BangQi Technology Debuts at the New Energy Vehicle Engineering Summit! Empowering Multi-Point Upgrades in the Automotive Industry with "AI + Small Models"
Release date:
2024-07-03 20:54
Source:

Driven by the new wave of scientific and industrial revolutions, the automotive industry is rapidly advancing toward digital transformation. BangQi Technology aims to leverage AI Small Model: The Digital Foundation for Industry , boosting automotive manufacturing Break down data silos, eliminate application silos, overcome the limitations of standalone automation, address gaps in digital scenarios, and achieve seamless integration and intelligent upgrades across production processes. , driving the transition from labor reduction to full automation, providing robust support for the digital and intelligent transformation of the automotive manufacturing industry.
— Zheng Yimin, Deputy General Manager of BangQi Technology
July 2, 2024 New Energy Vehicle Engineering Summit Grandly launched at the Star River Bay Hotel in Pudong, Shanghai. This summit focuses on engineering challenges in the field of new energy vehicles. Intelligent, Digital Factories, and Solutions , from steam Car and new Experts and scholars from the energy industry, along with corporate executives, R&D personnel, integrators, suppliers, and others, gathered together to share insights and experiences. Automotive body shaping and joining engineering, final assembly workshop, green coating processes The latest technologies and processes in key manufacturing stages are explored in depth, shedding light on innovative trends in new-energy vehicle engineering.


As A full-stack, AI-driven digital manufacturing solution provider BangQi Technology was invited to participate in this year's summit, showcasing the company's innovative achievements and strategic roadmap in the automotive digitalization field.
At the meeting, Zheng Yimin, Deputy General Manager of BangQi Technology Published under the title "Pound Flag's AI Small Model Digital Platform: Empowering the New Energy Vehicle Industry to Enhance Quality, Reduce Costs, and Boost Efficiency" The keynote speech delved into the evolving trends of the automotive industry amid the waves of digitalization and intelligent transformation, and shared how BangQi Technology leverages AI-powered small models to build a robust digital industrial foundation. This innovative approach empowers every stage of the automotive manufacturing process, helping enterprise clients achieve cost reductions and operational efficiency gains. , making unmanned and intelligent operations a reality.

[Current State of Digitalization in the Automotive Industry]
Automation breakpoints, efficiency bottlenecks
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At this summit, Zheng Yimin delved into the challenges currently faced by the automotive industry as it undergoes digital transformation. He noted that, with the global advancement of Industry 4.0 and the rise of smart manufacturing, the automotive sector is grappling with how to Enhance productivity, reduce operational costs, and accelerate the pace of product innovation. Key issues to consider.

Zheng Yimin believes Currently, most automotive manufacturers are facing Data silos, application silos, single-point dehumanization, and fragmented automation. Among many other challenges, meanwhile Efficiency bottlenecks, operational blind spots, peak staffing challenges, inefficient unpacking processes, inadequate managed warehouse practices, and manual quality inspections Issues like these are also holding back the digital transformation of automotive manufacturers.
Data silos, application silos : Production data is scattered across different systems and departments, lacking a unified interface and standardized protocols, making integration and seamless interaction challenging. This complexity increases IT infrastructure demands and maintenance costs, ultimately impacting operational efficiency and the accuracy of decision-making.
Local Automation and Breakpoints Currently, most automotive companies' digital transformations focus on automating individual processes rather than adopting a systematic approach. As a result, production workflows still lack end-to-end automation, leading to reduced efficiency and increased errors.
Efficiency bottlenecks, scenario blind spots : There is a lack of coordination and data sharing across supply chain management, production planning, and quality control processes. Additionally, certain business scenarios—such as peak staffing periods, packaging areas, and manual quality inspections—still suffer from insufficient digital coverage, ultimately impacting overall efficiency and product quality.
Fluctuations in workforce demand During peak demand periods, there’s a shortage of staff, while during off-peak times, human resources are underutilized, making it difficult to achieve optimal workforce allocation.
Inefficient Unpacking and Packaging :The digitalization level in the unpacking and packaging stages is insufficient, leading to frequent manual interventions that increase both time and costs, thereby impacting production efficiency.
Addressing the challenges mentioned above, Zheng Yimin stated that companies need to achieve Strengthen data integration, optimize system architecture, implement end-to-end automation, and cover all scenarios. Digitalization Only then can we enhance operational efficiency and decision-making accuracy, paving the way for intelligent and highly efficient growth.

[BangQi AI Small Model: Digital Industrial Foundation]
Empowering the intelligent manufacturing upgrade of automobiles
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As a pioneer in AI-driven digitalization for intelligent manufacturing, Pound Flag Technology By continuously driving technological innovation and product optimization, we create PoundFlag AI Small Model Digital Foundation + End-to-End Optimal Software-Hardware Integrated Solution , By layout A fully integrated, digital operating system spanning all scenarios and processes—powered by automation, information technology, and intelligence—to help automotive companies truly achieve "cost reduction and efficiency enhancement." , helping the automotive industry accelerate toward high-quality development 。

By building AI Small Model: The Digital Foundation for Industry BangQi Technology provides comprehensive, integrated planning for factory digitalization, focusing on production capacity, optimizing critical process sequences, and advancing from raw data through mechanistic modeling to training models—ultimately delivering a robust solution. AI-driven process optimization, AI-powered industrial quality inspection, and pull-based production Achieve optimal AI-driven decisions, transitioning from locally optimal choices to globally optimal AI strategies, and help businesses realize their full potential. Intelligent and flexible manufacturing Achieve holistic, integrated optimization in cost reduction, efficiency enhancement, and quality improvement through advanced digitalization and intelligence—making reduced staffing and even full automation a reality, all while enabling a single platform to control the entire factory.

Currently, BangQi Technology is focused on Digital Factory, Smart Manufacturing, Intelligent Logistics, Smart Campus Full-stack services delivered to perfection Intelligent production collaboration, intelligent logistics coordination, task aggregation management, equipment aggregation management, equipment IoT integration, industrial quality inspection, smart scheduling and dispatching, critical process optimization, predictive maintenance, and energy consumption management Comprehensive, full-dimensional digital management for industrial scenarios, tailored to meet the needs of manufacturing. Digital and Intelligent Transformation Upgrade.

Helping leading automakers achieve high-precision detection
A certain assembly line at a factory under a leading new-energy vehicle company is Body component dimensions, geometric tolerances, and appearance There are issues such as low stability, difficulty in achieving consistent standards, and challenges in digitally tracing results within the testing systems for these areas. To address these challenges, BangQi Technology has introduced Car Industry AI Digital Solutions , Integrate the validated AI quality inspection system into the customer's production line. , enabling seamless integration with existing production systems , successfully achieving a dual improvement in quality inspection efficiency and accuracy, leading to significant enhancements in both production efficiency and product quality.
After the implementation of the plan, the company’s testing system achieved Fully automated 24/7 Continuous operation reduces the inspection time for a single workpiece from The original 20 seconds Reduced to 10 seconds, the quality inspection speed has improved by 50% compared to before. , The false-negative rate has been reduced to 0.01%, and the false-positive rate to 1%, resulting in a 70% reduction in labor costs and a 20% decrease in the production defect rate. , Multi-dimensional upgrades have been achieved in industrial chain production. 。


Currently, BangQi Technology Industry-leading customer coverage is nearly 60%, Already implemented globally Over 300 Project Including CATL, Ningde New Energy, EVE Energy, Svolt Energy, Farasis Energy, Xinwangda, Dongyang Guang, Foxconn, Timedao, Walmart, SAIC Anji, Junsheng Electronics, United Electronic, Huada Automotive, Weichai Power, Guangzhou Pharmaceutical, and Zhouming Technology, among others. Nearly 100 top-tier, industry-leading customers from home and abroad 。
In the future, BangQi will focus on "AI + Small Models" At the core, advance Artificial intelligence, big data, cloud computing, humanoid robots Research and innovation in cutting-edge technologies, through Production process Intelligent and autonomous operations, combined with data-driven management, are revolutionizing the industry chain by driving thorough optimization, seamlessly integrating every aspect of production and management, and striking the perfect balance between efficiency and cost. This approach not only fuels innovation for the transformation and upgrade of automotive manufacturing—but also empowers global manufacturing industries to embrace a new era of smart, digitally advanced production.


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