Noiseless intelligent cone bin flow assisting device and control system

Abstract

The invention relates to the technical field of cone bin flow aiding devices, in particular to a noiseless intelligent cone bin flow aiding device and a control system.The noiseless intelligent cone bin flow aiding device comprises a device machine shell, a rotary support arranged in the device machine shell, a butt joint block fixedly installed on the surface of the inner wall of the rotary support and a flow aiding rod integrally fixed to the butt joint block; the rotary support can rotate relative to the device shell, and the flow aiding rod is driven to rotate through rotation of the rotary support, so that flow aiding is carried out during discharging of the conical bin; according to the cone bin flow aiding device, through structural arrangement, the position height of the arch breaking vertical rod can be adjusted, so that the arch breaking vertical rod is located at the position height where an arch frame is easy to form, and then the working efficiency of the cone bin flow aiding device is improved.

Description

Technical Field

[0001] The present invention relates to the technical field of conical bin flow-aiding devices, and in particular to a noiseless intelligent conical bin flow-aiding device and a control system. Background Art

[0002] A conical silo is a cylindrical silo with a conical bottom for temporary storage. In industrial production, granular materials are first added to the silo and then discharged through the silo into subsequent processing equipment. However, in actual use, granular materials in the silo are prone to forming arches during the discharge process, causing interruptions in discharge. Arches are formed by the accumulation of granular materials above or within the silo's discharge port due to interlocking, adhesion, or mechanical engagement, forming an arch-like structure. This structure can hinder the normal flow of materials, resulting in poor discharge or even complete blockage.

[0003] The conical silo flow-aiding device is a device installed at the discharge port of the conical silo, which can destroy the arch frame and promote the flow of granular materials. However, when the conical silo itself and the type of granular materials added remain unchanged, the proportion of small particles in the granular materials and the changes in humidity will greatly affect the formation height of the arch frame. These two factors are also the factors that are most likely to change during the storage of granular materials. Due to the mutual collision and friction between the granular materials, small particles will be produced, and during the storage process, the small particles will gradually move downward and concentrate at the bottom of the granular material pile. In the subsequent process of adding the conical silo, as the granular material pile is taken, the proportion of small particles will inevitably gradually increase; and as for the humidity, due to the storage and stacking, there will also be a large difference in the humidity of the upper and lower layers of granular materials.

[0004] The greater the proportion of small particles in a granular material, the more contact points between particles, the greater the friction and cohesion between particles, the worse the fluidity of the material, and the more likely it is to form arches at lower positions. The higher the humidity, the more water adsorbed on the surface of the particles, the greater the viscosity between the particles, the stronger the cohesion, and the lower the fluidity of the material, which also causes the arch to form at a lower position; the above situation, in turn, will cause the arch to form at a higher height. However, the conical bin flow-aiding device in traditional technology cannot adjust the position and height of the arch-breaking vertical rod, and cannot make the arch-breaking vertical rod break the arch at the position and height where the arch is likely to form, and the working efficiency is not high enough. Summary of the Invention

[0005] The purpose of the present invention is to provide a noiseless intelligent conical silo flow-aiding device and control system to solve the problems raised in the above background technology.

[0006] To achieve the above objectives, the present invention provides the following technical solutions: a noiseless intelligent conical silo flow-aiding device, comprising a device housing, a swivel support disposed within the device housing, a docking block fixedly mounted to the inner wall surface of the swivel support, and a flow-aiding rod integrally fixed to the docking block, wherein the swivel support is capable of rotating relative to the device housing, and the rotation of the swivel support drives the flow-aiding rod to rotate, thereby assisting flow during material discharge from the conical silo;

[0007] The end of the flow-aiding rod is sleeved with an adjusting sleeve, and an arch-breaking vertical rod is fixedly provided on the surface of the adjusting sleeve; the adjusting sleeve can be telescopically adjusted relative to the flow-aiding rod along its axial direction, so that the position height of the arch-breaking vertical rod can be changed.

[0008] A hydraulic chamber is provided inside the flow-assisting rod, and a rectangular through-slot is provided at the end of the hydraulic chamber. A rectangular limiting rod is inserted into the rectangular through-slot. Through the limiting cooperation between the rectangular limiting rod and the rectangular through-slot, the rectangular limiting rod can only be telescopically moved along the length direction of the rectangular through-slot.

[0009] The hydraulic chamber is provided with a piston portion in sealing contact therewith, one end of the rectangular limiting rod is fixed to the piston portion, and the other end is fixed to the adjusting sleeve;

[0010] A liquid flow channel is provided in the docking block and the flow-assisting rod, a relay flow channel is provided in the swivel support, one end of the liquid flow channel is communicated with the hydraulic cavity, and the other end of the liquid flow channel is sealed and docked with the relay flow channel.

[0011] An annular seat is fixedly disposed inside the housing of the device. An annular groove is formed on the annular seat. The annular seat is in sealing contact with the outer surface of the gyroscopic support. The gyroscopic support is rotatable relative to the annular seat. The relay flow channel and the annular groove remain in communication during the rotation of the gyroscopic support.

[0012] A seat flow channel is provided in the annular seat body, and a docking screw port is provided on the outside of the device housing. The docking screw port is communicated with the annular groove through the seat flow channel.

[0013] A control system for a noiseless intelligent conical bin flow-aiding device, the system comprising a laser particle size analyzer, a humidity sensor, a computing and processing module, and a hydraulic control module;

[0014] The laser particle size analyzer is used to monitor the particle size distribution of the granular material in the conical bin in real time, and the humidity sensor is used to monitor the humidity of the granular material in the conical bin in real time. The laser particle size analyzer and the humidity sensor input the monitoring data into the calculation processing module, and the calculation processing module is provided with an arch height correction prediction algorithm. The arch height correction prediction algorithm calculates the change in the height of the position where the granular material is likely to form an arch when the humidity and particle size ratio change;

[0015] The calculation and processing module controls the hydraulic control module according to the output result of the arch height correction prediction algorithm, and through the hydraulic control module, the adjusting sleeve is telescopically adjusted relative to the flow-aiding rod along its axial direction, so that the position height of the arch-breaking vertical rod corresponds to the position height at which the arch is easily formed.

[0016] The arch height correction prediction algorithm specifically includes:

[0017] It is known that under standard working conditions, the height of the position where arching is likely to occur during the unloading process of the cone silo is: H0;

[0018] The real-time humidity obtained by the humidity sensor is: H, and its input range is limited to between 0-100; the proportion of small particles obtained by the laser particle size analyzer is: f, where f is the volume fraction and the input range is limited to between 0-1, where small particles are defined as particles with a particle size smaller than the set threshold;

[0019] A humidity correction term is set. As the humidity of the granular material increases, the bonding force between the particles increases, which will cause the arch formation position to move downward. An exponential decay model is used to reflect the nonlinear effect: where k H is the humidity influence coefficient, n is the humidity nonlinear index, k H and n are calibrated by fitting experimental data;

[0020] Set the correction term for the influence of the proportion of small particles. The larger the proportion of small particles, the more contact points between particles, the greater the friction and cohesion between particles, the worse the fluidity of the material, and the more likely it is to form an arch at a lower position. The quadratic function model is used: ΔH f =-k f ·f 2 H0, where k f is the small particle influence coefficient, which is calibrated by fitting the experimental data.

[0021] An interaction correction term is established. Since the adhesion and filling effects are superimposed when humidity and small particles work together, a product term is used to represent it: where k int is the interaction coefficient, which was determined by orthogonal experiment.

[0022] The height of the location where the arch is likely to form is corrected to: H adj ;

[0023] Then H adj =H0+ΔH H +ΔH f +ΔH int , after substituting the correction terms into: When H adj <0, forced to take Hadj = 0, so that the arch position is not lower than the bottom of the warehouse; when H = 0 and f = 0, H adj =H0, return to standard working conditions.

[0024] Assuming that the material unloading speed is constant within the error range as v and the unloading duration is t, the arch height correction prediction algorithm uses the real-time humidity value H and the proportion of small particles f to estimate the static electricity accumulation Q during the unloading process;

[0025] As the proportion of small particles f increases, there are more friction contact points between particles, the chance of triboelectric charging increases, and the static electricity accumulation Q also increases, which conforms to the definition of a direct proportional relationship;

[0026] When the humidity value H increases, the water adsorbed in the particles forms a conductive film, which accelerates the leakage of static electricity and reduces the static accumulation Q, which conforms to the definition of an inverse proportional relationship.

[0027] Integrate the above two relationships into Where k is the static electricity generation coefficient, which is related to the friction characteristics of the granular material. For materials with obvious triboelectric charging, the k value increases; where m is the humidity suppression coefficient, which reflects the promoting effect of humidity on static electricity leakage.

[0028] The static electricity accumulation Q and the set threshold Q 阈值 Compare, when Q>Q 阈值 Provide information feedback.

[0029] Compared with the prior art, the present invention has the following beneficial effects:

[0030] The conical bin flow-aiding device of the present invention can adjust the position height of the arch-breaking vertical rod through structural settings, so that the arch-breaking vertical rod is at a position height where the arch frame is easier to form, thereby improving the working efficiency of the conical bin flow-aiding device, and the flow-aiding rod rotates to assist the flow and break the arch, which is quieter and noiseless than flow-aiding devices such as air cannons and air hammers.

[0031] In the process of pouring granular materials into the conical silo and unloading them through the conical silo, the granular materials will cause uneven particle size distribution and large humidity differences during storage. These two factors will significantly affect the height of the position where the arch is easily formed. The present invention uses an arch height correction prediction algorithm to predict the height of the position where the arch is easily formed under the influence of the two factors, so that the arch-breaking vertical rod is at the above-mentioned corresponding height, dynamically improving the working efficiency of the conical silo flow-aiding device.

[0032] The arch height correction prediction algorithm of the present invention uses the collected numerical values to estimate the amount of static electricity accumulation. When transporting some dusty and combustible particulate materials, it can issue an alarm or trigger static electricity elimination equipment when the estimated static electricity accumulation exceeds a certain threshold, thereby avoiding the risk of static electricity explosion and effectively reducing the cost of setting up additional static electricity sensors. BRIEF DESCRIPTION OF THE DRAWINGS

[0033] Figure 1 It is a structural schematic diagram of the conical silo flow-aiding device of the present invention.

[0034] Figure 2 It is a three-dimensional half-section schematic diagram of the conical silo flow-aiding device of the present invention.

[0035] Figure 3 for Figure 2 Enlarged schematic diagram of area A in the middle.

[0036] Figure 4 It is a three-dimensional half-section schematic diagram of the adjusting sleeve of the present invention.

[0037] In the figure: 1. device casing; 2. swing support; 3. docking block; 4. flow-aiding rod; 5. adjusting sleeve; 6. arch-breaking vertical rod; 401. hydraulic chamber; 402. rectangular through groove; 403. rectangular limit rod; 404. piston part; 405. liquid flow channel; 406. relay flow channel; 407. annular seat; 408. annular groove; 409. seat body flow channel; 410. docking screw; 101. large ring gear; 102. driving gear; 103. reducer shaft; 104. reduction box; 105. drive motor; 106. docking flange. DETAILED DESCRIPTION

[0038] The following will clearly and completely describe the technical solutions in the embodiments of the present invention in conjunction with the accompanying drawings. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without making creative efforts are within the scope of protection of the present invention.

[0039] See also Figures 1 to 4 The present invention provides a technical solution: a noiseless intelligent conical silo flow-aiding device, comprising a device housing 1, a slewing support 2 arranged inside the device housing 1, a docking block 3 fixedly mounted on the inner wall surface of the slewing support 2, and a flow-aiding rod 4 integrally fixed to the docking block 3. The slewing support 2 can rotate relative to the device housing 1, and the rotation of the slewing support 2 drives the flow-aiding rod 4 to rotate, thereby assisting the flow when the conical silo is unloading; the structure of the slewing support 2 is as follows Figure 2 As shown in , it is a cylindrical short tubular structure with an annular component fixed on the outside.

[0040] The end of the flow-assisting rod 4 is sleeved with an adjusting sleeve 5, and the surface of the adjusting sleeve 5 is fixedly provided with an arch-breaking vertical rod 6. Figure 2As shown in the figure, several groups of arch-breaking vertical rods 6 are provided, and the arch-breaking vertical rods 6 are perpendicular to the axis of the adjusting sleeve 5; the adjusting sleeve 5 can be telescopically adjusted relative to the flow-aiding rod 4 along its axial direction, so that the position height of the arch-breaking vertical rods 6 changes.

[0041] A hydraulic chamber 401 is provided inside the flow-aiding rod 4, and a rectangular through groove 402 is provided at the end of the hydraulic chamber 401. A rectangular limiting rod 403 is inserted into the rectangular through groove 402. Through the limiting cooperation between the rectangular limiting rod 403 and the rectangular through groove 402, the rectangular limiting rod 403 can only be telescopically moved along the length direction of the rectangular through groove 402. A gap is provided between the rectangular through groove 402 and the rectangular limiting rod 403 to allow gas to pass through.

[0042] A piston portion 404 is provided in sealing contact inside the hydraulic chamber 401, one end of the rectangular limiting rod 403 is fixed to the piston portion 404, and the other end is fixed to the adjusting sleeve 5; a liquid flow channel 405 is opened in the docking block 3 and the flow-aiding rod 4, and a relay flow channel 406 is opened in the swivel support 2, one end of the liquid flow channel 405 is connected to the hydraulic chamber 401, and the other end of the liquid flow channel 405 is sealed and connected to the relay flow channel 406.

[0043] An annular seat body 407 is fixedly provided inside the device casing 1, and an annular groove 408 is provided on the annular seat body 407. The annular seat body 407 is in sealing contact with the outer surface of the swivel support 2, and the swivel support 2 can rotate relative to the annular seat body 407. The relay flow channel 406 and the annular groove 408 remain connected during the rotation of the swivel support 2; a seat body flow channel 409 is provided in the annular seat body 407, and a docking screw port 410 is provided on the outside of the device casing 1, and the docking screw port 410 is connected to the annular groove 408 through the seat body flow channel 409.

[0044] A control system for a noiseless intelligent conical bin flow-aiding device, the system comprising a laser particle size analyzer, a humidity sensor, a computing and processing module, and a hydraulic control module;

[0045] The laser particle size analyzer is used to monitor the particle size distribution of the granular material in the cone silo in real time, and the humidity sensor is used to monitor the humidity of the granular material in the cone silo in real time. The laser particle size analyzer and the humidity sensor input the monitoring data into the calculation and processing module. The calculation and processing module is equipped with an arch height correction prediction algorithm. The arch height correction prediction algorithm calculates the change in the height of the position where the granular material is likely to form an arch when the humidity and particle size ratio change;

[0046] The calculation processing module includes a CPU unit and a storage unit, and the CPU unit extracts the program from the storage unit to perform calculations. The calculation processing module controls the hydraulic control module according to the output results of the arch height correction prediction algorithm, and the hydraulic control module allows the adjusting sleeve 5 to be telescopically adjusted relative to the flow-aiding rod 4 along its axial direction, thereby making the position height of the arch-breaking vertical rod 6 correspond to the position height at which the arch is easily formed. The hydraulic control module specifically includes a hydraulic cylinder unit, a servo motor system and a screw structure. The servo motor system drives the screw structure to operate, so that the quantitative rotation of the servo motor system is converted into quantitative linear movement, and the quantitative linear movement drives the piston in the hydraulic cylinder unit to move, thereby achieving quantitative control of the amount of hydraulic oil in the hydraulic chamber 401, and self-locking is achieved through the screw structure.

[0047] The arch height correction prediction algorithm specifically includes:

[0048] The real-time humidity obtained by the humidity sensor is: H, and its input range is limited to 0-100; the proportion of small particles obtained by the laser particle size analyzer is: f, where f is the volume fraction, and the input range is limited to 0-1, where small particles are defined as particles with a particle size smaller than the set threshold.

[0049] It is known that under standard operating conditions, the height of the location where arching is most likely to occur during the conical silo unloading process is: H0. Under these standard operating conditions, the conical silo shape and angle remain unchanged, the type of pellets remain unchanged, and the pellets are at maximum dryness, with a humidity value of 0. Small pellets account for a very small proportion, and when f is 0, the height H0 of the location where arching is most likely to occur during the conical silo unloading process is determined by averaging the results through multiple experiments.

[0050] At this point, since the type of granular material remains unchanged, other factors affecting the arch height, such as the material's internal friction angle and angle of repose, remain unchanged. The only factors most influencing the arch height are humidity and the proportion of small particles, which are also the factors most likely to change during actual material storage. It should be noted that the aforementioned values of humidity H at 0 and small particle proportion f at 0 do not mean that the granular material is completely dry and free of small particles. Instead, these values indicate that the material has reached maximum dryness and the proportion of small particles has reached a minimum.

[0051] A humidity correction term is set. As the humidity of the granular material increases, the bonding force between the particles increases, which will cause the arch formation position to move downward. An exponential decay model is used to reflect the nonlinear effect: where k H is the humidity influence coefficient, n is the humidity nonlinear index, k H Both n and n are calibrated by fitting experimental data. During fitting, granular materials with different humidity levels are prepared for experiments, and the corresponding arch heights are measured. Based on the formula And the actual measured value, use the least squares method to establish the objective function to find the minimum value, and you can use the gradient descent algorithm to iteratively solve it to get the k value that minimizes the objective function. H and n.

[0052] Set the correction term for the influence of the proportion of small particles. The larger the proportion of small particles, the more contact points between particles, the greater the friction and cohesion between particles, the worse the fluidity of the material, and the more likely it is to form an arch at a lower position. The quadratic function model is used: ΔH f =-k f ·f 2 H0, where k f The influence coefficient of small particles is calibrated by fitting experimental data. The specific control of small particle ratio is carried out at different levels, and the arch height is measured. According to the formula ΔH f =-k f ·f 2 H0, construct the objective function based on the error between the actual measured value and the theoretical calculated value, and find the k value that minimizes the objective function through the least squares method and the corresponding solution algorithm. f That's it.

[0053] An interaction correction term is established. Since the adhesion and filling effects are superimposed when humidity and small particles work together, a product term is used to represent it: where k int is the interaction coefficient, which is determined by orthogonal experiment; in the orthogonal experiment, different combinations of humidity and small particle ratio are set to conduct experiments, and the arch height is measured. Analyze the experimental data under different combinations and determine the k that minimizes the error between theoretical calculation and actual measurement. int .

[0054] The height of the location where the arch is likely to form is corrected to: H adj ;

[0055] Then H adj =H0+ΔH H +ΔH f +ΔH int , after substituting the correction terms into: When H adj <0, forced to take H adj = 0, so that the arch position is not lower than the bottom of the warehouse; when H = 0 and f = 0, H adj =H0, return to standard working conditions.

[0056] Assuming that the unloading speed is constant within the error range as v and the unloading duration is t, the arch height correction prediction algorithm uses the real-time humidity value H and the proportion of small particles f to estimate the static electricity accumulation Q during the unloading process;

[0057] As the proportion of small particles f increases, there are more friction contact points between particles, the chance of triboelectric charging increases, and the static electricity accumulation Q also increases, which conforms to the definition of a direct proportional relationship;

[0058] When the humidity value H increases, the water adsorbed in the particles forms a conductive film, which accelerates the leakage of static electricity and reduces the static accumulation Q, which conforms to the definition of an inverse proportional relationship.

[0059] Integrate the above two relationships into Among them, k is the static electricity generation coefficient, which is related to the friction characteristics of the granular material. For materials with obvious triboelectric charging, the k value increases; among them, m is the humidity suppression coefficient, which reflects the role of humidity in promoting static electricity leakage. The specific values of k and m need to be determined in advance through controlled variable experiments according to the different granular materials. First, k is determined. The experiment is carried out in an environment where the humidity H is relatively stable and low. At this time, the humidity has little effect on the static electricity accumulation. It can be approximately considered that mH has little effect on the results. Temporarily ignore the influence of humidity. By changing factors such as the small particle proportion f, the feeding speed v, and the feeding time t, the static electricity accumulation Q is measured. According to the formula At this time, 1+mH≈1, and then through Calculate k and take the average value of multiple experiments to obtain a relatively accurate k value.

[0060] After k is determined, the proportion of small particles f, the feeding speed v, and the feeding time t are fixed, the humidity H is changed, and the static electricity accumulation Q under different humidity conditions is measured. Substitute the known k, f, v, t, and the measured Q into Get m.

[0061] The static electricity accumulation Q and the set threshold Q 阈值 Compare, when Q>Q 阈值 Provide information feedback.

[0062] like Figure 2 As shown in FIG, a large gear ring 101 is provided in the device housing 1, and the slewing support 2 is fixedly installed coaxially with the large gear ring 101, and the slewing support 2 is driven to rotate by the large gear ring 101.

[0063] The device housing 1 is provided with a driving gear 102, which meshes with the large ring gear 101. A reduction gear 104 is fixedly provided on the outside of the device housing 1. The reduction gear 104 is provided with a drive motor 105. The reduction gear shaft 103 is provided in the reduction gear 104. The reduction gear shaft 103 is inserted into the device housing 1 and is transmission-connected to the slewing support 2. When the drive motor 105 is running, the driving gear 102 can be driven to decelerate through the reduction gear 104 and the reduction gear shaft 103. The driving gear 102 drives the large ring gear 101 to rotate through meshing, causing the slewing support 2 to rotate, and the slewing support 2 drives the flow-aiding rod 4 to rotate, breaking the arch and aiding the flow of the granular material at the discharge port of the cone silo.

[0064] The upper and lower parts of the device casing 1 are symmetrically provided with docking flanges 106. The docking flange 106 at the upper position is connected to the bottom of the cone bin, and the docking flange 106 at the lower position is connected to the downstream particle material receiving equipment.

[0065] The hydraulic control module is connected to the docking screw 410, as shown in FIG. Figure 3 As shown in the figure, the docking screw 410 is connected to the liquid flow channel 405 through the seat body flow channel 409, the annular groove 408 and the relay flow channel 406 in sequence, so that the hydraulic control module can control the amount of hydraulic oil in the hydraulic chamber 401. The cross-sectional area of the piston part 404 is known. By controlling the amount of hydraulic oil in the hydraulic chamber 401, the position of the piston part 404 in the hydraulic chamber 401 can be controlled, and then the adjustment height of the arch-breaking vertical rod 6 can be calculated according to the bending angle of the flow-aiding rod 4.

[0066] While embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that various changes, modifications, substitutions, and variations may be made to these embodiments without departing from the principles and spirit of the invention, and that the scope of the invention is defined by the appended claims and their equivalents.

Claims

1. A noiseless intelligent conical silo flow-aiding device, comprising a device housing, a slewing support disposed within the device housing, a docking block fixedly mounted to the inner wall surface of the slewing support, and a flow-aiding rod integrally fixed to the docking block, characterized in that: The slewing support can rotate relative to the device housing, and the rotation of the slewing support drives the flow-aiding rod to rotate, thereby assisting the flow when the conical silo is unloading; The end of the flow-aiding rod is sleeved with an adjusting sleeve, and an arch-breaking vertical rod is fixedly provided on the surface of the adjusting sleeve; the adjusting sleeve can be telescopically adjusted relative to the flow-aiding rod along its axial direction, so that the position height of the arch-breaking vertical rod can be changed.

2. The noiseless intelligent conical silo flow-aiding device according to claim 1 is characterized in that: A hydraulic chamber is provided inside the flow-assisting rod, and a rectangular through-slot is provided at the end of the hydraulic chamber. A rectangular limiting rod is inserted into the rectangular through-slot. Through the limiting cooperation between the rectangular limiting rod and the rectangular through-slot, the rectangular limiting rod can only be telescopically moved along the length direction of the rectangular through-slot.

3. The noiseless intelligent conical silo flow-aiding device according to claim 2, characterized in that: The hydraulic chamber is provided with a piston portion in sealing contact therewith, one end of the rectangular limiting rod is fixed to the piston portion, and the other end is fixed to the adjusting sleeve; A liquid flow channel is provided in the docking block and the flow-assisting rod, a relay flow channel is provided in the swivel support, one end of the liquid flow channel is communicated with the hydraulic cavity, and the other end of the liquid flow channel is sealed and docked with the relay flow channel.

4. The noiseless intelligent conical silo flow-aiding device according to claim 3 is characterized in that: An annular seat is fixedly disposed inside the housing of the device. An annular groove is formed on the annular seat. The annular seat is in sealing contact with the outer surface of the gyroscopic support. The gyroscopic support is rotatable relative to the annular seat. The relay flow channel and the annular groove remain in communication during the rotation of the gyroscopic support. A seat flow channel is provided in the annular seat body, and a docking screw port is provided on the outside of the device housing. The docking screw port is communicated with the annular groove through the seat flow channel.

5. The control system of the noiseless intelligent conical silo flow-aiding device according to any one of claims 1 to 4, characterized in that: The system includes a laser particle size analyzer, a humidity sensor, a computing and processing module, and a hydraulic control module; The laser particle size analyzer is used to monitor the particle size distribution of the granular material in the conical bin in real time, and the humidity sensor is used to monitor the humidity of the granular material in the conical bin in real time. The laser particle size analyzer and the humidity sensor input the monitoring data into the calculation processing module, and the calculation processing module is provided with an arch height correction prediction algorithm. The arch height correction prediction algorithm calculates the change in the height of the position where the granular material is likely to form an arch when the humidity and particle size ratio change; The calculation and processing module controls the hydraulic control module according to the output result of the arch height correction prediction algorithm, and through the hydraulic control module, the adjusting sleeve is telescopically adjusted relative to the flow-aiding rod along its axial direction, so that the position height of the arch-breaking vertical rod corresponds to the position height at which the arch is easily formed.

6. The control system of the noiseless intelligent conical silo flow-aiding device according to claim 5 is characterized in that: The arch height correction prediction algorithm specifically includes: It is known that under standard working conditions, the height of the position where arching is likely to occur during the unloading process of the cone silo is: H0; The real-time humidity obtained by the humidity sensor is: H, and its input range is limited to between 0-100; the proportion of small particles obtained by the laser particle size analyzer is: f, where f is the volume fraction and the input range is limited to between 0-1, where small particles are defined as particles with a particle size smaller than the set threshold; A humidity correction term is set. As the humidity of the granular material increases, the bonding force between the particles increases, which will cause the arch formation position to move downward. An exponential decay model is used to reflect the nonlinear effect: where k H is the humidity influence coefficient, n is the humidity nonlinear index, k H and n are calibrated by fitting experimental data; Set the correction term for the influence of the proportion of small particles. The larger the proportion of small particles, the more contact points between particles, the greater the friction and cohesion between particles, the worse the fluidity of the material, and the more likely it is to form an arch at a lower position. The quadratic function model is used: ΔH f =-k f ·f 2 H0, where k f is the small particle influence coefficient, which is calibrated by fitting the experimental data.

7. The control system of the noiseless intelligent conical silo flow-aiding device according to claim 6 is characterized in that: An interaction correction term is established. Since the adhesion and filling effects are superimposed when humidity and small particles work together, a product term is used to represent it: where k int is the interaction coefficient, which was determined by orthogonal experiment.

8. The control system of the noiseless intelligent conical silo flow-aiding device according to claim 7 is characterized in that: The height of the location where the arch is likely to form is corrected to: H adj ; Then H adj =H0+ΔH H +ΔH f +ΔH int , after substituting the correction terms into: When H adj <0, forced to take H adj = 0, so that the arch position is not lower than the bottom of the warehouse; when H = 0 and f = 0, H adj =H0, return to standard working conditions.

9. The control system of the noiseless intelligent conical silo flow-aiding device according to claim 6 is characterized in that: Assuming that the material unloading speed is constant within the error range as v and the unloading duration is t, the arch height correction prediction algorithm uses the real-time humidity value H and the proportion of small particles f to estimate the static electricity accumulation Q during the unloading process; As the proportion of small particles f increases, there are more friction contact points between particles, the chance of triboelectric charging increases, and the static electricity accumulation Q also increases, which conforms to the definition of a direct proportional relationship; When the humidity value H increases, the water adsorbed in the particles forms a conductive film, which accelerates the leakage of static electricity and reduces the static accumulation Q, which conforms to the definition of an inverse proportional relationship. Integrate the above two relationships into Where k is the static electricity generation coefficient, which is related to the friction characteristics of the granular material. For materials with obvious triboelectric charging, the k value increases; where m is the humidity suppression coefficient, which reflects the promoting effect of humidity on static electricity leakage.

10. The control system of the noiseless intelligent conical silo flow-aiding device according to claim 9 is characterized in that: The static electricity accumulation Q and the set threshold Q 阈值 Compare, when Q>Q 阈值 Provide information feedback.

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