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Intelligent Inspection Robot

-24/7 Battery warehouse patrol
– Equipped with multi-source sensors and cameras to monitor safety hazards and 
provide alarm feedback
– Autonomous return to charging station at low battery level with mission resumption
 

Emergency Response Robot

– Replacing rescue personnel in handling thermal runaway incidents in complex 
environments
– Real-time and accurate feedback on handling status
– Safety management system ticket direct access
Source-Grid-Load-Storage synergistic regulation via smartenergy management system, establishing a tri-dimensional value system 
for carbon neutrality, high-efficiency energy economics, and sustainable industrial development.
 
– Leverage peak-valley arbitrage and self-consumption of renewable energy to reduce energy costs and enhance investment returns
 
– Integrating multi-energy complementarity and intelligent control technologies to break through the limitations of traditional power system silos, while leveraging 
energy storage regulation and demand-side response capabilities to enhance grid resilience
 
– Increase renewable energy penetration, optimize the energy mix, and achieve energy self-sufficiency alongside low-carbon transition

The feedstock for EoL lithium-ion battery recycling facilities is highly heterogeneous, comprising mixed battery types such as power batteries (e.g., EV traction batteries), consumer electronics (3C) batteries, and energy storage system (ESS) batteries. The integrated sorting system employs dynamic identifica tion,  precision classification, and high-efficiency execution to enable rapid sorting and processing of these complex battery streams

By leveraging digital and intelligent technologies—including IoT, big data analytics, AI, and industrial robotics—we enable full digital transformation of lithium-ion battery recycling facilities. This integration bridges IT systems (Information Technology) with OT controls (Operational Technology), achieving seamless data connectivity and operational alignment to meet advanced digitalization and intelligent infrastructure.

Advanced Planning and Scheduling(APS)

– Advanced algorithm for automatic schedule generation

– Dynamic rescheduling and resource reallocation

Panoramic Digital Twin Cockpit System(CMM)

– Predictive maintenance‌

– Strategy monitoring

– Virtual simulation troubleshooting

Manufacturing Execution System(MES)

– Process management

– Feeding/Output mangament

– Group management

– Support flexible manufacturing

Warehouse Management System(WMS)

– Warehouse operational process automation

– Industrial identification and automation-assisted equipment‌

Develop carbon footprint data assetization solutions to empower data asset operations in the circular economy and energy-carbon industries

Carbon Data Asset Development