Intelligent spray dust suppression system based on blanking impact identification

Abstract

This invention relates to the field of dust suppression spraying technology, and more particularly to an intelligent dust suppression spraying system based on impact recognition of falling materials. The system includes a data acquisition module; a data analysis module, used to determine whether to analyze the falling material type based on the presence and duration of an impact signal on the receiving device; a falling material type analysis module, used to analyze the falling material type based on the impact signal intensity and the real-time humidity of the receiving device; a diffusion trend analysis module, used to determine whether the dust generated by the falling material has a diffusion trend based on the falling material type and / or the fluctuation of the operating data of the receiving device in non-impact areas; and a spraying module, used to determine the spraying mode based on the falling material type and / or the diffusion trend of the dust generated by the falling material; thereby determining the dust area. This invention improves the accuracy of the spraying process control by improving the accuracy of falling material impact recognition.

Description

Technical Field

[0001] This invention relates to the field of spray dust suppression technology, and in particular to an intelligent spray dust suppression system based on material impact recognition. Background Technology

[0002] In industrial production, material unloading is a crucial step in the transfer and processing of bulk materials such as coal, ore, and building materials, and it is also one of the main sources of dust pollution. When materials fall from conveying equipment (such as belt conveyors and bucket elevators) to receiving devices (such as silos, crushers, and vibrating screens), a violent impact occurs between the materials and the receiving devices. This impact not only causes material particles to break and splash, but also disturbs the surrounding air, forming airflow vortices that cause a large amount of dust to escape from the receiving devices into the working environment. To solve the dust pollution problem in material unloading operations, the industry has successively adopted a variety of traditional dust suppression technologies. Enterprises use manual spraying dust suppression, which involves manually observing the material unloading operation and manually turning on the spraying equipment to spray water to reduce dust. However, this method has obvious lag and cannot reliably trigger the spraying.

[0003] Chinese Patent Application Publication No. CN113090024A discloses a dust suppression and cooling device for construction work surfaces in building engineering, including a dust collector and a support base. The dust collector includes two turntables. Multiple steel rings of equal diameter are arranged between the two turntables. A row of isolation plates is welded at intervals to the outside of the turntables and steel rings. The tangents at the welding points of the isolation plates and steel rings form an angle of 45-60°. Multiple reinforcing ribs are welded between adjacent isolation plates. The turntable includes an outer ring and an inner ring arranged concentrically. This invention's dust suppression and cooling device for construction work surfaces in building engineering can seal off falling materials, thereby achieving secondary dust containment, guiding fine particles downwards, and directly sucking up low-level primary dust and spraying water to remove high-level dust.

[0004] However, existing technologies still have the following problems:

[0005] The difficulty in accurately identifying key characteristics during material feeding operations and the inability to dynamically match dust diffusion direction with spray range necessitates an intelligent spray dust suppression system that can identify material impact and comprehensively analyze material characteristics, equipment operating status, and dust diffusion trends to solve the problems of uncontrollable dust diffusion direction and insufficient dust suppression accuracy caused by dry material rolling. Summary of the Invention

[0006] Therefore, this invention provides an intelligent spray dust suppression system based on material impact recognition to overcome the difficulty in accurately identifying key features in material dropping operations and the inability to dynamically match dust diffusion direction with spray range in existing technologies. There is an urgent need for an intelligent spray dust suppression system that can comprehensively analyze material characteristics, equipment operating status and dust diffusion trend based on material impact recognition, in order to solve the problems of uncontrollable dust diffusion direction and insufficient dust suppression accuracy caused by dry material rolling.

[0007] To achieve the above objectives, this invention provides an intelligent spray dust suppression system based on material impact recognition. It includes:

[0008] The data acquisition module is used to acquire impact signal data of the receiving device, real-time environmental data of the receiving device, and real-time operating data of the receiving device.

[0009] A data analysis module, which is connected to the data acquisition module, is used to determine whether to analyze the type of material falling based on whether there is an impact signal in the receiving device and the duration of the impact signal.

[0010] The material drop type analysis module is connected to the data analysis module and is used to calculate the material drop type tendency value based on the impact signal intensity and the real-time humidity of the receiving device, and to analyze the material drop type based on the material drop type tendency value.

[0011] A diffusion trend analysis module, which is connected to the material drop type analysis module, is used to determine whether the dust generated by the material drop has a diffusion trend based on the fluctuation of the material drop type and / or the operating data of the non-impact area receiving device.

[0012] The spray module, which is connected to both the material discharge type analysis module and the diffusion trend analysis module, includes:

[0013] The spray pattern determination unit is used to determine the spray pattern based on the type of material falling and / or whether the dust generated by the falling material has a diffusion tendency;

[0014] A dust area determination unit, which is connected to the spray pattern determination unit, is used to determine the dust area based on the spray pattern by either determining the material drop trajectory or by combining the fluctuation of the material drop impact center point with the operating data of the non-impact area receiving device.

[0015] The spray execution unit is connected to the spray mode determination unit and the dust area determination unit respectively, and is used to execute the corresponding spray mode on the dust area.

[0016] Furthermore, the data analysis module determines whether to analyze the material dropping type based on whether an impact signal exists in the receiving device and the duration of the impact signal.

[0017] If the receiving device has an impact signal and the duration of the impact signal is greater than or equal to a preset duration, the data analysis module determines the type of material to be dropped.

[0018] Furthermore, the material drop type analysis module calculates the material drop type tendency value based on the weighted sum of the ratio of the impact signal intensity to the preset impact signal intensity and the ratio of the preset humidity to the real-time humidity of the receiving device.

[0019] Furthermore, the material drop type analysis module analyzes the material drop type based on the material drop type tendency value, wherein,

[0020] If the material discharge type tendency value is greater than or equal to the preset material discharge type tendency value, the material discharge type analysis module determines that the material discharge type is a strong dust discharge type;

[0021] If the material drop type tendency value is less than the preset material drop type tendency value, the material drop type analysis module determines the material drop type to be a weak dust material drop type.

[0022] Furthermore, the diffusion trend analysis module determines whether the dust generated by the material discharge has a diffusion trend based on the fluctuation of the material discharge type and / or the operating data of the receiving device in the non-impact zone.

[0023] If the material dropping type is strong dust dropping type and the fluctuation of the operating data of the receiving device in the non-impact area is greater than or equal to the preset fluctuation level, the diffusion trend analysis module determines that the dust generated by the material dropping has a diffusion trend.

[0024] If the material discharge type is a weak dust discharge type or the fluctuation of the operating data of the receiving device in the non-impact area is less than the preset fluctuation level, the diffusion trend analysis module determines that the dust generated by the material discharge does not have a diffusion trend.

[0025] Furthermore, the spray pattern determination unit determines the spray pattern based on the type of material falling and / or whether the dust generated by the falling material has a diffusion tendency, wherein,

[0026] If the material dropping type is a weak dust dropping type or the dust generated by the dropping does not have a diffusion tendency, the spraying mode determination unit determines the spraying mode as a static spraying mode.

[0027] If the dust generated by the falling material has a tendency to spread, the spray mode determination unit determines the spray mode as a dynamic spray mode.

[0028] Furthermore, the dust area determination unit determines the dust area based on the spraying mode, either by the material drop trajectory or by the fluctuation of the material impact center combined with the operating data of the receiving device in the non-impact area.

[0029] If the spraying mode is static spraying mode, the dust area determination unit determines the dust area based on the material falling trajectory;

[0030] If the spraying mode is dynamic spraying mode, the dust area determination unit determines the dust area by combining the fluctuation of the material impact center point with the operating data of the receiving device in the non-impact area.

[0031] Furthermore, the dust area determination unit determines the dust area based on the material falling trajectory, wherein,

[0032] The dust area determination unit determines a preset spray area that covers the trajectory and extends along the direction of the dominant airflow based on the geometric features of the material falling trajectory and in combination with the dominant airflow vector inside the receiving device.

[0033] Furthermore, the dust area determination unit determines the dust area by combining the fluctuation degree of the material impact center point with the operating data of the receiving device in the non-impact area, wherein,

[0034] The dust area determination unit constructs a basic dust suppression area with the impact center point of the falling material as the origin, and calculates a turbulent expansion coefficient based on the fluctuation of the operating data of the receiving device in the non-impact area. The radius of the basic dust suppression area is multiplied by the turbulent expansion coefficient to determine the dust area.

[0035] Furthermore, the fluctuation level of the operating data of the non-impact receiving device is determined based on the weighted sum of the standard deviation of the vibration signal in the non-impact area, the current fluctuation rate of the drive motor, and the negative pressure change rate of the sealing mechanism.

[0036] Compared with the prior art, the beneficial effects of the present invention are as follows: The present invention adopts a dual judgment mechanism of pressure and acceleration sensors. Only when the signals of both sensors exceed the threshold is it determined to be a valid impact signal, thus eliminating the system false start caused by false alarms from a single sensor. The present invention also introduces a duration criterion. Even if a valid impact signal is detected, if its duration is too short (such as the falling of material fragments or non-continuous slight collisions), the system will not initiate complex material drop type analysis. This effectively filters out non-essential, non-dusty, instantaneous interference, avoids waste of system resources, and ensures the system's sensitive response to actual material drop operations.

[0037] Furthermore, this invention integrates impact intensity and environmental humidity factors, and through weighted summation and calculation of the material drop type tendency value, achieves a comprehensive dust risk assessment of material drop events, significantly improving the scientific rigor and accuracy of material drop type identification. Using a multiple linear regression model, the weights are determined based on the objective relationship between each factor and the actual dust concentration, ensuring that the proportions of impact and humidity factors in the decision-making process are scientifically reasonable. Through these methods, the system can classify material drop events into strong and weak dust types. For weak dust types, the system can activate low-intensity static spraying to save water and electricity resources; for strong dust types, it activates powerful dynamic spraying to ensure dust suppression effectiveness, achieving the optimal balance between dust suppression efficiency and resource consumption.

[0038] Furthermore, this invention analyzes the type of material falling with strong dust, considering that the material may move due to external factors during transportation after falling into the receiving device, leading to dust diffusion. Based on this situation, the dust diffusion area is analyzed in a targeted manner, and an appropriate spraying method is selected to improve the dust suppression effect and accuracy. When the falling material is of the weak dust type, or when there is no obvious fluctuation in the non-impact area (dust has not diffused), the system determines that there is no diffusion trend. Only when the material with strong dust falls and the data shows obvious fluctuations (dust has diffused) is it determined that there is a diffusion trend, thereby improving the dust suppression efficiency.

[0039] Furthermore, this invention introduces diffusion trend judgment, extending the dust suppression strategy from a single point to the entire field. By analyzing the operational data of non-impact areas, the system can indirectly sense the intensity of turbulence generated inside the receiving device due to factors such as equipment operation, material rolling, and airflow disturbance. This turbulence is the key driving force causing dust to diffuse outward from the source. Therefore, it can identify whether there is a secondary force promoting dust diffusion in addition to simple impact, thus addressing complex working conditions such as weak material impact but dust dispersion caused by equipment vibration. For weak dust or no diffusion trend, the dust risk is controllable, and the system uses static spraying, concentrating resources on points or lines to solve the problem at the lowest cost. For strong dust with a diffusion trend, it means that high-concentration dust may spread throughout the space under the drive of strong turbulence. The system immediately upgrades to dynamic spraying, covering the entire dynamic area to achieve precise dust suppression.

[0040] Furthermore, for low-risk scenarios (static mode), this invention employs a rectangular region determination method based on the material's trajectory and the dominant airflow. This method covers the main path of material descent and the dust carried away by the airflow, achieving effective dust suppression with minimal energy consumption and control complexity, thus avoiding resource waste. For high-risk scenarios (dynamic mode), a circular region determination method is adopted, based on the rectangular region in the static mode and dynamically adjusted by the turbulent expansion coefficient. This method uses the geometric features of the static region (circumcircle radius) as the base radius and calculates the turbulent expansion coefficient based on the fluctuation of the non-impact region's operating data to expand the base radius. This allows the dynamic spray range to adaptively adjust with the turbulence intensity, ensuring a reasonable connection between the dynamic and static spray ranges while effectively encapsulating the dust cloud during diffusion and preventing dust escape. By real-time monitoring of operating parameters such as vibration, current, and negative pressure and quantifying them as fluctuation levels, the system can perceive the amplification effect of the equipment's own operating status on dust diffusion, greatly improving the reliability of dust suppression under complex working conditions. Attached Figure Description

[0041] Figure 1 This is a schematic diagram of the intelligent spray dust suppression system based on material impact recognition according to the present invention;

[0042] Figure 2 This is a schematic diagram of the spray module in the intelligent spray dust suppression system based on material impact recognition of the present invention;

[0043] Figure 3 This is a flowchart of the material drop type analysis module in the intelligent spray dust suppression system based on material drop impact recognition of the present invention. Detailed Implementation

[0044] To make the objectives and advantages of the present invention clearer, the present invention will be further described below with reference to embodiments; it should be understood that the specific embodiments described herein are merely for explaining the present invention and are not intended to limit the present invention.

[0045] It should be noted that the data in this embodiment are all derived from a comprehensive analysis and evaluation of historical data from the six months prior to this determination and the corresponding historical determination results by the system described in this invention. Those skilled in the art will understand that the system described in this invention can determine the above-mentioned parameters for a single item by selecting the value with the highest proportion based on the data distribution as the preset standard parameter, using weighted summation to obtain the value as the preset standard parameter, substituting each historical data point into a specific formula and using the value obtained by that formula as the preset standard parameter, or other selection methods, as long as the system described in this invention can clearly define different specific situations in the single-item determination process through the obtained values.

[0046] Preferred embodiments of the present invention will now be described with reference to the accompanying drawings. Those skilled in the art should understand that these embodiments are merely illustrative of the technical principles of the present invention and are not intended to limit the scope of protection of the present invention.

[0047] Please see Figures 1-3 As shown, Figure 1 This is a schematic diagram of the intelligent spray dust suppression system based on material impact recognition according to the present invention; Figure 2 This is a schematic diagram of the spray module in the intelligent spray dust suppression system based on material impact recognition of the present invention; Figure 3 This is a flowchart of the material drop type analysis module in the intelligent spray dust suppression system based on material drop impact recognition of the present invention.

[0048] This invention relates to an intelligent spray dust suppression system based on material impact recognition, comprising:

[0049] The data acquisition module is used to acquire impact signal data of the receiving device, real-time environmental data of the receiving device, and real-time operating data of the receiving device.

[0050] A data analysis module, which is connected to the data acquisition module, is used to determine whether to analyze the type of material falling based on whether there is an impact signal in the receiving device and the duration of the impact signal.

[0051] The material drop type analysis module is connected to the data analysis module and is used to calculate the material drop type tendency value based on the impact signal intensity and the real-time humidity of the receiving device, and to analyze the material drop type based on the material drop type tendency value.

[0052] A diffusion trend analysis module, which is connected to the material drop type analysis module, is used to determine whether the dust generated by the material drop has a diffusion trend based on the fluctuation of the material drop type and / or the operating data of the non-impact area receiving device.

[0053] The spray module, which is connected to both the material discharge type analysis module and the diffusion trend analysis module, includes:

[0054] The spray pattern determination unit is used to determine the spray pattern based on the type of material falling and / or whether the dust generated by the falling material has a diffusion tendency;

[0055] A dust area determination unit, which is connected to the spray pattern determination unit, is used to determine the dust area based on the spray pattern by either determining the material drop trajectory or by combining the fluctuation of the material drop impact center point with the operating data of the non-impact area receiving device.

[0056] The spray execution unit is connected to the spray mode determination unit and the dust area determination unit respectively, and is used to execute the corresponding spray mode on the dust area.

[0057] In this embodiment of the invention, impact signal data can be acquired through pressure sensors and acceleration sensors. The impact signal data includes, but is not limited to, "impact intensity signal, impact duration signal, and impact frequency signal." Real-time environmental data of the receiving device can be collected through corresponding environmental sensors. The real-time environmental data of the receiving device includes, but is not limited to, "temperature data, humidity data, and wind speed data." The real-time operating data of the receiving device includes, but is not limited to, "vibration signal, drive motor current, and sealing mechanism negative signal." The spraying execution unit includes, but is not limited to, "spraying terminal equipment and control and drive components."

[0058] "And auxiliary support components."

[0059] Specifically, the data analysis module determines whether to analyze the material dropping type based on whether an impact signal exists in the receiving device and the duration of the impact signal.

[0060] If the receiving device has an impact signal and the duration of the impact signal is greater than or equal to a preset duration, the data analysis module determines the type of material to be dropped.

[0061] If the receiving device does not have an impact signal or the duration of the impact signal is less than the preset duration, the data analysis module determines that it is not necessary to analyze the material dropping type.

[0062] In this embodiment of the invention, determining whether an impact signal exists in the receiving device includes comparing the pressure value detected by the pressure sensor with a preset pressure threshold, and simultaneously comparing the acceleration value detected by the acceleration sensor with a preset acceleration threshold. If the pressure value is greater than or equal to the preset pressure threshold, and the acceleration value is greater than or equal to the preset acceleration threshold, it is determined that an impact signal exists in the receiving device. Conversely, if the pressure value is less than the preset pressure threshold, or the acceleration value is less than the preset acceleration threshold, it is determined that no impact signal exists in the receiving device. The preset pressure threshold is the minimum pressure value in the historical receiving process of the receiving device, the preset acceleration threshold is the minimum acceleration value in the historical receiving process of the receiving device, and the preset duration is the minimum duration of the impact signal in the historical receiving process of the receiving device. However, the above values ​​are not limited to these, and those skilled in the art can adjust them according to actual conditions.

[0063] This invention employs a dual judgment mechanism using pressure and acceleration sensors. Only when the signals from both sensors exceed the threshold is it determined to be a valid impact signal, eliminating false alarms from a single sensor that could cause the system to malfunction. It also introduces a duration criterion, ensuring that even if a valid impact signal is detected, the system will not initiate complex material drop type analysis if its duration is too short (e.g., falling material fragments or non-continuous minor collisions). This effectively filters out non-essential, non-dusty, transient interference, avoiding waste of system resources and ensuring a sensitive response to actual material drop operations.

[0064] Specifically, the material drop type analysis module calculates the material drop type tendency value based on the weighted sum of the ratio of the impact signal intensity to the preset impact signal intensity and the ratio of the preset humidity to the real-time humidity of the receiving device.

[0065] In this embodiment of the invention, the impact signal intensity is the sum of the pressure characteristic value and the acceleration characteristic value. The pressure characteristic value is the product of the peak pressure value and the duration of the impact signal. The acceleration characteristic value is the product of the square of the peak acceleration value and the duration of the impact signal. The preset impact signal intensity can be determined by collecting all impact event data of the receiving device during historical material receiving processes (e.g., the past 6 months), including the pressure characteristic value and acceleration characteristic value of each impact signal, and calculating the impact signal intensity of each impact. Based on the historical impact signal intensity data, the historical average value is calculated as the preset impact signal intensity. The preset humidity can be determined by collecting long-term environmental humidity data of the receiving device during historical material receiving processes. Based on the historical humidity data, a critical value that can effectively distinguish between dust-prone and dust-prone environments (taking the median of all historical humidity data) is calculated to obtain the preset humidity. The weights of the ratio of impact signal intensity to preset impact signal intensity and the ratio of preset humidity to real-time humidity of the receiving device can be determined by the following method: Collect a representative historical dataset, which should include the impact signal intensity and real-time humidity of each material dropping event; quantifiable actual dust concentration measurements corresponding to each material dropping event (as the target variable), which can be obtained by installing dust concentration sensors at the outlet or key areas of the receiving device; preprocess the data, calculate the independent variables for each sample, establish a multiple linear regression model, with actual dust concentration as the dependent variable and the ratio of impact signal intensity to preset impact signal intensity and the ratio of preset humidity to real-time humidity of the receiving device as independent variables, obtain the regression coefficients through model fitting, normalize the regression coefficients so that their sum is 1, and thus obtain the final weights. However, the above values ​​are not limited to these, and those skilled in the art can adjust them according to the actual situation.

[0066] Specifically, the material drop type analysis module analyzes the material drop type based on the material drop type tendency value, wherein,

[0067] If the material discharge type tendency value is greater than or equal to the preset material discharge type tendency value, the material discharge type analysis module determines that the material discharge type is a strong dust discharge type;

[0068] If the material drop type tendency value is less than the preset material drop type tendency value, the material drop type analysis module determines that the material drop type is a weak dust material drop type.

[0069] The preset material drop type tendency value described in this embodiment of the invention can be determined by the following method: collecting a historical dataset, which should include the material drop type tendency value calculated for each historical material drop event; an independent actual dust risk level label corresponding to each historical material drop event, which is not a continuous dust concentration value, but a classification result based on dust concentration sensor data, video monitoring, or manual recording; using the historical material drop type tendency value P as the test variable and the actual dust risk level as the state variable; plotting the receiver operating characteristic curve, calculating the Youden index corresponding to each threshold point on the curve, and selecting the material drop type tendency value corresponding to the maximum Youden index as the preset material drop type tendency value. However, the above value is not limited to this, and those skilled in the art can adjust it according to the actual situation.

[0070] This invention integrates impact intensity and environmental humidity factors, and through weighted summation and calculation of the material drop type tendency value, achieves a comprehensive dust risk assessment of material drop events, significantly improving the scientific rigor and accuracy of material drop type identification. Using a multiple linear regression model, the weights are determined based on the objective relationship between each factor and the actual dust concentration, ensuring a scientifically reasonable proportion of impact and humidity factors in the decision-making process. Through this method, the system can classify material drop events into strong and weak dust types. For weak dust types, the system can activate low-intensity static spraying to save water and electricity resources; for strong dust types, it activates powerful dynamic spraying to ensure dust suppression effectiveness, achieving an optimal balance between dust suppression efficiency and resource consumption.

[0071] Specifically, the diffusion trend analysis module determines whether the dust generated by the material discharge has a diffusion trend based on the fluctuation of the material discharge type and / or the operating data of the receiving device in the non-impact zone.

[0072] If the material dropping type is strong dust dropping type and the fluctuation of the operating data of the receiving device in the non-impact area is greater than or equal to the preset fluctuation level, the diffusion trend analysis module determines that the dust generated by the material dropping has a diffusion trend.

[0073] If the material discharge type is a weak dust discharge type or the fluctuation of the operating data of the receiving device in the non-impact area is less than the preset fluctuation level, the diffusion trend analysis module determines that the dust generated by the material discharge does not have a diffusion trend.

[0074] In this embodiment of the invention, the non-impact area is the area on the receiving device body located outside the influence range of the material drop impact point. It can be determined through historical material drop processes. The fluctuation degree of the receiving device's operating data in the non-impact area is determined based on the weighted sum of the vibration signal standard deviation, drive motor current fluctuation rate, and sealing mechanism negative pressure change rate of the non-impact area. The method for determining the weights of the vibration signal standard deviation, drive motor current fluctuation rate, and sealing mechanism negative pressure change rate is the same as the method for determining the weights of the ratio of the impact signal intensity to the preset impact signal intensity and the ratio of the preset humidity to the real-time humidity of the receiving device. The method for determining the preset fluctuation degree is the same as the method for determining the preset material drop type tendency value, and will not be repeated here. However, the above values ​​are not limited to these, and those skilled in the art can adjust them according to the actual situation.

[0075] This invention further analyzes the type of material falling with strong dust, considering that the material may move due to external factors during transportation after falling into the receiving device, leading to dust diffusion. Based on this situation, the dust diffusion area is analyzed in a targeted manner, and an appropriate spraying method is selected to improve the dust suppression effect and accuracy. When the falling material is of the weak dust type, or when there is no obvious fluctuation in the non-impact area (dust has not diffused), the system determines that there is no diffusion trend. Only when the material with strong dust falls and the data shows obvious fluctuations (dust has diffused) is it determined that there is a diffusion trend, thereby improving the dust suppression efficiency.

[0076] Specifically, the spray pattern determination unit determines the spray pattern based on the type of material falling and / or whether the dust generated by the falling material has a diffusion tendency, wherein,

[0077] If the material dropping type is a weak dust dropping type or the dust generated by the dropping does not have a diffusion tendency, the spraying mode determination unit determines the spraying mode as a static spraying mode.

[0078] If the dust generated by the falling material has a tendency to spread, the spray mode determination unit determines the spray mode as a dynamic spray mode.

[0079] In this embodiment of the invention, the static spraying mode is used to spray and suppress dust in a fixed and defined dust area; the dynamic spraying mode is used to spray and suppress dust in a defined but not fixed dust area.

[0080] This invention introduces diffusion trend judgment, extending the dust suppression strategy from a single point to the entire field. By analyzing the operational data of non-impact areas, the system can indirectly sense the intensity of turbulence generated inside the receiving device due to factors such as equipment operation, material rolling, and airflow disturbance. This turbulence is the key driving force causing dust to diffuse outward from the source. Therefore, it can identify whether there is a secondary force promoting dust diffusion in addition to simple impact, thus addressing complex working conditions such as weak material impact but dust dispersion caused by equipment vibration. For weak dust or no diffusion trend, the dust risk is controllable, and the system uses static spraying, concentrating resources on points or lines to solve the problem at the lowest cost. For strong dust with a diffusion trend, it means that high-concentration dust may spread throughout the space under the drive of strong turbulence. The system immediately upgrades to dynamic spraying, covering the entire dynamic area to achieve precise dust suppression.

[0081] Specifically, the dust area determination unit determines the dust area based on the spraying mode, either by the material drop trajectory or by the fluctuation of the material impact center combined with the operating data of the receiving device in the non-impact area.

[0082] If the spraying mode is static spraying mode, the dust area determination unit determines the dust area based on the material falling trajectory;

[0083] If the spraying mode is dynamic spraying mode, the dust area determination unit determines the dust area by combining the fluctuation of the material impact center point with the operating data of the receiving device in the non-impact area.

[0084] Specifically, the dust area determination unit determines the dust area based on the material falling trajectory, wherein...

[0085] The dust area determination unit determines a preset spray area that covers the trajectory and extends along the direction of the dominant airflow based on the geometric features of the material falling trajectory and in combination with the dominant airflow vector inside the receiving device.

[0086] This invention employs a lidar or vision sensor installed above or to the side of the material discharge port to acquire a series of position points during the material's descent. The least squares method is used to perform parabolic fitting on these position points, resulting in a parabolic equation that best approximates the actual trajectory. The parabola's starting point is the material discharge port outlet, and its ending point is the impact surface of the receiving device, outputting a geometric model of the material's descent path. The dominant airflow analysis involves inputting real-time environmental data from an anemometer and wind direction sensor installed inside the receiving device, provided by the data acquisition module. The analysis examines the average airflow direction within the receiving device during the material discharge process; for example, it analyzes the internal airflow... In a stable airflow from the impact point of the material drop towards the outlet (e.g., the direction of the conveyor belt), this direction is determined as the dominant airflow vector; Preset spray area generation: Based on the above information, the dust area determination unit synthesizes the final dust suppression area; Taking the fitted parabolic trajectory as the center line, it extends 0.3 meters to each side (which can be set according to the actual situation) to form a basic strip area; Along the direction of the dominant airflow vector, the length of this reference area is extended by another 1.5 meters from the end of the trajectory (which can be set according to the actual situation) to cover the fine dust carried away by the airflow; Output a rectangular preset spray area.

[0087] Specifically, the dust area determination unit determines the dust area by combining the fluctuation level of the material impact center point with the operating data of the receiving device in the non-impact area.

[0088] The dust area determination unit constructs a basic dust suppression area with the impact center point of the falling material as the origin, and calculates a turbulent expansion coefficient based on the fluctuation of the operating data of the receiving device in the non-impact area. The radius of the basic dust suppression area is multiplied by the turbulent expansion coefficient to determine the dust area.

[0089] In this embodiment of the invention, the determination of the dust area in the dynamic spray mode is based on the dust area in the static spray mode. The system first generates a rectangular basic dust suppression area, centered on the material drop trajectory, extending 0.3 meters to each side and 1.5 meters from the trajectory endpoint along the dominant airflow direction, according to the area determination method in the static spray mode. The length L0 and width W0 of this rectangular area are determined based on the actual material drop trajectory. For example, when the material drop trajectory length is 2.0 meters, the rectangular area length is L0 = 3.5 meters and the width is W0 = 0.6 meters. Next, the system uses the circumscribed circle radius of this rectangular area as the basic radius R0. For a rectangle with length L0 and width W0, its circumscribed circle radius R0 = Taking L0 = 3.5 meters and W0 = 0.6 meters as an example, we can calculate that R0 ≈ 1.775 meters.

[0090] The system collects real-time operating data of the receiving device and calculates its fluctuation level. For example, the standard deviation of the vibration signal in the non-impact area is 0.28 m / s², the current fluctuation rate of the drive motor is 9%, and the negative pressure change rate of the sealing mechanism is 15%. Using preset weights (vibration 0.4, current 0.3, negative pressure 0.3), a weighted calculation is performed, resulting in a comprehensive fluctuation level F = 0.4 × 0.28 + 0.3 × 0.09 + 0.3 × 0.15 = 0.112 + 0.027 + 0.045 = 0.184. Subsequently, the fluctuation level F is substituted into the formula K = 1 + 0.5 × F to calculate the turbulent expansion coefficient K = 1 + 0.5 × 0.184 = 1.092. Here, 0.5 is the expansion coefficient calibrated based on on-site dust diffusion experiment data. The radius of the basic dust suppression area is multiplied by K to determine the dust area. The dust area determination unit multiplies the base radius R0 by the turbulent expansion coefficient K to calculate the radius of the dust area requiring dust suppression in dynamic mode: R_dynamic = R0 × K = 1.775 m × 1.092 ≈ 1.938 m. Therefore, the system ultimately determines a circular area with a radius of 1.938 m centered at the center point of the rectangular base area (i.e., the impact center point of the falling material) as the target dust area in dynamic mode.

[0091] For low-risk scenarios (static mode), this invention employs a rectangular region determination method based on the material's trajectory and the dominant airflow. This method covers the main path of material descent and the dust carried away by the airflow, achieving effective dust suppression with minimal energy consumption and control complexity, thus avoiding resource waste. For high-risk scenarios (dynamic mode), a circular region determination method is adopted, based on the rectangular region in the static mode and dynamically adjusted by the turbulent expansion coefficient. This method uses the geometric features of the static region (circumcircle radius) as the base radius and calculates the turbulent expansion coefficient based on the fluctuation of the operating data in the non-impact region to expand the base radius. This allows the dynamic spray range to adaptively adjust with the turbulence intensity, ensuring a reasonable connection between the dynamic and static spray ranges while effectively encapsulating the dust cloud during diffusion and preventing dust escape. By real-time monitoring of operating parameters such as vibration, current, and negative pressure and quantifying them as fluctuation levels, the system can perceive the amplification effect of the equipment's own operating status on dust diffusion, greatly improving the reliability of dust suppression under complex working conditions.

[0092] The above description is merely a preferred embodiment of the present invention and is not intended to limit the present invention. For those skilled in the art, the present invention can have various modifications and variations. Any modifications, equivalent substitutions, improvements, etc., made within the spirit and principles of the present invention should be included within the protection scope of the present invention.

Claims

1. An intelligent spray dust suppression system based on material impact recognition, characterized in that, include: The data acquisition module is used to acquire impact signal data of the receiving device, real-time environmental data of the receiving device, and real-time operating data of the receiving device. A data analysis module, which is connected to the data acquisition module, is used to determine whether to analyze the type of material falling based on whether there is an impact signal in the receiving device and the duration of the impact signal. The material drop type analysis module is connected to the data analysis module and is used to calculate the material drop type tendency value based on the impact signal intensity and the real-time humidity of the receiving device, and to analyze the material drop type based on the material drop type tendency value. A diffusion trend analysis module, which is connected to the material drop type analysis module, is used to determine whether the dust generated by the material drop has a diffusion trend based on the fluctuation of the material drop type and / or the operating data of the non-impact area receiving device. The spray module, which is connected to both the material discharge type analysis module and the diffusion trend analysis module, includes: The spray pattern determination unit is used to determine the spray pattern based on the type of material falling and / or whether the dust generated by the falling material has a diffusion tendency; A dust area determination unit, which is connected to the spray pattern determination unit, is used to determine the dust area based on the spray pattern by either determining the material drop trajectory or by combining the fluctuation of the material drop impact center point with the operating data of the non-impact area receiving device. A spraying execution unit is connected to the spraying mode determination unit and the dust area determination unit respectively, and is used to execute a corresponding spraying mode on the dust area; The data analysis module determines whether to analyze the material dropping type based on whether an impact signal exists in the receiving device and the duration of the impact signal. If the receiving device has an impact signal and the duration of the impact signal is greater than or equal to a preset duration, the data analysis module determines the type of material to be dropped. The material drop type analysis module calculates the material drop type tendency value based on the weighted sum of the ratio of the impact signal intensity to the preset impact signal intensity and the ratio of the preset humidity to the real-time humidity of the receiving device. The material drop type analysis module analyzes the material drop type based on the material drop type tendency value, wherein, If the material discharge type tendency value is greater than or equal to the preset material discharge type tendency value, the material discharge type analysis module determines that the material discharge type is a strong dust discharge type; If the material discharge type tendency value is less than the preset material discharge type tendency value, the material discharge type analysis module determines that the material discharge type is a weak dust discharge type; The diffusion trend analysis module determines whether the dust generated by the material discharge has a diffusion trend based on the fluctuation of the material discharge type and / or the operating data of the receiving device in the non-impact zone. If the material dropping type is strong dust dropping type and the fluctuation of the operating data of the receiving device in the non-impact area is greater than or equal to the preset fluctuation level, the diffusion trend analysis module determines that the dust generated by the material dropping has a diffusion trend. If the material feeding type is a weak dust feeding type or the fluctuation of the operating data of the non-impact zone receiving device is less than the preset fluctuation level, the diffusion trend analysis module determines that the dust generated by the material feeding does not have a diffusion trend. The spray pattern determination unit determines the spray pattern based on the type of material falling and / or whether the dust generated by the falling material has a diffusion tendency, wherein, If the material dropping type is a weak dust dropping type or the dust generated by the dropping does not have a diffusion tendency, the spraying mode determination unit determines the spraying mode as a static spraying mode. If the dust generated by the falling material has a tendency to spread, the spray mode determination unit determines the spray mode as a dynamic spray mode; The dust area determination unit determines the dust area based on the spraying mode, either by the material falling trajectory or by the fluctuation of the material impact center point combined with the operating data of the receiving device in the non-impact area. If the spraying mode is static spraying mode, the dust area determination unit determines the dust area based on the material falling trajectory; If the spraying mode is dynamic spraying mode, the dust area determination unit determines the dust area by combining the fluctuation of the material impact center point with the operating data of the receiving device in the non-impact area.

2. The intelligent spray dust suppression system based on material impact recognition according to claim 1, characterized in that, The dust area determination unit determines the dust area based on the material falling trajectory, wherein... The dust area determination unit determines a preset spray area that covers the trajectory and extends along the direction of the dominant airflow based on the geometric features of the material falling trajectory and in combination with the dominant airflow vector inside the receiving device.

3. The intelligent spray dust suppression system based on material impact recognition according to claim 1, characterized in that, The dust area determination unit determines the dust area by combining the fluctuation level of the material impact center point with the operating data of the receiving device in the non-impact area. The dust area determination unit constructs a basic dust suppression area with the impact center point of the falling material as the origin, and calculates a turbulent expansion coefficient based on the fluctuation of the operating data of the receiving device in the non-impact area. The radius of the basic dust suppression area is multiplied by the turbulent expansion coefficient to determine the dust area.

4. The intelligent spray dust suppression system based on material impact recognition according to claim 2, characterized in that, The fluctuation of the operating data of the receiving device in the non-impact zone is determined by a weighted sum of the standard deviation of the vibration signal in the non-impact zone, the fluctuation rate of the drive motor current, and the negative pressure change rate of the sealing mechanism.

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