Surveying Instrument Communication System for Undetected Error Troubleshooting
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Solution Overview
Problem
Conventional surveying instruments face inefficiencies when no error is detected, leading to user discomfort and prolonged inquiry processes, as users must undertake extensive checks despite no issues being found, resulting in time-consuming exchanges.
Innovation Solution
A communication processing system for surveying instruments that includes a survey unit, communication unit, control unit, storage unit, display unit, and error detection unit, along with a management server capable of communicating with the instrument, which uses question data and error search tables to guide users through hierarchical question lists and identify undetected errors, facilitating quicker troubleshooting.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If a self-check function is implemented to detect errors automatically, then error detection capability is improved, but user discomfort persists when no error is detected and troubleshooting time increases
Solution Approach 1:
The system performs preliminary actions by proactively generating and transmitting inquiry guidance information before the user needs to troubleshoot. When no error is detected, the system automatically creates a hierarchical question list based on the instrument's operational state and sends it to the user's terminal in advance, so that when troubleshooting is needed, the user already has structured guidance ready, reducing the time required for inquiry and resolution.
Solution Approach 2:
The system implements feedback by continuously monitoring the instrument's operational state and using this information to dynamically generate appropriate inquiry guidance. The hierarchical question list is created based on feedback from the instrument's current state (error logs, operational parameters, etc.), and this customized guidance is provided to the user, making the troubleshooting process more efficient and targeted rather than generic.
2Measurement precision
If comprehensive error checking is performed, then measurement accuracy is improved, but the time required for inquiry verification increases
Solution Approach 1:
The inquiry verification process is segmented into a hierarchical structure with multiple levels of questions. Instead of presenting all possible verification steps at once, the system divides the inquiry into primary questions, secondary questions, and tertiary questions based on the detected error type and instrument state. This segmentation allows users to answer only the relevant questions for their specific situation, reducing the overall time required for verification while maintaining comprehensive error checking capability.
Solution Approach 2:
The system applies local quality by customizing the inquiry guidance based on the specific error conditions and instrument state. Rather than using a generic comprehensive checklist for all situations, the hierarchical question list is tailored to the local context of the particular error or operational state detected. This means different parts of the inquiry process have different levels of detail and focus, optimizing the verification time for each specific scenario while maintaining measurement precision.
3Measurement precision
If detailed inquiry information is collected from users, then troubleshooting accuracy is improved, but the complexity of the inquiry process increases
Solution Approach 1:
The complex inquiry process is segmented into a hierarchical structure with clear levels of questions. Primary questions address the most common or critical issues first, secondary questions provide additional detail if needed, and tertiary questions handle specific edge cases. This segmentation reduces the perceived complexity for users by presenting information in manageable chunks rather than overwhelming them with all questions at once, while still collecting the detailed information needed for accurate troubleshooting.
Solution Approach 2:
The system performs preliminary analysis of the instrument's error state and operational parameters before generating the inquiry questions. By pre-processing the error information and identifying the most likely causes, the system can prioritize and structure the questions in a logical sequence that guides users through the most relevant information first. This preliminary action reduces inquiry complexity by ensuring users are asked about the most important details in the correct order, rather than presenting an unstructured list of all possible questions.
Data Source
AI summary
To provide a communication processing system, a troubleshooting method, and a management server for a surveying instrument, for a case where a prescribed error is not detected. A system includes a surveying instrument including a survey unit, a communication unit, a control unit, a storage unit, a display unit, and an error detection unit, a management server including a server communication unit, a server control unit, and a server storage unit, and an external terminal, and the server storage unit includes a question data table that functions when the error detection unit does not detect a prescribed error, the server control unit includes a question management unit that reads out the question data table and transmits it to the surveying instrument, and the surveying instrument includes a question display unit that makes the display unit hierarchically display a question list.