黑龙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黑龙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 the self-developed low-code platform. It conducts legal and compliant manual data collection by utilizing publicly disclosed information from government websites, such as transaction announcement data on the Heilongjiang Provincial Public Resource Trading Platform. The project has invested a team of 20 members and spent 3 years completing data cleaning, processing, analysis and refinement using self-developed systems and data middle platform, thus forming 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 region, enterprise industrial and commercial information, etc. It also tracks tendering and bidding projects under various key domestic models including PPP (Public-Private Partnership), EPC (Engineering, Procurement and Construction), general contracting for construction, EPC+F (EPC plus Financing), design-build general contracting, EPC+O (EPC plus Operation), equity investment plus general contracting for construction, EPC+F+O, ABO (Authorize-Build-Operate), survey and design, other types, other investment categories, franchise operation, entrusted operation, service procurement, etc. The data is updated dynamically on a daily basis. On the premise of ensuring data privacy security and legal compliance, it constructs data scenarios through flexible and diverse model algorithms. For different scenarios such as project expansion, competitor analysis and project operation, it can flexibly configure indicator combinations via customized data indicator templates, perform data crawling across multiple dimensions and conduct data cross-verification, and generate complete, authentic and impartial datasets, data reports and other outcomes.

搜集汇总

背景与挑战

背景概述

该数据集基于黑龙江省公共资源交易平台等公开信息，经专业团队历时3年采集清洗，涵盖基建项目关键字段及多种合作模式，支持动态更新和多维度分析应用。