Overview

IIoT is Lenovo's industrial intelligence solution. It is an advanced manufacturing industry that transforms to intelligent manufacturing and a heavy- duty and energy-intensive enterprise that is transforming to operational excellence. In data connectivity, system collaboration, and information analysis, through The integration of IT and OT helps the company to optimize production and operation and continuous improvement.

IIoT solves three core problems for intelligent manufacturing

Connect to make the situation clearer

  • Multiple data access forms

    Starting from the status quo, accessing data in different forms in the face of various complex industrial scenes.

  • Multiple protocol conversion capabilities

    From standard protocols to in-place data collection, we can give you an insight into what’s happening on site.

  • Different data transmission purposes

    Field data can be directly processed by the local system platform or sent directly to the cloud.

  • Edge cumputing

    Seamless implementation of edge data analysis and device optimization control, fast response, intelligent object.

Collaboration, making " intelligence " a reality

With deep insight into multi-dimensional analysis of industrial big data, production optimization is no longer just a trend analysis of a certain on-site signal, but more analysis of scenes and dimensions makes industrial operations enter the intelligent era.

The time history database, AI&ML algorithm assisted in depth analysis, integrated historical data, real-time data, analysis and obtained prediction data, so that real-time data is filtered into information, and comprehensive production operation and maintenance information isfiltered into knowledge, which ultimately turns knowledge accumulation into wisdom..

The physical model docks live real-time information, digitally integrates production operations, and enables IT/OT integration to gain a strong engine.

Quickly build on a microservices-based architecture that adapts to business changes more agilely.

多场景信息协同

以工业大数据多维分析深度洞察,生产优化不再只是对某个现场信号的趋势分析,而更多场景、维度的分析使得工业运营进入智能时代。

历史-当前-未来协同

以时序历史数据库、AI&ML算法辅助深度分析,整合历史数据、实时数据,分析获得预测数据, 使现场实时数据过滤为信息,综合生产运维信息过滤为知识,最终使知识积累变为智慧。

物理和信息世界协同

物模型对接现场实时信息,数字化整合生产运营,让IT/OT融合获得强劲引擎。

多系统价值链协同

以基于微服务平台的架构快速构建,更敏捷地适应业务变化。

Analysis, making insight and optimization at your fingertips

  • With various kinds of widgets like Graph, Table, Text, Row, and Dashboard List, Data Insight supports the data visualization within a dashboard. The users can drag and drop the widgets to customize the dashboard. What’s more, it supports different kinds of data source with real-time access & display, and it provides flexible report settings for a better view of data analysis.

    • Data Access and Edge Computing of Field Device
    • Storage and Analysis of Massive Industrial Time Series Data
    • PHM & Status Analysis
    • Quality Management & Yield Optimization
    • OEE Optimization
    • Production analysis & State Identification
    • Quality Inspection & Traceability
    • Consumption Analysis
    • Evaluation & Visualization
IIoT工业智能解决方案技术架构

作为一个工业智能解决方案,IIoT为解决方案的快速交付实施提供了工程可复用包。 基于这个开发包,用户可以低实施成本的快速构建适合自己应用场景的Apps。

Typical application scenarios of IIoT in the industrial field

Comprehensive and in-depth understanding of each enterprise device The device performance management system built with IIoT can provide users with corresponding solutions at various levels of capability.

Metrology audit, IIoT is the starting point for users to establish good energy management and optimization. From passive energy conservation to active energy conservation, IIoT provides technical support for energy management and optimization improvement activities for the corresponding capabilities. On the road of continuous improvement in energy efficiency, IIoT provides users with various means to achieve intelligent energy efficiency with rich machine learning and AI applications.

SPC ( Statistic Process Control ) is a process control tool that relies on mathematical statistics. It can distinguish the normal fluctuations and abnormal fluctuations in the production process for the enterprise science , and find the abnormal conditions in time, so as to take measures to eliminate the anomalies, restore the stability of the process, and achieve the purpose of reducing the quality cost and improving the product quality .

Equipment cycle management & predictive maintenance

Comprehensive and in-depth understanding of each enterprise device The device performance management system built with IIoT can provide users with corresponding solutions at various levels of capability.

Energy management to achieve cost reduction and efficiency

Metrology audit, IIoT is the starting point for users to establish good energy management and optimization. From passive energy conservation to active energy conservation, IIoT provides technical support for energy management and optimization improvement activities for the corresponding capabilities. On the road of continuous improvement in energy efficiency, IIoT provides users with various means to achieve intelligent energy efficiency with rich machine learning and AI applications.

SPC statistical process control to improve product quality

SPC ( Statistic Process Control ) is a process control tool that relies on mathematical statistics. It can distinguish the normal fluctuations and abnormal fluctuations in the production process for the enterprise science , and find the abnormal conditions in time, so as to take measures to eliminate the anomalies, restore the stability of the process, and achieve the purpose of reducing the quality cost and improving the product quality .