An engineering construction dust monitoring system based on multi-dimensional data analysis

Abstract

The present application relates to the technical field of dust monitoring, and particularly relates to an engineering construction dust monitoring system based on multidimensional data analysis, which is provided with a feature acquisition module, a region screening module, a joint monitoring and analysis module, a dust migration identification module, and a monitoring point regulation module, acquires dust concentration monitoring values, dust particle size monitoring values, and wind direction sub-vectors through the feature acquisition module, screens dust source regions through the region screening module, determines whether dust diffusion has diffusion superposition characteristics through the joint monitoring and analysis module, divides the dust source regions into different dust migration regions through the dust migration identification module, and determines an extension path and dust monitoring points through the monitoring point regulation module, thereby realizing rapid identification of dust sources, adaptively adjusting monitoring points according to the position distribution of the dust sources and the wind direction, and improving the monitoring efficiency and monitoring reliability of the engineering construction dust monitoring system.

Description

Technical Field

[0001] The present invention relates to the technical field of dust monitoring, and in particular to an engineering construction dust monitoring system based on multidimensional data analysis. Background Art

[0002] With the acceleration of urbanization, construction activities are becoming more and more frequent. The harm of dust generated during construction to the environment and human health cannot be ignored. Dust particles can carry a variety of harmful substances into the human respiratory tract, causing respiratory diseases such as coughing, asthma, bronchitis, pneumoconiosis, etc., and may also aggravate the condition of patients with cardiovascular diseases. Traditional construction dust monitoring systems mainly use single-point or distributed concentration monitoring methods, and obtain data by arranging dust concentration sensors at fixed points, combined with manual inspections or simple data analysis to achieve pollution warnings. Such systems are usually based on single-dimensional dust concentration data for monitoring, and lack of dust particle size distribution, wind direction and atmosphere. The comprehensive analysis of multi-dimensional parameters such as flow is difficult to adapt to the dynamic monitoring needs of dust in complex construction environments. There are usually multiple dust generating sources in the construction site. Dust diffusion will occur under the influence of wind. The superposition of diffusion causes large differences in dust concentration in different areas. Some areas will have high concentrations due to the superposition of multiple dust sources, while other areas have lower concentrations, resulting in some monitoring points being unable to represent the overall situation. It is necessary to reasonably increase the number of monitoring points and optimize the layout. The existing monitoring points are usually arranged according to preset plans, which will lead to incomplete monitoring data or waste of resources. Therefore, adaptively adjusting the monitoring points and improving the efficiency and reliability of the construction dust monitoring system are technical problems that need to be solved urgently.

[0003] For example, China Patent Authorization Announcement No.: CN116399773B, the invention discloses a dust monitoring system for a construction environment, including, in the process of determining the dust concentration corresponding to the optimal detection direction of the current detection position using a simulated annealing algorithm, when the acceptance probability of the new solution corresponding to the current round of disturbance is obtained, the dust concentration detection accuracy before and after the current round of disturbance is determined according to the wind speed of the current detection position and the angle between the detection direction before and after the current round of disturbance and the wind direction of the current detection position, based on the dust concentration detection accuracy and the corresponding angle, the acceptance probability of the new solution corresponding to the current round of disturbance is corrected, and the dust concentration in the optimal detection direction is determined as the dust concentration of the current detection position.

[0004] The following problems also exist in the prior art:

[0005] The existing technology does not take into account the fact that there are usually multiple dust sources in the construction site. Dust diffusion will occur under the influence of wind. The superposition of diffusion causes large differences in dust concentration in different areas. The arrangement of fixed monitoring points for dust monitoring will affect the reliability of the dust monitoring system. The existing technology cannot quickly identify the dust source, and cannot adaptively adjust the monitoring points according to the location distribution of the dust source and the wind direction, which affects the monitoring efficiency and reliability of the construction dust monitoring system. Summary of the Invention

[0006] To this end, the present invention provides an engineering construction dust monitoring system based on multidimensional data analysis to overcome the problems that the existing technology cannot quickly identify the source of dust generation and cannot adaptively adjust the monitoring points according to the location distribution and wind direction of the dust generation source, which affects the monitoring efficiency and reliability of the engineering construction dust monitoring system.

[0007] To achieve the above objectives, the present invention provides an engineering construction dust monitoring system based on multidimensional data analysis, comprising:

[0008] A feature acquisition module, comprising a dust feature acquisition unit for acquiring dust concentration monitoring values ​​and dust particle size monitoring values ​​for a plurality of construction monitoring areas in the construction site, and a wind direction feature acquisition unit for acquiring wind direction sub-vectors for each construction monitoring area;

[0009] An area screening module, connected to the feature acquisition module, is used to determine the dust concentration fluctuation value based on the dust concentration monitoring value of the construction monitoring area within a preset monitoring period to screen the dust source area;

[0010] a joint monitoring and analysis module, connected to the feature acquisition module and the region screening module, respectively, for determining a plurality of distribution subvectors based on the location distribution of the dust generation source area, determining whether the dust diffusion has a diffusion superposition feature based on a comparison of the distribution subvectors and the wind direction characterization vector, and determining a characteristic distribution subvector;

[0011] a dust migration identification module connected to the joint monitoring and analysis module, configured to divide the dust generation source area into different dust migration areas according to the characteristic distribution subvectors based on the determination result having the diffusion superposition feature;

[0012] A monitoring point control module is connected to the feature acquisition module and the dust migration identification module respectively, and is used to determine the extension path of the dust migration area based on the dust migration area and the wind direction characterization vector, and determine the dust monitoring point of the dust migration area according to the dust particle size monitoring value on the extension path.

[0013] Furthermore, the area screening module is used to determine the dust concentration fluctuation value, wherein,

[0014] The area screening module obtains the dust concentration monitoring values ​​of the construction monitoring area at several moments within a preset monitoring period, calculates the absolute value of the difference between the dust concentration monitoring value at the previous moment and the dust concentration monitoring value at the adjacent next moment, and determines the absolute value of the difference as the dust concentration fluctuation value at the next moment.

[0015] Furthermore, the area screening module is used to screen the dust source area, wherein:

[0016] The area screening module screens the construction monitoring area as a dust generation source area based on a determination result that the dust concentration fluctuation value in the construction monitoring area meets the dust generation source condition;

[0017] The dust generation source condition is that there is a moment when the dust concentration fluctuation value in the construction monitoring area exceeds a preset dust concentration fluctuation value threshold.

[0018] Furthermore, the joint monitoring and analysis module is used to determine the wind direction characterization vector of the construction site, wherein:

[0019] The joint monitoring and analysis module determines a vector obtained by adding the wind direction sub-vectors of each dust generation source area as a wind direction characterization vector, where the wind direction sub-vector is constructed with wind direction as the vector direction and wind speed as the vector magnitude.

[0020] Furthermore, the joint monitoring and analysis module is used to determine a number of distribution sub-vectors, wherein:

[0021] The distribution sub-vector is constructed based on the dust monitoring points of any two dust generation source areas.

[0022] Furthermore, the joint monitoring and analysis module is used to determine whether the dust diffusion has a diffusion superposition feature, wherein:

[0023] The joint monitoring and analysis module determines that the dust diffusion at the construction site has a diffusion superposition characteristic based on a comparison result of the distribution sub-vector and the wind direction characterization vector, and determines the distribution sub-vector as a characteristic distribution sub-vector;

[0024] The dust diffusion superposition condition is that the vector angle between the distribution sub-vector and the wind direction characterization vector does not exceed a preset angle threshold.

[0025] Furthermore, the dust migration identification module is used to divide the dust generation source area into different dust migration areas, wherein,

[0026] The dust migration identification module divides the dust generation source area of ​​the vector starting point and the vector end point of each migration trend vector into the same dust migration area. The migration trend vector is a characteristic distribution subvector with the dust monitoring point of the characteristic dust generation source area as the vector starting point.

[0027] The characteristic dust generation source area is determined according to the wind direction characterization vector.

[0028] Furthermore, the monitoring point control module is used to determine the extension path of the dust migration area, wherein:

[0029] The monitoring point control module calculates the interval distance between the characteristic dust generation source area and the remaining dust generation source areas in the dust migration area, determines the dust generation source area with the maximum interval distance as the starting point of the extension path, and uses the vector direction of the wind direction characterization vector as the extension direction of the extension path.

[0030] Furthermore, the monitoring point control module is used to determine the dust monitoring points in the dust migration area, wherein:

[0031] The monitoring point control module determines the midpoint of the adjacent monitoring points on the extension path as the dust monitoring point of the dust migration area based on the result of determining that the adjacent monitoring points on the extension path meet the dust monitoring point conditions;

[0032] The dust monitoring point condition is that the absolute value of the difference between the dust particle size monitoring values ​​of adjacent monitoring points exceeds a preset absolute value threshold of the difference.

[0033] Furthermore, the dust parameter collection frequency of the dust monitoring point is positively correlated with the number of dust generation source areas in the dust migration area and the number and value of dust concentration fluctuations in the dust generation source areas.

[0034] Compared with the prior art, the beneficial effect of the present invention lies in that the present invention sets a feature acquisition module, a regional screening module, a joint monitoring and analysis module, a dust migration identification module, and a monitoring point control module. The feature acquisition module is used to obtain dust concentration monitoring values, dust particle size monitoring values, and wind direction sub-vectors. The regional screening module is used to determine the dust concentration fluctuation value to screen the dust source area. The joint monitoring and analysis module is used to determine several distribution sub-vectors to determine whether the dust diffusion has diffusion superposition characteristics and determine the feature distribution sub-vectors. The dust source area is divided into different dust migration areas by the dust migration identification module. The extension path of the dust migration area is determined by the monitoring point control module. The dust monitoring points of the dust migration area are determined according to the dust particle size monitoring values ​​on the extension path. Thus, the dust source is quickly identified, and the monitoring points are adjusted according to the location distribution of the dust source and the wind direction adaptability, thereby improving the monitoring efficiency and monitoring reliability of the engineering construction dust monitoring system.

[0035] In particular, the present invention determines the dust concentration fluctuation value through the regional screening module to screen the dust source area. It can be understood that there are often multiple dust sources in engineering construction, such as earth excavation areas, steel bar processing areas, and material storage areas. The calculation of the dust concentration fluctuation value is based on continuous monitoring data, which can reflect the changes in dust concentration in real time. By screening the dust concentration fluctuation value, the dust source area can be accurately determined from many construction monitoring areas. After accurately screening the dust source area, the system can further combine multi-dimensional data such as wind direction and dust particle size to reasonably adjust the allocation of monitoring resources according to the dust generation situation in different areas, realize dynamic adjustment of monitoring points, and avoid fixed points from being unable to adapt to dust diffusion changes, affecting the reliability of dust monitoring data and the efficiency and effect of dust control. The present invention determines the dust concentration fluctuation value through the regional screening module to screen the dust source area, thereby realizing rapid identification of dust sources and improving the monitoring efficiency and reliability of the engineering construction dust monitoring system.

[0036] In particular, the present invention determines whether the dust diffusion has the characteristics of diffusion superposition based on the comparison of the distribution sub-vector and the wind direction characterization vector through the joint monitoring and analysis module, and determines the characteristic distribution sub-vector. It can be understood that the high superposition risk area under the synergistic effect of wind direction and dust source area distribution can be quickly identified through vector comparison, avoiding the distortion of monitoring data caused by the fixed point not covering the superposition area. For example, when the distribution direction of multiple tower crane operating areas is consistent with the dominant wind direction, the system can determine that there is diffusion superposition in the area, and then focus on monitoring. Different from traditional fixed-point monitoring, the coupling relationship between dust source distribution and wind direction is captured in real time through vector analysis, which solves the problem of large spatial differences in dust concentration in multi-source dust generation source area scenarios. For example, in the construction site of a building complex, different buildings have different dust concentrations. The dust source area of ​​the building can be determined by comparing the distribution sub-vector with the wind direction to determine whether it has an overlapping impact on the same downstream area. The overlapping area that needs to be monitored is locked based on the characteristic distribution sub-vector to avoid blind deployment of monitoring resources. The system can add dynamic monitoring points in the extension direction of the overlapping area to improve the accuracy of capturing the overlapping dust concentration. By quantitatively analyzing the diffusion superposition characteristics, the layout of the monitoring points is transformed from fixed preset to dynamic response, which effectively solves the defect that fixed points cannot adapt to the diffusion superposition of multiple sources, thereby improving the accuracy of dust concentration data and the reliability of the monitoring system. Furthermore, it is realized to determine whether the dust diffusion has diffusion superposition characteristics based on the location distribution and wind direction of the dust generation source, thereby improving the monitoring efficiency and reliability of the engineering construction dust monitoring system.

[0037] In particular, the present invention divides the dust generation source area into different dust migration areas according to the characteristic distribution sub-vector through the dust migration identification module. It can be understood that through the correlation analysis of the characteristic distribution sub-vector and the wind direction, the dust sources are grouped according to the migration trend, which avoids dividing the sources with irrelevant diffusion paths into the same area, and improves the accuracy of the migration area division. If the distribution direction of two dust sources has a large angle with the wind direction, their diffusion paths may be independent of each other and will not be divided into the same area. The scope and path of dust diffusion in each area are clarified, so that construction managers can have a clearer understanding of the spread of dust in the site, thereby formulating more targeted dust control strategies and improving the accuracy and effectiveness of dust control. The wind direction characterization vector is a real-time synthesis of the wind direction sub-vectors of each source, which can be dynamically adjusted as the wind direction changes. The feature distribution sub-vectors and the division of migration areas will also be dynamically updated, which can adapt to the changes in dust migration paths caused by wind changes in the engineering site. After dividing the migration areas, monitoring resources and governance measures can be reasonably allocated, and monitoring points can be targeted at key nodes of the migration path. In the same migration area, dust gradually spreads, and monitoring points can be arranged at locations where concentrations are easily superimposed, thereby optimizing the allocation of monitoring resources. Due to the overlapping diffusion paths of dust sources in the same migration area, the dust concentration in this area will be higher than that in the area with single source diffusion. Through regional division, these high-concentration areas can be monitored in a focused manner to improve the early warning accuracy of dust exceeding the standard risk, and thus realize the division of dust generation source areas into different dust migration areas, thereby improving the monitoring efficiency and reliability of the engineering construction dust monitoring system.

[0038] In particular, the present invention determines the extension path and dust monitoring points of the dust migration area through the monitoring point control module. It can be understood that by determining the extension path and dust monitoring points of the dust migration area through the monitoring point control module, the monitoring layout can be reasonably planned according to the actual situation of dust diffusion, avoiding the monitoring blind spots or resource waste caused by fixed monitoring points, so that the monitoring points can accurately cover the key paths and important areas of dust migration, improve the representativeness and comprehensiveness of monitoring, and determine the dust monitoring points based on the dust particle size monitoring values ​​on the extension path. It is possible to accurately locate the key positions in the dust migration process for monitoring. These key positions are of great significance for assessing the risk of dust diffusion and controlling dust pollution. It helps to timely grasp the changes in dust concentration and provide accurate data support for taking effective dust reduction measures. The collection frequency is positively correlated with the number of dust source areas and the number of dust concentration fluctuations, so that the monitoring system can dynamically adjust the monitoring density according to the activity of the dust source and the change of dust concentration. It automatically increases the monitoring frequency in areas with many dust sources and large concentration fluctuations, captures subtle changes in dust concentration in time, and enhances the monitoring system's monitoring capabilities in high-risk areas. It reduces the monitoring frequency in areas with few dust sources and relatively stable concentrations, optimizes the utilization efficiency of monitoring resources, and thus realizes the adaptive adjustment of monitoring points, thereby improving the monitoring efficiency and reliability of the construction dust monitoring system. BRIEF DESCRIPTION OF THE DRAWINGS

[0039] Figure 1 This is a functional block diagram of an engineering construction dust monitoring system based on multidimensional data analysis according to an embodiment of the present invention;

[0040] Figure 2 This is a logic flow chart of the regional screening module screening dust source areas according to an embodiment of the present invention;

[0041] Figure 3 A schematic diagram of determining a distribution subvector according to an embodiment of the present invention;

[0042] Figure 4 This is a logic flow chart of the joint monitoring and analysis module in an embodiment of the present invention for determining whether dust diffusion has the diffusion superposition feature;

[0043] In the figure: 1- wind direction characterization vector; 2- dust monitoring point; 3- distribution sub-vector; 4- dust generation source area A; 5- dust generation source area B; 6- dust generation source area C. DETAILED DESCRIPTION

[0044] In order to make the objects and advantages of the present invention more clearly understood, the present invention is further described below in conjunction with embodiments; it should be understood that the specific embodiments described herein are merely used to explain the present invention and are not intended to limit the present invention.

[0045] The preferred embodiments of the present invention are described below with reference to the accompanying drawings. It should be understood by those skilled in the art that these embodiments are only used to explain the technical principles of the present invention and are not intended to limit the scope of protection of the present invention.

[0046] It should be noted that, in the description of the present invention, terms such as "upper", "lower", "inside" and "outside" indicating directions or positional relationships are based on the directions or positional relationships shown in the accompanying drawings. This is only for the convenience of description and does not indicate or imply that the device or element must have a specific orientation, be constructed and operated in a specific orientation. Therefore, it cannot be understood as a limitation on the present invention.

[0047] Furthermore, it should be noted that, in the description of the present invention, unless otherwise expressly specified or limited, the terms "mounted" and "connected" should be understood in a broad sense. For example, they may refer to fixed, detachable, or integral connections; mechanical or electrical connections; direct or indirect connections through an intermediate medium; or internal communication between two components. Those skilled in the art will understand the specific meanings of the above terms in the present invention based on specific circumstances.

[0048] See also Figure 1 As shown in FIG, which is a functional block diagram of an engineering construction dust monitoring system based on multidimensional data analysis according to an embodiment of the present invention, an engineering construction dust monitoring system based on multidimensional data analysis according to the present invention includes:

[0049] A feature acquisition module, comprising a dust feature acquisition unit for acquiring dust concentration monitoring values ​​and dust particle size monitoring values ​​for a plurality of construction monitoring areas in the construction site, and a wind direction feature acquisition unit for acquiring wind direction sub-vectors for each construction monitoring area;

[0050] Specifically, the embodiment of the present invention does not specifically limit the structure of the dust feature acquisition unit. Preferably, it can obtain the dust concentration monitoring value and the dust particle size monitoring value by combining a laser dust concentration sensor with a laser particle size analyzer, which will not be repeated here.

[0051] Specifically, the feature acquisition module also includes a positioning unit. The embodiment of the present invention does not specifically limit the structure of the positioning unit. Preferably, it can be a GPS chip to obtain the location coordinates of each construction monitoring area, which will not be repeated here.

[0052] Specifically, the embodiment of the present invention does not specifically limit the structure of the wind direction feature acquisition unit. Preferably, it can be implemented by a wind direction sensor in conjunction with a microprocessor. The wind direction and wind speed in the construction monitoring area are obtained by the wind direction sensor, and the wind direction sub-vector is constructed by the microprocessor. This will not be repeated.

[0053] Specifically, the wind direction vector of each construction monitoring area can be obtained at several monitoring moments within the preset monitoring period, and the vector obtained by adding the wind direction vectors obtained at several monitoring moments is determined as the wind direction sub-vector of the construction monitoring area. The preset monitoring period can be set by technical personnel in this field according to the accuracy requirements of the engineering construction dust monitoring system. The higher the accuracy requirement, the shorter the preset monitoring period. The value range of the preset monitoring period can be [1, 2], and the interval unit is h. The value range of the interval between adjacent monitoring moments can be [20, 35], and the interval unit is min. Preferably, the preset monitoring period can be 1.5h, and the interval length can be 30min. During this monitoring period, the wind direction in the construction monitoring area changes relatively smoothly, and the phenomenon of opposite wind direction in a short period of time will not occur.

[0054] Specifically, the area of ​​each construction monitoring area in the construction site is the product of the area of ​​the construction site and the area division factor. The area division factor can be set by technical personnel in this field according to the accuracy requirements of the construction dust monitoring system. The higher the accuracy requirement, the smaller the area division factor is set. The value range of the area division factor can be [0.02, 0.04]. Preferably, the area division factor can be 0.03.

[0055] An area screening module, connected to the feature acquisition module, is used to determine the dust concentration fluctuation value based on the dust concentration monitoring value of the construction monitoring area within a preset monitoring period to screen the dust source area;

[0056] Specifically, the embodiment of the present invention does not specifically limit the structure of the area screening module. Preferably, it can be a processor used in a computer to determine the dust concentration fluctuation value and screen the dust source area, which will not be repeated here.

[0057] Specifically, the preset monitoring period can be set by technical personnel in this field according to the accuracy requirements of the engineering construction dust monitoring system. The higher the accuracy requirement, the shorter the preset monitoring period. The value range of the preset monitoring period can be [1, 2], and the interval unit is h. Preferably, the preset monitoring period can be 1.5h.

[0058] a joint monitoring and analysis module, connected to the feature acquisition module and the region screening module, respectively, for determining a plurality of distribution subvectors based on the location distribution of the dust generation source area, determining whether the dust diffusion has a diffusion superposition feature based on a comparison of the distribution subvectors and the wind direction characterization vector, and determining a characteristic distribution subvector;

[0059] Specifically, the embodiment of the present invention does not specifically limit the structure of the joint monitoring and analysis module. Preferably, it can be composed of logic components, which can be microprocessors and processors used in computers, etc., to determine the distribution sub-vectors, determine whether the dust diffusion has diffusion superposition characteristics, and determine the characteristic distribution sub-vectors. This will not be repeated.

[0060] a dust migration identification module connected to the joint monitoring and analysis module, configured to divide the dust generation source area into different dust migration areas according to the characteristic distribution subvectors based on the determination result having the diffusion superposition feature;

[0061] Specifically, the embodiment of the present invention does not specifically limit the structure of the dust migration identification module. Preferably, it can be a field programmable logic component to divide the dust generation source area into different dust migration areas, which will not be repeated here.

[0062] A monitoring point control module is connected to the feature acquisition module and the dust migration identification module respectively, and is used to determine the extension path of the dust migration area based on the dust migration area and the wind direction characterization vector, and determine the dust monitoring point of the dust migration area according to the dust particle size monitoring value on the extension path.

[0063] Specifically, the embodiment of the present invention does not specifically limit the structure of the monitoring point control module. Preferably, it can be a microprocessor to determine the extension path of the dust migration area and determine the dust monitoring points, which will not be repeated here.

[0064] Specifically, the area screening module is used to determine the dust concentration fluctuation value, wherein,

[0065] The area screening module obtains the dust concentration monitoring values ​​of the construction monitoring area at several moments within a preset monitoring period, calculates the absolute value of the difference between the dust concentration monitoring value at the previous moment and the dust concentration monitoring value at the adjacent next moment, and determines the absolute value of the difference as the dust concentration fluctuation value at the next moment.

[0066] Specifically, the interval durations at several moments within the preset monitoring period can be set by technical personnel in this field based on the accuracy requirements of the engineering construction dust monitoring system. The higher the accuracy requirements, the shorter the interval duration is set. The value range of the interval duration can be [1, 5], and the interval unit is min. Preferably, the interval duration can be 2 minutes.

[0067] See also Figure 2 As shown, it is a logic flow chart of the regional screening module screening the dust source area according to an embodiment of the present invention. The regional screening module is used to screen the dust source area, wherein:

[0068] The area screening module screens the construction monitoring area as a dust generation source area based on a determination result that the dust concentration fluctuation value in the construction monitoring area meets the dust generation source condition;

[0069] If the dust concentration fluctuation value in the construction monitoring area does not meet the dust generation source condition, the area screening module will not screen the construction monitoring area;

[0070] The dust generation source condition is that there is a moment when the dust concentration fluctuation value in the construction monitoring area exceeds a preset dust concentration fluctuation value threshold.

[0071] Specifically, the preset dust concentration fluctuation value threshold is calculated through historical data, and several historical dust concentration fluctuation values ​​are obtained in advance. The preset dust concentration fluctuation value threshold is determined to be selected within [1.1, 1.3] times the average value of the historical dust concentration fluctuation values. Preferably, it can be 1.2 times.

[0072] Specifically, the embodiment of the present invention determines the dust concentration fluctuation value through the regional screening module to screen the dust source area. It can be understood that there are often multiple dust sources in engineering construction, such as earth excavation areas, steel bar processing areas, and material storage areas. The calculation of the dust concentration fluctuation value is based on continuous monitoring data, which can reflect the changes in dust concentration in real time. By screening the dust concentration fluctuation value, the dust source area can be accurately determined from many construction monitoring areas. After accurately screening the dust source area, the system can further combine multi-dimensional data such as wind direction and dust particle size to reasonably adjust the allocation of monitoring resources according to the dust generation situation in different areas, realize dynamic adjustment of monitoring points, and avoid fixed points from being unable to adapt to dust diffusion changes, affecting the reliability of dust monitoring data and the efficiency and effect of dust control. The embodiment of the present invention determines the dust concentration fluctuation value through the regional screening module to screen the dust source area, thereby realizing rapid identification of dust sources and improving the monitoring efficiency and reliability of the engineering construction dust monitoring system.

[0073] Specifically, it can be understood that dust generating sources such as construction blasting, material cutting, earth excavation and other working areas will dynamically release dust during work, causing the dust concentration in the area to change significantly over time, while the dust concentration in the non-generating source area is usually relatively stable, or only changes slowly due to diffusion. The dust generating source area is usually the main source of dust emissions during engineering construction, and its dust concentration often shows a large fluctuation range. In the dust generating source area, due to the progress of construction activities, such as excavation, crushing, loading and unloading, a large amount of dust will be generated in a short period of time, causing the dust concentration to rise rapidly. The dust concentration fluctuation value is obtained by calculating the difference between the dust concentration monitoring values ​​at adjacent moments. It reflects the severity of the dust concentration change in a short period of time. When the dust concentration fluctuation value in the monitoring area increases significantly, that is, the current monitoring area belongs to the dust generating source area, the embodiment of the present invention determines the dust concentration fluctuation value through the area screening module to screen the dust generating source area, thereby achieving rapid identification of the dust generating source and improving the monitoring efficiency and monitoring reliability of the engineering construction dust monitoring system.

[0074] Specifically, the joint monitoring and analysis module is used to determine the wind direction characterization vector of the construction site, where:

[0075] The joint monitoring and analysis module determines a vector obtained by adding the wind direction sub-vectors of each dust generation source area as a wind direction characterization vector, where the wind direction sub-vector is constructed with wind direction as the vector direction and wind speed as the vector magnitude.

[0076] Specifically, see Figure 3 As shown, it is a schematic diagram of determining a distribution sub-vector according to an embodiment of the present invention. The joint monitoring and analysis module is used to determine a number of distribution sub-vectors, wherein:

[0077] The distribution sub-vector is constructed based on the dust monitoring points of any two dust generation source areas.

[0078] Specifically, the distribution sub-vector is constructed along the direction of the wind direction characterization vector. The distribution sub-vector takes the dust monitoring point positions in the dust generation source areas close to the direction of the wind direction characterization vector (the dust generation source areas at the downstream position of the wind direction) in any two dust generation source areas as the vector end points, and takes the dust monitoring point positions in the dust generation source areas far from the direction of the wind direction characterization vector (the dust generation source areas at the upstream position of the wind direction) in any two dust generation source areas as the vector starting points.

[0079] For example, see Figure 3As shown, for any two dust generating source areas A and B, the dust generating source area A is located at the upstream position of the wind direction, and the dust generating source area B is located at the downstream position of the wind direction. The dust monitoring point position of the dust generating source area A is the vector starting point of the distribution sub-vector, and the dust monitoring point position of the dust generating source area B is the vector end point of the distribution sub-vector. For any two dust generating source areas B and C, the dust generating source area B is located at the upstream position of the wind direction, and the dust generating source area C is located at the downstream position of the wind direction. The dust monitoring point in dust source area B is the vector starting point of the distribution sub-vector, and the dust monitoring point in dust source area C is the vector end point of the distribution sub-vector for construction; for any two dust source areas A and C, dust source area A is located upstream of the wind direction, and dust source area C is located downstream of the wind direction, the dust monitoring point in dust source area A is the vector starting point of the distribution sub-vector, and the dust monitoring point in dust source area C is the vector end point of the distribution sub-vector for construction.

[0080] Specifically, the dust monitoring point in the dust source area can be set at the regional center point of the dust source area.

[0081] See also Figure 4 As shown, it is a logic flow chart of the joint monitoring and analysis module of an embodiment of the present invention for determining whether dust diffusion has a diffusion superposition feature. The joint monitoring and analysis module is used to determine whether dust diffusion has a diffusion superposition feature, wherein:

[0082] The joint monitoring and analysis module determines that the dust diffusion at the construction site has a diffusion superposition characteristic based on a comparison result of the distribution sub-vector and the wind direction characterization vector, and determines the distribution sub-vector as a characteristic distribution sub-vector;

[0083] If the comparison between the distribution sub-vector and the wind direction characterization vector does not meet the dust diffusion superposition condition, the joint monitoring and analysis module determines that the dust diffusion at the construction site does not have the diffusion superposition feature;

[0084] The dust diffusion superposition condition is that the vector angle between the distribution sub-vector and the wind direction characterization vector does not exceed a preset angle threshold.

[0085] Specifically, the preset angle threshold is the product of the angle reference value and the angle threshold value factor. The angle reference value is the average value of the vector angle in the historical data under the same engineering construction scenario. The angle threshold value factor can be set by technical personnel in this field according to the accuracy requirements of the engineering construction dust monitoring system. The higher the accuracy requirement, the smaller the angle threshold value factor is set. The value range of the angle threshold value factor can be [1.1, 1.25]. Preferably, the angle threshold value factor can be 1.2.

[0086] Specifically, the embodiment of the present invention determines whether the dust diffusion has the characteristics of diffusion superposition based on the comparison of the distribution sub-vector and the wind direction characterization vector through the joint monitoring and analysis module, and determines the characteristic distribution sub-vector. It can be understood that the high superposition risk area under the synergistic effect of wind direction and dust source area distribution can be quickly identified through vector comparison, avoiding the distortion of monitoring data caused by the fixed point not covering the superposition area. For example, when the distribution direction of multiple tower crane operating areas is consistent with the dominant wind direction, the system can determine that there is diffusion superposition in the area, and then focus on monitoring. Different from traditional fixed-point monitoring, the coupling relationship between dust source distribution and wind direction is captured in real time through vector analysis, which solves the problem of large spatial differences in dust concentration in multi-source dust generation source area scenarios. For example, in the construction site of a building complex, The dust source area in the same building can be determined by comparing the distribution sub-vector with the wind direction to determine whether it has an overlapping impact on the same downstream area. The overlapping area that needs to be monitored is locked based on the characteristic distribution sub-vector to avoid blind deployment of monitoring resources. The system can add dynamic monitoring points in the extension direction of the overlapping area to improve the accuracy of capturing the overlapping dust concentration. By quantitatively analyzing the diffusion superposition characteristics, the layout of the monitoring points is transformed from fixed preset to dynamic response, which effectively solves the defect that fixed points cannot adapt to the diffusion superposition of multiple sources, thereby improving the accuracy of dust concentration data and the reliability of the monitoring system. Furthermore, it is realized to determine whether the dust diffusion has the diffusion superposition characteristics according to the location distribution and wind direction of the dust generation source, thereby improving the monitoring efficiency and reliability of the engineering construction dust monitoring system.

[0087] Specifically, it can be understood that wind direction is one of the main driving forces of dust diffusion. At the construction site, the wind direction characterization vector represents the overall wind direction trend. The wind direction characterization vector is composed of the superposition of wind direction sub-vectors of each dust generating source area, that is, a quantitative representation of the overall wind direction trend of the construction site. The distribution sub-vector is the relative distribution direction of the dust generating source area in space. The distribution sub-vector takes the direction of any two dust generating source areas close to the wind direction characterization vector as the vector end point, and takes the direction of any two dust generating source areas far away from the wind direction characterization vector as the vector starting point. When the angle between the distribution sub-vector of the dust generating source area and the wind direction characterization vector is small, the wind will push the dust from the dust generating source area to the same direction, causing the dust generated by multiple dust sources to overlap with each other in the downwind area, that is, the dust diffusion direction is more consistent with the wind direction, and the dust is more likely to spread along the wind direction. And superimposed, the distribution sub-vector represents the relative position relationship between the dust generation source areas. If the angle between the distribution sub-vector and the wind direction characterization vector is smaller, the layout of the dust generation source area makes the dust have more similar diffusion paths under the action of wind. These dusts will converge within a certain range, thereby producing a diffusion superposition phenomenon. The larger the angle, the greater the difference in the diffusion direction of the dust, and the weaker the superposition effect. By comparing the distribution sub-vector and the wind direction characterization vector, it can be judged whether the dust diffusion meets the conditions that are conducive to superposition, and then determine whether the dust diffusion has diffusion superposition characteristics, and determine the distribution sub-vector that meets the superposition conditions as the characteristic distribution sub-vector, so as to further analyze and monitor the dust diffusion trend. Furthermore, it is realized that whether the dust diffusion has diffusion superposition characteristics according to the position distribution and wind direction of the dust generation source is determined, thereby improving the monitoring efficiency and monitoring reliability of the engineering construction dust monitoring system.

[0088] Specifically, the dust migration identification module is used to divide the dust generation source area into different dust migration areas, wherein:

[0089] The dust migration identification module divides the dust generation source area of ​​the vector starting point and the vector end point of each migration trend vector into the same dust migration area. The migration trend vector is a characteristic distribution subvector with the dust monitoring point of the characteristic dust generation source area as the vector starting point.

[0090] The characteristic dust generation source area is determined according to the wind direction characterization vector.

[0091] Specifically, the characteristic dust generation source area is the dust generation source area at the most upstream position in the wind direction in a direction parallel to the wind direction characterization vector.

[0092] Specifically, the embodiment of the present invention divides the dust generation source area into different dust migration areas according to the characteristic distribution sub-vector through the dust migration identification module. It can be understood that through the correlation analysis of the characteristic distribution sub-vector and the wind direction, the dust sources are grouped according to the migration trend, which avoids dividing the sources with unrelated diffusion paths into the same area, and improves the accuracy of the migration area division. If the distribution direction of two dust sources has a large angle with the wind direction, their diffusion paths may be independent of each other and will not be divided into the same area. The scope and path of dust diffusion in each area are clarified, so that construction managers can have a clearer understanding of the spread of dust in the site, thereby formulating more targeted dust control strategies and improving the accuracy and effectiveness of dust control. The wind direction characterization vector is a real-time synthesis of the wind direction sub-vectors of each source, which can change with the wind direction. Dynamic adjustment, the feature distribution sub-vectors and the division of migration areas will also be dynamically updated, which can adapt to the changes in dust migration paths caused by wind changes in the engineering site. After dividing the migration areas, monitoring resources and governance measures can be reasonably allocated, and monitoring points can be targeted at key nodes of the migration path. In the same migration area, dust gradually spreads, and monitoring points can be arranged at locations where concentrations are easily superimposed, thereby optimizing the allocation of monitoring resources. Due to the overlapping diffusion paths of dust sources in the same migration area, the dust concentration in this area will be higher than that in the area with single source diffusion. Through regional division, these high-concentration areas can be monitored in a focused manner to improve the early warning accuracy of dust exceeding the standard risk, and thus realize the division of dust generation source areas into different dust migration areas, thereby improving the monitoring efficiency and monitoring reliability of the engineering construction dust monitoring system.

[0093] Specifically, it can be understood that the wind direction characterization vector represents the overall wind direction trend of the construction site, and plays a leading role in the diffusion of dust. The characteristic dust generation source area is determined according to the wind direction characterization vector. It is located at the forefront of dust diffusion. The migration trend vector starting from the dust generation source area can better capture the diffusion trajectory of dust under the influence of the main wind direction. Since wind is the main driving force for dust diffusion, the dust generation source area in the same migration area is more likely to gather and overlap in space under the guidance of the wind direction characterization vector, forming a relatively stable migration area. When multiple dust generation sources are located at the forefront of dust diffusion, the migration trend vector starting from the dust generation source area can better capture the diffusion trajectory of dust under the influence of the main wind direction. When the distribution direction of the area is consistent with the wind direction, the dust generated in each dust source area will diffuse in sequence along the wind direction, forming a serial dust migration path. Dividing these sources into the same area is in line with the actual migration trajectory of dust under the action of wind, and can accurately reflect the regional range of superposition of dust concentration. Dividing the dust migration area in this way can more scientifically reflect the diffusion behavior of dust in the actual environment, and provide strong support for subsequent monitoring and governance. Furthermore, it realizes the division of the dust source area into different dust migration areas, and improves the monitoring efficiency and reliability of the engineering construction dust monitoring system.

[0094] Specifically, the monitoring point control module is used to determine the extension path of the dust migration area, wherein:

[0095] The monitoring point control module calculates the interval distance between the characteristic dust generation source area and the remaining dust generation source areas in the dust migration area, determines the dust generation source area with the maximum interval distance as the starting point of the extension path, and uses the vector direction of the wind direction characterization vector as the extension direction of the extension path.

[0096] Specifically, the distance between the characteristic dust generation source area and the remaining dust generation source areas is the distance between the monitoring points in the characteristic dust generation source area and the monitoring points in the remaining dust generation source areas.

[0097] Specifically, the monitoring point control module is used to determine the dust monitoring points in the dust migration area, wherein:

[0098] The monitoring point control module determines the midpoint of the adjacent monitoring points on the extension path as the dust monitoring point of the dust migration area based on the result of determining that the adjacent monitoring points on the extension path meet the dust monitoring point conditions;

[0099] If the adjacent monitoring points on the extended path do not meet the dust monitoring point conditions, the monitoring point control module does not determine the midpoint of the adjacent monitoring points as the dust monitoring point;

[0100] The dust monitoring point condition is that the absolute value of the difference between the dust particle size monitoring values ​​of adjacent monitoring points exceeds a preset absolute value threshold of the difference.

[0101] Specifically, the monitoring points are arranged at equal intervals on the extended path. The interval distance between adjacent monitoring points on the extended path can be set by technical personnel in this field according to the accuracy requirements of the engineering construction dust monitoring system. The higher the accuracy requirement, the smaller the interval distance. The value range of the interval distance can be [1, 2], and the interval unit is m. Preferably, the interval distance can be 1.5m.

[0102] Specifically, the preset difference absolute value threshold is the product of the difference absolute value reference value and the difference absolute value threshold value factor. The difference absolute value reference value is the average value of the difference absolute values ​​in several historical data. The difference absolute value threshold value factor can be set by technical personnel in this field according to the accuracy requirements of the engineering construction dust monitoring system. The higher the accuracy requirement, the smaller the difference absolute value threshold value factor is set. The value range of the difference absolute value threshold value factor can be [1.1, 1.3]. Preferably, the difference absolute value threshold value factor can be 1.2.

[0103] Specifically, the dust parameter collection frequency of the dust monitoring point is positively correlated with the number of dust generation source areas in the dust migration area and the number and value of dust concentration fluctuations in the dust generation source areas.

[0104] Specifically, the dust parameter collection frequency is quantity weight factor × quantity / quantity reference value + dust weight factor × the number and sum of dust concentration fluctuation values / the number and reference value of dust concentration fluctuation values. The quantity reference value is the average value of the quantity in the historical data, and the number and reference value of the dust concentration fluctuation values ​​are the average value of the number and sum of dust concentration fluctuation values ​​in the historical data. The quantity weight factor and the dust weight factor can be selected by technical personnel in this field based on the degree of influence of the number and the number of dust concentration fluctuation values ​​in the historical data on the calculation results. The quantity weight factor + dust weight factor = 1. Preferably, the quantity weight factor can be 0.5, and the dust weight factor can be 0.5.

[0105] Specifically, the embodiment of the present invention determines the extension path and dust monitoring points of the dust migration area through the monitoring point control module. It can be understood that by determining the extension path and dust monitoring points of the dust migration area through the monitoring point control module, the monitoring layout can be reasonably planned according to the actual situation of dust diffusion, avoiding monitoring blind spots or resource waste caused by fixed monitoring points, so that the monitoring points can accurately cover the key paths and important areas of dust migration, improve the representativeness and comprehensiveness of monitoring, and determine the dust monitoring points based on the dust particle size monitoring values ​​on the extension path. It can accurately locate the key positions in the dust migration process for monitoring. These key positions are of great significance for assessing the risk of dust diffusion and controlling dust pollution. It helps to timely grasp the changes in dust concentration and provide accurate data support for taking effective dust reduction measures. The collection frequency is positively correlated with the number of dust source areas and the number of dust concentration fluctuations, so that the monitoring system can dynamically adjust the monitoring density according to the activity of the dust source and the change of dust concentration. It automatically increases the monitoring frequency in areas with many dust sources and large concentration fluctuations, captures subtle changes in dust concentration in time, and enhances the monitoring system's monitoring capabilities in high-risk areas. It reduces the monitoring frequency in areas with few dust sources and relatively stable concentrations, optimizes the utilization efficiency of monitoring resources, and thus realizes the adaptive adjustment of monitoring points, thereby improving the monitoring efficiency and reliability of the construction dust monitoring system.

[0106] Specifically, it can be understood that the wind direction characterization vector represents the overall wind direction trend of the construction site, which is the main driving force for dust diffusion. Taking the direction of the wind direction characterization vector as the extension direction of the extension path is in line with the diffusion law of dust in the natural environment. Under the action of wind, dust will spread and migrate along the wind direction. Therefore, the path extended along the direction of the wind direction characterization vector can accurately reflect the main direction and trend of dust migration. The distance between the characteristic dust generation source area and other dust generation source areas in the dust migration area is calculated, and the dust generation source area with the maximum distance is used as the starting point of the extension path. The dust generation source area with the maximum distance is the dust generation source area at the most downstream position in the dust migration area. The point can better track the diffusion path of dust. Since the diffusion and sedimentation behaviors of dust of different particle sizes are different during the migration process, when the difference in the particle size monitoring value is large, it indicates that the physical properties of the dust in this area have changed significantly, and it is at the end of the dust diffusion path, which is of great significance for monitoring dust diffusion and assessing dust pollution risks. There are many dust generation source areas in the dust migration area, which indicates that the dust sources are complex, the diffusion paths are diverse, and the number and fluctuation values ​​of dust concentration are large, which indicates that the dust concentration changes dramatically. Increasing the frequency of dust parameter collection at dust monitoring points can capture the changes in dust concentration more timely and accurately, ensure the accuracy and reliability of monitoring data, and provide strong data support for the effective control of dust pollution.

[0107] Thus far, the technical solutions of the present invention have been described in conjunction with the preferred embodiments shown in the accompanying drawings. However, it will be readily understood by those skilled in the art that the scope of protection of the present invention is obviously not limited to these specific embodiments. Without departing from the principles of the present invention, those skilled in the art may make equivalent changes or substitutions to the relevant technical features, and the technical solutions after such changes or substitutions will fall within the scope of protection of the present invention.

[0108] The foregoing description is merely a preferred embodiment of the present invention and is not intended to limit the present invention. Those skilled in the art will readily appreciate that the present invention is susceptible to various modifications and variations. Any modifications, equivalent substitutions, or improvements made within the spirit and principles of the present invention shall be included within the scope of protection of the present invention.

Claims

1. A construction dust monitoring system based on multidimensional data analysis, characterized in that: include: A feature acquisition module, comprising a dust feature acquisition unit for acquiring dust concentration monitoring values ​​and dust particle size monitoring values ​​for a plurality of construction monitoring areas in the construction site, and a wind direction feature acquisition unit for acquiring wind direction sub-vectors for each construction monitoring area; An area screening module, connected to the feature acquisition module, is used to determine the dust concentration fluctuation value based on the dust concentration monitoring value of the construction monitoring area within a preset monitoring period to screen the dust source area; a joint monitoring and analysis module, connected to the feature acquisition module and the region screening module, respectively, for determining a plurality of distribution subvectors based on the location distribution of the dust generation source area, determining whether the dust diffusion has a diffusion superposition feature based on a comparison of the distribution subvectors and the wind direction characterization vector, and determining a characteristic distribution subvector; a dust migration identification module connected to the joint monitoring and analysis module, configured to divide the dust generation source area into different dust migration areas according to the characteristic distribution subvectors based on the determination result having the diffusion superposition feature; a monitoring point control module, connected to the feature acquisition module and the dust migration identification module, respectively, for determining an extension path of the dust migration area based on the dust migration area and the wind direction characterization vector, and determining dust monitoring points in the dust migration area based on dust particle size monitoring values ​​along the extension path; The monitoring point control module calculates the distance between the characteristic dust generation source area and the remaining dust generation source areas in the dust migration area, determines the dust generation source area with the maximum distance as the starting point of the extension path, and uses the vector direction of the wind direction characterization vector as the extension direction of the extension path; Based on the result of determining that the adjacent monitoring points on the extended path meet the dust monitoring point conditions, the midpoint of the adjacent monitoring points is determined as the dust monitoring point of the dust migration area; The dust monitoring point condition is that the absolute value of the difference between the dust particle size monitoring values ​​of adjacent monitoring points exceeds a preset absolute value threshold of the difference; The dust parameter collection frequency of the dust monitoring point is positively correlated with the number of dust generation source areas in the dust migration area and the number and value of dust concentration fluctuations in the dust generation source areas.

2. The construction dust monitoring system based on multidimensional data analysis according to claim 1 is characterized in that: The area screening module is used to determine the dust concentration fluctuation value, wherein, The area screening module obtains the dust concentration monitoring values ​​of the construction monitoring area at several moments within a preset monitoring period, calculates the absolute value of the difference between the dust concentration monitoring value at the previous moment and the dust concentration monitoring value at the adjacent next moment, and determines the absolute value of the difference as the dust concentration fluctuation value at the next moment.

3. The construction dust monitoring system based on multidimensional data analysis according to claim 2 is characterized in that: The area screening module is used to screen the dust source area, wherein: The area screening module screens the construction monitoring area as a dust generation source area based on a determination result that the dust concentration fluctuation value in the construction monitoring area meets the dust generation source condition; The dust generation source condition is that there is a moment when the dust concentration fluctuation value in the construction monitoring area exceeds a preset dust concentration fluctuation value threshold.

4. The construction dust monitoring system based on multidimensional data analysis according to claim 3 is characterized in that: The joint monitoring and analysis module is used to determine the wind direction characterization vector of the construction site, wherein: The joint monitoring and analysis module determines a vector obtained by adding the wind direction sub-vectors of each dust generation source area as a wind direction characterization vector, where the wind direction sub-vector is constructed with wind direction as the vector direction and wind speed as the vector magnitude.

5. The construction dust monitoring system based on multidimensional data analysis according to claim 4 is characterized in that: The joint monitoring and analysis module is used to determine a number of distribution sub-vectors, wherein: The distribution sub-vector is constructed based on the dust monitoring points of any two dust generation source areas.

6. The construction dust monitoring system based on multidimensional data analysis according to claim 5 is characterized in that: The joint monitoring and analysis module is used to determine whether the dust diffusion has the diffusion superposition feature, wherein: The joint monitoring and analysis module determines that the dust diffusion at the construction site has a diffusion superposition characteristic based on a comparison result of the distribution sub-vector and the wind direction characterization vector, and determines the distribution sub-vector as a characteristic distribution sub-vector; The dust diffusion superposition condition is that the vector angle between the distribution sub-vector and the wind direction characterization vector does not exceed a preset angle threshold.

7. The construction dust monitoring system based on multidimensional data analysis according to claim 6 is characterized in that: The dust migration identification module is used to divide the dust generation source area into different dust migration areas, wherein, The dust migration identification module divides the dust generation source area of ​​the vector starting point and the vector end point of each migration trend vector into the same dust migration area. The migration trend vector is a characteristic distribution subvector with the dust monitoring point of the characteristic dust generation source area as the vector starting point. The characteristic dust generation source area is determined according to the wind direction characterization vector.

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