神马勘测档案管理模型

1.档案分类规则：根据项目类型、采集阶段、文件属性（时间、经纬度、图斑 ID、采集人等）自动识别档案类别并生成目录结构。
2.自动归档算法：依据文件元数据、命名规则及字段信息，实现采集资料（图片、轨迹、记录表、shp 数据等）的实时归档和规范化命名。
3.档案关联规则：按图斑编号自动建立“图斑—照片—轨迹—审核表—项目”等多维关联，形成可检索的档案链。
4.完整性校验算法：按项目规范对档案进行自动缺失检查（如缺照片、缺表格、缺轨迹等）并生成完整性校验结果及整改提示。

1. Archive Classification Rules: Automatically identify archive categories and generate directory structures based on project types, collection stages, and file attributes (including time, longitude and latitude, plot ID, collector, etc.).
2. Automatic Archiving Algorithm: Implement real-time archiving and standardized naming of collected materials (including images, trajectories, record sheets, shp data, etc.) based on file metadata, naming rules and field information.
3. Archive Association Rules: Automatically establish multi-dimensional associations such as "plot - photo - trajectory - audit form - project" based on plot numbers, forming retrievable archive chains.
4. Integrity Check Algorithm: Automatically perform missing checks on archives according to project specifications (such as missing photos, missing forms, missing trajectories, etc.) and generate integrity check results and rectification prompts.

搜集汇总

背景与挑战

背景概述

该数据集是一个60GB规模、月更新的档案管理模型，由贵州神马勘测设计有限责任公司自行产生，主要应用于自然资源和勘测项目的数字化归档与监管。其特点包括自动分类、实时归档和多维关联算法，实现档案资料的全程可追溯和完整性校验，适用于多种项目类型的管理场景。