Industrial Plant Activity – Global Coverage & Italy Demo

The *Industrial Plant Activity – Global Coverage & Italy Demo* dataset provides continuous insights into industrial plant activity derived from **satellite-based thermal and spectral measurements**.

Each facility is segmented into **production areas** (e.g., individual furnaces or rolling lines), and a weekly **Activity Index (0–100 %)** quantifies operational intensity.<br/>Unlike surveys or delayed reports, these data originate from **direct satellite observations**, offering an orthogonal, near-real-time view of industrial dynamics.

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## Key use cases

**1. Tracking steel, copper, and aluminium production activity**

Monitor regional and global supply conditions by observing weekly changes in plant utilization across core metals sectors.<br/>The dataset allows analysts to follow production dynamics across multiple plants, identifying capacity increases or reductions that precede price or supply movements.

**2. Anticipating HRC/CRC price movements and alloy demand**

Identify early indicators for steel-market trends by correlating plant activity with downstream hot-rolled coil (HRC), cold-rolled coil (CRC), and alloy pricing.<br/>Short-term production changes often provide predictive insights into inventory build-ups or demand slowdowns before they appear in traditional statistics.

**3. Deriving construction-market signals from rebar production**

Construction permits often extend over several years, while rebar (reinforcing steel) is produced and consumed within weeks.<br/>Rebar-mill activity therefore serves as a much timelier proxy for real construction momentum than permit data, providing near-real-time visibility into the pace of infrastructure and housing projects.

**4. Assessing utilization to identify supply shifts and optimize procurement timing**

Detect production slowdowns, maintenance shutdowns, or capacity restarts in near real-time.<br/>This enables purchasing managers and analysts to strengthen negotiation positions, optimize sourcing strategies, and anticipate upcoming supply shifts within the market.

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## Notes

The methodology has been validated with industry partners and on-site observations at selected plants, and replicated to more than 1 000 global sites.

> This free version provides a **static snapshot**; the full product is **updated weekly** and covers all major industrial sectors worldwide.

原始信息汇总

Industrial Plant Activity – Global Coverage & Italy Demo 数据集概述

数据集基本信息

• 数据集名称: Industrial Plant Activity – Global Coverage & Italy Demo
• 提供商: LaGrand
• 访问权限: 免费
• 访问类型: 无限访问
• 数据更新频率: 每周
• 时间覆盖范围: 1995年1月1日之后
• 时间粒度: 按周
• 地理覆盖范围: 全球
• 地理粒度: 按经纬度

数据描述

该数据集通过卫星热力和光谱测量提供工业工厂活动的连续洞察。每个设施被细分为生产区域（如单个熔炉或轧制线），并通过每周活动指数（0-100%）量化运营强度。这些数据源自直接卫星观测，提供正交、近实时的工业动态视图。

主要数据表

• V_POIS_PUBLIC
• V_STEELPLANT_ACTIVITIES_ITALY

数据字典

字段名称	类型	描述
CONTINENT	Varchar	大洲
COUNTRY	Varchar	国家
DETAILED_PRODUCTS	Varchar	详细产品
END_USER_SECTOR	Varchar	最终用户行业
MAIN_EQUIPMENT	Varchar	主要设备
OWNER	Varchar	所有者
PLANT_ID	Varchar	工厂ID
PLANT_NAME	Varchar	工厂名称
POI_TYPE	Varchar	POI类型
PRODUCT_CATEGORY	Varchar	产品类别

主要应用场景

业务需求

• 机器学习: 使用工厂级活动信号作为模型特征，预测钢铁、合金和能源市场动态
• 经济影响分析: 近实时量化区域和行业工业绩效
• 需求预测: 通过跟踪关键资产的生产强度预测下游需求
• 价格分析: 关联工厂利用率与HRC、CRC、镍或铜的价格变动

关键用例

1. 跟踪钢铁、铜和铝生产活动
2. 预测HRC/CRC价格变动和合金需求
3. 从螺纹钢生产中获取建筑市场信号
4. 评估利用率以识别供应变化和优化采购时机

技术特性

• 云区域可用性: AWS（非洲开普敦、亚太雅加达、亚太孟买、亚太大阪等50个区域）
• 法律条款: 标准条款
• 数据验证: 方法已通过行业合作伙伴和选定工厂的现场观察验证，并复制到全球1000多个站点

提供商信息

• 公司: LaGrand（瑞士初创公司）
• 业务: 将卫星智能与人工智能相结合，监控全球工业站点
• 联系方式:
  • 销售: [e-mail]
  • 支持: [e-mail]

分类标签

AI & ML、需求预测、经济影响分析、经济、查找表、机器学习、价格分析