今日行业报告更新新成果,JY灌溉系统:是否需要每天刷新?深度解析

,20251001 03:00:53 李绍 385

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近日官方渠道传达研究成果:今日官方传递政策更新,JY灌溉系统:是否需要每天刷新?深度解析

随着科技的不断发展,农业灌溉系统在提高农业生产效率、保障粮食安全等方面发挥着越来越重要的作用。JY灌溉系统作为其中的一种,以其高效、节能、智能的特点受到了广大农民朋友的青睐。然而,在使用过程中,许多用户对于JY灌溉系统是否需要每天刷新这一问题产生了疑问。本文将对此进行深入解析。 一、JY灌溉系统简介 JY灌溉系统是一种基于物联网技术的智能灌溉系统,通过传感器实时监测土壤湿度、气象数据等信息,自动调节灌溉水量,实现精准灌溉。该系统主要由水源、水泵、管道、控制器、传感器等组成,具有以下特点: 1. 节能降耗:根据土壤湿度、气象数据等实时调整灌溉水量,避免水资源浪费。 2. 精准灌溉:实现作物需水量的精准控制,提高作物产量和品质。 3. 智能管理:通过手机APP或电脑端远程监控和管理灌溉系统,方便快捷。 二、JY灌溉系统是否需要每天刷新 1. 系统刷新的作用 JY灌溉系统刷新主要是为了更新传感器采集的数据,确保系统运行稳定、准确。刷新内容包括: (1)土壤湿度数据:实时监测土壤湿度,为灌溉决策提供依据。 (2)气象数据:包括温度、湿度、降雨量等,为灌溉系统提供气象信息。 (3)设备状态:监测水泵、控制器等设备运行状态,确保系统正常运行。 2. 刷新频率 JY灌溉系统是否需要每天刷新,取决于以下因素: (1)作物需水量:不同作物对水分的需求不同,需水量较大的作物可能需要更频繁地刷新。 (2)土壤湿度变化:土壤湿度变化较大时,需要更频繁地刷新以获取准确数据。 (3)气象条件:气象条件变化较大时,需要及时刷新以获取最新气象信息。 一般情况下,JY灌溉系统每天刷新1-2次即可满足需求。具体刷新频率可根据实际情况进行调整。 三、如何优化JY灌溉系统刷新 1. 合理设置传感器:根据作物需水量和土壤湿度变化,选择合适的传感器,提高数据采集的准确性。 2. 优化控制器算法:根据传感器采集的数据,优化控制器算法,实现精准灌溉。 3. 定期检查设备:定期检查水泵、控制器等设备,确保设备正常运行。 4. 培训用户:加强对用户培训,提高用户对JY灌溉系统的操作和维护能力。 总之,JY灌溉系统是否需要每天刷新,取决于作物需水量、土壤湿度变化和气象条件等因素。合理设置刷新频率,优化系统性能,才能充分发挥JY灌溉系统的作用,提高农业生产效率。

TMTPOST --   Chinese telecommunications giant Huawei unveiled a sweeping expansion of its artificial intelligence computing ambitions on Thursday, announcing new supercomputing systems powered by its in-house Ascend chips. The move signals escalating competition with U.S. chipmaker Nvidia, the global leader in AI processors.AI-generated imageAt its annual Huawei Connect conference in Shanghai, the company introduced the forthcoming "Atlas 950 SuperCluster," which it said will begin rolling out as early as next year. The announcement underscores Huawei ’ s determination to challenge U.S. dominance in advanced AI hardware despite Washington ’ s tightening export controls on semiconductors."The competition has undeniably arrived and is gaining momentum," an Nvidia spokesperson said. "Customers will choose the best technology stack for running the world ’ s most popular commercial applications and open-source models."U.S. restrictions have cut China off from the most advanced chips needed to train large-scale AI models, forcing Chinese firms to rely on domestically developed processors or stockpiles of older foreign components. Huawei, long targeted by U.S. sanctions, has turned to large-scale clustering of its less powerful but increasingly refined Ascend processors. By combining vast numbers of these chips in interconnected networks, the company aims to match or surpass the performance of systems built on Nvidia ’ s hardware.Huawei said it plans to release three new versions of its Ascend chips through 2028, pledging to double computing power with each iteration. At the base level, its new Atlas 950 supernode will connect 8,192 Ascend chips. A full Atlas 950 SuperCluster would integrate more than 500,000 chips.A future upgrade, the Atlas 960 system slated for 2027, is projected to support nearly 15,500 chips per node and scale to more than 1 million Ascend processors across a full supercluster. Huawei claimed these would represent the world ’ s most powerful AI systems by raw computing power.Huawei did not shy away from comparisons with its American rival. Eric Xu, the company ’ s vice chairman and rotating chairman, said the Atlas 950 supernode would deliver 6.7 times more computing power than Nvidia ’ s upcoming NVL144 system. He went further, predicting Huawei would "be ahead on all fronts" compared with Nvidia ’ s 2027 offering — and claimed the Atlas 950 SuperCluster would even exceed the computing capacity of Elon Musk ’ s xAI Colossus project.While independent verification of Huawei ’ s claims is limited, industry experts said the company ’ s ambition is clear."Huawei ’ s announcement on its computing breakthrough is well timed with recent increasing emphasis by the Chinese government on self-reliance on China ’ s own chip technologies," said George Chen, partner and co-chair of the digital practice at The Asia Group. While noting that Huawei might be overstating its technical edge, he added, "the ambition to be a world AI leader cannot be underestimated."Research from SemiAnalysis earlier this year found that Huawei ’ s CloudMatrix system outperformed Nvidia ’ s equivalent despite each Ascend processor offering only about one-third the power of an Nvidia chip. The advantage came from scale: Huawei deployed roughly five times as many chips in its clusters."Computing power has and will continue to be the key for AI," Xu emphasized during his keynote speech in Shanghai.Huawei ’ s new announcements build on earlier efforts. Two years ago, it introduced the Atlas 900 SuperCluster, which it still markets with "thousands" of Ascend chips. On Thursday, the company said it had already deployed more than 300 Atlas 900 A3 supernodes to over 20 clients across telecoms, manufacturing, and other sectors.This momentum reflects a broader push within China to substitute foreign technology with homegrown alternatives. Beijing has increasingly pressed domestic firms to use local suppliers and invest in national semiconductor capabilities. Huawei ’ s breakthroughs are likely to be touted as proof of progress in these efforts.Huawei ’ s offensive comes as Nvidia faces growing headwinds in China, once one of its most important markets. Earlier this week, China extended an antitrust probe into the U.S. company over alleged monopolistic practices. On Wednesday, Nvidia ’ s shares fell more than 2% after the Financial Times reported that Beijing had ordered Chinese tech giants to halt testing and purchases of the RTX Pro 6000D, one of Nvidia ’ s new AI-focused chips.Nvidia Chief Executive Jensen Huang expressed frustration over the developments. "I am disappointed to hear this news," he told reporters, while reiterating that Huawei represents a "formidable" competitor.The geopolitical context adds another layer of complexity. The U.S. and China concluded trade talks in Spain this week that reportedly included discussions over the fate of TikTok, the video app owned by Beijing-based ByteDance. But technology co
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