Li-Battery Material From Manufacturing to Intelligent Manufacturing

Introduction:

The time is right for intelligent manufacturing! ONGOAL TECH has released the "ON DREAM Intelligent Manufacturing Cloud," empowering the transformation of battery material production through three key values.

 

-Integrated intelligent manufacturing approach, enabling multi-system construction supported by a unified platform.

-Harnessing the power of data to drive business upgrades.

-Customized development of production process management, empowering intelligent manufacturing upgrades.

 

On June 6-7, the 2023 Lithium Battery Materials Conference with the theme "Breaking Through the Mist" was held in Chengdu, Sichuan Province, China. Kevin Yang, General Manager of ONGOAL TECH Software BU, delivered a keynote speech titled "Battery Materials: The Time for Intelligent Manufacturing."

 

 

While the automation level of various production stages in the development of power batteries has significantly improved, there are still numerous challenges to be solved when it comes to "intelligent manufacturing."

 

In particular, for cathode& anode materials, there are multiple production stages involving complex equipment, which intensifies the difficulty of implementing intelligent solutions. Challenges include difficulties in interoperation and compatibility between different automated equipment, real-time and comprehensive data collection and analysis, slow response to anomalies, opaque production information, and confusion in batch traceability.

 

 

Kevin Yang stated that based on ONGOAL TECH's 15 years of practical experience serving over 700 customers, they have created an intelligent manufacturing product, the " ON DREAM Intelligent Manufacturing Cloud." This product aims to support the transformation of battery material production operations towards integration, digitization, and intelligentization, with three major values empowering the transition.

 

Integrated intelligent manufacturing approach:

Realizing multi-system construction supported by a unified platform

 

The platform construction follows the principles of standardization, achieving unified organization, design, standards, and platform. Under the integrated intelligent manufacturing approach, the combination of multiple products such as MES, ERP, CRM, SCM, SRM, and SCADA can be achieved, allowing for multi-system construction supported by a unified platform.

 

Harnessing the power of data to drive business upgrades

 

The ON DREAM Intelligent Manufacturing Platform explores and applies the power of data, achieving data asset management and business digitization. Data integration is continuous throughout the process, from comprehensive data collection through the SCADA system, providing real-time dynamic insights into equipment/production line conditions. This closed-loop system, from data collection to display monitoring, supports business upgrades, operational management, and strategic decision-making.

 

Customized development of production process management, empowering intelligent manufacturing upgrades

 

To meet different industry requirements such as production capacity structure, personnel preferences, and environmental standards, the ON DREAM Intelligent Manufacturing Cloud platform enables flexible combinations and instant expansion. Customized development of production process management transforms extensive management into refined management. Simultaneously, it fully integrates various third-party industrial systems, avoiding duplication of investment through one-time construction and iterative upgrades.

 

 

The introduction and implementation of the " ON DREAM Intelligent Manufacturing Cloud" is becoming the core content of ON DREAM Technology's new solution. Not long ago, ONGOAL TECH's professional software team officially established the Software BU, leveraging a simple and efficient organizational structure to unleash tremendous energy and provide sustained driving force for ONGOAL TECH's innovative development.

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Automated solutions for battery slurry production
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