A centrifuge state online monitoring method and system

Abstract

The present application relates to the technical field of data processing, and especially relates to a centrifuge state online monitoring method and system. The method comprises the following steps: collecting vibration data, temperature data and coal dehydration particle size data, obtaining the mutation degree of vibration data of each vibration sensor of a screen basket feed inlet and a discharge outlet at each time, obtaining a vibration abnormality score in a screen basket running process based on the mutation degree of the vibration data, obtaining a temperature abnormality degree at each time in the screen basket running process, obtaining a temperature abnormality score in the screen basket running process based on the temperature abnormality degree, obtaining a particle size abnormality score in the screen basket running process, obtaining an abnormality degree of the screen basket running according to the particle size abnormality score, the temperature abnormality score and the vibration abnormality score in the screen basket running process, and judging an abnormal running state of the screen basket according to the abnormality degree. The present application improves the accuracy of centrifuge screen basket running state detection.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of data processing, and in particular to a centrifuge state online monitoring method and system. BACKGROUND

[0002] The coal industry is an important part of the energy structure, and the dewatering treatment of fine coal slime is a key link in the coal processing process. The horizontal high-speed scraper discharge centrifuge performs well in the dewatering treatment of fine coal slime, and the screen basket is one of the key components of the horizontal high-speed scraper discharge centrifuge, mainly used for dewatering treatment of fine coal slime. In the process of high-speed rotation of the centrifuge, the screen basket separates the water in the coal slime by centrifugal force, thereby realizing solid-liquid separation; but in the dewatering process, due to the continuous contact and friction of solid materials with the screen basket, the wear of the screen basket is inevitable. The state of the screen basket directly affects the dewatering effect of the centrifuge and the running stability of the equipment. Therefore, in order to ensure the normal operation of the centrifuge and timely find potential problems, it is necessary to monitor the abnormal conditions of the running screen basket online to determine whether the screen basket needs to be replaced, so as to avoid centrifuge failure or dewatering effect decline caused by problems of the screen basket.

[0003] The traditional monitoring method monitors the running state of the screen basket by analyzing the multi-dimensional data collected by the screen basket in the running process of the centrifuge, but often cannot combine and analyze the multi-dimensional data, and often ignores the influence of the vibration conditions at different positions of the screen basket on abnormal conditions in the abnormal analysis of the vibration data of the screen basket, resulting in that the vibration data at a single position cannot reflect the overall vibration condition, and ignoring the influence of the temperature changes at different positions of the screen basket on abnormal conditions in the running of the screen basket, resulting in that the temperature data at a single position cannot reflect the local hot spots caused by uneven distribution and accumulation of coal, and further leading to inaccurate abnormal monitoring of the state of the centrifuge. SUMMARY

[0004] In order to solve the technical problems that the influence of the vibration conditions at different positions of the screen basket on abnormal conditions and the influence of the temperature changes at different positions of the screen basket on abnormal conditions are often ignored in the abnormal condition analysis of the screen basket, the present application provides a centrifuge state online monitoring method and system.

[0005] In the first aspect, the present application provides a centrifuge state online monitoring method, which adopts the following technical scheme:

[0006] A centrifuge state online monitoring method, comprising the steps of:

[0007] Collect vibration data, temperature data and coal dehydration particle size data; according to the distribution of vibration data of all vibration sensors at the feed inlet and discharge outlet of the screen basket at each time, obtain the mutation degree of vibration data of each vibration sensor at the feed inlet and discharge outlet of the screen basket at each time; based on the mutation degree of vibration data, obtain the vibration abnormality score in the running process of the screen basket;

[0008] According to the temperature data of all positions inside the screen basket at each time, obtain the temperature non-uniformity inside the screen basket at each time; according to the temperature non-uniformity and the difference between the feed temperature and the internal temperature of the screen basket at each time in the running process of the screen basket, obtain the temperature abnormality degree at each time in the running process of the screen basket; based on the temperature abnormality degree, obtain the temperature abnormality score in the running process of the screen basket;

[0009] Obtain the coal dehydration particle size deviation value of the screen basket discharge outlet at each time; according to the standard deviation and mean value of the coal dehydration particle size deviation value of all times of the screen basket discharge outlet, obtain the particle size abnormality score in the running process of the screen basket; according to the particle size abnormality score, the temperature abnormality score and the vibration abnormality score in the running process of the screen basket, obtain the abnormality degree of the screen basket running, and judge the abnormal running state of the screen basket.

[0010] The innovation of the present application is that firstly, vibration data at different positions of the screen basket is collected, and the mutation degree of vibration data of each vibration sensor at the feed inlet and discharge outlet of the screen basket at each time is obtained according to the distribution of vibration data at different positions, and then the vibration abnormality score in the running process of the screen basket is obtained according to the mutation degree, which considers the influence of vibration at different positions of the screen basket on abnormality, so that the vibration abnormality score reflects the overall vibration condition, then temperature data at different positions inside the screen basket is collected, and the temperature abnormality degree at each time in the running process of the screen basket is obtained by analyzing the non-uniformity of temperature data distribution, which considers the influence of temperature change at different positions of the screen basket on abnormality during running, and can reflect local hot spots caused by uneven distribution and accumulation of coal; then the particle size abnormality score in the running process of the screen basket is obtained, and finally the abnormality degree of the screen basket running is judged in combination with the abnormality of multi-dimensional data, which improves the accuracy of abnormality judgment of the screen basket.

[0011] Preferably, the mutation degree of vibration data of each vibration sensor at the feed inlet and discharge outlet of the screen basket at each time comprises:

[0012] The mutation degree of vibration data of the i-th vibration sensor at the feed inlet of the screen basket at the t-th time; and ​The amplitude of the vibration data of the ith vibration sensor representing the feed inlet of the screen basket at the tth moment and the t-3th moment; || represents the absolute value symbol; norm() represents the normalization function; The maximum value of the amplitude of the vibration data of the ith vibration sensor representing the feed inlet of the screen basket at all moments; The amplitude of the vibration data of the wth vibration sensor representing the feed inlet of the screen basket at the tth moment; n represents the number of vibration sensors of the feed inlet of the screen basket; according to The acquisition method of the degree of mutation of the vibration data of each sensor of the discharge outlet of the screen basket at each moment.

[0013] The greater the degree of mutation, the more abnormal the vibration data.

[0014] Preferably, the vibration abnormality score during the operation of the screen basket comprises:

[0015] ;

[0016] In the formula, The vibration abnormality score during the operation of the screen basket; The average value of the degree of mutation of the vibration data of the ith vibration sensor representing the feed inlet of the screen basket at all moments; The average value of the degree of mutation of the vibration data of the ith vibration sensor representing the discharge outlet of the screen basket at all moments; n represents the number of vibration sensors of the feed inlet of the screen basket.

[0017] The vibration situation at different positions of the screen basket is considered to affect the abnormal situation, so that the vibration abnormality score during the operation of the screen basket is more accurate.

[0018] Preferably, the temperature non-uniformity of the screen basket at each moment comprises:

[0019] The difference between the maximum value and the minimum value of the temperature data of all positions in the screen basket at the tth moment is recorded as the temperature non-uniformity of the screen basket at the tth moment.

[0020] Preferably, the temperature abnormality degree of the screen basket at each moment during the operation of the screen basket comprises:

[0021] The absolute value of the difference between the value of the feed temperature data at the tth moment at the feed inlet of the screen basket and the average value of the temperature data of all positions in the screen basket at the tth moment is recorded as the difference between the feed temperature and the internal temperature of the screen basket at the tth moment during the operation of the screen basket.

[0022] ; The temperature abnormality degree of the screen basket at the tth moment during the operation of the screen basket; a difference between the feed temperature and the internal temperature of the screen basket at the t-th moment during the operation of the screen basket; a maximum value in the differences between the feed temperature and the internal temperature of the screen basket at all moments during the operation of the screen basket; a temperature non-uniformity of the screen basket at the t-th moment; a maximum value in the temperature non-uniformities of the screen basket at all moments.

[0023] The temperature abnormality score during the operation of the screen basket is more accurate by considering the influence of temperature changes at different positions of the screen basket during the operation on abnormal conditions.

[0024] Preferably, the temperature abnormality score during the operation of the screen basket is obtained by:

[0025] The mean value of the temperature abnormality degree at all moments during the operation of the screen basket is denoted as the temperature abnormality score during the operation of the screen basket.

[0026] Preferably, the coal dehydration particle size deviation value of the screen basket discharge port at each moment is obtained by:

[0027] The difference between the coal dehydration particle size data of the screen basket discharge port at each moment and the target coal dehydration particle size data is denoted as the coal dehydration particle size deviation value of the screen basket discharge port at each moment.

[0028] Preferably, the particle size abnormality score during the operation of the screen basket is obtained by:

[0029] ;

[0030] In the formula, the particle size abnormality score during the operation of the screen basket; a standard deviation of the coal dehydration particle size deviation values of the screen basket discharge port at all moments; a mean value of the coal dehydration particle size deviation values of the screen basket discharge port at all moments; and norm() represents a normalization function.

[0031] Preferably, the abnormality degree of the operation of the screen basket is obtained, and the abnormal operation state of the screen basket is determined by:

[0032] The sum of the vibration abnormality score during the operation of the screen basket, the temperature abnormality score during the operation of the screen basket, and the particle size abnormality score during the operation of the screen basket is taken as the abnormality degree of the operation of the screen basket.

[0033] An abnormality degree threshold T1 is preset, and if the abnormality degree of the operation of the screen basket is greater than the abnormality degree threshold, the centrifugal machine is stopped and the screen basket is replaced.

[0034] The accuracy of the abnormality judgment of the operation of the screen basket is improved.

[0035] In a second aspect, the present application provides a centrifuge state online monitoring system, which adopts the following technical scheme:

[0036] A centrifuge state online monitoring system comprises a processor and a memory, and the memory stores computer program instructions, which realize the above-mentioned centrifuge state online monitoring method when executed by the processor.

[0037] By adopting the above technical scheme, the above-mentioned centrifuge state online monitoring method is generated into a computer program and stored in the memory to be loaded and executed by the processor, so that a terminal device is made according to the memory and the processor, and use is facilitated.

[0038] The present application has the following technical effects: The present application aims to consider the influence of vibration conditions at different positions of the screen basket on abnormal conditions, obtain a vibration abnormality score in the running process of the screen basket, make the vibration abnormality score reflect the overall vibration condition, then consider the influence of temperature changes at different positions of the screen basket in the running process on abnormal conditions, obtain a temperature abnormality score in the running process of the screen basket, which can reflect local hot spots caused by uneven distribution and accumulation of coal; then obtain a particle size abnormality score in the running process of the screen basket, and finally judge the abnormality degree of the running of the screen basket in combination with the abnormal conditions of multi-dimensional data, thereby improving the accuracy of abnormality judgment of the screen basket. BRIEF DESCRIPTION OF DRAWINGS

[0039] The above and other objects, features and advantages of the exemplary embodiments of the present application will be more apparent from the following detailed description taken in conjunction with the accompanying drawings, in which several embodiments of the present application are shown by way of example, and wherein like reference numerals refer to like elements throughout. The drawings are not necessarily to scale, emphasis instead being placed upon illustrating the principles of the present application.

[0040] Figure 1 is a method flowchart in a centrifuge state online monitoring method of an embodiment of the present application. DETAILED DESCRIPTION

[0041] The technical solutions in the embodiments of the present application will be apparently and completely described below with reference to the drawings in the embodiments of the present application. Obviously, the described embodiments are part of the embodiments of the present application, rather than all the embodiments of the present application.

[0042] An embodiment of the present application discloses a centrifuge state online monitoring method, referring to Figure 1 , comprising steps S1-S4:

[0043] S1: collecting vibration data, temperature data and coal dehydration particle size data.

[0044] In the embodiment of the present application, the preset sampling time length is half an hour, the sampling time frequency is 1 second / time, one vibration sensor is installed at each support frame of the screen basket feed inlet of the horizontal high-speed doctor blade discharge centrifuge, and the vibration data of each vibration sensor of the screen basket feed inlet at each time point is collected during the operation of the centrifuge; vibration sensors consistent in number with the screen basket feed inlet are installed at the support frames of the screen basket discharge outlet, and the vibration data of each vibration sensor of the screen basket discharge outlet at each time point is collected during the operation of the centrifuge;

[0045] A non-contact temperature sensor is installed at the screen basket feed inlet, and the feed temperature data at each time point at the screen basket feed inlet is collected during the operation of the centrifuge; a temperature sensor is installed on the centrifuge shell, and the shell temperature data at each time point during the operation of the centrifuge is collected; non-contact temperature sensors are installed at multiple positions of the contact surface between the screen basket and the material, and the temperature data of each position at each time point inside the screen basket is collected during the operation of the centrifuge;

[0046] A laser particle size analyzer is installed 30 cm below the screen basket discharge outlet, and the coal material dehydration particle size data of the screen basket discharge outlet at each time point is collected during the operation of the centrifuge.

[0047] S2: The mutation degree of the vibration data of each vibration sensor of the screen basket feed inlet and the discharge outlet at each time point is obtained, and the vibration abnormality score during the operation of the screen basket is obtained based on the mutation degree of the vibration data.

[0048] It should be noted that when the fixing bolts on the screen mesh are loose, the screen mesh is prone to shaking and displacement during vibration, which may cause friction between the screen mesh and the screen basket and accelerate the wear of the two; the loose fixing bolts on the screen mesh cause the screen mesh to shake and displace easily during vibration, so that the vibration amplitude generated during the operation of the screen basket is significantly increased; and when the coal material accumulates to cause uneven load of the screen mesh, the screen basket in the local area bears greater pressure and friction force, so that the wear rate of the screen basket is accelerated; and when the coal material accumulates on one side of the screen mesh, the vibration amplitude of the screen mesh on this side is smaller than that on the other side, so that the collected vibration data is asymmetrically distributed, therefore, the present application first obtains the mutation degree of the vibration data according to whether the amplitude of the collected vibration data is increased and the difference between the amplitudes of the vibration data collected by different vibration sensors at the same time point.

[0049] In the embodiment of the present application, the mutation degree of the vibration data of the i-th vibration sensor of the screen basket feed inlet at the t-th time point is:

[0050] ;

[0051] In the formula, The mutation degree of the vibration data of the i-th vibration sensor representing the feed inlet of the sieve basket at the t-th moment; The amplitude of the vibration data of the i-th vibration sensor representing the feed inlet of the sieve basket at the t-th moment; The amplitude of the vibration data of the i-th vibration sensor representing the feed inlet of the sieve basket at the t-3-th moment; the symbol || represents an absolute value symbol; The maximum value of the amplitude of the vibration data of the i-th vibration sensor representing the feed inlet of the sieve basket at all moments; The amplitude of the vibration data of the w-th vibration sensor representing the feed inlet of the sieve basket at the t-th moment; n represents the number of vibration sensors of the feed inlet of the sieve basket;

[0052] The average difference of the amplitude of the vibration data of the i-th vibration sensor representing the feed inlet of the sieve basket and other vibration sensors at the t-th moment, the greater the value, the more the coal in the sieve basket causes the amplitude of the vibration data to differ, resulting in asymmetric distribution of the vibration data collected by each vibration sensor, and the greater the mutation degree of the vibration data of the i-th vibration sensor representing the feed inlet of the sieve basket at the t-th moment;

[0053] The difference between the amplitude of the vibration data of the i-th vibration sensor representing the feed inlet of the sieve basket at the t-th moment and the t-3-th moment, the greater the value, the more the fixed bolt at the sieve screen is loose or the structure is fatigued, resulting in mutation of the vibration data, and the greater the mutation degree of the vibration data of the i-th vibration sensor representing the feed inlet of the sieve basket at the t-th moment.

[0054] Similarly, the mutation degree of the vibration data of each sensor of the sieve basket discharge outlet at each moment is obtained;

[0055] It should be noted that the greater the mutation degree of the vibration data, the more likely the fixed bolt on the sieve screen is loose and the coal is accumulated during the operation of the sieve basket, and the more abnormal vibration occurs during the operation of the sieve basket, so the average of the mutation degree of the vibration data of all moments of the single sensor of the sieve basket discharge outlet and the feed inlet is weighted and summed, and then averaged, so as to comprehensively quantify the abnormal vibration during the operation of the sieve basket.

[0056] In the embodiment of the present application, the vibration abnormality score during the operation of the sieve basket is:

[0057] ;

[0058] In the formula, The vibration abnormality score during the operation of the sieve basket; The average mutation degree of the vibration data of the i-th vibration sensor representing the feed inlet of the sieve basket at all moments; The average of the mutation degree of the vibration data of the i-th vibration sensor of the discharge port of the screen basket at all times; n represents the number of vibration sensors of the screen basket feed port, and the number of sensors placed at the feed port and the discharge port is consistent;

[0059] It should be noted that 0.4 and 0.6 are weight coefficients, and the screen basket is more susceptible to various factors near the discharge port, such as screen wear, loose fixing bolts, etc. When these problems occur, the vibration change near the discharge port is often more sensitive and significant, and therefore, a larger weight coefficient needs to be set for the average of the mutation degree of the vibration data of the i-th vibration sensor of the discharge port of the screen basket at all times.

[0060] S3: Obtain the temperature abnormality degree at each time during the operation of the screen basket, obtain the temperature abnormality score during the operation of the screen basket based on the temperature abnormality degree, and obtain the particle size abnormality score during the operation of the screen basket.

[0061] It should be noted that during the dehydration treatment of fine coal slurry by the screen basket, if the coal material is unevenly distributed and accumulated, it is easy to cause the screen basket to be blocked, so that the friction intensity between the coal material and the surface of the screen basket is significantly increased, further accelerating the wear of the screen basket. Since the screen basket is blocked, the coal material and the screen basket surface are frictionally heated, and the hot spots are uneven. Therefore, if the difference between the temperature data at different positions in the screen basket is large, it indicates that the frictional heating between the coal material in the screen basket and the screen basket surface causes the difference between the temperature data at different positions in the screen basket to be large, and the temperature during the operation of the screen basket is more abnormal. Since the difference between the temperature at the feed port of the screen basket and the temperature inside the screen basket should be within a reasonable range under normal operation of the screen basket, if the difference suddenly increases, it also means that the coal material in the screen basket is unevenly distributed, causing local frictional heating. Therefore, the greater the difference between the temperature at the feed port and the temperature inside the screen basket during the operation of the screen basket, the more abnormal the temperature during the operation of the screen basket.

[0062] In the embodiment of the present application, the absolute value of the difference between the value of the feed temperature data at the t-th time at the feed port of the screen basket and the average of the temperature data at all positions inside the screen basket at the t-th time is denoted as the difference between the feed temperature and the temperature inside the screen basket at the t-th time during the operation of the screen basket.

[0063] The difference between the maximum value and the minimum value of the temperature data at all positions inside the screen basket at the t-th time is denoted as the temperature non-uniformity of the screen basket at the t-th time.

[0064] The temperature abnormality degree at each time during the operation of the screen basket is obtained.

[0065] ;

[0066] In the formula, representing the temperature abnormality degree of the screen basket at the t-th moment in the running process of the screen basket; the difference between the feed temperature and the internal temperature of the screen basket at the t-th moment in the running process of the screen basket; representing the maximum value of the difference between the feed temperature and the internal temperature of the screen basket at all moments in the running process of the screen basket; representing the temperature non-uniformity of the screen basket at the t-th moment; representing the maximum value of the temperature non-uniformity of the screen basket at all moments;

[0067] The greater the value of the temperature abnormality degree of the screen basket at the t-th moment in the running process of the screen basket, the greater the heat generated by the friction between the coal and the surface of the screen basket due to the clogging of the screen basket, and the greater the temperature abnormality degree of the screen basket at the t-th moment in the running process of the screen basket. The greater the value of the temperature abnormality degree of the screen basket at the t-th moment in the running process of the screen basket, the greater the heat generated by the friction between the coal and the surface of the screen basket due to the clogging of the screen basket, and the greater the temperature abnormality degree of the screen basket at the t-th moment in the running process of the screen basket.

[0068] The average value of the temperature abnormality degree of the screen basket at all moments in the running process of the screen basket is denoted as the temperature abnormality score of the screen basket in the running process.

[0069] It should be noted that the screen basket is a key component in the centrifuge responsible for solid-liquid separation, and its wear and clogging will directly affect the dewatering particle size of the coal, so by monitoring the stability of the dewatering particle size data of the coal at each moment of the screen basket discharge port, the abnormal state of the screen basket can be indirectly evaluated.

[0070] In the embodiment of the present application, the preset target coal dewatering particle size data is 0.4 mm according to the query document; the absolute value of the difference between the coal dewatering particle size data at each moment of the screen basket discharge port and the target coal dewatering particle size data is denoted as the coal dewatering particle size deviation value at each moment of the screen basket discharge port.

[0071] In the embodiment of the present application, the particle size abnormality score in the running process of the screen basket is obtained:

[0072] ;

[0073] In the formula, representing the particle size abnormality score in the running process of the screen basket; representing the standard deviation of the coal dewatering particle size deviation value at all moments of the screen basket discharge port; representing the average value of the coal dewatering particle size deviation value at all moments of the screen basket discharge port; the greater the sum of the standard deviation and the average value of the coal dewatering particle size deviation value at all moments of the screen basket discharge port, the more unstable the coal dewatering particle size data at the screen basket discharge port, and thus the greater the particle size abnormality score in the running process of the screen basket.

[0074] S4: According to the particle size abnormal score, the temperature abnormal score and the vibration abnormal score in the operation process of the screen basket, the abnormal degree of the screen basket operation is obtained, and according to the abnormal degree, the abnormal operation state of the screen basket is judged.

[0075] It should be noted that the vibration abnormal score, the temperature abnormal score and the particle size abnormal score in the operation process of the screen basket need to be considered simultaneously, and the abnormal degree of the screen basket operation is obtained comprehensively.

[0076] In the embodiment of the application, the sum of the vibration abnormal score in the operation process of the screen basket, the temperature abnormal score in the operation process of the screen basket and the particle size abnormal score in the operation process of the screen basket is taken as the abnormal degree of the screen basket operation.

[0077] The preset abnormal degree threshold T1 is 0.7, and in other embodiments, the implementer can preset the abnormal degree threshold according to the specific implementation condition, if the abnormal degree of the screen basket operation is greater than the abnormal degree threshold, it is considered that the operation of the screen basket is abnormal, then the centrifuge needs to be stopped and the screen basket needs to be replaced.

[0078] The embodiment of the application further discloses a centrifuge state online monitoring system, comprising a processor and a memory, the memory stores computer program instructions, when the computer program instructions are executed by the processor, the centrifuge state online monitoring method according to the application is realized.

Claims

1. A centrifuge status online monitoring method, characterized in that: Including steps: Collect vibration data, temperature data, and coal dehydration particle size data; obtain the degree of mutation of vibration data of each vibration sensor at the screen basket feed inlet and discharge port at each moment based on the distribution of vibration data of all vibration sensors at the screen basket feed inlet and discharge port at each moment; Obtaining a vibration anomaly score during the operation of the screen basket based on the degree of mutation of the vibration data; The step of obtaining the vibration anomaly score during the operation of the screen basket includes: ； Where, Represents the vibration abnormality score during the operation of the screen basket; Represents the average value of the mutation degree of the vibration data of the i-th vibration sensor at the screen basket feed port at all times; represents the average value of the mutation degree of the vibration data of the ith vibration sensor at the screen basket discharge port at all times; n represents the number of vibration sensors at the screen basket feed port; 0.4 and 0.6 are weight coefficients. The screen basket is more susceptible to various factors near the discharge port, and the vibration changes near the discharge port are more sensitive and significant. Therefore, a larger weight coefficient is set for the average value of the mutation degree of the vibration data of the ith vibration sensor at the screen basket discharge port at all times; According to the temperature data of all positions at each moment in the screen basket, the temperature nonuniformity of the screen basket at each moment is obtained; according to the temperature nonuniformity and the difference between the feed temperature and the temperature inside the screen basket at each moment in the screen basket operation process, the temperature anomaly degree at each moment in the screen basket operation process is obtained; based on the temperature anomaly degree, the temperature anomaly score of the screen basket operation process is obtained; the difference between the maximum and minimum values ​​of the temperature data of all positions at the screen basket at the tth moment is recorded as the temperature nonuniformity of the screen basket at the tth moment; Obtain the coal dehydration particle size deviation value at each moment of the screen basket discharge port; obtain the particle size anomaly score during the screen basket operation process based on the standard deviation and mean of the coal dehydration particle size deviation value at all moments of the screen basket discharge port; obtain the abnormal degree of the screen basket operation based on the particle size anomaly score, temperature anomaly score, and vibration anomaly score during the screen basket operation process, and judge the abnormal operation status of the screen basket, including: The sum of the vibration abnormality score, the temperature abnormality score and the particle size abnormality score during the operation of the screen basket is taken as the abnormality degree of the screen basket operation; A threshold value T1 of abnormality is preset. If the abnormality of the screen basket operation is greater than the threshold value, the centrifuge is shut down and the screen basket is replaced.

2. The method for online monitoring of centrifuge status according to claim 1, characterized in that: The method of obtaining the mutation degree of vibration data of each vibration sensor at the screen basket feed port and the screen basket discharge port at each moment includes: , Represents the degree of mutation of the vibration data of the ith vibration sensor at the screen basket feed port at time t; as well as represents the amplitude of the vibration data of the i-th vibration sensor at the screen basket feed port at time t and time t-3; || represents the absolute value symbol; norm() represents the normalization function; Represents the maximum value of the amplitude of the vibration data of the i-th vibration sensor at the screen basket feed port at all times; represents the amplitude of the vibration data of the wth vibration sensor at the screen basket feed port at the tth moment; n represents the number of vibration sensors at the screen basket feed port; according to The acquisition method is used to obtain the degree of mutation of the vibration data of each sensor at the screen basket discharge port at each moment.

3. The method for online monitoring of centrifuge status according to claim 1, characterized in that: The step of obtaining the abnormal temperature level at each moment during the operation of the screen basket includes: The absolute value of the difference between the feed temperature data at the feed port of the screen basket at the tth moment and the mean of the temperature data at all positions inside the screen basket at the tth moment is recorded as the difference between the feed temperature and the internal temperature of the screen basket at the tth moment during the operation of the screen basket; ; Represents the degree of temperature anomaly at time t during the operation of the screen basket; The difference between the feed temperature and the internal temperature of the screen basket at time t during the operation of the screen basket; Represents the maximum value of the difference between the feed temperature and the internal temperature of the screen basket at all times during the operation of the screen basket; Represents the temperature non-uniformity inside the sieve basket at time t; Represents the maximum value of temperature nonuniformity inside the sieve basket at all times.

4. The method for online monitoring of centrifuge status according to claim 1, characterized in that: The step of obtaining the temperature anomaly score during the operation of the screen basket includes: The average value of the temperature anomaly degree at all times during the operation of the screen basket is recorded as the temperature anomaly score during the operation of the screen basket.

5. The method for online monitoring of centrifuge status according to claim 1, characterized in that: The step of obtaining the coal dehydration particle size deviation value at each moment of the screen basket discharge port includes: The target coal dehydration particle size data is preset, and the absolute value of the difference between the coal dehydration particle size data at each moment of the screen basket outlet and the target coal dehydration particle size data is recorded as the coal dehydration particle size deviation value at each moment of the screen basket outlet.

6. The method for online monitoring of centrifuge status according to claim 1, characterized in that: The step of obtaining the abnormal particle size score during the operation of the screen basket includes: ； Where, Represents the abnormal particle size fraction during the operation of the screen basket; Represents the standard deviation of the coal dehydrated particle size deviation value at the screen basket outlet at all times; represents the mean of the coal dehydration particle size deviation values ​​at all times at the screen basket outlet; norm() represents the normalization function.

7. A centrifuge status online monitoring system, characterized in that: include: A processor and a memory, wherein the memory stores computer program instructions, and when the computer program instructions are executed by the processor, a centrifuge state online monitoring method according to any one of claims 1 to 6 is implemented.

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