diff --git a/vehicle-data-platform/apps/web/src/pages/Dashboard.tsx b/vehicle-data-platform/apps/web/src/pages/Dashboard.tsx
index 2d4a5e8e..154edfdc 100644
--- a/vehicle-data-platform/apps/web/src/pages/Dashboard.tsx
+++ b/vehicle-data-platform/apps/web/src/pages/Dashboard.tsx
@@ -1508,6 +1508,40 @@ export function Dashboard({
detail: '同一时间范围贯穿轨迹、统计、历史和告警。'
}
];
+ const customerTaskNavigation = [
+ {
+ title: '看车在哪',
+ value: `${formatCount(serviceSummary?.onlineVehicles ?? summary?.onlineVehicles)} 在线`,
+ detail: `${commandLocatedCount.toLocaleString()} 辆有有效定位`,
+ action: '实时地图',
+ color: 'green' as const,
+ onClick: () => onOpenMap({ online: 'online' })
+ },
+ {
+ title: '查这段时间',
+ value: dayRangeText(timeMonitorScopeValue.dateFrom, timeMonitorScopeValue.dateTo),
+ detail: '同窗查看轨迹和里程统计',
+ action: '轨迹统计',
+ color: 'blue' as const,
+ onClick: openTimeMonitorHistory
+ },
+ {
+ title: '导出数据',
+ value: `${formatCount(summary?.frameToday)} 今日数据`,
+ detail: '位置、原始记录和字段证据',
+ action: '历史导出',
+ color: 'blue' as const,
+ onClick: openTimeMonitorRaw
+ },
+ {
+ title: '处理告警',
+ value: `${formatCount(summary?.issueVehicles)} 告警车辆`,
+ detail: highPriorityIssue ? qualityIssueLabel(highPriorityIssue.issueType) : '当前无高优先级',
+ action: '告警事件',
+ color: (summary?.issueVehicles ?? 0) > 0 ? 'orange' as const : 'green' as const,
+ onClick: () => onOpenQuality(highPriorityIssue?.issueType ? { issueType: highPriorityIssue.issueType } : {})
+ }
+ ];
return (
@@ -1543,6 +1577,28 @@ export function Dashboard({
+
+
+ 客户任务导航
+ 先按客户问题进入业务页面
+
+
+ {customerTaskNavigation.map((item) => (
+
+ ))}
+
+
今日先处理
diff --git a/vehicle-data-platform/apps/web/src/styles/global.css b/vehicle-data-platform/apps/web/src/styles/global.css
index c27eb7c7..def63be5 100644
--- a/vehicle-data-platform/apps/web/src/styles/global.css
+++ b/vehicle-data-platform/apps/web/src/styles/global.css
@@ -460,6 +460,78 @@ body {
gap: 12px;
}
+.vp-fleet-task-router {
+ padding: 12px;
+ border: 1px solid rgba(22, 100, 255, 0.18);
+ border-radius: var(--vp-radius);
+ background: #ffffff;
+ display: grid;
+ gap: 10px;
+}
+
+.vp-fleet-task-router-head {
+ display: flex;
+ align-items: baseline;
+ justify-content: space-between;
+ gap: 12px;
+}
+
+.vp-fleet-task-router-head .semi-typography-secondary {
+ font-size: 12px;
+ line-height: 18px;
+}
+
+.vp-fleet-task-grid {
+ display: grid;
+ grid-template-columns: repeat(4, minmax(0, 1fr));
+ gap: 8px;
+}
+
+.vp-fleet-task-item {
+ min-height: 122px;
+ padding: 10px;
+ border: 1px solid var(--vp-border);
+ border-radius: 8px;
+ background: #fbfcff;
+ color: inherit;
+ cursor: pointer;
+ font: inherit;
+ text-align: left;
+ display: grid;
+ gap: 7px;
+ align-content: start;
+}
+
+.vp-fleet-task-item:hover,
+.vp-fleet-task-item:focus-visible {
+ border-color: rgba(22, 100, 255, 0.45);
+ background: #f5f9ff;
+ box-shadow: 0 0 0 3px rgba(22, 100, 255, 0.06);
+ outline: none;
+}
+
+.vp-fleet-task-item strong {
+ color: var(--vp-text);
+ font-size: 15px;
+ line-height: 21px;
+ font-weight: 700;
+ word-break: break-word;
+}
+
+.vp-fleet-task-item span {
+ color: var(--vp-text-muted);
+ font-size: 12px;
+ line-height: 17px;
+}
+
+.vp-fleet-task-item em {
+ color: var(--vp-primary);
+ font-size: 12px;
+ font-style: normal;
+ font-weight: 700;
+ line-height: 18px;
+}
+
.vp-fleet-next-actions {
display: grid;
gap: 9px;
@@ -6827,6 +6899,7 @@ button.vp-realtime-command-item:focus-visible {
.vp-action-grid,
.vp-fleet-monitor .semi-card-body,
.vp-fleet-monitor-stats,
+ .vp-fleet-task-grid,
.vp-fleet-monitor-trust,
.vp-vehicle-live-view .semi-card-body,
.vp-vehicle-live-main,
diff --git a/vehicle-data-platform/apps/web/src/test/App.test.tsx b/vehicle-data-platform/apps/web/src/test/App.test.tsx
index d9086877..46bf47bc 100644
--- a/vehicle-data-platform/apps/web/src/test/App.test.tsx
+++ b/vehicle-data-platform/apps/web/src/test/App.test.tsx
@@ -26,7 +26,7 @@ test('renders vehicle platform shell', () => {
expect(screen.getByText('地图看车、在线监控、异常优先')).toBeInTheDocument();
expect(screen.getAllByText('车辆服务').length).toBeGreaterThanOrEqual(1);
expect(screen.getByText('按 VIN、车牌、手机号管理车辆')).toBeInTheDocument();
- expect(screen.getByText('轨迹统计')).toBeInTheDocument();
+ expect(screen.getAllByText('轨迹统计').length).toBeGreaterThanOrEqual(1);
expect(screen.getByText('回放轨迹、统计查询、导出数据')).toBeInTheDocument();
expect(screen.getAllByText('告警通知').length).toBeGreaterThanOrEqual(1);
expect(screen.getByText('接入运维')).toBeInTheDocument();
@@ -802,6 +802,11 @@ test('dashboard exposes vehicle data center capability matrix', async () => {
expect(screen.getByText('客户主流程围绕车辆本身:地图看车、实时状态、时间窗复盘、统计查询、历史数据导出和告警通知。接入来源只作为追溯证据。')).toBeInTheDocument();
expect(screen.getByRole('button', { name: '车辆监控指标 车辆总数 1,033' })).toBeInTheDocument();
expect(screen.getByRole('button', { name: '车辆监控指标 在线车辆 208' })).toBeInTheDocument();
+ expect(screen.getByText('客户任务导航')).toBeInTheDocument();
+ expect(screen.getByRole('button', { name: '客户任务导航 看车在哪 实时地图' })).toBeInTheDocument();
+ expect(screen.getByRole('button', { name: '客户任务导航 查这段时间 轨迹统计' })).toBeInTheDocument();
+ expect(screen.getByRole('button', { name: '客户任务导航 导出数据 历史导出' })).toBeInTheDocument();
+ expect(screen.getByRole('button', { name: '客户任务导航 处理告警 告警事件' })).toBeInTheDocument();
expect(screen.getByText('今日先处理')).toBeInTheDocument();
expect(screen.getByRole('button', { name: '车辆运营建议 先处理告警车辆 进入告警' })).toBeInTheDocument();
expect(screen.getByRole('button', { name: '车辆运营建议 选择一辆车复盘 车辆中心' })).toBeInTheDocument();
diff --git a/vehicle-data-platform/docs/fleet-platform-product-research.md b/vehicle-data-platform/docs/fleet-platform-product-research.md
index 438c34f4..696fb340 100644
--- a/vehicle-data-platform/docs/fleet-platform-product-research.md
+++ b/vehicle-data-platform/docs/fleet-platform-product-research.md
@@ -8,6 +8,20 @@
- 告警和通知需要从“发现异常”延伸到“责任人、升级、闭环”,而不是只展示技术链路状态。
- 运维链路、消息队列、存储状态适合放在内部视图,作为客户问题排查的支撑层。
+## 2026-07-05 外部产品对标补充
+
+- Geotab 的公开资料强调一体化车队平台:GPS 车辆位置可近实时查看,并保留完整 trip history。这说明首页主任务应是“车在哪里”和“历史怎么回放”,原始协议只能是证据层。参考:https://www.geotab.com/
+- Samsara 的车队远程信息产品强调实时 GPS、车辆诊断、路线导航、燃料/能源监控和风险告警。这对应本项目的客户主路径:实时地图、车辆状态、轨迹、统计、告警。参考:https://www.samsara.com/products/telematics
+- Verizon Connect 的车队管理公开页面把 dashboards、reports、alerts、near real-time location、driver behavior、routing visibility 放在核心能力中。这说明客户视角需要“监控、报表、告警、路线/位置”并列,而不是把 Kafka、Redis、TDengine 放在第一层。参考:https://www.verizonconnect.com/
+- Geotab 关于远程车队管理的说明把数据流描述为:车辆采集位置和健康信息,经网络到云端,再在 Web/Mobile dashboard 展示实时报告和告警。这与本项目架构一致,但产品表达应从 dashboard 和 alerts 开始,而不是从接入来源开始。参考:https://www.geotab.com/blog/remote-fleet-management/
+
+## 对标后的产品改造规则
+
+- 首页第一屏只回答客户任务:看车在哪、查某段时间、导出证据、处理告警。
+- “32960 / 808 / MQTT”不作为主任务名称,只在车辆档案、历史证据、运维质量中作为来源可信度出现。
+- 自定义时间窗必须成为跨页面共享的查询意图:轨迹、里程、历史数据、告警复盘使用同一组参数。
+- 内部可观测性继续保留,但默认折叠在运维/依据层,避免客户把系统理解为“协议接入平台”。
+
## 本项目采用的产品原则
- 三个接入来源只是数据通道,最终服务对象是车辆。