型工具 (Web-based)、幾乎不必特別撰寫程式
能匯入來自各處的資料
提供事先實作好的學習演算法 (可調參數)
可使用 Python 或 R 來自訂操作
訓練好的模型可直接變成 Web Service 易於整合
使用 Azure 的運算資源來進行計算,可處理巨量資料
http://www.slideshare.net/databricks/spark-whats-new-whats-cominghttp://www.slideshare.net/databricks/spark-whats-
new-whats-coming
Microsoft Azure IoT services
Benefits Improve Efficiency Enable Innovation Transform your business
CapabilityAsset Monitoring Operational Intelligence and Efficiencies Advanced Analytics
Microsoft Azure IoT services
Heterogeneous client agents: agent libraries reduce the burden of connecting your disparate line of business assets.
Azure Event Hubs: a scalable service for ingesting and storing data from line of business assets and sensors.
Azure Intelligent Systems Service: connect line of business devices, harness machine generated data, and pull disparate data into the cloud.
Azure Notification Hubs: a scalable mobile push notification engine for quickly sending millions of messages to iOS, Android, Windows, or Kindle devices
Azure Stream Analytics: A real-time distributed stream computation service that provides low latency, scalable processing of streaming data in the cloud with an enterprise grade service level agreement (SLA).
Azure Machine Learning: harness machine generated data with powerful cloud-based predictive analytics.
HDInsight: a Hadoop distribution powered by the cloud to process unstructured or semi-structured data from web clickstreams, social media, server logs, devices and sensors, and more.
Azure Machine Learning Studio: a collaborative visual development environment that enables you to build, test, and deploy predictive analytics solutions that operate on your data.
Power BI for Office 365: a self-service analytics tool for all your data.