A method for monitoring the operating status of a compression condensing unit

Abstract

The present invention relates to the field of data processing technology, and specifically to a method for monitoring the operating status of a compression condensing unit, including: collecting sound frequency data and sound loudness data of the compression condensing unit; screening abnormal noise moments; obtaining the operating abnormality moments according to the periodic performance of the abnormal noise moments; obtaining abnormal weights; obtaining loudness abnormality evaluations according to the sound loudness data; obtaining the operating abnormality index of the compression condensing unit; and realizing operating status monitoring according to the operating abnormality index. The present invention corrects the sound frequency at each abnormal noise moment to eliminate the influence of different operating states; extracts the periodic characteristics of the abnormal noise moments to reduce the influence of other sounds that occasionally appear in the environment; obtains the operating abnormality index of the compression condensing unit in combination with the frequency abnormality and the loudness abnormality, obtains a more accurate operating status evaluation, and improves the reliability of the operating status monitoring of the compression condensing unit.

Description

Technical Field

[0001] The invention relates to the technical field of data processing, and in particular to a method for monitoring the operating status of a compression condensing unit. Background Art

[0002] The compression condensing unit is a key equipment used in refrigeration and air conditioning systems. It plays an important role in the industrial and commercial fields. It can not only provide a comfortable temperature environment for production and work, but also improve energy efficiency, reduce costs, and play a positive role in environmental protection. Monitoring the operating status of the compression condensing unit can ensure that the ambient temperature is comfortable and other equipment is operating normally.

[0003] The abnormal noise generated during the operation of the compression condensing unit generally manifests as a sudden change in sound frequency. However, when judging abnormal noise by sound frequency, it is usually affected by other sounds in the environment. Direct analysis of the collected sound will lead to inaccurate analysis results due to other sounds in the environment. Under different operating conditions, the working speed of mechanical parts is different, and the sound frequency of noise is different under different operating conditions. If the influence of different operating conditions is not eliminated, errors will occur in the analysis of abnormal operation of the compression condensing unit. Summary of the invention

[0004] The present invention provides an operating status monitoring method for a compression condensing unit, so as to solve the problem that the existing abnormal noise is judged by sound frequency, which is affected by other sounds in the environment and the influence of different operating states is not excluded, resulting in errors in analyzing the abnormal operating conditions of the compression condensing unit.

[0005] A method for monitoring the operating status of a compression condensing unit of the present invention adopts the following technical solution:

[0006] An embodiment of the present invention provides a method for monitoring the operating status of a compression condensing unit, the method comprising the following steps:

[0007] Collect the sound frequency data and sound loudness data of the compression condensing unit at each sampling moment;

[0008] According to the mutation of the sound frequency data at each sampling moment and the adjacent sampling moments, the frequency anomaly evaluation of each sampling moment is obtained; according to the frequency anomaly evaluation, the abnormal noise moments among all sampling moments are screened out;

[0009] According to the time interval between each abnormal noise moment and the adjacent non-abnormal noise moment, and the sound frequency of the non-abnormal noise moment, the sound frequency of each abnormal noise moment is corrected to obtain the corrected frequency of each abnormal noise moment; according to the corrected frequency of each abnormal noise moment, clustering is performed to obtain a number of homologous noise moment groups;

[0010] According to the time intervals of all abnormal noise moments in each homologous noise moment group and the frequency of occurrence of the time intervals, all abnormal operation moments and the abnormal weight of each abnormal operation moment are obtained; according to the difference in sound loudness data between all abnormal operation moments and adjacent non-abnormal noise moments, the loudness abnormality evaluation of all abnormal operation moments is obtained; according to the abnormal weights of all abnormal operation moments and the loudness abnormality evaluation, the operation abnormality index of the compression condensing unit is obtained; according to the operation abnormality index of the compression condensing unit, the operation status monitoring of the compression condensing unit is carried out.

[0011] Furthermore, obtaining the frequency anomaly evaluation at each sampling moment according to the mutation of the sound frequency data at each sampling moment and the adjacent sampling moments includes:

[0012] The selection range n is preset with the i-th sampling time as the center, and the n sampling times closest to the center time interval are taken on both sides as the reference time of the i-th sampling time; the frequency anomaly evaluation r of the i-th sampling time i The calculation method is:

[0013]

[0014] Where: d i represents the sound frequency data at the i-th sampling moment, n represents the number of reference moments, d i,j represents the sound frequency data of the jth reference moment at the ith sampling moment, and Sigmoid() represents the Sigmoid function.

[0015] Furthermore, the step of screening out abnormal noise moments among all sampling moments according to the frequency anomaly evaluation includes:

[0016] A noise evaluation threshold is preset, and the sampling moments among all sampling moments that satisfy the frequency abnormality evaluation greater than the preset noise evaluation threshold are recorded as abnormal noise moments.

[0017] Furthermore, the method of correcting the sound frequency of each abnormal noise moment according to the time interval between each abnormal noise moment and the adjacent non-abnormal noise moment, and the sound frequency of the non-abnormal noise moment, and obtaining the corrected frequency of each abnormal noise frequency includes:

[0018] The difference between the sound frequency data at each abnormal noise moment and the state average frequency is used to obtain the corrected frequency at each abnormal noise moment.

[0019] Furthermore, the specific method of obtaining the state average frequency is:

[0020] For the pth abnormal noise moment, take the pth abnormal noise moment as the center, preset the second selection range m, take the m non-abnormal noise moments closest to the center time interval on both sides and record them as the comparison moments of the pth abnormal noise moment; the state average frequency z at the pth abnormal noise moment p The calculation method is:

[0021]

[0022] Where: m represents the number of comparison moments, t p,q represents the time interval between the pth abnormal noise moment and the qth comparison moment, d p,q Indicates the sound frequency data at the qth comparison time of the pth abnormal noise time.

[0023] Furthermore, clustering the corrected frequency of each abnormal noise frequency to obtain a plurality of homologous noise moment groups includes:

[0024] The correction frequency of each abnormal noise moment is clustered to obtain a number of clusters, and the set of abnormal noise moments corresponding to each correction frequency in each obtained cluster is recorded as a homologous noise moment group.

[0025] Furthermore, the method of obtaining all abnormal operation moments and the abnormal weight of each abnormal operation moment according to all abnormal noise frequency time intervals and the occurrence frequency of the time intervals in each homologous noise moment group includes:

[0026] The time interval between every two abnormal noise moments in each homologous noise moment group is obtained, the occurrence frequency of each time interval in each homologous noise moment group is counted, and the time interval with the highest occurrence frequency in each homologous noise moment group is recorded as the cycle length of the homologous noise moment group; two abnormal noise moments with equal time interval and cycle length in each homologous noise moment group are recorded as the operating abnormal moments in each homologous noise moment group, and the product of the cycle length and the occurrence frequency of each homologous noise moment group is linearly normalized, and each normalized result is recorded as the abnormal weight of all operating abnormal moments in each homologous noise moment group.

[0027] Furthermore, obtaining loudness abnormality evaluations of all abnormal operation moments according to the sound loudness data differences between all abnormal operation moments and adjacent non-abnormal noise moments includes:

[0028] The difference between the sound loudness data at the s-th abnormal operation moment and the mean of the sound loudness data at all comparison moments of the s-th abnormal operation moment, and the ratio of the mean difference to the mean of the sound loudness data at all comparison moments of the s-th abnormal operation moment are recorded as the loudness abnormality evaluation at the s-th abnormal operation moment.

[0029] Furthermore, the operation abnormality index of the compression condensing unit is obtained according to the abnormality weights and loudness abnormality evaluations of all operation abnormality moments, including:

[0030] The product of the loudness abnormality evaluation and the abnormality weight at all operating abnormal moments is accumulated and normalized, and recorded as the operating abnormality index of the compression condensing unit.

[0031] Further, the operation status monitoring of the compression condensing unit according to the operation abnormality index of the compression condensing unit includes:

[0032] An abnormal monitoring threshold is preset. When the operation abnormality index of the compression condensing unit is greater than the abnormal monitoring threshold, an abnormal operation status reminder is issued to the staff, and the staff is arranged to inspect and repair the compression condensing unit to realize the operation status monitoring of the compression condensing unit.

[0033] The beneficial effects of the technical solution of the present invention are: based on the mutation of the sound frequency data at each sampling moment and the adjacent sampling moments, the abnormal noise moments are preliminarily screened out; the sound frequency at each abnormal noise moment is corrected, and the sound frequencies under different operating states are adjusted to the same level to eliminate the influence of different operating states; the abnormal operating moments are obtained according to the periodic characteristics exhibited at the abnormal noise moments, and the influence of other sounds that occur accidentally in the environment is reduced; the operating abnormality index of the compression condensing unit is obtained in combination with the frequency anomaly and the loudness anomaly at the abnormal operating moment, so as to obtain a more accurate operating status evaluation of the compression condensing unit and improve the reliability of operating status monitoring of the compression condensing unit. BRIEF DESCRIPTION OF THE DRAWINGS

[0034] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.

[0035] Figure 1 The present invention is a flowchart of the steps of a method for monitoring the operating status of a compression condensing unit. DETAILED DESCRIPTION

[0036] In order to further explain the technical means and effects adopted by the present invention to achieve the predetermined invention purpose, the following is a detailed description of the operating status monitoring method of a compression condensing unit proposed by the present invention, its specific implementation method, structure, characteristics and effects, in combination with the accompanying drawings and preferred embodiments. In the following description, different "one embodiment" or "another embodiment" does not necessarily refer to the same embodiment. In addition, specific features, structures or characteristics in one or more embodiments may be combined in any suitable form.

[0037] Unless defined otherwise, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this invention belongs.

[0038] The specific scheme of the operating status monitoring method of a compression condensing unit provided by the present invention is described in detail below with reference to the accompanying drawings.

[0039] See also Figure 1 , which shows a flow chart of the steps of a method for monitoring the operating status of a compression condensing unit provided by an embodiment of the present invention, the method comprising the following steps:

[0040] Step S001: Collect the sound frequency data and sound loudness data of the compression condensing unit at each sampling moment.

[0041] The purpose of this embodiment is to monitor abnormal conditions occurring during the operation of the compression condensing unit by analyzing the sound frequency data during the operation of the compression condensing unit. Therefore, the sound sensor is first used to collect the sound frequency data and the sound loudness data at each moment during the operation of the compression condensing unit. This embodiment is described as collecting sound frequency data and sound loudness data for a collection time of 10 minutes and collecting sound frequency data and sound loudness data every 0.5 seconds as a sampling moment. The collection time and collection interval of other embodiments may be set to other values, which are not specifically limited in this embodiment.

[0042] Step S002: Obtain frequency anomaly evaluation at each sampling moment; and filter out abnormal noise moments among all sampling moments according to the frequency anomaly evaluation.

[0043] It should be noted that during the operation of the compression condensing unit, the sound frequency of the sound generated by normal operation is low and will not fluctuate significantly, while the sound frequency of the sound generated when an abnormality occurs will suddenly change, showing an increase in a short period of time and a recovery to the normal operating frequency in a short period of time. Therefore, the sound frequency at the abnormal moment in the collected sound frequency data will appear as a short spike; therefore, by comparing the sound frequency data of each sampling moment with several adjacent sampling moments, the greater the difference in sound frequency data between the sampling moment and its adjacent sampling moments, the more likely the abnormality will occur at the sampling moment, and based on the sound frequency data of each sampling moment and its adjacent sampling moments, the frequency abnormality evaluation of each sampling moment is obtained.

[0044] Specifically, a selection range n is preset with the i-th sampling moment as the center, and n sampling moments closest to the center time interval are taken on both sides as reference moments of the i-th sampling moment. This embodiment is described by taking n=8 as an example, and other embodiments may be set to other values, which are not specifically limited in this embodiment; it should be particularly noted that if one side is less than sampling moments, then take the maximum number of sampling moments that can be taken; the frequency anomaly evaluation r of the i-th sampling moment i The calculation method is:

[0045]

[0046] Where: d i represents the sound frequency data at the i-th sampling moment, n represents the number of reference moments, d i,j represents the sound frequency data of the jth reference moment at the i-th sampling moment, Sigmoid() represents the Sigmoid function;

[0047] It should be noted that It represents the cumulative sum of the differences between the sound frequency data at the i-th sampling moment and the sound frequency data at each reference moment. The larger the value, the greater the difference between the sound frequency data at the i-th sampling moment and the sound frequency data at other moments in the neighborhood, indicating that a sudden change in sound frequency is more likely to occur, and the greater the frequency anomaly evaluation at the i-th sampling moment;

[0048] Similarly, obtain the frequency anomaly evaluation of each sampling moment; preset the noise evaluation threshold, record all sampling moments that satisfy the frequency anomaly evaluation greater than the preset noise evaluation threshold as abnormal noise moments, and obtain all abnormal noise moments; the preset noise evaluation threshold in this embodiment is 0.5, and other embodiments can be set to other values, which are not specifically limited in this embodiment.

[0049] Step S003: correct the sound frequency at each abnormal noise moment to obtain the corrected frequency at each abnormal noise moment; and cluster the corrected frequency at each abnormal noise moment to obtain a number of homologous noise moment groups.

[0050] It should be noted that, since the sound frequency data and sound loudness data of the compression condensing unit are relatively small compared to the stable operating state before it reaches the stable operating state at the initial startup, errors may occur in the subsequent analysis. First, the average frequency level of the operating state at the abnormal noise moment is reflected by the frequencies of several non-abnormal noise moments adjacent to the abnormal noise moment. The frequency of each abnormal noise moment is corrected according to the average frequency level to avoid the influence of different operating states on the subsequent analysis; the corrected frequencies are clustered;

[0051] It should be further explained that the collected sounds may come from different sources, while the sounds from the same source have similar characteristics and similar sound frequencies. Therefore, through clustering, the abnormal noises with similar frequencies after correction are clustered into the same cluster at all times, and the noises within a cluster are from the same source.

[0052] Specifically, taking the pth abnormal noise moment as the center, a second selection range m is preset, and m non-abnormal noise moments closest to the center time interval are taken on both sides and recorded as the comparison moments of the pth abnormal noise moment. sampling moments, then the maximum number of sampling moments that can be obtained is taken on that side, and the process stops when m moments are taken on both sides. This embodiment is described by taking m=8 as an example, and other embodiments can be set to other values, which are not specifically limited in this embodiment; the state average frequency z at the pth abnormal noise moment p The calculation method is:

[0053]

[0054] Where: m represents the number of comparison moments, t p,q represents the time interval between the pth abnormal noise moment and the qth comparison moment, d p,q The sound frequency data representing the qth comparison moment of the pth abnormal noise moment;

[0055] It should be noted that As a weight, the smaller the time interval between the comparison moment and the pth abnormal noise moment is, the more it can show the operating state of the compression condensing unit at the pth abnormal noise moment. The smaller the value is, the greater the average frequency of the state at the pth abnormal noise moment is. The weighted mean of all comparison moments representing the pth abnormal noise moment is used as the state average frequency for correcting the frequency sound data of each abnormal noise moment.

[0056] Similarly, the state average frequency at each abnormal noise moment is obtained; the difference between the sound frequency data at each abnormal noise moment and the state average frequency is used to obtain the corrected frequency at each abnormal noise moment.

[0057] Furthermore, the corrected frequency of each abnormal noise moment is clustered to obtain several clusters, and the set of abnormal noise moments corresponding to each corrected frequency in each obtained cluster is recorded as a homologous noise moment group; the clustering method in this embodiment is described using the DBSCAN clustering method as an example, the clustering distance metric is the difference in corrected frequencies, the clustering radius is set to 500 Hz, and the number of clustering samples is set to 3. Other embodiments may select other clustering methods or set other values, which are not specifically limited in this embodiment.

[0058] Step S004, obtaining all abnormal operation moments and the abnormal weight of each abnormal operation moment; obtaining the loudness abnormality evaluation of all abnormal operation moments; obtaining the abnormal operation index of the compression condensing unit; and monitoring the operation status of the compression condensing unit according to the abnormal operation index of the compression condensing unit.

[0059] It should be noted that the abnormal noise may be caused by an abnormality in the operation of the compression condensing unit, or it may be environmental noise that occurs accidentally in the surrounding environment. The reason for the abnormal noise in the operation of the compression condensing unit is usually the wear of mechanical parts or improper installation. Therefore, the abnormal noise in the operation of the compression condensing unit will show periodicity, while the environmental noise is accidental and irregular and will not show periodicity. Therefore, this embodiment obtains the abnormal weight of the abnormal noise moment that shows periodicity based on the abnormal noise moment that shows periodicity in the homologous noise moment group, combined with the period length and number of periods of the periodic abnormal noise moment.

[0060] Specifically, the time interval between every two abnormal noise moments in each homologous noise moment group is obtained, the frequency of occurrence of each time interval in each homologous noise moment group is counted, and the time interval with the highest frequency of occurrence in each homologous noise moment group is recorded as the cycle length of the homologous noise moment group; two abnormal noise moments with equal time interval and cycle length in each homologous noise moment group are recorded as the operating abnormal moments in each homologous noise moment group, the product of the cycle length and the occurrence frequency of each homologous noise moment group is linearly normalized, and each normalized result is recorded as the abnormal weight of all operating abnormal moments in each homologous noise moment group; the abnormal weights of all operating abnormal moments in all homologous noise moment groups are obtained.

[0061] It should be further explained that the sound loudness data of the sound generated during the normal operation of the compression condensing unit is usually relatively stable. When an operation abnormality occurs, the greater the sound loudness data at the moment of the operation abnormality, the greater the degree of the operation abnormality. Therefore, the sound loudness data at the moment of the operation abnormality and the sound loudness data during the normal operation of the compression condensing unit are used to calculate the loudness abnormality evaluation at each moment of the operation abnormality, and then the loudness abnormality evaluation at all moments of the operation abnormality and the abnormality weight are combined to obtain the abnormality degree of the operation abnormality of the compression condensing unit.

[0062] Specifically, for the s-th abnormal operation moment, the difference between the sound loudness data at the s-th abnormal operation moment and the mean of the sound loudness data at all comparison moments of the s-th abnormal operation moment, and the ratio of the mean difference to the mean of the sound loudness data at all comparison moments of the s-th abnormal operation moment are recorded as the loudness abnormality evaluation of the s-th abnormal operation moment.

[0063] Furthermore, the products of the loudness abnormality evaluation and the abnormality weight at all moments of abnormal operation are accumulated, and the accumulated results are normalized using the Sigmoid function and recorded as the abnormal operation index of the compression condensing unit; the larger the abnormal operation index, the greater the degree of abnormal operation of the compression condensing unit.

[0064] An abnormal monitoring threshold is preset. When the operation abnormality index of the compression condensing unit is greater than the abnormal monitoring threshold, an abnormal operation status reminder is issued to the staff, so that the staff can promptly inspect and repair the compression condensing unit to realize the operation status monitoring of the compression condensing unit; the abnormal monitoring threshold is preset to 0.5 in this embodiment, and other embodiments can be set to other values, which are not specifically limited in this embodiment.

[0065] The above description is only a preferred embodiment of the present invention and is not intended to limit the present invention. Any modifications, equivalent substitutions, improvements, etc. made within the principles of the present invention should be included in the protection scope of the present invention.

Claims

1. A method for monitoring the operating status of a compression condensing unit, characterized in that: The method comprises the following steps: Collect the sound frequency data and sound loudness data of the compression condensing unit at each sampling moment; According to the mutation of the sound frequency data at each sampling moment and the adjacent sampling moments, the frequency anomaly evaluation of each sampling moment is obtained; according to the frequency anomaly evaluation, the abnormal noise moments among all sampling moments are screened out; The method of obtaining the frequency anomaly evaluation at each sampling moment according to the mutation of the sound frequency data at each sampling moment and the adjacent sampling moments includes: The i-th sampling moment is used as the center to preset the selection range n, and the n sampling moments closest to the center time interval are taken on both sides as the reference moments of the i-th sampling moment; the frequency anomaly evaluation of the i-th sampling moment The calculation method is: ； Where: Represents the sound frequency data at the i-th sampling moment, represents the number of reference moments, represents the sound frequency data of the jth reference moment at the i-th sampling moment, Represents the Sigmoid function; According to the time interval between each abnormal noise moment and the adjacent non-abnormal noise moment, and the sound frequency of the non-abnormal noise moment, the sound frequency of each abnormal noise moment is corrected to obtain the corrected frequency of each abnormal noise moment; according to the corrected frequency of each abnormal noise moment, clustering is performed to obtain a number of homologous noise moment groups; The method of correcting the sound frequency at each abnormal noise moment according to the time interval between each abnormal noise moment and the adjacent non-abnormal noise moment and the sound frequency at the non-abnormal noise moment to obtain the corrected frequency of each abnormal noise frequency includes: The difference between the sound frequency data at each abnormal noise moment and the state average frequency is used to obtain the corrected frequency at each abnormal noise moment; The specific method of obtaining the state average frequency is: For the pth abnormal noise moment, take the pth abnormal noise moment as the center, preset the second selection range m, take the m non-abnormal noise moments closest to the center time interval on both sides and record them as the comparison moments of the pth abnormal noise moment; the state average frequency of the pth abnormal noise moment The calculation method is: ； Where: Indicates the number of comparison moments, represents the time interval between the pth abnormal noise moment and the qth comparison moment, The sound frequency data representing the qth comparison moment of the pth abnormal noise moment; According to the time intervals of all abnormal noise moments in each homologous noise moment group and the frequency of occurrence of the time intervals, all abnormal operation moments and the abnormal weight of each abnormal operation moment are obtained; according to the difference in sound loudness data between all abnormal operation moments and adjacent non-abnormal noise moments, the loudness abnormality evaluation of all abnormal operation moments is obtained; according to the abnormal weights of all abnormal operation moments and the loudness abnormality evaluation, the operation abnormality index of the compression condensing unit is obtained; according to the operation abnormality index of the compression condensing unit, the operation status monitoring of the compression condensing unit is carried out.

2. The method for monitoring the operating status of a compression condensing unit according to claim 1, characterized in that: The step of screening out abnormal noise moments in all sampling moments according to frequency anomaly evaluation includes: A noise evaluation threshold is preset, and the sampling moments among all sampling moments that satisfy the frequency abnormality evaluation greater than the preset noise evaluation threshold are recorded as abnormal noise moments.

3. The method for monitoring the operating status of a compression condensing unit according to claim 1, characterized in that: The step of clustering the corrected frequency of each abnormal noise frequency to obtain a plurality of homologous noise moment groups includes: The correction frequency of each abnormal noise moment is clustered to obtain a number of clusters, and the set of abnormal noise moments corresponding to each correction frequency in each obtained cluster is recorded as a homologous noise moment group.

4. The method for monitoring the operating status of a compression condensing unit according to claim 1, characterized in that: The method of obtaining all abnormal operation moments and the abnormal weight of each abnormal operation moment according to all abnormal noise frequency time intervals and the occurrence frequency of the time intervals in each homologous noise moment group includes: The time interval between every two abnormal noise moments in each homologous noise moment group is obtained, the occurrence frequency of each time interval in each homologous noise moment group is counted, and the time interval with the highest occurrence frequency in each homologous noise moment group is recorded as the cycle length of the homologous noise moment group; two abnormal noise moments with equal time interval and cycle length in each homologous noise moment group are recorded as the operating abnormal moments in each homologous noise moment group, and the product of the cycle length and the occurrence frequency of each homologous noise moment group is linearly normalized, and each normalized result is recorded as the abnormal weight of all operating abnormal moments in each homologous noise moment group.

5. The method for monitoring the operating status of a compression condensing unit according to claim 1, characterized in that: The step of obtaining loudness abnormality evaluations of all abnormal operation moments according to the sound loudness data differences between all abnormal operation moments and adjacent non-abnormal noise moments includes: The difference between the sound loudness data at the s-th abnormal operation moment and the mean of the sound loudness data at all comparison moments of the s-th abnormal operation moment, and the ratio of the mean difference to the mean of the sound loudness data at all comparison moments of the s-th abnormal operation moment are recorded as the loudness abnormality evaluation at the s-th abnormal operation moment.

6. The method for monitoring the operating status of a compression condensing unit according to claim 1, characterized in that: The operation abnormality index of the compression condensing unit is obtained according to the abnormality weights and loudness abnormality evaluations of all operation abnormality moments, including: The product of the loudness abnormality evaluation and the abnormality weight at all operating abnormal moments is accumulated and normalized, and recorded as the operating abnormality index of the compression condensing unit.

7. The method for monitoring the operating status of a compression condensing unit according to claim 1, characterized in that: The monitoring of the operating status of the compression condensing unit according to the abnormal operating index of the compression condensing unit includes: An abnormal monitoring threshold is preset. When the operation abnormality index of the compression condensing unit is greater than the abnormal monitoring threshold, an abnormal operation status reminder is issued to the staff, and the staff is arranged to inspect and repair the compression condensing unit to realize the operation status monitoring of the compression condensing unit.

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