Industrial dust explosion prevention purging method, system and apparatus

Abstract

The present application relates to the technical field of dust blowing, in particular to an industrial dust explosion-proof blowing method, system and equipment, based on the wind speed response time difference and the position relationship of any two monitoring points in the electrical equipment, the spatial adjacency of the wind speed flow lines of any two monitoring points is determined, so as to determine the monitoring points in the same wind speed flow line; according to the difference between the dust concentration of each monitoring point and other dust concentration in the same wind speed flow line, the dust deposition degree of each monitoring point is obtained; the maximum dust deposition degree on the wind speed flow line is determined, and the blowing speed of the wind speed flow line is regulated combined with the wind speed of each monitoring point on the wind speed flow line, compared with the traditional fixed wind speed mode, according to the regulation mode of the blowing speed matched with the wind speed flow line, the blowing effect of the dust deposition at the position of the wind speed flow line can be improved, the dust blowing effect is improved, so as to reduce the safety hidden danger when the electrical equipment starts to run.

Description

Technical Field

[0001] This invention relates to the field of dust purging technology, specifically to an industrial dust explosion-proof purging method, system, and equipment. Background Technology

[0002] Industrial dust typically exists inside electrical equipment. Industrial dust explosion-proof purging equipment is fixed to the side of electrical equipment (such as industrial explosion-proof equipment). Before operation, this equipment replaces the gas containing industrial dust inside the equipment, reducing the dust concentration below the explosion limit to ensure safety during startup and operation. However, in actual operation, the dust concentration inside the equipment can fluctuate significantly due to the influence of the purging airflow, increasing the risk of dust explosion. Furthermore, when gas is blown into the equipment, the complex internal structure restricts gas flow, resulting in varying flow velocities at different locations. This airflow disturbance also causes deposited dust to float and mix rapidly with the air, increasing the dust concentration and further compromising the equipment's safety.

[0003] When detecting dust concentration inside electrical equipment, static electricity and oil vapors can cause some dust particles to adhere to the inner walls of the equipment. The complex internal structure of electrical equipment and varying wind speeds at different locations make it difficult to completely remove dust deposits, potentially posing a safety hazard during startup. Current methods to address this issue primarily involve installing multiple purge air inlets on the equipment and blowing gas into each inlet at a fixed wind speed. However, due to the varying structural differences within the equipment and the varying degrees of dust accumulation at different locations, using a fixed wind speed may result in some dust deposits remaining unremoved, affecting the dust removal effect and still posing a safety hazard during equipment startup. Summary of the Invention

[0004] To address the technical problem that existing industrial dust explosion-proof purging methods affect the dust purging effect, the present invention aims to provide an industrial dust explosion-proof purging method, system, and equipment, the specific technical solution of which is as follows:

[0005] In a first aspect of the present invention, an industrial dust explosion-proof purging method is provided, comprising:

[0006] Based on the difference in wind speed response time and positional relationship between any two monitoring points inside the electrical equipment, the spatial adjacency of the wind speed streamlines of any two monitoring points is determined; the spatial adjacency of the wind speed streamlines represents the possibility that any two monitoring points are on the same wind speed streamline.

[0007] Based on the spatial adjacency of wind speed streamlines, monitoring points located on the same wind speed streamline are determined;

[0008] Based on the difference in dust concentration between each monitoring point and other monitoring points on the same wind speed streamline, and combined with the tortuosity of the wind speed streamline, the degree of dust deposition at each monitoring point is obtained; the tortuosity of the wind speed streamline represents the change in the wind speed streamline caused by the influence of the internal structure of the electrical equipment between any two monitoring points.

[0009] The maximum dust deposition level along the wind speed streamline is determined, and the purging wind speed along the wind speed streamline is adjusted in combination with the wind speed at each monitoring point along the wind speed streamline.

[0010] In an exemplary embodiment, the process of obtaining the spatial adjacency of wind speed streamlines includes:

[0011] Obtain the spatial distance and distance difference between any two monitoring points; the distance difference is the difference in spatial distance between any two monitoring points and the air inlet of the electrical equipment.

[0012] Based on the spatial distance, distance difference, and wind speed response time difference, the spatial adjacency of wind speed streamlines between any two monitoring points is obtained; the spatial adjacency of wind speed streamlines is inversely correlated with the spatial distance, distance difference, and wind speed response time difference.

[0013] In an exemplary embodiment, the process of obtaining the wind speed streamline tortuosity includes:

[0014] Obtain the wind direction fluctuation difference between any two monitoring points; the wind direction fluctuation difference is the difference between the degree of wind direction fluctuation between any two monitoring points within a preset time period;

[0015] Based on the differences in wind direction fluctuations, spatial distance, wind speed response time, and wind speed between any two monitoring points, the wind speed streamline bending property of any two monitoring points is obtained; the wind speed streamline bending property is positively correlated with the differences in wind direction fluctuations, wind speed response time, and wind speed, and negatively correlated with the spatial distance.

[0016] In an exemplary embodiment, the industrial dust explosion-proof purging method further includes: correcting the spatial adjacency of the wind speed streamlines based on the bendability of the wind speed streamlines to obtain the target wind speed streamline spatial adjacency;

[0017] Accordingly, determining the monitoring points located on the same wind speed streamline based on the spatial adjacency of the wind speed streamlines specifically means: determining the monitoring points located on the same wind speed streamline based on the spatial adjacency of the target wind speed streamlines.

[0018] In an exemplary embodiment, the process of correcting the spatial adjacency of the wind speed streamlines includes:

[0019] The correction coefficient is obtained based on the wind speed streamline bendability and wind speed response time difference between any two monitoring points; the correction coefficient is inversely correlated with the wind speed streamline bendability and positively correlated with the wind speed response time difference.

[0020] Based on the correction coefficient, the spatial adjacency of wind speed streamlines between any two monitoring points is corrected.

[0021] In an exemplary embodiment, determining monitoring points located on the same wind speed streamline based on the spatial adjacency of the target wind speed streamline includes:

[0022] Starting from any preset initial monitoring point, other monitoring points that meet the screening criteria are identified as the first traversed monitoring points; the screening criteria are: the spatial distance between two monitoring points is within a preset distance range, and the spatial adjacency of the target wind speed streamlines of the two monitoring points meets the preset conditions.

[0023] Based on the first traversed monitoring point, other monitoring points that meet the screening criteria are identified as the second traversed monitoring point; based on the second traversed monitoring point, other monitoring points that meet the screening criteria are identified as the third traversed monitoring point; and so on, until the screening criteria are no longer met, thus obtaining a wind speed streamline.

[0024] By traversing each preset starting monitoring point, several wind speed streamlines are obtained.

[0025] In an exemplary embodiment, the process of obtaining the degree of dust deposition includes:

[0026] Determine the difference in dust concentration between the target monitoring point and the reference monitoring point; the target monitoring point is any monitoring point, and the reference monitoring point is any monitoring point among the other monitoring points located on the same wind speed streamline as the target monitoring point;

[0027] Based on the difference in dust concentration between the target monitoring point and the reference monitoring point, as well as the tortuosity of the wind speed streamline, the dust deposition index of the target monitoring point and the reference monitoring point is determined.

[0028] By integrating the dust deposition indices of the target monitoring point with those of all reference monitoring points, the degree of dust deposition at the target monitoring point is obtained.

[0029] In an exemplary embodiment, the process of regulating the sweeping wind speed of the wind velocity streamline includes:

[0030] The purging wind speed control index of the wind speed streamline is obtained based on the maximum dust deposition degree and the average wind speed at the monitoring points. The purging wind speed control index is positively correlated with the maximum dust deposition degree and negatively correlated with the average wind speed at the monitoring points. The average wind speed at the monitoring points is the average wind speed at each monitoring point on the wind speed streamline. The maximum dust deposition degree is the maximum value among the dust deposition degrees at each monitoring point on the wind speed streamline. The purging wind speed control index is used to indicate and control the wind speed on the wind speed streamline.

[0031] In a second aspect of the present invention, an industrial dust explosion-proof purging system is provided, comprising: a memory and a processor; the memory is connected to the processor; the memory is used to store program instructions; the processor is used to implement the above-described industrial dust explosion-proof purging method when the program instructions are executed.

[0032] In a third aspect of the invention, an industrial dust explosion-proof purging device is provided, comprising a computer-readable storage medium storing a computer program that, when executed by a processor, implements the steps described in the embodiments of the industrial dust explosion-proof purging method.

[0033] This invention has the following beneficial effects: First, the spatial adjacency of the wind speed streamlines of any two monitoring points inside the electrical equipment is determined, thereby identifying the monitoring points located on the same wind speed streamline, thus obtaining various wind speed streamlines. Based on the difference in dust concentration between monitoring points on the same wind speed streamline and the tortuosity of the wind speed streamline, the degree of dust deposition at each monitoring point is obtained. Then, based on the maximum degree of dust deposition on the wind speed streamline and the wind speed at each monitoring point on the wind speed streamline, the blowing speed of the wind speed streamline is adjusted. Using this method, the adjustment method of the blowing speed adapted to the specific conditions of different wind speed streamlines can be determined. Compared with the traditional method of using a fixed wind speed, the adjustment method of the blowing speed adapted to the wind speed streamline can improve the dust deposition at the location of the wind speed streamline, thereby improving the dust removal effect and reducing safety hazards during the start-up and operation of electrical equipment. Attached Figure Description

[0034] Figure 1 This is a flowchart of the steps of an industrial dust explosion-proof purging method provided in one embodiment of the present invention;

[0035] Figure 2 This is a flowchart of obtaining the spatial adjacency of wind speed streamlines provided in one embodiment of the present invention;

[0036] Figure 3This is a flowchart of obtaining the wind speed streamline bending property according to an embodiment of the present invention;

[0037] Figure 4 This is a flowchart illustrating the correction of spatial adjacency of wind speed streamlines provided in one embodiment of the present invention;

[0038] Figure 5 This is a flowchart illustrating the process of obtaining the degree of dust deposition according to an embodiment of the present invention. Detailed Implementation

[0039] To further illustrate the technical means and effects adopted by the present invention to achieve its intended purpose, the specific implementation methods, structures, features, and effects of the present invention are described in detail below with reference to the accompanying drawings and preferred embodiments. In the following description, different "one embodiment" or "another embodiment" do not necessarily refer to the same embodiment. Furthermore, specific features, structures, or characteristics in one or more embodiments can be combined in any suitable form.

[0040] Unless otherwise defined, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this invention pertains. All data and information collected in this application have been obtained with full consent.

[0041] This invention provides an industrial dust explosion-proof purging method for regulating the purging flow rate inside electrical equipment to avoid mismatch between the flow rate of the blown gas and the actual situation inside the electrical equipment, thereby ensuring the degree of dust removal inside the electrical equipment and reducing the possibility of dust explosion inside the electrical equipment.

[0042] The industrial dust explosion-proof purging method provided by this invention is applicable to electrical equipment, which has an internal cavity. The electrical equipment is equipped with a purging device fixed beside it. An air inlet is provided on the casing of the electrical equipment for communication with the purging device, allowing the purging device to blow gas into the interior of the electrical equipment. In an exemplary embodiment, the blown gas is a chemically stable gas, such as nitrogen, or other inert gases.

[0043] Multiple monitoring points are set within the internal space of the electrical equipment, with the number determined by actual needs. The location of each monitoring point is determined by the specific internal structure of the electrical equipment. In one exemplary embodiment, the monitoring points are distributed throughout the internal space of the electrical equipment, and the distance between adjacent monitoring points is set according to actual conditions. Once the location of each monitoring point is determined, the spatial distance between any two monitoring points within the electrical equipment can also be determined; the spatial distance is the straight-line distance between the two monitoring points. This embodiment can construct a spatial model of the internal space of the electrical equipment, with the sensors of each monitoring point located at different positions within this spatial model.

[0044] Initially, the electrical equipment casing has an air inlet and an air outlet. The purpose of this invention, a dust explosion-proof purging method, is to analyze data from various monitoring points to identify areas where dust easily accumulates. Based on the dust concentration at these locations, the purging air velocity is adjusted to more thoroughly remove dust from the interior of the electrical equipment, reducing safety hazards caused by dust. Furthermore, the method determines the number and location of air inlets required on the electrical equipment to enhance dust removal and reduce the possibility of dust explosions inside the equipment.

[0045] Each monitoring point is equipped with a sensor to detect relevant data at its location. In an exemplary embodiment, the sensors at the monitoring point include a wind speed sensor and a dust concentration sensor. The wind speed sensor detects the wind speed and direction (i.e., wind direction), while the dust concentration sensor detects the dust concentration at the monitoring point. It should be understood that the selection of the wind speed sensor and dust concentration sensor is determined by actual needs. In an exemplary embodiment, low-power sensors are preferred, and these sensors can be powered by small, high-capacity power supplies such as button batteries. Data transmission can be performed using low-power wireless communication modules (such as Bluetooth modules), eliminating the need for internal wiring in the electrical equipment. The sampling frequency of the sensors is set according to actual needs, such as 0.1 seconds per sampling.

[0046] like Figure 1 As shown, the industrial dust explosion-proof purging method provided in this embodiment includes the following steps:

[0047] Step 1: Based on the difference in wind speed response time and positional relationship between any two monitoring points inside the electrical equipment, determine the spatial adjacency of the wind speed streamlines between any two monitoring points;

[0048] Step 2: Determine the monitoring points located on the same wind speed streamline based on the spatial adjacency of the wind speed streamlines;

[0049] Step 3: Based on the difference in dust concentration between each monitoring point and other monitoring points on the same wind speed streamline, and combined with the tortuosity of the wind speed streamline, the degree of dust deposition at each monitoring point is obtained;

[0050] Step 4: Determine the maximum dust deposition level along the wind speed streamline, and adjust the purging wind speed of the wind speed streamline based on the wind speed at each monitoring point along the wind speed streamline.

[0051] The specific implementation process of each step is described below with reference to the accompanying drawings.

[0052] Step 1: Based on the difference in wind speed response time and positional relationship between any two monitoring points inside the electrical equipment, determine the spatial adjacency of the wind speed streamlines of any two monitoring points.

[0053] Gas is blown into the electrical equipment through the air inlet. As the gas flows inside, its complex internal structure and the varying distances between sensors at different monitoring points and these internal components obstruct the airflow. This causes the initially uniform gas to be blocked by the edges of the components, resulting in gas diversion. Furthermore, changes in the spatial interface create eddies in the corners of the equipment, leading to energy attenuation and significant variations in gas velocity. Simultaneously, the convergence and collision of airflows from different streamlines create non-uniform turbulence. Consequently, the perceived wind speed varies at different monitoring points, making dust accumulation more likely.

[0054] Because airflow moves from the air inlet to a region farther away from the air inlet (i.e., the air outlet), meaning gas always flows from the area near the air inlet to the area farther away. Therefore, if any monitoring point satisfies the following conditions: the spatial distance from one monitoring point to the air inlet is greater than the spatial distance from the other monitoring point to the air inlet, and the spatial distance between these two monitoring points is small, and the wind speed detection response time of the monitoring point with the larger distance is later than the wind speed detection response time of the monitoring point with the smaller distance, then these two monitoring points are likely adjacent monitoring points on the same wind speed streamline.

[0055] Therefore, we will take any two monitoring points inside the electrical equipment as an example for explanation. Based on the difference in wind speed response time and positional relationship between any two monitoring points inside the electrical equipment, we determine the spatial adjacency of the wind speed streamlines of any two monitoring points. The spatial adjacency of the wind speed streamlines characterizes the possibility that the two monitoring points are on the same wind speed streamline.

[0056] In one exemplary embodiment, such as Figure 2 As shown, the following is a specific process for obtaining the spatial adjacency of wind speed streamlines:

[0057] Step 1-1: Obtain the spatial distance and distance difference between any two monitoring points.

[0058] For ease of explanation, let's define any two monitoring points as the x-th monitoring point and the z-th monitoring point. Obtain the spatial distance between the x-th and z-th monitoring points inside the electrical equipment, i.e., the straight-line distance between the two monitoring points. Obtain the spatial distance between the x-th monitoring point and the air inlet of the electrical equipment, specifically the spatial distance between the center point of the x-th monitoring point and the air inlet of the electrical equipment, and also obtain the spatial distance between the z-th monitoring point and the air inlet of the electrical equipment. Then, calculate the difference between the spatial distance between the x-th and the air inlet of the electrical equipment and the spatial distance between the z-th and the air inlet of the electrical equipment; specifically, the absolute value of the difference between these two spatial distances is taken as the distance difference between the x-th and z-th monitoring points.

[0059] Step 1-2: Based on the spatial distance, distance difference, and wind speed response time difference, obtain the spatial adjacency of the wind speed streamlines of any two monitoring points.

[0060] Using the start of ventilation to the electrical equipment as the starting time and the moment when wind speed is detected at the xth monitoring point as the ending time, the time interval between the ending time and the starting time is taken as the wind speed response time of the xth monitoring point. Similarly, using the start of ventilation to the electrical equipment as the starting time and the moment when wind speed is detected at the zth monitoring point as the ending time, the time interval between the ending time and the starting time is taken as the wind speed response time of the zth monitoring point. The time interval between the wind speed response time of the xth monitoring point and the wind speed response time of the zth monitoring point is determined as the difference in wind speed response time between the xth and zth monitoring points. For example, if the wind speed response time of the xth monitoring point is 1.5 seconds and the wind speed response time of the zth monitoring point is 1.9 seconds, then the difference in wind speed response time between the xth and zth monitoring points is 0.4 seconds.

[0061] The smaller the spatial distance between monitoring point x and monitoring point z, the closer they are, and the higher the probability that they lie on the same wind speed streamline, meaning their wind speed streamlines are more spatially adjacent. Similarly, the smaller the distance difference between monitoring points x and z, the smaller the difference in their distances to the air inlet, further indicating that the closer they are, the higher the probability that they lie on the same wind speed streamline, again demonstrating strong spatial adjacency. Furthermore, the smaller the difference in wind speed response time between monitoring points x and z, the closer they are, again indicating that their wind speed streamlines are more likely to lie on the same wind speed streamline, again demonstrating strong spatial adjacency. Therefore, the spatial adjacency of wind speed streamlines is inversely correlated with spatial distance, distance difference, and wind speed response time difference.

[0062] In an exemplary embodiment, the following is a specific quantification method for the spatial adjacency of the wind speed streamlines between the x-th monitoring point and the z-th monitoring point:

[0063]

[0064] Among them, y zx This indicates the spatial adjacency of the wind speed streamlines between the x-th and z-th monitoring points; zx l represents the spatial distance between the x-th monitoring point and the z-th monitoring point. x l represents the spatial distance between the x-th monitoring point and the air inlet. z |l represents the spatial distance between the z-th monitoring point and the air inlet. x -l z | represents the distance difference between the x-th monitoring point and the z-th monitoring point; t zx This represents the difference in wind speed response time between the x-th and z-th monitoring points. exp represents an exponential function with the natural constant e as the base, and exp(-) is essentially a negative correlation normalization.

[0065] In the above calculation formula, the spatial distance, distance difference, and wind speed response time difference are negatively correlated and normalized respectively. Then, the data information of these three aspects after negative correlation normalization is weighted and summed, with each weight being 1 / 3, so as to integrate the three and obtain the spatial adjacency of wind speed streamlines.

[0066] Because the internal structure of electrical equipment is complex and unknown, and due to obstructions from internal components, the internal airflow may encounter bends and turns. For example, if there is a bend between two nearby monitoring points, the wind speed streamline will bend. Therefore, judging whether multiple monitoring points belong to the same wind speed streamline based solely on the spatial adjacency of the wind speed streamline is inaccurate. Moreover, when gas flow encounters a bend inside the equipment and is obstructed by internal components, the airflow direction changes significantly, lengthening the actual path of the gas flow and increasing the difference in wind speed response time between the two monitoring points. Simultaneously, due to the obstruction and change in flow direction, the gas velocity becomes turbulent at the bend, generating eddies. These eddies consume energy, resulting in a significant decrease in wind speed in the bend area. For detailed theory, please refer to the paper: "Research on Directional Spray Dust Suppression Based on Airflow Motion Characteristics".

[0067] Therefore, as a preferred embodiment, the industrial dust explosion-proof purging method provided by the present invention further includes: correcting the spatial adjacency of the wind speed streamlines of any two monitoring points based on the tortuosity of the wind speed streamlines, wherein the corrected spatial adjacency of the wind speed streamlines is defined as the target wind speed streamline spatial adjacency. Accordingly, step 2 below: determining the monitoring points located on the same wind speed streamline based on the spatial adjacency of the wind speed streamlines specifically involves: determining the monitoring points located on the same wind speed streamline based on the target wind speed streamline spatial adjacency.

[0068] The bendability of the wind speed streamline between any two monitoring points characterizes the changes in the wind speed streamline caused by the internal structure of the electrical equipment. Specifically, the greater the difference in wind speed response time, the greater the change in airflow direction, and the more significant the decrease in wind speed, the greater the likelihood of a bend in the equipment between the two monitoring points. This logic is used to determine the bendability of the wind speed streamline between any two monitoring points. In an exemplary embodiment, such as... Figure 3 As shown, the following is a specific process for obtaining the bendability of wind speed streamlines:

[0069] Steps 1-3: Obtain the wind direction fluctuation difference between any two monitoring points.

[0070] A preset time period is defined, the length of which is set according to actual needs. In this embodiment, the preset time period is 1 second long. The start time of this preset time period is the moment when the corresponding monitoring point begins to detect wind speed.

[0071] For the x-th monitoring point, timing begins at the moment wind speed is detected at the x-th monitoring point. Within this preset time period, the wind direction at each moment is acquired; the wind direction is the direction of gas flow. If turbulence occurs at the location of the monitoring point, the wind direction at each moment within this preset time period will not be unique, and multiple different wind directions will exist. This allows us to obtain the degree of fluctuation in wind direction at each moment within this preset time period. In an exemplary embodiment, a three-dimensional coordinate system is constructed, and based on this three-dimensional coordinate system, the direction vector corresponding to the wind direction at each moment is determined according to the wind direction at the x-th monitoring point within this preset time period. The direction vector is normalized to obtain the unit direction vector at each moment. For example, the direction vector at the i-th moment within this preset time period for the x-th monitoring point is... x x,i y x,i and z x,i Let x, y, and z be the x-axis components, y-axis components, and z-axis components of the direction vector at time i within the preset time period for the x-th monitoring point. Normalization is performed, resulting in a unit direction vector. for:

[0072]

[0073] This allows us to obtain the unit direction vector at each moment within the preset time period for the x-th monitoring point.

[0074] The arithmetic mean of the unit direction vectors at all times within the preset time period for the x-th monitoring point is calculated to obtain the average direction vector. Specifically as follows:

[0075]

[0076] Where I represents the number of moments within the preset time period.

[0077] Calculate the average direction vector Length of the module

[0078]

[0079] The degree of wind direction fluctuation at the xth monitoring point at each moment within the preset time period is represented by the variance Var of the wind direction at each moment. x Variance Var x for When the wind direction at the xth monitoring point is completely consistent at all times within the preset time period, Equal to 1, variance Var x The value is 0; when the wind direction at the x-th monitoring point is evenly distributed at each moment within the preset time period, Equal to 0, variance Var x Since the variance is 1, the variance range is [0, 1].

[0080] Using the above method, the variance of wind direction at each monitoring point at each moment within the preset time period is obtained. The larger the variance of wind direction, the greater the probability of turbulence occurring at the monitoring point, which also means a greater probability of encountering equipment corners.

[0081] Calculate the absolute value of the difference between the variance of the wind direction at monitoring point x and the variance of the wind direction at monitoring point z, and use this as the wind direction fluctuation difference between monitoring point x and monitoring point z. The wind direction fluctuation difference is the difference in the degree of wind direction fluctuation between monitoring point x and monitoring point z within a preset time period.

[0082] Steps 1-4: Based on the differences in wind direction fluctuations, spatial distance, wind speed response time, and wind speed between any two monitoring points, obtain the wind speed streamline tortuosity of any two monitoring points.

[0083] The wind speed at monitoring point x is determined at each moment within a preset time period, and then the average value is calculated to obtain the wind speed at monitoring point x. Similarly, the wind speed at monitoring point z is determined at each moment within the preset time period, and then the average value is calculated to obtain the wind speed at monitoring point z. The wind speed at each monitoring point is obtained in this way. Then, the wind speed difference between monitoring point x and monitoring point z is calculated, specifically the absolute value of the difference in wind speed.

[0084] The greater the difference in wind direction fluctuation between monitoring point x and monitoring point z, the greater the likelihood that the gas flow between them will encounter equipment corners, and the greater the bend in the wind speed streamline between them. The ratio of the difference in wind speed response time between monitoring points x and z to the spatial distance between them is used as the complexity of the wind speed streamline between monitoring points x and z. A larger ratio indicates higher complexity of the wind speed streamline between monitoring points x and z, and a greater likelihood of bend in the wind speed streamline. A weight for wind speed streamline complexity is obtained based on the complexity of the wind speed streamline between monitoring points x and z. A greater difference in wind speed between monitoring points x and z indicates a greater likelihood that the gas flow between them will encounter equipment corners, and the greater the bend in the wind speed streamline between them. Therefore, in terms of correlation, the tortuosity of wind streamlines is positively correlated with differences in wind direction fluctuations, wind speed response time, and wind speed differences, and negatively correlated with spatial distance.

[0085] In one exemplary embodiment, a specific method for quantifying the bendability of wind speed streamlines is given below:

[0086]

[0087] Among them, u zx The s represents the bendability of the wind speed streamline between the x-th and z-th monitoring points. z Let s represent the variance of the wind direction at the z-th monitoring point. x Let |s| represent the variance of the wind direction at the x-th monitoring point. z -s x | represents the difference in wind direction fluctuation between the x-th monitoring point and the z-th monitoring point, v z Let v represent the wind speed at the z-th monitoring point. x Let |v| represent the wind speed at the x-th monitoring point. z -v x | represents the wind speed difference between the x-th monitoring point and the z-th monitoring point. zx t represents the spatial distance between the x-th monitoring point and the z-th monitoring point. zxThis represents the difference in wind speed response time between the x-th and z-th monitoring points. `norm` represents the normalization function; in this embodiment, all normalization functions can be sigmoid functions. The above calculation formula is essentially a weighted sum of two aspects, with each weight being 0.5.

[0088] Then, based on the wind speed streamline deflection u at the x-th monitoring point and the z-th monitoring point... zx The spatial adjacency of the wind speed streamlines between the x-th and z-th monitoring points is corrected, such as... Figure 4 As shown, a specific correction process is given below:

[0089] Steps 1-5: Obtain correction coefficients based on the wind speed streamline bending and wind speed response time difference between any two monitoring points.

[0090] When there is a corner between the x-th and z-th monitoring points, misjudgment may occur due to the complexity of the actual gas streamline path. Therefore, the greater the bend in the wind speed streamline between the x-th and z-th monitoring points, the greater the likelihood of a corner between them, requiring a reduction in the spatial adjacency of the wind speed streamlines between them. In other words, the correction coefficient is inversely correlated with the bend in the wind speed streamline. The greater the difference in wind speed response time between the x-th and z-th monitoring points, the larger the correction coefficient, and the correction coefficient is positively correlated with the difference in wind speed response time. In an exemplary embodiment, a specific quantification method for the correction coefficient is given below:

[0091] d zx =norm(t) zx )×(1-u zx );

[0092] Where, d zx This represents the correction coefficient between the x-th monitoring point and the z-th monitoring point; u zx This indicates the bendability of the wind speed streamline between the x-th and z-th monitoring points; t zx This represents the difference in wind speed response time between the x-th monitoring point and the z-th monitoring point.

[0093] Steps 1-6: Correct the spatial adjacency of wind speed streamlines between any two monitoring points according to the correction coefficient.

[0094] Based on the correction coefficient d between the x-th monitoring point and the z-th monitoring point zx Spatial adjacency y of wind speed streamlines between monitoring point x and monitoring point z zx The correction is made. In an exemplary embodiment, the spatial adjacency y of the wind speed streamlines between the x-th monitoring point and the z-th monitoring point is adjusted. zx Multiply by the correction coefficient d between the x-th and z-th monitoring pointszx The result obtained is the spatial adjacency y′ of the target wind speed streamlines between the x-th monitoring point and the z-th monitoring point. zx .

[0095] Using the above method, the spatial adjacency of wind speed streamlines between any two monitoring points is corrected to obtain the spatial adjacency of target wind speed streamlines between any two monitoring points.

[0096] Step 2: Determine the monitoring points located on the same wind speed streamline based on the spatial adjacency of the wind speed streamlines.

[0097] Based on the spatial adjacency of the target wind speed streamlines of any two monitoring points, monitoring points located on the same wind speed streamline are determined. In an exemplary embodiment, several preset starting monitoring points are first determined. The location and number of these preset starting monitoring points are set according to actual needs. In another exemplary embodiment, a distance threshold is set, and monitoring points whose distance from the air inlet is less than this distance threshold are designated as preset starting monitoring points, thereby ensuring that the preset starting monitoring points are a number of monitoring points close to the air inlet. The distance threshold is set to obtain a number of monitoring points close to the air inlet; the specific value of this distance threshold is set according to actual needs to meet this requirement.

[0098] For any preset starting monitoring point, using this preset starting monitoring point as the starting point, other monitoring points that meet the screening criteria are identified as the first traversed monitoring points. The screening criteria are: the spatial distance between two monitoring points is within a preset distance range, and the spatial adjacency of the target wind speed streamlines of the two monitoring points meets the preset condition. The preset distance range is set according to actual needs, and its purpose is to determine whether two monitoring points are close. By setting the preset distance range, it is possible to determine whether two monitoring points are adjacent. Therefore, if the spatial distance between two monitoring points is within the preset distance range, it means that the two monitoring points are close and are adjacent. Specifically, the spatial adjacency of the target wind speed streamlines of the two monitoring points means that the maximum value of the spatial adjacency of the starting point with the target wind speed streamlines of all other monitoring points is selected, and this maximum value is greater than or equal to a preset wind speed streamline spatial adjacency threshold. The specific value of the preset wind speed streamline spatial adjacency threshold is set according to actual needs, such as 0.7. The purpose of setting the preset wind speed streamline spatial adjacency threshold is to ensure that the obtained maximum target wind speed streamline spatial adjacency value is at a relatively high level. By setting this preset condition, it is possible to satisfy the following: not only can the maximum target wind speed streamline spatial adjacency be obtained, but the maximum target wind speed streamline spatial adjacency is also greater than or equal to the preset wind speed streamline spatial adjacency threshold.

[0099] Therefore, each monitoring point within a preset distance range from the preset starting monitoring point is identified. Then, the maximum target wind speed streamline spatial adjacency among the target wind speed streamline spatial adjacencies between the preset starting monitoring point and these monitoring points is obtained, provided that the maximum target wind speed streamline spatial adjacency is greater than or equal to a preset wind speed streamline spatial adjacency threshold. Monitoring points that meet these conditions are designated as the first traversing monitoring points.

[0100] Next, based on the first traversed monitoring point, and using it as a starting point, other monitoring points that meet the screening criteria are identified as the second traversed monitoring points. Therefore, monitoring points whose spatial distance from the first traversed monitoring point is within a preset distance range are determined. Then, the maximum target wind speed streamline spatial adjacency among the target wind speed streamline spatial adjacencies of the first traversed monitoring point and these monitoring points is obtained. Simultaneously, the maximum target wind speed streamline spatial adjacency must be greater than or equal to a preset wind speed streamline spatial adjacency threshold. Monitoring points that meet these conditions are designated as the second traversed monitoring points.

[0101] Then, based on the second traversal monitoring point, and using it as the starting point, other monitoring points that meet the screening criteria are identified as the third traversal monitoring point. This process continues, continuously acquiring new traversal monitoring points until the screening criteria are no longer met, at which point the loop stops. The screening criteria are not met when: there are no other monitoring points within a preset distance range from the newly determined starting point, or the spatial adjacency of the obtained maximum target wind speed streamline is less than a preset wind speed streamline spatial adjacency threshold.

[0102] The preset starting monitoring point and all the preceding monitoring points are arranged in the order of acquisition to obtain a wind speed streamline. It should be understood that when determining each preceding monitoring point, it is necessary to select from the remaining monitoring points. Monitoring points that have already been selected as preceding monitoring points will not participate in the selection of subsequent monitoring points.

[0103] Following the above iterative process, each preset starting monitoring point is traversed to obtain several wind speed streamlines. It should be understood that monitoring points that have been identified as wind speed streamlines will no longer participate in the confirmation of subsequent wind speed streamlines.

[0104] Step 3: Based on the difference in dust concentration between each monitoring point and other monitoring points on the same wind speed streamline, and combined with the tortuosity of the wind speed streamline, the degree of dust deposition at each monitoring point is obtained.

[0105] Because in corner areas, the corner structure inside the equipment causes turbulent airflow, and the entrainment effect of the airflow causes dust drawn in from the outside to settle in the corner area when the equipment is not in operation, resulting in a higher dust concentration in the corner area. The greater the bend in the wind speed streamline at each monitoring point along the same wind speed streamline, that is, the greater the probability that the monitoring point is located in a corner area, the greater the degree of dust deposition at that location. Therefore, based on the difference in dust concentration between each monitoring point and other dust concentrations along the same wind speed streamline, combined with the bend in the wind speed streamline, the degree of dust deposition at each monitoring point is obtained. In an exemplary embodiment, such as... Figure 5 As shown, the following is a specific process for obtaining the degree of dust deposition:

[0106] Step 3-1: Determine the difference in dust concentration between the target monitoring point and the reference monitoring point.

[0107] For ease of explanation, let's take any wind speed streamline as an example, and define the target monitoring point as any monitoring point on this wind speed streamline, and the reference monitoring points as any other monitoring points on the same wind speed streamline as the target monitoring point. Then, this wind speed streamline includes the target monitoring point and all the reference monitoring points.

[0108] The dust concentration at the target monitoring point and the dust concentration at the reference monitoring point are obtained, and the absolute value of the difference between the dust concentration at the target monitoring point and the reference monitoring point is calculated as the difference in dust concentration between the target monitoring point and the reference monitoring point.

[0109] Step 3-2: Determine the dust deposition index of the target monitoring point and the reference monitoring point based on the difference in dust concentration between the target monitoring point and the reference monitoring point, as well as the tortuosity of the wind speed streamline.

[0110] The greater the tortuosity of the wind speed streamline between the target monitoring point and the reference monitoring point, the more severe the dust deposition. Therefore, the tortuosity of the wind speed streamline between the target monitoring point and the reference monitoring point is used as the weight of the difference in dust concentration. The product of the tortuosity of the wind speed streamline between the target monitoring point and the reference monitoring point and the difference in dust concentration between the target monitoring point and the reference monitoring point is calculated, and the result is the dust deposition index of the target monitoring point and the reference monitoring point.

[0111] Step 3-3: Integrate the dust deposition indices of the target monitoring point with those of all reference monitoring points to obtain the dust deposition level of the target monitoring point.

[0112] The dust deposition index of the target monitoring point is integrated with that of all reference monitoring points. This involves calculating the average dust deposition index of the target monitoring point and all reference monitoring points, and then normalizing the average value. The result is the dust deposition level at the target monitoring point. The greater the dust deposition level at the target monitoring point, the more necessary it is to purge and remove dust from the location of that point.

[0113] Using the above method, the dust deposition degree at each monitoring point along the wind speed streamline is obtained, and the maximum value among the dust deposition degrees at each monitoring point along the wind speed streamline is determined as the maximum dust deposition degree of the wind speed streamline. This process is then repeated to obtain the dust deposition degree at each monitoring point along each wind speed streamline, as well as the maximum dust deposition degree of each wind speed streamline.

[0114] Step 4: Determine the maximum dust deposition level along the wind speed streamline, and adjust the purging wind speed of the wind speed streamline based on the wind speed at each monitoring point along the wind speed streamline.

[0115] For any given wind speed streamline, the maximum dust deposition level along that streamline and the wind speed at each monitoring point along that streamline both affect the method for controlling the purging wind speed. Therefore, the purging wind speed of the streamline is controlled based on the maximum dust deposition level and the wind speed at each monitoring point along that streamline. In an exemplary embodiment, the average wind speed at each monitoring point along the streamline is calculated to obtain the average wind speed at the monitoring points of the streamline.

[0116] Because eddies easily form in the corner areas of this wind speed streamline, and these eddies cause increased dust concentration in these areas, the purging velocity of this wind speed streamline is determined based on the maximum dust deposition level. That is, the greater the maximum dust deposition level, the greater the dust removal effort required, and the higher the purging velocity control index. This ensures a higher purging velocity for this wind speed streamline; therefore, the purging velocity control index is positively correlated with the maximum dust deposition level. Conversely, the lower the average wind speed at the monitoring points of this wind speed streamline, the higher the purging velocity control index needs to be to ensure effective dust removal. This ensures a higher purging velocity for this wind speed streamline; therefore, the purging velocity control index is inversely correlated with the average wind speed at the monitoring points.

[0117] Based on the maximum dust deposition level along the wind speed streamline and the average wind speed at the monitoring points, a purge wind speed control index is obtained for that wind speed streamline. This index is used to indicate the wind speed to be controlled along the streamline. In an exemplary embodiment, a specific quantification process for the purge wind speed control index is given below:

[0118]

[0119] Among them, v z ′ represents the blowing wind speed control index of the wind speed streamline, r max Indicates the maximum degree of dust deposition along the wind speed streamline. The average wind speed at the monitoring points represents the wind speed streamline, and v0 represents the preset maximum permissible wind speed inside the electrical equipment. It should be understood that the average wind speed at the monitoring points... The wind speed is less than or equal to the preset maximum allowable wind speed v0. Therefore, the average wind speed at the monitoring point is... The smaller the value, the smaller the ratio of it to the preset maximum permissible wind speed v0. The larger the value, the greater the blowing speed control index.

[0120] After obtaining the purging wind speed control index for the wind speed streamline, multiply it by the initial wind speed of the purging equipment to obtain the controlled wind speed for that wind speed streamline. This process is used to obtain the controlled wind speed for each wind speed streamline, achieving adaptive wind speed control for each wind speed streamline.

[0121] In addition, after obtaining the purge wind speed control index of each wind speed streamline of the electrical equipment, a wind speed flow space model is constructed based on the purge wind speed control index of each wind speed streamline, thus obtaining the wind speed flow space model of the electrical equipment and realizing the modeling of the wind speed flow space model of the electrical equipment.

[0122] In subsequent practical applications, the corresponding positions on the outer casing of the electrical equipment are determined to correspond to the starting points (i.e., the sources) of each wind speed stream. Air inlets are then opened at these corresponding positions to obtain the air inlets corresponding to each wind speed stream, and the adjusted wind speed corresponding to each air inlet is determined. Air is then blown into the electrical equipment through each air inlet at the corresponding adjusted wind speed, ensuring that dust deposits along each wind speed stream are thoroughly cleaned. Furthermore, the design of multiple air inlets ensures that the air blown into the electrical equipment is not wasted, and that the cleaning is more precise. It should be understood that, in order to ensure that each air inlet blows air at the corresponding regulated wind speed, multiple purging devices can be installed, with each purging device corresponding to one air inlet, and the operating power of each purging device being adapted to the regulated wind speed of its corresponding air inlet; or, only one purging device can be installed, which is connected to each air inlet through each air inlet pipe, and a wind speed adjustment mechanism (such as a butterfly valve, louvered valve, etc., which can be adjusted manually or electrically) is installed in each air inlet pipe to adjust the wind speed of each air inlet to the corresponding regulated wind speed.

[0123] In one exemplary embodiment, this embodiment also provides an industrial dust explosion-proof purging system, including: a memory and a processor; the memory is connected to the processor, and the memory is used to store program instructions; the processor is used to implement the steps in the above-described industrial dust explosion-proof purging method embodiment when the program instructions are executed.

[0124] In one exemplary embodiment, this embodiment also provides an industrial dust explosion-proof purging device, including: a computer-readable storage medium storing a computer program, which, when executed by a processor, implements the steps in the above-described industrial dust explosion-proof purging method embodiment.

[0125] It should be noted that the order of the above embodiments of the present invention is merely for descriptive purposes and does not represent the superiority or inferiority of the embodiments. The processes depicted in the accompanying drawings do not necessarily require a specific or sequential order to achieve the desired result. In some embodiments, multitasking and parallel processing are also possible or may be advantageous.

[0126] The various embodiments in this specification are described in a progressive manner. The same or similar parts between the various embodiments can be referred to each other. Each embodiment focuses on describing the differences from other embodiments.

Claims

1. A method for preventing industrial dust explosions by purging, characterized in that, include: Based on the difference in wind speed response time and positional relationship between any two monitoring points inside the electrical equipment, determine the spatial adjacency of the wind speed streamlines of any two monitoring points. The spatial adjacency of wind speed streamlines represents the probability that any two monitoring points are located on the same wind speed streamline. Based on the spatial adjacency of wind speed streamlines, monitoring points located on the same wind speed streamline are determined; Based on the difference in dust concentration between each monitoring point and other monitoring points on the same wind speed streamline, and combined with the tortuosity of the wind speed streamline, the degree of dust deposition at each monitoring point is obtained; the tortuosity of the wind speed streamline represents the change in the wind speed streamline caused by the influence of the internal structure of the electrical equipment between any two monitoring points. Determine the maximum dust deposition level along the wind speed streamline, and adjust the purging wind speed of the wind speed streamline in combination with the wind speed at each monitoring point along the wind speed streamline. The process of obtaining the spatial adjacency of wind speed streamlines includes: Obtain the spatial distance and distance difference between any two monitoring points; the distance difference is the difference in spatial distance between any two monitoring points and the air inlet of the electrical equipment. Based on the spatial distance, distance difference, and wind speed response time difference, the spatial adjacency of wind speed streamlines between any two monitoring points is obtained; the spatial adjacency of wind speed streamlines is inversely correlated with the spatial distance, distance difference, and wind speed response time difference. The process of obtaining the wind speed streamline tortuosity includes: Obtain the wind direction fluctuation difference between any two monitoring points; the wind direction fluctuation difference is the difference between the degree of wind direction fluctuation between any two monitoring points within a preset time period; Based on the differences in wind direction fluctuation, spatial distance, wind speed response time, and wind speed between any two monitoring points, the wind speed streamline bending property of any two monitoring points is obtained; the wind speed streamline bending property is positively correlated with the differences in wind direction fluctuation, wind speed response time, and wind speed, and negatively correlated with the spatial distance. The process of obtaining the degree of dust deposition includes: Determine the difference in dust concentration between the target monitoring point and the reference monitoring point; the target monitoring point is any monitoring point, and the reference monitoring point is any monitoring point among the other monitoring points located on the same wind speed streamline as the target monitoring point; Based on the difference in dust concentration between the target monitoring point and the reference monitoring point, as well as the tortuosity of the wind speed streamline, the dust deposition index of the target monitoring point and the reference monitoring point is determined. By integrating the dust deposition indices of the target monitoring point with those of all reference monitoring points, the degree of dust deposition at the target monitoring point is obtained.

2. The industrial dust explosion-proof purging method as described in claim 1, characterized in that, The industrial dust explosion-proof purging method further includes: correcting the spatial adjacency of the wind speed streamlines based on the tortuosity of the wind speed streamlines to obtain the spatial adjacency of the target wind speed streamlines; The step of determining monitoring points located on the same wind speed streamline based on the spatial adjacency of the wind speed streamlines specifically involves determining monitoring points located on the same wind speed streamline based on the spatial adjacency of the target wind speed streamlines.

3. The industrial dust explosion-proof purging method as described in claim 2, characterized in that, The process of correcting the spatial adjacency of the wind speed streamlines includes: The correction coefficient is obtained based on the wind speed streamline bendability and wind speed response time difference between any two monitoring points; the correction coefficient is inversely correlated with the wind speed streamline bendability and positively correlated with the wind speed response time difference. Based on the correction coefficient, the spatial adjacency of wind speed streamlines between any two monitoring points is corrected.

4. The industrial dust explosion-proof purging method as described in claim 2, characterized in that, The step of determining monitoring points located on the same wind speed streamline based on the spatial adjacency of the target wind speed streamline includes: Starting from any preset initial monitoring point, other monitoring points that meet the screening criteria are identified as the first traversed monitoring points; the screening criteria are: the spatial distance between two monitoring points is within a preset distance range, and the spatial adjacency of the target wind speed streamlines of the two monitoring points meets the preset conditions. Based on the first traversed monitoring point, other monitoring points that meet the screening criteria are identified as the second traversed monitoring point; based on the second traversed monitoring point, other monitoring points that meet the screening criteria are identified as the third traversed monitoring point; and so on, until the screening criteria are no longer met, thus obtaining a wind speed streamline. By traversing each preset starting monitoring point, several wind speed streamlines are obtained.

5. The industrial dust explosion-proof purging method as described in claim 1, characterized in that, The process of regulating the blowing speed of the wind velocity streamline includes: The purging wind speed control index of the wind speed streamline is obtained based on the maximum dust deposition degree and the average wind speed at the monitoring points. The purging wind speed control index is positively correlated with the maximum dust deposition degree and negatively correlated with the average wind speed at the monitoring points. The average wind speed at the monitoring points is the average wind speed at each monitoring point on the wind speed streamline. The maximum dust deposition degree is the maximum value among the dust deposition degrees at each monitoring point on the wind speed streamline. The purging wind speed control index is used to indicate and control the wind speed on the wind speed streamline.

6. An industrial dust explosion-proof purging system, characterized in that it comprises: Memory and processor; The memory is connected to the processor; The memory is used to store program instructions; The processor is configured to implement the industrial dust explosion-proof purging method according to any one of claims 1-5 when the program instructions are executed.

7. An industrial dust explosion-proof purging device, characterized in that, The invention includes a computer-readable storage medium storing a computer program that, when executed by a processor, implements the steps in the embodiments of the industrial dust explosion-proof purging method according to any one of claims 1-5.

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