Centrifugal machine state on-line monitoring method and system

Abstract

The invention relates to the technical field of data processing, in particular to a centrifugal machine state online monitoring method and system. The method comprises the steps of collecting vibration data, temperature data and coal dehydration granularity data, obtaining the abrupt change degree of the vibration data of each vibration sensor at a feeding port and a discharging port of a screen basket at each moment, obtaining the vibration abnormity score in the operation process of the screen basket based on the abrupt change degree of the vibration data, and calculating the coal dehydration granularity according to the vibration abnormity score. Obtaining the temperature anomaly degree at each moment in the operation process of the screen basket, and obtaining the temperature anomaly score in the operation process of the screen basket based on the temperature anomaly degree; the particle size abnormal score in the operation process of the screen basket is obtained, the abnormal degree of operation of the screen basket is obtained 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 operation state of the screen basket is judged according to the abnormal degree, and the accuracy of detection of the operation state of the screen basket of the centrifugal machine is improved.

Description

Technical Field

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

[0002] The coal industry is an important component of the energy structure, and the dehydration of fine coal slime is a key step in the coal processing process. Horizontal high-speed scraper centrifuges perform exceptionally well in this area, and the screen basket, one of the key components in these centrifuges, is primarily used for dehydrating fine coal slime. During high-speed rotation, the screen basket uses centrifugal force to remove water from the coal slime, thereby achieving solid-liquid separation. However, during the dehydration process, wear of the screen basket is inevitable due to the continuous contact and friction between the solid material and the screen basket. The condition of the screen basket directly affects the dehydration efficiency of the centrifuge and the operational stability of the equipment. Therefore, to ensure the normal operation of the centrifuge and promptly detect potential problems, it is necessary to conduct online monitoring of abnormal conditions in the operating screen basket to determine whether the screen basket needs to be replaced, thereby avoiding centrifuge failure or decreased dehydration efficiency due to problems with the screen basket.

[0003] Traditional monitoring methods monitor the operating status of the screen basket by performing anomaly analysis on the multi-dimensional data collected during the operation of the screen basket inside the centrifuge. However, it is often impossible to combine the multi-dimensional data for analysis, and when analyzing the anomaly of the vibration data of the screen basket, the influence of the vibration conditions at different positions of the screen basket on the anomaly is often ignored, resulting in the vibration data at a single position being unable to reflect the overall vibration condition. In addition, the influence of temperature changes at different positions of the screen basket during operation on the anomaly is ignored, resulting in the temperature data at a single position being unable to reflect the local hot spots caused by uneven distribution and accumulation of coal, which in turn leads to inaccurate monitoring of the anomaly of the centrifuge status. Summary of the Invention

[0004] In order to solve the technical problem that when analyzing the abnormal situation of the screen basket, the influence of the vibration conditions at different positions of the screen basket on the abnormal situation and the influence of the temperature changes at different positions of the screen basket during operation on the abnormal situation are often ignored, the present invention provides a centrifuge status online monitoring method and system.

[0005] In a first aspect, the present invention provides a method for online monitoring of centrifuge status, which adopts the following technical solution: A centrifuge status online monitoring method comprises the following steps: Collect vibration data, temperature data, and coal dehydration particle size data; obtain the degree of sudden change in vibration data of each vibration sensor at the screen basket inlet and outlet at each moment based on the distribution of vibration data of all vibration sensors at the screen basket inlet and outlet at each moment; obtain the vibration anomaly score during the operation of the screen basket based on the degree of sudden change in vibration data; Obtain the temperature nonuniformity of the screen basket at each moment based on the temperature data of all positions inside the screen basket at each moment; obtain the degree of temperature anomaly at each moment during the operation of the screen basket based on the temperature nonuniformity and the difference between the feed temperature and the temperature inside the screen basket at each moment during the operation of the screen basket; obtain the temperature anomaly score during the operation of the screen basket based on the temperature anomaly degree; 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 values ​​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.

[0006] The innovation of the present invention lies in first collecting vibration data at different positions of the screen basket, and obtaining the degree of mutation of vibration data of each vibration sensor at the screen basket feed port and discharge port at each moment according to the distribution of vibration data at different positions, and then obtaining the vibration anomaly score during the operation of the screen basket according to the degree of mutation, taking into account the influence of vibration conditions at different positions of the screen basket on abnormal conditions, so that the vibration anomaly score reflects the overall vibration condition, and then collecting temperature data at different positions inside the screen basket, and obtaining the degree of temperature anomaly at each moment during the operation of the screen basket by analyzing the uneven distribution of temperature data, taking into account the influence of temperature changes at different positions of the screen basket during operation on abnormal conditions, and being able to reflect local hot spots caused by uneven distribution and accumulation of coal; then obtaining the particle size anomaly score during the operation of the screen basket, and finally combining the abnormal conditions of multidimensional data to judge the degree of abnormality of the screen basket operation, thereby improving the accuracy of screen basket abnormality judgment.

[0007] Preferably, the step of obtaining the degree of mutation 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.

[0008] The greater the degree of mutation, the more abnormal the vibration data is.

[0009] Preferably, 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 i-th vibration sensor at the screen basket discharge port at all times; n represents the number of vibration sensors at the screen basket feed port.

[0010] The influence of vibration conditions at different positions of the screen basket on abnormal conditions is considered, making the vibration abnormality score during the operation of the screen basket more accurate.

[0011] Preferably, obtaining the temperature non-uniformity inside the sieve basket at each moment includes: The difference between the maximum and minimum values ​​of the temperature data at all positions inside the sieve basket at the tth moment is recorded as the temperature non-uniformity inside the sieve basket at the tth moment.

[0012] Preferably, obtaining the degree of temperature anomaly 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.

[0013] The influence of temperature changes at different positions of the screen basket during operation on abnormal conditions is considered, making the temperature anomaly score during the operation of the screen basket more accurate.

[0014] Preferably, 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.

[0015] Preferably, the step of obtaining the coal dehydration particle size deviation value at each moment of the screen basket outlet 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.

[0016] Preferably, 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.

[0017] Preferably, obtaining the abnormal degree of the screen basket operation and determining the abnormal operation state of the screen basket includes: 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.

[0018] The accuracy of judging abnormal operation of the screen basket is improved.

[0019] In a second aspect, the present invention provides an online centrifuge status monitoring system, which adopts the following technical solutions: A centrifuge state online monitoring system includes: a processor and a memory, wherein the memory stores computer program instructions, and when the computer program instructions are executed by the processor, the above-mentioned centrifuge state online monitoring method is implemented.

[0020] By adopting the above technical solution, the above-mentioned centrifuge state online monitoring method is generated into a computer program and stored in a memory to be loaded and executed by a processor, thereby making a terminal device based on the memory and the processor for easy use.

[0021] The present invention has the following technical effects: the purpose of the present invention is to consider the influence of the vibration conditions at different positions of the screen basket on the abnormal conditions, obtain the vibration abnormality score during the operation of the screen basket, so that the vibration abnormality score reflects the overall vibration condition, and then consider the influence of the temperature change at different positions of the screen basket during operation on the abnormal conditions, obtain the temperature abnormality score during the operation of the screen basket, which can reflect the local hot spots caused by uneven distribution and accumulation of coal; then obtain the particle size abnormality score during the operation of the screen basket, and finally combine the abnormal conditions of multidimensional data to judge the degree of abnormality of the screen basket operation, thereby improving the accuracy of the judgment of the screen basket abnormality. BRIEF DESCRIPTION OF THE DRAWINGS

[0022] By reading the detailed description below with reference to the accompanying drawings, the above and other objects, features and advantages of the exemplary embodiments of the present invention will become readily understood. In the accompanying drawings, several embodiments of the present invention are shown in an exemplary and non-limiting manner, and the same or corresponding numbers represent the same or corresponding parts.

[0023] Figure 1 This is a flow chart of a method for online monitoring of centrifuge status according to an embodiment of the present invention. DETAILED DESCRIPTION

[0024] The technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, but not all of the embodiments.

[0025] The embodiment of the present invention discloses a centrifuge state online monitoring method, referring to Figure 1 , including steps S1 to S4: S1: Collect vibration data, temperature data and coal dehydration particle size data.

[0026] In an embodiment of the present invention, the preset sampling time is half an hour, the sampling frequency is 1 second / time, and a vibration sensor is installed at each support frame of the screen basket feed port of the horizontal high-speed scraper unloading centrifuge. During the operation of the centrifuge, the vibration data of each vibration sensor of the screen basket feed port at each moment is collected; the same number of vibration sensors as the screen basket feed port are installed on the support frame of the screen basket discharge port. During the operation of the centrifuge, the vibration data of each vibration sensor of the screen basket discharge port at each moment is collected; A non-contact temperature sensor is installed at the screen basket feed port to collect feed temperature data at the screen basket feed port at every moment during the operation of the centrifuge; a temperature sensor is installed on the centrifuge casing to collect casing temperature data at every moment during the operation of the centrifuge; non-contact temperature sensors are installed at multiple locations on the contact surface between the screen basket and the material to collect temperature data at every location inside the screen basket at every moment during the operation of the centrifuge; A laser particle size analyzer is installed 30 cm below the screen basket outlet to collect the coal dehydration particle size data at the screen basket outlet at each moment during the operation of the centrifuge.

[0027] S2: Obtain the degree of mutation of vibration data of each vibration sensor at the screen basket feed port and the screen basket discharge port at each moment, and obtain the vibration anomaly score during the operation of the screen basket based on the degree of mutation of the vibration data.

[0028] It should be noted that, when the fixing bolts on the known screen are loose, the screen is prone to shaking and displacement during the vibration process, which may cause friction between the screen and the screen basket, accelerating the wear of both. The loose fixing bolts on the screen cause the screen to be prone to shaking and displacement during the vibration process, so that the vibration amplitude generated during the operation of the screen basket will be significantly increased; and when the coal material accumulates and causes uneven load on the screen, the local area of ​​the screen basket will be subjected to greater pressure and friction, so that the wear rate of the screen basket will be accelerated. When the coal material accumulates on one side of the screen, the vibration amplitude of the screen on this side will be smaller than that on the other side, resulting in an asymmetric distribution of the values ​​of the collected vibration data. Therefore, the present invention first obtains the degree of mutation of the vibration data based on whether the amplitude of the collected vibration data increases and the difference between the amplitudes of the vibration data collected by different vibration sensors at the same time.

[0029] In the embodiment of the present invention, the degree of mutation of the vibration data of the i-th vibration sensor of the screen basket feed port at the t-th moment is obtained: ; Where, Represents the degree of mutation of the vibration data of the ith vibration sensor at the screen basket feed port at time t; represents the amplitude of the vibration data of the ith vibration sensor at the screen basket feed port at the tth moment; represents the amplitude of the vibration data of the i-th vibration sensor at the screen basket feed port at the t-3th moment; || represents the absolute value sign; 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; The larger the value, the greater the difference in the amplitude of the vibration data between the i-th vibration sensor at the screen basket feed port and other vibration sensors at time t. This indicates that the coal in the screen basket has caused a difference in the amplitude of the accumulated vibration data, resulting in an asymmetric distribution of the vibration data collected by each vibration sensor. In this case, the greater the degree of mutation in the vibration data of the i-th vibration sensor at the screen basket feed port at time t. The amplitude difference of the vibration data of the i-th vibration sensor at the screen basket feed port at time t and time t-3 is larger, indicating that the fixing bolts at the screen are loose or the structure is fatigued, resulting in a sudden change in the vibration data. At this time, the degree of sudden change in the vibration data of the i-th vibration sensor at the screen basket feed port at time t is greater.

[0030] Similarly, obtain the degree of mutation of vibration data of each sensor at the screen basket outlet at each moment; It should be noted that the greater the mutation degree of the known vibration data, the more likely it is that the fixing bolts on the screen are loose and the coal is accumulated during the operation of the screen basket, indicating that abnormal vibration has occurred during the operation of the screen basket. Therefore, the mean mutation degree of the vibration data of a single sensor at the screen basket outlet and feed port at all times is weighted and summed, and then the average value is taken to comprehensively quantify the abnormal vibration during the operation of the screen basket.

[0031] In the embodiment of the present invention, the vibration abnormality score during the operation of the screen basket is: ; 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, and the number of sensors placed at the screen basket feed port and the discharge port is the same; It should be noted that 0.4 and 0.6 are weight coefficients. Since the screen basket is more susceptible to various factors near the discharge port, such as screen wear and loose fixing bolts, when these problems occur, the vibration changes near the discharge port are often more sensitive and significant. Therefore, it is necessary to set a larger weight coefficient for the mean value of the mutation degree of the vibration data of the i-th vibration sensor at the screen basket discharge port at all times.

[0032] S3: Obtain the degree of temperature anomaly at each moment during the operation of the screen basket, and based on the degree of temperature anomaly, obtain the temperature anomaly score during the operation of the screen basket; obtain the particle size anomaly score during the operation of the screen basket.

[0033] It should be noted that, in the process of dehydrating fine coal slime, if the coal material is unevenly distributed and accumulates, it is easy to cause the screen basket to be blocked, which significantly increases the friction intensity between the coal material and the screen basket surface, further accelerating the wear of the screen basket. Since the blockage of the screen basket will cause the coal material and the screen basket surface to generate heat by friction, and the hot spots are uneven, if the difference between the temperature data at different positions inside the screen basket is large, it means that the friction between the coal material inside the screen basket and the screen basket surface generates heat, resulting in a large difference in the temperature data at different positions inside the screen basket, and the temperature during the operation of the screen basket is more abnormal; and since the difference between the temperature at the screen basket feed port 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, resulting in local friction heat. Therefore, if the difference between the temperature at the feed port and the temperature inside the screen basket is larger during the operation of the screen basket, it means that the temperature during the operation of the screen basket is more abnormal; In the embodiment of the present invention, the absolute value of the difference between the value of the feed temperature data at the feed port of the screen basket at the tth moment and the average 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 temperature inside the screen basket at the tth moment during the operation of the screen basket; The difference between the maximum and minimum values ​​of the temperature data at all positions inside the sieve basket at the tth moment is recorded as the temperature non-uniformity inside the sieve basket at the tth moment; Get the degree of temperature anomaly at each moment during the operation of the screen basket: ; Where, 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; The larger the value is, the greater the temperature anomaly is at the t moment during the operation of the screen basket. The larger the value is, the more uneven the distribution of coal in the screen basket is, which leads to local frictional heat generation. At this time, the greater the temperature anomaly at time t during the operation of the screen basket is. The average value of the temperature anomaly at all times during the operation of the screen basket is recorded as the temperature anomaly score during the operation of the screen basket; It should be noted that the screen basket is a key component responsible for solid-liquid separation in the centrifuge. Its wear and blockage will directly affect the dehydrated particle size of the coal. Therefore, by monitoring the stability of the coal dehydrated particle size data at each moment of the screen basket outlet, the abnormal state of the screen basket can be indirectly evaluated.

[0034] In the embodiment of the present invention, it is known from the query document that the preset target coal dehydrated particle size data is 0.4 mm; the absolute value of the difference between the coal dehydrated particle size data at each moment of the screen basket discharge port and the target coal dehydrated particle size data is recorded as the coal dehydrated particle size deviation value at each moment of the screen basket discharge port; In this embodiment of the present invention, the particle size anomaly score during the operation of the screen basket is obtained: ; 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 deviation values ​​of the coal dehydration particle size at all times at the screen basket discharge port; norm() represents the normalization function; the larger the sum of the standard deviation of the coal dehydration particle size deviation values ​​at all times at the screen basket discharge port and the mean of the deviation values, the more unstable the coal dehydration particle size data at the screen basket discharge port is, and therefore the larger the particle size anomaly score is during the screen basket operation process.

[0035] S4: Obtaining the abnormality degree of the screen basket operation according to the particle size abnormality score, temperature abnormality score, and vibration abnormality score during the operation of the screen basket, and judging the abnormal operation state of the screen basket according to the abnormality degree.

[0036] It should be noted that it is necessary to consider the vibration anomaly score, temperature anomaly score and particle size anomaly score during the operation of the screen basket at the same time to comprehensively obtain the abnormal degree of the screen basket operation.

[0037] In the embodiment of the present invention, the sum of the vibration anomaly score, the temperature anomaly score and the particle size anomaly score during the operation of the screen basket is used as the abnormality degree of the screen basket operation; The preset abnormality threshold T1=0.7. In other embodiments, the implementer may preset the abnormality threshold according to the specific implementation situation. If the abnormality of the screen basket operation is greater than the abnormality threshold, it is considered that the operation of the screen basket is abnormal. In this case, the centrifuge needs to be shut down and the screen basket needs to be replaced.

[0038] An embodiment of the present invention further discloses an online centrifuge status monitoring system, comprising a processor and a memory, wherein the memory stores computer program instructions. When the computer program instructions are executed by the processor, an online centrifuge status monitoring method according to the present invention is implemented.

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 sudden change in vibration data of each vibration sensor at the screen basket inlet and outlet at each moment based on the distribution of vibration data of all vibration sensors at the screen basket inlet and outlet at each moment; obtain the vibration anomaly score during the operation of the screen basket based on the degree of sudden change in vibration data; According to the temperature data of all positions inside the screen basket at each moment, the temperature nonuniformity inside 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 during the operation of the screen basket, the degree of temperature abnormality at each moment during the operation of the screen basket is obtained; Based on the temperature anomaly degree, obtaining a temperature anomaly score during the operation of the screen basket; Obtain the coal dehydration particle size deviation value at each moment of the screen basket outlet; According to the standard deviation and mean of the coal dehydrated particle size deviation value at the screen basket outlet at all times, the particle size anomaly score during the screen basket operation process is obtained; According to the particle size abnormality score, temperature abnormality score and vibration abnormality score during the operation of the screen basket, the abnormal degree of the screen basket operation is obtained and the abnormal operation state of the screen basket is judged.

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 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 i-th vibration sensor at the screen basket discharge port at all times; n represents the number of vibration sensors at the screen basket feed port.

4. The method for online monitoring of centrifuge status according to claim 1, characterized in that: The obtaining of the temperature non-uniformity inside the sieve basket at each moment includes: The difference between the maximum and minimum values ​​of the temperature data at all positions inside the sieve basket at the tth moment is recorded as the temperature non-uniformity inside the sieve basket at the tth moment.

5. 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.

6. 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.

7. 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.

8. 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.

9. The method for online monitoring of centrifuge status according to claim 1, characterized in that: The obtaining of the abnormal degree of the screen basket operation and determining the abnormal operation state of the screen basket includes: 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.

10. 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 9 is implemented.

Images