Intelligent coal flow anti-blocking system

Abstract

The present invention discloses an intelligent coal flow anti-blocking system, which relates to the technical field of coal flow anti-blocking. The present invention monitors the amount of dust generated in the chute working area when the intervention mechanism is executed by setting a dust monitoring unit. The mechanism analysis module analyzes the execution dust of the corresponding intervention mechanism under each blocking level, so as to obtain the optimal operating time of the vacuum cleaner power when the corresponding intervention mechanism is executed under each blocking level; by analyzing the change in the amount of dust generated in the chute working area under each intervention mechanism, the influence of each intervention mechanism on the change in dust amount can be determined, so that the regulation is more precise. The dust processing unit adjusts the duration of the first, second and third standard adjustment powers of the vacuum cleaner under the corresponding intervention mechanism according to these data. This method not only improves the working efficiency of the vacuum cleaner, but also avoids excessive energy consumption, and also provides a healthier and cleaner working environment for the operator.

Description

Technical Field

[0001] The present invention relates to the technical field of coal flow anti-blocking, and in particular to an intelligent coal flow anti-blocking system. Background Art

[0002] Chute blockage is a common problem in coal transportation. Once this situation is detected, we usually prefer to use high-frequency vibrators to dredge it. This equipment generates high-frequency vibrations to impact the blocked parts and cause them to fall off, thereby restoring the smooth flow of the chute. If the high-frequency vibrator cannot successfully solve the problem, we will turn to high-pressure air bags, which can generate strong airflow impact force, directly act on the blockage point, and push the material off;

[0003] However, whether it is a high-frequency vibrator or a high-pressure air bag, dust will inevitably be generated during the process of clearing the chute. In order to control this inevitable dust, we will install a dust monitor and equip it with a vacuum cleaner. The dust monitor can monitor the dust concentration in the working area in real time and start the vacuum cleaner to absorb the dust when the dust concentration exceeds the standard to avoid damage to personnel or equipment.

[0004] At present, in order to ensure that the dust is absorbed as much as possible, the power regulation of the vacuum cleaner is still adjusted at a fixed maximum power. However, it is worth noting that the amount of dust generated during the two intervention methods does not continue to increase, which means that if the vacuum cleaner is always operated at maximum power, energy may be wasted;

[0005] In order to solve the above problems, the present invention proposes a solution. Summary of the invention

[0006] The purpose of the present invention is to provide an intelligent coal flow anti-blocking system in order to solve the technical problems raised in the above-mentioned background technology.

[0007] The purpose of the present invention can be achieved through the following technical solutions:

[0008] Intelligent coal flow anti-blocking system, including status monitoring terminal, blocking determination module, blocking intervention module, dust treatment module and mechanism analysis module:

[0009] The blockage determination module is used to determine the current state of the chute. It determines whether the chute is blocked at the current moment based on the flow rate of the inlet and outlet materials of the chute, the frequency and intensity of the sound in the chute, and the pressure at each monitoring point on the inner wall of the chute. If a blockage is determined, the blockage level is output synchronously.

[0010] A blocking intervention module, which uses a corresponding intervention mechanism to clear the blockage in the chute according to the blocking level of the blockage in the chute. The intervention mechanism is used to indicate the standard adjustment values ​​of the anti-blocking equipment and its parameters pre-activated at the corresponding blocking level. The anti-blocking equipment includes a high-frequency rapper and a high-pressure air bag;

[0011] A dust treatment module is used to monitor and treat dust in the working area of ​​the chute. The dust treatment module includes a dust monitoring unit and a dust treatment unit;

[0012] When the intervention mechanism corresponding to any blocking level is executed, the dust monitoring unit acquires the dust amount generated when the corresponding anti-blocking devices in the working area of ​​the chute are activated in real time from the execution time, until all the anti-blocking devices activated when the intervention mechanism is executed stop working, and obtains the execution dust information of the intervention mechanism and stores it;

[0013] The mechanism analysis module analyzes the execution dust information of all intervention mechanisms stored in the dust monitoring unit to obtain the first, second and third duration indicators of all intervention mechanisms, which are stored by the dust processing unit;

[0014] When the intervention mechanism corresponding to any blockage level is executed, the dust processing unit obtains the first, second, and third duration indicators of the intervention mechanism stored therein, and adjusts the power adjustment duration and power adjustment value of the vacuum cleaner accordingly.

[0015] Further, the state monitoring terminal includes a flow monitoring module, a sound monitoring module and a pressure monitoring module;

[0016] The flow monitoring module collects the monitoring values ​​of the flow meter installed at the entrance and exit of the chute in real time and generates real-time flow monitoring data based on it; the sound monitoring module monitors the frequency and intensity of the sound in the chute in real time and generates real-time sound monitoring data based on it; the pressure monitoring module collects the monitoring values ​​of the pressure sensors installed at each monitoring point in the chute in real time and generates real-time pressure monitoring data based on it.

[0017] Furthermore, the blockage determination module pre-stores determination intervals of various parameters corresponding to different blockage levels, the parameters including the flow rate of materials at the inlet and outlet of the chute, the frequency and intensity of sound in the chute, and the pressure at various monitoring points on the inner wall of the chute.

[0018] Beneficial effects of the present invention:

[0019] (1) The present invention monitors the flow process of materials in the chute by setting a status monitoring terminal. The blockage determination module determines whether the chute is blocked by measuring the flow rate of the chute inlet and outlet, the frequency and intensity of the sound in the chute, and the pressure of each monitoring point on the inner wall of the chute, and simultaneously outputs the blockage level in the chute. The blockage intervention module adopts different intervention mechanisms to intervene in the blockage according to different blockage levels. In this way, the dredging process of the chute is made more intelligent and automated.

[0020] (2) The present invention sets a dust monitoring unit to monitor the amount of dust generated in the chute working area when the intervention mechanism is executed. The mechanism analysis module analyzes the execution dust of the corresponding intervention mechanism at each blockage level, so as to obtain the optimal operating time of the vacuum cleaner power when the corresponding intervention mechanism is executed at each blockage level; by analyzing the change in the amount of dust generated in the chute working area under each intervention mechanism, the impact of each intervention mechanism on the change in dust amount can be determined, making the control more precise. The dust processing unit adjusts the duration of the first, second and third standard adjustment powers of the vacuum cleaner under the corresponding intervention mechanism according to these data. This method not only improves the working efficiency of the vacuum cleaner, but also avoids excessive energy consumption, and also provides a healthier and cleaner working environment for the operator. BRIEF DESCRIPTION OF THE DRAWINGS

[0021] The present invention will be further described below in conjunction with the accompanying drawings.

[0022] Figure 1 is a system block diagram of the present invention;

[0023] Figure 2 It is a flow chart of the method of the present invention. DETAILED DESCRIPTION

[0024] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0025] Embodiment 1, as Figure 1 , 2 As shown, the intelligent coal flow anti-blocking system includes a state monitoring terminal, a blocking determination module, a blocking intervention module, a dust removal module and a mechanism analysis module;

[0026] The state monitoring terminal is used to monitor the flow process of materials in the chute. The state monitoring terminal includes a flow monitoring module, a sound monitoring module and a pressure monitoring module;

[0027] The flow monitoring module includes two flow meters, the sound monitoring module includes a sound wave sensor, and the pressure monitoring module includes several pressure sensors;

[0028] In this embodiment, a flow meter is installed at the inlet and outlet of the chute to monitor the flow of the inlet and outlet materials; in this embodiment, the monitoring personnel select several monitoring points in the chute, and a pressure sensor is installed at each monitoring point to monitor the pressure;

[0029] The flow monitoring module collects the monitoring values ​​of the flow meters installed at the entrance and exit of the chute in real time and generates real-time flow monitoring data based on them;

[0030] The sound monitoring module monitors the frequency and intensity of the sound in the chute in real time and generates real-time sound monitoring data based on it;

[0031] The pressure monitoring module collects the monitoring values ​​of the pressure sensors installed at each monitoring point in the chute in real time and generates real-time pressure monitoring data based on them;

[0032] A status monitoring terminal generates real-time status monitoring data based on real-time flow monitoring data, sound monitoring data and pressure monitoring data and transmits it to a blocking determination module;

[0033] The blockage determination module is used to determine the state of the chute at the current moment. The blockage determination module pre-stores the determination intervals of various parameters corresponding to different blockage levels. The parameters include the flow rate of the inlet and outlet materials of the chute, the frequency and intensity of the sound in the chute, and the pressure of each monitoring point on the inner wall of the chute;

[0034] In this embodiment, in order to more accurately describe and solve the blockage problem in the chute, the management personnel divide the blockage degree in the chute into four blockage levels, namely, a mild level, a moderate level, a severe level, and an extreme level;

[0035] After receiving the status monitoring data at the current moment, the blocking determination module determines whether a blockage occurs in the chute at the current moment;

[0036] If it is determined that there is a blockage, a matching blockage level is obtained, and a blockage interference instruction is generated according to the blockage level, and the blockage interference instruction is transmitted to the blockage intervention module. If it is determined that there is no blockage, no processing is performed;

[0037] The method for determining whether blocking occurs is as follows:

[0038] Matching the monitoring values ​​of the inflow and outflow flow, the frequency and intensity of the sound in the chute, and the pressure values ​​of each monitoring point in the chute carried in the current state monitoring data with the determination intervals of each parameter corresponding to different blockage levels;

[0039] If the monitoring values ​​of the inlet and outlet flows are within the determination interval of the flow parameter corresponding to a certain blockage level, the frequency and intensity of the sound in the chute are also within the determination interval of the frequency and intensity of the sound in the chute corresponding to the blockage level, and the monitoring values ​​of the pressures at each monitoring point in the chute are also within the determination interval of the pressures at each monitoring point on the inner wall of the chute corresponding to the blockage level, then it is determined that blockage occurs in the chute at the current moment and the blockage level is the blockage level; otherwise, it is determined that no blockage occurs in the chute at the current moment;

[0040] A blocking intervention module is used to intervene in the blocking in the chute. The blocking intervention module stores the intervention mechanisms corresponding to different blocking levels. The intervention mechanisms are used to indicate the standard adjustment values ​​of the anti-blocking devices and their parameters that are pre-activated at the corresponding blocking level.

[0041] The anti-blocking equipment includes a high-frequency rapper and a high-pressure air bag. The parameters of the high-frequency rapper refer to the frequency and amplitude, and the parameters of the high-pressure air bag refer to the air pressure of the air bag.

[0042] After receiving the transmitted blocking intervention instruction, the blocking intervention module obtains the blocking level carried therein, and obtains the corresponding intervention mechanism according to the blocking level;

[0043] Activate the corresponding anti-blocking devices under the intervention mechanism, and adjust the parameters of the anti-blocking devices to reach the corresponding standard adjustment values. When the anti-blocking devices are activated, the blocking intervention module generates a mechanism execution instruction according to the intervention mechanism, and transmits the mechanism execution instruction to the dust processing module;

[0044] A dust treatment module is used to monitor and treat dust in the working area of ​​the chute. The dust treatment module includes a dust monitoring unit and a dust treatment unit;

[0045] The dust monitoring unit monitors the dust concentration in the chute working area. When the dust concentration in the chute working area reaches Z1, the dust monitoring unit adjusts the power of the vacuum cleaner to Pmax, where Z1 is the preset minimum dust treatment concentration standard and Pmax is the maximum power of the vacuum cleaner equipped in the chute working area;

[0046] In this embodiment, before the intervention mechanism is activated, the dust concentration in the working area of ​​the chute will not reach Z1;

[0047] After receiving the transmitted mechanism execution instruction, the dust processing unit transmits it to the dust monitoring unit, and the dust monitoring unit obtains the dust amount generated when the corresponding anti-blocking devices in the chute working area are activated in real time from the moment of receipt, until the anti-blocking devices corresponding to the intervention mechanism carried in the mechanism execution instruction stop working, and obtains the execution dust information of the intervention mechanism in the mechanism execution instruction based on the dust generation amount in the chute working area at several moments, and stores it;

[0048] When the blockage in the chute is cleared, the blockage intervention module immediately shuts down all corresponding anti-blockage devices. At the same time, when the dust monitoring unit detects that the dust concentration in the working area of ​​the chute drops to Z2, it shuts down the vacuum cleaner in the chute area. Z2 is the preset dust treatment concentration standard.

[0049] Embodiment 2 is implemented on the basis of embodiment 1;

[0050] The mechanism analysis module is used to periodically analyze the execution dust information of the intervention mechanism corresponding to each blocking level. The analysis steps are as follows:

[0051] S11: First, select an intervention mechanism as the mechanism to be analyzed;

[0052] S12: Obtain the execution dust information of all mechanisms to be analyzed stored in the dust monitoring unit, marked as A1, A2, ..., Aa, where a≥1;

[0053] S13: according to the order of distance between the acquisition time and the current time, all dust generation amounts in the execution dust information A1 are marked as B1, B2, ..., Bb in sequence from far to near, where b≥1;

[0054] S14: Calculate the difference C1 between the dust generation amounts B1 and B2 using the formula C1=B2-B1;

[0055] The dust generation differences C2, C3, ..., Cb-1 between the dust generation amounts B2 and B3, B3 and B4, ..., Bb-1 and Bb are calculated in sequence;

[0056] S15: Calculate and obtain the first node index H1 of the execution dust information A1 according to the preset first node calculation rule. The first node calculation rule is as follows:

[0057] S151: Using formula Calculate and obtain the deviation E1 of C1, C2 and C3. At this time, the value of e is 3.

[0058] S152: According to S151, calculate in sequence the deviations E2 of C1, C2, C3, and C4, the deviation E3 of C1, C2,... and C5,..., and the deviation Eb-3 of C1, C2,... and Cb-1;

[0059] S153: Obtain from the deviations E1, E2,..., Eb-3 the deviation that is numerically closest to and greater than the value of PE1. When calculating, all the differences in dust generation amounts involved in the calculation are re-labeled as F1, F2,..., Ff in the order of the differences in dust generation amounts C2, C3,..., Cb-1, where 1 ≤ f < b-3, and PE1 is a preset first screening deviation threshold;

[0060] Select from the acquisition times corresponding to the two dust generation amounts for calculating Ff the acquisition time closest to the current time, and label this acquisition time as the first dust variable node for executing dust information A1;

[0061] S154: Take the acquisition times corresponding to the dust generation amounts B1, B2,..., Bb as a time series, and sort the acquisition times corresponding to the dust generation amounts B1, B2,..., Bb in sequence from left to right in the time series;

[0062] S155: Calculate and obtain the first node index H1 for executing dust information A1 using the formula H1 = G1 / P1, where G1 is the time interval between the first dust variable node for executing dust information A1 and the acquisition time of the dust generation amount B1, and P1 is the time interval between the acquisition times of the dust generation amounts B1 and Bb;

[0063] S16: Calculate and obtain the second node index H2 for executing dust information A1 according to a preset second node calculation rule. The second node calculation rule is as follows:

[0064] S161: Re-label all the differences in dust generation amounts C1, C2, C3,..., Cb-1 except for F1, F2,..., Ff as I1, I2,..., Ii in the order of C1, C2, C3,..., Cb-1, where 1 ≤ i ≤ b-1-f;

[0065] S162: Use the formula to calculate and obtain the deviation K1 of I1, I2, and I3. At this time, the value of e is 3;

[0066] S163: According to S162, calculate in sequence the deviation K2 of I1, I2, I3, and I4, the deviation K3 of I1, I2,..., and I5,..., and the deviation Ki-2 of I1, I2,..., and Ii;

[0067] S164: Obtain the deviation among K1, K2, …, Ki-2 that is numerically closest to and greater than the value of PE2. When performing calculations, for all the differences in dust generation amounts involved in the calculation, re-label them in sequence as L1, L2, …, Ll corresponding to the differences in dust generation amounts I1, I2, …, Ii, where 1 ≤ l < i - 2, and PE2 is a preset second screening deviation threshold;

[0068] Select the acquisition moment closest to the current moment from the acquisition moments corresponding to the two differences in dust generation amounts used to calculate Ll, and label this acquisition moment as the second dust variable node for executing dust information A1;

[0069] S165: Calculate and obtain the second node index H2 for executing dust information A1 using the formula H2 = G2 / P1, where G2 is the time interval between the second dust variable node and the first dust variable node for executing dust information A1;

[0070] S17: Calculate and obtain the second node index H3 for executing dust information A1 according to a preset third node calculation rule. The third node calculation rule is as follows:

[0071] S171: Re-label all the differences in dust generation amounts among C1, C2, C3, …, Cb-1 except for F1, F2, …, Ff, I1, I2, …, Ii in the order of C1, C2, C3, …, Cb-1 as M1, M2, …, Mm, where 1 ≤ m ≤ b - 1 - f - i;

[0072] S172: Select the acquisition moment closest to the current moment from the acquisition moments corresponding to the two differences in dust generation amounts used to calculate Mm, and label this acquisition moment as the third dust variable node for executing dust information A1;

[0073] S173: Calculate and obtain the third node index H3 for executing dust information A1 using the formula H3 = G3 / P1, where G3 is the time interval between the third dust variable node and the second dust variable node for executing dust information A1;

[0074] S18: Calculate and obtain the first node indices Q1, Q2, …, Qa, the second node indices R1, R2, …, Ra, and the third node indices T1, T2, …, Ta for executing dust information A2, A3, …, Aa in sequence according to S12 to S17;

[0075] S19: Calculate and obtain the first, second, and third duration indices for the mechanism to be analyzed according to a preset calculation rule. The calculation rule is as follows:

[0076] S191: Using the formula Calculate and obtain the deviation U1 of the first node metrics Q1, Q2, ..., Qa, compare the magnitudes of U1 and U, where Q is the average value of Qu at this time;

[0077] If U1 ≥ U, then in the order from largest to smallest of |Qu - Q|, delete the corresponding Qu in sequence and calculate the deviation U1 of the remaining Qu. At this time, compare the magnitudes of U1 and U again until U1 < U, obtain the average value of the remaining Qu participating in the calculation of the deviation U1 at this time, and take it as the first duration metric of the mechanism to be analyzed;

[0078] S192: According to the same calculation and screening process as S191, calculate and obtain the second duration metric and the third duration metric of the mechanism to be analyzed. Among them, when calculating the second duration metric of the mechanism to be analyzed, it is obtained by calculating the deviation of the second node metrics R1, R2, ..., Ra, and when calculating the third duration metric of the mechanism to be analyzed, it is obtained by calculating the deviation of the third node metrics T1, T2, ..., Ta;

[0079] S110: According to S11, sequentially select all intervention mechanisms as the mechanisms to be analyzed, and calculate and obtain the first, second, and third duration metrics of all intervention mechanisms according to S12 to S19;

[0080] The mechanism analysis module transmits the first, second, and third duration metrics of all intervention mechanisms to the dust treatment unit for update and storage;

[0081] When the dust treatment unit receives the transmitted mechanism execution instruction, it first obtains the intervention mechanism carried therein and obtains the corresponding first, second, and third duration metrics according to the intervention mechanism;

[0082] Then adjust the power of the vacuum cleaner to V1 and start timing. When the duration of the first duration metric has passed, adjust the power of the vacuum cleaner to V2, then start timing again. When the duration of the second duration metric has passed, adjust the power of the vacuum cleaner to V3. V1, V2, and V3 are the first, second, and third standard adjustment powers corresponding to the preset intervention mechanism respectively.

[0083] In the description of the specification, the description referring to terms such as "one embodiment", "example", "specific example", etc. means that the specific features, structures, materials, or characteristics described in connection with the embodiment or example are included in at least one embodiment or example of the present invention. In this specification, the schematic expressions of the above terms do not necessarily refer to the same embodiment or example. Moreover, the specific features, structures, materials, or characteristics described can be combined in a suitable manner in any one or more embodiments or examples.

[0084] The above contents are merely examples and explanations of the present invention. Those skilled in the art may make various modifications or additions to the specific embodiments described or replace them in a similar manner. As long as they do not deviate from the invention or exceed the scope defined by the claims, they shall all fall within the protection scope of the present invention.

[0085] The above is a detailed description of an embodiment of the present invention, but the content is only a preferred embodiment of the present invention and cannot be considered to limit the scope of implementation of the present invention. All equivalent changes and improvements made within the scope of the present invention should still fall within the scope of the patent coverage of the present invention.

Claims

1. Intelligent coal flow anti-blocking system, characterized by: Including status monitoring terminal, blockage determination module, blockage intervention module, dust treatment module and mechanism analysis module: The blockage determination module is used to determine the current state of the chute. It determines whether the chute is blocked at the current moment based on the flow rate of the inlet and outlet materials of the chute, the frequency and intensity of the sound in the chute, and the pressure at each monitoring point on the inner wall of the chute. If a blockage is determined, the blockage level is output synchronously. A blocking intervention module, which uses a corresponding intervention mechanism to clear the blockage in the chute according to the blocking level of the blockage in the chute. The intervention mechanism is used to indicate the standard adjustment values ​​of the anti-blocking equipment and its parameters pre-activated at the corresponding blocking level. The anti-blocking equipment includes a high-frequency rapper and a high-pressure air bag; A dust treatment module is used to monitor and treat dust in the working area of ​​the chute. The dust treatment module includes a dust monitoring unit and a dust treatment unit; When the intervention mechanism corresponding to any blocking level is executed, the dust monitoring unit acquires the dust amount generated when the corresponding anti-blocking devices in the working area of ​​the chute are activated in real time from the execution time, until all the anti-blocking devices activated when the intervention mechanism is executed stop working, and obtains the execution dust information of the intervention mechanism and stores it; The mechanism analysis module analyzes the execution dust information of all intervention mechanisms stored in the dust monitoring unit to obtain the first, second and third duration indicators of all intervention mechanisms, which are stored by the dust processing unit; When the intervention mechanism corresponding to any blockage level is executed, the dust processing unit obtains the first, second, and third duration indicators of the intervention mechanism stored therein, and adjusts the power adjustment duration and power adjustment value of the vacuum cleaner accordingly.

2. The intelligent coal flow anti-blocking system according to claim 1 is characterized in that: The state monitoring terminal includes a flow monitoring module, a sound monitoring module and a pressure monitoring module; The flow monitoring module collects the monitoring values ​​of the flow meters installed at the entrance and exit of the chute in real time and generates real-time flow monitoring data based on them; The sound monitoring module monitors the frequency and intensity of the sound in the chute in real time and generates real-time sound monitoring data based on it; the pressure monitoring module collects the monitoring values ​​of the pressure sensors installed at each monitoring point in the chute in real time and generates real-time pressure monitoring data based on it.

3. The intelligent coal flow anti-blocking system according to claim 1 is characterized in that: The levels of obstruction are mild, moderate, severe and extreme.

4. The intelligent coal flow anti-blocking system according to claim 1 is characterized in that: The blockage determination module pre-stores determination intervals of various parameters corresponding to different blockage levels, the parameters including the flow of materials at the inlet and outlet of the chute, the frequency and intensity of sound in the chute, and the pressure at various monitoring points on the inner wall of the chute.

5. The intelligent coal flow anti-blocking system according to claim 1 is characterized in that: The parameters of the high-frequency rapper refer to the frequency and amplitude, and the parameters of the high-pressure air bag refer to the air pressure of the air bag.

6. The intelligent coal flow anti-blocking system according to claim 1 is characterized in that: The analysis steps to obtain the first, second and third duration indicators of all intervention mechanisms are as follows: S11: First, select an intervention mechanism as the mechanism to be analyzed; S12: Obtain the execution dust information of all mechanisms to be analyzed stored in the dust monitoring unit, marked as A1, A2, ..., Aa, where a≥1; S13: Arrange all the dust generation amounts in the dust information A1 in descending order according to the distance from the acquisition time to the current time, and sequentially label them as B1, B2, ..., Bb from far to near, where b ≥ 1; S14: Calculate the dust generation amount difference C1 between the obtained dust generation amounts B1 and B2 using the formula C1 = B2 - B1; Sequentially calculate the dust generation amount differences C2, C3, ..., Cb-1 between the obtained dust generation amounts B2 and B3, B3 and B4, ..., Bb-1 and Bb; S15: Calculate the first node index H1 of the execution dust information A1 according to the preset first node calculation rule; S16: Calculate the second node index H2 of the execution dust information A1 according to the preset second node calculation rule; S17: Calculate the third node index H3 of the execution dust information A1 according to the preset third node calculation rule; S18: According to S12 to S17, sequentially calculate the first node indexes Q1, Q2, ..., Qa, the second node indexes R1, R2, ..., Ra, and the third node indexes T1, T2, ..., Ta of the execution dust information A2, A3, ..., Aa; S19: Calculate the first, second, and third duration indexes of the mechanism to be analyzed according to the preset calculation rule. The calculation rule is as follows: S191: Using the formula Calculate and obtain the deviation U1 of the first node index Q1, Q2, ..., Qa, and compare U1 with U. At this time, Q is the average value of Qu; If U1 ≥ U, then arrange the corresponding Qu in descending order according to |Qu - Q|, sequentially delete the corresponding Qu and calculate the deviation U1 of the remaining Qu. At this time, compare the sizes of U1 and U again until U1 < U. Obtain the average value of the remaining Qu participating in the deviation U1 calculation at this time and use it as the first duration index of the mechanism to be analyzed; S192: Calculate the second and third duration indexes of the mechanism to be analyzed according to the same calculation and screening process as S191. When calculating the second duration index of the mechanism to be analyzed, the deviation is obtained by calculating the second node indexes R1, R2, ..., Ra. When calculating the third duration index of the mechanism to be analyzed, the deviation is obtained by calculating the third node indexes T1, T2, ..., Ta; S110: According to S11, sequentially select all intervention mechanisms as the mechanisms to be analyzed, and calculate the first, second, and third duration indexes of all intervention mechanisms according to S12 to S19.

7. The intelligent coal flow anti-blocking system according to claim 6 is characterized in that: The first node calculation rule for calculating the first node index H1 of the execution dust information A1 is as follows: S151: Using formula Calculate and obtain the deviation E1 of C1, C2 and C3. At this time, the value of e is 3. S152: According to S151, sequentially calculate the deviations E2 of C1, C2, C3, and C4, the deviations E3 of C1, C2, ..., and C5, ..., the deviations Eb-3 of C1, C2, ..., and Cb-1; S153: Obtain the deviation that is numerically closest to the value of PE1 and greater than PE1 from the deviations E1, E2, ..., Eb-3. When calculating, all the dust generation amount differences involved in the calculation are rearranged in the order of the dust generation amount differences C2, C3, ..., Cb-1 and correspondingly relabeled as F1, F2, ..., Ff, where 1 ≤ f < b - 3, and PE1 is the preset first screening deviation threshold; Select the acquisition time closest to the current time from the acquisition time corresponding to the two dust generation amounts for calculating Ff, and mark the acquisition time as the first dust variable node for executing dust information A1; S154: taking the acquisition times corresponding to the dust generation amounts B1, B2, ..., Bb as a time series, in which the acquisition times corresponding to the dust generation amounts B1, B2, ..., Bb are arranged in sequence from left to right; S155: Use the formula H1=G1 / P1 to calculate the first node index H1 for executing the dust information A1, G1 is the interval between the first dust variable node for executing the dust information A1 and the acquisition time of the dust generation amount B1, and P1 is the interval between the acquisition time of the dust generation amounts B1 and Bb.

8. The intelligent coal flow anti-blocking system according to claim 1 is characterized in that: When the intervention mechanism corresponding to any one of the blocking levels is executed, the dust processing unit first obtains the first, second and third duration indicators corresponding to the intervention mechanism, and then obtains the first, second and third standard adjustment powers corresponding to the preset intervention mechanism; Then adjust the power of the vacuum cleaner to the first standard adjusted power and start timing. After the first time indicator has passed, adjust the power of the vacuum cleaner to the second standard adjusted power and restart timing. After the second time indicator has passed, adjust the power of the vacuum cleaner to the third standard adjusted power and restart timing again. After the third time indicator has passed, turn off the vacuum cleaner.

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