客户案例 Customer Cases
1 汽车零部件装配工序SOP监测和纠偏 Auto Parts Assembly SOP Monitoring and Correction
检测产品放置区域是否有放入待装配产品，检测后确认该个产品作业流程测试的开始。
Detect if products are placed in the designated area, confirm the start of assembly workflow testing.
在产品放入待装配区域下，检测4台设备内是否放入铁片，若设备上放检测到铁片，视作检测完成。
Detect if iron pieces are placed in 4 devices in the assembly area.
基于定制的零件目标检测算法，检测到白色垫圈被放在车槽轮，检作为全部装好后,进入下一流程检测。
Detect white gaskets placed on wheel grooves based on custom detection algorithm.
检测装配工作台预留的绿色按键，当检测到红工手指放置于按键上方检测后，进行4处位表设备开关，进入下一流程检测。
Detect green button press on assembly workstation.
检测到扫码枪放置于产品条码上，视作为产品扫描完成，进入下一流程检测。
Detect barcode scanner on product barcode.
2 "厂中厂"消防联动 "Factory in Factory" Fire Protection Linkage
园区（厂区）存在多家企业同租厂房的场景下，出现火灾警情后，告警通知、引导逃生的及时性一直是消防预警的重点、难点。通常情况下，要经历"发现警情、上报涉灾企业、企业通知房东、房东通知合租企业、合租企业再下发通知"的过程，存在"风险环节多、预警效率低、夜间隐患大"的问题。
In scenarios where multiple enterprises share factory buildings in industrial parks, timely alarm notification and evacuation guidance after fire alarms has always been a key challenge for fire warning systems.
火焰检测
Flame Detection
烟雾检测
Smoke Detection
系统联动流程图
System Linkage Flowchart
- 可对接厂区内各家企业的监控系统，对易燃易爆区的视频进行"火焰"、"烟雾"实时自动AI监测。
- Can integrate with monitoring systems of enterprises in the factory area for real-time AI detection of "flame" and "smoke" in flammable and explosive areas.
- 出现烟火隐患第一时间通知到各个生产厂区的直接负责人及相关领导，并可通过电话自动拨叫，通知监测到火情的摄像机点位。
- Immediately notify responsible persons and leaders of production areas when fire hazards are detected, with automatic phone calls to notify camera locations.
- 同时根据预设规则，与声光电告警系统联动，及时通知周边区域生产作业人员及时逃生。
- Simultaneously link with audio-visual alarm systems according to preset rules to notify nearby production personnel to evacuate in time.
3 井下漏铝事件监测及铸造作业规范管控 Underground Aluminum Leakage Monitoring and Casting Operation Control
业务场景痛点 Business Pain Points
深井铸造存在漏铝风险
Aluminum Leakage Risk in Deep Well Casting
深井铸造等高风险作业过于依赖员工个人主观经验，生产工序周期长导致员工安全意识松懈的风险难以察员。
High-risk operations rely too much on workers' personal experience, long production cycles lead to lax safety awareness.
现场作业监管
On-site Operation Supervision
现场存在作业人员离岗、串岗等违规行为，同时监管人员（尤其夜班）可能睡岗、玩手机，传统巡检难以覆盖。
On-site violations such as leaving posts, and supervisors may sleep or use phones during night shifts.
制度规范落实
System Implementation
日常安全生产管理存在缺数据、难考核的问题，受个人素养、人情等因素影响，安全制度难以落实。
Daily safety management lacks data and assessment difficulties, affected by personal qualities and relationships.
方案落地效果 Solution Results
漏铝实时告警
Real-time Aluminum Leakage Alert
实现了铸造作业全周期内的漏铝风险监测，AI智能识别井下异常，杜绝"小漏变大漏"。
Achieved full-cycle aluminum leakage risk monitoring, AI intelligent detection prevents small leaks from becoming large.
规范铸造作业
Standardized Casting Operations
自动识别员工的堵漏作业行为，实现了从漏铝告警到堵漏消警的业务闭环。
Automatically identify employee leak repair operations, achieving closed-loop from alarm to repair.
安全制度落实
Safety System Implementation
风险自动分级，违规操作自动留痕，对员工行为形成有效约束，助力企业实现安全生产风险由"人防"到"技防、智防"转型。
Automatic risk classification and violation recording, effectively constraining employee behavior.
