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Method for predicting abnormities of central air conditioner

A central air-conditioning and abnormality technology, which is applied in the field of abnormality detection of air-conditioning equipment, can solve problems such as wasting energy, affecting user comfort, and unsatisfactory cooling and heating effects, so as to avoid resource waste, reduce manual inspection costs, and high-efficiency equipment The effect of abnormal troubleshooting

Inactive Publication Date: 2014-05-21
施晓亚 +2
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0002] Central air conditioners have been widely used in various large buildings. However, after several years of operation, due to lack of maintenance, many central air conditioners will produce equipment abnormalities, resulting in unsatisfactory cooling and heating effects, affecting user comfort, and wasting energy.
At present, the maintenance and testing of central air conditioners mainly rely on the traditional method: regular inspection and maintenance by air conditioner maintenance personnel, but due to the complexity of the installation and structure of central air conditioners, and the large number of air conditioner terminal fans, this method requires regular Check all air-conditioning equipment, including normal operation and abnormal operation, the detection efficiency is low and the cost is high
Another way is to report to the maintenance personnel for inspection when the user feels that there is a problem with the air conditioner (for example, it can no longer cool). At this time, the abnormal situation is often serious, which has caused energy waste

Method used

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  • Method for predicting abnormities of central air conditioner
  • Method for predicting abnormities of central air conditioner
  • Method for predicting abnormities of central air conditioner

Examples

Experimental program
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Embodiment 1

[0031] This embodiment provides a method for predicting the abnormality of the central air conditioner. By analyzing the temperature data of each room in the organizational structure of the central air conditioner, the abnormality of the room is judged, and the abnormality factor of the central air conditioner is calculated to predict the abnormality of the equipment. . The implementation of this method is based on the networked fan coil thermostat of the air conditioner terminal (generally refers to the room) and the temperature sensor that can accurately sense the room temperature. The process of the method is as follows figure 1 shown, including the following steps:

[0032] S1. Obtain temperature data in each room and working status data of each fan coil unit. The room temperature data is a sequence of temperature and time (t, T), T represents the temperature of the room at time t, and the working status data of each fan coil unit is a sequence of working status and time ...

Embodiment 2

[0043] This embodiment is a simplified solution of Embodiment 1, and the only difference from Embodiment 1 is that this embodiment uses the method of actively reporting an error by the user to report the abnormality of the room to the server. Instead of automatically judging changes in parameters such as temperature as in Example 1. The implementation cost of this embodiment is lower, and it can effectively reduce the scope of maintenance and inspection by maintenance personnel, but it is impossible to judge in advance those devices whose maintenance performance is degraded but not easy to be detected through data.

[0044] To sum up, the method for predicting the abnormality of the central air conditioner provided by the present invention has at least the following advantages: by detecting whether the cooling or heating of the room is abnormal, based on the system architecture, calculating the abnormality factor of the equipment, and marking the abnormal node, the air conditio...

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Abstract

The invention discloses a method for predicting abnormities of a central air conditioner. The method comprises the following steps: S1,monitoring whether refrigeration or heating of each room is abnormal or not, marking with a room abnormal factor; if yes, marking the room abnormal factor as 1, and if not, marking the room abnormal factor as 0, S2, calculating equipment abnormal factors F of all equipment in a cooling capacity or heat transfer pipeline of the central air conditioner, wherein F is equal to r / R, r represents the abnormal room number controlled by the equipment, and R represents the total room number controlled by the equipment, and S3, marking the equipment of which F is not smaller than n and not more than 1 as abnormal nodes to carry out manual detection and screening, wherein n is a predetermined value and n is more than o and not more than 1. A maintenance staff only needs to carry out detection when abnormal nodes in the equipment are found through the method, the detection number is less, and furthermore, the problem of energy waste caused by that the abnormalities are not found in time is solved.

Description

technical field [0001] The invention relates to abnormal detection of air-conditioning equipment, in particular to a method for predicting abnormality of central air-conditioning. Background technique [0002] Central air conditioners have been widely used in various large buildings. However, after several years of operation, due to lack of maintenance, many central air conditioners will produce equipment abnormalities, resulting in unsatisfactory cooling and heating effects, affecting user comfort, and wasting energy. . At present, the maintenance and testing of central air conditioners mainly rely on the traditional method: regular inspection and maintenance by air conditioner maintenance personnel, but due to the complexity of the installation and structure of central air conditioners, and the large number of air conditioner terminal fans, this method requires regular To check all air-conditioning equipment, including normal operation and abnormal operation, the detectio...

Claims

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Application Information

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IPC IPC(8): F24F11/00
Inventor 施晓亚李捷超张林
Owner 施晓亚
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