Equipment installation support system
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Solution Overview
Problem
The installation of diverse equipment types in large buildings is time-consuming and burdensome due to mix-ups, complex settings, and high man-hours, with existing solutions focusing only on reducing installation errors rather than overall workload.
Innovation Solution
An equipment installation support system that includes recording tools with identification information and a server managing a database associating equipment with building-specific installation details, enabling automated connection and setting processes.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If equipment installation follows conventional manual processes, then installation accuracy can be maintained, but installation time and labor burden increase significantly
Solution Approach 1:
The system pre-registers equipment information including model, serial number, and installation location in a database before actual installation. Installation workers use mobile terminals to access pre-prepared installation guides and procedures, eliminating the need to search for information during installation and significantly reducing installation time.
Solution Approach 2:
The system enables automatic equipment identification through image recognition of QR codes or barcodes on equipment. The mobile terminal automatically retrieves equipment information from the database and displays relevant installation parameters, allowing the system to serve itself rather than requiring manual information lookup.
2Adaptability or versatility
If equipment diversity increases to meet various building needs, then system versatility improves, but installation complexity and error rate increase
Solution Approach 1:
The system segments equipment information by type, model, and installation location in the database. Each equipment type has its own standardized data structure and installation procedure template. This segmentation allows the system to handle diverse equipment types systematically through the mobile terminal, presenting only relevant information for each specific equipment being installed.
Solution Approach 2:
The system uses parameter-based equipment identification where each equipment type is defined by specific parameters (model number, serial number, installation location). The mobile terminal dynamically adjusts displayed installation parameters based on the identified equipment, automatically adapting to different equipment types without increasing operational complexity for workers.
3Measurement precision
If manual equipment identification and matching is performed, then equipment-building association accuracy is maintained, but labor burden and installation time increase
Solution Approach 1:
The system replaces manual equipment identification and matching processes with automated image recognition technology. The mobile terminal captures images of QR codes or barcodes on equipment and automatically extracts identification information, eliminating manual data entry and reducing the labor burden while maintaining high matching accuracy through automated database queries.
Solution Approach 2:
The mobile terminal acts as an intermediary between the equipment and the central database. It automatically transmits equipment identification information to the database, retrieves matching installation information, and presents it to the worker. This intermediary process automates the matching task while maintaining accuracy through systematic data retrieval rather than manual comparison.
4Loss of information
If comprehensive installation information is stored for all equipment, then installation guidance completeness improves, but database management complexity increases
Solution Approach 1:
The database segments installation information into standardized modules based on equipment type, model, and installation location. Each equipment category has its own information template with required fields. This segmentation allows comprehensive information storage while simplifying database management through structured data organization and automated template-based information retrieval via mobile terminals.
Data Source
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AI summary
Indoor units (20b), Wi-Fi access points (70A, 70B), and Wi-Fi units (80A, 80B) connected to the indoor units are intended to be installed in a building (112). Each of the Wi-Fi units is configured to, when one of the Wi-Fi access points which have been found has an RSSI lower than a predetermined value, search for one of the Wi-Fi access points having an RSSI higher than the predetermined value, with also the Wi-Fi access point with the reduced RSSI remaining as a candidate connection destination, and, if the Wi-Fi access point having an RSSI higher than the predetermined value is not found within a predetermined time, establish a connection with one of the found Wi-Fi access points having the highest RSSI.