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Rachana Shah And Rhythm Wagholikar Bring Out The Story Of Maay Bhavani._我的网站

A |     “画面显示现场搭设有金属管脚手架，脚手架上有一名佩戴红色安全帽的人员，安全防护多处缺失。脚手架下方地面堆放有钢管、扣件等物料，左下角可见两名佩戴白色安全帽的人员站立，背景可见混凝土墙体结构。”这是在杭州一工地抓拍的现场画面，但就在快门按下的瞬间，一个看不见的“安全监管员”完成了对这张照片的“审阅”——脚手架搭设不合规、高处作业未系跨安全带、高处作业吊篮不规范，三条隐患同步弹出，整改指令随即下发。    On Ram Navami, a festival that celebrates the birth of Lord Ram , the Navmi day of the chaitra Navratri and the enduring values of devotion and righteousness, Narendra Modi chose to share more than a customary greeting. His post featuring the devotional song “Maay Bhavani” brought a sense of spiritual depth to the occasion, reminding listeners of the quiet power of music rooted in faith.           The song, from the Marathi film Shahbaz Sunbai, belongs to a time when cinema and music were deeply intertwined with cultural and devotional expression. Its composition by Meena Mangeshkar Khadikar carries a sincerity that avoids excess, allowing the essence of devotion to take centre stage. In an era of fleeting soundscapes, such compositions stand apart for their stillness and emotional clarity.          It is, however, the voice of Lata Mangeshkar that celebrates “Maay Bhavani” into something timeless. Her music has long defined the emotional memory of India, moving effortlessly between romance, melancholy, and devotion. In songs of a spiritual nature, her voice often feels less like performance and more like prayer, marked by an almost meditative purity. This quality lends the composition a rare depth, making it especially fitting for a day like Ram Navami, where devotion is both personal and collective.          For authors Rachna Shah and Rhythm Wagholikar, the moment carried a deeply personal resonance. Responding to the Prime Minister’s post, they shared a note that captured both gratitude and memory, offering readers a glimpse into the story behind the song.           Their note is reproduced here in full:           ⸻           Dear friends,           It’s so heartwarming to see our honourable Prime Minister Shri. Narendra Modiji post a song on Maa Ambe - Maay Bhavani, on the auspicious day of Ram Navami.     The striking part is that this song is composed by my mother Meena Mangeshkar Khadikar and sung by my aunt Lata Mangeshkar..           We just chatted with Aai and told her regarding this post.     She shared an interesting behind-the-scene story.           This song was originally to be composed by Lata didi herself, however during those days, Didi was overwhelmed with the work load and couldn’t dedicate the time required.     So, she requested her sister Meena to step in and do the needful. Meena Mangeshkar Khadikar was an established composer and took charge and this composition took its birth…           This post by our beloved Prime Minister opened up a floodgate of beautiful memories and with our heartfelt sentiments we stand in gratitude.           Warm regards,     Rachana Rhythm           ⸻           What emerges from this reflection is a story of artistic trust and familial bond. The decision by Lata Mangeshkar to pass on the responsibility of composition to her sister reveals not just the pressures of her time, but also the quiet confidence she had in Meena Mangeshkar Khadikar’s musical sensibility. It is in such moments that enduring art often finds its form.           The Prime Minister’s gesture, therefore, does more than revive a song. It reconnects audiences with a legacy, one that spans generations and continues to shape India’s cultural identity. For Rachna Shah and Rhythm Wagholikar, it is a moment of remembrance and gratitude. For listeners, it is an invitation to rediscover a melody that carries both devotion and history within it.           Also Read: Sharda Sinha: A Voice That Became The Prayer of The Soil。

B | 这位“安全监管员”，就是浙江蓝宸数联科技有限公司打造的AI建安智检平台。“过去，工地安全巡检主要靠人，特别是对于一些隐患识别，还得看老师傅的经验。但人总有局限，不能时时刻刻盯着，像外立面、深基坑、高边坡这些‘难以一眼看清的角落’，往往是事故的高发区。”蓝宸数联董事长魏自金曾在城建领域深耕十余年，对此深有感触。而如今人工智能的应用，让巡检效率有了质的提升。

C | AI建安智检平台将工地划分为巡检网格，联动球机、无人机、机器狗、执法记录仪等设备，开展空天地一体主动巡检，依托自主研发的AI智能体驱动，可以实现从自动抓拍、AI识别、分级派单到整改复核、线上闭环的全流程数字化管控。

D | 目前，平台已覆盖14大类、46大重点隐患类型、140余类安全隐患，语义描述准确率达98.21%，平均AI隐患识别准确率不低于86%，处于行业领先水平。这些成效斐然的数字背后，其实有本不断更新的“教科书”在支撑——工地安全隐患高质量数据集，它让AI不仅能“看到”，更能“看懂”。“数据集不是数据的简单搜集，而是带有成效逻辑的完整链条，包括采集、标注、分析、闭环四个环节。”魏自金解释，以基坑为例，拍照只是第一步，接下来要从土堆的高度、坡度、湿度、行业规范等多个维度进行综合分析，判断是否存在滑坡风险。发现隐患后还要派单、整改、复查，直到确认闭环。

E | 而这精准研判、举一反三的能力，来自日复一日的高强度训练。记者了解到，蓝宸数联的数据来源非常广泛，监管数据、项目数据、施工企业数据都在不断“喂”给AI建安大模型。不仅如此，团队还会主动“投喂”一些错误数据，倒逼模型练就一双“火眼金睛”。“同样的隐患，我们识别得更快更准，靠的就是数据集更全面、训练更充分。

F | ”目前，蓝宸数联高质量行业数据集已入选杭州市第一批城乡建设领域“人工智能+”高质量数据集建设名单。值得关注的是，蓝宸数联还将“AI建安智检系统”与“工地安全隐患数据集”挂牌杭州数据交易所，推动企业数据资产化、赋能智慧城市建设高质量发展。深耕城建领域智能化转型，是蓝宸数联立足行业痛点、把握数字风口的精准布局，早在2020年，魏自金便坚定投身城建AI视觉研发，在他看来，城建领域项目体量庞大、施工场景繁杂、从业人员众多、工况变化频繁，是打磨人工智能算法、锤炼AI技术能力与业务综合能力的“绝佳试炼场”。“能啃下这块‘硬骨头’，后续再将技术、模型、体系复制落地到其他领域，便能事半功倍。”魏自金表示，蓝宸数联即将把业务拓展至交通、能源、水务等板块，先攻克通用类隐患，再逐步深入各行业的专属场景。在他的畅想中，未来不同领域的智能体将打破行业壁垒，相互配合、协同作业。比如，城建的智能体发现道路积水，会自动通知水务智能体调度排涝。交通的智能体监测到桥梁异常，联动城建智能体安排检修。“我们想做的，就是为智慧城市构建一套AI原生的治理—管理—服务一体化高质量运营新模式，推动提升AI算法能力在多行业、多场景、多角色中的价值链。

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