Report Industry Investment Rating No relevant content provided. Core View of the Report Through macro - fundamental analysis and technical analysis, the report predicts the trend of major futures contracts on October 23, 2025, and also gives the expected trend for the whole month of October 2025 for some futures contracts [2]. Summary by Relevant Catalogs Futures Market Outlook - **Stock Index Futures**: On October 23, 2025, it is expected to fluctuate and consolidate. IF2512 has resistance at 4592 and 4621 points, support at 4515 and 4498 points; IH2512 has resistance at 3019 and 3034 points, support at 2980 and 2972 points; IC2512 has resistance at 7054 and 7100 points, support at 6925 and 6871 points; IM2512 has resistance at 7211 and 7257 points, support at 7095 and 7059 points [2]. - **Treasury Bond Futures**: - **Ten - year Treasury Bond Futures T2512**: On October 23, 2025, it is likely to have a strong and wide - range fluctuation, with resistance at 108.26 and 108.32 yuan, support at 108.00 and 107.95 yuan [2][35]. - **Thirty - year Treasury Bond Futures TL2512**: On October 23, 2025, it is likely to have a strong and wide - range fluctuation, with resistance at 116.0 and 116.5 yuan, support at 115.2 and 115.0 yuan [2][39]. - **Precious Metal Futures**: - **Gold Futures AU2512**: On October 23, 2025, it is likely to have a weak and wide - range fluctuation, and will test the support levels of 925.0 and 917.9 yuan/gram, with resistance at 937.8 and 950.0 yuan/gram [2][42]. - **Silver Futures AG2512**: On October 23, 2025, it is likely to fluctuate weakly and will test the support levels of 11210 and 10937 yuan/kilogram, with resistance at 11404 and 11483 yuan/kilogram [3][50]. - **Base Metal Futures**: - **Copper Futures CU2512**: On October 23, 2025, it is likely to fluctuate and consolidate, with support at 85000 and 84300 yuan/ton, resistance at 85400 and 85600 yuan/ton [3][52]. - **Aluminum Futures AL2512**: On October 23, 2025, it is likely to fluctuate strongly, with resistance at 21200 and 21300 yuan/ton, support at 21080 and 21040 yuan/ton [3][59]. - **Alumina Futures AO2601**: On October 23, 2025, it is likely to fluctuate weakly and will test the support levels of 2800 and 2786 yuan/ton, with resistance at 2836 and 2856 yuan/ton [3][63]. - **Carbonate Lithium Futures LC2601**: On October 23, 2025, it is likely to fluctuate strongly and will attack the resistance levels of 77800 and 79200 yuan/ton, with support at 76700 and 76000 yuan/ton [3][68]. - **Building Material Futures**: - **Rebar Futures RB2601**: On October 23, 2025, it is likely to fluctuate and consolidate, with resistance at 3076 and 3090 yuan/ton, support at 3056 and 3034 yuan/ton [4][70]. - **Hot - rolled Coil Futures HC2601**: On October 23, 2025, it is likely to fluctuate and consolidate, with resistance at 3260 and 3280 yuan/ton, support at 3229 and 3204 yuan/ton [4][75]. - **Iron Ore Futures I2601**: On October 23, 2025, it is likely to have a wide - range fluctuation, with resistance at 778 and 780 yuan/ton, support at 767 and 762 yuan/ton [4][77]. - **Coking Coal Futures JM2601**: On October 23, 2025, it is likely to fluctuate strongly, with resistance at 1227 and 1239 yuan/ton, support at 1204 and 1187 yuan/ton [4][82]. - **Glass Futures FG601**: On October 23, 2025, it is likely to have a wide - range fluctuation, with support at 1072 and 1060 yuan/ton, resistance at 1101 and 1110 yuan/ton [4][85]. - **Soda Ash Futures SA601**: On October 23, 2025, it is likely to have a wide - range fluctuation, with resistance at 1230 and 1250 yuan/ton, support at 1200 and 1190 yuan/ton [4][89]. - **Energy Futures**: - **Crude Oil Futures SC2512**: On October 23, 2025, it is likely to fluctuate strongly and will attack the resistance levels of 453 and 459 yuan/barrel, with support at 445 and 441 yuan/barrel [4][93]. - **Fuel Oil Futures FU2601**: On October 23, 2025, it is likely to fluctuate strongly and will attack the resistance levels of 2720 and 2752 yuan/ton, support at 2680 and 2660 yuan/ton [4][97]. - **Chemical Futures**: - **PTA Futures TA601**: On October 23, 2025, it is likely to fluctuate strongly, with resistance at 4510 and 4530 yuan/ton, support at 4456 and 4434 yuan/ton [5][98]. - **PVC Futures V2601**: On October 23, 2025, it is likely to fluctuate strongly and will attack the resistance levels of 4750 and 4770 yuan/ton, support at 4688 and 4670 yuan/ton [7][100]. - **Methanol Futures MA601**: On October 23, 2025, it is likely to fluctuate and consolidate, with support at 2250 and 2233 yuan/ton, resistance at 2272 and 2281 yuan/ton [7][103]. - **Agricultural Futures**: - **Soybean Meal Futures M2601**: On October 23, 2025, it is likely to fluctuate strongly and will attack the resistance levels of 2915 and 2938 yuan/ton, support at 2878 and 2868 yuan/ton [7][105]. - **Palm Oil Futures P2601**: On October 23, 2025, it is likely to fluctuate weakly and will test the support levels of 9072 and 9000 yuan/ton, resistance at 9180 and 9200 yuan/ton [7][107]. - **Natural Rubber Futures RU2601**: On October 23, 2025, it is likely to fluctuate strongly and will attack the resistance levels of 15320 and 15500 yuan/ton, support at 15120 and 15050 yuan/ton [7][110]. Macro - news and Trading Tips - US President Trump expects to reach a good trade agreement with Chinese leaders during the APEC Economic Leaders' Meeting next week, but the meeting may be cancelled. The Chinese Foreign Ministry responds that the two leaders maintain close communication [8]. - Chinese Minister of Commerce Wang Wentao meets with Airbus CEO Guillaume Faury, emphasizing continued cooperation and solving Airbus' problems in China [8]. - The National Bureau of Statistics releases September unemployment data by age group, with the unemployment rate for 16 - 24 - year - olds at 17.7%, 25 - 29 - year - olds at 7.2%, and 30 - 59 - year - olds at 3.9% [8]. - Guangdong Province releases an action plan for AI - empowered high - quality development of the manufacturing industry, aiming to build a global "AI + Manufacturing" integration development demonstration area [8]. - As of October 21, the US federal government debt exceeds $38 trillion for the first time, just over two months after reaching $37 trillion in mid - August [9]. - The US government shutdown lasts for 22 days, becoming the second - longest in history, with a deadlock over expiring medical subsidies [9]. - Trump cancels a meeting with Putin in Budapest. The US sanctions Russia's largest oil producer [9]. - The EU approves the 19th round of sanctions against Russia, including a ban on importing Russian LNG [9]. - Japanese Prime Minister Kashiwa Sanae orders a new round of economic measures, with a scale possibly exceeding 13.9 trillion yen last year [9]. Commodity Futures - related Information - On October 22, WTI crude oil futures rose 3.74% to $59.38/barrel, Brent crude oil futures rose 4.94% to $64.35/barrel, driven by expected US sanctions on Russia and a decrease in US EIA crude oil inventory [10]. - On October 22, international precious metal futures generally rose. COMEX gold futures rose 0.18% to $4116.60/ounce, COMEX silver futures rose 1.00% to $48.18/ounce, supported by EU sanctions on Russia, Fed's relaxation of bank capital requirements, and US fiscal policy uncertainty [10]. - In September, global physical gold ETFs had the largest single - month inflow on record, driving the total inflow in Q3 to a record $26 billion. By the end of Q3, the total AUM of global gold ETFs increased to $472 billion, and the total holdings increased 6% to 3838 tons, only 2% lower than the historical peak [10]. - On October 22, most London base metals rose. LME zinc rose 1.05% to $3019.50/ton, LME aluminum rose 0.88% to $2805.50/ton, LME lead rose 0.50% to $1995.00/ton, LME copper rose 0.33% to $10658.50/ton, LME tin was flat at $35400.00/ton, and LME nickel fell 0.23% to $15140.00/ton [11]. - Vale's Q3 iron ore production was 94.4 million tons, a 3.8% year - on - year increase, the highest since Q4 2018 [12]. - On October 22, the on - shore RMB against the US dollar closed at 7.1245, down 74 basis points from the previous trading day, and the night - session closed at 7.1240. The central parity rate was 7.0954, down 24 basis points [12]. - On October 22, the US dollar index fell 0.06% to 98.91. Non - US currencies showed mixed performance. The offshore RMB against the US dollar rose 11 basis points to 7.1257 [12]. Futures Market Analysis and Outlook - **Stock Index Futures**: On October 22, the major stock index futures contracts showed different trends. IF2512 had a slight decline, IH2512 had a slight increase, IC2512 and IM2512 had slight declines. The short - term downward pressure on some contracts increased, and the upward momentum of some was weak [12][13][14]. - **Treasury Bond Futures**: On October 22, the 10 - year and 30 - year Treasury bond futures contracts had different trends. The short - term rebound momentum of the 10 - year contract weakened, and the 30 - year contract continued to rebound weakly [34][38]. - **Precious Metal Futures**: On October 22 and during the night - session, gold and silver futures contracts showed a weak trend, with increased short - term downward pressure [40][49]. - **Base Metal Futures**: On October 22, copper, aluminum, and other base metal futures contracts showed different trends, with some having weak upward momentum and some continuing to rebound [52][58]. - **Building Material Futures**: On October 22, rebar, hot - rolled coil, and other building material futures contracts generally rebounded, with increased short - term upward momentum [70][75]. - **Energy Futures**: On October 22, crude oil and fuel oil futures contracts showed a strong upward trend, with continued short - term upward momentum [93][97]. - **Chemical Futures**: On October 22, PTA, PVC, and other chemical futures contracts generally rebounded, with different short - term trends [97][100]. - **Agricultural Futures**: On October 22, soybean meal and palm oil futures contracts showed a downward trend, with increased short - term downward pressure, while natural rubber futures contracts fluctuated and consolidated [105][107][110].

Core Viewpoint - The Guangdong Provincial Government has launched the "Action Plan for High-Quality Development of Manufacturing Empowered by Artificial Intelligence (2025-2027)", which includes 16 measures aimed at enhancing industrial AI applications and support systems, with a focus on financial incentives such as "model vouchers", "computing power vouchers", and "training vouchers" to facilitate the adoption of AI in manufacturing [1][2][3] Group 1: Key Measures - The plan emphasizes four main areas: strengthening key supply of industrial AI, promoting large-scale application of industrial AI, building a supporting system for industrial AI, and optimizing the guarantee of industrial AI elements [1] - The "model vouchers" aim to lower the application threshold for small and medium-sized enterprises (SMEs) by subsidizing the purchase of industrial model services, thus reducing upfront investment risks [2][3] - The "computing power vouchers" are designed to alleviate resource bottlenecks by providing subsidies that enable SMEs to access high-end computing resources, which are typically monopolized by large corporations [2][3] - The "training vouchers" focus on supporting customized training for enterprises, helping them adapt general models to their specific production processes, thereby enhancing the effectiveness of AI applications [3] Group 2: Challenges and Solutions - The large-scale application of industrial AI faces significant challenges, particularly for SMEs, including high computing costs, scarcity of quality models, and high technical barriers due to a lack of specialized talent [2] - The "three vouchers" initiative is a problem-oriented approach that leverages fiscal tools to address these challenges and facilitate the intelligent transformation of enterprises [2][3] - The initiative represents a mechanism innovation that not only provides short-term subsidies but also encourages social capital investment in the industrial AI sector, promoting a diversified investment landscape [3] Group 3: Broader Implications - The integration of AI into manufacturing is seen as a necessary step for Guangdong to transition from a manufacturing province to a manufacturing powerhouse, with expectations that more enterprises will adopt AI technologies [3] - The "three vouchers" model offers a potential replicable experience for intelligent transformation in manufacturing across the country, moving away from traditional blanket subsidy approaches to more precise resource allocation [3]

Market News - The three major US stock indices closed mixed, with the Dow Jones rising by 0.47%, the S&P 500 flat, and the Nasdaq down by 0.16%, marking a new historical high for the Dow [1] - The Philadelphia Gold and Silver Index fell sharply by 9.57%, while major tech stocks showed mixed performance, with Amazon up over 2% and Google down over 2% [1] - General Motors surged nearly 15%, achieving its best single-day performance in five years, while Beyond Meat, known as the "first stock of artificial meat," skyrocketed over 146%, with a cumulative increase of about 600% over three trading days [1] - The Nasdaq Golden Dragon China Index decreased by 0.97% [1] Commodity Market - International gold and silver prices fell significantly, with spot gold dropping by 5.31% to $4124.36 per ounce, marking the largest single-day decline since April 2013 [2] - Spot silver fell by 7.11% to $48.67 per ounce, also experiencing its largest drop since 2021 [2] - International oil prices rose, with West Texas Intermediate crude increasing by 0.98% to $57.58 per barrel and Brent crude rising by 1.0% to $61.62 per barrel [2] - European stock indices closed slightly higher, with Germany's DAX up by 0.29%, France's CAC40 up, and the UK's FTSE 100 up by 0.25% [2] Industry Insights - The Ministry of Industry and Information Technology of China has drafted the "Guidelines for the Construction of Computing Power Standard System (2025 Edition)," aiming to revise over 50 standards by 2027 to promote the construction of a computing power standard system [3] - The computing power market in China is expected to exceed 200 billion yuan by 2025, with a projected scale of over 300 EFLOPS, and intelligent computing power accounting for 35% [4] - The Guangdong Provincial Government has issued an action plan for AI-enabled high-quality development in manufacturing, focusing on industrial software and intelligent equipment [4] - The successful operation of a helium refrigerator developed by Henan Zhongke Qingneng Technology Co., Ltd. marks a significant advancement in China's nuclear fusion field, providing support for major scientific infrastructure [5][6] Stock Movements - Xianggang Technology announced that a shareholder plans to reduce holdings by up to 2.68% through various trading methods [7] - Lihe Micro announced a planned reduction of up to 3% of its total shares by a major shareholder [7] - Huaxiang Co. and Tuoshan Heavy Industry also announced plans for share reductions of up to 3% and 2.82%, respectively [7] - Yiyaton and Te Fa Services disclosed plans for share reductions not exceeding 1% of their total shares [8]

Group 1: Oil and Energy Sector - The Ministry of Commerce announced the total import quota for non-state trade of crude oil for 2026 is set at 25.7 million tons, with specific application conditions including ownership of oil terminals and bank credit requirements [2] - The successful impoundment of the Dadu River Jinchuan Hydropower Station is expected to replace approximately 1 million tons of coal consumption annually, contributing to a reduction of about 1 million tons of CO2 emissions [3] - The largest pumped storage unit in China, located at the Zhejiang Tiantai Pumped Storage Power Station, successfully completed its first operation, marking significant progress in a key national project [3] Group 2: Green Technology and Innovation - China has established a preliminary technical specification system for green ships and offshore facilities, aligning with international greenhouse gas reduction targets and promoting the standardization of green technologies [2] - The launch of the methanol electric dual-purpose vessel "Yuanchun 001" in Shanghai represents a new model for green shipping applications in inland waterways [4] Group 3: Regional Developments - In Guangxi, the energy block trading volume has surpassed 20.5 billion kilowatt-hours, accounting for 15% of the total electricity market transactions in the region [5] - Guangdong's action plan aims to accelerate the digital transformation of small and medium-sized enterprises, focusing on the application of model algorithms in various sectors [4] Group 4: International Energy Policy - The European Union has agreed to gradually stop importing natural gas from Russia by 2028, with a transition period for existing contracts until mid-2026 [6]

Report Industry Investment Rating There is no information provided regarding the report's industry investment rating. Core Viewpoints of the Report The report is a collection of typical cases of digital transformation in the manufacturing industry in 2025. It is organized by the China Academy of Information and Communications Technology on behalf of the Ministry of Industry and Information Technology. The collection includes 59 typical cases, covering 15 city cases, 9 park and cluster cases, and 35 enterprise cases. The goal is to promote the digital transformation of the manufacturing industry by sharing successful experiences and practices [6]. Summary by Directory City Chapter - **Hebei Tangshan**: Aims to build a new industrial base in the Bohai - Rim region. It promotes digital transformation through policy planning, pilot construction, and digital industry development. It has achieved results in pilot demonstration, platform construction, and 5G application [19][21][24]. - **Shanghai Songjiang**: Promotes the digital transformation of small and medium - sized enterprises by building a top - level closed - loop mechanism, a three - level linkage system, a precise service resource pool, an innovative publicity matrix, and a public service platform. It has enhanced digital service supply, promoted transformation, and built intelligent manufacturing factories [28][30][35]. - **Jiangsu Changzhou**: Adopts a "rating - diagnosis - improvement - training - chain" approach to solve the problems of enterprises' reluctance, fear, and inability to transform. It has achieved policy support, demonstration effects, and strengthened infrastructure [42][44][49]. - **Zhejiang Ningbo**: Explores a "4M" work path (Method + Machine + Material + Man) to empower the digital transformation of the manufacturing industry with artificial intelligence. It has made achievements in industry demonstration, intelligent equipment, data elements, and talent aggregation [57][60][65]. - **Zhejiang Huzhou**: Drives green intelligent manufacturing with digital and intelligent technologies, constructs a "1 + 3+N" work system, and promotes the digital transformation of the traditional manufacturing industry. It has led in AI application, achieved significant digital transformation in characteristic industries, and is at the forefront in digital - green integration [73][75][78]. - **Anhui Wuhu**: Promotes the digital transformation of enterprises through top - level design, optimizing the transformation ecosystem, pilot demonstration, and creating a transformation atmosphere. It has cultivated many intelligent factories and platforms [87][89][94]. - **Fujian Quanzhou**: Improves the "government - enterprise - service" transformation ecosystem to promote the digital transformation of manufacturing enterprises. It has advanced digital transformation and improved the transformation ecosystem [99][101][107]. - **Jiangxi Yingtan**: Integrates "policy - technology - finance - service" elements to achieve cluster - based digital transformation. It has created digital transformation benchmarks, built a provincial "copper industry brain", and strengthened talent support [112][114][118]. - **Shandong Jinan**: Implements a digital transformation action with a 16 - character working method. It has promoted network infrastructure construction, project development, and the emergence of pilot demonstrations [125][127][131]. - **Henan Luoyang**: Solves the problems of enterprises' reluctance, fear, and inability to transform through various measures such as changing concepts. It has formed a good situation where leading enterprises lead and small and medium - sized enterprises follow [141][143]. Park and Cluster Chapter - **Suzhou Industrial Park**: Focuses on building a high - standard digital park with intelligence, data, and networking [12]. - **Hangzhou High - tech Industrial Development Zone**: Integrates resources, strengthens mechanisms, and builds platforms to promote the digital transformation of large - scale industrial enterprises [12]. - **Hefei New Station High - tech Industrial Development Zone**: Empowers the digital transformation of the "chip" and "screen" industries with digital and intelligent technologies [12]. - **Shangrao Economic and Technological Development Zone**: Builds an ecological system for digital transformation through "three - dimensional linkage" [12]. - **Zhengzhou High - tech Industrial Development Zone**: Empowers the systematic leap of the manufacturing cluster with "computing power + brain" dual - core drive [12]. - **Chengdu High - tech Industrial Development Zone**: Breaks through the transformation difficulties of small and medium - sized enterprises with financial tools and promotes the "point - line - surface" integrated work of "intelligent transformation and digital transformation" [12]. - **Wuxi Internet of Things Cluster**: Accelerates the construction of a comprehensive digital transformation ability center and promotes the digital transformation of Internet of Things enterprises [12]. - **Wenzhou Yueqing Electrical Cluster**: Promotes the digital transformation of the electrical industry cluster through "chain - based collaboration" [12]. - **Chengde High - end Energy Equipment Cluster**: The chain - leader leads the digital transformation from the "chain" to the "cluster" to activate the high - quality development of the industrial cluster [12]. Enterprise Chapter - **Aviation and Medical GE Healthcare Systems Co., Ltd.**: Digitally empowers the intelligent and flexible manufacturing of high - end CT detectors [14]. - **Taiji Computer Co., Ltd.**: Builds a "full - domain intelligent connection" ecosystem to empower the innovation and development of smart parks [14]. - **China Automotive Data (Tianjin) Co., Ltd.**: Applies large - language model technology to promote the intelligent application of automobile test scenarios [14]. - **CITIC Dicastal Co., Ltd.**: Upgrades the lighthouse with artificial intelligence [14]. - **Shanxi Jinbo Biotech Co., Ltd.**: Applies its self - developed "AI Collagen Brain System" to achieve cost - reduction and efficiency - improvement in the enterprise's full - life - cycle management [14]. - **Harbin Electric Machinery Co., Ltd.**: Applies artificial intelligence and flexible manufacturing technology to build a fully digital and flexible production workshop for stator laminations [14]. - **CSIC Longjiang Guanghan Gas Turbine Co., Ltd.**: Empowers the independent development of the full - life - cycle of gas turbines with full - business - chain digital technology [14]. - **Baowu Equipment Intelligent Technology Co., Ltd.**: Applies an equipment remote intelligent operation and maintenance platform to promote the digital transformation of the steel industry [14]. - **Yangtze River Pharmaceutical Group Co., Ltd.**: Applies artificial intelligence, big data, and the Internet of Things to achieve accurate traceability of drug quality [14]. - **CRRC Nanjing Puzhen Co., Ltd.**: Applies artificial intelligence image processing and deep - learning technology to achieve intelligent remote diagnosis and analysis in multi - professional intelligent operation and maintenance [14]. - **Jiangyin Xingcheng Special Steel Co., Ltd.**: Manages and innovates the special steel process collaboratively based on data elements and artificial intelligence [14]. - **SUPCON Technology Co., Ltd.**: Applies industrial AI technology to help chlor - alkali enterprises achieve low - carbon, cost - reduction, quality - improvement, and efficiency - enhancement [14]. - **Ningbo Orient Cable Co., Ltd.**: Applies trusted technology to achieve energy - conservation and emission - reduction in cable enterprises' energy - carbon management [14]. - **Tongkun Group Co., Ltd.**: Conducts intelligent practices in a "5G full - connected + digital twin" polyester fiber future factory [14]. - **Anhui Gujinggong Wine Co., Ltd.**: Applies 5G + industrial Internet technology to promote the digital and intelligent transformation of the liquor - production scenario [14]. - **Changhong Meiling Co., Ltd.**: Promotes the transformation and upgrading of the smart supply chain based on 5G + industrial Internet technology [14]. - **Fujian Fubusi Textile Co., Ltd.**: Applies industrial Internet and AI technology to achieve cost - reduction, efficiency - improvement, and intelligent production in the textile and fabric industry [14]. - **Jiangxi Weimian Textile Group Co., Ltd.**: Reduces operating costs in intelligent spinning based on AI + visual digital twin [14]. - **Changhe Aircraft Industries (Group) Co., Ltd.**: Builds an intelligent manufacturing workshop for key helicopter machining parts based on digital twin technology [14]. - **Weichai Power Co., Ltd.**: Builds a data - empowered platform for the entire industrial chain to promote the ecological - level collaborative development of high - end power systems [14]. - **Shandong Daiyin Textile Group Co., Ltd.**: Applies intelligent manufacturing technology to achieve international and personalized high - end customization in suit production [16]. - **Kaios Technology (Qingdao) Co., Ltd.**: Applies a group - level industrial Internet platform to improve the enterprise's operation and management capabilities [16]. - **Zhongchuang Zhiling (Zhengzhou) Industrial Technology Group Co., Ltd.**: Builds a lighthouse factory in the coal - mining machinery industry [16]. - **Hunan Taixin Ceramics Co., Ltd.**: Applies industrial vision large - models and digital integration technology to promote the collaborative development of the entire ceramic chain, achieving quality improvement and green emission - reduction [16]. - **Liuyang Yihelong Fireworks Group Co., Ltd.**: Applies a micro - data platform and AIOT technology to achieve intelligent transformation of the high - risk fireworks production industry, improving both safety and production efficiency [16]. - **RootCloud Co., Ltd.**: Applies industrial AI large - model technology to promote the multi - modal large - model application in ship - repair business [16]. - **Foshan Haitian (Gaoming) Flavoring Food Co., Ltd.**: Conducts a digital and intelligent transformation practice in the traditional brewing industry with a "lighthouse factory" [16]. - **Gree Electric Appliances, Inc. of Zhuhai**: Develops a digital ecosystem for controller manufacturing based on artificial intelligence [16]. - **TCL Mobile Communications Co., Ltd.**: Applies digital technology to achieve full - process efficient collaboration and benefit improvement in the intelligent manufacturing of mobile intelligent terminals [16]. - **Guangxi Huasheng New Materials Co., Ltd.**: Applies AI technology to achieve intelligent control in the alumina production process [16]. - **Wide - Area Digital Technology Co., Ltd.**: Applies AI and industrial Internet technology to achieve full - process intelligent energy - conservation, cost - reduction, and efficiency - improvement in the electrolytic aluminum factory [16]. - **Seres Automobile Co., Ltd.**: Applies multi - modal deep - learning technology to online detection and control of new - energy vehicle welding spot quality [16]. - **Guiyang Aero - Engine Precision Casting Co., Ltd.**: Builds a digital and intelligent workshop for the casting of aero - engine directional crystal turbine blades [16]. - **Xi'an Geely Automobile Co., Ltd.**: Applies visual AI technology to promote the entire - process manufacturing [16]. - **Xinjiang Kunlun Zinc Industry Co., Ltd.**: Applies a comprehensive empowerment platform and other technologies to achieve digital and intelligent transformation in the lead - zinc smelting project [16].

Core Points - The launch meeting for the first phase of the digital construction project between Xianjin Group and Huawei (Songshan Lake) Developer Innovation Center was successfully held, highlighting the importance of this digital transformation initiative [1][3][5] Group 1: Project Significance - The project is a significant milestone for Xianjin Group's transformation and upgrade, aligning with Dongguan City's 2025 government document aimed at accelerating AI empowerment in manufacturing for high-quality development [3] - The collaboration is seen as a deep synergy that responds precisely to Xianjin's "old brand rejuvenation" strategy, with a focus on enhancing the effectiveness of technology implementation for digital upgrades [3][5] Group 2: Strategic Collaboration - The strategic partnership involves Xianjin Group, Huawei, FanRuan, and XuanTong, marking a new beginning in the digitalization journey [7] - The collaboration aims to integrate AI with manufacturing, with expectations that the combined technological strengths will drive Xianjin Group to explore unique development paths and provide experience for industry digital upgrades [8]