The 17th (2024) International Solar Photovoltaic and Smart Energy Conference & Exhibition (SNEC) was grandly held at the Shanghai National Exhibition Center from June 13th to 15th. The SNEC Photovoltaic Conference had more than 3,100 enterprises from 95 countries and regions around the world participating in the exhibition, with the proportion of international exhibitors accounting for 30%, making it one of the most influential photovoltaic events in the world. This SNEC conference is also the largest one in history. The exhibition contents cover all aspects of the photovoltaic industry chain, involving the analysis of future market trends, cooperation and development strategies, national policy orientations, and the most advanced technologies in the industry.
As one of the important forums of the SNEC, the Global Photovoltaic Frontier Technology Conference provided a platform for global photovoltaic experts to display and exchange the latest solar technologies. The conference agenda covered various fields of photovoltaic technology, from high - efficiency battery technology to floating solar systems, to distributed photovoltaic, crystalline silicon photovoltaic components, and quality assurance. The participants jointly discussed how to effectively reduce costs, improve conversion efficiency, and promote the vigorous development of the industry on the basis of improving product quality.
As an intelligent manufacturing enterprise that has been deeply engaged in the pan - semiconductor industry for 16 years, Glorysoft has long applied the advanced manufacturing intelligent production experience to photovoltaic enterprises and has brought significant energy - saving and efficiency - increasing benefits to multiple leading customers. Different from the implementation of ordinary production management systems, Glorysoft has first applied the frontier AI, large models, and big data technologies to the actual production of leading photovoltaic enterprises to bring value enhancement driven by AI data.
Under the leadership of Mr. Liang Yan, the general manager of the business unit who is aggressive and driven by innovation, the Glorysoft solar energy business unit has achieved remarkable results.
Glorysoft is the only domestic CIM service provider that can build an integrated factory from crystal pulling and slicing to batteries, components, and materials and has successful cases.
It owns 100% self - developed products, has global implementation capabilities and landing cases.
It has an industry - leading patent single - wafer traceability technology that can increase the single - wafer traceability accuracy rate to 99%, ensure data accuracy, and conduct in - depth data analysis throughout the industrial chain.
At this Global Photovoltaic Frontier Technology Conference, Mr. Wu Wenhao, a big data application expert and product director from Glorysoft, brought a keynote speech titled "AI Data - Driven Photovoltaic Efficiency Improvement Strategies and Decisions", sharing the best practices of AI data simulation applications with many photovoltaic enterprises.
The photovoltaic industry faces challenges such as improving quotation efficiency: how to reduce production costs while maintaining high efficiency; cost control: how to maintain profitability in a fierce market competition; product quality: how to improve the stability and reliability of products.
AI Data Simulation Application - VM Virtual Metrology The VM concept of virtual metrology (VM) technology is a method of predicting product characteristics through AI models. It combines equipment and process parameters and uses statistics to establish models to predict product characteristic values such as film thickness, sheet resistance, and line width.
VM Can Solve Factory Problems and Its Advantages 1. Full Inspection: Predicting the product characteristics of each produced wafer through AI models to achieve 100% full inspection. 2. Reducing Sampling Frequency: Reducing the production cycle time by 3% by reducing the sampling frequency. 3. Risk Management and Control: Establishing a real - time risk management and control mechanism in combination with SPC to detect anomalies in a timely manner. 4. Equipment Optimization: Achieving cost reduction by reducing the number of metrology equipment.
AI Data Simulation Application - Optimization Scheme
The specific optimization strategies of AI in the photovoltaic production process
AI Data - Driven Value Enhancement
1. Significantly Improving Production Efficiency:
Intelligent and automated production, predictive maintenance, being able to predict equipment states in advance, preventing downtime, and increasing equipment utilization.
Effectively Controlling Costs:
Optimizing resource allocation, reducing labor costs, controlling materials, using big data to analyze the optimal service lives of chemical solutions, special gases, slurries, and stencils during production and processing, and maximizing the utilization of materials.
Comprehensively Improving Product Quality:
Using big data and AI algorithms to achieve virtual metrology, actually judging the subsequent production formula corresponding to the product after processing according to the real - time data of the product during production.
Continuously Optimizing the Production Process:
Data - driven decision support, real - time monitoring and dynamic feedback, monitoring and analyzing the subsequent processing process equipment of the product, and specifying optimization methods.
5. Comprehensively Upgrading the Supply Chain Management:
Optimizing the supply chain, conducting more efficient and accurate supplier performance analysis, and using sales data and purchase data to analyze the supply and demand of materials and products so that customers can better arrange production and purchase.
6. Improving Customer Satisfaction:
Customized production, quickly responding to market demands, using AI to train new employees, making customer training easier, and enabling new employees to get started faster.
With the rapid expansion of AI applications and the rapid progress of technology updates, AI and big data themes have also become important topics of this conference. For the currently rapidly growing new energy industry, software requirements such as prediction, scheduling, and management are involved in all aspects such as "generation, transmission, transformation, distribution, and use". The integration of AI is expected to help improve the efficiency and replace manpower in many aspects.
Glorysoft continues to be committed to the intelligent upgrade of the photovoltaic industry, the realization of efficient production modes such as automated factories and human - machine collaboration. At the same time, it continues to deeply explore the potential of big data to provide intelligent support and enhancement for production decisions. In addition, Glorysoft also continuously expands the application range of AI technology, achieving in - depth application of AI technology in more photovoltaic production links to optimize the entire production process, improve product quality, and reduce production costs.
