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A person is welding a metal part in an automotive repair shop.
แอปพลิเคชั่นในโลกแห่งความเป็นจริง

การวิเคราะห์ข้อมูลที่ใช้ AI ในการเชื่อมยานยนต์

ตรวจจับและแก้ไขมือจับในอู่ที่ชำรุด ก่อนที่จะทำให้เกิดปัญหาการผลิตยานยนต์ การบำรุงรักษาเชิงคาดการณ์ที่ใช้ AI ของ Siemens ช่วยแก้ปัญหาที่เกิดขึ้น แทนที่จะพึ่งพาผู้เชี่ยวชาญในการซ่อมแซมฉุกเฉินที่มีราคาแพง

Automotive welding assembly line with workers in protective gear performing precision manufacturing tasks.

Challenge

A faulty welding clamp can disrupt automotive production lines—but fixed-interval maintenance may not catch the anomaly before it causes costly damage and unplanned downtime.

Solution

Siemens’ AI-based predictive maintenance solutions detect abnormal clamp operation and pinpoints areas for prompt maintenance, minimizing downtime and emergency repairs.

Boost automotive equipment performance

Increase Overall Equipment Effectiveness (OEE) across your body shop floor with Siemens predictive maintenance. With automated inspections and prompt maintenance for clamp faults, you can extend equipment lifecycles, lighten technician workloads and minimize production downtime.

A professional welder working in an automotive factory, wearing a welding mask and protective gear, welding a metal part.
A welding icon with a car and welding tools in the background.

Predict faults accurately

Detect abnormal clamp operation with Siemens AI-based systems, so you can address faults before they cause unplanned downtime.

An icon representing automotive welding automation with a welding torch and a robotic arm.

Automate maintenance efforts

Lighten maintenance loads with Siemens predictive maintenance solutions to inspect welding quality and schedule automatic maintenance.

A welding icon with a car and a factory in the background.

Maximize body shop efficiency

Boost your Overall Equipment Effectiveness (OEE) across production lines, detecting and fixing faults early to optimize equipment lifecycles.

Have any questions?

Let’s chat. Reach out and we will help you figure out the best place to start.