Intelligent Riding Floor Cleaner Monitoring for Predictive Maintenance
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Solution Overview
Problem
Existing riding floor cleaning machines lack intelligent systems capable of selectively gathering, monitoring, storing, and analyzing data, as well as communicating this data with other systems and users, and are not compatible with secondary electrochemical cell sub-assemblies.
Innovation Solution
Integration of an intelligent system within riding floor cleaning machines that includes sub-assemblies such as a main frame, steering and drive wheel, solution tank, recovery tank, control panel, and battery sub-assemblies, enabling data gathering, monitoring, storage, analysis, and communication with other systems and users, along with the use of secondary electrochemical cells like lithium-ion batteries.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If traditional floor cleaning machines are used without intelligent systems, then device complexity is low, but data management capability and operational efficiency are insufficient
Solution Approach 1:
The intelligent system is divided into separate functional modules including data gathering subsystem, monitoring subsystem, storage subsystem, analysis subsystem, and communication subsystem. Each module performs a specific function, allowing the complex intelligent system to be managed through modular components that can be independently developed, tested, and maintained.
Solution Approach 2:
The intelligent system is designed to perform multiple functions across different operational aspects of the floor cleaning machine. It simultaneously gathers operational data, monitors component status, stores information in memory, analyzes performance metrics, and communicates with external systems, thereby providing comprehensive management capability through a single integrated intelligent platform.
2Productivity
If intelligent systems are integrated into floor cleaning machines, then operational efficiency and maintenance planning improve, but device complexity increases
Solution Approach 1:
The intelligent system enables the floor cleaning machine to autonomously monitor its own operational status, detect potential issues, and communicate maintenance requirements without external intervention. The system self-gathers data from sensors, self-analyzes performance metrics, and self-communicates alerts to users or maintenance personnel, thereby improving operational efficiency through autonomous functionality.
Solution Approach 2:
The intelligent system continuously gathers operational data from various sensors and components, analyzes this information in real-time, and provides feedback through alerts and notifications to operators and maintenance personnel. This feedback mechanism enables proactive maintenance planning and optimizes operational efficiency by allowing timely responses to detected issues.
3Ease of operation
If data gathering and monitoring systems are added, then maintenance planning and user interaction improve, but device complexity and manufacturing cost increase
Solution Approach 1:
The intelligent system acts as an intermediary between the floor cleaning machine's internal components and the external user interface. It gathers data from sensors and components, processes this information, and presents it to users through displays or communication interfaces in a user-friendly format, thereby simplifying user interaction while managing the complexity of data collection and processing internally.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
Enables efficient data management and communication, enhancing operational efficiency, maintenance planning, and user interaction by providing real-time data analysis and alerts for component maintenance, improving overall machine performance and user experience.
Implementation Method 1
secondary electrochemical cell sub-assemblies
Data Source
AI summary
A riding floor cleaning machine having an intelligent system including a main frame sub-assembly, a steering and drive wheel sub-assembly, a solution tank sub-assembly, a recovery tank sub-assembly, a recovery tank cover sub-assembly, a control panel sub-assembly, a main controller sub-assembly, a seat and detergent system sub-assembly, a battery sub-assembly, a scrub head sub-assembly, a scrub head lift sub-assembly, a squeegee sub-assembly, a solution and detergent sub-assembly, and an intelligent system associated with at least one of the above-identified sub-assemblies, wherein the intelligent system selectively gathers, obtains, monitors, stores, records, and/or analyzes data associated with components of the riding floor cleaning machine, and controllably communicates and/or disseminates such data with another system and/or user.