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ccdi/doc/docs/纪检初核系统功能说明书-V1.0.with.image.md

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2026-01-27 17:09:32 +08:00
## **纪检初核系统功能说明书**
**文档版本:** V1.0
**最后更新日期:** 2026年1月16日
` `**编写目的:** 本文档旨在全面排查员工异常行为初核系统的核心功能模块、操作流程及业务价值,为系统开发、测试及用户操作提供明确依据。系统旨在通过自动化数据分析与风险模型,高效识别员工潜在风险行为。
### **一. 项目管理模块**
` `本模块为系统首页,用于管理所有历史创建的核查项目。页面主要分为**导航与搜索区**、**项目列表区**和**快捷入口区**三大部分。
#### **1、原型图**
` `1首页
![descript](data:image/png;base64,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
` `2**新建项目** 弹窗页入口
![descript](data:image/png;base64,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
` `3**导入历史项目** 弹窗页入口
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![descript](data:image/png;base64,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
![descript](data:image/png;base64,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
####
#### **2、导航与搜索区**
` `**项目搜索**:支持通过输入关键词,对**项目名称**进行模糊搜索。
` `**新建项目**:点击打开一个标准表单,填写项目名称、人员等完整信息,自定义创建新项目。
#### **3、项目列表区**
` `本区域以表格形式清晰展示所有初核项目,是用户进行项目管理和监控的核心面板。
` `**1列表信息列**
` `**项目名称**:显示项目名称及下方的简要描述。
` `**创建时间**:显示项目的创建日期。
` `**状态**:通过色块直观标识项目状态。包括“**进行中**”、“**已完成**”等。
` `**目标人数**:计划核查的员工总数。
` `**预警人数**:当前已被风险模型标记为存在异常行为提示的员工数量。对于“进行中”项目,此数据动态更新。
` `**2操作列**
` `**查看结果** (适用于已完成项目):跳转至该项目的初核结果页。
` `**重新分析** (适用于已完成项目):基于原有数据,重新运行风险模型,更新分析结果。
` `**归档**将已结束且无需日常关注的项目移入归档库项目结束后可以统一归档并将相关的数据、分析过程图谱、流水等生成PDF文件导出。
` `**进入项目** (适用于进行中项目):进入该项目的工作台,开展数据管理、风险初核、专项排查等具体工作。
#### **4、快捷入口区**
` `本区域提供一键触达的高频操作按钮,提升常用工作流的启动效率。举例:
` `**1导入历史项目**:复制一个历史项目的配置(如人员范围、流水、征信数据配置),快速创建新项目,实现项目模板复用:包括目标人群的流水、征信等信息
` `**2创建当季的季度初核**:快速启动一个标准化的季度周期性排查项目,系统可预填当前季度时间范围等配置。
` `**3创建新员工排查**:为特定新员工创建专项排查任务。
### **二. 项目工作台**
` `用户从项目列表点击“进入项目”后,将进入具体项目的操作空间,涵盖从数据准备到风险识别的全流程。并且通过侧边导航栏可以实现:
` `**返回项目列表:**返回当前项目的上一层列表页。
` `**项目状态**:明确标识当前项目阶段为“**已完成**”,提示用户核心分析已结束,当前可能在进行数据补充或复查。
` `**最后更新**:显示数据或项目状态的最后变更时间(`2024-01-20 15:30`),用于判断信息的时效性。
#### **第一部分 数据管理**
` `本页面是进入具体项目后的核心工作台之一,将来自行内流水、征信数据、人工上传不同来源和格式的数据,在一个界面内完成统一接入;并且自动化检查识别数据问题,保证后续风险识别的准确性。
1. ##### **数据导入**
` `1**拉取本行信息:**
` `**功能:**点击后需要输入证件号码或者导入文件(上传身份证号表格),自动拉取行内流水、资产等数据信息
` `2**他行流水导入**
` `**功能**:批量上传员工的他行银行、或者支付宝微信等交易流水文件。支持`Excel``文本型PDF`。系统自动解析文件内容,提取交易金额、对手方、交易时间、余额、摘要等关键字段。
` `3**征信信息导入**
` `**功能**:上传个人信用报告。支持`HTML` 格式的网页文件。系统自动解析报告,提取信贷账户、负债总额、担保信息、查询记录等核心数据。
` `4**员工家庭关系导入**
` `**功能**:上传员工的家庭成员信息,用于构建关系人图谱和关联分析。
` `5**名单库选择:**从信息维护——中介库管理内的名单选择确认后的可疑名单
` `6**生成报告**:生成初核结果,跳转结果页
![descript](data:image/png;base64,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
![descript](data:image/png;base64,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
1. ##### **数据质量检查**
` `**功能**:在数据导入后,系统自动执行一套预定义的质量规则,对数据集进行检查。
` `**检查结果详情**:以列表形式直观展示发现的具体问题,例如:
` ``发现 23 条数据格式不一致`:如日期格式不统一、金额单位混杂。
` ``发现 5 条余额链条性异常`:指相邻交易记录间的余额计算逻辑断裂,可能意味着数据缺失或被篡改。
` ``发现 12 条缺失关键字段`:如交易记录缺少对手方账号或户名。
` `**质量评分仪表盘**:通过三个关键指标量化数据质量:
` `**数据完整性 (98.5%)**:衡量必填字段的填充率。
` `**格式一致性 (95.2%)**:衡量数据遵循预定格式规范的程度。
` `**余额连续性 (92.8%)**:衡量流水数据中余额连续、计算正确的程度。
![descript](data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAl0AAAC8CAYAAABCBRslAAAABHNCSVQICAgIfAhkiAAAAAlwSFlzAAAOxAAADsQBlSsOGwAAIABJREFUeJzs3XecFPX5wPHPlJ3dvd7h7oCj9w4WmopiAUuU2LtiLDFqLNHEHhMTjTXG3mIhqKAiimJDQURFEJB6lDvaVa7AlW1Tf3/s3SoCivnBKfF5v173UnZnZr87O+WZb3m+SnPY9hBCiP8hnieXNbF7iqL8qOXleBI/ZE+PKX0fl0MIIdrcj72pCvF95HgSe4v6UxdACCGEEOKXQIIuIYQQQog2IEGXEEIIIUQbkKBLCCGEEKINSNAlhBBCCNEGJOgSQgghhGgDEnQJIYQQQrQBCbqEEEIIIdrAf5UcVbLzCiGEEOKX7scmzt3joKs10PI8T4IuIYQQQvzitQZdiqLsUQC2R0GX53m4rovnua0vxP/zXxZSCCGEEGJ/pgBeIuhSURQFVf3+Xls/GHS1BlyO4xDwawT8vr1SWCGEEEKI/Z1tu0SiFq6n/GCN1x4FXY7joKkQ8Ptk4k8hhBBCiBY+n4aHR3PIRFEUNE3b7bLfWw/W2n/LcRw0bc/aK4UQQgghfklURcF1nZauWLvvfPWDKSPizYuOdJ4XQgghhNgNz3V/cJk9ytMl8ZYQQgghxO55/HB2hz1MjupJ5CWEEEIIsTt7ECZJRnohhBBCiDYgQZcQQgghRBuQoEsIIYQQog1I0CWEEEII0QYk6BJCCCGEaAMSdAkhhBBCtIE9mvD6x3JdF9M0sW0bVY1PAmkYBqFQCL/fj2EYiez2ruvS1NREIBBA0zTcXSQX03V9l5NIuq6LbdvEYjE8zyMYDOLz+bBtm0gkgm3bO62jqirBYBDDMPA8j0gkguu6JCUloaoqlmURjUbRdZ1gMLjL72dZFrFYDJ/Ph9/v/3/uLSGEEEL8EuyToKuhoYHHH3+crKwsSkpK6NChAyeeeCK33XYbp556KuPGjUPTNFRVJRqNMmnSJG644QYaGhooLS0FQFGUxGTbxxxzDPn5+axdu5bt27fjui6u6xIOh6mqqmLt2rVUVVVx22230bVrV+rr67nzzjsxTZPU1NREuWKxGKFQiN/+9rcMHToUz/N47bXXWLNmDTfeeCOBQIA1a9Zw0003cfrppzNx4kT8fj+WZVFfX09zczMA1dXV3HfffVx66aV07doVgEAgQE5OjgRhQgghhNilfRJ0eZ5HWVkZtbW1lJaWUlpayoQJEygtLaW4uBjTNMnKymLgwIHU1NRQWVlJWVkZCxYsYN26dRx00EEYhkE0GuW9995j0KBB5OTkcNdddxEOh8nKysIwDGpqaujYsSOjRo2ib9++ZGVl4TgOpmmyZcsWcnJySEpK2qFsa9asIRQK4boujY2NVFdXU11dTUNDA01NTUydOhVVVXnzzTcZOHAgvXv3xjRNnnzySYqLi2lqaqKmpoZoNMrNN99MdnY2mZmZtG/fnjvuuEOCLiGEEELsknbjTbfe/n0LeJ6HbdsYPg3D8O3RRhcvXszMmTNZvnw5zc3N+P1+dF3n66+/JhKJMGvWLCorKznssMO4/vrrqaysZM2aNei6TkVFBQ0NDZSUlFBRUUEsFuOoo44iNzeX1157jUAgQH5+Pn6/n/LycmpqavA8j+LiYjZt2kT37t0xTZNPP/2U5ORkAoFAYuJuz/Nobm5m5MiR5Obm8txzz/H6669TWVlJdXU1a9euZcGCBVx77bVUVVUxa9YsBg0aRHJyMt26daNz586UlZWRmpqKbdv07t0bTdM4++yzOeqoo0hLS8MwjL3xuwghhBBiP+G6HpGoiabpaJqW6EL1Xfsk6AIoLS2lqqoKz/MYMGAAubm5LFu2jHvuuYePPvqI6667jk6dOjFq1CjeeustrrzySmpra/H5fFx44YV88sknjBkzhvPPP59u3bqh6zpvvvkmffr0YfDgwWRlZbFy5Uq6devG8OHDKSwsTCw3bdq0xBe2bRvLsrAsC9u2ycjIoLy8nMzMTEaMGMHmzZuxbZuCggLmz5+P67osWLCAmpoampqaWL9+PR07duTuu+9m7ty5jBs3jrFjx7Jy5UrOOOMMunTpwjPPPMNnn31Gly5d6NChw57/SkIIIYTY7+1p0LVPmhc//fRTPM/j5JNPprKykgEDBvDxxx/jOA4rVqzAsizat2+PruuJTvXFxcXU19ezYcMG7rvvPmpqanjnnXeYP38+p556KsceeyyKopCbm8vLL79MJBIhHA5TXFxMSUkJgUCA++67j4KCAsaPH8/cuXOxbRtFUYjFYui6js/nwzTNRLNhTU0NxcXFlJWVUVRUxI033ojjOFRWVtKnTx8qKyvJycmhZ8+eXH/99Tz++ONMmTKF7OxsPM/j+eefp7m5mWAwyC233EJRUdG+2J1CCCGE+B+wT4KuAw44gLS0NP7xj39w/vnnk5ubyznnnENpaSmTJ08mGAySmprK9u3bueeee2hqamLJkiWoqsqBBx7Iqaeeyq233srRRx/NuHHjKCwsxHVdPM8jKSmJWCzGH/7wByoqKqisrKRnz5489dRT2LZNIBDAtm0++OADTjvtNHw+H08++STjx4+nS5cuTJs2jYyMDEaOHMm8efMS6/fq1YupU6eSlpZGRUUF7dq148UXX+Saa64hNTWVTp06oes6Xbt2Zfz48YnvumrVKr766isKCgp26j8mhBBCCNFqn+Tpsm2b119/nbS0NDZv3sy9995LcnIyRxxxBDU1NQwaNAjDMAgEAnTq1IlgMMi5555LOBymubmZP//5z4RCIWbOnMltt91GJBJJpHbIzMxE1+PVd4sWLcI0TdLT09H1b+LH1hq01tccx8HzPDRNwzAMfD4fjuOwZs0aBg4cSF5eHhMnTqRjx47U1dURjUZZuHAhiqJQWFi4w3erqqriq6++4quvvmLRokWsW7cuUY24u+pEIYQQQoh9EnQVFRURCoUIBoM0NDSQmZlJ586dKS8vR1VVNm/eTHNzM4FAgHPOOYdAIEBzczOhUIh27dpRUFDAgw8+yM0330w0GiUWi1FSUoKiKHTq1InMzEwWLlzIqlWrUBSFjRs34vf7EyMHU1NTueCCC/D7/di2jeu6OI6DbdtMmDCBIUOGYBgGkyZNYuDAgWiahs/no0+fPiQlJTF69Giqq6tp3749qampOI4DQEpKCqZpsnLlSlauXMmqVauoqakhPT0dYJc5xoQQQgghYB81L9bV1TF27FimTp1KNBpFVVXmzJnD5MmTueCCC3jnnXd44oknuPzyyykrK8M0TdasWUNycjL5+fksW7aMmTNnEolEsCwLx3GYPXs23bt3p7m5ObG9Cy64gKysLJ5//nlisRibN28mKSmJ9evXs27dOlzXTWyjoqICny8+EMB1XfLy8ujUqVNidOPGjRvZtm1bYkTihg0b6Ny5MwsXLqRXr158+eWXdOrUidzc3J2+r2EYzJkzh9GjR5OTk7MvdqkQQggh9nP7JOiqqKigrKyMBx54gIKCAjZv3kw4HOaUU05h4sSJHH300Tz++OPous6UKVPo168f48ePp6ioiA4dOlBSUsLgwYOJxWJs27aNlJQUDjnkEPLz85kxYwa9evXi5ptvJj8/H03TGD58OLNnz2bbtm2Ew2HmzZtHKBQC4k2LQ4cOBaC8vByINxEWFhaSk5NDfn4+oVAIz/MIhUKJpshDDz0URVHYtm0bqqpSW1uLaZpomrbT93Uch7q6OmleFEIIIcRuKc1h29vdm57n4TgO0WiE5KBBSsqedRS3LAvXdfH5fKiqmmjeUxQFTdMSaSh0XceyrER/K0VREkGPruuJ9Vqn7FEUJTEi0efz7RDkWJaV+LfjON/b1KcoCrqu7/D5reX8rtZpjFo78n/fNluz7AshhBDil8O2Heq3NeEz/DvFJ9+2T2q6WpvxWqmqukMw0joXI7BTBvdvd4jflV3VNH33M39oG99X1h/7uUIIIYQQe0KqZYQQQggh2oAEXUIIIYQQbUCCLiGEEEKINiBBlxBCCCFEG5CgS
#### **第二部分 初核结果总览**
` `本页面为创建的项目中上传的数据经过模型识别出的风险信息总览及明细。
1. ##### **风险总览**
###### ` `**1风险全局仪表盘**
` `**功能**:以数据卡片形式集中展示项目整体风险态势。
` `**总人数**项目覆盖的员工总数500人
` `**无预警人数**432人
` `**低风险人数**38人
` `**中风险人数**20人
` `**高风险人数**10人
###### ` `**2高风险/中风险人员名单**
` `按风险评分降序排列以列表形式展示所有高风险人员清单以及中风险人员中评分最高的10名员工。信息包括姓名、身份证号、部门、**风险评分**、**触发模型数**、**核心异常点**(系统自动提炼的最显著风险)。
###### ` `**3查看单个风险人员详情**
` `点击每个风险人员的【查看详情】入口,可钻取至单个员工的全面风险报告。包括其所有**异常行为列表**、每个行为对应的**模型判断依据**(规则),以及资产分析、征信概览、关系人图谱等模块。并且针对可疑交易及可疑对象,可以手动添加至关注方。
` `风险总览:
![descript](data:image/png;base64,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
` `单个人员详情中的**异常明细**页面:
![descript](data:image/png;base64,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
` `单个人员详情中的**资产分析**页面:
![descript](data:image/png;base64,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
` `单个人员详情中的**征信摘要**页面:
![descript](data:image/png;base64,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
1. ##### **风险模型**
###### ` `**1模型触发情况总计**
` `**内容:**以表格形式展示所有风险模型的整体触发情况。包括:模型名称、触发总人数、主要触发人员示例。
` `**操作**:点击任一模型的“查看详情”,可跳转至触发该模型的全体人员列表(即“单模型触发列表”)。
###### ` `**2各模型触发人员列表**
` `**内容:**通过下拉菜单选择**触发某一特定风险模型如“大额交易”、或者同时触发多个如2个以上风险模型**的高风险人员、或者通过“搜索人员姓名或工号...”进行精确查询,并支持将常用的筛选组合保存为固定策略,便于下次一键调用。
` `**操作:**通过查询可以得到该模型的所有触发人员,并且点击【查看详情】可查看该员工详细的风险情况。
` `**模型触发情况、单模型/多模型筛选触发视图:**
![descript](data:image/png;base64,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
1. ##### **风险明细**
###### ` `**1涉疑交易明细表**
` `**功能:**展示 **涉及可疑交易** 的记录,支持按「全部可疑人员类型」「名单库命中」「模型规则命中」等维度筛选数据,且支持穿透式查看交易流水,用于定位异常资金往来。
` `**内容:**包括交易时间、可疑人员、关联人、关联员工(姓名+柜员号),关系(是否是员工本人、或者配偶等关系)、摘要、交易类型、交易金额等字段。
` `**操作:**点击「查看详情」,将跳转至可疑流水详情页,展示该条流水的交易对手、交易类型、交易时间等完整信息。
` `明细表列表内容:
![descript](data:image/png;base64,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
` `可疑流水查看详情:
![descript](data:image/png;base64,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
###### ` `**2涉及违法人员清单表**
` `**内容:**展示经系统识别、在外部违法名单库中命中的人员信息,用于快速定位高风险人员,包括违法人员姓名、身份证号、**是否为失信被执行人、是否有刑事判决记录、是否有行政处罚记录、是否涉及公安案件、是否被限制高消费**、违法信息更新时间等字段。
` `**操作:**点击「查看详情」,将展示该人员的违法详情、更新日期等完整背景信息,辅助纪检核查。
![descript](data:image/png;base64,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
![descript](data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAl0AAAJkCAYAAAAr95ROAAAABHNCSVQICAgIfAhkiAAAAAlwSFlzAAAOxAAADsQBlSsOGwAAIABJREFUeJzs3Xl4lfWd///n2bfse0ICCQkBQiAkhLBHCCAUFAUBtWO1tnZxulwdp14z1ziL33bm0uqMndYuWlpbK3KBYIvsyBYQQth3EiAkZCMn+3KSs59z//7gd+4xTUC0kEr7flyXlyTnvj/3575zltf5bLdGURQFIYQQQghxV2n/0hUQQgghhPhbIKFLCCGEEGIISOgSQgghhBgCErqEEEIIIYaAhC4hhBBCiCEgoUsIIYQQYghI6BJCCCGEGAISuoQQQgghhoCELiGEEEKIISChSwghhBBiCEjoEkIIIYQYAhK6hBBCCCGGgIQuIYQQQoghIKFLCCGEEGIISOgSQgghhBgCErqEEEIIIYaAhC4hhBBCiCEgoUsIIYQQYghI6BJCCCGEGAISuoQQQgghhoCELiGEEEKIISChS/zFKYqCoih/6WoIIYQQd5X+bhbu9/vp6uoiGAwSGxuLTqcbdLtgMIjD4aClpQWj0UhiYiJms3nQbQOBAB6Ph0AgcNv10Ol0GI1G9PqBpxs6tt/vJyIiAoPBMGgZDoeD9vZ2FEUhNjaW8PBwNBrNoNv6fD66u7sxGo2EhYWh1Q7MtoFAgNbWVhwOBxaLhfj4eEwm022fU4iiKLS0tKjlJCYmDnqet9rf7XYTCARuO/iYTCaMRuOgj/X19dHT00NcXFy/axkIBGhvb8fpdJKUlKT+fQOBAM3NzfT29hIfH09UVFS/6xrar7u7G6vVSlJS0oDnkaIo9PX10dzcjFarJS4ujvDw8Nu+BkIIIcRQuGuhKxAIUF1dzZtvvonL5eIb3/gGo0ePVj9sg8EgwWAQrVaLy+Vi27Zt/Mu//AsjR47klVdeYdKkSYOW29HRweHDh2lqarrtuiQkJFBYWEhaWlq/3yuKgt1uZ/369djtdpYtW8aECRMGDT/79+/ntddew+Vy8Y//+I889NBDgwY0v9/PhQsXePfdd0lLS2PJkiWkpqYOCEK9vb28/PLLbN68mfz8fF588UVyc3Nv+5xC3G43r7zyCps2bWL69Om89NJLpKSk3Pb+fr+f/fv3U19fTzAYvK19ioqKyM/PH/B7p9PJBx98wLZt2/jWt75Ffn4+ZrMZRVHo6Ojg1Vdf5cCBA/znf/4nJSUl6HQ6Ojo6+NGPfkRpaSnf/OY3+epXv9ov0HV2dvL666/z+9//npkzZ/L6668THh5OW1sbTqcTuBFyjx49yssvv0xYWBhf+9rXKCkpAUCj0RAWFkZcXNyg4VcIIcRfP6/Xi8/nw2q13rTBJCTUGKHRaG7aAPRZ3bXQ5Xa7OXbsGPv376e1tZWLFy/y/e9/n+LiYsxmM/X19bS0tJCQkEBCQoK6n8fj4dq1a1itVgDMZjNJSUlYLBYA7HY77777LuXl5SiKooY3jUaDTqdTL+bHHyssLCQ+Pn5A6PJ6vZw4cYLt27dTWVlJTU0Nf//3f09eXh69vb309PSo2zY0NODxePB6vTQ2NlJZWakGKbPZTEJCAjabje7ubrZs2cKOHTtwuVxcv36dp556ilGjRn2qFqih4vP5WLduHXv37kWv1xMTEzPoEzIYDNLe3o7H4+GFF14YELoURaGhoYF33nmHixcvcuHCBX74wx9SUlKCxWJBp9PhcrloaWnhjTfeICcnh8TERGpqajh06BCBQACj0XjTlsaPs9vtvPrqq5SVlanHdrvddHV14XA4+J//+R/efPNN4MbfZt68eTz33HNERETcgSsmhBDiXqIoCnV1dVRVVTF58uSbfs6Ftu3u7ubcuXPYbDYKCgruaF3uWgqw2WwsW7aM2NhYXnvtNa5cucKLL77ICy+8wLRp03jrrbfYsGEDS5cu5fnnn1f3q66u5jvf+Y7684QJE3jppZfUD/mwsDDGjx+PTqfD4/FQX19PY2MjMTExZGVlqeHM4/FQV1fH9evXCQsLIyoqakAdTSYTJSUleL1eVq1aRXl5OcFgkCVLlnDw4EE2bdo06Ln96Ec/4kc/+pH6c35+Pv/8z//MrFmziI2N5cknn8Tj8bBp0ybWrl2LVqtl5cqVWK1WfD4fcKOlK9T16nQ6uXr1ar8ngc1mIzk5+TN1OX5WeXl5PPvss4Me0+Px8PLLL1NRUTHovhqNhqysLF555RX+4z/+g9OnT/Ov//qv/PjHP2bKlCn09fWxePFiSktLqaioYPfu3cycOZN9+/Zht9vJyMhg7NixtLW1ERUVNWj4CgQCuFwuNBoNKSkpjBw5ErgRCDs7O+np6cFgMJCUlKQGebPZTGJi4k27toUQQvz1CwaDNDc3U1payuzZswcNXoqi0NXVxbFjx7Db7YwZM+aO1+OuNr1YLBbmzZtHSkoKr732Gm1tbRgMhluOHTKbzQwbNkxt6crKylL/DZCRkcG//uu/AtDc3MyqVat48803KSws5Ac/+IHamlVTU8Prr7/OH//4RxITE4mPjx/0eDabjcWLF2MwGPjVr35Fc3MzNTU1xMbGMn78eHW77u5uWlpaCAaDJCQk9Bt7lJmZSVhYmLrt8OHD+e53v4vNZmPr1q10dXXx7rvvsn//fhoaGgbU4fTp0zz77LP9fjdr1ix+8IMfMHr06FteY+CODUIPDw9n5MiRgzanulwubDbbLffXarXk5ubyv//7v/zbv/0btbW1dHR0cOrUKd566y18Ph9arZZgMMiuXbvYvXs3Z86cQaPR4PV6eeutt0hJSeEb3/gGiYmJtLa2Ul1dTUdHhzp2bdeuXUyZMoWvf/3rXLp0Ca/Xi9/v5+zZs7z55pvYbDYWLVrElClT1HMaNWrUJ9ZdCCHEX6dQo0B3dzcVFRWUlpZy3333ERsb2693rLOzkyNHjtDc3MzIkSOZOHHiHa/LXQtdocHNnZ2d6jit2tpaCgoKaG9vv+l+GRkZtxzT9UnHDP2/paWFmpoaoqKiyMzMHLSlKyTUBRXqAps3bx4Wi4Wenh48Hg8Ae/bsYdWqVXg8Hp555hnuv/9+9Ho9Wq2WiIgI9UP9491wjz76KBMmTCArK4tLly7R1NSkdnEFAgHsdjs9PT1YrdYBkwdGjBhxW61cPp+P3t5eAoEAfr//tsdlDeb06dP84Ac/GLQbNBAIcOXKlU8sQ6PRkJaWxquvvsq1a9fIz89n7969XLx4EbgRcv1+PwcPHsTn8xEeHk5qaioAFy9epK+vD6/XS3d3N2+++Sa///3vCQaD+P1+KisreeWVV3jssccoKSnhpZdeUgOZy+Wit7cXp9PJ6tWr+eMf/whATk4O3//+9xk7duxnvi5CCCHubVqtVs0VFRUV7N+/n+LiYuLi4gAGBK5p06bd1nCXT+uuhC5FUejp6WHnzp1s3bqVpUuXMmvWLCZOnIjdbufSpUu0traqM9POnz+vDuR2u91cuXKlX3eQ1WolNTW1X4sX3Ag4Pp8PRVHwer1qQPL5fDQ1NXH9+nUsFgsajYarV68CN1rfQuOvPs5qtbJ48WL15ytXrrBx40a1O+369es0NzcTCATYsGEDhw8fRqPRYLVaefjhh5k1axYmk4nW1lZ+85vfcOXKFZYtW8Z9991HeHg4I0aMYNasWWoocjgcvPzyy+zcuZNx48bx/PPP9wsGBoNhwPkOpq+vj7a2Nvx+P83NzXR3d5OSknLbg8a1Wi3Dhw8nJycHv9/P9evXb7ptamoqqamp6pM0JBAIUFNTQ29vb79yx44di16vJz8/n1dffRW48dxobW3lxz/+MY2NjRQXF/Pkk0+q+9lsNhISEnC5XOoYOoPBgEajwWAwEAgEOHXqFLNmzeIrX/mK2tJVWVnJ2rVrsdlsfOELX1C/oYRmjzocDpnRKIQQf8M+HrwqKyvV4KXX6ykvL6e1tfWuBi64S6ErGAzS1NTEBx98QHl5OcePH+epp55i/vz5rF+/nt/97nfqtlu3bmXr1q3qzzU1NTz33HP9ysvLy+Oll14a0NTndDrp6OhQ+2qvX
###### ` `**3异常账户清单表**
` `**内容**:独立列出经模型识别出的所有异常账户,用于监控账户异动,防范资金风险。信息包括:账号、开户人、银行、**异常类型**(如“突然销户”、“异地启用”)、异常发生时间、状态(如「已销户」「正常」「冻结」)等字段。
` `**操作**:点击「查看详情」,可以查看该账号的所有异常交易明细。
![descript](data:image/png;base64,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
![descript](data:image/png;base64,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
#####
1. ##### **批量导出数据及报告**
` `支持将上述所有列表(人员列表、异常清单等)**导出为Excel**。并可一键生成**项目多维统计报告**PDF/Word从模型触发排行、部门风险分布、风险评分区间等多维度进行分析总结。
#### **第三部分 专项排查**
` `本页面为针对单人用户的的深度调查:
1. ##### **员工详查分析**
` `**功能:**输入目标员工的**身份证号,**可选择自定义时间范围,即可根据检查对像及其主要家庭成员(配偶等),根据收入、资产、负债三者的关系进行初核判断,形成正常、收入+负债远低于资产、收入+负债远高于资产等结果风险提示。
![descript](data:image/png;base64,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
##### **2、图谱分析**
` `**功能**:通过图形化方式,揭示隐藏的人员与资金关系网络。输入身份证号,点击“**生成图谱**”,结果在右侧可视化区域动态呈现。
###### ` `**1关系人图谱**
` `通过身份证号等信息,可筛选展示以该员工为中心的**社会关系网络**(如家庭成员、密切关联人),点击节点可查看详情。再点击关联企业可以穿透查询企业下的法人、股东等信息。
![descript](data:image/png;base64,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
###### ` `**2资金流图谱**
` `针对个人的资金流向图谱中的可疑资金,**向前追溯多层**交易对手。且资金流向分析中支持:手工加入资金流向节点,或备注资金流向。
![descript](data:image/png;base64,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
![descript](data:image/png;base64,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
###### ` `**3实控账户图谱**
` `输入身份证号,生成该员工**实际控制**(可能非本人名下)的账户网络图。排查逻辑主要基于手机登录丰收互联次数、线下多次代理存取等进行判断。
![descript](data:image/png;base64,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
3. ##### **拓展查询**
###### ` `**1采购查询**
` `**功能:**用于纪检/内审人员查询特定采购事项的核心信息,聚焦“采购集中度、金额异常”等风险排查。可筛选查询的采购时段,以及关联员工,查询其参与的所有采购。
` `**内容:**清单包含采购事项名称、交易日期、采购金额、供应商名称、关联员工等核心字段。也可穿透展示采购全量信息(采购方式、入围/中标公司、经办人、对方账号等)。
![descript](data:image/png;base64,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
###### ` `**2人员调动查询**
` `**功能:**查询员工的岗位/机构调动记录,辅助排查“异常调动、岗位晋升合规性”。可选择查询时间和员工姓名,查询其所有调动记录。
` `**内容:**包含姓名、工号、调动时间、原/现岗位、原/现机构、调动原因等核心字段。
![descript](data:image/png;base64,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
###### ` `**3招聘查询**
` `**功能:**查询招聘事项信息,辅助排查“招聘流程合规性、面试官关联风险”。可筛选查询时间段和员工姓名,查询其招聘详情。
` `**内容:**包含招聘人员、岗位、招聘时间、关联面试官、面试结果等核心字段。
![descript](data:image/png;base64,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
#### **第四部分 流水明细查询**
` `本页面为流水明细查询,对拉取的本行流水以及上传的他行流水进行批量分析。实现功能如下:
##### ` `**1、多帐户流水明细合并**
` `可以将多个银行的流水合并成一个流水文件,左侧为筛选内容,可以筛选账号和银行进行查询;主页面可以选择按交易金额、交易时间等自主排序。且可切换对手方分析
![descript](data:image/png;base64,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
##### **2、全量流水二次分析**
` `对全量流水表中的关键流水,可以进行手工提交“加入分析”,实现将关键流水重新放置在一个新的交易表中进行分析。
![descript](data:image/png;base64,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
###
### **三. 信息维护**
1. ##### **中介库管理**
` `**功能**:建立并维护外部**中介人员/机构黑名单库**。支持Excel导入更新。当员工交易对手命中该库时系统将自动产生高风险预警。
![descript](data:image/png;base64,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
1. ##### **员工信息管理**
` `**功能:对员工实控账户、实控手机号、关系人信息等进行批量维护**
` `**说明**:对于系统无法自动获取或关联的**员工附属信息**(如经查实的实际控制账户、未在户口本上的特定关系人等),提供手工录入与维护功能。
![descript](data:image/png;base64,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
1. ##### **信贷客户家庭关系维护**
` `可以上传并且维护信贷家庭关系表格信息。
![descript](data:image/png;base64,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
###
### **四. 参数配置**
` `**功能:模型参数管理**
` `**说明**:提供风险模型核心参数的维护界面、细化阈值规则。筛选模型名称:筛选(可选**大额交易模型、可疑兼职模型、可疑外汇交易模型**三种),得到 **阈值参数配置** 内容如下:
##### **1、大额交易模型**
` `识别大额 / 高频资金交易,检测调整单笔交易额、频繁转账次数等阈值
![descript](data:image/png;base64,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
##### **2、可疑兼职模型**
` `识别异常额外收入,监测调整月度固定收入、固定对手转入等阈值
![descript](data:image/png;base64,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
##### **3、可疑外汇交易模型**
` `识别异常外汇收支,监测调整单笔购汇金额、频繁外汇交易次数等阈值
![descript](data:image/png;base64,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
### **五. 系统管理**
##### **1、用户权限**
` `系统管理员可对访问系统的用户账号进行增、删、改、禁用等操作。
![descript](data:image/png;base64,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
2. ##### **项目统计**
` `根据年度、组长、对像、成果等进行项目统计
![descript](data:image/png;base64,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
##### **3、操作日志管理**
` `记录用户的关键操作(登录、数据导入、模型运行、报告生成等),支持按时间、用户、操作类型进行查询。
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