Compressor Status Monitoring With Self-Diagnosis and Remote Alerts
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Solution Overview
Problem
In intelligent home systems, existing technologies lack effective monitoring and analysis of compressor status, which can lead to undetected abnormalities affecting the lifespan and performance of devices like air conditioners, potentially resulting in reduced quality and reliability.
Innovation Solution
A method and apparatus for monitoring a terminal compressor status by obtaining working status parameters, judging if they fall within preset ranges, determining abnormalities, and transmitting analysis information to a controlling terminal, utilizing sensors and communication networks for real-time data processing and alerting.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If compressor status monitoring is implemented, then reliability is improved, but device complexity increases
Solution Approach 1:
The compressor system performs self-diagnosis by automatically collecting its own working status parameters (current, voltage, temperature, pressure) and comparing them against preset ranges to detect abnormalities without requiring external monitoring equipment
Solution Approach 2:
The system continuously monitors compressor parameters and provides feedback by comparing real-time data with preset ranges, automatically identifying abnormalities and transmitting alerts to the controlling terminal when deviations are detected
2Measurement precision
If real-time parameter collection is performed, then measurement precision is improved, but use of energy increases
Solution Approach 1:
The system continuously collects and monitors compressor working parameters without interruption, maintaining constant surveillance of current, voltage, temperature, and pressure to ensure precise real-time detection of any abnormal conditions
Data Source
AI summary
The present disclosure provides a method and an apparatus for monitoring a status of a terminal compressor. The method includes: obtaining a working status parameter of a compressor in a first terminal; judging whether the working status parameter falls in a preset range; if the working status parameter does not fall in the preset range, determining that an abnormality of the compressor occurs; and analyzing a reason for the abnormality and transmitting preset information to a second terminal that controls the first terminal.