Methods, systems, equipment, and media for identifying bubbling pollution monitoring sites.

Abstract

This invention relates to the field of air pollution monitoring, and in particular to a method, system, device, and medium for identifying bubbling pollution monitoring sites. The method includes: determining corresponding alarm thresholds and high-value thresholds for different air pollutants, and determining a baseline value; acquiring air monitoring data from multiple district / county monitoring stations, and marking alarm points in the air monitoring data based on the alarm thresholds and the baseline value; removing abnormal points from the air monitoring data after marking alarm points based on preset rules and the high-value thresholds, and performing supplementary marking processing for the bubbling process; and filtering and sorting the district / county monitoring stations based on the processed air monitoring data to obtain bubbling and non-bubbling stations. This method can quickly and in large quantities filter district / county monitoring stations, accurately identify bubbling points with obvious pollution process characteristics, facilitate precise source tracing of regional pollution causes, and assist relevant departments in carrying out precise pollution prevention and control rectification work at the district / county level.

Description

Technical Field

[0001] This invention relates to the field of atmospheric monitoring technology, and in particular to a method, system, computer equipment, and readable storage medium for identifying bubbling pollution monitoring sites. Background Technology

[0002] Ecological and environmental monitoring is the foundation of ecological and environmental protection and an important support for the construction of ecological civilization. The construction of a scientific, independent, authoritative, and efficient ecological and environmental monitoring system has been comprehensively strengthened, providing strong support for winning the battle against pollution. The existing ecological and environmental monitoring network, through monitoring air, water, ecology, and pollution sources in key districts and counties, has established an ecological and environmental quality evaluation and ranking system based on monitoring data.

[0003] Currently, the existing ecological environment quality evaluation and ranking system can reflect the air quality and changes of various stations in different regions over a period of time in an overall manner. However, it cannot obtain the changing patterns of monitoring data of each station through longitudinal comparison. It cannot accurately judge the situation of monitoring data being too high due to short-term pollution processes. Pollution prevention and control based on ranking has low precision and is not conducive to relevant departments to carry out pollution prevention and control rectification work in districts and counties. Summary of the Invention

[0004] To address the aforementioned technical problems, this invention provides a method and system for identifying bubbling monitoring stations in air pollution monitoring. This method can quickly filter a large number of county-level monitoring stations, accurately identify bubbling points with obvious pollution process characteristics, facilitate precise source tracing of regional pollution causes, provide technical support to relevant departments, improve system efficiency, and assist relevant departments in carrying out precise pollution prevention and control rectification work in key counties and districts.

[0005] This invention provides a method for identifying bubbling pollution monitoring stations, comprising the following steps:

[0006] For different air pollutants, corresponding alarm thresholds and high-value thresholds are determined, and baseline values ​​are established.

[0007] Acquire atmospheric monitoring data from multiple district and county monitoring stations, and mark alarm points on the atmospheric monitoring data based on the alarm threshold and the benchmark value;

[0008] Based on preset rules and the high-value threshold, abnormal points in the atmospheric monitoring data after removing the marked alarm points are processed by a bubble process to re-mark them.

[0009] Based on the processed atmospheric monitoring data, the monitoring stations in the districts and counties are screened and sorted to obtain the bubbling stations and the non-bubbling stations.

[0010] Furthermore, the average value of all national control standard stations in the city where the district / county station is located is selected as the benchmark value.

[0011] Furthermore, the marking of the alarm point must simultaneously meet the following two conditions: higher than the alarm threshold and higher than the benchmark value by 1 time.

[0012] Furthermore, the rules for removing outliers include: missing data in the atmospheric monitoring data within two hours before and after the alarm point; and the concentration of the alarm point being lower than the high value threshold, and the concentration being lower than the high value threshold for all five hours before and after the alarm point.

[0013] Furthermore, the bubbling process supplementary labeling rules include: if the concentration at the alarm point is greater than the high value threshold, and there are times within 5 hours before and after that time that are higher than the high value threshold, then the entire time period determined by that time and the alarm point time is marked as an alarm point.

[0014] Furthermore, the monitoring stations in the aforementioned districts and counties are screened, and stations that simultaneously meet the following conditions are marked as bubbling stations, while stations that do not meet the conditions are marked as non-bubbling stations:

[0015] The number of alarm points in the entire month is greater than 10;

[0016] The number of high-value points exceeding the high-value threshold is greater than 10 throughout the month;

[0017] During non-alarm periods throughout the month, the cumulative difference between district / county stations and the baseline value is less than 800;

[0018] All alarm points throughout the month were distributed across at least three calendar days.

[0019] Furthermore, the bubbling stations are sorted according to the concentration of wind direction at the time of the alarm.

[0020] To address the aforementioned problems in the prior art, the present invention also provides a system for identifying bubbling pollution monitoring stations, comprising:

[0021] The determination module is used to determine the corresponding alarm threshold and high threshold for different air pollutants, and to determine the baseline value;

[0022] The acquisition and marking module is used to acquire atmospheric monitoring data from multiple district and county monitoring stations, and mark alarm points on the atmospheric monitoring data based on the alarm threshold and the benchmark value;

[0023] The removal and remarking module is used to remove abnormal points in the atmospheric monitoring data after removing the marked alarm points based on preset rules and the high value threshold, and to perform bubble-process remarking.

[0024] The filtering and sorting module is used to filter and sort the monitoring stations in the district and county based on the processed atmospheric monitoring data to obtain the bubbling stations and non-bubbling stations.

[0025] To address the aforementioned problems in the prior art, the present invention also provides a computer device, comprising at least one processor, at least one memory, and a data bus; wherein: the processor and the memory communicate with each other via the data bus; the memory stores a program executed by the processor to implement the aforementioned method for identifying bubbling sites for air pollution monitoring.

[0026] The present invention also provides a computer-readable storage medium storing computer-readable instructions, which, when executed by a processor, implement the steps of the above-described method for identifying bubbling sites for air pollution monitoring.

[0027] Compared with the prior art, the present invention has at least the following beneficial effects:

[0028] The above-mentioned method for identifying bubbling sites in air pollution monitoring can establish a process for identifying sites (bubbling points) with obvious pollution process characteristics based on long-term monitoring data from district and county monitoring stations and the benchmark set by the monitoring data of local national standard stations. This method can quickly filter district and county monitoring stations in large quantities, accurately identify bubbling points with obvious pollution process characteristics, help to accurately trace the causes of regional pollution, provide technical support to relevant departments, improve system efficiency, and assist relevant departments in carrying out precise pollution prevention and control rectification work in key districts and counties. Attached Figure Description

[0029] To more clearly illustrate the technical solutions of the embodiments of the present invention, the accompanying drawings used in the embodiments will be briefly introduced below. It should be understood that the following drawings only show some embodiments of the present invention and should not be regarded as a limitation on the scope. For those skilled in the art, other related drawings can be obtained based on these drawings without creative effort.

[0030] Figure 1 This is a flowchart illustrating a method for identifying bubbling pollution monitoring stations provided in an embodiment of the present invention.

[0031] Figure 2 This is a schematic diagram of the functional modules of an air pollution monitoring bubbling site identification system provided in an embodiment of the present invention;

[0032] Figure 3 This is a schematic diagram of the structure of a computer device provided by the present invention. Detailed Implementation

[0033] The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0034] Example 1:

[0035] like Figure 1 As shown, this embodiment of the invention provides a method for identifying bubbling pollution monitoring stations, including the following steps:

[0036] S101. Determine the corresponding alarm threshold and high-value threshold for different air pollutants, and determine the benchmark value;

[0037] S102. Obtain atmospheric monitoring data from multiple district and county monitoring stations, and mark alarm points on the atmospheric monitoring data based on the alarm threshold and the benchmark value;

[0038] S103. Based on preset rules and the high-value threshold, abnormal points in the atmospheric monitoring data after removing the marked alarm points are processed by performing a bubble process to re-mark them.

[0039] S104. Based on the processed atmospheric monitoring data, the monitoring stations in the district and county are screened and sorted to obtain the bubbling stations and non-bubbling stations.

[0040] For different types of air pollutants, separate alarm thresholds and high-value thresholds are determined. If the value is below the alarm threshold, no alarm is triggered. If the value is below the high-value threshold, further judgment is required.

[0041] The selection of the benchmark value needs to take into account the relevance and authority of the district and county stations, and the average value of all national control standard stations in the city where the district and county stations are located should be selected as the benchmark value.

[0042] Furthermore, the marking of the alarm point must simultaneously meet the following two conditions: higher than the alarm threshold and higher than the benchmark value by 1 time.

[0043] Furthermore, the rules for removing outliers include: missing data in the atmospheric monitoring data within two hours before and after the alarm point; and the concentration of the alarm point being lower than the high value threshold, and the concentration being lower than the high value threshold for all five hours before and after the alarm point.

[0044] Furthermore, the bubbling process supplementary labeling rules include: if the concentration at the alarm point is greater than the high value threshold, and there are times within 5 hours before and after that time that are higher than the high value threshold, then the entire time period determined by that time and the alarm point time is marked as an alarm point.

[0045] Furthermore, the monitoring stations in the aforementioned districts and counties are screened, and stations that simultaneously meet the following conditions are marked as bubbling stations, while stations that do not meet the conditions are marked as non-bubbling stations:

[0046] The number of alarm points in the entire month is greater than 10;

[0047] The number of high-value points exceeding the high-value threshold is greater than 10 throughout the month;

[0048] During non-alarm periods throughout the month, the cumulative difference between district / county stations and the baseline value is less than 800;

[0049] All alarm points throughout the month were distributed across at least three calendar days.

[0050] Furthermore, the bubbling sites are sorted according to the concentration of wind direction at the time of the alarm. Specifically, the recommended sorting of bubbling sites can be based on the number of the two wind directions with the most occurrences and their proportion among all wind directions, thereby quickly and accurately identifying bubbling points with obvious pollution process characteristics.

[0051] By following the steps of the above-mentioned method for identifying bubbling sites in air pollution monitoring, a set of methods can be established to identify sites (bubbling points) with obvious pollution process characteristics based on long-term monitoring data from district and county monitoring stations and benchmarks set by monitoring data from local national standard stations. This method can quickly filter district and county monitoring stations in large quantities, accurately identify bubbling points with obvious short-term pollution process characteristics, help to accurately trace the causes of regional pollution, provide technical support to relevant departments, improve system efficiency, and assist relevant departments in carrying out precise pollution prevention and control rectification work in key districts and counties.

[0052] Example 2:

[0053] like Figure 2 As shown, this embodiment of the invention also provides a system for identifying bubbling pollution monitoring stations. Specifically, this system includes:

[0054] Module 1 is used to determine the corresponding alarm threshold and high threshold for different air pollutants, and to determine the baseline value;

[0055] The acquisition and marking module 2 is used to acquire atmospheric monitoring data from multiple district and county monitoring stations, and mark alarm points on the atmospheric monitoring data based on the alarm threshold and the benchmark value;

[0056] The removal and remarking module 3 is used to remove abnormal points in the atmospheric monitoring data after removing the marked alarm points based on preset rules and the high value threshold, and to perform bubble process remarking.

[0057] The filtering and sorting module 4 is used to filter and sort the monitoring stations in the district and county based on the processed atmospheric monitoring data to obtain the bubbling stations and non-bubbling stations.

[0058] The bubbling site identification system for air pollution monitoring in this embodiment of the invention can be used in the bubbling site identification method for air pollution monitoring to implement the steps of the method and bring corresponding beneficial effects. That is, it can establish a method and process for identifying sites (bubbling points) with obvious pollution process characteristics based on long-term monitoring data of district and county monitoring stations and combined with the monitoring data of local national standard stations to set benchmarks. It can quickly filter district and county monitoring stations in large quantities, accurately identify bubbling points with obvious pollution process characteristics, help to accurately trace the causes of regional pollution, provide technical support to relevant departments, improve system efficiency, and can be used to assist relevant departments in carrying out precise pollution prevention and control rectification work in key districts and counties.

[0059] Example 3:

[0060] Please see Figure 3 This invention also provides a computer device, which includes a memory 5, a processor 6, and a network interface 7 that are communicatively connected to each other via a data bus. It should be noted that only a computer device with components 5-7 is shown in the figures; however, it should be understood that it is not required to implement all the shown components, and more or fewer components can be implemented instead. Those skilled in the art will understand that the computer device described here is a device capable of automatically performing numerical calculations and / or information processing according to pre-set or stored instructions, and its hardware includes, but is not limited to, microprocessors, application-specific integrated circuits (ASICs), field-programmable gate arrays (FPGAs), digital signal processors (DSPs), embedded devices, etc.

[0061] The computer device can be a desktop computer, laptop, handheld computer, or cloud server, etc. The computer device can interact with the user via a keyboard, mouse, remote control, touchpad, or voice control.

[0062] The memory 5 includes at least one type of readable storage medium, including flash memory, hard disk, multimedia card, card-type memory (e.g., SD or DX memory), random access memory (RAM), static random access memory (SRAM), read-only memory (ROM), electrically erasable programmable read-only memory (EEPROM), programmable read-only memory (PROM), magnetic memory, disk, optical disk, etc. In some embodiments, the memory 5 may be an internal storage unit of the computer device, such as the hard disk or memory of the computer device. In other embodiments, the memory 5 may also be an external storage device of the computer device, such as a plug-in hard disk, smart media card (SMC), secure digital (SD) card, flash card, etc., equipped on the computer device. Of course, the memory 5 may also include both the internal storage unit and the external storage device of the computer device. In this embodiment, the memory 5 is typically used to store the operating system installed on the computer device, various application software, and the program for identifying bubbling sites for air pollution monitoring. The memory 5 may also be used to temporarily store various types of data that have been output or will be output.

[0063] In some embodiments, the processor 6 may be a central processing unit (CPU), controller, microcontroller, microprocessor, or other data processing chip. The processor 6 is typically used to control the overall operation of the computer device. In this embodiment, the processor 6 is used to run a program stored in the memory 5 for identifying bubbling sites for air pollution monitoring. The network interface 7 may include a wireless network interface or a wired network interface, which is typically used to establish communication connections between the computer device and other electronic devices.

[0064] The readable storage medium stores a computer program, which is a program for identifying bubbling sites for air pollution supervision. The program for identifying bubbling sites for air pollution supervision can be executed by at least one processor, so that the at least one processor executes the program for identifying bubbling sites for air pollution supervision and realizes the functions of the relevant system modules.

[0065] Through the above description of the embodiments, those skilled in the art can clearly understand that the above embodiments can be implemented by means of software plus necessary general-purpose hardware platforms. Of course, they can also be implemented by hardware, but in many cases the former is a better implementation method. Based on this understanding, the technical solution of this application, in essence, or the part that contributes to the prior art, can be embodied in the form of a software product. This computer software product is stored in a storage medium (such as ROM / RAM, magnetic disk, optical disk), and includes several instructions to cause a terminal device (which may be a mobile phone, computer, server, air conditioner, or network device, etc.) to execute the methods and systems described in the embodiments of this application.

[0066] Obviously, the embodiments described above are only some embodiments of this application, not all embodiments. The accompanying drawings show preferred embodiments of this application, but do not limit the patent scope of this application. This application can be implemented in many different forms; rather, the purpose of providing these embodiments is to provide a more thorough and comprehensive understanding of the disclosure of this application. Although this application has been described in detail with reference to the foregoing embodiments, those skilled in the art can still modify the technical solutions described in the foregoing specific embodiments, or make equivalent substitutions for some of the technical features. Any equivalent structures made using the content of this application's specification and drawings, directly or indirectly applied to other related technical fields, are similarly within the scope of patent protection of this application.

Claims

1. A method for identifying bubbling pollution monitoring stations, characterized in that, Includes the following steps: For different air pollutants, corresponding alarm thresholds and high-value thresholds are determined, and the average value of all national control standard stations in the city where the district and county stations are located is selected as the benchmark value. Acquire atmospheric monitoring data from multiple district and county monitoring stations, and mark alarm points on the atmospheric monitoring data based on the alarm threshold and the benchmark value; the marking of the alarm point must simultaneously meet the following two conditions: higher than the alarm threshold and higher than the benchmark value by 1 time. Based on preset rules and the high-value threshold, abnormal points in the atmospheric monitoring data after removing the marked alarm points are processed by a bubble process to re-mark them. The rules for removing anomalies include: missing data within two hours before and after the atmospheric monitoring data; and the concentration at the alarm point being lower than the high value threshold, and the concentration being lower than the high value threshold for all five hours before and after the alarm point. The rules for supplementing the marking of the bubbling process include: if the concentration at the alarm point is greater than the high value threshold, and there is a time within five hours before and after that that concentration is higher than the high value threshold, then the entire time period determined by that time and the alarm point time is marked as an alarm point. Based on the processed atmospheric monitoring data, the monitoring stations in the districts and counties were screened and sorted to obtain the "bubbling" stations and the "non-bubbling" stations. The monitoring stations in the districts and counties were further screened, and stations that simultaneously met the following conditions were marked as "bubbling" stations, while stations that did not meet the conditions were marked as "non-bubbling" stations: The number of alarm points in the entire month is greater than 10; The number of high-value points exceeding the high-value threshold is greater than 10 throughout the month; During non-alarm periods throughout the month, the cumulative difference between district / county stations and the baseline value is less than 800; All alarm points throughout the month were distributed across at least three calendar days; The bubbling stations are then sorted according to the wind direction concentration at the time of the alarm.

2. A system for identifying bubbling pollution monitoring stations, characterized in that, include: The determination module is used to determine the corresponding alarm threshold and high value threshold for different air pollutants, and select the average value of all national control standard stations in the city where the district and county stations are located as the benchmark value; The acquisition and marking module is used to acquire atmospheric monitoring data from multiple district and county monitoring stations, and mark alarm points on the atmospheric monitoring data based on the alarm threshold and the benchmark value; the marking of the alarm point must simultaneously meet the following two conditions: higher than the alarm threshold and higher than the benchmark value by 1 time. The removal and remarking module is used to remove abnormal points in the atmospheric monitoring data after removing the marked alarm points based on preset rules and the high value threshold, and to perform bubble-process remarking. The rules for removing anomalies include: missing data within two hours before and after the atmospheric monitoring data; and the concentration at the alarm point being lower than the high value threshold, and the concentration being lower than the high value threshold for all five hours before and after the alarm point. The rules for supplementing the marking of the bubbling process include: if the concentration at the alarm point is greater than the high value threshold, and there is a time within five hours before and after that that concentration is higher than the high value threshold, then the entire time period determined by that time and the alarm point time is marked as an alarm point. The filtering and sorting module is used to filter and sort the monitoring stations in the district and county based on the processed atmospheric monitoring data to obtain the bubbling stations and non-bubbling stations. The module filters the monitoring stations in the district and county, marking stations that simultaneously meet the following conditions as bubbling stations and those that do not as non-bubbling stations: The number of alarm points in the entire month is greater than 10; The number of high-value points exceeding the high-value threshold is greater than 10 throughout the month; During non-alarm periods throughout the month, the cumulative difference between district / county stations and the baseline value is less than 800; All alarm points throughout the month were distributed across at least three calendar days; The bubbling stations are then sorted according to the wind direction concentration at the time of the alarm.

3. A computer device, characterized in that, It includes at least one processor, at least one memory, and a data bus; wherein: the processor and the memory communicate with each other through the data bus; the memory stores a program executed by the processor to implement the bubbling site identification method for air pollution monitoring as described in claim 1.

4. A computer-readable storage medium, characterized in that, The computer-readable storage medium stores computer-readable instructions, which, when executed by a processor, implement the steps of the bubbling site identification method for air pollution monitoring as described in claim 1.

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