Municipal engineering construction site remote management system

Abstract

The invention relates to the technical field of municipal engineering construction site remote management, and particularly discloses a municipal engineering construction site remote management system. The system comprises an air quality health assessment module, a spray dust suppression equipment adjustment module, an air quality improvement assessment module, a mobile dust suppression equipment working module, a construction site noise monitoring module, a noise reduction effect assessment feedback module and a database. According to the method, the spraying angle and the spraying flow of the spraying dust-settling equipment are dynamically adjusted by combining the wind speed change of the construction site, and meanwhile, the working priority of the mobile dust-settling equipment is distributed according to the air pollution diffusion condition of the construction site and the possibly influenced resident living condition; the dust falling effect of the spraying and dust falling equipment is improved, flying dust can be accurately intercepted and fully adsorbed and settled, residents are prevented from being exposed in an overproof flying dust environment for a long time, and it is practically guaranteed that the air quality of a construction site and surrounding areas reaches the standard.

Description

Technical Field

[0001] The present invention relates to the technical field of remote management of municipal engineering construction sites, and more specifically, to a remote management system for municipal engineering construction sites. Background Art

[0002] With the acceleration of the urbanization process, the scale of municipal engineering construction has been continuously expanding. During the construction process, dust reduction and noise problems not only affect the surrounding environment and the lives of residents, but also pose threats to the health and safety of construction workers. Traditional construction management methods often rely on on-site manual supervision and management, and cannot comprehensively monitor and handle dust reduction and noise in a timely and effective manner. Therefore, a system that can monitor dust reduction and noise in real time and perform remote management is needed.

[0003] There are also the following problems in the prior art: 1. When adjusting the operating parameters of the spray dust reduction equipment at the construction site, the spray angle and spray flow rate of the spray dust reduction equipment are not dynamically adjusted in combination with the wind speed change at the construction site, reducing the dust reduction effect of the spray dust reduction equipment, making it impossible to accurately intercept dust and difficult to fully adsorb and settle dust, and ultimately unable to effectively ensure that the air quality of the construction site and its surrounding areas meets the standards.

[0004] 2. The working priorities of the mobile dust reduction equipment are not assigned according to the self-air pollution diffusion situation at the construction site and the possible impact on the living conditions of residents. The air pollution diffusion differences in different areas within the construction site are not fully considered, making it impossible to accurately identify the high-incidence areas and diffusion paths of dust, so that the mobile dust reduction equipment cannot timely focus on preventing and controlling the pollution source and key propagation areas. On the other hand, the distribution of surrounding residents is ignored, and the construction sections close to sensitive areas such as residential areas, schools, and hospitals are not included in the priority dust reduction scope, resulting in residents being exposed to excessive dust environments for a long time, which not only endangers public health but also easily causes dissatisfaction among the surrounding people with the construction project, greatly affecting the overall effectiveness and social benefits of the construction. Summary of the Invention

[0005] In view of this, to solve the problems raised in the above background art, a remote management system for municipal engineering construction sites is now proposed.

[0006] The object of the present invention can be achieved by the following technical solutions: The present invention provides a remote management system for municipal engineering construction sites, including: an air quality health assessment module, which is used to record the target municipal engineering construction site as the target construction site, collect the air parameter values in each key area of the target construction site, evaluate whether the air quality in each key area is healthy, and if it is not healthy, execute the spray dust reduction equipment adjustment module, and if it is healthy, execute the construction site noise monitoring module.

[0007] The spray dust suppression equipment adjustment module is used to mark the key areas with unhealthy air quality as target areas, extract the wind speeds corresponding to each target area, start the spray dust suppression equipment in each target area, and remotely adjust the operating parameters of the spray dust suppression equipment in each target area.

[0008] The air quality improvement evaluation module is used to collect the values of various air parameters in each target area during the operation of the spray dust suppression equipment, evaluate whether the air quality in each target area has been improved. If not, the mobile dust suppression equipment working module is executed; if it has been improved, the construction site noise monitoring module is executed.

[0009] The mobile dust suppression equipment working module is used to mark the target areas with unimproved air quality as key pollution areas, extract the locations of each key pollution area, start the mobile dust suppression equipment at the target construction site, collect the basic information corresponding to each key pollution area, and confirm the working priority of the mobile dust suppression equipment.

[0010] The construction site noise monitoring module is used to collect the noise intensities corresponding to each monitoring point in each construction time period at the target construction site, evaluate whether there are problems with excessive noise in each construction time period. If so, mark the construction time periods with excessive noise problems as noise time periods, and promptly notify the on-site construction personnel to take noise reduction measures for each noise time period.

[0011] The noise reduction effect evaluation and feedback module is used to, after the noise reduction measures for each noise time period are taken, re-collect the noise intensities corresponding to each monitoring point in each noise time period, evaluate whether the noise reduction effect in each noise time period meets the standard. If not, feedback is made.

[0012] The database is used to store the standard values corresponding to various air parameters of each key area at the construction site, store the initial spray flow rate required for setting the deviation of unit air quality health, store the spray angle and spray flow rate required to be increased corresponding to unit wind speed, and store the noise intensity thresholds corresponding to each construction time period.

[0013] Compared with the prior art, the embodiments of the present invention at least have the following advantages or beneficial effects: (1) When adjusting the operating parameters of the spray dust suppression equipment at the construction site, the present invention dynamically adjusts the spray angle and spray flow rate of the spray dust suppression equipment in combination with the wind speed change at the construction site, improves the dust suppression effect of the spray dust suppression equipment, helps to accurately intercept dust and fully adsorb and settle dust, and finally can effectively ensure that the air quality of the construction site and its surrounding areas meets the standards.

[0014] (2) By allocating the working priorities of the mobile dust suppression equipment according to the self-air pollution diffusion situation at the construction site and the living conditions of the residents that may be affected, fully considering the differences in air pollution diffusion in different areas within the construction site, accurately identifying the high-incidence areas and diffusion paths of dust, the mobile dust suppression equipment can timely focus on preventing and controlling the pollution sources and key transmission areas. On the other hand, the construction sections near sensitive areas such as residential areas, schools, and hospitals are included in the scope of priority dust suppression, avoiding the long-term exposure of residents to excessive dust environment, thus avoiding harm to public health and greatly reducing the impact on the overall construction effectiveness and social benefits. BRIEF DESCRIPTION OF THE DRAWINGS

[0015] In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the following will briefly introduce the drawings required for the description of the embodiments. Obviously, the drawings in the following description are only some embodiments of the present invention. For those of ordinary skill in the art, without creative efforts, other drawings can also be obtained based on these drawings.

[0016] Figure 1 It is a schematic connection diagram of the system module structure of the present invention.

[0017] Figure 2 It is a flowchart for judging whether the air quality is healthy according to the present invention.

[0018] Figure 3 It is a flowchart for judging whether the air quality is improved according to the present invention. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0019] The following will clearly and completely describe the technical solutions in the embodiments of the present invention with reference to the drawings in the embodiments of the present invention. Obviously, the described embodiments are only a part of the embodiments of the present invention, rather than all the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those of ordinary skill in the art without creative efforts belong to the scope of protection of the present invention.

[0020] Please refer to Figure 1 As shown, the present invention provides a remote management system for the construction site of municipal engineering, including: an air quality health assessment module, a spray dust suppression equipment adjustment module, an air quality improvement assessment module, a mobile dust suppression equipment working module, a construction site noise monitoring module, a noise reduction effect assessment feedback module, and a database.

[0021] The spray dust suppression equipment adjustment module and the construction site noise monitoring module are both connected to the air quality health assessment module. The spray dust suppression equipment adjustment module is connected to the air quality improvement assessment module. The air quality improvement assessment module is connected to the mobile dust suppression equipment working module. The air quality improvement assessment module is connected to the construction site noise monitoring module. The construction site noise monitoring module is connected to the noise reduction effect assessment feedback module. The air quality health assessment module, the spray dust suppression equipment adjustment module, and the construction site noise monitoring module are all connected to the database.

[0022] The air quality health assessment module is used to mark the target municipal engineering construction site as the target construction site, collect the air parameter values in each key area of the target construction site, and evaluate whether the air quality in each key area is healthy. If it is not healthy, the spray dust suppression equipment adjustment module is executed. If it is healthy, the construction site noise monitoring module is executed.

[0023] It should be noted that the air parameter values in each key area of the target construction site are collected by the air quality monitoring equipment deployed in each key area.

[0024] In a specific embodiment of the present invention, the key areas include but are not limited to the entrances and exits, material stacking areas, construction operation surfaces, and earth excavation areas of the target construction site. The air parameters include but are not limited to inhalable particulate matter (PM10, PM2.5), and total suspended particulate matter (TSP).

[0025] In a specific embodiment of the present invention, the specific process of evaluating whether the air quality in each key area is healthy is as follows: A1. Denote the air parameter values in each key area as air ij , where i represents the number of the key area, i = 1, 2,..., n, and j represents the number of the air parameter, j = 1, 2,..., m.

[0026] A2. Extract the standard values corresponding to the air parameters in each key area of the construction site from the database and denote them as

[0027] A3. Calculate the air quality health index β of each key area i , where Δair represents the set allowable deviation value of the air parameter, and m represents the number of air parameters.

[0028] Please refer to Figure 2 As shown, A4. Compare the air quality health index of each key area with the set reference air quality health index. If the air quality health index of a certain key area is greater than or equal to the set reference air quality health index, it indicates that the air quality in this key area is healthy. Otherwise, it indicates that the air quality in this key area is unhealthy.

[0029] The spray dust suppression equipment adjustment module is used to mark the key areas with unhealthy air quality as target areas, extract the wind speeds corresponding to each target area, start the spray dust suppression equipment in each target area, and remotely adjust the operating parameters of the spray dust suppression equipment in each target area.

[0030] It should be noted that the wind speeds corresponding to each target area are collected by wind speed sensors.

[0031] In a specific embodiment of the present invention, the operating parameters include the spray angle and the spray flow rate.

[0032] In a specific embodiment of the present invention, the specific process of remotely adjusting the operating parameters of the spray dust suppression equipment in each target area is as follows: B1. Extract the initial spray flow rate required to be set for the unit air quality health deviation from the database and denote it as Q 初 .

[0033] B2. Extract the spray angle and spray flow rate required to be increased corresponding to the unit wind speed from the database and denote them as θ 0 and Q 0 .

[0034] It should be noted that when the wind speed in the target area increases, the ultrasonic wind vane placed in the target area will monitor the current wind direction. If the spray angle of the spray dust suppression equipment is not adjusted, the water mist will be blown to a direction far from the dust source by the wind and cannot effectively contact the dust particles. Therefore, it is necessary to adjust the spray angle of the spray dust suppression equipment in the target area against the current wind direction so that the water mist can intercept the dust actively against the direction of dust diffusion. At the same time, the increase in wind speed will cause the residence time of the water mist in the air to be shortened. Increasing the spray flow rate can release more water mist per unit time, thereby increasing the probability of contact between the water mist and the dust within a limited time and space.

[0035] B3. Denote the wind speed corresponding to each target area as v g , where g represents the number of the target area, g = 1, 2,..., r.

[0036] B4. Extract the air quality health index of each target area and denote it as

[0037] B5. Adjust the spray angle of the spray dust suppression equipment in each target area towards the wind direction by θ 0 *v g , and adjust the spray flow rate of the spray dust suppression equipment in each target area to where β′ represents the air quality health index for setting reference.

[0038] In the embodiments of the present invention, when adjusting the operating parameters of the spray dust suppression equipment at the construction site, the spray angle and spray flow rate of the spray dust suppression equipment are dynamically adjusted in combination with the wind speed change at the construction site, improving the dust suppression effect of the spray dust suppression equipment, helping to accurately intercept dust and fully adsorb and settle dust, and ultimately effectively ensuring that the air quality of the construction site and surrounding areas meets the standards.

[0039] The air quality improvement evaluation module is used to collect the air parameter values of each target area during the operation of the spray dust suppression equipment, evaluate whether the air quality of each target area has been improved. If not, the mobile dust suppression equipment working module is executed; if it has been improved, the construction site noise monitoring module is executed.

[0040] It should be noted that the air parameter values of each target area during the operation of the spray dust suppression equipment are also collected by the air quality monitoring equipment.

[0041] In a specific embodiment of the present invention, the specific process of evaluating whether the air quality of each target area has been improved is as follows: C1. Based on the air parameter values of each target area during the operation of the spray dust suppression equipment, calculate the air quality health index of each target area during the operation of the spray dust suppression equipment in the same way as the calculation method of the air quality health index of each key area.

[0042] C2. Calculate the air quality improvement degree χ of each target area. g , where, Δβ represents the set reference air quality health deviation, and e represents the natural constant.

[0043] Please refer to Figure 3 As shown, C3. Compare the air quality improvement degree of each target area with the set reference air quality improvement degree. If the air quality improvement degree of a certain target area is greater than or equal to the set reference air quality improvement degree, it indicates that the air quality of this target area has been improved; otherwise, it indicates that the air quality of this target area has not been improved.

[0044] The mobile dust suppression equipment working module is used to record the target areas with unimproved air quality as key pollution areas, extract the locations of each key pollution area, start the mobile dust suppression equipment at the target construction site, collect the basic information corresponding to each key pollution area, and confirm the working priority of the mobile dust suppression equipment.

[0045] It should be noted that the locations of each key pollution area are directly extracted from the construction drawings of the target construction site.

[0046] In a specific embodiment of the present invention, the basic information includes the air parameter values corresponding to each monitoring time period within the scope, the number of key residential areas of concern within the scope, and the locations of each key residential area of concern.

[0047] It should be noted that the air parameter values corresponding to each monitoring time period within the scope are also collected by air quality monitoring equipment, and the number of key residential areas of concern within the scope and the locations of each key residential area of concern are both extracted from the geographical distribution map within the scope.

[0048] In a specific embodiment of the present invention, the key residential areas of concern include but are not limited to schools, parks, and residential buildings.

[0049] In a specific embodiment of the present invention, the specific process of confirming the working priority of the mobile dust suppression equipment is as follows: D1. Extract the air parameter values corresponding to each monitoring time period within the scope, the number of key residential areas of concern within the scope, and the locations of each key residential area of concern from the basic information corresponding to each key pollution area, and calculate the air pollution diffusion degree of each key pollution area accordingly and the human exposure risk index δ p , where p represents the number of the key pollution area, p = 1, 2,..., q.

[0050] It should be noted that the specific process of calculating the air pollution diffusion degree of each key pollution area is as follows: Based on the air parameter values corresponding to each monitoring time period within the scope corresponding to each key pollution area, calculate the air quality health index corresponding to each monitoring time period within the scope corresponding to each key pollution area in the same way as the calculation method of the air quality health index of each key area.

[0051] Taking the monitoring time period as the abscissa and the air quality health index as the ordinate, construct the air quality deviation curve within the scope corresponding to each key pollution area, and locate the slope value from the curve as the air quality decline rate within the scope corresponding to each key pollution area, and mark it as K p .

[0052] Calculate the air pollution diffusion degree of each key pollution area where K' represents the set reference air quality decline rate.

[0053] In a specific embodiment of the present invention, the specific process of calculating the human exposure risk index of each key pollution area is as follows: E1. Denote the number of key residential areas of concern within the scope corresponding to each key pollution area as ε p .

[0054] E2. Based on the locations of each key pollution area and each key residential area of concern, obtain the distances between each key pollution area and its corresponding key residential areas of concern, and extract the minimum distance therefrom, denoted as L. p .

[0055] E3. Calculate the human exposure risk index δ of each key pollution area p , where ε′ and L′ respectively represent the number of key residential areas of concern and the distance set as a reference.

[0056] D2. Calculate the dustfall urgency θ corresponding to each key pollution area p , where a 1 and a 2 respectively represent the set air pollution diffusion degree and the weight ratio of the dustfall urgency assessment corresponding to the human exposure risk index, and a 1 +a 2 = 1.

[0057] In a specific embodiment of the present invention, the set value of a 1 is 0.5, and the set value of a 2 is 0.5. When calculating the dustfall urgency corresponding to each key pollution area, both the air pollution diffusion degree and the human exposure risk index are crucial and it is difficult to simply determine which one is more important. The air pollution diffusion degree reflects the spread range and speed of pollutants in the air. If the diffusion degree is high, it may lead to a larger range of pollution, affecting environmental quality and ecological balance. The human exposure risk index is directly related to the health of personnel. If the index is high, the threat to human health is great. These two are interrelated and indispensable in the dustfall urgency assessment. It is impossible to simply consider that a certain factor is more important, and it is necessary to comprehensively consider their impacts on the dustfall urgency.

[0058] D3. Sort the dustfall urgencies corresponding to each key pollution area from large to small, and use the key pollution areas corresponding to the sorted dustfall urgencies as the working priority areas of the mobile dustfall equipment.

[0059] In the embodiment of the present invention, by allocating the working priority of the mobile dustfall equipment according to the self-air pollution diffusion situation at the construction site and the possible affected residential situation, fully considering the air pollution diffusion differences in different areas inside the construction site, accurately identifying the high-incidence areas and diffusion paths of dust, the mobile dustfall equipment can timely conduct key prevention and control on the pollution source and key propagation areas. On the other hand, including the construction sections near sensitive areas such as residential areas, schools, and hospitals into the priority dustfall scope can avoid residents being exposed to excessive dust environment for a long time, thus avoiding harm to public health and greatly reducing the impact on the overall construction effect and social benefits.

[0060] The on-site construction noise monitoring module is used to collect the noise intensity corresponding to each monitoring point at the target construction site during each construction time period, evaluate whether there is a problem of excessive noise during each construction time period. If so, mark the construction time period with excessive noise as the noise time period, and promptly notify the on-site construction personnel to take noise reduction measures for each noise time period.

[0061] It should be noted that the noise intensity corresponding to each monitoring point at the target construction site during each construction time period is collected by fixed noise monitors installed at each monitoring point.

[0062] In a specific embodiment of the present invention, the specific process of evaluating whether there is a problem of excessive noise during each construction time period is as follows: F1. Compare the noise intensity corresponding to each monitoring point at the target construction site during each construction time period with the noise intensity threshold corresponding to each construction time period stored in the database. If the noise intensity corresponding to a certain monitoring point in a certain construction time period is greater than the noise intensity threshold corresponding to this construction time period, mark this monitoring point in this construction time period as a monitoring point with excessive noise, and count the number of monitoring points with excessive noise in each construction time period, denoted as τ x , where x represents the number of the construction time period, x = 1, 2,..., y.

[0063] F2. Calculate the noise excessive index ω of each construction time period x , where τ′ represents the set permitted number of monitoring points with excessive noise.

[0064] F3. Compare the noise excessive index of each construction time period with the set reference noise excessive index. If the noise excessive index of a certain construction time period is greater than the set reference noise excessive index, it indicates that there is a problem of excessive noise in this construction time period; otherwise, it indicates that there is no problem of excessive noise in this construction time period.

[0065] The noise reduction effect evaluation and feedback module is used to, after the noise reduction measures for each noise time period are taken, re-collect the noise intensity corresponding to each monitoring point in each noise time period, evaluate whether the noise reduction effect of each noise time period meets the standard, and if not, give feedback.

[0066] It should be noted that the noise intensity corresponding to each monitoring point in each noise time period is also collected by fixed noise monitors installed at each monitoring point.

[0067] In a specific embodiment of the present invention, the specific process for evaluating whether the noise reduction effect of each noise time period meets the standard is as follows: Based on the noise intensity corresponding to each monitoring point in each noise time period, calculate the noise exceedance index of each noise time period in the same way as the calculation method of the noise exceedance index for each construction time period, and compare it with the set reference noise exceedance index. If the noise exceedance index of a certain noise time period is less than or equal to the set reference noise exceedance index, it indicates that the noise reduction effect of this noise time period meets the standard; otherwise, it indicates that the noise reduction effect of this noise time period does not meet the standard.

[0068] The database is used to store the standard values corresponding to each air parameter in each key area of the construction site, store the initial spray flow rate required for setting the health deviation of unit air quality, store the spray angle and spray flow rate required to be increased corresponding to unit wind speed, and store the noise intensity threshold corresponding to each construction time period. The data sources in the database of this embodiment are shown in Table 1.

[0069] Table 1 Data Sources in the Database

[0070]

[0071] The above content is only an example and illustration of the concept of the present invention. Those skilled in the art of the present technology can make various modifications, supplements, or use similar methods to replace the specific embodiments described, as long as they do not deviate from the concept of the invention or exceed the scope defined by the present invention, they should fall within the protection scope of the present invention.

Claims

1. A remote management system for municipal engineering construction sites, characterized in that: include: The air quality health assessment module is used to record the target municipal engineering construction site as the target construction site, collect the air parameter values ​​in each key area of ​​the target construction site, and evaluate whether the air quality of each key area is healthy. If it is unhealthy, the spray dust suppression equipment adjustment module is executed; if it is healthy, the construction site noise monitoring module is executed; The spray dust suppression equipment adjustment module is used to record the key areas with unhealthy air quality as target areas, extract the wind speed corresponding to each target area, start the spray dust suppression equipment in each target area, and remotely adjust the operating parameters of the spray dust suppression equipment in each target area; The air quality improvement assessment module is used to collect the air parameter values ​​of each target area during the operation of the spray dust reduction equipment, and evaluate whether the air quality of each target area has been improved. If not, the mobile dust reduction equipment working module is executed; if improved, the construction site noise monitoring module is executed; The mobile dust reduction equipment working module is used to record the target areas where the air quality has not been improved as key pollution areas, extract the locations of each key pollution area, start the mobile dust reduction equipment at the target construction site, collect the basic information corresponding to each key pollution area, and confirm the working priority of the mobile dust reduction equipment; The construction site noise monitoring module is used to collect the noise intensity corresponding to each monitoring point in each construction time period of the target construction site, and evaluate whether there is a problem of excessive noise in each construction time period. If so, the construction time period with excessive noise will be recorded as a noise time period, and the on-site construction personnel will be notified in time to take noise reduction measures for each noise time period; The noise reduction effect evaluation and feedback module is used to re-collect the noise intensity corresponding to each monitoring point in each noise time period after the noise reduction measures in each noise time period are taken, and evaluate whether the noise reduction effect of each noise time period meets the standard. If it does not meet the standard, feedback is provided; The database is used to store the standard values ​​of various air parameters in each key area of ​​the construction site, store the initial spray flow rate required to set the unit air quality health deviation, store the required increase in spray angle and spray flow rate corresponding to the unit wind speed, and store the noise intensity threshold value corresponding to each construction time period.

2. A municipal engineering construction site remote management system according to claim 1, characterized in that: The specific process of evaluating whether the air quality in each key area is healthy is as follows: A1. Record the air parameter value in each key area as air ij , where i represents the number of the key area, i=1,2,...,n, and j represents the number of the air parameter, j=1,2,...,m; A2. Extract the standard values ​​of each air parameter in each key area of ​​the construction site from the database and record them as A3. Calculate the air quality health index β for each key area i , Wherein, Δair represents the set permissible air parameter deviation value, and m represents the number of air parameters; A4. Compare the air quality health index of each key area with the set reference air quality health index. If the air quality health index of a key area is greater than or equal to the set reference air quality health index, it indicates that the air quality of the key area is healthy. Otherwise, it indicates that the air quality of the key area is unhealthy.

3. A municipal engineering construction site remote management system according to claim 2, characterized in that: The operating parameters include spray angle and spray flow rate.

4. A municipal engineering construction site remote management system according to claim 3, characterized in that: The specific process of remotely adjusting the operating parameters of the spray dust suppression equipment in each target area is as follows: B1. Extract the initial spray flow rate required for the unit air quality health deviation from the database and record it as Q 初 ; B2. Extract the required increase in spray angle and spray flow rate corresponding to unit wind speed from the database and record them as θ0 and Q0 respectively; B3. The wind speed corresponding to each target area is recorded as v g , where g represents the number of the target area, g = 1, 2, ..., r; B4. Extract the air quality health index of each target area and record it as B5. Adjust the spray angle of the spray dust suppression equipment in each target area to the wind direction θ0*v g , adjust the spray flow rate of the spray dust suppression equipment in each target area to Among them, β′ represents the reference air quality health index.

5. A municipal engineering construction site remote management system according to claim 4, characterized in that: The specific process of evaluating whether the air quality of each target area has been improved is as follows: C1. Based on the air parameter values ​​of each target area during the operation of the spray dust suppression equipment, the air quality health index of each target area during the operation of the spray dust suppression equipment is calculated in the same way as the air quality health index of each key area. C2. Calculate the air quality improvement of each target area χ g , Among them, Δβ represents the healthy deviation of air quality of the set reference, and e represents the natural constant; C3. Compare the air quality improvement degree of each target area with the set reference air quality improvement degree. If the air quality improvement degree of a target area is greater than or equal to the set reference air quality improvement degree, it indicates that the air quality of the target area has improved. Otherwise, it indicates that the air quality of the target area has not improved.

6. A municipal engineering construction site remote management system according to claim 1, characterized in that: The basic information includes the values ​​of each air parameter within the scope corresponding to each monitoring time period, the number of key residential areas within the scope and the location of each key residential area.

7. A municipal engineering construction site remote management system according to claim 6, characterized in that: The specific process of confirming the working priority of the mobile dust suppression equipment is as follows: D1. Extract the corresponding air parameter values, the number of key residential areas and the location of each key residential area within the corresponding area from the basic information of each key pollution area, and calculate the air pollution diffusion degree of each key pollution area accordingly. and human exposure risk index δ p , where p represents the number of the key pollution area, p = 1, 2, ..., q; D2. Calculate the dust reduction urgency corresponding to each key pollution area Among them, a1 and a2 represent the weights of the dust fall urgency assessment corresponding to the set air pollution diffusion and human exposure risk index, respectively, a1+a2=1; D3. Sort the dust reduction urgency corresponding to each key pollution area from large to small, and use the key pollution areas corresponding to the sorted dust reduction urgency as the working priority areas of the mobile dust reduction equipment.

8. A municipal engineering construction site remote management system according to claim 7, characterized in that: The specific process of calculating the human exposure risk index of each key pollution area is as follows: E1. The number of key residential areas within the corresponding scope of each key pollution area is recorded as ε p ; E2. Based on the location of each key pollution area and the location of each key residential point, the distance between each key pollution area and its corresponding key residential point is obtained, and the minimum distance is extracted from them, recorded as L p ; E3. Calculate the human exposure risk index δ for each key pollution area p , Among them, ε′ and L′ represent the number and distance of key residential areas of reference, respectively.

9. A municipal engineering construction site remote management system according to claim 1, characterized in that: The specific process of evaluating whether there is excessive noise in each construction period is as follows: F1. Compare the noise intensity corresponding to each monitoring point in each construction time period of the target construction site with the noise intensity threshold corresponding to each construction time period stored in the database. If the noise intensity corresponding to a monitoring point in a certain construction time period is greater than the noise intensity threshold corresponding to the construction time period, then the monitoring point in the construction time period is recorded as a noise exceeding standard monitoring point. The number of noise exceeding standard monitoring points in each construction time period is counted and recorded as τ. x , where x represents the number of the construction time period, x=1,2,...,y; F2. Calculate the noise excess index ω for each construction period x , Among them, τ′ represents the number of noise exceeding standard monitoring points set for permission; F3. Compare the noise excess index of each construction period with the set reference noise excess index. If the noise excess index of a construction period is greater than the set reference noise excess index, it indicates that there is a noise excess problem in the construction period. Otherwise, it indicates that there is no noise excess problem in the construction period.

10. A municipal engineering construction site remote management system according to claim 9, characterized in that: The specific process of evaluating whether the noise reduction effect of each noise time period meets the standard is: based on the noise intensity corresponding to each monitoring point in each noise time period, the noise excess index of each noise time period is calculated in the same way as the noise excess index of each construction time period, and compared with the set reference noise excess index; if the noise excess index of a noise time period is less than or equal to the set reference noise excess index, it indicates that the noise reduction effect of the noise time period meets the standard; otherwise, it indicates that the noise reduction effect of the noise time period does not meet the standard.

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