MySTに保存

エッジ・コンピューティング

概要
ソリューション
HW評価ツール
ドキュメント
ツール & ソフトウェア
主要製品
Condition Monitoring and Predictive Maintenance systems include a several smart sensor nodes in the equipment, which are directly connected to the cloud directly or connected via intermediaryate gateways. Computation is performed inside the smart sensor or on the local microprocessor, either in gateways or in the cloud, depending on the expected latency and on how far the raw data and processed data are sent over connectivity. Edge processing occurs when the computation of data is carried out directly in the smart sensor node or at the gateway, in order to save power consumption and ensure data is kept confidential, allowing companies to analyze critical information at the node level and to reduce anomaly detection time.  Combining edge and cloud computing technologies could help tpo develop predictive maintenance techniques and enhance their efficiency and effectiveness.  Indeed, working on data at the edge, close to the sensor, allows companies to detect machine deterioration at the node level and to take immediate and informed corrective actions, thus preventing further damage and machine failures. Long-term analysis and actions to determine trends and optimize local analysis models can be managed on the cloud, enabling more complex analytics on large amounts of pre-processed data coming from multiple nodes. Edge processing offers the following benefits:
  • Confidentiality: data is not sent to the cloud and is locally stored on the device or the equipment
  • Cost reduction: latency and throughput of high-volume time-series asset data is significantly optimized. Reducing the amount of useless machine data sent and stored in the cloud leads to significant benefits, as it enables real-time distributed applications and eliminates the need for complex systems
  • Low latency: minimal delay in the repair of equipment is essential for assets which are mission-critical. 
To easily implement Predictive Maintenance algorithms on MCU and MPU edge devices, STM32 Tools were enriched with the STM32Cube. AI ecosystem, extending STM32CubeMX software capabilities with the automatic conversion of pre-trained Neural Networks. STM32Cube. AI supportsing several deep learning frameworks and includes optimized libraries which can be used to implement AI  algorithms in embedded applications level. STMicroelectronics also provides a complete offer of microprocessors and optimized Power Management solutions for industrial gateways as key enablers of aggregated processing in the field. Software development kits and cloud applications for Edge and Cloud processing (starter kits) as well as AI studio tools, like STM32Cube. AI software and code examples, are included our function packs and solutions.
Read more

Benefits of Edge processing

  • Confidentiality: data is not sent to the cloud and is locally stored on the device or the equipment 
  • Cost reduction: latency and throughput of high-volume time-series asset data is significantly optimized. Reducing the amount of useless machine data sent and stored in the cloud leads to significant benefits, as it enables real-time distributed applications and eliminates the need for complex systems 
  • Lower latency: minimal delay in the repair of equipment is essential for assets which are mission-critical.

AI ecosystem for STM32 MCUs and MPUs

To easily implement Predictive Maintenance algorithms on MCU and MPU edge devices, STM32 Tools were enriched with the STM32Cube. AI ecosystem, extending STM32CubeMX software capabilities with the automatic conversion of pre-trained Neural Networks. STM32Cube. AI supportsing several deep learning frameworks and includes optimized libraries which can be used to implement AI  algorithms in embedded applications level. 

STMicroelectronics also provides a complete offer of microprocessors and optimized Power Management solutions for industrial gateways as key enablers of aggregated processing in the field. Software development kits and cloud applications for Edge and Cloud processing (starter kits) as well as AI studio tools, like STM32Cube. AI software and code examples, are included our function packs and solutions.

Picture Solution
A Condition monitoring cloud gateway solution, using smart sensor nodes and edge processing
Vibration, ultrasound and environmental sensor nodes for condition monitoring with Wi-Fi and cellular connectivity to cloud applications
SL-PREDMNT-S2C
量産中
A Condition monitoring cloud gateway solution, using smart sensor nodes and edge processing
Vibration, ultrasound and environmental sensor nodes for condition monitoring with Wi-Fi and cellular connectivity to cloud applications
SL-PREDMNT-S2C
量産中

All tools & software

    • 製品型番
      ステータス
      概要
      タイプ
      サプライヤ

      AI engineering services

      量産中

      Implement artificial intelligence for industrial applications with STM32Cube.AI on STM32 microcontrollers

      エンジニアリング・サービス Lenord + Bauer
      AI engineering services

      概要:

      Implement artificial intelligence for industrial applications with STM32Cube.AI on STM32 microcontrollers
    • 製品型番
      ステータス
      概要
      タイプ
      サプライヤ

      DSH-PREDMNT

      量産中

      Cloud based web application for condition monitoring and predictive maintenance

      評価ツール用ソフトウェア ST
      DSH-PREDMNT

      概要:

      Cloud based web application for condition monitoring and predictive maintenance
    • 製品型番
      ステータス
      概要
      タイプ
      サプライヤ

      FP-AI-NANOEDG1

      量産中

      STM32Cube向け人工知能(AI)状態モニタ用ソフトウェア・ファンクション・パック

      STM32Cube拡張パッケージ ST
      FP-AI-NANOEDG1

      概要:

      STM32Cube向け人工知能(AI)状態モニタ用ソフトウェア・ファンクション・パック

      FP-CLD-AZURE1

      量産中

      STM32Cube function pack for IoT sensor node with telemetry and device management applications for Microsoft Azure cloud

      STM32 ODE Function Pack SW ST
      FP-CLD-AZURE1

      概要:

      STM32Cube function pack for IoT sensor node with telemetry and device management applications for Microsoft Azure cloud

      Nanoedge AI™

      量産中

      NanoEdge AI™ by Cartesiam is the firstMachine Learning Software specifically developed to entirely run on microcontrollers.

      パートナー製 STM32用組込みソフトウェア Cartesiam
      Nanoedge AI™

      概要:

      NanoEdge AI™ by Cartesiam is the firstMachine Learning Software specifically developed to entirely run on microcontrollers.

      Octonion Machine Intelligence SW expansion for STM32Cube

      量産中

      Software package for vibration analysis applications for industrial machine self-inspection and condition monitoring powered by EdgeAI.

      パートナー製 STM32用組込みソフトウェア Octonion
      Octonion Machine Intelligence SW expansion for STM32Cube

      概要:

      Software package for vibration analysis applications for industrial machine self-inspection and condition monitoring powered by EdgeAI.

      STM32CubeMP1

      量産中

      STM32CubeMP1 Package for STM32MP1 series (HAL, Low-Layer APIs and CMSIS, OpenAMP for Inter processor communication, and examples running on ST boards)

      STM32Cube MCU/MPUパッケージ ST
      STM32CubeMP1

      概要:

      STM32CubeMP1 Package for STM32MP1 series (HAL, Low-Layer APIs and CMSIS, OpenAMP for Inter processor communication, and examples running on ST boards)

      X-CUBE-AI

      量産中

      AI expansion pack for STM32CubeMX

      STM32Cube拡張パッケージ ST
      X-CUBE-AI

      概要:

      AI expansion pack for STM32CubeMX

      X-LINUX-PREDMNT

      量産中

      STM32 MPU OpenSTLinux Expansion Pack for Predictive Maintenance applications

      STM32 MPU OpenSTLinux Expansion Packages ST
      X-LINUX-PREDMNT

      概要:

      STM32 MPU OpenSTLinux Expansion Pack for Predictive Maintenance applications
    • 製品型番
      ステータス
      概要
      タイプ
      サプライヤ

      Unico-GUI

      量産中

      Linux / Mac OS X / Windows用MEMSセンサ評価キット・ソフトウェア・パッケージ

      Sensor Software Development Tools ST
      Unico-GUI

      概要:

      Linux / Mac OS X / Windows用MEMSセンサ評価キット・ソフトウェア・パッケージ