An environmental steward pollution source prediction system for air quality monitoring

Abstract

The present invention discloses an environmental steward pollution source prediction system for air quality monitoring, which relates to the field of air monitoring technology. The system comprises a construction module for defining the monitoring range of air quality and obtaining spatial information within the monitoring range. A division module is connected to the construction module and is used to select multiple monitoring points within the monitoring range and divide the corresponding influence spaces. An association module is connected to the division module and is used to set multiple ant points between the monitoring points and the corresponding influence spaces. A setting module is connected to the association module and is used to set monitoring ports in the corresponding association network. A prediction module is connected to the setting module and is used to collect air information and corresponding meteorological information in real time based on the association network. The present invention can be used to better monitor air quality and better predict pollution sources in the future. It can accurately predict air information in accordance with the actual environment and has good information collection and self-adjustment functions.

Description

Technical Field

[0001] The present invention relates to the technical field of air monitoring, and in particular to an environmental steward pollution source prediction system for air quality monitoring. Background Art

[0002] With the improvement of living standards and the enhancement of environmental awareness, people are paying more and more attention to the air quality of their living environment. At present, due to the interference of environmental problems in the collection of air information, it is difficult to adapt the collection of air information to the new collection range and adjust the collection position of air. It is difficult to accurately and reasonably collect air information, and it is impossible to guarantee the subsequent prediction of the pollution source of air information. Summary of the Invention

[0003] The purpose of the present invention is to provide an environmental steward pollution source prediction system for air quality monitoring to address the shortcomings of the background technology.

[0004] To achieve the above objectives, the present invention provides the following technical solution: an environmental steward pollution source prediction system for air quality monitoring, comprising:

[0005] A construction module is used to define the air quality monitoring range, obtain spatial information within the monitoring range, and build a monitoring model based on the monitoring range and spatial information;

[0006] The division module is connected to the construction module and is used to select multiple monitoring points within the monitoring range and divide the corresponding influence spaces, and construct the monitoring points and the corresponding influence spaces into the monitoring model;

[0007] An association module, connected to the partitioning module, is used to set multiple ant points in the monitoring point and the corresponding influence space, and associate the multiple ant points based on a single monitoring point and the corresponding influence space to obtain an association network;

[0008] A setting module, connected to the association module, is used to set a monitoring port corresponding to the association network and establish a connection relationship between the monitoring port and the upper space model;

[0009] The prediction module is connected to the setting module and is used to collect air information and corresponding meteorological information in real time based on the association network, and predict pollution trend information based on the air information and the corresponding meteorological information.

[0010] In a preferred embodiment, the building blocks include:

[0011] An acquisition unit is used to define a monitoring range for air quality monitoring and obtain spatial information within the monitoring range, wherein the spatial information includes geographical environment information and building information;

[0012] The construction unit is used to perform three-dimensional construction based on the monitoring range and spatial information to obtain a monitoring model.

[0013] In a preferred embodiment, the partitioning module includes:

[0014] An information acquisition unit is used to acquire a plurality of impact information within the monitoring range, wherein the impact information includes an impacted item and an impacted location, and corresponding monitoring points are set for each of the plurality of impact information;

[0015] A binding unit, configured to divide the corresponding impact space based on the corresponding monitoring points of the impact information and perform information binding;

[0016] The information construction unit is used to construct the monitoring points and the corresponding impact spaces into the monitoring model.

[0017] In a preferred embodiment, the association module includes:

[0018] A setting unit is used to set an ant point corresponding to the monitoring point, set multiple ant points in the influence space corresponding to the monitoring point, and set identity information of the corresponding ant point as the ant point position;

[0019] The association unit is used to connect a single monitoring point with the corresponding ant points in the influence space based on the identity information to obtain an association network.

[0020] In a preferred embodiment, the setting unit includes:

[0021] An information construction unit, used to set ant points at monitoring point locations and construct them into the monitoring model;

[0022] The spatial planning unit is used to divide the affected space into regions with the monitoring point as the starting point, obtain multiple monitoring intervals, set corresponding spiral densities for the multiple monitoring intervals, and draw a spiral line on the affected space with the monitoring point as the starting point according to the spiral density corresponding to the monitoring interval to obtain a spiral setting line;

[0023] a copying unit, configured to copy the spiral setting line to obtain a plurality of setting lines, encode the plurality of setting lines to obtain first identity information, and scale the plurality of setting lines respectively and place them in an influence space to obtain a monitoring line;

[0024] The selection unit is used to select multiple points on the monitoring line as ant points, encode the corresponding ant points to obtain second identity information, and combine the second identity information of the ant points with the first identity information of the set line to obtain the ant point position.

[0025] In a preferred embodiment, the setting module includes:

[0026] An association unit, configured to set corresponding monitoring ports for corresponding association networks, and associate multiple monitoring ports as a lower-layer network;

[0027] The port connection unit is used to construct an upper-layer space model based on the lower-layer network and establish a connection relationship between the monitoring port and the upper-layer space model.

[0028] In a preferred embodiment, the port connection unit includes:

[0029] A connection setting unit, configured to set connection points at positions corresponding to monitoring ports in the monitoring model to obtain an upper space model;

[0030] The construction unit is used to establish connection channels between multiple connection points and corresponding monitoring ports, set associated verification points on multiple connection channels, and obtain the connection relationship between the monitoring ports and the upper space model.

[0031] In a preferred embodiment, the prediction module includes:

[0032] an adjustment unit configured to collect corresponding meteorological information in real time based on the associated network, wherein the meteorological information includes wind direction and wind speed, perform adjustments based on the meteorological information and the influence space of the monitoring point, adjust the corresponding monitoring line based on the adjusted influence space, and obtain ant points at different positions based on the adjusted monitoring line;

[0033] An information collection unit is used to collect air information based on the ant points on the adjusted monitoring line, package the correlation structure information between multiple monitoring ports to obtain verification information, and bind the verification information with the air information for transmission through the connection channel;

[0034] A transmission unit, configured to verify the verification information and the associated verification point when transmitting the verification information and the air information to the location of the associated verification point based on the connection channel. If the verification information is consistent with the information of the associated verification point, it indicates that the transmission status is normal and the verification information is transmitted to the connection point of the upper space model corresponding to the monitoring port.

[0035] a judgment unit, configured to set corresponding standard air quality information for each monitoring interval, compare the air information collected by the ant point with the standard air quality information based on the monitoring interval, and regard air information exceeding the standard air quality information as abnormal information;

[0036] The prediction unit is used to predict pollution trend information based on meteorological information and abnormal information, wherein the pollution trend information is the pollution range involved in the abnormal information and the polluted air information corresponding to the pollution range.

[0037] In the above technical solution, the technical effects and advantages provided by the present invention are:

[0038] The ant points arranged according to the spiral of the present invention can better collect air quality in accordance with the air diffusion characteristics, can be used for better subsequent monitoring of air quality, better prediction of pollution sources, can make an accurate prediction of air information in line with the actual environment, and have better information collection and self-adjustment functions. BRIEF DESCRIPTION OF THE DRAWINGS

[0039] In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the following briefly introduces the drawings required for use in the embodiments. Obviously, the drawings described below are only some embodiments described in the present invention. For ordinary technicians in this field, other drawings can also be obtained based on these drawings.

[0040] Figure 1 This is a system block diagram of the present invention. DETAILED DESCRIPTION

[0041] To make the objectives, technical solutions, and advantages of the embodiments of the present invention more clear, the technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the accompanying drawings of the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. All other embodiments obtained by ordinary technicians in this field based on the embodiments of the present invention without making any creative efforts shall fall within the scope of protection of the present invention.

[0042] Example 1, please refer to Figure 1 As shown, the environmental steward pollution source prediction system for air quality monitoring described in this embodiment includes:

[0043] A construction module is used to define the air quality monitoring range, obtain spatial information within the monitoring range, and build a monitoring model based on the monitoring range and spatial information;

[0044] The division module is connected to the construction module and is used to select multiple monitoring points within the monitoring range and divide the corresponding influence spaces, and construct the monitoring points and the corresponding influence spaces into the monitoring model;

[0045] An association module, connected to the partitioning module, is used to set multiple ant points in the monitoring point and the corresponding influence space, and associate the multiple ant points based on a single monitoring point and the corresponding influence space to obtain an association network;

[0046] A setting module, connected to the association module, is used to set a monitoring port corresponding to the association network and establish a connection relationship between the monitoring port and the upper space model;

[0047] A prediction module, connected to the setting module, is used to collect air information and corresponding meteorological information in real time based on the correlation network, and predict pollution trend information based on the air information and the corresponding meteorological information;

[0048] At present, due to the interference of environmental problems, it is difficult to adapt the collection of air information to the new collection range and adjust the air collection position. It is difficult to accurately and reasonably collect air information, and it is impossible to guarantee the subsequent prediction of the pollution source of air information. However, the ant points set according to the spiral in this application can better meet the air diffusion characteristics to collect air quality, can be used for better monitoring of air quality in the future, better prediction of pollution sources, and can make an accurate prediction of air information in line with the actual environment, with better information collection and self-adjustment functions.

[0049] In one embodiment, the building blocks include:

[0050] An acquisition unit is used to define a monitoring range for air quality monitoring and obtain spatial information within the monitoring range, wherein the spatial information includes geographical environment information and building information;

[0051] A construction unit is used to perform three-dimensional construction based on the monitoring range and spatial information to obtain a monitoring model;

[0052] It should be noted that when conducting air quality monitoring, it is necessary to determine the monitoring range for air quality monitoring. Then, in order to ensure the accuracy and comprehensiveness of the subsequent model construction, it is necessary to obtain spatial information within the monitoring range. Spatial information includes geographic environment information and building information. Geographic environment information includes terrain shape and size, and building information includes building shape, location and size. Then, a three-dimensional construction is performed based on the monitoring range and spatial information to obtain a monitoring model, which can facilitate subsequent monitoring of air quality and understanding of its direction, and facilitate subsequent development prediction of air pollution sources.

[0053] In one embodiment, the partitioning module includes:

[0054] An information acquisition unit is used to acquire a plurality of impact information within the monitoring range, wherein the impact information includes an impacted item and an impacted location, and corresponding monitoring points are set for each of the plurality of impact information;

[0055] A binding unit, configured to divide the corresponding impact space based on the corresponding monitoring points of the impact information and perform information binding;

[0056] An information construction unit, used to construct monitoring points and corresponding impact spaces into a monitoring model;

[0057] It should be noted that the impact items and impact locations within the monitoring range are obtained as impact information, wherein the impact items are industrial projects that emit harmful gases. There are usually multiple impact items within the monitoring range. For example, smoke, sulfur oxides, nitrogen oxides, organic compounds, halides, carbon compounds, etc. are common pollutants in industrial production. The impact location here is the location where the harmful gas is generated. Then, the monitoring point is set according to the corresponding impact information. The monitoring point is set at the industrial location where the harmful gas is generated. Then, the impact space is divided and bound according to the monitoring point corresponding to the impact information. The monitoring point here is equivalent to the point where the source of the harmful gas is generated. The impact space is the space affected by the harmful gas generated by the monitoring point. For example, when harmful gas is generated at the monitoring point, it will be diluted to the point where it does not affect the air quality by diffusion outside the space of T cubic meters. It has a good analytical effect. The impact space here also requires the corresponding actual meteorological information to make actual changes;

[0058] In one embodiment, the association module includes:

[0059] A setting unit is used to set an ant point corresponding to the monitoring point, set multiple ant points in the influence space corresponding to the monitoring point, and set identity information of the corresponding ant point as the ant point position;

[0060] An association unit, configured to connect a single monitoring point with an ant point in the corresponding influence space based on identity information to obtain an association network;

[0061] It should be noted that an ant point is set at the monitoring point, and multiple ant points are set in the influence space corresponding to the monitoring point. The ant point here serves as an air quality monitoring end, and then identity information is set for the corresponding ant point, which is equivalent to each ant point having an identity. At a certain spatial position, the monitoring point and the corresponding influence space are in a binding relationship. The monitoring points with a binding relationship are connected to the corresponding ant points in the corresponding influence space to obtain an interconnected association network, which can be used to monitor the pollution source at the monitoring point location and predict the subsequent pollution situation of the pollution source at the same time. It has a good data collection effect and greatly improves the comprehensiveness of data collection.

[0062] In one embodiment, the setting unit includes:

[0063] An information construction unit, used to set ant points at monitoring point locations and construct them into the monitoring model;

[0064] The spatial planning unit is used to divide the affected space into regions with the monitoring point as the starting point, obtain multiple monitoring intervals, set corresponding spiral densities for the multiple monitoring intervals, and draw a spiral line on the affected space with the monitoring point as the starting point according to the spiral density corresponding to the monitoring interval to obtain a spiral setting line;

[0065] a copying unit, configured to copy the spiral setting line to obtain a plurality of setting lines, encode the plurality of setting lines to obtain first identity information, and scale the plurality of setting lines respectively and place them in an influence space to obtain a monitoring line;

[0066] A selection unit is used to select multiple points on the monitoring line as ant points, encode the corresponding ant points to obtain second identity information, and combine the second identity information of the ant points with the first identity information of the set line to obtain the ant point position;

[0067] It should be noted that the monitoring point as the location where polluted air is generated must be configured with a corresponding ant point and built into the monitoring model. Since the emission of gas through the chimney is a diffusion situation from a small range to a large range in any direction under the influence of meteorology, the monitoring point is used as the starting point to divide the area in the corresponding influence space, and multiple monitoring intervals are obtained. Corresponding spiral densities are set for multiple monitoring intervals. The monitoring point is used as the starting point to draw a spiral line on the influence space according to the spiral density corresponding to the monitoring interval to obtain a spiral setting line. The spiral line here is conical. The spiral density monitoring here is based on the continuous expansion of diffusion, and then the spiral is The set line is copied to obtain multiple set lines, and the multiple set lines are encoded to obtain the first identity information. The multiple set lines are scaled and placed in the influence space to obtain the monitoring line. Here, the influence space is comprehensively involved through multiple set lines for subsequent involvement of ant points. Multiple points on the monitoring line are selected as ant points, and the corresponding ant points are encoded to obtain the second identity information. The second identity information of the ant point is combined with the first identity information of the set line to obtain the ant point position. The ant points set according to the spiral can better meet the air diffusion characteristics for air quality collection, which can be used for better subsequent monitoring of air quality and better prediction of pollution sources.

[0068] In one embodiment, the setting module includes:

[0069] An association unit, configured to set corresponding monitoring ports for corresponding association networks, and associate multiple monitoring ports as a lower-layer network;

[0070] A port connection unit, configured to construct an upper-layer space model based on the lower-layer network and establish a connection relationship between the monitoring port and the upper-layer space model;

[0071] It should be noted that the corresponding monitoring port is set for the corresponding associated network. The monitoring port here is the information of all ant points in the collective associated network. Then, multiple monitoring ports are associated with each other as the lower network. Based on the lower network, the monitoring port is connected to the upper space model for communication, which has a better monitoring effect.

[0072] In one embodiment, the port connection unit includes:

[0073] A connection setting unit, configured to set connection points at positions corresponding to monitoring ports in the monitoring model to obtain an upper space model;

[0074] A construction unit is used to establish connection channels between multiple connection points and corresponding monitoring ports, set associated verification points on the multiple connection channels, and obtain the connection relationship between the monitoring ports and the upper space model;

[0075] It should be noted that a connection point is set at the corresponding position of the monitoring port in the monitoring model. The connection point serves as a communication port, and the monitoring model with the connection point set is used as the upper space model. For example, the air quality within the monitoring range that needs to be monitored is used as an actual monitoring information. The upper space model is located in a virtual model of the actual monitoring information and is used to receive the information collected by the ant point. Then, according to the connection between the connection point and the monitoring port, the air information collected by the subsequent ant point is transmitted to the upper space model for display. Then, a connection channel is established between multiple connection points and the corresponding monitoring ports, and associated verification points are set on multiple connection channels to obtain a connection relationship between the monitoring port and the upper space model. The associated verification point can be used for subsequent verification of a transmission port of the information, which can ensure the accuracy of subsequent pollution source prediction and has good prediction ability. The associated verification point here is the relationship between the monitoring ports. For example, multiple monitoring ports are connected in pairs, and the connection relationship will be established during the transmission process.

[0076] In one embodiment, the prediction module includes:

[0077] an adjustment unit configured to collect corresponding meteorological information in real time based on the associated network, wherein the meteorological information includes wind direction and wind speed, perform adjustments based on the meteorological information and the influence space of the monitoring point, adjust the corresponding monitoring line based on the adjusted influence space, and obtain ant points at different positions based on the adjusted monitoring line;

[0078] An information collection unit is used to collect air information based on the ant points on the adjusted monitoring line, package the correlation structure information between multiple monitoring ports to obtain verification information, and bind the verification information with the air information for transmission through the connection channel;

[0079] A transmission unit, configured to verify the verification information and the associated verification point when transmitting the verification information and the air information to the location of the associated verification point based on the connection channel. If the verification information is consistent with the information of the associated verification point, it indicates that the transmission status is normal and the verification information is transmitted to the connection point of the upper space model corresponding to the monitoring port.

[0080] a judgment unit, configured to set corresponding standard air quality information for each monitoring interval, compare the air information collected by the ant point with the standard air quality information based on the monitoring interval, and regard air information exceeding the standard air quality information as abnormal information;

[0081] a prediction unit, configured to predict pollution trend information based on meteorological information and abnormal information, wherein the pollution trend information includes a pollution range involved in the abnormal information and polluted air information corresponding to the pollution range;

[0082] It should be noted that in the actual monitoring process, changes in meteorological information will affect the influence space of the monitoring point. For example, when the wind speed is high, the scope of the polluted air will be wider. Therefore, the influence space here will increase with the change of meteorological information. Therefore, it is necessary to collect the corresponding meteorological information in real time based on the correlation network. The meteorological information includes wind direction and wind speed. The influence space of the monitoring point is adjusted based on the meteorological information and the adjusted influence space. The corresponding monitoring line is adjusted based on the adjusted influence space. Ant points at different positions are obtained according to the adjusted monitoring line. Here, the corresponding monitoring line is adjusted to adjust the direction of the monitoring line, the spiral diameter and the scope of involvement, such as stretching the monitoring line, changing the diameter of the monitoring line, etc. The stretching The degree of stretching and the degree of changing the monitoring line can be pre-defined according to the wind speed in the meteorological information. For example, when the wind speed is L, what is the stretching degree and diameter of the corresponding monitoring line? In this way, when the actual corresponding meteorological information is obtained, the monitoring line can be directly adjusted according to the pre-defined value. The ant point is fixed on the monitoring line. When the monitoring line is stretched and the diameter of the monitoring line is changed, the relative positions between the multiple ant points are changed, which can better adapt to the meteorological information and better monitor the air quality. The air information is collected based on the ant points on the adjusted monitoring line, and the correlation structure information between the multiple monitoring ports is packaged to obtain verification information. The verification information is bound to the air information and transmitted through the connection channel. Based on the connection When the connection channel transmits the verification information and the air information to the location of the associated verification point, the verification information and the associated verification point will be verified. If the verification information is consistent with the information of the associated verification point, it means that the transmission status is normal and is transmitted to the connection point of the upper space model corresponding to the monitoring port. The associated verification point here is used to verify whether the verification information is consistent with the verification information, which represents the air data collected by the corresponding ant point to avoid being replaced by network attacks. The corresponding standard air quality information is set for the corresponding monitoring interval. The air information collected by the ant point is compared with the standard air quality information based on the monitoring interval. The air information that exceeds the standard air quality information is regarded as abnormal information. The standard air quality information here is the corresponding qualified pollutant gas emission under the meteorological information in the monitoring interval. Standard air quality information within the monitoring interval, for example, the content range of a certain gas in the air should be T1-T2 within the monitoring interval. However, when the content range of the gas in the air information collected by the ant point in the monitoring area actually exceeds T1-T2, it means that the air information is abnormal information. Finally, the pollution direction information is predicted based on the meteorological information and the abnormal information, wherein the pollution direction information is the pollution range involved in the abnormal information and the polluted air information corresponding to the pollution range. The meteorological information here predicts the wind speed and wind direction, the pollution range of the abnormal information spread in the air, and the polluted air information corresponding to the pollution range. Then, the pollution range of the abnormal information spread in the air and the polluted air information corresponding to the pollution range are uploaded to the environmental steward cloud server for storage.It can accurately predict the air information in accordance with the actual environment, and has good information collection and self-adjustment functions.

[0083] The above description is merely a specific embodiment of the present application, but the scope of protection of the present application is not limited thereto. Any changes or substitutions that can be easily conceived by a person skilled in the art within the technical scope disclosed in this application should be included in the scope of protection of this application. Therefore, the scope of protection of this application should be based on the scope of protection of the claims.

Claims

1. An environmental steward pollution source prediction system for air quality monitoring, characterized in that: include: A construction module is used to define the air quality monitoring range, obtain spatial information within the monitoring range, and build a monitoring model based on the monitoring range and spatial information; The division module is connected to the construction module and is used to select multiple monitoring points within the monitoring range and divide the corresponding influence spaces, and construct the monitoring points and the corresponding influence spaces into the monitoring model; An association module, connected to the partitioning module, is used to set multiple ant points in the monitoring point and the corresponding influence space, and associate the multiple ant points based on a single monitoring point and the corresponding influence space to obtain an association network; A setting module, connected to the association module, is used to set a monitoring port corresponding to the association network and establish a connection relationship between the monitoring port and the upper space model; A prediction module, connected to the setting module, is used to collect air information and corresponding meteorological information in real time based on the correlation network, and predict pollution trend information based on the air information and the corresponding meteorological information; The association module includes: A setting unit is used to set an ant point corresponding to the monitoring point, set multiple ant points in the influence space corresponding to the monitoring point, and set identity information of the corresponding ant point as the ant point position; An association unit, configured to connect a single monitoring point with an ant point in the corresponding influence space based on identity information to obtain an association network; The setting unit includes: An information construction unit, used to set ant points at monitoring point locations and construct them into the monitoring model; The spatial planning unit is used to divide the affected space into regions with the monitoring point as the starting point, obtain multiple monitoring intervals, set corresponding spiral densities for the multiple monitoring intervals, and draw a spiral line on the affected space with the monitoring point as the starting point according to the spiral density corresponding to the monitoring interval to obtain a spiral setting line; a copying unit, configured to copy the spiral setting line to obtain a plurality of setting lines, encode the plurality of setting lines to obtain first identity information, and scale the plurality of setting lines respectively and place them in an influence space to obtain a monitoring line; A selection unit is used to select multiple points on the monitoring line as ant points, encode the corresponding ant points to obtain second identity information, and combine the second identity information of the ant points with the first identity information of the set line to obtain the ant point position; The setting module includes: An association unit, configured to set corresponding monitoring ports for corresponding association networks, and associate multiple monitoring ports as a lower-layer network; The port connection unit is used to construct an upper-layer space model based on the lower-layer network and establish a connection relationship between the monitoring port and the upper-layer space model.

2. The environmental steward pollution source prediction system for air quality monitoring according to claim 1 is characterized by: The building blocks include: An acquisition unit is used to define a monitoring range for air quality monitoring and obtain spatial information within the monitoring range, wherein the spatial information includes geographical environment information and building information; The construction unit is used to perform three-dimensional construction based on the monitoring range and spatial information to obtain a monitoring model.

3. The environmental steward pollution source prediction system for air quality monitoring according to claim 1 is characterized by: The division module includes: An information acquisition unit is used to acquire a plurality of impact information within the monitoring range, wherein the impact information includes an impacted item and an impacted location, and corresponding monitoring points are set for each of the plurality of impact information; A binding unit, configured to divide the corresponding impact space based on the corresponding monitoring points of the impact information and perform information binding; The information construction unit is used to construct the monitoring points and the corresponding impact spaces into the monitoring model.

4. The environmental steward pollution source prediction system for air quality monitoring according to claim 1 is characterized by: The port connection unit includes: A connection setting unit, configured to set connection points at positions corresponding to monitoring ports in the monitoring model to obtain an upper space model; The construction unit is used to establish connection channels between multiple connection points and corresponding monitoring ports, set associated verification points on multiple connection channels, and obtain the connection relationship between the monitoring ports and the upper space model.

5. The environmental steward pollution source prediction system for air quality monitoring according to claim 1 is characterized by: The prediction module includes: an adjustment unit configured to collect corresponding meteorological information in real time based on the associated network, wherein the meteorological information includes wind direction and wind speed, perform adjustments based on the meteorological information and the influence space of the monitoring point, adjust the corresponding monitoring line based on the adjusted influence space, and obtain ant points at different positions based on the adjusted monitoring line; An information collection unit is used to collect air information based on the ant points on the adjusted monitoring line, package the correlation structure information between multiple monitoring ports to obtain verification information, and bind the verification information with the air information for transmission through the connection channel; A transmission unit, configured to verify the verification information and the associated verification point when transmitting the verification information and the air information to the location of the associated verification point based on the connection channel. If the verification information is consistent with the information of the associated verification point, it indicates that the transmission status is normal and the verification information is transmitted to the connection point of the upper space model corresponding to the monitoring port. a judgment unit, configured to set corresponding standard air quality information for each monitoring interval, compare the air information collected by the ant point with the standard air quality information based on the monitoring interval, and regard air information exceeding the standard air quality information as abnormal information; The prediction unit is used to predict pollution trend information based on meteorological information and abnormal information, wherein the pollution trend information is the pollution range involved in the abnormal information and the polluted air information corresponding to the pollution range.

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