如何开发一套EHS健康安全环境管理系统中的风险管理板块？（附架构图+流程图+代码参考）

rust
[移动端/巡检App]  <--->  [API 网关]  <--->  [后端服务群]
   | 上传图片/视频          | 认证/限流         | Risk Service (Node)
   | 离线缓存/同步          | 路由              | Inspection Service (Python)
   | 短息/推送               | 日志/审计         | Auth Service (JWT)
                         <--> 数据库(Postgres) 
                         <--> 时序DB（Prometheus/Influx）用于监控传感器
                         <--> 文件存储(S3)
                         <--> BI/ELK（ES）用于报表/全文检索

arduino
触发来源（定期计划 / 上报 / 传感器） 
    ↓
系统生成巡检任务（Task）
    ↓
下发到巡检人员手机（含表单、拍照、定位）
    ↓
巡检人员现场采集（图/视频/语音/勾选）
    ↓
若发现隐患 => 生成风险记录（Risk），并关联现场证据
    ↓
自动或人工 LEC 评估 => 风险等级确定
    ↓
系统根据策略生成整改任务并分派责任人
    ↓
责任人整改并上传证据
    ↓
安全主管复核并关闭或再次评估

sql
-- users
CREATE TABLE users (
  id SERIAL PRIMARY KEY,
  username VARCHAR(64) UNIQUE NOT NULL,
  name VARCHAR(128),
  role VARCHAR(32),
  phone VARCHAR(32),
  created_at TIMESTAMP DEFAULT now()
);
-- risks
CREATE TABLE risks (
  id SERIAL PRIMARY KEY,
  title VARCHAR(255) NOT NULL,
  description TEXT,
  location VARCHAR(255),
  source VARCHAR(64), -- inspection/report/sensor
  l INT, e INT, c INT,
  score INT,
  level VARCHAR(16), -- low/medium/high
  status VARCHAR(32) DEFAULT 'open', -- open/in-progress/verified/closed
  created_by INT REFERENCES users(id),
  created_at TIMESTAMP DEFAULT now()
);
-- tasks (for inspections/rectifications)
CREATE TABLE tasks (
  id SERIAL PRIMARY KEY,
  risk_id INT REFERENCES risks(id),
  assignee INT REFERENCES users(id),
  type VARCHAR(32), -- inspection/rectify/review
  due_date DATE,
  status VARCHAR(32) DEFAULT 'pending',
  evidence JSONB, -- links to S3
  created_at TIMESTAMP DEFAULT now()
);
-- inspections
CREATE TABLE inspections (
  id SERIAL PRIMARY KEY,
  task_id INT REFERENCES tasks(id),
  inspector INT REFERENCES users(id),
  result JSONB,
  location GEOGRAPHY(Point,4326),
  photos JSONB,
  created_at TIMESTAMP DEFAULT now()
);

js
// app.js (Express)
const express = require('express');
const bodyParser = require('body-parser');
const { pool } = require('./db'); // pg pool
const app = express();
app.use(bodyParser.json());
// 创建风险（来自巡检或上报）
app.post('/api/risks', async (req, res) => {
  const { title, description, location, l, e, c, created_by, source } = req.body;
  const score = l * e * c;
  const level = score >= 61 ? 'high' : (score >= 21 ? 'medium' : 'low');
  const result = await pool.query(
    `INSERT INTO risks (title, description, location, l, e, c, score, level, created_by, source)
     VALUES ($1,$2,$3,$4,$5,$6,$7,$8,$9,$10) RETURNING *`,
    [title, description, location, l, e, c, score, level, created_by, source]
  );
  // 根据level触发任务创建逻辑（省略）
  res.json(result.rows[0]);
});
// 根据规则创建整改任务（伪代码）
app.post('/api/tasks/generate', async (req, res) => {
  const { risk_id } = req.body;
  // 根据 risk.level 查找责任部门与默认时限，生成 task
  // ...
  res.json({ ok: true });
});
app.listen(3000, ()=>console.log('API listening 3000'));

python
def lec_score(l, e, c, weights=(1,1,1)):
    # 支持自定义权重与映射
    wL, wE, wC = weights
    score = int(round((l * wL) * (e * wE) * (c * wC)))
    # 映射等级
    if score >= 61:
        level = 'high'
    elif score >= 21:
        level = 'medium'
    else:
        level = 'low'
    return score, level

jsx
import React, { useEffect, useState } from 'react';
import axios from 'axios';
import { ResponsiveContainer, BarChart, Bar, XAxis, YAxis, Tooltip } from 'recharts';
export default function RiskLevelChart() {
  const [data, setData] = useState([]);
  useEffect(()=> {
    axios.get('/api/dashboard/risk-levels').then(r=>setData(r.data));
  },[]);
  return (
    <div className="p-4 bg-white rounded shadow">
      <h3 className="text-lg font-semibold mb-2">风险等级分布（近30天）</h3>
      <ResponsiveContainer width="100%" height={240}>
        <BarChart data={data}>
          <XAxis dataKey="name" />
          <YAxis />
          <Tooltip />
          <Bar dataKey="count" />
        </BarChart>
      </ResponsiveContainer>
    </div>
  );
}

js
// core.js (伪代码)
const { pool } = require('./db');
async function createRisk(payload) {
  const { title, desc, location, l, e, c, created_by, source } = payload;
  const score = l * e * c;
  const level = score >= 61 ? 'high' : (score >= 21 ? 'medium' : 'low');
  await pool.query('BEGIN');
  try {
    const res = await pool.query(
      `INSERT INTO risks (title, description, location, l, e, c, score, level, created_by, source) 
       VALUES ($1,$2,$3,$4,$5,$6,$7,$8,$9,$10) RETURNING *`,
      [title, desc, location, l, e, c, score, level, created_by, source]
    );
    const risk = res.rows[0];
    // 自动生成整改任务策略（示例）
    let dueDays = level === 'high' ? 3 : (level === 'medium' ? 14 : 30);
    // 根据 location / risk type 查找默认责任人（伪）
    const assignee = await lookupAssignee(location);
    await pool.query(
      `INSERT INTO tasks (risk_id, assignee, type, due_date, status, created_at)
       VALUES ($1,$2,$3,$4,$5, now())`,
      [risk.id, assignee, 'rectify', new Date(Date.now()+dueDays*24*3600*1000), 'pending']
    );
    await pool.query('COMMIT');
    return risk;
  } catch(e) {
    await pool.query('ROLLBACK');
    throw e;
  }
}