Multi-split air-conditioning system, fault positioning method, and fault diagnosis model training method
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Solution Overview
Problem
Multi-split air-conditioning systems face challenges in quickly locating faulty components, resulting in low fault positioning efficiency.
Innovation Solution
The system includes an outdoor unit, multiple indoor units, electronic expansion valves, and a controller. The controller obtains feature data, such as temperature differences between liquid and air pipes, to identify abnormal indoor units and determine faulty electronic expansion valves.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If manual fault positioning methods are used in multi-split air-conditioning systems, then maintenance personnel can identify faulty components, but the fault positioning efficiency is low and time-consuming
Solution Approach 1:
The patent replaces manual mechanical inspection with an automated electronic diagnostic system. The controller automatically collects operating data from multiple indoor units, calculates feature values (such as temperature differences between liquid and air pipes), and identifies faulty electronic expansion valves through algorithmic analysis, eliminating the need for manual fault positioning
Solution Approach 2:
The system performs self-diagnosis by automatically monitoring its own operating parameters. The controller continuously collects data from temperature sensors and other components, computes feature values, and autonomously determines which electronic expansion valve is faulty without requiring external maintenance personnel intervention
2Adaptability or versatility
If the number of components in multi-split air-conditioning systems increases to serve multiple indoor spaces, then temperature control versatility is improved, but fault detection difficulty increases
Solution Approach 1:
The patent segments the fault detection process by calculating individual feature values for each indoor unit based on its specific operating data. The controller separately analyzes temperature differences, operating currents, and other parameters for each indoor unit, allowing precise identification of which specific electronic expansion valve is faulty among multiple components
Solution Approach 2:
The patent introduces feature values as intermediary parameters that mediate between raw operating data and fault diagnosis. By calculating feature values (such as temperature differences between liquid and air pipes, normalized operating currents) for each indoor unit, the system creates intermediate metrics that simplify the complex task of detecting faults in multiple components
Data Source
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AI summary
Some embodiments of the present disclosure provide a multi-split air-conditioning system, a fault positioning method, and a fault diagnosis model training method. The multi-split air-conditioning system comprises an outdoor unit, a plurality of indoor units, a plurality of electronic expansion valves, and a controller. An air pipe and a liquid pipe are correspondingly connected to each of the plurality of indoor units. The plurality of electronic expansion valves are respectively provided in the liquid pipes connected to the corresponding indoor units. The controller is configured to: obtain feature data of each of the plurality of indoor units in the event of an electronic expansion valve fault in the multi-split air-conditioning system, the feature data of each indoor unit comprising a temperature difference value between a temperature value of the liquid pipe correspondingly connected to the indoor unit and a temperature value of the air pipe correspondingly connected to the indoor unit; determining an abnormal indoor unit among the plurality of indoor units according to the feature data of each of the plurality of indoor units; and determining the electronic expansion valve corresponding to the abnormal indoor unit as a faulty electronic expansion valve.