Information Collecting System for Job-Site Event Interpretation
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Solution Overview
Problem
There is a time lag and isolation between the job-site level and the management and business operation level due to the lack of immediate understanding of secondary and tertiary meanings in event information generated at a job site, as existing information collecting systems require repetitive interpretation and evaluation across different levels.
Innovation Solution
An information collecting system that connects data generating devices to a network, using a dictionary storing unit, database, and searching unit to add supporting information to job-site data, reconfiguring event information with primary and secondary reconfiguring units, enabling instantaneous understanding of event information across levels.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If event information is transmitted from job-site level to management level through hierarchical interpretation, then information can be understood at each level, but time lag and isolation occur between levels
Solution Approach 1:
The system performs preliminary interpretation and evaluation of event information at the job-site level before transmission. The interpretation unit automatically interprets event information and generates interpreted information, which is then transmitted to higher levels. This eliminates the need for repetitive interpretation at each hierarchical level and removes time lags.
Solution Approach 2:
The patent introduces an interpretation unit as an intermediary between event information generation and hierarchical transmission. This unit automatically interprets event information using stored interpretation rules and patterns, converting raw event data into meaningful interpreted information that can be immediately understood at all levels without sequential processing delays.
2Ease of operation
If event information is interpreted and evaluated at each hierarchical level, then each level can understand the information, but repetitive interpretation causes time lag
Solution Approach 1:
The interpretation unit creates a copy of the interpretation process that occurs once at the job-site level. The interpreted information is then replicated and transmitted to all higher levels simultaneously, eliminating the need for each level to perform its own interpretation and evaluation, thus maintaining ease of understanding while dramatically increasing recognition speed.
Solution Approach 2:
Interpretation and evaluation are performed in advance at the job-site level before information reaches higher levels. The interpretation unit prepares the information with all necessary meanings and contexts already established, so receiving levels can immediately understand and act on the information without additional processing time.
3Loss of information
If multiple persons interpret and evaluate event information independently, then individual understanding is achieved, but quick response is delayed due to duplication
Solution Approach 1:
The patent merges multiple independent interpretation functions into a single centralized interpretation unit. This unit consolidates all interpretation and evaluation activities, eliminating duplication across different persons and levels. The unified interpretation is then distributed to all stakeholders, ensuring consistent understanding and enabling immediate coordinated response.
4Device complexity
If event information is transmitted with only codes and simple observed values, then transmission is simple, but secondary and tertiary meanings are not understood
Solution Approach 1:
The interpretation unit performs preliminary extraction and attachment of secondary and tertiary meanings to event information before transmission. It automatically adds contextual information, implications, and derived meanings that would otherwise require manual interpretation at higher levels, thus preserving complete information while maintaining simple transmission protocols.
Data Source
AI summary
An information collecting system includes a dictionary defining the kinds of each supporting information to be added to job-site data and a database of the supporting information. The supporting information is background information including pieces of information indicating an analysis assist material affecting an analysis and an evaluation assist material affecting an evaluation of an analysis result. That is, the job-site data is included as a factor in a fishbone diagram having a shared knowledge of an organization or an organization knowledge as a characteristic, and the background information is other factors in the fishbone diagram including the job-site data as a factor. Each supporting information is searched from the database in accordance with a dictionary, and each searched supporting information is added to the job-site data in addition to attribute data to generate event information.


