Vehicle Device Calibration Using Server-Guided Mechanical Arm Paths
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Solution Overview
Problem
Current calibration processes for devices in vehicles require manual intervention, leading to low calibration efficiency and labor-intensive procedures.
Innovation Solution
A method and apparatus that utilize a mechanical arm controlled by a calibration apparatus, which sends identification information to a server to receive motion track information for automating the calibration process of to-be-calibrated devices in vehicles.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If manual intervention is used in the calibration process, then the calibration can be performed with simple equipment, but the calibration efficiency is low and labor costs are high
Solution Approach 1:
The calibration system performs self-calibration by automatically generating motion tracks, controlling the mechanical arm to execute calibration actions, and adjusting parameters without manual intervention. The system serves itself by integrating all calibration functions into an automated workflow, eliminating the need for manual operation while maintaining calibration accuracy.
Solution Approach 2:
The patent replaces manual mechanical operations with an automated control system that uses servers to generate motion tracks and control a mechanical arm. The mechanical arm executes precise movements based on generated trajectories, substituting human manual positioning and calibration actions with automated mechanical control.
2Productivity
If automated calibration with mechanical arm is implemented, then calibration efficiency is improved, but the device complexity increases due to server and control systems
Solution Approach 1:
The patent introduces a server as an intermediary between the control apparatus and the mechanical arm. The server generates motion track information and transmits it to the control apparatus, which then controls the mechanical arm. This intermediary layer centralizes the calibration logic and simplifies the overall system architecture by separating planning from execution.
Solution Approach 2:
The calibration system is segmented into distinct functional modules: a server for generating motion tracks and processing data, a control apparatus for transmitting commands and receiving feedback, and a mechanical arm for executing calibration actions. This segmentation allows each component to be optimized independently while working together as an integrated system.
3Loss of time
If multiple manual placements and attempts are used to obtain mechanical arm motion track, then the system remains simple, but time consumption and trial-and-error costs increase
Solution Approach 1:
The server pre-generates motion track information for the mechanical arm based on calibration requirements and device parameters. This preliminary generation of motion tracks eliminates the need for multiple manual placements and attempts during actual calibration, as the optimal path is calculated in advance and transmitted to the control apparatus for execution.
Data Source
AI summary
Embodiments of this application provide a calibration method and apparatus. The method includes: sending identification information of a vehicle to a first server; receiving first motion track information sent by the first server based on the identification information, where the first motion track information includes motion track information of a mechanical arm for calibration of a first to-be-calibrated device in the vehicle; and controlling, based on the first motion track information, the mechanical arm to calibrate the first to-be-calibrated device. The technical solutions in embodiments of this application may be applied to calibration of an intelligent vehicle or an electric vehicle. This helps improve intelligence of calibrating a to-be-calibrated device in a vehicle, thereby helping improve calibration efficiency.


