A dust suppression spray device and method for construction site

Abstract

The present invention relates to the field of construction spray technology, and specifically to a dust reduction spray device and method for construction sites. The present invention first obtains the construction possibility of the cluster to be dusted according to the spatial distribution difference of the particle concentration at the monitoring point in the cluster to be dusted; obtains the wind speed interference of the cluster to be dusted according to the wind speed and size change over time and the wind direction consistency of the reference cluster; obtains the dust reduction demand of the monitoring point in each cluster to be dusted according to the construction possibility, wind speed interference of the cluster to be dusted to which the monitoring point belongs, and the particle concentration and environmental parameters of the monitoring point; controls the spray device to perform spray dust reduction based on the spatial position of the monitoring point and the dust reduction demand. The present invention fully considers the actual situation and environmental conditions of the construction site, reasonably controls the spray device to perform precise spray dust reduction, and improves the dust reduction effect at the construction site.

Description

Technical Field

[0001] The invention relates to the technical field of construction spraying, and in particular to a dust reduction spraying device and method for use at a construction site. Background Art

[0002] In order to reduce dust pollution at the construction site, a dust suppression spray device is used to spray fine water mist at dust-prone locations on the construction site, thereby reducing the concentration of particulate matter in the air and achieving dust reduction at the construction site. A dust suppression spray device is a device used to reduce dust in the air. It produces fine water mist to absorb and settle dust in the air. In order to ensure the dust reduction effect at the construction site, it is necessary to control the dust suppression spray device to spray water mist.

[0003] Since the concentration of particulate matter at the construction site can reflect the dust situation, the existing technology determines whether water mist spraying is needed by monitoring the concentration of particulate matter at the construction site. However, when performing spray control, the existing technology does not fully consider the actual situation and environmental conditions of the construction site, making the spraying of water mist by the dust reduction spray device inappropriate, resulting in poor dust reduction effect at the construction site. Summary of the invention

[0004] In order to solve the technical problem that the prior art has poor dust reduction effect on the construction site, the purpose of the present invention is to provide a dust reduction spray device and method for the construction site. The technical scheme adopted is as follows:

[0005] A dust suppression spray device for a construction site, the spray device comprising: a device body, the spray device further comprising a spray control device, the spray control device comprising:

[0006] The data acquisition module is used to obtain the spatial positions of all monitoring points in the construction plane and the particle concentration, wind speed and environmental parameters of all monitoring points at each sampling time;

[0007] The construction analysis module is used to take the last sampling moment as the target moment; at the target moment, the monitoring points are clustered according to the difference in the particle concentration between any two monitoring points and the interval of the spatial position, and the clusters to be dusted are screened out; according to the difference in the spatial distribution of the particle concentration at the monitoring points in the clusters to be dusted, the construction possibility of the clusters to be dusted is obtained;

[0008] The wind speed interference analysis module is used to track the dust clusters to be treated according to the particle concentrations of all monitoring points corresponding to each sampling time, and obtain the reference cluster set corresponding to the dust clusters to be treated; in the reference cluster set of the dust clusters to be treated, the wind direction consistency is obtained according to the spatial distribution consistency of the particle concentration of the reference cluster set, and the wind speed interference of the dust clusters to be treated is obtained according to the change of the wind speed and size of the reference clusters over time and the wind direction consistency;

[0009] The spray control module is used to obtain the dust reduction demand of the monitoring point in each dust reduction cluster according to the construction possibility, wind speed interference, particle concentration and environmental parameters of the dust reduction cluster where the monitoring point is located; and control the spray device to perform spray dust reduction based on the spatial position of the monitoring point and the dust reduction demand.

[0010] Furthermore, the method for obtaining the dust clusters to be removed includes:

[0011] At the target time, according to the difference of the particle concentrations of the two monitoring points and the interval of the spatial positions, the distance measurement value of the two monitoring points is obtained;

[0012] Clustering all the monitoring points according to the distance metric value to obtain concentration clusters at the target time;

[0013] The mean value of the particle concentration of all monitoring points of the concentration cluster is calculated to obtain the overall concentration parameter of the concentration cluster, and the concentration cluster whose overall concentration parameter is greater than a preset concentration threshold is used as the dust cluster to be settled.

[0014] Furthermore, the method for obtaining the distance metric value includes:

[0015] At the target time, according to the difference in the particle concentrations at any two monitoring points, a concentration difference index is obtained;

[0016] The Euclidean distance between the spatial positions of any two monitoring points is used as a position interval indicator;

[0017] According to the concentration difference index and the position interval index, the distance measurement value between any two monitoring points at the target time is obtained.

[0018] Furthermore, the method for obtaining the constructability includes:

[0019] In the dust cluster to be settled, according to the particle concentration at the monitoring point, the dust diffusion vector and diffusion characteristic angle of the monitoring point are obtained;

[0020] According to the inconsistency of the diffusion characteristic angles of all monitoring points, the diffusion disorder index of the dust cluster to be settled is obtained;

[0021] The dust diffusion vectors of all monitoring points are integrated to obtain the diffusion consistency index of the dust clusters to be settled;

[0022] According to the diffusion chaos index and the diffusion consistency index, the construction possibility of the dust cluster to be reduced is obtained; the diffusion chaos index and the construction possibility are positively correlated; the diffusion consistency index and the construction possibility are negatively correlated.

[0023] Furthermore, the method for acquiring the dust diffusion vector and diffusion characteristic angle of the monitoring point includes:

[0024] In the dust cluster to be reduced on the construction plane, the monitoring point with the minimum particle concentration is used as the point to be pointed to;

[0025] The direction of the dust diffusion vector of the monitoring point is from the monitoring point to the point to be directed, and the modulus of the dust diffusion vector of the monitoring point is a preset modulus value; the angle value between the positive direction of the horizontal axis in the construction plane and the dust diffusion vector is used as the diffusion characteristic angle of the monitoring point; the positive direction of the horizontal axis is east.

[0026] Furthermore, the method for obtaining the reference cluster set includes:

[0027] According to the particle matter concentration at each sampling moment, all monitoring points at each sampling moment are clustered to obtain all the concentration clustering clusters at each sampling moment; the target tracking algorithm is used to track the dust clustering clusters according to the concentration clustering clusters at each sampling moment, and the concentration clustering cluster corresponding to the dust clustering cluster at the sampling moment is identified as the reference clustering cluster of the dust clustering cluster, and all the reference clustering clusters are counted to obtain the reference clustering cluster set corresponding to the dust clustering cluster.

[0028] Furthermore, the method for obtaining the wind direction consistency includes:

[0029] Calculate the mean of the dust diffusion vectors at all monitoring points in the reference cluster cluster to obtain the cluster wind direction vector of the reference cluster cluster; use the value of the angle between the cluster wind direction vectors of any two reference cluster clusters as the first parameter of any two reference cluster clusters; calculate the mean of all first parameters, inversely normalize the mean, and obtain the wind direction consistency.

[0030] Furthermore, the method for obtaining the wind speed interference degree includes:

[0031] Calculate the wind speed corresponding to all monitoring points in the reference cluster as the overall wind speed value of the reference cluster; take the number of all monitoring points in the reference cluster as the area parameter value of the reference cluster;

[0032] Calculating the difference value of the area parameter value of the reference cluster in a time sequence to obtain the area change value of the reference cluster;

[0033] Normalizing the Pearson correlation coefficient of the overall wind speed value and the area change value in time series to obtain a related index;

[0034] The mean of relevant indicators and wind direction consistency is calculated to obtain the wind speed interference degree of the dust cluster to be settled.

[0035] Furthermore, the method for obtaining the dust reduction demand includes:

[0036] The environmental parameters include temperature and humidity;

[0037] In the dust-reduction cluster to which the monitoring point belongs, a first demand parameter of the monitoring point is obtained according to the construction possibility, the wind speed interference degree and the total number of all monitoring points; the construction possibility, the wind speed interference degree and the total number of all monitoring points are all positively correlated with the first demand parameter;

[0038] According to the particle concentration, temperature and humidity of the monitoring point, a second demand parameter of the monitoring point is obtained; the particle concentration and temperature are both positively correlated with the second demand parameter; and the humidity is negatively correlated with the second demand parameter;

[0039] The dust reduction demand degree of the monitoring point in each of the dust reduction clusters is obtained according to the first demand parameter and the second demand parameter.

[0040] A dust suppression spray method for use at a construction site, the method using any one of the above-mentioned dust suppression spray devices for use at a construction site to perform spray control.

[0041] The present invention has the following beneficial effects:

[0042] In order to reduce dust at the latest construction site, the last sampling time is taken as the target time. In order to identify the areas that need dust reduction, the monitoring points with high particle concentration characteristics and close distance are classified into one category, namely the clusters to be dusted, which provide target areas for subsequent dust reduction. Considering that a large number of dust particles will be generated when construction activities are carried out in some areas of the construction site, for example, during earthwork construction activities, the dust particles near the dust source point will quickly reach a high concentration, and with the action of earthwork construction operations, the dust particles will spread to the surroundings. The spatial distribution difference of the particle concentration of the monitoring points in the clusters to be dusted reflects the degree to which the dust diffusion in the area conforms to the construction activities, and the construction possibility of the clusters to be dusted is obtained. The construction possibility reflects the possibility of construction activities and dust diffusion in the clusters to be dusted at the target time. Considering that when the wind direction is consistent, the dust will diffuse in the same direction, resulting in accumulation in certain areas, resulting in a higher dust concentration. When the wind direction is changeable, the dust will be dispersed in different directions, resulting in a relatively uniform distribution of dust in multiple areas, resulting in a relatively low dust concentration in local areas. Considering that wind direction consistency is a key factor affecting dust diffusion, that is, the more consistent the wind direction of the dust corresponding to the dust cluster to be settled at the target moment is in the previous period of time, the more serious the dust caused at the target moment is, and the more dust settlement is needed. First, the dust cluster to be settled is tracked to obtain the reference cluster set corresponding to the dust cluster to be settled. The reference cluster set reflects the reference cluster corresponding to the dust corresponding to the dust cluster at the sampling moment, that is, reflects the area where the dust represented by the dust cluster to be settled at the target moment is located at the sampling moment. The wind direction consistency indirectly reflects the consistency of dust wind speed by reflecting the consistency of the particle concentration diffusion of the dust corresponding to the dust cluster to be settled in the previous period of time; considering that the wind speed has a more significant impact on dust diffusion when the wind direction is consistent, the wind speed interference is obtained. The greater the wind speed interference, the more serious the dust caused by the wind to the dust cluster corresponding to the dust cluster to be settled, and the more dust settlement is needed. By fully considering the actual situation and environmental conditions of the construction site, the dust reduction demand of the monitoring points in each dust reduction cluster is obtained. The dust reduction demand more accurately reflects the degree of dust reduction required by the monitoring points, thereby controlling the spray device to perform precise spray dust reduction and improving the dust reduction effect at the construction site. BRIEF DESCRIPTION OF THE DRAWINGS

[0043] In order to more clearly illustrate the technical solutions and advantages of the embodiments of the present invention or the prior art, the accompanying drawings required for use in the embodiments or the prior art descriptions are briefly introduced below. Obviously, the accompanying drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other accompanying drawings can be made based on these accompanying drawings without paying any creative work.

[0044] Figure 1A schematic diagram of the structure of a dust suppression spray device for use at a construction site provided by one embodiment of the present invention;

[0045] Figure 2 A schematic diagram of the structure of a dust suppression spray device body for use at a construction site provided by one embodiment of the present invention;

[0046] Figure 3 A device block diagram of a spray control device provided by one embodiment of the present invention;

[0047] Figure 4 A flow chart of a method for obtaining dust clusters to be removed provided by an embodiment of the present invention;

[0048] The marks in the figure are: 21, water pump, 22, oil pump, 23, hydraulic push rod, 24, rotating mechanism. DETAILED DESCRIPTION

[0049] In order to further explain the technical means and effects adopted by the present invention to achieve the predetermined invention purpose, the following is a detailed description of the dust suppression spray device and method for construction sites proposed by the present invention, its specific implementation, structure, features and effects, in combination with the accompanying drawings and preferred embodiments. In the following description, different "one embodiment" or "another embodiment" does not necessarily refer to the same embodiment. In addition, specific features, structures or characteristics in one or more embodiments may be combined in any suitable form.

[0050] Unless defined otherwise, 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 belongs.

[0051] The following is a specific description of a dust suppression spray device and method for use at a construction site provided by the present invention in conjunction with the accompanying drawings.

[0052] Figure 1 FIG. 1 shows a schematic diagram of a dust suppression spray device for use at a construction site provided by an embodiment of the present invention. Figure 1 As shown, the dust suppression spray device 0 includes a communication-connected device body 01 and a spray control device 02. In the embodiment of the present invention, wireless communication is adopted, wherein the device body 01 has a signal receiving device, that is, the signal receiving device of the device body 01 communicates with the spray control device.

[0053] The device body 01 refers to an existing dust suppression spray device for construction sites. The dust suppression spray device for construction sites provided by the embodiment of the present invention is based on the existing dust suppression spray device for construction sites and adds a spray control device 02 to achieve spray control on the construction site. Figure 2, which shows a schematic diagram of the structure of a dust suppression spray device for construction sites provided by an embodiment of the present invention. The dust suppression spray device body includes a water pump 21, an oil pump 22, a hydraulic push rod 23, a rotating mechanism 24, and a combination of Figure 2 The process of spraying with a dust suppression spray device at a construction site provided by an embodiment of the present invention is briefly described as follows:

[0054] After receiving the control command from the spray control device, the signal receiving device of the dust suppression spray device controls the spray direction by adjusting the rotating mechanism and controls the spray angle by adjusting the hydraulic push rod; the oil pump is mainly used to provide hydraulic power to drive the movement and rotation of the spray device; the function of the water pump is to provide sufficient water flow to support the spray device to spray, and the device body is also provided with a signal receiving device (not shown in the figure).

[0055] Since the dust suppression spray device for construction sites provided by the embodiment of the present invention focuses on the spray control device 02, please refer to Figure 3 , which shows a device block diagram of a spray control device provided by an embodiment of the present invention, the device includes: a data acquisition module 101, a construction analysis module 102, a wind speed interference analysis module 103, and a spray control module 104.

[0056] The data acquisition module 101 is used to acquire the spatial positions of all monitoring points in the construction plane and the particle concentration, wind speed and environmental parameters of all monitoring points at each sampling time.

[0057] Obtain the spatial position of each monitoring point in the construction site and the particle concentration, wind speed and environmental parameters at each sampling time. This solution analyzes the degree of dust reduction required at the construction site and sprays water mist on the construction site to achieve effective dust reduction. In the present invention, the particle concentration is the PM2.5 concentration, and the environmental parameters include temperature and humidity. The specific method is to evenly arrange sufficient multifunctional meteorological sensors at the construction site, take each multifunctional meteorological sensor as a monitoring point, each monitoring point has a longitude and latitude coordinate, and take the longitude and latitude coordinate as the spatial position of the monitoring point; use the multifunctional meteorological sensor to sample the monitoring point at a preset frequency, and obtain the particle concentration, wind speed, temperature and humidity at each sampling time of the monitoring point. Among them, since PM2.5 refers to suspended particles with an aerodynamic equivalent diameter less than or equal to 2.5 microns, the greater the PM2.5 concentration, the more dust reduction is needed; the greater the wind speed at the construction site, the faster the dust spreads, and the more dust reduction is needed; the lower the humidity, the more dust will be suspended in the air, the easier it is to cause dust to spread, and the more dust reduction is needed; the higher the temperature, the more likely it is to accelerate the drying of dust, making it easier for dust to be blown up by the wind and cause dust to spread, and the more dust reduction is needed. By obtaining the particle concentration, wind speed, temperature and humidity at each sampling time of the monitoring point, data support is provided for the subsequent analysis of the degree of dust reduction required at the monitoring point.

[0058] In order to facilitate the subsequent construction of the vector of the monitoring point, in one embodiment of the present invention, the method for obtaining the construction plane includes:

[0059] Based on the two-dimensional plane coordinate system, the horizontal axis of the two-dimensional image coordinate system is the longitude of the spatial position of the monitoring point; the vertical axis of the two-dimensional image coordinate system is the latitude of the spatial position of the monitoring point; all monitoring points in the construction site are mapped to the two-dimensional image coordinate system to obtain the construction plane. It should be noted that the horizontal axis is expressed as longitude, and the positive direction of the horizontal axis is east; the vertical axis is expressed as latitude, and the positive direction of the vertical axis is north.

[0060] It should be noted that, in one embodiment of the present invention, sampling is performed at a preset frequency, each sampling is taken as a sampling moment, the preset frequency is 1 minute / second, and the last sampling moment is the current moment. It should be noted that, in order to facilitate calculations, all indicator data involved in the calculations in the embodiments of the present invention are subjected to data preprocessing to eliminate the dimension effect. The specific means of removing the dimension effect are technical means well known to those skilled in the art and are not limited here.

[0061] The construction analysis module 102 is used to take the last sampling moment as the target moment; at the target moment, the monitoring points are clustered according to the difference in particle concentration between any two monitoring points and the interval between their spatial positions, and the clusters to be dusted are screened out; based on the difference in spatial distribution of particle concentration at the monitoring points in the clusters to be dusted, the construction possibility of the clusters to be dusted is obtained.

[0062] In order to reduce dust at the latest construction site, the last sampling time is taken as the target time. In order to identify the key areas that need dust reduction, the monitoring points with higher particle concentration characteristics and closer distances are classified into one category, namely the clusters to be dusted, which provide target areas for subsequent dust reduction. Considering that a large amount of dust particles will be generated during construction activities in some areas of the construction site, for example, during earthwork construction activities, the dust particles near the dust source point will quickly reach a high concentration, and with the action of earthwork construction operations, the dust particles will spread to the surroundings. The spatial distribution difference of the particle concentration of the monitoring points in the clusters to be dusted reflects the degree to which the dust diffusion in the area conforms to the construction activities, and the construction possibility of the clusters to be dusted is obtained. The construction possibility reflects the possibility of construction activities and dust diffusion in the clusters to be dusted at the target time.

[0063] To identify areas where dust reduction efforts are needed, refer to Figure 4 , which shows a flow chart of a method for obtaining a cluster of dust to be reduced in one embodiment of the present invention. Preferably, in one embodiment of the present invention, the method for obtaining a cluster of dust to be reduced includes:

[0064] Step S101: at a target time, a distance measurement value between any two monitoring points is obtained according to the difference in particle concentration between the two monitoring points and the interval between their spatial positions.

[0065] In order to facilitate subsequent clustering and classify monitoring points with similar particle concentrations and close distances into one category, it is necessary to construct a distance measurement value between two monitoring points.

[0066] In one embodiment of the present invention, a method for obtaining a distance metric value includes:

[0067] At the target time, according to the difference in the concentration of particulate matter between any two monitoring points, a concentration difference index is obtained; the Euclidean distance between the spatial positions of any two monitoring points is used as a position interval index; according to the concentration difference index and the position interval index, a distance measurement value of any two monitoring points at the target time is obtained. It should be noted that the Euclidean distance is a prior art well known to those skilled in the art and will not be described in detail here.

[0068] Specifically, at the target time, the absolute value of the difference in particle concentration between any two monitoring points is calculated to obtain the concentration difference index; the Euclidean distance between the spatial positions of any two monitoring points is used as the position interval index; the sum of the concentration difference index and the position interval index is calculated to obtain the distance measurement value of any two monitoring points at the target time. The absolute value of the difference reflects the difference.

[0069] Among them, it is not comprehensive to measure the distance between any two monitoring points at the target time by relying only on the single dimension of particulate matter concentration or spatial position. The concentration difference index reflects the difference in pollution level between the two monitoring points, while the position interval index reflects the physical distance information of the two monitoring points. Combining the two, the distance measurement value of any two monitoring points at the target time is obtained. The distance measurement value can more comprehensively evaluate the difference between the two monitoring points.

[0070] Step S102: clustering all monitoring points according to the distance metric value to obtain concentration clusters at the target time.

[0071] Concentration clusters reflect monitoring points with similar particle concentration characteristics and close distances.

[0072] Using the K-means clustering algorithm, all monitoring points are clustered according to the distance metric value to obtain the concentration clusters at the target time.

[0073] It should be noted that the k-means clustering algorithm is a technical means well known to those skilled in the art, and will not be described in detail here. Only a brief description is given of a brief process of using the k-means clustering algorithm in one embodiment of the present invention to cluster all monitoring points according to the distance measurement value between every two monitoring points to obtain each concentration cluster:

[0074] Considering that the larger the distance measurement value between two monitoring points, the greater the difference in particle concentration, the optimal k value is obtained by the elbow method, and the distance measurement value of each two monitoring points is substituted into the clustering process to cluster all monitoring points to obtain various concentration clusters. The difference between monitoring points in different concentration clusters is made as large as possible, and the difference between monitoring points in the same concentration cluster is made as small as possible, that is, the similarity of particle concentration of monitoring points in each concentration cluster is as large as possible. In other embodiments of the present invention, the optimal k value of the k-means clustering algorithm can be determined by other methods such as the silhouette coefficient method, which is not limited here.

[0075] Step S103: According to the particle concentrations of all monitoring points in the concentration clusters, the dust clusters to be removed are selected from all the concentration clusters.

[0076] All concentration clusters represent areas with similar particle concentration distribution in the construction site, but not all areas require immediate dust reduction treatment. By further analyzing the particle concentration levels of the monitoring points in the concentration clusters, concentration clusters with higher particle concentrations can be screened out as clusters to be dusted. Clusters to be dusted reflect areas with higher particle concentrations.

[0077] In one embodiment of the present invention, the mean value of the particle concentration of all monitoring points of the concentration cluster is calculated to obtain the overall concentration parameter of the concentration cluster, and the concentration cluster whose overall concentration parameter is greater than the preset concentration threshold is used as the dust cluster to be settled. In one embodiment of the present invention, the preset concentration threshold is 30, which can be set by the implementer according to the implementation scenario.

[0078] Considering that construction areas are prone to generate a large number of dust particles and are areas that require focused dust reduction, the spatial distribution differences of the concentration of particulate matter at the monitoring points in the clusters to be dusted reflect the degree to which the dust diffusion in the area is consistent with the construction activities, and the construction possibility of the clusters to be dusted is obtained. The construction possibility reflects the possibility that construction activities will occur in the clusters to be dusted at the target time and generate dust diffusion. Preferably, in one embodiment of the present invention, the method for obtaining the construction possibility includes:

[0079] In the dust cluster to be settled, the dust diffusion vector and diffusion characteristic angle of the monitoring point are obtained according to the particle concentration of the monitoring point;

[0080] According to the inconsistency of the diffusion characteristic angles of all monitoring points, the diffusion disorder index of the dust cluster to be settled is obtained;

[0081] The dust diffusion vectors of all monitoring points are integrated to obtain the diffusion consistency index of the dust clusters to be settled;

[0082] According to the diffusion chaos index and the diffusion consistency index, the construction possibility of the dust cluster to be settled is obtained; the diffusion chaos index is positively correlated with the construction possibility; the diffusion consistency index is negatively correlated with the construction possibility.

[0083] Specifically, in the dust cluster to be directed on the construction plane, the monitoring point with the minimum particle concentration is used as the point to be directed; the direction of the dust diffusion vector of the monitoring point is from the monitoring point to the point to be directed, and the modulus of the dust diffusion vector of the monitoring point is the preset modulus value; the angle value between the positive direction of the horizontal axis and the dust diffusion vector is used as the diffusion characteristic angle of the monitoring point. The mean square error of the diffusion characteristic angles of all monitoring points is calculated to obtain the diffusion chaos index of the dust cluster to be directed. The mean of the dust diffusion vectors of all monitoring points is calculated to obtain the mean vector, and the modulus of the mean vector is used as the diffusion consistency index of the dust cluster to be directed; the sum of the diffusion consistency index and the preset denominator adjustment index is calculated, the ratio of the diffusion chaos index to the sum is calculated, and the comparison value is normalized to obtain the construction possibility of the dust cluster to be directed. Among them, the inconsistency is reflected by the mean square error. In one embodiment of the present invention, the preset modulus value is 1, and the preset denominator adjustment index is used to ensure that the denominator is not 0. The preset denominator adjustment index is a number greater than 0. This embodiment sets it to 0.001, and the implementer can set it according to the implementation scenario. In one embodiment of the present invention, the normalization method is: normalization is performed using the norm normalization function to limit the numerical range to between 0 and 1. It should be noted that the mean square error is a prior art well known to those skilled in the art and will not be described in detail here. It should be noted that when the minimum particle concentration corresponds to multiple monitoring points, any one of them is selected as the point to be pointed to; because when the particle concentration at the monitoring point is the minimum particle concentration, the dust diffusion vector constructed at this time cannot reflect the particle diffusion direction. In order to avoid invalid calculations, the dust diffusion vector of the monitoring point corresponding to the minimum particle concentration is set to 0.

[0084] In view of the above steps, in order to quantify the dust diffusion, a dust diffusion vector is defined for each monitoring point. The direction of this vector is from the current monitoring point to the monitoring point with the smallest particle concentration in the cluster, that is, the point to be pointed to, and the modulus is a preset fixed value. The purpose of this is to unify the quantification standard and facilitate subsequent analysis and comparison. The angle between the dust diffusion vector of each monitoring point and the positive direction of the horizontal axis in the construction plane is taken as the diffusion characteristic angle of the monitoring point. The diffusion characteristic angle reflects the main direction of dust diffusion and is convenient for analyzing the dust diffusion pattern. The larger the diffusion chaos index, the more chaotic the dust diffusion direction in the cluster is, and the greater the possibility of dust diffusion generated by construction activities in the cluster to be dusted. The larger the diffusion consistency index, the higher the degree of consistency of the diffusion direction of dust diffusion in the entire cluster, the greater the possibility of dust diffusion generated by construction activities in the cluster to be dusted, and the smaller the possibility of dust diffusion generated by construction activities in the cluster to be dusted. The construction possibility is calculated based on the diffusion chaos index and the diffusion consistency index. The construction possibility reflects the possibility of construction activities and dust diffusion in the cluster to be dusted at the target time. The greater the construction possibility, the greater the possibility that construction activities will occur in the dust cluster to be settled at the target time and cause dust diffusion.

[0085] The wind speed interference analysis module 103 is used to track the dust clusters to be treated according to the particle concentrations of all monitoring points corresponding to each sampling moment, and obtain a reference cluster set corresponding to the dust clusters to be treated; in the reference cluster set of the dust clusters to be treated, the wind direction consistency is obtained according to the spatial distribution consistency of the particle concentration of the reference cluster set, and the wind speed interference of the dust clusters to be treated is obtained according to the changes in the wind speed and size of the reference clusters over time and the wind direction consistency.

[0086] Considering that when the wind direction is consistent, dust will diffuse in the same direction, resulting in accumulation in certain areas, causing a high dust concentration. When the wind direction is changeable, dust will be dispersed in different directions, resulting in a relatively uniform distribution of dust in multiple areas, resulting in a relatively low dust concentration in local areas. Considering that wind direction consistency is a key factor affecting dust diffusion, that is, the more consistent the wind direction of the dust corresponding to the dust clusters to be settled at the target time in the previous period of time, the more serious the dust caused at the target time, and the more dust settlement is needed. First, the dust clusters to be settled are tracked to obtain the reference cluster set corresponding to the dust clusters to be settled. The reference cluster set reflects the reference cluster corresponding to the dust corresponding to the dust clusters to be settled at the sampling time, that is, it reflects the area where the dust represented by the dust clusters to be settled at the target time is located at the sampling time. The wind direction consistency indirectly reflects the consistency of dust wind speed by reflecting the consistency of the particle concentration diffusion of the dust corresponding to the dust clusters to be settled in the previous period of time; considering that the wind speed has a more significant impact on dust diffusion when the wind direction is consistent, the wind speed interference is obtained. The greater the wind speed interference, the more serious the dust emission of the dust cluster corresponding to the dust cluster is, and the more dust suppression is needed.

[0087] In order to analyze the degree of dust raised by the wind at the target time for the clusters of dust to be settled, it is necessary to track the area where the dust represented by the clusters of dust to be settled at the target time corresponds to the sampling time. Preferably, in one embodiment of the present invention, the method for obtaining the reference cluster set includes:

[0088] According to the particle concentration at each sampling moment, all monitoring points at each sampling moment are clustered to obtain all concentration clusters at each sampling moment; the target tracking algorithm is used to track the dust clusters according to the concentration clusters at each sampling moment, and the concentration clusters corresponding to the dust clusters at the sampling moment are identified as reference clusters of the dust clusters to be settled, and all reference clusters are counted to obtain the reference cluster set corresponding to the dust clusters to be settled. It should be noted that the method of obtaining all concentration clusters at each sampling moment is the same as the method of obtaining each concentration cluster at the target moment, which will not be repeated here.

[0089] It should be noted that the target tracking algorithm is an existing technology well known to those skilled in the art, and is only briefly described here:

[0090] Considering that the concentration clusters reflect the relatively independent particle concentration areas corresponding to each sampling moment, the target tracking algorithm will match the dust clusters to be settled at the current moment according to the continuity of the clusters in time and space, as well as the possible movement patterns, and identify the concentration clusters corresponding to the dust clusters to be settled at the sampling moment; the concentration clusters corresponding to the sampling moment are used as reference clusters, and all reference clusters are counted to obtain the reference cluster set corresponding to the dust clusters to be settled. The target tracking algorithm can perform tracking processing, and the reference clusters reflect the distribution area of ​​the dust represented by the dust clusters to be settled at the current moment at the sampling moment. It should be noted that when the target tracking algorithm cannot track the reference clusters corresponding to the dust clusters to be settled, that is, it is impossible to obtain the reference cluster set corresponding to the dust clusters to be settled, and it is impossible to calculate the wind speed interference degree of the dust clusters to be settled, at this time, the wind speed interference degree of the dust clusters to be settled is set to 0.

[0091] In order to analyze the wind direction consistency of dust corresponding to the dust clusters to be settled in the previous period of time, preferably, in one embodiment of the present invention, the method for obtaining the wind direction consistency includes:

[0092] Calculate the mean of the dust diffusion vectors of all monitoring points in the reference cluster cluster to obtain the cluster wind direction vector of the reference cluster cluster; use the value of the angle between the cluster wind direction vectors of any two reference cluster clusters as the first parameter of any two reference cluster clusters; calculate the mean of all first parameters, inversely normalize the mean, and obtain the wind direction consistency. In one embodiment of the present invention, the inverse normalization method is: use the opposite of the mean as the power of an exponential function with a natural constant as the base to obtain a negative correlation mapping result. It should be noted that the method for obtaining the dust diffusion vector of the monitoring point in the reference cluster cluster is the same as the method for obtaining the dust diffusion vector of the monitoring point in the dust cluster to be settled, which will not be repeated here.

[0093] The cluster wind direction vector reflects the main direction of particle concentration diffusion of the reference cluster, which indirectly reflects the main wind direction of the reference cluster. The first parameter reflects the inconsistency of the main wind directions of the two reference clusters. The smaller the first parameter is, the more consistent the main wind directions of the two reference clusters are. The greater the wind direction consistency is, the higher the overall consistency of the main wind directions in the reference cluster set is.

[0094] In order to analyze the degree of dust raised by wind on dust corresponding to the dust cluster to be treated, preferably, in one embodiment of the present invention, a method for obtaining wind speed interference includes:

[0095] Calculate the wind speed corresponding to all monitoring points in the reference cluster as the overall wind speed value of the reference cluster; take the number of all monitoring points in the reference cluster as the area parameter value of the reference cluster;

[0096] Calculate the difference value of the area parameter value of the reference cluster cluster according to the time sequence to obtain the area change value of the reference cluster cluster;

[0097] The Pearson correlation coefficient of the overall wind speed value and the area change value in the time series was normalized to obtain the relevant index;

[0098] Calculate the mean of the relevant indexes and wind direction consistency to obtain the wind speed interference of the dust cluster to be settled. The differential method used in the present invention is forward differential, and the Pearson correlation coefficient is a prior art well known to those skilled in the art. It should be noted that when the differential method used is forward differential, since the first reference cluster does not have the previous reference cluster, the area change value of the first reference cluster cannot be obtained, and the area change value of the second reference cluster is used as the area change value of the first reference cluster.

[0099] In order to analyze the reference cluster as a whole, the overall wind speed value reflects the wind speed value of the reference cluster as a whole, and the area parameter value reflects the area size of the reference cluster as a whole; according to the time sequence, that is, the order of sampling time; the difference value of the area parameter value between two adjacent sampling times is calculated to obtain the area change value. The area change value reflects the change of the size of the reference cluster over time; the relevant indicators reflect the correlation between the wind speed and the change of the cluster area; considering that the wind speed has a more significant effect on dust diffusion when the wind direction is consistent, the wind speed interference is obtained. The greater the wind speed interference, the more serious the dust emission of the dust cluster corresponding to the dust cluster is, and the more dust reduction is needed.

[0100] The spray control module 104 is used to obtain the dust reduction demand of the monitoring point in each dust reduction cluster to be located according to the construction possibility, wind speed interference, particle concentration and environmental parameters of the dust reduction cluster to which the monitoring point belongs; and control the spray device to perform spray dust reduction based on the spatial position of the monitoring point and the dust reduction demand.

[0101] By fully considering the actual situation and environmental conditions of the construction site, the dust reduction demand of the monitoring points in each dust reduction cluster is obtained. The dust reduction demand more accurately reflects the degree of dust reduction required by the monitoring points, thereby controlling the spray device to perform precise spray dust reduction and improving the dust reduction effect at the construction site.

[0102] In order to analyze the degree to which dust reduction is required at a monitoring point, in one embodiment of the present invention, a method for obtaining the dust reduction requirement includes:

[0103] Environmental parameters include temperature and humidity;

[0104] In the dust-falling cluster to which the monitoring point belongs, the first demand parameter of the monitoring point is obtained according to the construction possibility, wind speed interference and the total number of all monitoring points; the construction possibility, wind speed interference and the total number of all monitoring points are positively correlated with the first demand parameter;

[0105] According to the particle concentration, temperature and humidity of the monitoring point, the second demand parameter of the monitoring point is obtained; the particle concentration and temperature are both positively correlated with the second demand parameter; and the humidity is negatively correlated with the second demand parameter;

[0106] The dust reduction demand degree of the monitoring point in each of the dust reduction clusters is obtained according to the first demand parameter and the second demand parameter.

[0107] Specifically, in the dust cluster to which the monitoring point belongs, the ratio of the total number of all monitoring points in the dust cluster to be settled to the total number of all monitoring points in the construction plane is calculated, and the construction possibility, wind speed interference and the sum of the ratios are calculated to obtain the first demand parameter; the sum of humidity and the preset denominator adjustment value is calculated as the first indicator; the product of particulate matter concentration and temperature is calculated to obtain the second indicator; the ratio of the second indicator to the first indicator is calculated to obtain the third indicator; the third indicator is normalized to obtain the second demand parameter; the product of the first demand parameter and the second demand parameter is calculated to obtain the dust reduction demand of the monitoring point. In one embodiment of the present invention, the normalization method is: normalization is performed using the norm normalization function to limit the value range to between 0 and 1. In one embodiment of the present invention, the preset denominator adjustment value is used to ensure that the denominator is not 0, and the preset denominator adjustment value is a number greater than 0. This embodiment sets it to 0.001, and the implementer can set it according to the implementation scenario. Among them, the total number of all monitoring points in the construction plane is used to normalize the total number of all monitoring points in the dust cluster to be settled.

[0108] For the above steps, the greater the construction possibility, the higher the probability of construction work being carried out in the area where the monitoring point is located at the target time, and the greater the dust reduction demand. The greater the wind speed interference, the more serious the dust generated by the wind in the area where the monitoring point is located at the target time, and the more dust reduction is needed. The greater the total number of all monitoring points in the cluster to be dusted to which the monitoring point belongs, the larger the high-concentration dust area where the monitoring point is located, and the more dust reduction is needed; then the first demand parameter is obtained, and the first demand parameter reflects the degree of dust reduction required in the area where the monitoring point is located; the greater the concentration of particulate matter, the higher the dust content in the air around the monitoring point, and the more dust reduction is needed at the monitoring point; the higher the temperature, the drier the air around the monitoring point, the easier it is for dust to suspend in the air, and the more dust reduction is needed at the monitoring point; the greater the humidity, the easier it is for the surrounding area of ​​the monitoring point to settle, and the less dust reduction is needed at the monitoring point; the first demand parameter reflects the degree of dust reduction required at the monitoring point; finally, the dust reduction demand is obtained, and the dust reduction demand more accurately reflects the degree of dust reduction required at the monitoring point.

[0109] In one embodiment of the present invention, a method for controlling a spray device to perform spray dust reduction based on the spatial position of a monitoring point and the dust reduction demand includes:

[0110] The product of the dust reduction demand of the monitoring point in each cluster to be dusted and the preset water pump power is calculated to obtain the target water pump power of the monitoring point in each cluster to be dusted; the target water pump power and spatial position of the monitoring point in each cluster to be dusted are used as control instructions, and the spray control device transmits the control instructions to the signal receiving device of the dust reduction spray device, and the dust reduction spray device performs spray dust reduction. In one embodiment of the present invention, the preset water pump power is 32, and the implementer can set it according to the implementation scenario.

[0111] Among them, the spatial position of the monitoring point in the control instruction can ensure that the spray coverage can cover the area where dust reduction is required, while avoiding spraying the area where dust reduction is not required. The target water pump power of the monitoring point in the control instruction can ensure that the water pump power of the spray is appropriate, so that the monitoring point with high dust reduction demand outputs a larger spray volume to quickly reduce the concentration of particulate matter, and the monitoring point with low dust reduction demand outputs a smaller spray volume to save resources. By reasonably controlling the spray device for precise spray dust reduction, the dust reduction effect on the construction site can be improved.

[0112] The present invention also provides a dust reduction spray method for use on a construction site, which uses the dust reduction spray device for use on a construction site proposed by the present invention to perform spray control.

[0113] In summary, the embodiment of the present invention provides a dust reduction spray device and method for a construction site. First, the construction possibility of the cluster to be dusted is obtained according to the spatial distribution difference of the particle concentration of the monitoring point in the cluster to be dusted; the wind speed interference of the cluster to be dusted is obtained according to the change of the wind speed and size of the reference cluster over time and the wind direction consistency; the dust reduction demand of the monitoring point in each cluster to be dusted is obtained according to the construction possibility, wind speed interference of the cluster to be dusted to which the monitoring point belongs, and the particle concentration and environmental parameters of the monitoring point; the spray device is controlled to perform spray dust reduction based on the spatial position of the monitoring point and the dust reduction demand. In the embodiment of the present invention, the spray device is reasonably controlled to perform precise spray dust reduction to improve the dust reduction effect at the construction site.

[0114] It should be noted that the sequence of the above embodiments of the present invention is for description only and does not represent the advantages and disadvantages of the embodiments. The processes depicted in the accompanying drawings do not necessarily require the specific order or continuous order shown to achieve the desired results. In some embodiments, multitasking and parallel processing are also possible or may be advantageous.

[0115] The various embodiments in this specification are described in a progressive manner, and the same or similar parts between the various embodiments can be referenced to each other, and each embodiment focuses on the differences from other embodiments.

Claims

1. A dust suppression spray device for use at a construction site, the spray device comprising: The device body is characterized in that the spray device also includes a spray control device, and the spray control device includes: The data acquisition module is used to obtain the spatial positions of all monitoring points in the construction plane and the particle concentration, wind speed and environmental parameters of all monitoring points at each sampling time; The construction analysis module is used to take the last sampling moment as the target moment; at the target moment, the monitoring points are clustered according to the difference in the particle concentration between any two monitoring points and the interval of the spatial position, and the clusters to be dusted are screened out; according to the difference in the spatial distribution of the particle concentration at the monitoring points in the clusters to be dusted, the construction possibility of the clusters to be dusted is obtained; The method for obtaining the dust clusters to be removed includes: At the target time, according to the difference of the particle concentrations of the two monitoring points and the interval of the spatial positions, the distance measurement value of the two monitoring points is obtained; Clustering all the monitoring points according to the distance metric value to obtain concentration clusters at the target time; Calculate the mean value of the particle concentration of all monitoring points of the concentration cluster to obtain the overall concentration parameter of the concentration cluster, and take the concentration cluster whose overall concentration parameter is greater than a preset concentration threshold as the dust cluster to be settled; The wind speed interference analysis module is used to track the dust clusters to be treated according to the particle concentrations of all monitoring points corresponding to each sampling time, and obtain the reference cluster set corresponding to the dust clusters to be treated; in the reference cluster set of the dust clusters to be treated, the wind direction consistency is obtained according to the spatial distribution consistency of the particle concentration of the reference cluster set, and the wind speed interference of the dust clusters to be treated is obtained according to the change of the wind speed and size of the reference clusters over time and the wind direction consistency; The method for obtaining the reference cluster set includes: According to the particle concentration at each sampling moment, all monitoring points at each sampling moment are clustered to obtain all the concentration clusters at each sampling moment; the dust cluster to be tracked is tracked according to the concentration cluster at each sampling moment using a target tracking algorithm, and the concentration cluster corresponding to the dust cluster at the sampling moment is identified as a reference cluster of the dust cluster to be settled, and all the reference clusters are counted to obtain a reference cluster set corresponding to the dust cluster to be settled; The method for obtaining the wind direction consistency includes: In the dust cluster to be settled, according to the particle concentration at the monitoring point, the dust diffusion vector and the diffusion characteristic angle of the monitoring point are obtained; the mean of the dust diffusion vectors of all the monitoring points in the reference cluster is calculated to obtain the cluster wind direction vector of the reference cluster; the value of the angle between the cluster wind direction vectors of any two reference clusters is used as the first parameter of any two reference clusters; the mean of all the first parameters is calculated, and the mean is inversely normalized to obtain the wind direction consistency; The method for obtaining the wind speed interference degree includes: Calculate the wind speed corresponding to all monitoring points in the reference cluster as the overall wind speed value of the reference cluster; use the number of all monitoring points in the reference cluster as the area parameter value of the reference cluster; calculate the difference value of the area parameter value of the reference cluster in time sequence to obtain the area change value of the reference cluster; normalize the Pearson correlation coefficient of the overall wind speed value and the area change value in time sequence to obtain the relevant index; calculate the mean of the relevant index and the wind direction consistency to obtain the wind speed interference degree of the dust cluster to be settled; The spray control module is used to obtain the dust reduction demand of the monitoring point in each dust reduction cluster according to the construction possibility, wind speed interference, particle concentration and environmental parameters of the dust reduction cluster where the monitoring point is located; and control the spray device to perform spray dust reduction based on the spatial position of the monitoring point and the dust reduction demand.

2. A dust suppression spray device for construction sites according to claim 1, characterized in that: The method for obtaining the distance metric value includes: At the target time, according to the difference in the particle concentrations at any two monitoring points, a concentration difference index is obtained; The Euclidean distance between the spatial positions of any two monitoring points is used as a position interval indicator; According to the concentration difference index and the position interval index, the distance measurement value between any two monitoring points at the target time is obtained.

3. A dust suppression spray device for construction sites according to claim 1, characterized in that: The method for obtaining the constructability includes: According to the inconsistency of the diffusion characteristic angles of all monitoring points, the diffusion disorder index of the dust cluster to be settled is obtained; The dust diffusion vectors of all monitoring points are integrated to obtain the diffusion consistency index of the dust clusters to be settled; According to the diffusion chaos index and the diffusion consistency index, the construction possibility of the dust cluster to be reduced is obtained; the diffusion chaos index and the construction possibility are positively correlated; the diffusion consistency index and the construction possibility are negatively correlated.

4. A dust suppression spray device for construction sites according to claim 3, characterized in that: The method for obtaining the dust diffusion vector and diffusion characteristic angle of the monitoring point includes: In the dust cluster to be reduced on the construction plane, the monitoring point with the minimum particle concentration is used as the point to be pointed to; The direction of the dust diffusion vector of the monitoring point is from the monitoring point to the point to be directed, and the modulus of the dust diffusion vector of the monitoring point is a preset modulus value; the angle value between the positive direction of the horizontal axis in the construction plane and the dust diffusion vector is used as the diffusion characteristic angle of the monitoring point; the positive direction of the horizontal axis is east.

5. A dust suppression spray device for construction sites according to claim 1, characterized in that: The method for obtaining the dust reduction demand degree includes: The environmental parameters include temperature and humidity; In the dust-reduction cluster to which the monitoring point belongs, a first demand parameter of the monitoring point is obtained according to the construction possibility, the wind speed interference degree and the total number of all monitoring points; the construction possibility, the wind speed interference degree and the total number of all monitoring points are all positively correlated with the first demand parameter; According to the particle concentration, temperature and humidity of the monitoring point, a second demand parameter of the monitoring point is obtained; the particle concentration and temperature are both positively correlated with the second demand parameter; and the humidity is negatively correlated with the second demand parameter; The dust reduction demand degree of the monitoring point in each of the dust reduction clusters is obtained according to the first demand parameter and the second demand parameter.

6. A dust suppression spray method for construction sites, characterized in that: The method uses a dust suppression spray device for use at a construction site as described in any one of claims 1 to 5 to perform spray control.

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