Solar photovoltaic

Advantages of the plan

Full-process intelligent control: Covers the entire production chain from silicon materials, silicon wafers, solar cells to modules, achieving AI process optimization and automatic control, significantly enhancing production efficiency.
High conversion efficiency and yield: Through intelligent detection and big data analysis, precise control of process parameters is achieved, reducing the fragmentation rate, and enhancing the photovoltaic conversion efficiency of the battery and the reliability of the module.
Flexible capacity adaptation: Supports rapid order switching and elastic capacity adjustment, enabling flexible response to market fluctuations and diverse product demands.
Green and low-carbon production: Integrating energy consumption monitoring and clean energy management to reduce production carbon emissions and comply with global green manufacturing standards.
Intelligent Operations and Cost Reduction: Predictive Maintenance Based on IoT Reduces Equipment Downtime, Optimizes Supply Chain and Inventory Costs, and Comprehensively Decreases OPEX.
Full life cycle traceability: Utilizing the workshop logistics WCS, EAP, and MES systems to achieve single-piece traceability for materials - production - quality throughout the process, enhancing product transparency and customer trust.

Demand Insights

The production data of silicon wafers is fragmented, and the data for multiple processes such as cutting, cleaning, and texturing are isolated. The analysis of yield lacks a global perspective.

The process of the battery cells has significant fluctuations, and the real-time control capabilities for key process parameters such as coating and sintering are insufficient.

It is difficult to trace the origin of component packaging, and there is a lack of precise traceability for multi-material combinations such as battery cells, glass, and back sheets.

The energy efficiency management of equipment is rather lax, and there is a lack of real-time energy efficiency monitoring for high-energy-consuming equipment such as PECVD.

Supplier collaboration is lagging behind, and the accuracy rate of ASN information for key materials such as silicon materials and silver paste is low.

Equipment maintenance is passive, and the average repair time for key equipment such as screen printing machines is relatively long.

Scheme architecture

Based on MES + EAP as the core, we will build a manufacturing data decision-making and analysis platform for the photovoltaic industry. Through standard protocol interfaces between systems, we will integrate and launch information systems:

ERP, WMS, EAM, EMS, AGV, etc., enable single-piece traceability throughout the entire photovoltaic supply chain.

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Typical Case

Jinko Solar Technology