Demolition Robot Operating Condition Alerts From Sensor Deviations
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Solution Overview
Problem
Current control systems for demolition robots do not provide timely warnings or error diagnostics, making it difficult for users to predict and prevent machinery damage, as they lack the ability to monitor and alert users about potential operational risks during remote operation.
Innovation Solution
A method and user interface system that utilizes sensors to measure and communicate the operating condition of demolition robots, including vibration cycles and pressure loads, to alert users of potential risks through a graphical user interface, enabling early detection and prevention of machinery damage.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If traditional control systems are used for demolition robots, then the system structure remains simple, but the ability to predict and alert users about potential errors is insufficient
Solution Approach 1:
The system performs preliminary actions by continuously monitoring operating parameters and comparing them against predefined thresholds before actual errors occur. The control unit proactively identifies trends and patterns that indicate potential failures, allowing the system to alert users in advance of actual errors, thus improving reliability without requiring complex predictive algorithms.
Solution Approach 2:
The system implements feedback mechanisms by continuously collecting data from sensors, comparing current operating conditions with historical data and thresholds, and providing real-time alerts to users. This closed-loop feedback system enables the relatively simple control structure to deliver advanced error prediction capabilities through continuous monitoring and comparison.
2Measurement precision
If comprehensive sensor monitoring is implemented, then error detection capability is improved, but the device complexity increases
Solution Approach 1:
The system extracts and monitors only the most critical operating parameters relevant to error prediction, such as key sensor readings and operating conditions. By focusing on essential measurements rather than comprehensively monitoring all possible parameters, the system achieves high measurement precision for critical functions while avoiding the complexity of an overly comprehensive sensor network.
3Loss of information
If real-time error diagnostics are provided, then user awareness of operational risks is improved, but information processing requirements increase
Solution Approach 1:
The system applies partial action by providing targeted error diagnostics focused on the most probable and critical error types rather than attempting to diagnose all possible failures simultaneously. The control unit processes and presents information about operational risks selectively, based on current operating conditions and predefined error thresholds, reducing processing requirements while maintaining effective user awareness.
Data Source
AI summary
The invention relates to a solution for presenting information describing a running operating condition of a demolition robot (3:1), provided with a microprocessor (24), a memory (26), wherein current data are obtained by sensors (21) as well as recorded and compiled into a data file (db1:1-db1:n) for each recording instance. According to the invention, a data file with specific reference data (27) is recorded in the demolition robot's memory, current sensor data (21) that deviate from recorded specific reference data and thereby can affect the running operating condition of the demolition robot are identified in a first controller (30), identification of deviating sensor data (A) in the first controller (30) takes place during a determined time period (T), information about identified deviating sensor data (A) is stored in the memory (26), a key indicator (41, 42) that describes a current operational parameter for the demolition robot during the determined time period, during which deviating sensor data (A) are identified, is ascertained in a second controller (32), and the key indicator (41, 42) as well as information about identified deviating sensor data (A, 43) to the determined time period (T) are presented in a user interface (28).