AutoNextG Vehicle Data Engine v1
The structured data layer behind the AutoNextG vehicle selector and diagnostic workspace. It is designed to connect an exact North American vehicle configuration to systems, components, circuits and verified diagnostic information.
1. Vehicle Master Record
| Field | Purpose |
|---|---|
| Vehicle ID | Unique internal record identifier |
| Year | Model year |
| Make | Manufacturer |
| Model | Vehicle model |
| Trim / Configuration | Configuration-specific identification |
| Engine | Engine family/displacement and configuration |
| Transmission | Transmission configuration |
| Drivetrain | 2WD/4WD/AWD and related configuration |
| Market | Canada / United States |
| Hybrid / EV | Electrification configuration where applicable |
| VIN Notes | Known configuration differences requiring VIN confirmation |
2. System Catalog
- Engine & Fuel Injection
- Starting & Charging
- Lighting
- HVAC
- Body & Accessories
- ABS & Traction Control
- Airbag / SRS
- Transmission
- CAN / LIN Networks
- Other Electrical Systems
3. Technical Relationship Model
Vehicle → Powertrain → System → Component → Connector → Pin → Circuit → Diagnostic Test
| Record | Connected To | Purpose |
|---|---|---|
| Vehicle | Powertrain / Systems | Defines exact configuration |
| System | Components | Groups related functions |
| Component | Connectors | Identifies the component interface |
| Connector | Pins | Identifies electrical terminals |
| Pin | Circuits | Identifies the electrical function |
| Circuit | Tests | Connects the circuit to diagnostic procedures |
4. Diagnostic Relationship Model
Complaint / DTC → System → Component / Circuit → Test → Result → Next Test
- Confirm the vehicle configuration.
- Record the symptom or diagnostic trouble code.
- Identify the relevant system.
- Identify the relevant component or circuit.
- Perform the verified diagnostic test.
- Record the measured result.
- Branch to the next appropriate test.
- Record the final diagnosis and repair.
5. Data Verification Layer
| Status | Meaning |
|---|---|
| Verified | Checked against an approved technical source |
| Pending Verification | Record exists but requires technical-source confirmation |
| Configuration Dependent | Information may vary by VIN, trim, engine, market or other configuration |
| Restricted / Not Publishable | Source or usage rights do not permit redistribution |
AutoNextG will not present an AI-generated value as verified vehicle-specific technical data. Technical information must come from legitimate licensed, authorized, public-domain, user-provided or otherwise permissible sources before publication as authoritative data.
6. Example Prototype Record
| Vehicle | 2018 Ford F-150 |
|---|---|
| Engine | 5.0L example configuration |
| Market | Canada / United States |
| System | Engine & Fuel Injection |
| Component | Fuel Injector |
| Circuit | Injector power / control circuit |
| Verification | Prototype — technical values require approved-source verification |
7. API-Ready Query Flow
A future application can query the engine using a structured request such as:
Vehicle configuration → System → Component → Connector → Pin/Circuit → Diagnostic Test
- Return only records matching the selected vehicle configuration.
- Filter technical records by verification status.
- Link compatible circuit and diagnostic records.
- Pass verified information to the AI Diagnostic Assistant.
- Store the user’s test results separately from source technical data.
8. Automation Architecture
- Vehicle selector feeds the data engine.
- Data engine identifies matching systems and records.
- Circuit relationships feed the Circuit Tracer.
- Verified diagnostic relationships feed the AI Diagnostic Assistant.
- Diagnostic results can be saved to My Garage.
- Membership controls determine which features a user can access.
Next Development Layer
- Real searchable vehicle records
- Legitimate technical-data source integration
- Interactive selector controls
- System and circuit navigation
- Connector/pin records
- Diagnostic decision-tree records
- API/database implementation