Excavator Working Condition Determination via Intermediate Sensor Parameters
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Solution Overview
Problem
Current methods for determining the working condition of excavators face challenges due to the difficulty in acquiring flow rate data and the limited universality of expert database models, which affects working efficiency.
Innovation Solution
A method and apparatus that acquire real-time state parameter data from excavators, input it into a trained working condition determination model to output the working condition type, utilizing data that is easy to obtain and ensuring high universality, involving data acquisition through a CAN bus and model training with labeled samples, with secondary training and data aggregation on a cloud platform.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If flow rate data is used to determine working condition, then determination accuracy can be achieved, but data acquisition becomes difficult
Solution Approach 1:
The patent introduces intermediate parameters (engine speed, pilot pressure, electric current, pump pressure) that serve as mediators between the difficult-to-acquire flow rate data and the working condition determination. These intermediate parameters are easier to measure and can indirectly reflect the flow rate state, thus resolving the contradiction between determination accuracy and data acquisition difficulty
Solution Approach 2:
The patent replaces the direct mechanical measurement of flow rate with electrical and sensor-based measurements of other parameters. By using sensors to detect engine speed, pilot pressure, electric current, and pump pressure, the system substitutes complex flow rate measurement with simpler electrical and pressure measurements, achieving the same determination goal with easier data acquisition
2Measurement precision
If expert database model is used for determination, then specific working conditions can be identified, but model universality is limited
Solution Approach 1:
The patent creates a determination model that works across multiple excavator types and working conditions by using standardized intermediate parameters (engine speed, pilot pressure, electric current, pump pressure) that are common to various excavator models. This universal parameter set allows the model to be applied broadly rather than being limited to specific expert cases
Solution Approach 2:
The patent transforms the determination approach by changing from fixed expert database entries to dynamic parameter-based analysis. By continuously monitoring and analyzing variations in engine speed, pilot pressure, electric current, and pump pressure, the model can adapt to different working conditions and excavator types, achieving both accuracy and universality
Data Source
AI summary
A method for determining a working condition of an excavator comprises: acquiring a real-time state parameter data of the excavator; inputting the real-time state parameter data into an excavator working condition determination model to obtain the working condition type of the excavator output by the excavator working condition determination model. The excavator working condition determination model is obtained by performing training based on state parameter data samples carrying working condition type labels. In the method, the required data is easy to acquire, and a large amount of data is used when training the excavator working condition determination model, so that the excavator working condition determination model has strong universality and makes it easy to determine the working condition of an excavator. An apparatus for determining a working condition of an excavator is also disclosed.