Online monitoring method for material transportation of adsorption regeneration system

Abstract

The invention discloses an adsorption regeneration system material transportation on-line monitoring method which comprises the following steps: mounting on-line flaw detection devices at vertical and horizontal bearing positions of a chain bucket machine box body, and monitoring the abrasion thickness of a chain in a chain bucket machine in real time by using the on-line flaw detection devices, the method comprises the following steps: monitoring a chain, recording monitoring data, calculating the average wear thickness Twear of the chain, calculating the average wear rate Rrate of the chain according to the average wear thickness Twear of the chain, giving the maximum allowable wear thickness Tmax of the chain, calculating the remaining time treplace before the maximum allowable wear thickness is predicted to be reached according to the current wear thickness Tcurrent of the chain, and carrying out early warning prompt according to the remaining time treplace. And the worn chain is replaced. Therefore, through real-time monitoring and calculation, the abrasion trend of the chain can be predicted, and preventive maintenance is achieved.

Description

Technical Field

[0001] The invention relates to the technical field of environmental protection, and in particular to an online monitoring method for material transportation of an adsorption regeneration system. Background Art

[0002] With the rapid development of industry, adsorption regeneration technology has been widely used in thermal power, chemical industry, environmental protection and other fields. In the adsorption regeneration system, the chain bucket machine, as an important transmission link of material circulation, undertakes the task of transmitting adsorbents (such as activated carbon). However, under long-term operation and erosion of acidic environment, the internal chain and box seal of the chain bucket machine are prone to wear and thinning, resulting in chain breakage and powder leakage from the box, which in turn affects the normal operation of the system and the surrounding environment.

[0003] During long-term operation, the chain inside the bucket chain is corroded by the acidic environment, and the chain will gradually wear and thin. When the wear reaches a certain degree, the chain is prone to breakage, resulting in the cessation of material circulation, and the adsorption regeneration system can no longer function, thus bringing the risk of system shutdown.

[0004] The seal of the chain bucket conveyor box is easily worn and thinned under long-term operation and acidic environment corrosion. Due to the dustiness of the activated carbon itself and the activity during the transmission process, the inside of the box will be filled with carbon powder. When the seal is poor, carbon powder will emerge from the box, causing pollution to the surrounding environment. Summary of the invention

[0005] The present invention aims to solve one of the technical problems in the related art at least to a certain extent.

[0006] To this end, an embodiment of the present invention provides an online monitoring method for material transportation in an adsorption regeneration system, which effectively prevents and solves the problems of chain breakage and powder leakage from a box.

[0007] The method for online monitoring of material transportation in an adsorption regeneration system according to an embodiment of the present invention comprises:

[0008] Install online flaw detection devices at the vertical and horizontal load-bearing positions of the chain bucket conveyor casing;

[0009] Use the online flaw detection device to monitor the wear thickness of the chain inside the chain bucket in real time and record the monitoring data;

[0010] Calculate the average wear thickness T of the chain wear , satisfying the relationship:

[0011]

[0012] Among them, w i is the chain wear thickness monitored for the i-th time, and N is the number of monitoring times;

[0013] According to the average wear thickness T of the chain wear , calculate the average wear rate R of the chain rate , satisfying the relationship:

[0014]

[0015] The maximum allowable wear thickness T of a given chain max , according to the current chain wear thickness T current , calculate the estimated remaining time t before reaching the maximum allowable wear thickness replace , satisfying the relationship:

[0016]

[0017] According to the remaining time t replace Provide early warning and replace the worn chain.

[0018] In some embodiments, it also includes:

[0019] Monitor the vibration data of the chain bucket conveyor in real time and record the monitoring data;

[0020] Calculate the vibration root mean square value V rms , satisfying the relationship:

[0021]

[0022] Among them, v j is the vibration amplitude monitored for the jth time, and M is the number of monitoring times;

[0023] Set the vibration RMS value V rms The threshold V thres , when V rms Exceed V thres When the alarm is triggered, the chain bucket conveyor is to be maintained and inspected.

[0024] In some embodiments, when an alarm is triggered, current vibration data and timestamp are recorded and compared with historical vibration data to evaluate the vibration change trend, and the chain replacement criteria are adjusted based on the vibration data analysis results.

[0025] In some embodiments, the online flaw detection device includes a fixing frame and an ultrasonic probe. The ultrasonic probe is installed at the vertical and horizontal load-bearing positions of the chain bucket conveyor housing through the fixing frame, and the ultrasonic probe is aimed at the chain of the chain bucket conveyor.

[0026] In some embodiments, after the ultrasonic probe is installed, the ultrasonic probe is calibrated, the chain conveyor is started, and the ultrasonic probe is tested.

[0027] In some embodiments, vibration sensors are installed at key supporting points of the paternoster, and the vibration sensors are used to monitor vibration data of the paternoster in real time.

[0028] In some embodiments, it also includes:

[0029] Monitor the carbon powder concentration inside the chain bucket box and calculate the average carbon powder concentration C dust , satisfying the relationship:

[0030]

[0031] where c k is the carbon powder concentration monitored for the kth time, K is the number of monitoring times;

[0032] Set the vibration RMS value C dust The threshold C thres , when C dust More than C thres When adjusting the carbon powder concentration inside the chain bucket conveyor housing.

[0033] In some embodiments, a dust removal fan is installed on the chain bucket conveyor, the inlet pipe of the dust removal fan is connected to the dust suction port of the chain bucket conveyor, the outlet pipe of the dust removal fan is connected to the front-end equipment of the adsorption regeneration system, and the dust removal fan is used to establish a negative pressure environment inside the chain bucket conveyor casing.

[0034] In some embodiments, monitoring data is collected during the operation of the chain bucket machine, including but not limited to chain wear thickness, vibration amplitude, and carbon powder concentration;

[0035] Calculate the statistical indicators of the monitoring data and identify the outliers Z i , satisfying the relationship:

[0036]

[0037] Among them, x i is the i-th monitoring data point, μ is the mean of the monitoring data, and σ is the standard deviation of the monitoring data;

[0038] Determine the outlier threshold and mark all data points that meet the outlier threshold as outliers;

[0039] Calculate the impact of outliers on the overall monitoring data, n is the total number of monitoring data, and satisfies the relationship:

[0040]

[0041] If the impact exceeds the preset impact threshold thres, then exclude all data points marked as outliers from the monitoring data, re-analyze the remaining monitoring data to determine new statistical indicators, and update the outlier threshold of the monitoring data based on the new statistical indicators and the data set after outliers are excluded;

[0042] If the impact does not exceed the preset impact threshold thres , then keep the current data set without eliminating outliers;

[0043] The monitoring data after excluding outliers are used for fault diagnosis and maintenance decision of chain bucket crane.

[0044] In some embodiments, during the outlier elimination process, the influence of the outlier on the distribution of the monitoring data is calculated to satisfy the relationship:

[0045]

[0046] According to the skewness and the preset skewness threshold Skewness thres , adjust the outlier exclusion strategy;

[0047] If Skewness does not exceed Skewness thres , then re-evaluate the outlier threshold.

[0048] In summary, the online monitoring method for material transportation of the adsorption regeneration system of the embodiment of the present invention realizes real-time monitoring of the sealing status of the chain and box of the chain bucket conveyor by installing an online flaw detection device inside the chain bucket conveyor and establishing a vacuum negative pressure dust extraction system, thereby effectively preventing and solving the problems of chain breakage and powder leakage from the box. BRIEF DESCRIPTION OF THE DRAWINGS

[0049] Figure 1 Schematic diagram of a chain bucket machine according to an embodiment of the present invention.

[0050] Reference numerals:

[0051] 1-chain bucket machine, 11-lower curved section, 12-lower horizontal section, 13-vertical middle section, 14-upper curved section, 15-upper horizontal section, 16-machine head, 17-machine tail, 18-chain bucket driving part, 101-feeding port, 102-discharging port, 103-dust suction port. DETAILED DESCRIPTION

[0052] Embodiments of the present invention are described in detail below, and examples of the embodiments are shown in the accompanying drawings. The embodiments described below with reference to the accompanying drawings are exemplary and intended to be used to explain the present invention, but should not be understood as limiting the present invention.

[0053] The following describes the on-line monitoring method for material transportation of an adsorption regeneration system according to an embodiment of the present invention in conjunction with the accompanying drawings.

[0054] like Figure 1 As shown, the chain bucket machine 1 for transporting materials in the adsorption regeneration system of an embodiment of the present invention comprises a head 16, an upper horizontal section 15, an upper curved section 14, a vertical middle section 13, a lower curved section 11, a lower horizontal section 12 and a tail 17 connected in sequence, and a chain bucket driving member 18 for driving the chain bucket machine 1. The chain bucket machine 1 is provided with a feed port 101, a discharge port and a dust suction port 103.

[0055] The chains at the vertical and horizontal weighing positions of the chain bucket machine 1 are prone to wear, and dust is easily accumulated at the turning points of the lower curved section 11 and the lower horizontal section 12 inside the chain bucket machine 1, so a dust suction port 103 is provided at these locations.

[0056] The method for online monitoring of material transportation in an adsorption regeneration system according to an embodiment of the present invention comprises:

[0057] An online flaw detection device is installed at the vertical and horizontal load-bearing positions of the chain bucket conveyor 1 box.

[0058] The wear thickness of key parts of the chain inside the chain bucket machine 1 (such as chain links, chain pins, etc.) is monitored in real time by using an online flaw detection device to evaluate the wear degree of the chain and record the monitoring data.

[0059] Calculate the average wear thickness T of the chain wear , satisfying the relationship:

[0060]

[0061] Among them, w i is the chain wear thickness monitored for the i-th time, and N is the number of monitoring times.

[0062] According to the average wear thickness T of the chain wear , calculate the average wear rate R of the chain rate , satisfying the relationship:

[0063]

[0064] The maximum allowable wear thickness T of a given chain max , according to the current chain wear thickness T current , calculate the estimated remaining time t before reaching the maximum allowable wear thickness replace , satisfying the relationship:

[0065]

[0066] According to the remaining time t replace Provide early warning and replace the worn chain.

[0067] It can be understood that through real-time monitoring and calculation, the wear trend of the chain can be predicted and preventive maintenance can be achieved. This means that the chain can be replaced in advance before the performance of the chain deteriorates to the point where it affects the normal operation of the equipment, reducing unexpected downtime. By replacing the worn chain in time, chain breakage or damage caused by excessive wear can be avoided, thereby extending the overall service life of the chain bucket 1. The predicted replacement time can optimize the maintenance plan and reduce the frequency of unnecessary replacement, thereby reducing maintenance costs.

[0068] Furthermore, the vibration data of the chain bucket machine 1 is monitored in real time, and the monitoring data is recorded.

[0069] Calculate the vibration root mean square value V rms , satisfying the relationship:

[0070]

[0071] Among them, v j is the vibration amplitude monitored for the jth time, and M is the number of monitoring times.

[0072] Set the vibration RMS value V rms The threshold V thres , when V rms Exceed V thres When the alarm is triggered, the chain bucket machine 1 is maintained and inspected.

[0073] That is, analyze the vibration signals generated when the chain is running. Abnormal vibration patterns may indicate that the chain is worn or damaged, so that the chain can be maintained in time.

[0074] In some embodiments, when an alarm is triggered, current vibration data and timestamp are recorded and compared with historical vibration data to evaluate the vibration change trend, and the chain replacement criteria are adjusted based on the vibration data analysis results.

[0075] It is understandable that the wear of the chain of the chain bucket 1 will directly affect its operating state, resulting in changes in vibration characteristics. Therefore, vibration data can be used as an indirect indicator for evaluating the wear state of the chain. The vibration data of the chain bucket 1 is collected and processed using methods such as spectrum analysis and time domain analysis to identify vibration patterns or characteristics related to chain wear.

[0076] The logical relationship between vibration data and chain replacement criteria is a feedback loop, i.e. the vibration data analysis results are used to adjust the chain replacement criteria, and the vibration data after chain replacement can be used to verify the effectiveness of the replacement criteria. As the chain bucket 1 operating time increases and the operating conditions change, the vibration data may change. Therefore, the chain replacement criteria also need to be dynamically adjusted to adapt to these changes.

[0077] Through the above logical relationship, the vibration data can be used as an effective means to monitor the wear state of the chain of the bucket chain machine 1, and the chain replacement standard can be adjusted in real time, thereby ensuring the safe and stable operation of the bucket chain machine 1.

[0078] In some embodiments, the online flaw detection device includes a fixing frame and an ultrasonic probe. The ultrasonic probe is installed at the vertical and horizontal load-bearing positions of the chain bucket machine 1 through the fixing frame, and the ultrasonic probe is aimed at the chain of the chain bucket machine 1.

[0079] The ultrasonic probe uses ultrasonic technology to detect chain wear and cracks. According to the design and operation characteristics of the chain bucket machine 1, the best installation position of the detection device is determined, and the detection device is firmly installed on the chain bucket machine 1 using appropriate fixing methods (such as screws, clamps, brackets, etc.).

[0080] Furthermore, after the ultrasonic probe is installed, the ultrasonic probe is calibrated to ensure that it can accurately detect the wear state of the chain. During the operation of the chain bucket machine 1, the ultrasonic probe is tested to verify its detection effect and reliability. The ultrasonic probe is regularly inspected and maintained to ensure its long-term stable operation.

[0081] In some embodiments, vibration sensors are installed at key supporting points of the paternoster 1, and the vibration sensors are used to monitor vibration data of the paternoster 1 in real time.

[0082] Optionally, the vibration sensor should be installed at the key support points of the chain bucket machine 1, such as near the chain tensioning device, which can capture the vibration caused by chain wear and tension change, or at the sprocket bearing, the rotation of the sprocket will generate vibration, the sensor can monitor the working condition of the bearing and the wear of the chain, or at the key part of the box structure, the vibration of the box can reflect the operating status of the entire chain bucket machine 1.

[0083] It is understandable that the accuracy of the detection position can be determined by analyzing the correlation of the vibration data. If the vibration sensor installation position can effectively reflect the correlation between chain wear and the operating state of the chain bucket 1, it is considered that the detection accuracy of this position is high. The accuracy of the detection position can also be verified by comparing with the vibration data of other positions of the chain bucket 1, or by comparing with a chain with a known wear state.

[0084] The method for online monitoring of material transportation in the adsorption regeneration system according to the embodiment of the present invention further includes:

[0085] Monitor the carbon powder concentration inside the chain bucket 1 box and calculate the average carbon powder concentration C dust , satisfying the relationship:

[0086]

[0087] where c k is the carbon powder concentration monitored for the kth time, and K is the number of monitoring times.

[0088] Set the vibration RMS value C dust The threshold C thres , when C dust More than C thres When the carbon powder concentration inside the chain bucket machine 1 is adjusted, the problem of environmental pollution caused by carbon powder leakage due to excessive concentration is reduced.

[0089] Optionally, a dust removal fan is installed on the chain bucket machine 1, the inlet pipe of the dust removal fan is connected to the dust suction port 103 of the chain bucket machine 1, and the outlet pipe of the dust removal fan is connected to the front-end device of the adsorption regeneration system, so as to reduce the concentration of carbon powder in the box. In addition, the dust removal fan is used to establish a negative pressure environment inside the chain bucket machine 1.

[0090] Therefore, by establishing a negative pressure environment, the inevitable toner can flow as required inside the box under the negative pressure environment, reducing the phenomenon of toner leakage.

[0091] For example, the sucked carbon powder can be transported to a special carbon powder collection unit, which is usually designed with a filtration system to separate carbon powder and air and collect pure carbon powder. Alternatively, it can be sent back to the adsorption tower or filling silo to be reused as adsorbent. These silos are usually designed with evenly distributed filling layers to ensure that the adsorbent can effectively contact the gas to be treated.

[0092] The on-line monitoring method for material transportation of the adsorption regeneration system according to the embodiment of the present invention further includes processing abnormal values ​​of the monitoring data.

[0093] The monitoring data during the operation of the chain bucket machine 1 are collected, including but not limited to chain wear thickness, vibration amplitude and carbon powder concentration.

[0094] Calculate the statistical indicators of the monitoring data and identify the outliers Z i , satisfying the relationship:

[0095]

[0096] Among them, x i is the ith monitoring data point, μ is the mean of the monitoring data, and σ is the standard deviation of the monitoring data.

[0097] Determine the outlier threshold, for example, set |Z i ∣>3 is the identification standard for outliers.

[0098] Mark all data points that meet the outlier threshold as outliers.

[0099] Calculate the impact of outliers on the overall monitoring data, n is the total number of monitoring data, and satisfies the relationship:

[0100]

[0101] If the impact exceeds the preset impact threshold thres , then exclude all data points marked as outliers from the monitoring data. Reanalyze the remaining monitoring data to determine new statistical indicators. Update the outlier threshold of the monitoring data based on the new statistical indicators and the data set after outliers are excluded.

[0102] If the impact does not exceed the preset impact threshold thres , the current data set is retained without outlier elimination.

[0103] The monitoring data after excluding abnormal values ​​is used for fault diagnosis and maintenance decision of the chain bucket machine 1.

[0104] Furthermore, in the process of outlier exclusion, the impact of outliers on the distribution of monitoring data is calculated. Skewness is the skewness of monitoring data, which is used to evaluate the symmetry of data distribution and satisfies the relationship:

[0105]

[0106] According to the skewness and the preset skewness threshold Skewness thres , adjust the outlier exclusion strategy.

[0107] If Skewness does not exceed Skewness thres , then re-evaluate the outlier threshold.

[0108] Therefore, by eliminating abnormal values ​​in the monitoring data, the accuracy of the monitoring data can be improved, and it is helpful to diagnose the equipment status and formulate maintenance plans more accurately.

[0109] In summary, the online monitoring method for material transportation of the adsorption regeneration system of the embodiment of the present invention realizes real-time monitoring of the sealing status of the chain and box of the chain bucket conveyor 1 by installing an online flaw detection device inside the chain bucket conveyor 1 and establishing a vacuum negative pressure dust extraction system, thereby effectively preventing and solving the problems of chain breakage and powder leakage from the box.

[0110] In the description of the present invention, it is to be understood that the terms “center”, “longitudinal”, “lateral”, “length”, “width”, “thickness”, “up”, “down”, “front”, “back”, “left”, “right”, “vertical”, “horizontal”, “top”, “bottom”, “inside”, “outside”, “clockwise”, “counterclockwise”, “axial”, “radial”, “circumferential”, etc., indicating orientations or positional relationships based on the orientations or positional relationships shown in the accompanying drawings, are only for the convenience of describing the present invention and simplifying the description, and do not indicate or imply that the referred device or element must have a specific orientation, be constructed and operated in a specific orientation, and therefore should not be understood as limiting the present invention.

[0111] In addition, the terms "first" and "second" are used for descriptive purposes only and should not be understood as indicating or implying relative importance or implicitly indicating the number of the indicated technical features. Therefore, the features defined as "first" and "second" may explicitly or implicitly include at least one of the features. In the description of the present invention, the meaning of "plurality" is at least two, such as two, three, etc., unless otherwise clearly and specifically defined.

[0112] In the present invention, unless otherwise clearly specified and limited, the terms "installed", "connected", "connected", "fixed" and the like should be understood in a broad sense, for example, it can be a fixed connection, a detachable connection, or an integral one; it can be a mechanical connection, an electrical connection, or communication with each other; it can be a direct connection, or an indirect connection through an intermediate medium, it can be the internal connection of two elements or the interaction relationship between two elements, unless otherwise clearly defined. For ordinary technicians in this field, the specific meanings of the above terms in the present invention can be understood according to specific circumstances.

[0113] In the present invention, unless otherwise clearly specified and limited, a first feature being "above" or "below" a second feature may mean that the first and second features are in direct contact, or the first and second features are in indirect contact through an intermediate medium. Moreover, a first feature being "above", "above" or "above" a second feature may mean that the first feature is directly above or obliquely above the second feature, or simply means that the first feature is higher in level than the second feature. A first feature being "below", "below" or "below" a second feature may mean that the first feature is directly below or obliquely below the second feature, or simply means that the first feature is lower in level than the second feature.

[0114] In the present invention, the terms "one embodiment", "some embodiments", "examples", "specific examples", or "some examples" etc. mean that the specific features, structures, materials or characteristics described in conjunction with the embodiment or example are included in at least one embodiment or example of the present invention. In this specification, the schematic representations of the above terms do not necessarily refer to the same embodiment or example. Moreover, the described specific features, structures, materials or characteristics may be combined in any one or more embodiments or examples in a suitable manner. In addition, those skilled in the art may combine and combine the different embodiments or examples described in this specification and the features of the different embodiments or examples, without contradiction.

[0115] Although the above embodiments have been shown and described, it is to be understood that the above embodiments are exemplary and are not to be construed as limitations on the present invention. Changes, modifications, substitutions and variations of the above embodiments by those of ordinary skill in the art are all within the scope of protection of the present invention.

Claims

1. A method for online monitoring of material transportation in an adsorption regeneration system, characterized in that: include: Install online flaw detection devices at the vertical and horizontal load-bearing positions of the chain bucket conveyor casing; Use the online flaw detection device to monitor the wear thickness of the chain inside the chain bucket in real time and record the monitoring data; Calculate the average wear thickness T of the chain wear , satisfying the relationship: Among them, w i is the chain wear thickness monitored for the i-th time, and N is the number of monitoring times; According to the average wear thickness T of the chain wear , calculate the average wear rate R of the chain rate , satisfying the relationship: The maximum allowable wear thickness T of a given chain max , according to the current chain wear thickness T current , calculate the estimated remaining time t before reaching the maximum allowable wear thickness replace , satisfying the relationship: According to the remaining time t replace Provide early warning and replace the worn chain.

2. The method for online monitoring of material transportation in an adsorption regeneration system according to claim 1, characterized in that: Also includes: Monitor the vibration data of the chain bucket conveyor in real time and record the monitoring data; Calculate the vibration root mean square value V rms , satisfying the relationship: Among them, v j is the vibration amplitude monitored for the jth time, and M is the number of monitoring times; Set the vibration RMS value V rms The threshold V thres , when V rms Exceed V thres When the alarm is triggered, the chain bucket conveyor is to be maintained and inspected.

3. The method for online monitoring of material transportation in an adsorption regeneration system according to claim 2, characterized in that: When an alarm is triggered, the current vibration data and timestamp are recorded and compared with the historical vibration data to evaluate the vibration change trend. Based on the vibration data analysis results, the chain replacement criteria are adjusted.

4. The method for online monitoring of material transportation in an adsorption regeneration system according to claim 2, characterized in that: The online flaw detection device comprises a fixing frame and an ultrasonic probe. The ultrasonic probe is installed at the vertical and horizontal load-bearing positions of the chain bucket machine box through the fixing frame, and the ultrasonic probe is aimed at the chain of the chain bucket machine.

5. The method for online monitoring of material transportation in an adsorption regeneration system according to claim 4, characterized in that: After the ultrasonic probe is installed, calibrate it, start the chain conveyor, and test the ultrasonic probe.

6. The method for online monitoring of material transportation in an adsorption regeneration system according to claim 2, characterized in that: Vibration sensors are installed at key supporting points of the chain bucket conveyor, and the vibration data of the chain bucket conveyor is monitored in real time using the vibration sensors.

7. The method for online monitoring of material transportation in an adsorption regeneration system according to any one of claims 2 to 6, characterized in that: Also includes: Monitor the carbon powder concentration inside the chain bucket box and calculate the average carbon powder concentration C dust , satisfying the relationship: where c k is the carbon powder concentration monitored for the kth time, K is the number of monitoring times; Set the vibration RMS value C dust The threshold C thres , when C dust More than C thres When adjusting the carbon powder concentration inside the chain bucket conveyor housing.

8. The method for online monitoring of material transportation in an adsorption regeneration system according to claim 7, characterized in that: A dust removal fan is installed on the chain bucket conveyor, the inlet pipe of the dust removal fan is connected to the dust suction port of the chain bucket conveyor, the outlet pipe of the dust removal fan is connected to the front-end equipment of the adsorption regeneration system, and the dust removal fan is used to establish a negative pressure environment inside the chain bucket conveyor casing.

9. The method for online monitoring of material transportation in an adsorption regeneration system according to claim 7, characterized in that: Collect monitoring data during the operation of the chain bucket conveyor, including but not limited to chain wear thickness, vibration amplitude and carbon powder concentration; Calculate the statistical indicators of the monitoring data and identify the outliers Z i , satisfying the relationship: Among them, x i is the i-th monitoring data point, μ is the mean of the monitoring data, and σ is the standard deviation of the monitoring data; Determine the outlier threshold and mark all data points that meet the outlier threshold as outliers; Calculate the impact of outliers on the overall monitoring data, n is the total number of monitoring data, and satisfies the relationship: If the impact exceeds the preset impact threshold thres , then exclude all data points marked as outliers from the monitoring data, re-analyze the remaining monitoring data to determine new statistical indicators, and update the outlier threshold of the monitoring data based on the new statistical indicators and the data set after outliers are excluded; If the impact does not exceed the preset impact threshold thres , then keep the current data set without eliminating outliers; The monitoring data after excluding outliers are used for fault diagnosis and maintenance decision-making of chain bucket crane.

10. The method for online monitoring of material transportation in an adsorption regeneration system according to claim 8, characterized in that: In the process of outlier exclusion, the influence of outliers on the distribution of monitoring data is calculated to satisfy the relationship: According to the skewness and the preset skewness threshold Skewness thres , adjust the outlier exclusion strategy; If Skewness does not exceed Skewness thres , then re-evaluate the outlier threshold.

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