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张旭光:中国自主可控的蛋白原料体系,是精准营养落地的核心底气_我的网站

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Chinese autonomous driving firm Pony.ai launched commercial robotaxi services in Zagreb, Croatia on April 8. Photo:Courtesy of Pony.ai
Chinese autonomous-driving company Pony.ai said on Monday that its cumulative autonomous-driving distance worldwide has surpassed 100 million kilometers, marking the latest milestone as China's driverless sector moves from technology validation toward mass production and scaled commercial deployment.
The milestone comes as L4 autonomous driving gains commercial traction across passenger transport and logistics in China, while Chinese companies are accelerating overseas deployment through partnerships with local operators in markets including Europe and Southeast Asia.
Industry experts said that the significance goes beyond rising distance. As commercialization gathers pace, the next phase of competition will increasingly hinge on whether autonomous-driving technology can be deployed at scale, brought down to commercially viable costs and replicated across different transport scenarios and markets.
At a recent media briefing, Pony.ai said that its fourth-generation L4 autonomous electric heavy-duty truck had entered mass production, with commercial operations expected to begin in the coming months. The company plans to deploy 500 to 1,000 trucks over the next two to three years across long-haul freight, bulk cargo transport and port logistics.
A notable part of that transition is the sharp decline in costs. Autonomous-driving hardware costs for Pony.ai's fourth-generation heavy truck are about 70 percent lower than for the previous generation, according to the company.
Similar cost reductions are also emerging in robotaxis. Pony.ai said on its official blog that the bill-of-materials cost of the autonomous-driving kit for its seventh-generation robotaxi has fallen 70 percent from the previous generation, helping the company achieve unit-economics breakeven in Guangzhou and Shenzhen, South China's Guangdong Province.
China's autonomous-driving sector is moving from technology validation to large-scale commercial deployment, underpinned by the rapid accumulation of real-world driving data, Pan Helin, a member of the Expert Committee for the Ministry of Industry and Information Technology, told the Global Times on Monday.
"Continuous road testing allows L4 systems to better adapt to local traffic conditions, laying the groundwork for wider commercial use," Pan said.
China has opened multiple cities to autonomous-driving applications, with commercialization gathering pace. As deployment expands and marginal technology costs fall, autonomous driving is expected to unlock significant commercial value and emerge as a new form of mobility, veteran industry analyst Liu Dingding told the Global Times.
Pony.ai aims to expand its robotaxi fleet to more than 3,000 vehicles by the end of 2026 and operate in 20 cities worldwide, with nearly half of those cities overseas. It also plans to develop an international version of its seventh-generation robotaxi tailored to different regulatory requirements and infrastructure, supporting the deployment of more than 1,000 vehicles in overseas markets.
Pony.ai's ambition also reflects a broader push by Chinese autonomous-driving companies to expand overseas.
On August 3, WeRide announced a partnership with Danish shared-mobility platform GreenMobility to deploy autonomous ride-hailing services in Denmark, marking its first entry into the Nordic region and sixth European market. Subject to regulatory approval, the service is expected to open to the public in the first half of 2027 using WeRide's latest GXR L4 robotaxi.
WeRide said on its website that its autonomous-driving products are now deployed in more than 40 cities across 12 countries. The company holds autonomous-driving permits in eight markets and operates a global L4 fleet of more than 3,000 vehicles.
A similar expansion is taking place in public transport. On July 17, Chinese autonomous-driving company MOGOX announced a strategic partnership with Singapore-based ComfortDelGro Bus. The two companies will cooperate on autonomous-vehicle deployment and operations, commercial expansion and coordination with regulators.
Pan said that China's autonomous-driving sector has two key advantages: a broad supplier base for major components and a large domestic market that allows companies to deploy services widely and accumulate real-world data. Advances in simulation and synthetic-data technologies have further strengthened the sector's ability to train and refine autonomous-driving systems.
Liu pointed to the cost benefits of scale. As deployment expands, the cost of key automotive-grade components such as lidar and chips continues to fall, improving the economics of commercial operations and creating more room for technological iteration, he said.
。 专题:精准营养产业大会 精准蛋白营养 赋能全生命周期健康 2026年8月21-23日,第二届精准营养产业大会在黑龙江哈尔滨举行,大会主题为“精准蛋白营养,赋能全生命周期健康”。中国飞鹤副总裁、研究院院长张旭光在论坛上表示,长期以来,国内高端功能乳蛋白原料高度依赖海外进口,进口原料历经远洋运输、通关、仓储等环节,存储周期普遍长达8个月以上。张旭光指出,新鲜度直接决定蛋白质的营养结构、功能活性与人体吸收利用率,婴幼儿肠道娇嫩、处于发育关键期,对原料新鲜度、适配性要求极高,只有新鲜、优质、易吸收的蛋白原料,才能契合婴幼儿精准营养需求,这也是企业深耕蛋白自主研发的核心初衷。 秉持适配全生命周期精准营养的发展理念,飞鹤自2011年启动乳铁蛋白专项攻关,历经十余年深耕,现已实现16个核心蛋白原料自研自产,彻底打破进口依赖。张旭光坦言,我国乳蛋白产业长期存在总量不足、结构不优的突出问题,国内乳蛋白应用占比仅2%,远低于欧美20%至25%的水平,行业峰值时期95%的优质乳蛋白依赖进口。伴随市场波动,乳蛋白价格数倍上涨,而飞鹤万吨级乳蛋白量产能力的落地,实现了国产乳蛋白在质量、数量、价格三重维度的安全自主,全面保障国民全生命周期蛋白营养供给。

B | “自主创新的背后,是十余年持之以恒的攻坚沉淀。”张旭光介绍,飞鹤乳蛋白深加工生产线超80%设备为联合定制自主研发,核心过滤萃取材料实现100%国产化。企业累计投入30多万吨鲜奶开展实验,完成3000余次中试实验,攻克多参数、高压力、高精度的产业化技术难题,彻底掌握蛋白原料底层创新与规模化生产能力,筑牢国产蛋白产业的技术底盘。 张旭光强调,中国自主可控的蛋白原料体系,是精准营养落地的核心底气。依托国产化原料创新能力,行业可根据国人不同人群的体质特征、健康需求,精准调配动植物蛋白配比、功能成分组合、水解度适配方案,打通从原料研发、精准配比到终端场景应用的全链条闭环。 新浪声明:所有会议实录均为现场速记整理,未经演讲者审阅,新浪网登载此文出于传递更多信息之目的,并不意味着赞同其观点或证实其描述。责任编辑:李思阳。
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Published on:04:16:21