Remote Cleaning Quality Assessment Using Fixed Network Signals
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing methods for assessing cleaning quality in indoor locations are inaccurate, unreliable, and costly, as they rely on GPS signals that weaken indoors and require hardware installations, failing to measure actual cleaning quality without physical inspections.
Innovation Solution
A remote cleaning quality management system using a computer-implemented method that assesses cleaning quality by accessing a training dataset of plot points and signal strengths from spatially fixed network devices, calculating cumulative duration based on predefined thresholds, and providing indications of cleaning quality based on signal strengths and duration.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If GPS or clock time tracking is used to monitor cleaning staff, then staff availability can be tracked, but cleaning quality cannot be accurately measured
Solution Approach 1:
The patent replaces mechanical/time-based tracking (GPS, clocks) with wireless signal-based detection (Wi-Fi, Bluetooth, NFC signals) to determine cleaning quality. The system uses signal strength measurements from fixed network devices to infer cleaning staff presence and duration at specific locations, providing both accuracy and reliability for quality measurement.
Solution Approach 2:
The patent introduces wireless network devices (Wi-Fi access points, Bluetooth beacons, NFC readers) as intermediaries between the cleaning staff and the monitoring system. These intermediaries automatically detect signal strengths and transmit data without requiring direct observation or manual reporting, enabling accurate and reliable quality measurement.
2Measurement precision
If physical inspections are conducted to assess cleaning quality, then cleaning standard can be evaluated, but the process is time-consuming and costly
Solution Approach 1:
The system enables self-service quality monitoring where cleaning staff automatically generate their own performance data through their mobile devices. The system autonomously processes signal strength measurements, determines cleaning duration and quality, and provides feedback without requiring inspector intervention, thereby eliminating time loss.
Solution Approach 2:
The patent replaces manual physical inspections with automated wireless signal-based detection. The system uses pre-configured network devices to automatically measure signal strengths, calculate cleaning duration, and assess quality metrics, eliminating the need for time-consuming manual inspections.
3Reliability
If hardware such as cameras and radiofrequency beacons is installed to monitor cleaning staff, then presence can be detected, but system cost increases
Solution Approach 1:
The patent makes existing network devices (Wi-Fi access points, Bluetooth devices, NFC readers) serve dual purposes: both their original functions and cleaning quality monitoring. This multi-functionality approach eliminates the need for dedicated hardware, reducing system complexity and cost while maintaining reliable presence detection.
Solution Approach 2:
The system uses wireless signal copies (Wi-Fi, Bluetooth, NFC signals) instead of physical hardware installations to detect cleaning staff presence. These signal-based detection methods provide reliable presence information without requiring additional cameras or active beacons, thereby reducing device complexity.
4Manufacturing precision
If cleaning staff are trained through videos and demonstrations, then cleaning performance can be improved, but training time and resources are required
Solution Approach 1:
The system implements automated feedback mechanisms that provide real-time performance data to cleaning staff. By monitoring signal strength and cleaning duration, the system automatically generates feedback reports that guide staff improvement without requiring formal training sessions, thereby reducing training time while maintaining high cleaning performance quality.
Solution Approach 2:
The system enables cleaning staff to self-monitor and self-improve their performance through automated data collection and feedback. Staff can review their own cleaning duration and quality metrics without external intervention, eliminating the need for time-consuming formal training programs while maintaining high cleaning standards.
Data Source
AI summary
Embodiments of the present disclosure disclose a method for remotely managing a cleaning quality for an indoor location being cleaned. The method includes accessing a training dataset including a plurality of plot points and associated signal strengths of a predefined signal received from a fixed network device, where at least one plot point is preselected based on a predefined cleaning attribute associated with a physical spot corresponding to the at least one plot point; receiving the predefined signal at a position in the indoor location from the fixed network device, where the received signal has a second signal strength and the position is determined proximate to the plot point based on the second signal strength and each of the signal strengths; and calculating a cumulative duration spent at the determined position based on a predefined cleaning schedule to assess the cleaning quality for the physical spot.