浙江省基建项目中标数据

本数据产品依托明树基建投融资大数据库和自主研发的低代码平台，利用政府公开网站如浙江省公共资源交易平台成交公示信息等进行合法合规的人工采集，已投入团队20人，耗费3年的时间使用自主研发的系统和数据中台进行数据清洗、处理、分析和加工形成结构化数据，人工采集重点字段如：项目名称、预算金额、采购需求、供应商名称、中标金额、采购人信息、采购代理机构信息、项目概况、建设期、合作期、项目地区、企业工商信息等字段，并对全国各个重点模式如PPP、EPC、施工总承包、EPC+F、设计施工总承包、EPC+O、股权投资+施工总承包、EPC+F+O、ABO、勘察设计、其他类型、其他投资类、特许经营、委托运营、服务采购等模式的项目进行招投标追踪，每日进行动态更新，在保证数据隐私安全及合法合规的基础上，运用灵活多变的模型算法构建数据场景，可根据项目拓展、竞争对手分析、项目运营等不同场景，通过自定义数据指标模板实现灵活配置指标组合、不同维度的数据抓取及数据碰撞检验，生成完整真实公正的数据集、数据报告等结果。

This data product is developed based on the Mingshu Infrastructure Investment and Financing Big Database and a self-developed low-code platform. Data is legally and compliantly manually collected from official government websites, including bid-winning announcement information published on the Zhejiang Provincial Public Resource Trading Platform and other similar platforms. It has taken 3 years for a 20-member team to perform data cleaning, processing, analysis and refinement via self-developed systems and data middle platforms, resulting in structured datasets. Key manually collected fields include: project name, budget amount, procurement requirements, supplier name, winning bid amount, procurer information, procurement agency information, project overview, construction period, cooperation period, project location, enterprise industrial and commercial information, and other relevant fields. The product also tracks bidding and tendering activities for projects under various domestic key delivery models, including PPP, EPC, general construction contracting, EPC+F, design-construction general contracting, EPC+O, equity investment + general construction contracting, EPC+F+O, ABO, survey and design, other types, other investment categories, concession operation, entrusted operation, service procurement, and other models. The dataset is updated dynamically on a daily basis. On the premise of ensuring data privacy, security and compliance, flexible and diverse model algorithms are employed to build targeted data scenarios. For different application scenarios such as project expansion, competitor analysis and project operation, users can flexibly configure indicator combinations, conduct multi-dimensional data crawling and data collision verification via custom data indicator templates, and generate complete, authentic and fair datasets, data reports and other resultant outputs.

搜集汇总

背景与挑战

背景概述

该数据集基于浙江省公共资源交易平台等公开信息，由专业团队历时3年采集清洗而成，涵盖基建项目关键字段和多种合作模式，支持动态更新及多维度数据分析应用。