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SIE officially released "PCB industry model based on Shanmou GPT"
Company News|2024-11-30|News Center|SIE

On November 29, the "2024 China Enterprise Digital Transformation Summit and SIE User Conference" hosted by SIE with the theme of "Zhihai Sailing AI Peer" was grandly held in Guangzhou. The conference gathered a number of top domestic industry professors, experts, renowned scholars, and industry leaders in the field of industrial digital transformation to deeply explore topics such as enterprise digitization, intelligent transformation, and Chinese enterprises going global in the era of big models. It officially released the first domestically developed full stack and full scenario AI big model for the PCB industry - the PCB industry big model based on Shanmou GPT.




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PCB Industry Model Release Ceremony Based on Shanmou GPT



Focus on the field and promote the commercial application of AI

Currently, artificial intelligence has become an important driving force for leading a new round of technological revolution and industrial transformation, and a key engine for promoting high-quality economic development. This year's Government Work Report proposes for the first time to launch the "Artificial Intelligence+" action plan, promoting the landing and application of artificial intelligence technology represented by large models in various industries, which will become an important lever for building new quality productivity.

Based on SIE Information's self-developed AI Zhongtai Shanmou GPT, the PCB industry big model deeply integrates computer vision (CV), deep learning and natural language processing (NLP) technologies, comprehensively balances enterprise computing costs, training costs, model capabilities, application value and other elements, classifies, cleans, trains and fine tunes a large number of engineering drawings, order materials, industry knowledge and other data in the PCB industry by accessing the general big model, so that it has the ability to understand, reason, analyze and identify PCB professional knowledge, helps customers achieve automatic reading, analysis, extraction and processing of complex engineering drawings, optimizes PCB design and manufacturing processes, promotes the digital and intelligent development of the PCB industry, and accelerates the leap of industry intelligence.


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PCB industry big model architecture based on Shanmou GPT




At present, the "PCB industry big model based on Shanmou GPT" can accurately identify and extract key engineering parameters such as size, material, layer number, etc. from PCB engineering drawings, shortening the parameter extraction work that originally required 4-6 hours to a few minutes, while ensuring an accuracy rate of over 95%, greatly improving the efficiency from order reception to production preparation, and significantly reducing quality problems caused by manual errors.

Continuous evolution, liberating industry productivity

In addition to the model training level, SIE Information also goes fast in the application of large model scenarios. At present, SIE Information has released a number of AI native applications based on the big model of PCB industry, such as intelligent document parsing, intelligent parameter extraction, and intelligent quotation, which are embedded into its Sifang Cloud collaboration platform with modular capabilities. At the same time, based on SIE Information's 19 years of experience in manufacturing enterprise digitalization and intelligent factory construction, as well as more than 15 years of digital service experience and customer accumulation in the PCB manufacturing industry, it can provide customers with personalized and customized services and solutions based on the big model, and provide strong support for the intelligent transformation of the PCB industry.

Automated MI parameter extraction: Utilizing advanced image recognition and natural language processing technologies to automatically and accurately identify and parse key parameters such as layer number, board thickness, and material in engineering drawings, and convert these unstructured data into structured data that can be used in the manufacturing process, greatly reducing the need for manual input, improving data accuracy and processing efficiency, and accelerating the preparation time of the entire PCB manufacturing process.

Intelligent quotation system: By analyzing the MI parameters and design complexity in the drawings through a large model, combined with factors such as material cost, manufacturing process, and market demand, it automatically generates accurate quotations, greatly improving the speed and accuracy of engineering quotations, helping enterprises optimize cost control, and enhance market competitiveness.

With its unique algorithm, model training technology, products and industry solutions, SIE Information's "PCB industry big model based on good seeking GPT" won the track excellent project award of "2024 BRICS Industrial Innovation Competition (AI big model)", and was also included in the "BRICS industrial innovation cooperation excellent project collection" and "2024 AI pioneer case collection".

Ecological alliance, promoting industrial intelligent upgrading

For a long time, SIE Information has carried out in-depth cooperation with Huawei in cloud, Kunpeng, Hongmeng, Oula, Pangu big model, etc., and has made great achievements in business development and ecological co construction. At present, while improving its own AI capabilities, SIE Information is actively participating in Huawei Ascension Ecology. By integrating the advantages of both sides in AI technology, industry solutions and market resources, it has formed a joint solution of "PCB industry model" and completed compatibility tests with Huawei AI framework MindSpot. At the same time, it has obtained Huawei Ascension Technology Certification and the right to use the Ascend Compatible logo.

In the future, SIE Information will continue to adhere to the development concept of "technology led and innovation driven", rely on the strong support of Huawei's rising AI basic software and hardware platform, continue to launch more AI products based on specific scenarios of industry needs, work together with more enterprises and developers in the ecosystem to create solutions in different fields and scenarios, enrich the AI ecological layout, build a new ecology of large model industries driven by AGI, and promote the prosperity and development of the AI industry.




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