Dust removal control method of silo dust removal system, silo dust removal system and mixing station

Abstract

This application relates to a dust control method for a silo dust removal system, a silo dust removal system, and a mixing plant. The silo dust removal system includes a target pipeline and a suction device. The target pipeline is connected to the exhaust port of the silo and is used to extract airflow from the silo under the pipeline air pressure provided by the suction device. The method includes: determining the dust condition index of the silo based on the dust concentration inside the silo, the material storage location, and the pipeline air pressure of the target pipeline; determining the target valve opening of the target pipeline based on the dust condition index; and controlling the valve opening of the target pipeline based on the target valve opening. The technical solution of this application uses three coupled influencing variables—the dust concentration inside the silo, the material storage location, and the pipeline air pressure of the target pipeline—to determine the dust condition index of the silo, and controls the valve opening of the target pipeline based on the dust condition index. This allows the valve opening to adaptively match the real-time dust load, thereby improving the dust removal effect of the silo.

Description

Technical Field

[0001] This application relates to the field of dust removal technology in storage, specifically to a dust control method for a silo dust removal system, a silo dust removal system, and a mixing plant. Background Technology

[0002] Currently, most silos are equipped with dust removal systems. These systems rely on induced draft fans to provide negative pressure, drawing dust-laden airflow from the silo to filter bags. After the dust is trapped by the bags, clean exhaust gas is discharged. However, the dust load in the silo fluctuates dynamically during different stages such as feeding and unloading. Currently, the induced draft fans in silo dust removal systems typically operate at a constant speed or are manually controlled. This crude control method cannot dynamically adjust the suction force of the dust-laden airflow within the silo, making it difficult to guarantee the dust removal effect. Summary of the Invention

[0003] To address the aforementioned technical problems, this application provides a dust control method for a silo dust removal system, a silo dust removal system, and a mixing plant, in order to improve the dust removal effect of the silo.

[0004] To address the aforementioned technical problems, this application provides a dust control method for a silo dust removal system. The silo dust removal system includes a target pipeline and a suction device. The target pipeline is connected to the silo's exhaust port and is used to extract airflow from the silo under the pressure of the pipeline provided by the suction device. The method includes: Based on the dust concentration inside the silo and the location of the material storage, as well as the pipeline air pressure of the target pipeline, the dust condition index of the silo is determined. Based on the dust condition index, determine the target valve opening of the target pipeline; Based on the target valve opening, the valve opening of the target pipeline is controlled.

[0005] In some embodiments, there are multiple hoppers; each hopper's exhaust port is connected to a branch pipe; all the branch pipes converge and connect to the main pipe in the hopper dust removal system; the target pipe is a branch pipe. Determining the target valve opening of the target pipeline based on the dust condition index includes: Monitor the growth rate of the dust condition index in the first silo; In response to the fact that the dust condition index of the first silo increases by more than a preset amount and the dust condition index of the second silo is less than the preset dust condition index, the target valve opening of the first branch pipeline is determined; the target valve opening of the first branch pipeline is greater than the current valve opening of the first branch pipeline; and the target valve opening of the second branch pipeline is determined based on the pipeline air pressure of the main pipeline. The first branch pipe and the second branch pipe are respectively branch pipes connected to the exhaust ports of the first silo and the second silo.

[0006] In some embodiments, the suction device is disposed in the main pipeline; determining the target valve opening of the second branch pipeline based on the pipeline air pressure of the main pipeline includes: In response to the main pipeline's air pressure being equal to an air pressure threshold, a target valve opening for the second branch pipeline is determined; the target valve opening for the second branch pipeline is less than the current valve opening for the second branch pipeline. In response to the main pipeline air pressure being less than the air pressure threshold, the current valve opening of the second branch pipeline is determined as the target valve opening of the second branch pipeline; The method further includes: After determining the current valve opening of the second branch pipeline as the target valve opening of the second branch pipeline, the operating frequency of the suction device is increased.

[0007] In some embodiments, there are multiple hoppers; each hopper's exhaust port is connected to a branch pipe; all the branch pipes converge and connect to the main pipe of the hopper dust removal system; the target pipe is the branch pipe; and the suction device is disposed in the main pipe. After determining the dust condition index of the silo based on the dust concentration inside the silo, the material storage location, and the pipeline air pressure of the target pipeline, the method further includes: Monitor changes in the target dust condition index; the target dust condition index is determined based on the average dust condition index of multiple silos; In response to the change indicating that the target dust condition index increases and the pipeline air pressure of the main pipeline is lower than the air pressure threshold, the operating frequency of the suction device is increased. In response to the change indicating a decrease in the target dust condition index, the operating frequency of the suction device is reduced.

[0008] In some embodiments, the silo dust removal system further includes a dust collector bag and a blow valve; the dust collector bag is used to filter the airflow discharged from the silo; the blow valve is used to guide the airflow to blow the dust trapped by the dust collector bag back into the silo. After determining the dust condition index of the silo based on the dust concentration inside the silo, the material storage location, and the pipeline air pressure of the target pipeline, the method further includes: In response to the pressure difference within the silo exceeding a preset pressure difference, the pulse purging valve is controlled to perform a pulse purging action at a first value of a target operating parameter; the target operating parameter includes at least one of pulse purging pressure and pulse purging frequency; or Based on the dust condition index of the silo, a second value of the target operating parameter is determined; the jet valve is controlled to perform a pulse purging action with the second value of the target operating parameter; the second value is positively correlated with the dust condition index of the silo.

[0009] In some embodiments, determining the dust condition index of the silo based on the dust concentration inside the silo, the material storage location, and the pipeline air pressure of the target pipeline includes: Based on the working mode of the silo, the weighting coefficients of the dust concentration in the silo, the material storage location, and the pipeline air pressure are determined; The dust condition index of the silo is determined based on the dust concentration in the silo, the location of the material storage, the pipeline air pressure, and the weighting coefficient.

[0010] In some embodiments, determining the target valve opening of the target pipeline based on the dust condition index includes: Based on the preset index range to which the dust condition index belongs, the target dust condition level of the silo is determined; Based on the preset correspondence between dust condition level and valve opening, the target valve opening corresponding to the target dust condition level is determined.

[0011] This application also provides a silo dust removal system, including a target pipeline, a suction device, and a controller; The target pipeline is connected to the exhaust port of the silo and is used to extract the airflow in the silo under the pipeline air pressure provided by the suction device. The controller includes a memory and a processor. The memory stores a computer program, which is executed by the processor to implement the dust removal control method described above.

[0012] In some embodiments, the dust removal system for the silo further includes a dust baffle assembly; the dust baffle assembly is disposed between the air inlet and the exhaust outlet of the silo. The dust baffle assembly includes multiple baffles arranged in parallel along the airflow direction; each baffle extends in a bent shape along the airflow direction.

[0013] This application also provides a material mixing plant, which includes a silo and the aforementioned silo dust removal system.

[0014] This application discloses a dust control method, a dust removal system, and a mixing plant for a silo dust removal system. The method includes: determining a dust condition index for the silo based on the dust concentration inside the silo, the material storage location, and the pipeline air pressure of the target pipeline; determining a target valve opening for the target pipeline based on the dust condition index; and controlling the valve opening of the target pipeline based on the target valve opening. The technical solution of this application uses three coupled influencing variables—dust concentration inside the silo, material storage location, and pipeline air pressure of the target pipeline—to determine the dust condition index for the silo, and controls the valve opening of the target pipeline based on the dust condition index. This allows the valve opening to adaptively match the real-time dust load, thereby improving the dust removal effect of the silo. Attached Figure Description

[0015] Figure 1 This is a schematic flowchart illustrating a dust control method for a silo dust removal system according to one embodiment.

[0016] Figure 2 This is a schematic diagram of a dust baffle assembly according to one embodiment.

[0017] Figure 3 This is a schematic diagram of the system architecture of a silo dust removal system according to one embodiment.

[0018] Figure 4 This is a schematic diagram illustrating the specific process of a dust control method for a silo dust removal system according to an embodiment.

[0019] Figure 5 This is a schematic diagram of the hardware architecture of a silo dust removal system according to one embodiment.

[0020] Figure 6 This is a schematic diagram of the controller structure according to one embodiment. Detailed Implementation

[0021] To facilitate understanding of this application, a more complete description will be provided below with reference to the accompanying drawings. Preferred embodiments of this application are shown in the drawings. However, this application can be implemented in many different forms and is not limited to the embodiments described herein. Rather, these embodiments are provided to provide a more thorough and complete understanding of the disclosure of this application.

[0022] Unless otherwise defined, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this application belongs. The terminology used herein is for the purpose of describing particular embodiments only and is not intended to be limiting of the application. The term "and / or" as used herein includes any and all combinations of one or more of the associated listed items. In this application, "each" includes one or more items.

[0023] Figure 1 This is a schematic flowchart illustrating a dust control method for a silo dust collection system according to one embodiment. The silo dust collection system may include a target pipeline and a suction device; the target pipeline is connected to the silo's exhaust port and can be used to extract airflow from the silo under the pipeline air pressure provided by the suction device. Figure 1 As shown, a dust control method for a silo dust collection system according to this application may include the following steps: S1, based on the dust concentration inside the silo and the location of the material storage, as well as the pipeline air pressure of the target pipeline, determine the dust condition index of the silo. S2, based on the dust condition index, determines the target valve opening degree of the target pipeline; S3 controls the valve opening of the target pipeline based on the target valve opening.

[0024] The dust concentration inside the silo can be obtained by a dust concentration detector installed inside the silo; the material storage location can be obtained by a silo level sensor installed inside the silo; and the pipeline air pressure of the target pipeline can be obtained by an air pressure and flow sensor installed in the air duct of the target pipeline.

[0025] In practice, the raw data collected by each sensor can first be processed using a 3D algorithm. After preprocessing and data normalization using the gross error elimination algorithm, a weighted fusion modeling calculation is performed to obtain the dust condition index of the silo.

[0026] After determining the dust condition index of the silo, the preset correspondence between the dust condition index and valve opening can be looked up to determine the target valve opening for the target pipeline. Alternatively, the target valve opening for the target pipeline can be determined based on changes in the dust condition index of the silo. For example, if the dust condition index of the silo increases, the target valve opening can be greater than the current valve opening of the target pipeline; if the dust condition index of the silo decreases, the target valve opening can be less than the current valve opening of the target pipeline.

[0027] In some embodiments, the current valve opening of the target pipeline can be kept unchanged when the current valve opening of the target pipeline is the same as the target valve opening; or the current valve opening of the target pipeline can be adjusted to the target valve opening when the current valve opening of the target pipeline is different from the target valve opening.

[0028] This embodiment represents a two-stage dust removal system for a silo. In practice, the two-stage dust removal can be implemented on top of the primary dust removal system for the silo. Optionally, the primary dust removal can be achieved by using a dust baffle assembly installed inside the silo to trap large dust particles.

[0029] In this way, by using three coupled influencing variables—the dust concentration inside the silo, the material storage location, and the pipeline air pressure of the target pipeline—the dust condition index of the silo is determined. Based on the dust condition index, the valve opening of the target pipeline is controlled, so that the valve opening can be adaptively matched according to the real-time dust load, thereby improving the dust removal effect of the silo.

[0030] In some embodiments, step S1 above, determining the dust condition index of the silo based on the dust concentration inside the silo, the material storage location, and the pipeline air pressure of the target pipeline, includes: Based on the working mode of the silo, the weighting coefficients of dust concentration in the silo, material storage location and pipeline air pressure are determined. The dust condition index of the silo is determined based on the dust concentration in the silo, the location of the material storage, the pipeline air pressure, and the weighting coefficient.

[0031] The silo's operating modes can include a feeding / unloading production mode and a static storage mode. In practice, when the silo is in feeding / unloading production mode, the weighting coefficients for dust concentration within the silo, material storage location, and pipeline air pressure can be set to 0.5, 0.25, and 0.25, respectively. When the silo is in static storage mode, compared to the feeding / unloading production mode, the weighting coefficient for dust concentration within the silo can be lowered, and the weighting coefficient for material storage location can be increased.

[0032] After determining the weighting coefficients, a weighted calculation can be performed based on the dust concentration in the silo, the location of the material storage, the pipeline air pressure, and the weighting coefficients to obtain the dust condition index S of the silo. The value of S can range from 0 to 1.

[0033] In this way, the accuracy of determining the dust condition index of the silo can be improved by considering three coupled influencing variables: the dust concentration inside the silo, the material storage location, and the pipeline air pressure of the target pipeline.

[0034] Optionally, the aforementioned silo dust collection system also includes filter bags and blow valves. The filter bags are used to filter the airflow discharged from the silo. The blow valves are used to direct the airflow, blowing the dust trapped by the filter bags back into the silo.

[0035] In some embodiments, after determining the dust condition index of the silo based on the dust concentration inside the silo, the material storage location, and the pipeline air pressure of the target pipeline in step S1, the method further includes: In response to a pressure differential within the silo exceeding a preset pressure differential, the control valve performs a pulse purging action at a first value of the target operating parameters; the target operating parameters include at least one of purging pressure and purging frequency; or Based on the dust condition index of the silo, a second value of the target operating parameter is determined; the pulse purging valve is controlled to perform pulse purging action at the second value of the target operating parameter; the second value is positively correlated with the dust condition index of the silo.

[0036] The pressure difference within the silo can characterize the difference between the internal and external pressures of the silo, and can also be used to characterize the difference between the inlet and outlet pressures of the silo. When the pressure difference within the silo is higher than the preset pressure difference, the pulse jet valve can be controlled to perform a pulse purging action at the first value of the target operating parameters to blow the dust trapped by the dust collector bags back into the silo.

[0037] Furthermore, based on the dust condition index of the silo, the correspondence between preset dust condition indices and target operating parameter values ​​can be queried to obtain a second value for the target operating parameter. Alternatively, based on the preset index range to which the dust condition index of the silo belongs, the correspondence between preset dust condition parameter index ranges and target operating parameter values ​​can be queried to obtain a second value for the target operating parameter.

[0038] Optionally, the first and second values ​​mentioned above can be the same or different. In actual implementation, the larger of the first and second values ​​can be used to control the pulse purging action of the jet valve. Optionally, the jet frequency mentioned above can be calculated based on the dust removal interval. The target operating parameters can be selected as follows: When the dust condition index S falls within the preset index range of S≤0.3, the dust cleaning interval can be 30min / 60min and the blowing pressure can be 0.3MPa; when the dust condition index S falls within the preset index range of 0.4<S<0.7, the dust cleaning interval can be 10min / 20min and the blowing pressure can be 0.4MPa; when the dust condition index S falls within the preset index range of S≥0.7 or the pressure difference inside the silo is higher than the preset pressure difference, the dust cleaning interval can be shortened to 2min~5min and the blowing pressure can be 0.5MPa.

[0039] This embodiment can be described as a three-stage dust removal system for silos. In actual implementation, a three-stage dust removal system can be achieved on the basis of a two-stage dust removal system for silos.

[0040] Thus, by using dust collector bags to finely filter the airflow discharged from the silo, the dust removal effect of the silo can be further improved; in addition, based on the value of the target operating parameters that match the pressure difference or dust condition index inside the silo, the jet valve can be controlled to blow the dust trapped by the filter bags back into the silo, which can save energy and reduce consumption.

[0041] Optionally, there may be multiple silos; each silo's exhaust port can be connected to a branch pipe; the branch pipes can converge and connect to the main pipe of the silo dust removal system. The target pipe can be a branch pipe. The suction device can be installed in the main pipe.

[0042] In some embodiments, after determining the dust condition index of the silo based on the dust concentration inside the silo, the material storage location, and the pipeline air pressure of the target pipeline in step S1, the method further includes: Monitor changes in the target dust condition index; the target dust condition index is determined based on the average dust condition index of multiple silos; In response to changes in the target dust condition index, which increases and the main pipeline air pressure is below the air pressure threshold, the operating frequency of the suction device is increased. In response to a decrease in the target dust condition index, the operating frequency of the suction device is reduced.

[0043] In practice, the dust condition index of each silo at a certain moment within a preset time period can be obtained, and the average of the dust condition indices of multiple silos at that moment can be directly determined as the target dust condition index for that moment. Alternatively, further calculations can be performed based on this average to obtain the target dust condition index for that moment. After determining the target dust condition index, the changes in the target dust condition index can be determined by comparing the target dust condition indices at multiple moments within the preset time period.

[0044] After determining the changes in the target dust condition index, the changes in the pipeline air pressure of the main pipeline and the target dust condition index can be used as the dual closed-loop inputs of the fuzzy proportional-integral-derivative (PID) controller. If the changes indicate that the target dust condition index is increasing and the pipeline air pressure of the main pipeline is lower than the air pressure threshold, the operating frequency of the suction device can be increased; if the changes indicate that the target dust condition index is decreasing, the operating frequency of the suction device can be decreased.

[0045] This embodiment can be described as a four-stage dust removal system for silos. In actual implementation, a four-stage dust removal system can be achieved on the basis of a three-stage dust removal system for silos.

[0046] In this way, the air pressure of each branch pipeline can be matched with the dust load, achieving the optimal balance between dust removal effect and energy consumption. It can also balance the air pressure of each branch pipeline from the source of the main pipeline, avoiding the problems of airflow collision and air pressure disorder in multiple silos.

[0047] In practice, two or more dust removal methods can be selected as needed based on the characteristics of dust on site and environmental emission requirements, and adaptive intelligent control can be achieved by linking with the dust condition index.

[0048] In some embodiments, step S2 above, determining the target valve opening of the target pipeline based on the dust condition index, includes: Monitor the growth rate of the dust condition index in the first silo; In response to the fact that the dust condition index of the first silo increases by more than the preset range and the dust condition index of the second silo is less than the preset dust condition index, the target valve opening of the first branch pipeline is determined; the target valve opening of the first branch pipeline is greater than the current valve opening of the first branch pipeline; and the target valve opening of the second branch pipeline is determined based on the pipeline air pressure of the main pipeline. Among them, the first branch pipe and the second branch pipe are branch pipes connected to the exhaust ports of the first silo and the second silo, respectively.

[0049] In practice, the growth rate of the dust condition index of the first silo can be calculated based on multiple dust condition indices determined within a preset time period. Optionally, the preset range and the preset dust condition index can be obtained through calibration. If the growth rate of the dust condition index of the first silo is greater than the preset range, it can indicate that the dust condition index of the first silo has suddenly increased and entered a high dust condition. If the dust condition index of the second silo is less than the preset dust condition index, it can indicate that the second silo is in a low dust condition.

[0050] If the dust index in the first silo suddenly increases to a high-dust condition while the second silo is in a low-dust condition, the valve opening of the first branch pipe in the first silo can be increased first to improve the airflow and dust removal efficiency. For the second silo in a low-dust condition, the target valve opening can be determined based on the main pipe's air pressure to dynamically redirect airflow to the high-dust silo.

[0051] In this way, the dust removal effect of the high dust silo can be improved by dynamically diverting airflow to the high dust silo without affecting the dust removal effect of the low dust silo.

[0052] In some embodiments, determining the target valve opening of the second branch pipeline based on the pipeline air pressure of the main pipeline includes: In response to the main pipeline air pressure being equal to the air pressure threshold, the target valve opening of the second branch pipeline is determined; the target valve opening of the second branch pipeline is less than the current valve opening of the second branch pipeline. In response to the main pipeline air pressure being less than the air pressure threshold, the current valve opening of the second branch pipeline is determined as the target valve opening of the second branch pipeline; The dust control method provided in this application embodiment may further include: After determining the current valve opening of the second branch pipeline as the target valve opening of the second branch pipeline, increase the operating frequency of the suction device.

[0053] In practice, the air pressure and flow sensor installed in the main pipeline can be used to collect the pipeline air pressure in real time. If the pipeline air pressure in the main pipeline is equal to the air pressure threshold, the target valve opening of the second branch pipeline can be reduced to achieve dynamic flow of air from the low dust silo to the high dust silo.

[0054] If the air pressure in the main pipeline is less than the air pressure threshold, the current valve opening of the second branch pipeline can be kept unchanged, and the air volume of the high dust silo can be increased by increasing the operating frequency of the suction device.

[0055] Thus, based on the relationship between the pipeline air pressure and the air pressure threshold of the main pipeline, different airflow diversion strategies can be adopted to improve the dust removal effect of the high dust silo without affecting the dust removal effect of the low dust silo.

[0056] In some embodiments, step S2 above, determining the target valve opening of the target pipeline based on the dust condition index, includes: Based on the preset index range to which the dust condition index belongs, the target dust condition level of the silo is determined; Based on the preset correspondence between dust condition level and valve opening, the target valve opening corresponding to the target dust condition level is determined.

[0057] In practical implementation, the following dust condition index ranges can be pre-defined: 0 < S ≤ 0.2, 0.2 < S ≤ 0.4, 0.4 < S ≤ 0.6, 0.6 < S ≤ 0.8, S > 0.8. The dust condition index ranges and dust condition levels can have the following pre-defined correspondence: Class I (0 < S ≤ 0.2, trace dust), Class II (0.2 < S ≤ 0.4, low-load dust), Class III (0.4 < S ≤ 0.6, conventional production dust), Class IV (0.6 < S ≤ 0.8, high-discharge dust), Class V (S > 0.8, high-risk dust exceeding limits).

[0058] The following preset correspondence exists between dust condition levels and valve opening degrees: For Class I and II trace dust, the valve opening should be 20%~30% (throttling operation); for Class III conventional dust, the valve opening should be 60% / 70%; and for Class IV and V high dust, the valve opening should be 100%.

[0059] In this way, based on the determined target valve opening, the flow rate of the branch pipes can be allocated as needed, avoiding excess airflow in the low dust silo from crowding out the negative pressure in the pipes.

[0060] Optionally, if the increase in the dust condition index of the first silo exceeds a preset range, the judgment can be based on the specific value of the dust condition index of the first silo, or on the dust condition level corresponding to the dust condition index of the first silo. Similarly, if the dust condition index of the second silo is less than a preset dust condition index, the judgment can be based on the specific value of the dust condition index of the second silo, or on the dust condition level corresponding to the dust condition index of the second silo. The dust condition level can be determined based on a preset index range to which the dust condition index belongs.

[0061] In practice, for multiple silos, if the dust condition level of one silo suddenly increases from level I / II to level IV / V, the valve opening of the branch pipes of that silo can be increased first to improve the airflow in that silo. If the air pressure in the main pipeline is less than the air pressure threshold, the valve opening of the branch pipes of other silos with dust condition levels I / II can be slightly reduced simultaneously to throttle and supplement air, achieving dynamic airflow diversion from low-dust silos to high-dust silos.

[0062] Based on the same inventive concept as the foregoing embodiments, this application also provides a silo dust removal system, which may include a target pipeline, a suction device, and a controller.

[0063] The target pipeline is connected to the exhaust port of the silo, which can be used to extract the airflow in the silo under the pipeline air pressure provided by the suction device. The controller may include a memory and a processor. The memory stores a computer program, and when the computer program is executed by the processor, it implements the dust removal control method of the above-mentioned silo dust removal system.

[0064] In some embodiments, the silo dust removal system further includes a dust baffle assembly; the dust baffle assembly can be disposed between the air inlet and the exhaust outlet of the silo; the dust baffle assembly can include multiple baffles arranged in parallel along the airflow direction; each baffle extends in a bent shape along the airflow direction.

[0065] Please see Figure 2 In (a) and (b), the dust baffle assembly can be installed between the air inlet a and the exhaust outlet b of the silo. The airflow A entering from the air inlet a flows towards the exhaust outlet along the channel between multiple parallel baffles B. Since the baffles B extend in a bent shape along the airflow direction, when the airflow A passes through this channel, the large dust particles C carried by it will be intercepted by the baffles and trapped in the silo. This can reduce the dust load of the downstream dust removal in advance, thereby further improving the dust removal effect of the silo.

[0066] The dust control method provided in this application embodiment can be applied to, for example... Figure 3The dust removal system shown is for a silo. This system may include: a multi-source sensing unit, an adaptive collaborative main control unit, a hierarchical dust removal execution unit, and a cloud-based remote operation and maintenance unit, enabling simultaneous dust removal for multiple silos.

[0067] Optionally, the aforementioned suction device can be a variable frequency induced draft fan. The staged dust removal execution unit can consist of an inertial pre-separation structure for dust in the silo, opening regulating valves (which can be pneumatic regulating valves) respectively installed in multiple branch pipelines, a variable frequency induced draft fan installed in the main pipeline, and a pulse dust removal box; the inertial pre-separation structure for dust in the silo can be the aforementioned dust baffle assembly; the pulse dust removal box can be installed on the top of one of the silos, and can be equipped with dust collection bags and high-frequency electromagnetic jet valves. In this way, a four-layer staged dust removal architecture is established, consisting of in-silo dust suppression and pre-dust removal, pipeline diversion and control, bag fine filtration, and negative pressure induced draft exhaust. Large dust particles can be intercepted and separated in advance to reduce the dust load of the downstream dust removal box, and then after fine filtration by the bag filters, the dust is discharged in compliance with standards through negative pressure induced draft exhaust, thus treating the dust step by step and achieving better dust removal effect.

[0068] The multi-source sensing unit can include various sensing components deployed inside the silo cavity, branch pipes (also known as dust removal branch pipes), main pipes (also known as dust removal main pipes), and pulse dust removal box. It is used to collect operating condition data such as dust concentration, pressure difference, material storage location, and pipeline air pressure in the silo in all directions and in real time, and to complete the synchronous summary and uploading of multi-dimensional data.

[0069] Graded dust removal actuator: Level 1: In-warehouse dust suppression + inertial pre-separation. The interior of the warehouse is equipped with a baffle-type inertial dust baffle structure. Coarse dust particles ≥1mm are trapped in the warehouse by the dust baffle, reducing the dust load of the downstream dust removal by more than 30% in advance.

[0070] Level 2: Dust removal by pipeline diversion and regulation. Based on the dust condition index S of a single silo, the valve opening of the corresponding branch pipeline is continuously adjusted to avoid excess airflow in low dust silos crowding out the negative pressure in the pipeline.

[0071] Level 3: Pulse bag filter for fine filtration. High-frequency electromagnetic jet valves blow the dust trapped in the filter bags back into the hopper. This method abandons the traditional timed control jet valves that use fixed parameters for purging. Instead, it controls the jet valves to perform pulse purging based on the dust condition index or pressure difference within the hopper, thus saving energy and reducing consumption. Level 4: The main pipe uses negative pressure to draw in and exhaust air. The main pipe air pressure and the average dust condition index of each branch pipe are used as the main control parameters. The operating frequency of the fan is continuously adjusted by fuzzy PID closed loop, so that the negative pressure of the system dynamically matches the dust load, achieving the optimal balance between dust removal effect and energy consumption. The purified exhaust gas meets the standards for external discharge.

[0072] The adaptive collaborative main control unit can take the form of an adaptive main control cabinet. It can use an edge programmable controller as the core control carrier, embedding a multi-parameter data fusion calculation model, a fuzzy PID adaptive control algorithm, and a multi-bin collaborative balancing scheduling program. The main control unit receives real-time data from all multi-source sensing units, integrates and compares it, autonomously determines the current dust load, intelligently adjusts the operating frequency of the induced draft fan in real-time, dynamically changes the pulse cleaning interval, cleaning air pressure, and purging frequency, synchronously controls the opening of pneumatic regulating valves in each branch pipeline, and uniformly coordinates the airflow distribution of all dust collection ducts in the silos, balancing the overall main duct air pressure to achieve collaborative linkage and unified control of multi-silo dust collection equipment.

[0073] The cloud-based remote operation and maintenance unit connects to the cloud platform via wireless communication, supporting: remote parameter viewing, operation status monitoring, remote debugging, fault diagnosis, data storage and analysis; the local touch screen is used for on-site operation and parameter display.

[0074] Please combine Figure 4 and Figure 5 The dust removal control method provided in this application embodiment may further include the following steps: 1. Data Acquisition: Various sensors (also known as sensor groups) collect real-time data on operating conditions such as dust concentration, pressure difference, material storage location, and pipeline air pressure in the warehouse through the acquisition loop, and upload the data to the edge PLC main controller. 2. Intelligent decision-making: The edge PLC main controller first corrects and integrates the operating data, and then determines the dust condition level of each silo based on the integration results; 3. Collaborative control: Based on the dust condition level of each silo, fuzzy PID adaptive calculation is performed to realize multiple collaborative air volume scheduling; the valve opening of the branch pipeline can be dynamically controlled through the pneumatic regulating valve drive circuit, the fan speed can be controlled through the fan frequency conversion control circuit, and the pulse cleaning interval / air pressure can be controlled through the pulse cleaning control circuit, so as to uniformly coordinate the air volume distribution of all silo dust removal ducts and balance the overall main duct air pressure. 4. Staged dust removal: Dust is purified through a four-stage dust removal process to meet emission standards; 5. Operation and Maintenance Management: The operation and data feedback of each device in the dust removal system of the silo can be closed-loop; remote monitoring can be carried out in the cloud through the wireless remote communication module to realize unmanned intelligent operation and maintenance; the operation data can also be viewed and operated on-site through the touch screen communication loop.

[0075] Optionally, in the event of a malfunction in equipment such as sensors, valves, fans, or motors, an audible and visual alarm circuit can be used to trigger an alarm. For a detailed implementation of this embodiment, please refer to the relevant descriptions in the above embodiments; they will not be repeated here.

[0076] This application utilizes multi-source sensor data to simultaneously collect and weightedly fuse multi-source data (dust concentration in the silo, material storage location, pipeline air pressure) to obtain a dust condition index that reflects the actual dust load of the silo. This avoids misjudgment of dust load caused by data drift from a single sensor or missampling at a single point. The dust condition index is then used as the sole reference input for the entire control chain of valve opening, fan frequency, and pulse cleaning. This allows the valve opening, fan frequency, and pulse cleaning parameters to be adjusted in real time according to the dynamic fluctuations of the dust load, achieving an optimal balance between dust removal efficiency and energy saving. This avoids problems such as high load operation at low dust levels leading to high energy consumption and easy aging of dust collector bags, and insufficient dust removal power, dust overflow, and excessive emissions at high dust levels. Furthermore, the adoption of a four-stage dust removal architecture for progressive purification significantly improves the dust removal effect. When simultaneously dusting multiple silos, the operating frequency of the fans and the opening of the branch pipe valves of each silo are uniformly scheduled based on the dust condition index of each silo. This allows for the unified allocation of airflow to each silo, balance of the main duct pressure, and resolution of airflow interference issues across multiple silos. In this way, precise dust control, energy saving and consumption reduction, equipment life extension, and safety control can be integrated.

[0077] Based on the same inventive concept as the foregoing embodiments, this application also provides a material mixing plant, which may include a silo and the aforementioned silo dust removal system.

[0078] Based on the same inventive concept as the foregoing embodiments, this application provides a controller, such as... Figure 6 As shown, the controller may include: a processor 610 and a memory 611 storing a computer program; wherein, Figure 6 The processor 610 shown in the diagram does not indicate that there is only one processor 610, but only indicates the positional relationship of the processor 610 relative to other devices. In practical applications, there can be one or more processors 610; similarly, Figure 6 The memory 611 shown in the diagram has the same meaning, that is, it is only used to indicate the positional relationship of memory 611 relative to other devices. In practical applications, there can be one or more memories 611. When the processor 610 runs the computer program, it implements the dust removal control method of the silo dust removal system described above.

[0079] The controller may also include at least one network interface 612. The various components of the controller are coupled together via a bus system 613. It is understood that the bus system 613 is used to implement communication between these components. In addition to a data bus, the bus system 613 also includes a power bus, a control bus, and a status signal bus. However, for clarity, in... Figure 6 The general designated all buses as Bus System 613.

[0080] The memory 611 can be volatile or non-volatile, or both. The non-volatile memory can be read-only memory (ROM), programmable read-only memory (PROM), erasable programmable read-only memory (EPROM), electrically erasable programmable read-only memory (EEPROM), ferromagnetic random access memory (FRAM), flash memory, magnetic surface memory, optical disc, or compact disc read-only memory (CD-ROM); the magnetic surface memory can be disk storage or magnetic tape storage. The volatile memory can be random access memory (RAM), which is used as an external cache. By way of example, but not limitation, many forms of RAM are available, such as Static Random Access Memory (SRAM), Synchronous Static Random Access Memory (SSRAM), Dynamic Random Access Memory (DRAM), Synchronous Dynamic Random Access Memory (SDRAM), Double Data Rate Synchronous Dynamic Random Access Memory (DDRSDRAM), Enhanced Synchronous Dynamic Random Access Memory (ESDRAM), Sync Link Dynamic Random Access Memory (SLDRAM), and Direct Rambus Random Access Memory (DRRAM).The memory 611 described in the embodiments of this application is intended to include, but is not limited to, these and any other suitable types of memory.

[0081] The memory 611 in this embodiment is used to store various types of data to support the operation of the controller. Examples of this data include: any computer programs used to operate on the controller, such as operating systems and applications; contact data; phonebook data; messages; pictures; videos, etc. The operating system includes various system programs, such as the framework layer, core library layer, driver layer, etc., used to implement various basic services and handle hardware-based tasks. Applications can include various applications, such as media players, browsers, etc., used to implement various application services. Here, the program implementing the method of this embodiment can be included in the application.

[0082] Based on the same inventive concept as the foregoing embodiments, this embodiment also provides a computer-readable storage medium storing a computer program. The computer-readable storage medium can be a magnetic random access memory (FRAM), a read-only memory (ROM), a programmable read-only memory (PROM), an erasable programmable read-only memory (EPROM), an electrically erasable programmable read-only memory (EEPROM), a flash memory, a magnetic surface memory, an optical disc, or a compact disc read-only memory (CD-ROM), etc.; it can also be various devices including one or any combination of the above-mentioned memories, such as mobile phones, computers, tablet devices, personal digital assistants, etc. When the computer program stored in the computer-readable storage medium is executed by a processor, it implements the dust removal control method of the silo dust removal system described above. For the specific steps implemented when the computer program is executed by the processor, please refer to [link to relevant documentation]. Figure 1 The description of the illustrated embodiments will not be repeated here.

[0083] The embodiments described above are merely illustrative of several implementation methods of this application, and while the descriptions are relatively specific and detailed, they should not be construed as limiting the scope of the invention patent. It should be noted that those skilled in the art can make various modifications and improvements without departing from the concept of this application, and these all fall within the protection scope of this application. Therefore, the protection scope of this patent application should be determined by the appended claims.

Claims

1. A dust control method for a silo dust control system, characterized by, The dust removal system for the silo includes a target pipeline and a suction device; the target pipeline is connected to the exhaust port of the silo and is used to extract the airflow from the silo under the pipeline air pressure provided by the suction device; the method includes: Based on the dust concentration inside the silo and the location of the material storage, as well as the pipeline air pressure of the target pipeline, the dust condition index of the silo is determined. Based on the dust condition index, determine the target valve opening of the target pipeline; Based on the target valve opening, the valve opening of the target pipeline is controlled.

2. The method as described in claim 1, characterized in that, There are multiple silos; each silo's exhaust port is connected to a branch pipe; all the branch pipes converge and connect to the main pipe of the silo dust removal system. The target pipeline is a branch pipeline; Determining the target valve opening of the target pipeline based on the dust condition index includes: Monitor the growth rate of the dust condition index in the first silo; In response to the fact that the dust condition index of the first silo increases by more than a preset amount and the dust condition index of the second silo is less than the preset dust condition index, the target valve opening of the first branch pipeline is determined; the target valve opening of the first branch pipeline is greater than the current valve opening of the first branch pipeline; and the target valve opening of the second branch pipeline is determined based on the pipeline air pressure of the main pipeline. The first branch pipe and the second branch pipe are respectively branch pipes connected to the exhaust ports of the first silo and the second silo.

3. The method as described in claim 2, characterized in that, The suction device is installed in the main pipeline; determining the target valve opening of the second branch pipeline based on the pipeline air pressure of the main pipeline includes: In response to the main pipeline's air pressure being equal to an air pressure threshold, a target valve opening for the second branch pipeline is determined; the target valve opening for the second branch pipeline is less than the current valve opening for the second branch pipeline. In response to the main pipeline air pressure being less than the air pressure threshold, the current valve opening of the second branch pipeline is determined as the target valve opening of the second branch pipeline; The method further includes: After determining the current valve opening of the second branch pipeline as the target valve opening of the second branch pipeline, the operating frequency of the suction device is increased.

4. The method as described in claim 1, characterized in that, There are multiple hoppers; each hopper's exhaust port is connected to a branch pipe; all the branch pipes converge and connect to the main pipe of the hopper dust removal system; the target pipe is the branch pipe; the suction device is installed in the main pipe. After determining the dust condition index of the silo based on the dust concentration inside the silo, the material storage location, and the pipeline air pressure of the target pipeline, the method further includes: Monitor changes in the target dust condition index; the target dust condition index is determined based on the average dust condition index of multiple silos; In response to the change indicating that the target dust condition index increases and the pipeline air pressure of the main pipeline is lower than the air pressure threshold, the operating frequency of the suction device is increased; In response to the change indicating a decrease in the target dust condition index, the operating frequency of the suction device is reduced.

5. The method as described in claim 1, characterized in that, The dust removal system for the silo also includes dust collector bags and jet valves; the dust collector bags are used to filter the airflow discharged from the silo; the jet valves are used to guide the airflow to blow the dust trapped by the dust collector bags back into the silo. After determining the dust condition index of the silo based on the dust concentration inside the silo, the material storage location, and the pipeline air pressure of the target pipeline, the method further includes: In response to the pressure difference within the silo exceeding a preset pressure difference, the pulse purging valve is controlled to perform a pulse purging action at a first value of a target operating parameter; the target operating parameter includes at least one of pulse purging pressure and pulse purging frequency; or Based on the dust condition index of the silo, a second value of the target operating parameter is determined; the jet valve is controlled to perform a pulse purging action with the second value of the target operating parameter; the second value is positively correlated with the dust condition index of the silo.

6. The method as described in claim 1, characterized in that, The determination of the dust condition index of the silo based on the dust concentration inside the silo, the material storage location, and the pipeline air pressure of the target pipeline includes: Based on the working mode of the silo, the weighting coefficients of the dust concentration in the silo, the material storage location, and the pipeline air pressure are determined; The dust condition index of the silo is determined based on the dust concentration in the silo, the location of the material storage, the pipeline air pressure, and the weighting coefficient.

7. The method as described in claim 1, characterized in that, Determining the target valve opening of the target pipeline based on the dust condition index includes: Based on the preset index range to which the dust condition index belongs, the target dust condition level of the silo is determined; Based on the preset correspondence between dust condition level and valve opening, the target valve opening corresponding to the target dust condition level is determined.

8. A dust removal system for a silo, characterized in that, Includes the target pipeline, suction device, and controller; The target pipeline is connected to the exhaust port of the silo and is used to extract the airflow in the silo under the pipeline air pressure provided by the suction device. The controller includes a memory and a processor. The memory stores a computer program, which, when executed by the processor, implements the method as described in any one of claims 1 to 7.

9. The method as described in claim 8, characterized in that, The dust removal system for the silo also includes a dust baffle assembly; the dust baffle assembly is disposed between the air inlet and the exhaust outlet of the silo. The dust baffle assembly includes multiple baffles arranged in parallel along the airflow direction; each baffle extends in a bent shape along the airflow direction.

10. A material mixing plant, characterized in that, The material mixing station includes a silo and a silo dust removal system as described in claim 8 or 9.

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