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ZD AI AGENT · Vehicle R&D and Testing Agents

Problem Diagnosis Agent
Root causes in minutes

Problem Diagnosis Agent

The agent parses vehicle logs and test data of all kinds, identifies abnormal signals, matches historical fault cases and pinpoints root causes, shifting teams from reactive troubleshooting to proactive warning.

3h→30min
Problem analysis time
90%
Detection rate, common signal bugs
90%
Detection rate, suspicious signals
Multi-protocol
CAN/ETH/LIN/DTC
3h→30minROOT · CAUSE · ANALYSIS
LLM Industry knowledge base RAG retrieval Automated execution
WORKFLOW

Workflow

1
Log input
2
Intelligent parsing
3
Root cause analysis
4
Historical matching
5
Report output
3h→30min
Problem analysis time
90%
Detection rate for common signal bugs
All formats
BLF / ASCL / MAT supported
Knowledge capture
Company-specific diagnostic knowledge base
ADVANTAGES

Advantages

01Rapid diagnosis

Problem analysis drops from 3 hours to 30 minutes, locating root causes in minutes.

02Full data coverage

Handles CAN/CAN FD, Ethernet and LIN data as well as DTC fault code decoding.

03Reuse of experience

Links historical faulty versions with their solutions and builds a company-specific diagnostic knowledge base.

04Hardware and software together

Together with ZD Datalogger logging hardware, signal bug localisation falls from hours to minutes.

SERVICES

Services

TECH STACK

Technology Foundation

01LLM engine

A large language model serves as the reasoning core, tuned on automotive R&D and testing corpora to support requirement parsing, root cause reasoning and code generation.

02Industry knowledge base + RAG

Brings together ZD simulation knowledge, historical fault cases and diagnostic experience with retrieval-augmented generation, so output matches real engineering contexts.

03On-premises deployment

Supports local and private-cloud deployment so R&D data never leaves the company, meeting OEM data security and compliance requirements.

04Closed-loop automated execution

Agent output connects directly to test execution, simulation scheduling and ticketing systems, so results flow automatically and are tracked to closure.

CASES

Deployments

01Leading NEV manufacturer · AI fault diagnosis system

Covers 87% of common cockpit faults. Handling time drops from 4-8 hours to under 30 minutes, engineer productivity rises about 4x and knowledge reuse increases by 60%.

02ZD Datalogger intelligent analysis · Signal bug localisation

BLF, ASCL and MAT logging files feed the AI engine automatically for timing anomaly detection and value-range compliance checks: 90% detection for common signal bugs and 90% for suspicious signals, with localisation down from hours to minutes.

Problem Diagnosis Agent

ZD Technology · AI agents for vehicle R&D and testing