Control method of intelligent negative pressure system for gravel production line

Abstract

The application discloses a control method of an intelligent negative pressure system for a gravel production line, and comprises the following steps: S1, receiving a first electric signal sent by a first annular electrostatic sensor pair (230); S2, calculating the concentration of dust particles in a corresponding sub-negative pressure pipe (210) as a first concentration according to the first electric signal; S3, receiving a second electric signal sent by a second annular electrostatic sensor (240); S4, calculating the equivalent diameter of the dust particles according to the difference between the second electric signal and the first electric signal; and S5, correcting the first concentration as a second concentration according to the equivalent diameter of the dust particles. The control method of the intelligent negative pressure system for the gravel production line can obtain the parameters of the concentration of the dust particles and the opening degree information of the valve structure corresponding to the corresponding sub-negative pressure pipe by utilizing the electrostatic characteristics of the dust particles in the sub-negative pressure pipe, and the processor can comprehensively adjust the working conditions of the valve structure by comprehensively processing the state information of all the sub-negative pressure pipes.

Description

Technical Field

[0001] This invention relates to the field of industrial dust removal, and in particular to a control method for an intelligent negative pressure system used in a stone crushing production line. Background Technology

[0002] To optimize the working environment for workers and the natural environment, dust control is required at various stages of the manufactured sand production process, including crushing, screening, and transportation. Current dust control solutions are comprehensive, such as simultaneously employing spraying, negative pressure, and electrostatic methods. Negative pressure dust collection can efficiently remove dust at critical points while also recovering and even reusing dust particles. A typical negative pressure dust collection system has a main negative pressure source, which is connected to the application area through multiple pipelines. However, there is currently no good solution for how to effectively distribute the energy from the main negative pressure source.

[0003] In negative pressure dust collection systems, pressure sensing modules are installed on the pipeline structure to ensure its normal operation. Based on data from these modules, the operation of valves within the pipeline is adjusted. For example, in Chinese patent CN 108363423A, a speed control module is connected to an intelligent control module and the dust collection fan in the dust collection system. The intelligent control module determines the production period of the dust collection system through a timing module. Upon receiving the actual gas negative pressure value P, it compares P with the corresponding negative pressure level D for that production period. If there is a deviation between P and D, the intelligent control module sends a speed control signal to the speed control module based on the worst-case scenario principle, adjusting the speed of the dust collection fan until the actual gas negative pressure value P in the dust collection pipeline consistently equals D. However, current systems do not consider the actual dust collection needs of the site. This leads to energy waste in locations where strong negative pressure is not needed, and insufficient workload in locations where strong negative pressure is truly required. Summary of the Invention

[0004] The main objective of this invention is to provide a control method for an intelligent negative pressure system used in a stone crushing production line. This method aims to solve the problem that current methods do not consider the actual dust removal needs of the site, resulting in energy waste in locations where strong negative pressure is not required, and insufficient workload in locations where strong negative pressure is actually needed.

[0005] To achieve the above objectives, the present invention provides an intelligent negative pressure system for a stone crushing production line, comprising:

[0006] Negative pressure source;

[0007] Multiple sub-negative pressure pipeline assemblies, each sub-negative pressure pipeline assembly including a sub-negative pressure pipe, a first annular electrostatic sensor pair, and a valve structure, wherein the sub-negative pressure pipe is connected to the negative pressure source, the valve structure is disposed on the sub-negative pressure pipe, and the first annular electrostatic sensor pair is disposed at the end of the sub-negative pressure pipe away from the negative pressure source, the first annular electrostatic sensor pair including two first annular electrostatic sensors spaced apart on the sub-negative pressure pipe, the sub-negative pressure pipe being used to extract dust particles generated in the stone crushing production line;

[0008] The processor receives a first electrical signal transmitted from the first annular electrostatic sensor. The processor is used to calculate the concentration and velocity of dust particles in the sub-negative pressure pipe based on the first electrical signal. The processor is connected to control the valve structure.

[0009] Furthermore, at least one second annular electrostatic sensor is disposed on the sub-negative pressure tube downstream of the first annular electrostatic sensor pair, and the second electrical signal obtained by the second annular electrostatic sensor is transmitted to the processor.

[0010] Furthermore, there are multiple second annular electrostatic sensors, and the distance between adjacent second annular electrostatic sensors along the length of the sub-negative pressure tube is between 5 and 10 meters.

[0011] Furthermore, a wind speed sensor is provided on the sub-negative pressure tube corresponding to the first annular electrostatic sensor pair, and the wind speed sensor is connected to the processor.

[0012] Furthermore, on the plurality of said sub-negative pressure pipeline assemblies, the first annular electrostatic sensor pair is at the same distance from the end of the sub-negative pressure pipeline furthest from the negative pressure source.

[0013] The present invention also provides a control method for the above-mentioned intelligent negative pressure system for a stone crushing production line, comprising:

[0014] P1 receives the first electrical signal sent by the first ring electrostatic sensor;

[0015] P2. The concentration of dust particles in the corresponding negative pressure tube is calculated based on the first electrical signal as the first concentration;

[0016] P3 receives the opening information from the valve structure.

[0017] P4. Based on the magnitude relationship between the first concentrations corresponding to all sub-negative pressure pipeline components, and combined with the opening information of the valve structure on the corresponding sub-negative pressure pipeline component, control the operation of the valve structure on the corresponding sub-negative pressure pipeline component.

[0018] The present invention also provides a control method for the above-mentioned intelligent negative pressure system for a stone crushing production line, comprising:

[0019] S1. Receive the first electrical signal sent by the first ring electrostatic sensor;

[0020] S2. Calculate the concentration of dust particles in the corresponding negative pressure tube based on the first electrical signal to obtain the first concentration;

[0021] S3. Receive the second electrical signal sent by the second ring electrostatic sensor;

[0022] S4. Calculate the equivalent diameter of the dust particles based on the difference between the second electrical signal and the first electrical signal;

[0023] S5. Correct the first concentration to the second concentration based on the equivalent diameter of the dust particles.

[0024] Furthermore, step S5 is followed by:

[0025] S6. Receive the opening information from the valve structure;

[0026] S7. Based on the relationship between the second concentrations of all sub-negative pressure pipeline components and the opening information of the valve structure on the corresponding sub-negative pressure pipeline component, control the operation of the valve structure on the corresponding sub-negative pressure pipeline component.

[0027] The present invention also provides a control method for the above-mentioned intelligent negative pressure system for a stone crushing production line, comprising:

[0028] K1 receives the first electrical signal sent by the first ring electrostatic sensor;

[0029] K2. The concentration of dust particles in the corresponding sub-negative pressure tube is calculated based on the first electrical signal as the first concentration;

[0030] K3. The velocity of the dust particles in the corresponding sub-negative pressure tube is calculated based on the first electrical signal using the electrostatic interrelation method, which is the first velocity.

[0031] K4 receives the signal from the wind speed sensor as the second speed;

[0032] K5. Calculate the equivalent diameter of the dust particles based on the difference between the second speed and the first speed;

[0033] K6. The first concentration is corrected to the third concentration based on the equivalent diameter of the dust particles.

[0034] Furthermore, step K6 is followed by:

[0035] The signal received from the valve structure is the valve opening information;

[0036] The operation of the valve structure is controlled based on the relationship between the opening information and the third concentration.

[0037] The intelligent negative pressure system and control method for a stone crushing production line provided by this invention utilizes the electrostatic characteristics of dust particles in the sub-negative pressure pipes to form electrostatic induction feedback on the first annular electrostatic sensor. After amplifying and processing the electrostatic induction feedback, the dust particle concentration parameter can be obtained. Furthermore, the velocity of the dust particles can be obtained through the electrostatic interrelation method. After calculating and obtaining the dust particle concentration in all sub-negative pressure pipes as the first concentration, the corresponding valve structure opening information is associated with the sub-negative pressure pipe. At this time, the processor can comprehensively adjust the working status of the valve structure by integrating the status information of all sub-negative pressure pipes, so as to maximize the negative pressure provided by the negative pressure source to the working environment that most needs dust removal. Attached Figure Description

[0038] Figure 1 This is a schematic diagram of the intelligent negative pressure system for a stone crushing production line according to the first embodiment of the present invention;

[0039] Figure 2 This is a schematic diagram of the intelligent negative pressure system for a stone crushing production line according to the second embodiment of the present invention;

[0040] Figure 3 This is a schematic diagram of the intelligent negative pressure system for a stone crushing production line according to the third embodiment of the present invention;

[0041] Figure 4 This is a schematic diagram of the steps of the control method of the intelligent negative pressure system for a stone crushing production line according to the fourth embodiment of the present invention;

[0042] Figure 5 This is a schematic diagram of the steps of the control method of the intelligent negative pressure system for a stone crushing production line according to the fifth embodiment of the present invention;

[0043] Figure 6 This is a schematic diagram of the steps of the control method of the intelligent negative pressure system for a stone crushing production line according to the sixth embodiment of the present invention.

[0044] The realization of the objective, functional features and advantages of the present invention will be further explained in conjunction with the embodiments and with reference to the accompanying drawings. Detailed Implementation

[0045] It should be understood that the specific embodiments described herein are merely illustrative of the invention and are not intended to limit the invention.

[0046] Those skilled in the art will understand that, unless specifically stated otherwise, the singular forms “a,” “an,” “the,” “the,” “the,” and “the” used herein may also include the plural forms. It should be further understood that the term “comprising” as used in this specification means the presence of the stated features, integers, steps, operations, elements, units, modules, and / or components, but does not exclude the presence or addition of one or more other features, integers, steps, operations, elements, units, modules, components, and / or groups thereof. It should be understood that when we say an element is “connected” or “coupled” to another element, it can be directly connected or coupled to the other element, or there may be intermediate elements. Furthermore, “connected” or “coupled” as used herein can include wireless connection or wireless coupling. The term “and / or” as used herein includes all or any of the units and all combinations of one or more associated listed items.

[0047] It will be understood by those skilled in the art that, unless otherwise defined, all terms used herein (including technical and scientific terms) have the same meaning as commonly understood by one of ordinary skill in the art to which this invention pertains. It should also be understood that terms such as those defined in general dictionaries should be understood to have the same meaning as in the context of the prior art, and should not be interpreted in an idealized or overly formal sense unless specifically defined as herein.

[0048] Reference Figure 1 In one embodiment of the present invention, an intelligent negative pressure system for a stone crushing production line includes:

[0049] Negative pressure source 100;

[0050] Multiple sub-negative pressure pipeline assemblies 200, each sub-negative pressure pipeline assembly 200 including a sub-negative pressure pipe 210, a first annular electrostatic sensor pair 230, and a valve structure 220. The sub-negative pressure pipe 210 is connected to the negative pressure source 100. The valve structure 220 is disposed on the sub-negative pressure pipe 210. The first annular electrostatic sensor pair 230 is disposed at the end of the sub-negative pressure pipe 210 away from the negative pressure source 100. The first annular electrostatic sensor pair 230 includes two first annular electrostatic sensors 231 spaced apart on the sub-negative pressure pipe 210. The sub-negative pressure pipe 210 is used to extract dust particles generated in the stone crushing production line.

[0051] The processor receives a first electrical signal transmitted from the first annular electrostatic sensor 230. The processor is used to calculate the concentration and velocity of dust particles in the sub-negative pressure pipe 210 based on the first electrical signal. The processor is connected to control the valve structure 220.

[0052] In existing technologies, pressure sensing modules are installed on negative pressure dust removal systems to ensure the normal operation of the pipeline structure. Based on the data from the pressure sensing modules, the operation of the valve structure on the pipeline structure is adjusted. However, the actual dust removal needs of the site are not currently considered. This results in energy waste in locations where strong negative pressure is not required, and may also lead to insufficient working intensity in locations where strong negative pressure is actually needed.

[0053] In this embodiment, a negative pressure source is used to provide negative pressure for dust removal, and the negative pressure is guided to the application scenario through multiple sub-negative pressure pipeline assemblies 200. Airflow in the fluid carries dust particles as they move within the sub-negative pressure pipes 210. Friction and collisions occur between the dust particles and the sub-negative pressure pipes 210, as well as between dust particles themselves, generating static charge. A first annular electrostatic sensor 231 is nested within the sub-negative pressure pipe 210. When the directional movement of dust particles converges on the first annular electrostatic sensor 231, corresponding electrostatic induction feedback is generated. After amplification and processing of the electrostatic induction feedback, the dust particle concentration parameter can be obtained. The first annular electrostatic sensor assembly 230 includes two first annular electrostatic sensors 231, either of which can obtain electrostatic induction feedback of the powder group composed of dust particles in the sub-negative pressure pipe 210. The processor can calculate the initial dust particle concentration based on the magnitude of the electrostatic induction feedback, and the velocity of the dust particles can also be obtained through the electrostatic correlation method. The first annular electrostatic sensor pair 230 is positioned at the end of the sub-negative pressure tube 210 furthest from the negative pressure source 100, that is, as close as possible to the dust collection location. At this point, the electrostatic parameters of the dust particles will not be affected by the sub-negative pressure tube 210 and become more complex, thus affecting the usability of the data collected by the first annular electrostatic sensor pair 230.

[0054] The valve structure 220 can be of various types, such as an electric ball valve or a plate valve. The opening and closing degree of the valve structure 220 is adjusted through motor control. After calculating the concentration of dust particles in all sub-negative pressure pipes 210 as the first concentration, and corresponding to the opening degree information of the valve structure 220 for each sub-negative pressure pipe 210, the processor can comprehensively adjust the working status of the valve structure 220 by integrating the status information of all sub-negative pressure pipes 210. For example, in one embodiment, the ratio of the first concentration to the opening degree information is used as a reference factor. A larger reference factor indicates a greater suction demand at the sub-negative pressure pipe 210, allowing the opening and closing degree of the valve structure 220 to be increased; conversely, a smaller reference factor indicates a lower suction demand at the sub-negative pressure pipe 210, allowing the opening and closing degree of the valve structure 220 to be decreased. Furthermore, the adjustment of the valve structure 220 on each of the above sub-negative pressure pipes 210 can start from the sub-negative pressure pipe 210 with the larger value of the reference factor, so as to maximize the negative pressure provided by the negative pressure source 100 to the working environment that needs dust removal the most.

[0055] In the intelligent negative pressure system used in this stone crushing production line, the dust particle concentration is not calculated using the electrostatic correlation method based on the first electrical signal from the first annular electrostatic sensor to 230. However, the dust particle velocity can be calculated and monitored separately to provide a basis for other operations, or it can also provide a basis for correcting the dust particle concentration in the negative pressure tube 210, which will be further explained in subsequent embodiments.

[0056] In summary, by utilizing the electrostatic characteristics of dust particles in the sub-negative pressure tube 210, electrostatic induction feedback is formed on the first annular electrostatic sensor 231. After amplifying and processing the electrostatic induction feedback, the dust particle concentration parameter can be obtained. Furthermore, the velocity of the dust particles can be obtained through the electrostatic correlation method. After calculating and obtaining the dust particle concentration in all sub-negative pressure tubes 210 as the first concentration, the corresponding opening information of the valve structure 220 is obtained. At this time, the processor can integrate the state information of all sub-negative pressure tubes 210 and coordinate the operation of the valve structure 220 to maximize the negative pressure provided by the negative pressure source 100 to the working environment that most needs dust removal.

[0057] Reference Figure 2 In one embodiment, at least one second annular electrostatic sensor 240 is disposed on the sub-negative pressure tube 210 downstream of the first annular electrostatic sensor pair 230, and the second electrical signal obtained by the second annular electrostatic sensor 240 is transmitted to the processor.

[0058] In existing technologies, various types of electrostatic sensors are often used to obtain the concentration of dust particles in pipelines. However, since dust particles of different diameters have different electrostatic values, and under the same mass conditions, a powder group composed of small-sized dust particles has a greater electrostatic value than a powder group composed of large-sized dust particles, when the diameter of the dust particles is uncertain, directly converting the data from the electrostatic sensor into dust particle concentration (e.g., in grams per cubic meter) reduces its reference value.

[0059] In this embodiment, the electrostatic induction feedback from the two first ring electrostatic sensors 231 in the first ring electrostatic sensor pair 230 together constitutes the first electrical signal, and the electrostatic induction feedback from the second ring electrostatic sensor 240 is the second electrical signal. First, any one of the first ring electrostatic sensors 231 in the first ring electrostatic sensor pair 230 can obtain electrostatic induction feedback from the powder group composed of dust particles in the sub-negative pressure tube 210; then, a second ring electrostatic sensor 240 is also arranged downstream of the first ring electrostatic sensor pair 230 on the sub-negative pressure tube 210. After various collisions between the first ring electrostatic sensor pair 230 and the second ring electrostatic sensor 240, the amount of static electricity possessed by the dust particles changes to a certain extent, and the electrostatic induction feedback obtained by the second ring electrostatic sensor 240 and the first ring electrostatic sensor 231 can reflect the above-mentioned change in the amount of static electricity. Because smaller dust particles move faster under airflow, are more likely to rub against each other, and have a larger surface area for the same mass, the electrostatic feedback increment between the second annular electrostatic sensor 240 and the first annular electrostatic sensor 231 strongly correlates with the diameter of the dust particles. This provides a basis for calculating the diameter of the dust particles using the electrostatic feedback increment. The specific formula for this diameter conversion can be obtained through simulation or actual measurement. After calculating the diameter of the dust particles, the initial dust particle concentration can be corrected to obtain the airflow velocity. Furthermore, the dust particle concentration can be corrected after calculating the diameter. Finally, the electrostatic feedback increment between the second annular electrostatic sensor 240 and the first annular electrostatic sensor 231 can also reflect the working state of the sub-negative pressure tube 210. For example, if the electrostatic feedback obtained by the second annular electrostatic sensor 240 decreases instead of increasing, the working state of the sub-negative pressure tube 210 is likely abnormal.

[0060] In one embodiment, there are multiple second annular electrostatic sensors 240, and the distance between adjacent second annular electrostatic sensors 240 in the length direction of the sub-negative pressure tube 210 is between 5 and 10 meters.

[0061] In the aforementioned embodiments, the number of second annular electrostatic sensors 240 was not limited. In this embodiment, their number is increased and the spacing is limited. Through these limitations, a more accurate conversion of the dust particle diameter is achieved based on the trend curve formed by the electrostatic induction feedback values ​​of each second annular electrostatic sensor 240. For example, the distance between the second annular electrostatic sensor 240 and the first annular electrostatic sensor pair 230 is 10 to 20 meters along the length of the sub-negative pressure tube 210, avoiding being too close or too far.

[0062] Reference Figure 3In one embodiment, a wind speed sensor 250 is provided on the sub-negative pressure tube 210 corresponding to the first annular electrostatic sensor pair 230, and the wind speed sensor 250 is connected to the processor.

[0063] The fluid includes airflow and dispersed dust particles. The larger the dust particles, the greater the difference between their velocity and the airflow velocity. This difference allows for the calculation of the diameter of the dispersed dust particles in the airflow. In this embodiment, the wind speed sensor 250 is a digital Pitot tube anemometer. The wind speed information it obtains is transmitted to the processor. By combining the wind speed information obtained by the wind speed sensor 250 with the dust particle velocity information calculated by the first annular electrostatic sensor 230, the size of the dust particles in the fluid can be calculated. Obtaining the dust particle diameter provides a useful reference for assessing the hazard level of the working environment and correcting the dust particle concentration in the fluid. In other embodiments, the type of wind speed sensor 250 can also be different.

[0064] In one embodiment, on a plurality of sub-negative pressure pipeline assemblies 200, the first annular electrostatic sensor pair 230 is at the same distance from the end of the sub-negative pressure pipe 210 away from the negative pressure source 100.

[0065] The signal acquired by the first annular electrostatic sensor pair 230 is used by the processor to calculate the measured velocity and / or concentration of dust particles, thereby obtaining the corresponding operating status of the sub-negative pressure pipeline assembly 200. In this embodiment, the operation of each sub-negative pressure pipeline assembly 200 can be coordinated by using the signals acquired by the first annular electrostatic sensor pairs 230 on multiple sub-negative pressure pipeline assemblies 200. At this time, the distance between the first annular electrostatic sensor pairs 230 on multiple sub-negative pressure pipeline assemblies 200 and the end of the sub-negative pressure pipe 210 is consistent, so the electrostatic generation environment of dust particles in each sub-negative pressure pipe 210 is similar. At this time, the error between the sub-negative pressure pipeline assemblies 200 is small, and the comparability between them is high.

[0066] Reference Figure 4 The present invention also provides a control method applied to the above-mentioned intelligent negative pressure system for a stone crushing production line, comprising:

[0067] P1 receives the first electrical signal sent by the first ring electrostatic sensor to 230;

[0068] P2. The concentration of dust particles in the corresponding negative pressure tube 210 is calculated based on the first electrical signal as the first concentration;

[0069] P3 receives the opening information from the valve structure 220;

[0070] P4. Based on the magnitude relationship between the first concentrations corresponding to all sub-negative pressure pipeline components 200, and combined with the opening information of the valve structure 220 on the corresponding sub-negative pressure pipeline component 200, control the operation of the valve structure 220 on the corresponding sub-negative pressure pipeline component 200.

[0071] In this embodiment, the airflow in the fluid carries dust particles as they move within the sub-negative pressure tube 210. Friction and collisions occur between the dust particles and the sub-negative pressure tube 210, as well as between the dust particles themselves, generating static charge. A first annular electrostatic sensor 231 is nested within the sub-negative pressure tube 210. When the directional movement of dust particles converges on the first annular electrostatic sensor 231, corresponding electrostatic induction feedback is generated. After amplifying and processing the electrostatic induction feedback, the dust particle concentration parameter can be obtained. The first annular electrostatic sensor pair 230 includes two first annular electrostatic sensors 231, either of which can obtain electrostatic induction feedback of the powder group composed of dust particles in the sub-negative pressure tube 210. The initial dust particle concentration can be calculated from the magnitude of the electrostatic induction feedback.

[0072] The valve structure 220 can be of various types, such as an electric ball valve or a plate valve, and the opening and closing degree of the valve structure 220 is adjusted by controlling the motor.

[0073] After obtaining the initial concentration of dust particles within all sub-negative pressure pipes 210, and corresponding to the opening information of the valve structure 220 for each sub-negative pressure pipe 210, the processor can then comprehensively adjust the operation of the valve structure 220 based on the overall status information of all sub-negative pressure pipes 210. For example, in one embodiment, the ratio of the initial concentration to the opening information is used as a reference factor. A larger reference factor indicates a greater suction demand at the location of the sub-negative pressure pipe 210, allowing the opening degree of the valve structure 220 to be increased; conversely, a smaller reference factor indicates a lower suction demand at the location of the sub-negative pressure pipe 210, allowing the opening degree of the valve structure 220 to be decreased. Furthermore, the adjustment of the valve structure 220 on each of the sub-negative pressure pipes 210 can begin with the sub-negative pressure pipe 210 with the larger reference factor value, so as to maximize the negative pressure provided by the negative pressure source 100 to the working environment most in need of dust removal. In this control method, the velocity of the dust particles is not calculated using the electrostatic correlation method based on the first electrical signal from the first annular electrostatic sensor 230 during the calculation of the dust particle concentration; however, the velocity of the dust particles can be calculated and monitored separately to provide a basis for other operations.

[0074] Reference Figure 5 The present invention also provides a control method applied to the above-mentioned intelligent negative pressure system for a stone crushing production line, comprising:

[0075] S1. Receive the first electrical signal sent by the first ring electrostatic sensor to 230;

[0076] S2. Calculate the concentration of dust particles in the corresponding negative pressure tube 210 according to the first electrical signal to obtain the first concentration;

[0077] S3. Receive the second electrical signal sent by the second ring electrostatic sensor 240;

[0078] S4. Calculate the equivalent diameter of the dust particles based on the difference between the second electrical signal and the first electrical signal;

[0079] S5. Correct the first concentration to the second concentration based on the equivalent diameter of the dust particles.

[0080] In this embodiment, in steps S1 and S2, the electrostatic induction feedback from the two first ring electrostatic sensors 231 in 230, provided by the first ring electrostatic sensor, forms a first electrical signal, which is received by the processor. The first ring electrostatic sensor can obtain electrostatic induction feedback from any one of the first ring electrostatic sensors 231 in 230 regarding the powder group composed of dust particles in the negative pressure tube 210. The first concentration of dust particles can be calculated based on the magnitude of this electrostatic induction feedback. The value of the first concentration (mass / unit volume) may require correction. For example, if the first concentration value represents the electrostatic induction feedback data obtained by the first ring electrostatic sensor 231, then larger coarse dust particles and smaller fine dust particles may be present. Therefore, the particle size of the dust particles needs to be taken into account to obtain more valuable concentration data.

[0081] In step S3, a second annular electrostatic sensor 240 is also installed downstream of the first annular electrostatic sensor pair 230 on the sub-negative pressure pipe 210. Unlike the first annular electrostatic sensor pair 230, the second annular electrostatic sensor 240 is not installed in pairs. The amount of static electricity possessed by dust particles after various collisions between the first annular electrostatic sensor pair 230 and the second annular electrostatic sensor 240 changes to a certain extent. The electrostatic induction feedback obtained by the second annular electrostatic sensor 240 and the first annular electrostatic sensor 231 reflects this change in static electricity. Since smaller dust particles have a higher speed under airflow drive, a higher probability of friction between them, and a larger surface area for the same mass compared to larger dust particles, the increment of the electrostatic induction feedback between the second annular electrostatic sensor 240 and the first annular electrostatic sensor 231 in the dust particle group forms a strong correlation with the diameter of the dust particles. This provides a basis for converting the diameter of dust particles using the increment of electrostatic induction feedback. The specific formula for converting the diameter of dust particles can be obtained through simulation calculations or actual measurements. First, after converting the diameter of the dust particles, the concentration of the dust particles can be corrected. Second, the increment of electrostatic induction feedback between the second annular electrostatic sensor 240 and the first annular electrostatic sensor 231 can also reflect the working state of the sub-negative pressure tube 210. For example, if the electrostatic induction feedback obtained by the second annular electrostatic sensor 240 decreases instead of increasing, the working state of the sub-negative pressure tube 210 is likely abnormal. It should be noted that after converting the velocity of the dust particles based on the first electrical signal from the first annular electrostatic sensor to 230 using the electrostatic interrelation method, the velocity of the airflow carrying the dust particles can be deduced by combining this with the converted diameter of the dust particles. Specifically, in the process of correcting the first concentration using the equivalent diameter of the dust particles, the first concentration can be divided by the equivalent diameter and then multiplied by a conversion constant to obtain the second concentration. In other correction processes, the correction method does not necessarily need to be linear; it can be various types of correction methods derived from actual measurements or simulations.

[0082] In one embodiment, step S5 is followed by:

[0083] S6. Receive the opening information from the valve structure 220;

[0084] S7. Based on the magnitude relationship between the second concentrations corresponding to all sub-negative pressure pipeline components 200, and combined with the opening information of the valve structure 220 on the corresponding sub-negative pressure pipeline component 200, control the operation of the valve structure 220 on the corresponding sub-negative pressure pipeline component 200.

[0085] In this embodiment, after obtaining the second concentration of dust particles in all sub-negative pressure pipes 210, the processor can then coordinate the opening information of the valve structure 220 on the corresponding sub-negative pressure pipe 210, based on the state information of all sub-negative pressure pipes 210. For example, in one embodiment, the ratio of the second concentration to the opening information is used as a reference factor. A larger reference factor indicates a greater suction demand at the sub-negative pressure pipe 210, allowing for a greater opening degree of the valve structure 220; conversely, a smaller reference factor indicates a lower suction demand at the sub-negative pressure pipe 210, allowing for a lesser opening degree of the valve structure 220. By comprehensively considering dust particles to correct the first concentration, the reliability of the entire control method is improved, making it more flexible and reliable.

[0086] In one embodiment, step S1 is followed by:

[0087] The velocity of the dust particles in the corresponding negative pressure tube 210 is calculated using the electrostatic interrelation method based on the first electrical signal, and is thus the first velocity.

[0088] In the process of dust removal in the stone crushing production line using an intelligent negative pressure system, the concentration of dust particles in the sub-negative pressure pipe 210 is crucial for regulating the operation of the entire intelligent negative pressure system, while the velocity of the dust particles in the sub-negative pressure pipe 210 also has certain reference value. In this embodiment, the velocity of the dust particles is calculated using the electrostatic correlation method based on the first electrical signal from the first annular electrostatic sensor 230. This method has the advantages of linearity, flexibility, and ease of maintenance.

[0089] The signals obtained by the two first annular electrostatic sensors 231 together constitute the first electrical signal. The initial dust particle velocity can be obtained by calculating the relationship between the two electrostatic induction feedbacks in the first electrical signal. The induced charge and induced potential generated on the first annular electrostatic sensors 231 also fluctuate continuously; the fluctuation of the induced charge or induced potential signal reflects the flow parameter information of the dust particles. When dust particles flow through the two first annular electrostatic sensors 231, they induce two similar electrostatic signals. Based on the electrostatic cross-correlation method and with appropriate information processing methods, the velocity parameters of the dust particles can be obtained. In the electrostatic cross-correlation method, the output signals of the two first annular electrostatic sensors 231... and By performing cross-correlation calculations, the time difference experienced by dust particles passing through the two first annular electrostatic sensors 231 can be calculated. .

[0090]

[0091] T is the sampling time, and the cross-correlation function value is... The τ corresponding to the maximum value is the time it takes for dust particles to pass through the two first ring electrostatic sensors 231 with a distance of L. The velocity of dust particles is the ratio of distance to time.

[0092] The present invention also provides a control method for the above-mentioned intelligent negative pressure system for a stone crushing production line, comprising:

[0093] K1 receives the first electrical signal sent by the first ring electrostatic sensor to 230;

[0094] K2. The concentration of dust particles in the corresponding negative pressure tube 210 is calculated based on the first electrical signal as the first concentration;

[0095] K3. The velocity of the dust particles in the corresponding negative pressure tube 210 is calculated based on the first electrical signal using the electrostatic interaction method, which is the first velocity.

[0096] K4 receives the signal from wind speed sensor 250 as the second speed;

[0097] K5. Calculate the equivalent diameter of the dust particles based on the difference between the second speed and the first speed;

[0098] K6. The first concentration is corrected to the third concentration based on the equivalent diameter of the dust particles.

[0099] In this embodiment, in steps K1 and K2, the electrostatic feedback from the two first ring electrostatic sensors 231 in 230, provided by the first ring electrostatic sensor, forms a first electrical signal, which is received by the processor. The first ring electrostatic sensor can obtain electrostatic feedback from any one of the first ring electrostatic sensors 231 in 230 regarding the powder group composed of dust particles in the negative pressure tube 210. The magnitude of this electrostatic feedback can be used to calculate the first concentration of dust particles. The value of the first concentration (mass / unit volume) may require correction. For example, if the first concentration value represents the electrostatic feedback data obtained by the first ring electrostatic sensor 231, then larger coarse dust particles and smaller fine dust particles may be present. Therefore, the particle size of the dust particles needs to be taken into account to obtain more valuable concentration data.

[0100] In step K3, the velocity of the dust particles is calculated using the electrostatic correlation method based on the first electrical signal from the first ring electrostatic sensor 230. This method has the advantages of linearity, flexibility and ease of maintenance.

[0101] In steps K4 to K5, the velocity difference between dust particles and airflow in the fluid is correlated with the diameter of the dust particles. The velocity of the dust particles (first velocity) is calculated from the first electrical signal obtained by the first annular electrostatic sensor 230, and the velocity of the airflow (second velocity) is obtained by the wind speed sensor 250. The equivalent diameter of the dust particles is then calculated using the difference between the first and second velocities. The specific formula for calculating the equivalent diameter of the dust particles can be obtained through simulation or actual measurement.

[0102] In step K6, specifically in the process of correcting the first concentration based on the equivalent diameter of dust particles, the first concentration can be divided by the equivalent diameter and then multiplied by a conversion constant to obtain the third concentration. In other correction processes, the correction method does not necessarily have to be linear; it can be various types of correction methods derived from actual measurements or simulations.

[0103] In one embodiment, step K6 is followed by:

[0104] The signal received from valve structure 220 is the opening information;

[0105] The operation of valve structure 220 is controlled based on the relationship between the opening information and the third concentration.

[0106] In this embodiment, after obtaining the third concentration of dust particles in all sub-negative pressure pipes 210, the processor can then coordinate the opening information of the valve structure 220 on the corresponding sub-negative pressure pipe 210, based on the state information of all sub-negative pressure pipes 210. For example, in one embodiment, the ratio of the third concentration to the opening information is used as a reference factor. A larger reference factor indicates a greater suction demand at the sub-negative pressure pipe 210, allowing for a greater opening degree of the valve structure 220; conversely, a smaller reference factor indicates a lower suction demand at the sub-negative pressure pipe 210, allowing for a lesser opening degree of the valve structure 220. By comprehensively considering dust particles to correct the first concentration, the reliability of the entire control method is improved, making it more flexible and reliable.

[0107] In summary, the intelligent negative pressure system and control method for stone crushing production lines provided by this invention utilizes the electrostatic characteristics of dust particles in the sub-negative pressure pipes 210 to form electrostatic induction feedback on the first annular electrostatic sensor 231. After amplifying and processing the electrostatic induction feedback, the dust particle concentration parameter can be obtained. Furthermore, the velocity of the dust particles can be obtained through the electrostatic correlation method. After calculating and obtaining the dust particle concentration in all sub-negative pressure pipes 210 as the first concentration, the corresponding opening information of the valve structure 220 is associated with the sub-negative pressure pipe 210. At this time, the processor can integrate the state information of all sub-negative pressure pipes 210 and coordinate the operation of the valve structure 220 to maximize the negative pressure provided by the negative pressure source 100 on the working environment that most needs dust removal.

[0108] The above description is merely a preferred embodiment of the present invention and does not limit the patent scope of the present invention. Any equivalent structural or procedural transformations made based on the content of the present invention's specification and drawings, or direct or indirect applications in other related technical fields, are similarly included within the patent protection scope of the present invention.

Claims

1. A control method for an intelligent negative pressure system for a stone crushing production line, the intelligent negative pressure system for the stone crushing production line comprising: Negative pressure source (100); Multiple sub-negative pressure pipeline assemblies (200) are provided. Each sub-negative pressure pipeline assembly (200) includes a sub-negative pressure pipe (210), a first annular electrostatic sensor pair (230), and a valve structure (220). The sub-negative pressure pipe (210) is connected to the negative pressure source (100). The valve structure (220) is disposed on the sub-negative pressure pipe (210). The first annular electrostatic sensor pair (230) is disposed at the end of the sub-negative pressure pipe (210) away from the negative pressure source (100). The first annular electrostatic sensor pair (230) includes two first annular electrostatic sensors (231) spaced apart on the sub-negative pressure pipe (210). The sub-negative pressure pipe (210) is used to extract dust particles generated in the stone crushing production line. At least one second annular electrostatic sensor (240) is provided on the sub-negative pressure tube (210) downstream of the first annular electrostatic sensor pair (230), and the second electrical signal obtained by the second annular electrostatic sensor (240) is transmitted to the processor. The processor receives a first electrical signal transmitted from the first annular electrostatic sensor pair (230), the processor is used to calculate the concentration and velocity of dust particles in the sub-negative pressure pipe (210) based on the first electrical signal, the processor is connected to control the valve structure (220), and the control method of the intelligent negative pressure system for the stone crushing production line includes: S1. Receive the first electrical signal sent by the first ring electrostatic sensor pair (230); S2. Calculate the concentration of dust particles in the corresponding sub-negative pressure tube (210) according to the first electrical signal to obtain the first concentration; S3. Receive the second electrical signal sent by the second ring electrostatic sensor (240); S4. Calculate the equivalent diameter of the dust particles based on the difference between the second electrical signal and the first electrical signal; S5. Correct the first concentration to the second concentration based on the equivalent diameter of the dust particles.

2. The control method for the intelligent negative pressure system for a stone crushing production line according to claim 1, characterized in that, The step S5 is followed by: S6. Receive the opening information of the signal sent by the valve structure (220); S7. Based on the relationship between the second concentrations of all sub-negative pressure pipeline components (200) and the opening information of the valve structure (220) on the corresponding sub-negative pressure pipeline component (200), control the operation of the valve structure (220) on the corresponding sub-negative pressure pipeline component (200).

3. The control method for the intelligent negative pressure system for a stone crushing production line according to claim 1, characterized in that, On the plurality of said sub-negative pressure pipeline assemblies (200), the first annular electrostatic sensor pair (230) is at the same distance from the end of the sub-negative pressure pipe (210) away from the negative pressure source (100).

4. A control method for an intelligent negative pressure system for a stone crushing production line, wherein the intelligent negative pressure system for the stone crushing production line comprises: Negative pressure source (100); Multiple sub-negative pressure pipeline assemblies (200) are provided. Each sub-negative pressure pipeline assembly (200) includes a sub-negative pressure pipe (210), a first annular electrostatic sensor pair (230), and a valve structure (220). The sub-negative pressure pipe (210) is connected to the negative pressure source (100). The valve structure (220) is disposed on the sub-negative pressure pipe (210). The first annular electrostatic sensor pair (230) is disposed at the end of the sub-negative pressure pipe (210) away from the negative pressure source (100). The first annular electrostatic sensor pair (230) includes two first annular electrostatic sensors (231) spaced apart on the sub-negative pressure pipe (210). The sub-negative pressure pipe (210) is used to extract dust particles generated in the stone crushing production line. At least one second annular electrostatic sensor (240) is provided on the sub-negative pressure tube (210) downstream of the first annular electrostatic sensor pair (230), and the second electrical signal obtained by the second annular electrostatic sensor (240) is transmitted to the processor. The number of the second ring electrostatic sensors (240) is multiple, and the spacing between adjacent second ring electrostatic sensors (240) in the length direction of the sub-negative pressure tube (210) is between 5 and 10 meters; A wind speed sensor (250) is provided on the sub-negative pressure tube (210) corresponding to the first annular electrostatic sensor pair (230), and the wind speed sensor (250) is connected to the processor; The processor receives a first electrical signal transmitted from the first annular electrostatic sensor pair (230), the processor is used to calculate the concentration and velocity of dust particles in the sub-negative pressure pipe (210) based on the first electrical signal, the processor is connected to control the valve structure (220), and the control method of the intelligent negative pressure system for the stone crushing production line includes: K1 receives the first electrical signal sent by the first ring electrostatic sensor pair (230); K2. The concentration of dust particles in the corresponding sub-negative pressure tube (210) is calculated based on the first electrical signal as the first concentration; K3. The velocity of the dust particles in the corresponding sub-negative pressure tube (210) is calculated using the electrostatic mutual relationship method based on the first electrical signal as the first velocity; K4 receives the signal from the wind speed sensor (250) as the second speed; K5. Calculate the equivalent diameter of the dust particles based on the difference between the second speed and the first speed; K6. The first concentration is corrected to the third concentration based on the equivalent diameter of the dust particles.

5. The control method for the intelligent negative pressure system for a stone crushing production line according to claim 4, characterized in that, The step K6 is followed by: The signal sent by the valve structure (220) is the opening information; The operation of the valve structure (220) is controlled based on the relationship between the opening information and the third concentration.

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