Centrifugal fan bearing life evaluation method and system

Abstract

The invention discloses a centrifugal fan bearing life evaluation method and system, and belongs to the technical field of bearing life evaluation. Calling the shutdown frequency, the time point corresponding to shutdown and the shutdown duration of the centrifugal fan in the sampling time period, and synchronously collecting dust concentration data of an external bearing cavity and an internal bearing cavity of the centrifugal fan; calculating a dust invasion efficiency coefficient of an inner cavity and an outer cavity of the centrifugal fan from single shutdown to shutdown end in the single sampling time period, and calculating a fretting wear life reduction prediction duration from single shutdown to shutdown end in the single sampling time period of the centrifugal fan; based on the fretting wear life reduction prediction duration, calculating a fretting wear life reduction prediction duration accumulated value of the centrifugal fan in a single sampling time period; according to the invention, the method achieves the precise evaluation and dynamic pre-control of the service life state of the bearing, and effectively improves the operation reliability of equipment and the intelligent level of operation and maintenance.

Description

Technical Field

[0001] The present invention relates to the technical field of bearing life assessment, and in particular to a centrifugal fan bearing life assessment method and system. Background Art

[0002] Centrifugal fans are critical equipment in industrial ventilation, air conditioning, and environmental management. Their operating status directly impacts the overall system stability and energy efficiency. Especially in high-dust environments, bearings, as crucial supporting components of fans, are subject to extreme loads and complex operating stresses, making them a key factor affecting fan life and reliability. With the advancement of intelligent industrial equipment and refined maintenance management, research on fan bearing condition monitoring, life prediction, and risk assessment has gradually emerged. Some current studies attempt to indirectly assess bearing operating status using physical indicators such as temperature rise and vibration. Others propose constructing rough life assessment mechanisms based on bearing material fatigue models or operating hours. However, due to the complex operating conditions often associated with fans during actual operation, such as frequent starts and stops, load fluctuations, and particulate intrusion, traditional assessment methods based on time or temperature thresholds struggle to accurately reflect actual wear mechanisms. This is particularly true for addressing the rapid reduction in bearing life caused by fretting wear.

[0003] Current technology lacks a dynamic coupling modeling mechanism for the effect of dust intrusion and micro-wear during centrifugal fan bearing operation, making it difficult to quantitatively characterize the specific wear trends of the fan within a sampling period. Most methods fail to combine shutdown behavior with the evolution of pollution after shutdown, ignoring the delayed intrusion and accumulation effects of dust on the bearing cavity under static conditions, resulting in deviations in bearing life assessment results under critical operating conditions. Furthermore, existing monitoring systems rely heavily on manual periodic maintenance inspections, resulting in delayed early warning responses and a lack of prediction mechanisms and quantitative judgment criteria based on actual operating data. Summary of the Invention

[0004] The object of the present invention is to provide a centrifugal fan bearing life assessment method and system to solve the problems raised in the above background technology.

[0005] In order to solve the above technical problems, the present invention provides the following technical solutions:

[0006] A method for evaluating the bearing life of a centrifugal fan comprises the following steps: step S1: retrieving the number of shutdowns of the centrifugal fan within a sampling time period, the time point corresponding to each shutdown, and the shutdown duration, and synchronously collecting dust concentration data of the external and internal bearing cavities of the centrifugal fan; step S2: calculating the dust intrusion efficiency coefficient of the centrifugal fan inner and outer cavities from a single shutdown to the end of the shutdown within a single sampling time period based on the external dust concentration data and the internal bearing cavity dust concentration data of the centrifugal fan during a single shutdown within a single sampling time period; step S3: calculating the predicted micro-motion wear life reduction duration from a single shutdown within a single sampling time period to the end of the shutdown based on the dust intrusion efficiency coefficient of the centrifugal fan inner and outer cavities; step S4: calculating the cumulative predicted micro-motion wear life reduction duration of the centrifugal fan within a single sampling time period based on the predicted micro-motion wear life reduction duration; presetting a threshold value for the cumulative predicted duration, analyzing, and issuing an early warning.

[0007] As a preferred solution of the centrifugal fan bearing life assessment method described in the present invention, a sampling time period is set, and the operating condition data of the centrifugal fan is periodically retrieved from the background of the centrifugal fan operation control system. The operating condition data includes the number of shutdowns of the centrifugal fan within the sampling time period, the time point corresponding to each shutdown, and the shutdown duration; the i-th sampling time period is recorded as TF i , the time point and duration of the a-th shutdown of the centrifugal fan in the i-th sampling time period are recorded as TP a (TF i ) and DOD a (TF i );

[0008] Dust concentration sensors are respectively arranged in the external and internal bearing cavities of the centrifugal fan. At the time point corresponding to each shutdown of the centrifugal fan and the time point after the shutdown, the dust concentration data of the external and internal bearing cavities of the centrifugal fan are synchronously collected. The time point after the a-th shutdown of the centrifugal fan in the i-th sampling time period is recorded as ED a (TF i ), among which ED a (TF i )=TP a (TF i )+DOD a (TF i ).

[0009] It should be noted that the time point corresponding to each shutdown marks the critical moment when dust begins to invade, the shutdown duration is the core parameter that determines the dust accumulation time, the external dust concentration data reflects the environmental dust level, and the internal bearing cavity dust concentration data is an indicator that directly monitors the degree of seal failure; the external dust concentration data reflects the severity of the environment, and the internal bearing cavity dust concentration data is directly related to the bearing contamination risk; the traditional method is to monitor vibration data and temperature data during operation, but when the centrifugal fan is shut down, the bearing cavity is prone to inhaling external dust due to the negative pressure effect, and dust is more likely to invade.

[0010] As a preferred solution of the centrifugal fan bearing life assessment method of the present invention, the dust concentration data of the external and internal bearing cavities corresponding to the a-th shutdown of the centrifugal fan within the i-th sampling time period are recorded as EDC[TP a (TF i )] and IDC[TP a (TF i )]; The dust concentration data of the external and internal bearing cavities of the centrifugal fan after the ath shutdown in the i-th sampling time period are recorded as EDC[ED a (TF i )] and IDC[ED a (TF i )];

[0011] Based on the external dust concentration data EDC[TP a (TF i )] and internal bearing cavity dust concentration data IDC[TP a (TF i )], and the external dust concentration data EDC[ED a (TF i )] and internal bearing cavity dust concentration data IDC[ED a (TF i )], calculate the dust intrusion efficiency coefficient of the centrifugal fan inner and outer cavities from the ath shutdown to the end of the shutdown within the i-th sampling time period.

[0012] As a preferred solution of the centrifugal fan bearing life assessment method of the present invention, the specific implementation process of the dust intrusion efficiency coefficient of the inner and outer cavities of the centrifugal fan includes:

[0013] Based on the external dust concentration data EDC[TP a (TF i)] and the external dust concentration data EDC[ED a (TF i )], calculate the average external dust concentration of the centrifugal fan from the ath shutdown to the end of the shutdown within the i-th sampling time period, and record it as in,

[0014] The average value of external dust concentration based on the centrifugal fan from the ath shutdown to the end of the shutdown within the i-th sampling time period Calculate the dust intrusion efficiency coefficient of the centrifugal fan's inner and outer cavities from the ath shutdown to the end of the shutdown within the i-th sampling time period. The calculation formula is as follows:

[0015]

[0016] Among them, η a (TF i ) represents the dust intrusion efficiency coefficient of the centrifugal fan inner and outer cavities from the ath shutdown to the end of the shutdown within the i-th sampling time period.

[0017] It should be noted that the molecule IDC[ED a (TF i )]-IDC[TP a (TF i )] is the increase in dust concentration in the internal bearing cavity during shutdown, and the denominator is the average value of the external dust concentration. The ratio of the two reflects the efficiency of external dust penetrating the sealing structure into the interior; the dust intrusion efficiency coefficient η of the inner and outer cavities of the centrifugal fan a (TF i ) is higher, indicating that the ratio of dust intrusion to external concentration is greater, the bearing sealing performance is worse or the risk of environmental dust intrusion is higher; this formula establishes a quantitative index of dust intrusion, which can directly relate the external environment to the degree of internal bearing contamination.

[0018] As a preferred embodiment of the centrifugal fan bearing life assessment method described in the present invention, the dust intrusion efficiency coefficient η of the centrifugal fan inner and outer cavities from the ath shutdown of the centrifugal fan in the i-th sampling time period to the end of the shutdown is calculated. a (TF i ), calculate the predicted reduction time of the fretting wear life of the centrifugal fan from the ath shutdown to the end of the shutdown within the i-th sampling time period, as follows:

[0019] Preset internal and external cavity dust intrusion efficiency coefficient threshold η cri If the dust intrusion efficiency coefficient of the centrifugal fan inner and outer cavities is η a (TF i ) is greater than or equal to the dust intrusion efficiency coefficient threshold η of the inner and outer cavitiescri , it is determined that the dust intrusion efficiency of the inner and outer cavities of the centrifugal fan is high from the ath shutdown to the end of the shutdown within the i-th sampling time period. The predicted reduction time of the fretting wear life of the centrifugal fan from the ath shutdown to the end of the shutdown within the i-th sampling time period is calculated. The calculation formula is as follows:

[0020] ΔWRT i,a =α×DOD a (TF i )×[η a (TF i )-η cri ];

[0021] Where ΔWRT i,a It represents the predicted reduction time of fretting wear life of the centrifugal fan from the ath shutdown to the end of the shutdown within the i-th sampling time period, and α represents the preset wear rate coefficient.

[0022] It should be noted that when the dust intrusion efficiency coefficient η of the inner and outer cavities of the centrifugal fan is a (TF i ) exceeds the dust intrusion efficiency coefficient threshold η of the internal and external cavities cri When the dust intrusion reaches the level of significantly accelerating fretting wear, it is considered that normal dust intrusion (not reaching the wear threshold) is misjudged as risk and the false alarm rate is reduced. The formula is calculated by multiplying the part of the intrusion efficiency that exceeds the threshold by the downtime DOD. a (TF i ) and the wear rate coefficient α), converting dust intrusion into a life reduction time prediction, where α×DOD a (TF i ) can be understood as the basic wear amount, [η a (TF i )-η cri ] can be understood as an efficiency penalty item, that is, the more the standard is exceeded, the faster the damage will occur.

[0023] As a preferred embodiment of the centrifugal fan bearing life assessment method described in the present invention, the predicted time ΔWRT of the fretting wear life reduction from the ath shutdown to the end of the shutdown of the centrifugal fan in the i-th sampling time period is used. i,a , calculate the cumulative value of the predicted reduction time of the fretting wear life of the centrifugal fan in the i-th sampling time period, recorded as in, A represents the total number of shutdowns of the centrifugal fan during the i-th sampling time period;

[0024] It should be noted that this is the cumulative value of the predicted duration of micro-wear life reduction, not the average value. It emphasizes the cumulative effect of high-frequency shutdowns. For example, five short shutdowns in one day are more dangerous than one long shutdown.

[0025] Preset the cumulative value threshold of the micro-motion wear life reduction prediction time, if the cumulative value of the micro-motion wear life reduction prediction time of the centrifugal fan in the i-th sampling time period is If the value is greater than or equal to the cumulative value threshold of the predicted fretting wear life reduction time, it is determined that the centrifugal fan has an abnormal life reduction within the i-th sampling time period, and an early warning is issued and relevant personnel are notified to shut down the fan for maintenance.

[0026] A centrifugal fan bearing life assessment system includes: a data acquisition module, a dust intrusion efficiency coefficient calculation module, a life reduction time prediction module, and a life reduction time cumulative value calculation and analysis early warning module;

[0027] The data acquisition module is configured to retrieve the number of shutdowns of the centrifugal fan within a sampling period, the time point corresponding to each shutdown, and the duration of the shutdown, and simultaneously collect dust concentration data of the external and internal bearing cavities of the centrifugal fan;

[0028] The dust intrusion efficiency coefficient calculation module calculates the dust intrusion efficiency coefficient of the centrifugal fan's internal and external cavities from a single shutdown to the end of the shutdown within a single sampling time period based on the external dust concentration data and the internal bearing cavity dust concentration data of the centrifugal fan during a single shutdown within a single sampling time period;

[0029] The life reduction time prediction module calculates the predicted life reduction time of the centrifugal fan due to fretting wear from a single shutdown to the end of the shutdown within a single sampling time period based on the dust intrusion efficiency coefficient of the inner and outer cavities of the centrifugal fan;

[0030] The life reduction time cumulative value calculation and analysis warning module: based on the micro-motion wear life reduction prediction time, calculates the cumulative value of the micro-motion wear life reduction prediction time of the centrifugal fan within a single sampling time period; presets the prediction time cumulative value threshold, analyzes and issues a warning.

[0031] Furthermore, the dust intrusion efficiency coefficient calculation module includes a dust intrusion efficiency coefficient calculation unit;

[0032] The dust intrusion efficiency coefficient calculation unit calculates the dust intrusion efficiency coefficient of the inner and outer cavities of the centrifugal fan from the ath shutdown of the centrifugal fan in the i-th sampling time period to the end of the shutdown based on the external dust concentration data and the internal bearing cavity dust concentration data corresponding to the ath shutdown of the centrifugal fan in the i-th sampling time period, and the external dust concentration data and the internal bearing cavity dust concentration data after the ath shutdown of the centrifugal fan in the i-th sampling time period.

[0033] Furthermore, the life reduction time length prediction module includes a life reduction time length prediction unit;

[0034] The life reduction time prediction unit calculates the predicted life reduction time of fretting wear of the centrifugal fan from the ath shutdown to the end of the shutdown within the i-th sampling time period based on the dust intrusion efficiency coefficient of the centrifugal fan inner and outer cavities from the ath shutdown to the end of the shutdown within the i-th sampling time period, specifically as follows:

[0035] A dust intrusion efficiency coefficient threshold for the inner and outer cavities is preset. If the dust intrusion efficiency coefficient for the inner and outer cavities of the centrifugal fan is greater than or equal to the dust intrusion efficiency coefficient threshold, it is determined that the dust intrusion efficiency for the inner and outer cavities of the centrifugal fan is high from the ath shutdown to the end of the shutdown within the i-th sampling time period. Then, the predicted reduction time of the fretting wear life of the centrifugal fan from the ath shutdown to the end of the shutdown within the i-th sampling time period is calculated.

[0036] Furthermore, the life reduction time cumulative value calculation and analysis warning module includes a life reduction time cumulative value calculation unit and an analysis warning unit;

[0037] The life reduction time cumulative value calculation unit calculates the cumulative value of the fretting wear life reduction prediction time of the centrifugal fan in the i-th sampling time period based on the fretting wear life reduction prediction time from the a-th shutdown to the end of the shutdown of the centrifugal fan in the i-th sampling time period;

[0038] The analysis and early warning unit: presets a threshold value for the cumulative value of the predicted reduction time of the micro-motion wear life. If the cumulative value of the predicted reduction time of the micro-motion wear life of the centrifugal fan in the i-th sampling time period is greater than or equal to the threshold value for the cumulative value of the predicted reduction time of the micro-motion wear life, it is determined that the centrifugal fan has an abnormal life reduction in the i-th sampling time period, and an early warning is issued and relevant personnel are notified to shut down the fan for maintenance.

[0039] Compared with the prior art, the beneficial effects achieved by the present invention are as follows: in a centrifugal fan bearing life assessment method and system provided by the present invention, by setting a sampling time period, the number of shutdowns, shutdown time points and shutdown durations of the centrifugal fan within the period are collected, and the dust concentration data of the external and internal bearing cavities are simultaneously obtained, thereby realizing dynamic perception of the operating conditions and the pollution environment; on this basis, the dust intrusion efficiency coefficients of the internal and external cavities during each shutdown process are calculated, and the actual invasion intensity of the external dust on the bearing structure is quantified, thereby providing a key basis for judging the trend of micro-wear reduction; further based on the dust intrusion efficiency, the predicted life reduction duration after a single shutdown is calculated, and a quantitative mapping relationship between external pollution and internal failure is constructed; finally, the life change trend is judged by the cumulative value of multiple predicted durations within the period. If it exceeds the preset threshold, an early warning is triggered, prompting maintenance operation. By constructing a closed-loop mechanism between shutdown behavior, pollution intrusion, wear process and life warning, this method realizes accurate assessment and dynamic pre-control of the bearing life status, effectively improving the reliability of equipment operation and the intelligent level of operation and maintenance. BRIEF DESCRIPTION OF THE DRAWINGS

[0040] The accompanying drawings are used to provide further understanding of the present invention and constitute a part of the specification. They are used to explain the present invention together with the embodiments of the present invention and do not constitute a limitation of the present invention.

[0041] Figure 1 This is a schematic diagram of the steps of a centrifugal fan bearing life assessment method according to the present invention;

[0042] Figure 2 It is a structural schematic diagram of a centrifugal fan bearing life assessment system of the present invention. DETAILED DESCRIPTION

[0043] The following will clearly and completely describe the technical solutions in the embodiments of the present invention in conjunction with the accompanying drawings. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without making creative efforts are within the scope of protection of the present invention.

[0044] See also Figure 1 In the first embodiment, a method for evaluating the life of a centrifugal fan bearing is provided, the method comprising the following steps:

[0045] Step S1: retrieve the number of shutdowns of the centrifugal fan within a sampling time period, the time point corresponding to each shutdown, and the shutdown duration, and simultaneously collect dust concentration data of the external and internal bearing cavities of the centrifugal fan.

[0046] Specifically, a sampling time period is set, and the operating condition data of the centrifugal fan is periodically retrieved from the background of the centrifugal fan operation control system. The operating condition data includes the number of shutdowns of the centrifugal fan within the sampling time period, the time point corresponding to each shutdown, and the shutdown duration; the i-th sampling time period is recorded as TF i , the time point and duration of the a-th shutdown of the centrifugal fan in the i-th sampling time period are recorded as TP a (TF i ) and DOD a (TF i );

[0047] Furthermore, dust concentration sensors are respectively arranged in the external and internal bearing cavities of the centrifugal fan, and the dust concentration data of the external and internal bearing cavities of the centrifugal fan are synchronously collected at the time point corresponding to each shutdown of the centrifugal fan and the time point after the shutdown ends. The time point after the ath shutdown of the centrifugal fan in the i-th sampling time period is recorded as ED a (TF i ), among which ED a (TF i )=TP a (TF i )+DOD a (TF i ).

[0048] Step S2: Based on the external dust concentration data and the internal bearing cavity dust concentration data of the centrifugal fan during a single shutdown and after the shutdown within a single sampling time period, calculate the dust intrusion efficiency coefficient of the inner and outer cavities of the centrifugal fan from the single shutdown of the centrifugal fan to the end of the shutdown within a single sampling time period.

[0049] Specifically, the dust concentration data of the external and internal bearing cavities corresponding to the a-th shutdown of the centrifugal fan in the i-th sampling time period are recorded as EDC[TP a (TF i )] and IDC[TP a (TF i )]; The dust concentration data of the external and internal bearing cavities of the centrifugal fan after the ath shutdown in the i-th sampling time period are recorded as EDC[ED a (TF i )] and IDC[ED a (TF i )];

[0050] Furthermore, based on the external dust concentration data EDC[TP corresponding to the a-th shutdown of the centrifugal fan in the i-th sampling time period a (TF i)] and internal bearing cavity dust concentration data IDC[TP a (TF i )], and the external dust concentration data EDC[ED a (TF i )] and internal bearing cavity dust concentration data IDC[ED a (TF i )], calculate the dust intrusion efficiency coefficient of the centrifugal fan inner and outer cavities from the ath shutdown to the end of the shutdown within the i-th sampling time period, as follows:

[0051] Based on the external dust concentration data EDC[TP a (TF i )] and the external dust concentration data EDC[ED a (TF i )], calculate the average external dust concentration of the centrifugal fan from the ath shutdown to the end of the shutdown within the i-th sampling time period, and record it as in,

[0052] Furthermore, based on the average external dust concentration from the ath shutdown of the centrifugal fan to the end of the shutdown within the i-th sampling time period, Calculate the dust intrusion efficiency coefficient of the centrifugal fan's inner and outer cavities from the ath shutdown to the end of the shutdown within the i-th sampling time period. The calculation formula is as follows:

[0053]

[0054] Among them, η a (TF i ) represents the dust intrusion efficiency coefficient of the centrifugal fan inner and outer cavities from the ath shutdown to the end of the shutdown within the i-th sampling time period.

[0055] Step S3: Based on the dust intrusion efficiency coefficient of the inner and outer cavities of the centrifugal fan, the predicted reduction time of the fretting wear life of the centrifugal fan from a single shutdown to the end of the shutdown within a single sampling time period is calculated.

[0056] Specifically, the dust intrusion efficiency coefficient η of the centrifugal fan inner and outer cavities from the ath shutdown of the centrifugal fan in the i-th sampling time period to the end of the shutdown is a (TF i ), calculate the predicted reduction time of the fretting wear life of the centrifugal fan from the ath shutdown to the end of the shutdown within the i-th sampling time period, as follows:

[0057] Preset internal and external cavity dust intrusion efficiency coefficient threshold η cri If the dust intrusion efficiency coefficient of the centrifugal fan inner and outer cavities is η a (TF i ) is greater than or equal to the dust intrusion efficiency coefficient threshold η of the inner and outer cavities cri , it is determined that the dust intrusion efficiency of the inner and outer cavities of the centrifugal fan is high from the ath shutdown to the end of the shutdown within the i-th sampling time period. The predicted reduction time of the fretting wear life of the centrifugal fan from the ath shutdown to the end of the shutdown within the i-th sampling time period is calculated. The calculation formula is as follows:

[0058] ΔWRT i,a =α×DOD a (TF i )×[η a (TF i )-η cri ];

[0059] Where ΔWRT i,a It represents the predicted reduction time of fretting wear life of the centrifugal fan from the ath shutdown to the end of the shutdown within the i-th sampling time period, and α represents the preset wear rate coefficient.

[0060] Step S4: Based on the predicted fretting wear life reduction time, calculate the cumulative value of the predicted fretting wear life reduction time of the centrifugal fan within a single sampling time period; preset a threshold value of the predicted cumulative value time, analyze and issue an early warning.

[0061] Specifically, the predicted reduction time ΔWRT of the fretting wear life of the centrifugal fan from the ath shutdown to the end of the shutdown within the i-th sampling time period is calculated. i,a , calculate the cumulative value of the predicted reduction time of the fretting wear life of the centrifugal fan in the i-th sampling time period, recorded as in, A represents the total number of shutdowns of the centrifugal fan during the i-th sampling time period;

[0062] Furthermore, a threshold value of the cumulative value of the predicted reduction time of the micro-motion wear life is preset. If the cumulative value of the predicted reduction time of the micro-motion wear life of the centrifugal fan in the i-th sampling time period is If the value is greater than or equal to the cumulative value threshold of the predicted fretting wear life reduction time, it is determined that the centrifugal fan has an abnormal life reduction within the i-th sampling time period, and an early warning is issued and relevant personnel are notified to shut down the fan for maintenance.

[0063] See also Figure 2In the second embodiment, a centrifugal fan bearing life assessment system is provided, which includes a data acquisition module, a dust intrusion efficiency coefficient calculation module, a life reduction time prediction module, and a life reduction time cumulative value calculation and analysis warning module;

[0064] The data acquisition module is configured to retrieve the number of shutdowns of the centrifugal fan within a sampling period, the time point corresponding to each shutdown, and the duration of the shutdown, and simultaneously collect dust concentration data of the external and internal bearing cavities of the centrifugal fan;

[0065] The dust intrusion efficiency coefficient calculation module calculates the dust intrusion efficiency coefficient of the centrifugal fan's internal and external cavities from a single shutdown to the end of the shutdown within a single sampling time period based on the external dust concentration data and the internal bearing cavity dust concentration data of the centrifugal fan during a single shutdown within a single sampling time period;

[0066] The life reduction time prediction module calculates the predicted life reduction time of the centrifugal fan due to fretting wear from a single shutdown to the end of the shutdown within a single sampling time period based on the dust intrusion efficiency coefficient of the inner and outer cavities of the centrifugal fan;

[0067] The life reduction time cumulative value calculation and analysis warning module: based on the micro-motion wear life reduction prediction time, calculates the cumulative value of the micro-motion wear life reduction prediction time of the centrifugal fan within a single sampling time period; presets the prediction time cumulative value threshold, analyzes and issues a warning.

[0068] Furthermore, the dust intrusion efficiency coefficient calculation module includes a dust intrusion efficiency coefficient calculation unit;

[0069] The dust intrusion efficiency coefficient calculation unit calculates the dust intrusion efficiency coefficient of the inner and outer cavities of the centrifugal fan from the ath shutdown of the centrifugal fan in the i-th sampling time period to the end of the shutdown based on the external dust concentration data and the internal bearing cavity dust concentration data corresponding to the ath shutdown of the centrifugal fan in the i-th sampling time period, and the external dust concentration data and the internal bearing cavity dust concentration data after the ath shutdown of the centrifugal fan in the i-th sampling time period.

[0070] Furthermore, the life reduction time length prediction module includes a life reduction time length prediction unit;

[0071] The life reduction time prediction unit calculates the predicted life reduction time of fretting wear of the centrifugal fan from the ath shutdown to the end of the shutdown within the i-th sampling time period based on the dust intrusion efficiency coefficient of the centrifugal fan inner and outer cavities from the ath shutdown to the end of the shutdown within the i-th sampling time period, specifically as follows:

[0072] A dust intrusion efficiency coefficient threshold for the inner and outer cavities is preset. If the dust intrusion efficiency coefficient for the inner and outer cavities of the centrifugal fan is greater than or equal to the dust intrusion efficiency coefficient threshold, it is determined that the dust intrusion efficiency for the inner and outer cavities of the centrifugal fan is high from the ath shutdown to the end of the shutdown within the i-th sampling time period. Then, the predicted reduction time of the fretting wear life of the centrifugal fan from the ath shutdown to the end of the shutdown within the i-th sampling time period is calculated.

[0073] Furthermore, the life reduction time cumulative value calculation and analysis warning module includes a life reduction time cumulative value calculation unit and an analysis warning unit;

[0074] The life reduction time cumulative value calculation unit calculates the cumulative value of the fretting wear life reduction prediction time of the centrifugal fan in the i-th sampling time period based on the fretting wear life reduction prediction time from the a-th shutdown to the end of the shutdown of the centrifugal fan in the i-th sampling time period;

[0075] The analysis and early warning unit: presets a threshold value for the cumulative value of the predicted reduction time of the micro-motion wear life. If the cumulative value of the predicted reduction time of the micro-motion wear life of the centrifugal fan in the i-th sampling time period is greater than or equal to the threshold value for the cumulative value of the predicted reduction time of the micro-motion wear life, it is determined that the centrifugal fan has an abnormal life reduction in the i-th sampling time period, and an early warning is issued and relevant personnel are notified to shut down the fan for maintenance.

[0076] Please refer to Table 1 and Table 2. In this third embodiment, a centrifugal fan bearing life assessment method is provided. In order to verify the beneficial effects of the present invention, a scientific demonstration is carried out through simulation experiments.

[0077] Assume that the sampling period is 1 day (24 hours), the total number of shutdowns of the centrifugal fan in the first sampling period is 2, and the preset wear rate coefficient α is 0.1h -1 , the preset dust intrusion efficiency coefficient threshold η of the inner and outer cavities cri is 0.3.

[0078] Table 1 Downtime event data

[0079]

[0080] Table 2 Dust concentration data

[0081]

[0082] Substituting the formula, we can see that the average external dust concentration of the centrifugal fan from the first shutdown to the end of the shutdown during the first sampling time period is

[0083] The average external dust concentration of the centrifugal fan from the second shutdown to the end of the shutdown within the first sampling time period

[0084] The dust intrusion efficiency coefficient of the centrifugal fan from the first shutdown to the end of the shutdown within the first sampling time period is

[0085] The dust intrusion efficiency coefficient of the centrifugal fan from the second shutdown to the end of the shutdown within the first sampling time period

[0086] For the first shutdown of the centrifugal fan within the first sampling time period:

[0087] The predicted reduction time of micro-wear life of centrifugal fan from the first shutdown to the end of shutdown in the first sampling time period is ΔWRT 1,1 =0.1×2×[0.444-0.3]=0.2×0.144=0.0288h;

[0088] For the second shutdown of the centrifugal fan within the first sampling time period:

[0089] The predicted reduction time of micro-wear life of centrifugal fan from the second shutdown to the end of shutdown within the first sampling time period is ΔWRT 1,1 =0.1×3×[0.414-0.3]=0.3×0.114=0.0342h;

[0090] The cumulative value of the predicted reduction time of the centrifugal fan's fretting wear life during the first sampling period

[0091] Assuming that the threshold of the cumulative value of the predicted reduction time of the micro-motion wear life is 0.05h, the cumulative value of the predicted reduction time of the micro-motion wear life of the centrifugal fan in the first sampling time period is It is determined that the centrifugal fan has an abnormal reduction in life within the first sampling time period, and an early warning is issued and relevant personnel are notified to shut down for maintenance.

[0092] It should be noted that, in this document, relational terms such as first and second, etc., are used only to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply any actual relationship or order between these entities or operations. Moreover, the terms "comprises," "comprising," or any other variations thereof are intended to cover non-exclusive inclusion, such that a process, method, article, or apparatus that includes a list of elements includes not only those elements but also other elements not explicitly listed, or elements inherent to such process, method, article, or apparatus.

[0093] Finally, it should be noted that the above description is merely a preferred embodiment of the present invention and is not intended to limit the present invention. Although the present invention has been described in detail with reference to the aforementioned embodiments, those skilled in the art will be able to modify the technical solutions described in the aforementioned embodiments or substitute equivalents for some of the technical features. Any modifications, equivalent substitutions, and improvements made within the spirit and principles of the present invention shall be included within the scope of protection of the present invention.

Claims

1. A centrifugal fan bearing life assessment method, characterized in that: The method comprises the following steps: Step S1: Retrieving the number of shutdowns of the centrifugal fan within a sampling time period, the time point corresponding to each shutdown, and the shutdown duration, and synchronously collecting dust concentration data of the external and internal bearing cavities of the centrifugal fan; Step S2: Calculating the dust intrusion efficiency coefficient of the centrifugal fan's internal and external cavities from the single shutdown to the end of the shutdown within a single sampling time period based on the external dust concentration data and the internal bearing cavity dust concentration data of the centrifugal fan during a single shutdown within a single sampling time period; Step S3: Based on the dust intrusion efficiency coefficient of the inner and outer cavities of the centrifugal fan, calculating the predicted reduction time of the fretting wear life of the centrifugal fan from a single shutdown to the end of the shutdown within a single sampling time period; Step S4: Based on the predicted fretting wear life reduction time, calculate the cumulative value of the predicted fretting wear life reduction time of the centrifugal fan within a single sampling time period; preset a threshold value of the predicted cumulative value time, analyze and issue an early warning.

2. A centrifugal fan bearing life assessment method according to claim 1, characterized in that: The specific implementation process of step S1 includes: Set a sampling time period, and periodically retrieve the operating condition data of the centrifugal fan from the background of the centrifugal fan operation control system. The operating condition data includes the number of shutdowns of the centrifugal fan within the sampling time period, the time point corresponding to each shutdown, and the shutdown duration; the i-th sampling time period is recorded as TF i , the time point and duration of the a-th shutdown of the centrifugal fan in the i-th sampling time period are recorded as TP a (TF i ) and DOD a (TF i ); Dust concentration sensors are respectively arranged in the external and internal bearing cavities of the centrifugal fan. At the time point corresponding to each shutdown of the centrifugal fan and the time point after the shutdown, the dust concentration data of the external and internal bearing cavities of the centrifugal fan are synchronously collected. The time point after the a-th shutdown of the centrifugal fan in the i-th sampling time period is recorded as ED a (TF i ), among which ED a (TF i )=TP a (TF i )+DOD a (TF i ).

3. A centrifugal fan bearing life assessment method according to claim 2, characterized in that: The specific implementation process of step S2 includes: The dust concentration data of the external and internal bearing cavities corresponding to the a-th shutdown of the centrifugal fan in the i-th sampling time period are recorded as EDC[TP a (TF i )] and IDC[TP a (TF i )]; The dust concentration data of the external and internal bearing cavities of the centrifugal fan after the ath shutdown in the i-th sampling time period are recorded as EDC[ED a (TF i )] and IDC[ED a (TF i )]; Based on the external dust concentration data EDC[TP a (TF i )] and internal bearing cavity dust concentration data IDC[TP a (TF i )], and the external dust concentration data EDC[ED a (TF i )] and internal bearing cavity dust concentration data IDC[ED a (TF i )], calculate the dust intrusion efficiency coefficient of the centrifugal fan inner and outer cavities from the ath shutdown to the end of the shutdown within the i-th sampling time period.

4. A centrifugal fan bearing life assessment method according to claim 3, characterized in that: The specific implementation process of the dust intrusion efficiency coefficient of the inner and outer cavities of the centrifugal fan includes: Based on the external dust concentration data EDC[TP a (TF i )] and the external dust concentration data EDC[ED a (TF i )], calculate the average external dust concentration of the centrifugal fan from the ath shutdown to the end of the shutdown within the i-th sampling time period, and record it as in, The average value of external dust concentration based on the centrifugal fan from the ath shutdown to the end of the shutdown within the i-th sampling time period Calculate the dust intrusion efficiency coefficient of the centrifugal fan's inner and outer cavities from the ath shutdown to the end of the shutdown within the i-th sampling time period. The calculation formula is as follows: Among them, η a (TF i ) represents the dust intrusion efficiency coefficient of the centrifugal fan inner and outer cavities from the ath shutdown to the end of the shutdown within the i-th sampling time period.

5. A centrifugal fan bearing life assessment method according to claim 4, characterized in that: The specific implementation process of step S3 includes: The dust intrusion efficiency coefficient η of the centrifugal fan's inner and outer cavities from the ath shutdown to the end of the shutdown within the i-th sampling time period is based on the centrifugal fan's inner and outer cavities dust intrusion efficiency coefficient η a (TF i ), calculate the predicted reduction time of the fretting wear life of the centrifugal fan from the ath shutdown to the end of the shutdown within the i-th sampling time period, as follows: Preset internal and external cavity dust intrusion efficiency coefficient threshold η cri If the dust intrusion efficiency coefficient of the centrifugal fan inner and outer cavities is η a (TF i ) is greater than or equal to the dust intrusion efficiency coefficient threshold η of the inner and outer cavities cri , it is determined that the dust intrusion efficiency of the inner and outer cavities of the centrifugal fan is high from the ath shutdown to the end of the shutdown within the i-th sampling time period. The predicted reduction time of the fretting wear life of the centrifugal fan from the ath shutdown to the end of the shutdown within the i-th sampling time period is calculated. The calculation formula is as follows: DWRT i,a =α×DOD a (TF i )×[η a (TF i )-or cri ]; Where ΔWRT i,a It represents the predicted reduction time of fretting wear life of the centrifugal fan from the ath shutdown to the end of the shutdown within the i-th sampling time period, and α represents the preset wear rate coefficient.

6. A centrifugal fan bearing life assessment method according to claim 5, characterized in that: The specific implementation process of step S4 includes: Based on the predicted reduction time ΔWRT of the fretting wear life of the centrifugal fan from the ath shutdown to the end of the shutdown within the i-th sampling time period i,a , calculate the cumulative value of the predicted reduction time of the fretting wear life of the centrifugal fan in the i-th sampling time period, recorded as in, A represents the total number of shutdowns of the centrifugal fan during the i-th sampling time period; Preset the cumulative value threshold of the micro-motion wear life reduction prediction time, if the cumulative value of the micro-motion wear life reduction prediction time of the centrifugal fan in the i-th sampling time period is If the value is greater than or equal to the cumulative value threshold of the predicted fretting wear life reduction time, it is determined that the centrifugal fan has an abnormal life reduction within the i-th sampling time period, and an early warning is issued and relevant personnel are notified to shut down the fan for maintenance.

7. A centrifugal fan bearing life assessment system, which executes a centrifugal fan bearing life assessment method according to any one of claims 1 to 6, characterized in that: The system includes: a data acquisition module, a dust intrusion efficiency coefficient calculation module, a life reduction time prediction module and a life reduction time cumulative value calculation and analysis early warning module; The data acquisition module is configured to retrieve the number of shutdowns of the centrifugal fan within a sampling period, the time point corresponding to each shutdown, and the duration of the shutdown, and simultaneously collect dust concentration data of the external and internal bearing cavities of the centrifugal fan; The dust intrusion efficiency coefficient calculation module calculates the dust intrusion efficiency coefficient of the centrifugal fan's internal and external cavities from a single shutdown to the end of the shutdown within a single sampling time period based on the external dust concentration data and the internal bearing cavity dust concentration data of the centrifugal fan during a single shutdown within a single sampling time period; The life reduction time prediction module calculates the predicted life reduction time of the centrifugal fan due to fretting wear from a single shutdown to the end of the shutdown within a single sampling time period based on the dust intrusion efficiency coefficient of the inner and outer cavities of the centrifugal fan; The life reduction time cumulative value calculation and analysis warning module: based on the micro-motion wear life reduction prediction time, calculates the cumulative value of the micro-motion wear life reduction prediction time of the centrifugal fan within a single sampling time period; presets the prediction time cumulative value threshold, analyzes and issues a warning.

8. The centrifugal fan bearing life assessment system according to claim 7, characterized in that: The dust intrusion efficiency coefficient calculation module includes a dust intrusion efficiency coefficient calculation unit; The dust intrusion efficiency coefficient calculation unit calculates the dust intrusion efficiency coefficient of the inner and outer cavities of the centrifugal fan from the ath shutdown of the centrifugal fan in the i-th sampling time period to the end of the shutdown based on the external dust concentration data and the internal bearing cavity dust concentration data corresponding to the ath shutdown of the centrifugal fan in the i-th sampling time period, and the external dust concentration data and the internal bearing cavity dust concentration data after the ath shutdown of the centrifugal fan in the i-th sampling time period.

9. The centrifugal fan bearing life assessment system according to claim 8, characterized in that: The life reduction time length prediction module includes a life reduction time length prediction unit; The life reduction time prediction unit calculates the predicted life reduction time of fretting wear of the centrifugal fan from the ath shutdown to the end of the shutdown within the i-th sampling time period based on the dust intrusion efficiency coefficient of the centrifugal fan inner and outer cavities from the ath shutdown to the end of the shutdown within the i-th sampling time period, specifically as follows: A dust intrusion efficiency coefficient threshold for the inner and outer cavities is preset. If the dust intrusion efficiency coefficient for the inner and outer cavities of the centrifugal fan is greater than or equal to the dust intrusion efficiency coefficient threshold, it is determined that the dust intrusion efficiency for the inner and outer cavities of the centrifugal fan is high from the ath shutdown to the end of the shutdown within the i-th sampling time period. Then, the predicted reduction time of the fretting wear life of the centrifugal fan from the ath shutdown to the end of the shutdown within the i-th sampling time period is calculated.

10. The centrifugal fan bearing life assessment system according to claim 9, characterized in that: The life reduction time cumulative value calculation and analysis warning module includes a life reduction time cumulative value calculation unit and an analysis warning unit; The life reduction time cumulative value calculation unit calculates the cumulative value of the fretting wear life reduction prediction time of the centrifugal fan in the i-th sampling time period based on the fretting wear life reduction prediction time from the a-th shutdown to the end of the shutdown of the centrifugal fan in the i-th sampling time period; The analysis and early warning unit: presets a threshold value for the cumulative value of the predicted reduction time of the micro-motion wear life. If the cumulative value of the predicted reduction time of the micro-motion wear life of the centrifugal fan in the i-th sampling time period is greater than or equal to the threshold value for the cumulative value of the predicted reduction time of the micro-motion wear life, it is determined that the centrifugal fan has an abnormal life reduction in the i-th sampling time period, and an early warning is issued and relevant personnel are notified to shut down the fan for maintenance.

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