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Abnormality detection method and device and air conditioning system

An air-conditioning system and anomaly detection technology, which is applied in heating and ventilation control systems, heating and ventilation safety systems, heating methods, etc., can solve problems such as difficult to accurately determine the anomalies of air-conditioning systems, and achieve the effect of accurate anomaly judgment results

Pending Publication Date: 2021-11-02
GD MIDEA HEATING & VENTILATING EQUIP CO LTD +1
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] The embodiment of the present application provides an abnormality detection method, device and air-conditioning system, which can solve the problem that it is difficult to accurately determine whether there is an abnormality in the air-conditioning system by existing methods

Method used

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  • Abnormality detection method and device and air conditioning system
  • Abnormality detection method and device and air conditioning system
  • Abnormality detection method and device and air conditioning system

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Experimental program
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Embodiment 1

[0034] In the existing detection method, the detection data of the air-conditioning system is input into a preset fault detection model based on PCA, and whether the air-conditioning system is abnormal is determined according to the detection results output by the detection model. Since the PCA-based fault detection model is trained for fixed working conditions and / or fixed units, the PCA-based fault detection model is a static detection model, that is, the PCA-based fault detection model It is difficult to adapt to the anomaly detection of the air-conditioning system where the working condition changes, and it is also difficult to adapt to the anomaly detection of the air-conditioning system where the unit changes, that is, it is difficult to obtain accurate detection results through the fault detection model based on PCA. In addition, the inventors of the present application know through analysis that due to the increasing complexity of existing air-conditioning systems, even...

Embodiment 2

[0053] image 3 A flow chart of the second anomaly detection method provided by the embodiment of the present application is shown. In this embodiment, steps S33 to S36 are the same as steps S11 to S14 in the first embodiment above, and will not be repeated here. In addition, this embodiment adds the steps of how to generate a pre-built autoencoder based on the first embodiment, which is described in detail as follows:

[0054] Step S31, determining structural parameters according to the complexity of the air conditioning system.

[0055] In this embodiment, the complexity of the air conditioning system is related to the structure of the air conditioner itself and / or the function of the air conditioner. For example, compared with the single-connected air conditioner, the complexity of the air-conditioning system corresponding to the multi-connected air conditioner is higher. For example, compared with an air conditioner with a single function, the air conditioning system cor...

Embodiment 3

[0075] Figure 5A flow chart of the third anomaly detection method provided by the embodiment of the present application is shown. In this embodiment, step S51 is the same as step S11 in the first embodiment, and step S55 is the same as step S14 in the first embodiment, and details are not repeated here. In addition, this embodiment mainly adds the step of eliminating the influence of environmental factors on the target parameters on the basis of the first embodiment, which is described in detail as follows:

[0076] In step S51, target parameters are acquired, and the target parameters include operating parameters of the air conditioning system.

[0077] Step S52, eliminating the influence of environmental factors on the target parameters.

[0078] In this embodiment, considering that the same air-conditioning system operates in different regions, its operating conditions are different. Therefore, in order to improve the universality of the subsequent abnormal judgment resu...

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Abstract

The invention is suitable for the technical field of air conditioners, and provides an abnormality detection method and device and an air conditioning system. The abnormality detection method comprises the steps that target parameters are obtained, and the target parameters comprise operation parameters of the air conditioning system; the target parameters are input into a pre-constructed auto-encoder to obtain an output value of the pre-constructed auto-encoder; whether the air conditioning system is abnormal or not is determined according to the target parameters, the output value and a preset alarm threshold range; and if the updating condition is satisfied, the pre-constructed auto-encoder and an alarm threshold are updated according to the obtained target parameters. Through the above method, a more accurate abnormality judgment result can be obtained.

Description

technical field [0001] The present application belongs to the technical field of air conditioning, and in particular relates to an abnormality detection method and device, an air conditioning system and a computer-readable storage medium. Background technique [0002] During the operation of the air conditioner, it is usually necessary to detect various faults in the air conditioning system in order to deal with the faults in time, and the timely processing of the faults can effectively reduce the energy consumption of the unit and prolong the life of the unit. [0003] When an abnormality is detected in the air conditioning system, an alarm will be generated. At present, after obtaining the detection data of the air-conditioning system, the detection data is input into a preset fault detection model based on Principal Component Analysis (PCA), and a detection result output by the detection model is obtained. However, it is still difficult to obtain accurate detection resul...

Claims

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Application Information

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IPC IPC(8): F24F11/38F24F11/64F24F11/88
CPCF24F11/38F24F11/64F24F11/88
Inventor 吴斌范波
Owner GD MIDEA HEATING & VENTILATING EQUIP CO LTD