Optical and electrochemical combined ambient air online monitoring method and system

Abstract

The invention relates to the technical field of air monitoring, in particular to an optical and electrochemical combined ambient air online monitoring method and system.The method comprises the steps that an ambient air sample and factory operation information are collected, PM2.5, PM10, SOO, NOO and Oin the ambient air sample are subjected to optical online monitoring, and an optical gas monitoring result is obtained; the method comprises the following steps: monitoring CO of an ambient air sample, determining an electrochemical gas monitoring result according to a redox monitoring result, and performing ambient air change rehearsal on an optical gas monitoring result and the electrochemical gas monitoring result based on factory operation information to obtain ambient air parameters in a future time period; and whether the environment air parameters meet a preset air parameter standard or not is judged, if not, environment rectification information is generated according to air environment early warning information in the preset air parameter standard, and the environment rectification information is sent to the target terminal. According to the invention, the occurrence of safety accidents caused by the ambient air problem is effectively avoided.

Description

Technical Field

[0001] This application relates to the technical field of air monitoring, and in particular to an online method and system for monitoring ambient air using a combination of optical and electrochemical methods. Background Technology

[0002] With the rapid development of global industrialization, the number and scale of factories have continued to expand, and various industrial production activities have emitted large amounts of pollutants into the environment, leading to a continuous deterioration of ambient air quality. Pollutants in the ambient air, such as volatile organic compounds (VOCs), carbon monoxide (CO), and sulfur dioxide (SO2), not only cause serious damage to the ecological environment, triggering environmental problems such as acid rain and photochemical smog, but also pose a great threat to human health, leading to various health problems such as respiratory and cardiovascular diseases. Therefore, accurate and timely monitoring of ambient air quality is crucial for protecting the ecological environment and human health.

[0003] Currently, existing ambient air monitoring methods primarily focus on real-time monitoring of pollutant concentrations in the ambient air, lacking effective prediction of future changes in ambient air quality. In actual production processes, factory operations are constantly changing; the start-up and shutdown of different equipment, adjustments to production loads, etc., all lead to changes in pollutant emissions, thus affecting ambient air quality. However, traditional monitoring methods cannot combine this factory operational information with ambient air monitoring data, making it difficult to predict future air quality trends and providing forward-looking decision support for environmental management and pollution control. Summary of the Invention

[0004] To address at least one of the aforementioned technical problems, this application provides an online monitoring method and system for ambient air that combines optics and electrochemistry.

[0005] In a first aspect, this application provides an online monitoring method for ambient air using a combination of optics and electrochemistry, employing the following technical solution: Collect ambient air samples and factory operation information within a preset area of ​​the factory. The factory operation information refers to the operation information of different equipment in the factory from the current time point to a future preset time point. Based on the absorption characteristics of gas molecules to light of specific wavelengths, optical online monitoring of PM2.5, PM10, SO2, NO2, and O3 in the ambient air sample was performed to obtain optical gas monitoring results. Electrode redox monitoring was performed on the CO in the ambient air sample, and the electrochemical gas monitoring results were determined based on the redox monitoring results. Based on the factory operation information, the ambient air change prediction is performed on the optical gas monitoring results and the electrochemical gas monitoring results to obtain the ambient air parameters for the future time period. Determine whether the ambient air parameters meet the preset air parameter standards. If not, generate environmental rectification information based on the air environment early warning information in the preset air parameter standards, and send the environmental rectification information to the target terminal.

[0006] By employing the aforementioned technical solution, ambient air samples are collected within a pre-defined area of ​​the factory, directly obtaining the original state information of the air in that area at the current time. Simultaneously, operational information for different equipment within the factory from the current time point to a pre-defined future time point is collected, providing crucial information for subsequent analysis. The operational status of different equipment directly affects air composition; for example, certain equipment may emit specific pollutants. Combining air samples with operational information allows for a comprehensive understanding of the factory's environmental status and potential influencing factors, laying the foundation for accurate monitoring of various gas components. This enables multi-dimensional and precise data collection of ambient air, providing a reliable basis for subsequent analysis. Based on the absorption characteristics of gas molecules to specific wavelengths of light, optical online monitoring of PM2.5, PM10, SO2, NO2, and O3 in ambient air samples is performed. Utilizing the unique physical properties of gases, the concentration of these gases can be quickly and accurately identified and measured. Optical monitoring has the advantages of fast response speed and high sensitivity, allowing for real-time acquisition of gas concentration data. Simultaneously, electrode redox monitoring of CO in ambient air samples is performed; electrochemical methods offer high selectivity and accuracy for CO detection. By combining optical and electrochemical monitoring, the advantages of both methods are fully utilized to achieve efficient and accurate monitoring of multiple key gases, yielding comprehensive and accurate optical and electrochemical gas monitoring results. Based on acquired factory operation information, ambient air quality changes are simulated using both optical and electrochemical gas monitoring results. Factory operation information reflects the operating status of equipment over a future period, and different equipment operations generate different pollutants, affecting air quality. Combining currently monitored gas concentration data with scientific models and algorithms, the changing trends of ambient air parameters over a future time period can be simulated. The simulated ambient air parameters are then assessed to determine if they meet preset air parameter standards. If not, it indicates a future problem with the factory's ambient air quality. At this point, environmental remediation information is generated based on air environment early warning information from the preset air parameter standards. This early warning information clarifies the remediation directions and measures corresponding to different exceedance situations. Sending the environmental remediation information to target terminals allows for timely notification of relevant personnel to take action. Based on the remediation information, relevant personnel adjust and optimize factory equipment operation and production processes to reduce pollutant emissions at the source, thereby effectively improving the factory's ambient air quality and preventing adverse effects of air quality deterioration on factory production and employee health.

[0007] In one possible implementation, the step of performing an ambient air change prediction based on the factory operation information, using the optical gas monitoring results and the electrochemical gas monitoring results, to obtain ambient air parameters for a future time period includes: Collect historical operational and environmental information of the factory's preset area within a historical period; The first historical monitoring result and the second historical monitoring result are determined based on historical environmental information. The first historical monitoring result is the gas monitoring result obtained by using optical technology to monitor PM2.5, PM10, SO2, NO2 and O3 in the gas environment. The second historical monitoring result is the gas monitoring result obtained by using electrochemical technology to monitor CO in the gas environment. A correlation curve is constructed by combining the first historical monitoring results, the second historical monitoring results, and the historical operation information to obtain an environmental dynamic curve; Based on the optical gas monitoring results and the electrochemical gas monitoring results, the environmental dynamic curve is truncated to obtain multiple dynamic curves; Based on the multiple dynamic curves and the factory operation information, the ambient air is predicted and analyzed to obtain the ambient air parameters for the future time period.

[0008] In one possible implementation, the step of constructing a correlation curve from the first historical monitoring result, the second historical monitoring result, and the historical operation information to obtain an environmental dynamic curve includes: Create an air dynamic coordinate system, where the X-axis represents different time points and the Y-axis represents the ambient air parameter specifications under different factory operating conditions. The first historical monitoring result and the second historical monitoring result are respectively associated and bound with the historical operation information to obtain the dynamic air parameters of each factory equipment in the historical operation information under different operation states; The dynamic air parameters are imported into the air dynamic coordinate system according to time nodes to obtain the environmental dynamic curves corresponding to each type of factory equipment under different working conditions.

[0009] In one possible implementation, the environmental dynamic curve is truncated based on the optical gas monitoring results and the electrochemical gas monitoring results to obtain multiple dynamic curves, including: The optical gas monitoring results are used as the first search condition to search the environmental dynamic curve, and the first gas node corresponding to the optical gas monitoring results in the environmental dynamic curve is determined. The first gas node is used as the curve interception point, and the dynamic curve is intercepted according to the time series to obtain multiple first dynamic curves. The electrochemical gas monitoring results are used as the second search condition to search the environmental dynamic curve, and the second gas node corresponding to the electrochemical gas monitoring results in the environmental dynamic curve is determined. The second gas node is used as the curve interception point, and the dynamic curve is intercepted according to the time series to obtain multiple second dynamic curves. Overlap detection is performed on the plurality of first dynamic curves and the plurality of second dynamic curves, and the curves that meet the overlap detection results are summarized to obtain a plurality of dynamic curves.

[0010] In one possible implementation, the step of predicting and analyzing ambient air quality based on the plurality of dynamic curves and the factory operation information to obtain ambient air parameters for a future time period includes: Based on the factory operation information, determine the equipment operation plan for each type of factory equipment in the future time period; Based on the multiple dynamic curves, determine the equipment operation data of each type of factory equipment within the historical period; The operation data in the equipment operation plan is correlated and matched with the equipment operation data to determine the target dynamic curve that is compatible with the equipment operation plan; Based on the target dynamic curve, determine the slope of air data for different ambient air compositions during the operation of each type of factory equipment; Supervised prediction is performed on the air data slope to obtain the predicted air slope for each type of factory equipment in the future time period; The optical gas monitoring results, the electrochemical gas monitoring results, and the air prediction slope are imported into the air dynamic coordinates to plot curves and obtain the future dynamic curve. Air parameters are collected from the future dynamic curve at unit time points, and the collected air parameters are sorted according to the time series to obtain the ambient air parameters for the future time period.

[0011] In one possible implementation, the supervised prediction of the air data slope to obtain the predicted air slope for each plant device over a future time period includes: Based on the time series length and the slope of the air data from the factory equipment, a slope matrix data is obtained. By performing basic data distribution exploration on the slope matrix data, the relative periodicity of the slope corresponding to each factory equipment is obtained; The time period length is determined based on the relative periodicity of the slope, and the slope matrix data is processed by supervised time series data based on the time period length. The processed slope matrix data is then input into a preset model to perform slope data extrapolation, thereby obtaining the air prediction slope for each type of factory equipment in the future time period.

[0012] In one possible implementation, determining the air data slope for different ambient air compositions during operation for each type of factory equipment based on the target dynamic curve includes: Determine whether there is an abnormal point of increase or decrease in each target dynamic curve. If so, define the abnormal point of increase or decrease as an interference point. The interference points are numbered according to time sequence, and the interference air data corresponding to each interference point, the initial air data corresponding to the initial point of the target dynamic curve, and the termination air data corresponding to the termination point of the target dynamic curve are determined. Based on the adjacency characteristics between interference points and the interference air data, determine the first air data and the first period of change between adjacent interference points; The second air data and the second change period are determined based on the initial air data and the interfering air data corresponding to the first interference point. The third air data and the third change period are determined based on the terminated air data and the interference air data corresponding to the Nth interference point. Calculate the ratio of the first air data to the first change period, the ratio of the second air data to the second change period, and the ratio of the third air data to the third change period, respectively, to obtain the first air slope corresponding to the first air data, the second air slope corresponding to the second air data, and the third air slope corresponding to the third air data, where N is the total number of interference points; The first air slope, the second air slope, and the third air slope are integrated and calculated according to the proportional relationship between the first change period, the second change period, and the third change period to obtain the air data slope of different ambient air components for each type of factory equipment during operation.

[0013] Secondly, this application provides an online ambient air monitoring system that combines optics and electrochemistry, employing the following technical solution: An online ambient air monitoring system combining optics and electrochemistry, comprising: The information acquisition module is used to collect ambient air samples and factory operation information within a preset area of ​​the factory. The factory operation information is the operation information of different equipment in the factory from the current time node to a future preset time node. An optical monitoring module is used to perform online optical monitoring of PM2.5, PM10, SO2, NO2, and O3 in the ambient air sample based on the absorption characteristics of gas molecules to light of specific wavelengths, and to obtain optical gas monitoring results. An electrochemical monitoring module is used to perform electrode redox monitoring of CO in the ambient air sample and to determine the electrochemical gas monitoring results based on the redox monitoring results. An air simulation module is used to perform an environmental air change simulation based on the factory operation information, the optical gas monitoring results and the electrochemical gas monitoring results, and obtain the environmental air parameters for a future time period. The rectification and early warning module is used to determine whether the ambient air parameters meet the preset air parameter standards. If they do not meet the standards, environmental rectification information is generated based on the air environment early warning information in the preset air parameter standards, and the environmental rectification information is sent to the target terminal.

[0014] In one possible implementation, when the air prediction module performs an ambient air change prediction based on the optical gas monitoring results and the electrochemical gas monitoring results according to the factory operation information to obtain ambient air parameters for a future time period, it is specifically used for: Collect historical operational and environmental information of the factory's preset area within a historical period; The first historical monitoring result and the second historical monitoring result are determined based on historical environmental information. The first historical monitoring result is the gas monitoring result obtained by using optical technology to monitor PM2.5, PM10, SO2, NO2 and O3 in the gas environment. The second historical monitoring result is the gas monitoring result obtained by using electrochemical technology to monitor CO in the gas environment. A correlation curve is constructed by combining the first historical monitoring results, the second historical monitoring results, and the historical operation information to obtain an environmental dynamic curve; Based on the optical gas monitoring results and the electrochemical gas monitoring results, the environmental dynamic curve is truncated to obtain multiple dynamic curves; Based on the multiple dynamic curves and the factory operation information, the ambient air is predicted and analyzed to obtain the ambient air parameters for the future time period.

[0015] In another possible implementation, when the air pre-simulation module constructs a correlation curve based on the first historical monitoring results, the second historical monitoring results, and the historical operation information to obtain an environmental dynamic curve, it is specifically used for: Create an air dynamic coordinate system, where the X-axis represents different time points and the Y-axis represents the ambient air parameter specifications under different factory operating conditions. The first historical monitoring result and the second historical monitoring result are respectively associated and bound with the historical operation information to obtain the dynamic air parameters of each factory equipment in the historical operation information under different operation states; The dynamic air parameters are imported into the air dynamic coordinate system according to time nodes to obtain the environmental dynamic curves corresponding to each type of factory equipment under different working conditions.

[0016] In another possible implementation, when the air pre-simulation module truncates the environmental dynamic curve based on the optical gas monitoring results and the electrochemical gas monitoring results to obtain multiple dynamic curves, it is specifically used for: The optical gas monitoring results are used as the first search condition to search the environmental dynamic curve, and the first gas node corresponding to the optical gas monitoring results in the environmental dynamic curve is determined. The first gas node is used as the curve interception point, and the dynamic curve is intercepted according to the time series to obtain multiple first dynamic curves. The electrochemical gas monitoring results are used as the second search condition to search the environmental dynamic curve, and the second gas node corresponding to the electrochemical gas monitoring results in the environmental dynamic curve is determined. The second gas node is used as the curve interception point, and the dynamic curve is intercepted according to the time series to obtain multiple second dynamic curves. Overlap detection is performed on the plurality of first dynamic curves and the plurality of second dynamic curves, and the curves that meet the overlap detection results are summarized to obtain a plurality of dynamic curves.

[0017] In another possible implementation, when the air prediction module performs predictive analysis on ambient air based on the multiple dynamic curves and the factory operation information to obtain ambient air parameters for a future time period, it is specifically used for: Based on the factory operation information, determine the equipment operation plan for each type of factory equipment in the future time period; Based on the multiple dynamic curves, determine the equipment operation data of each type of factory equipment within the historical period; The operation data in the equipment operation plan is correlated and matched with the equipment operation data to determine the target dynamic curve that is compatible with the equipment operation plan; Based on the target dynamic curve, determine the slope of air data for different ambient air compositions during the operation of each type of factory equipment; Supervised prediction is performed on the air data slope to obtain the predicted air slope for each type of factory equipment in the future time period; The optical gas monitoring results, the electrochemical gas monitoring results, and the air prediction slope are imported into the air dynamic coordinates to plot curves and obtain the future dynamic curve. Air parameters are collected from the future dynamic curve at unit time points, and the collected air parameters are sorted according to the time series to obtain the ambient air parameters for the future time period.

[0018] In another possible implementation, when the air prediction module performs supervised prediction on the air data slope to obtain the predicted air slope for each type of factory equipment in a future time period, it is specifically used for: Based on the time series length and the slope of the air data from the factory equipment, a slope matrix data is obtained. By performing basic data distribution exploration on the slope matrix data, the relative periodicity of the slope corresponding to each factory equipment is obtained; The time period length is determined based on the relative periodicity of the slope, and the slope matrix data is processed by supervised time series data based on the time period length. The processed slope matrix data is then input into a preset model to perform slope data extrapolation, thereby obtaining the air prediction slope for each type of factory equipment in the future time period.

[0019] In another possible implementation, when the air simulation module determines the slope of air data for different ambient air components during the operation of each type of factory equipment based on the target dynamic curve, it is specifically used for: Determine whether there is an abnormal point of increase or decrease in each target dynamic curve. If so, define the abnormal point of increase or decrease as an interference point. The interference points are numbered according to time sequence, and the interference air data corresponding to each interference point, the initial air data corresponding to the initial point of the target dynamic curve, and the termination air data corresponding to the termination point of the target dynamic curve are determined. Based on the adjacency characteristics between interference points and the interference air data, determine the first air data and the first period of change between adjacent interference points; The second air data and the second change period are determined based on the initial air data and the interfering air data corresponding to the first interference point. The third air data and the third change period are determined based on the terminated air data and the interference air data corresponding to the Nth interference point. Calculate the ratio of the first air data to the first change period, the ratio of the second air data to the second change period, and the ratio of the third air data to the third change period, respectively, to obtain the first air slope corresponding to the first air data, the second air slope corresponding to the second air data, and the third air slope corresponding to the third air data, where N is the total number of interference points; The first air slope, the second air slope, and the third air slope are integrated and calculated according to the proportional relationship between the first change period, the second change period, and the third change period to obtain the air data slope of different ambient air components for each type of factory equipment during operation.

[0020] Thirdly, this application provides an electronic device that adopts the following technical solution: At least one processor; Memory; At least one application, wherein the at least one application is stored in memory and configured to be executed by at least one processor, the at least one application being configured to: perform an online monitoring method for ambient air using a combination of optics and electrochemistry as described in any of the first aspects.

[0021] Fourthly, this application provides a computer-readable storage medium, which adopts the following technical solution: A computer-readable storage medium having a computer program stored thereon, which, when executed in a computer, causes the computer to perform an online ambient air monitoring method combining optics and electrochemistry, as described in any of the first aspects.

[0022] In summary, this application includes at least one of the following beneficial technical effects: By employing the aforementioned technical solution, ambient air samples are collected within a pre-defined area of ​​the factory, directly obtaining the original state information of the air in that area at the current time. Simultaneously, operational information for different equipment within the factory from the current time point to a pre-defined future time point is collected, providing crucial information for subsequent analysis. The operational status of different equipment directly affects air composition; for example, certain equipment may emit specific pollutants. Combining air samples with operational information allows for a comprehensive understanding of the factory's environmental status and potential influencing factors, laying the foundation for accurate monitoring of various gas components. This enables multi-dimensional and precise data collection of ambient air, providing a reliable basis for subsequent analysis. Based on the absorption characteristics of gas molecules to specific wavelengths of light, optical online monitoring of PM2.5, PM10, SO2, NO2, and O3 in ambient air samples is performed. Utilizing the unique physical properties of gases, the concentration of these gases can be quickly and accurately identified and measured. Optical monitoring has the advantages of fast response speed and high sensitivity, allowing for real-time acquisition of gas concentration data. Simultaneously, electrode redox monitoring of CO in ambient air samples is performed; electrochemical methods offer high selectivity and accuracy for CO detection. By combining optical and electrochemical monitoring, the advantages of both methods are fully utilized to achieve efficient and accurate monitoring of multiple key gases, yielding comprehensive and accurate optical and electrochemical gas monitoring results. Based on acquired factory operation information, ambient air quality changes are simulated using both optical and electrochemical gas monitoring results. Factory operation information reflects the operating status of equipment over a future period, and different equipment operations generate different pollutants, affecting air quality. Combining currently monitored gas concentration data with scientific models and algorithms, the changing trends of ambient air parameters over a future time period can be simulated. The simulated ambient air parameters are then assessed to determine if they meet preset air parameter standards. If not, it indicates a future problem with the factory's ambient air quality. At this point, environmental remediation information is generated based on air environment early warning information from the preset air parameter standards. This early warning information clarifies the remediation directions and measures corresponding to different exceedance situations. Sending the environmental remediation information to target terminals allows for timely notification of relevant personnel to take action. Based on the remediation information, relevant personnel adjust and optimize factory equipment operation and production processes to reduce pollutant emissions at the source, thereby effectively improving the factory's ambient air quality and preventing adverse effects of air quality deterioration on factory production and employee health. Attached Figure Description

[0023] Figure 1 This is a schematic flowchart of an online ambient air monitoring method combining optics and electrochemistry, provided as an embodiment of this application.

[0024] Figure 2 This is a schematic diagram of an online ambient air monitoring system that combines optics and electrochemistry, provided as an embodiment of this application.

[0025] Figure 3 This is a schematic diagram of the structure of an electronic device provided in an embodiment of this application. Detailed Implementation

[0026] The following is in conjunction with the appendix Figure 1-3 This application will be described in further detail.

[0027] This specific embodiment is merely an explanation of this application and is not intended to limit it. After reading this specification, those skilled in the art can make modifications to this embodiment without contributing any inventive step, but such modifications are protected by patent law as long as they are within the scope of this application.

[0028] To make the objectives, technical solutions, and advantages of the embodiments of this application clearer, the technical solutions of the embodiments of this application will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of this application, not all embodiments. Based on the embodiments of this application, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of this application.

[0029] Furthermore, the term "and / or" in this article is merely a description of the relationship between related objects, indicating that three relationships can exist. For example, A and / or B can represent: A existing alone, A and B existing simultaneously, or B existing alone. Additionally, the character " / " in this article, unless otherwise specified, generally indicates that the preceding and following related objects have an "or" relationship.

[0030] The embodiments of this application will now be described in further detail with reference to the accompanying drawings.

[0031] This application provides an online monitoring method for ambient air using a combination of optics and electrochemistry, executed by an electronic device. This electronic device can be a standalone physical electronic device, a cluster of multiple physical electronic devices, a distributed system, or a cloud electronic device providing cloud computing services. This application does not impose limitations on the specific implementation. Figure 1 As shown, the method includes: Step S10: Collect ambient air samples and factory operation information within the preset area of ​​the factory.

[0032] Among them, the factory operation information is the operation information corresponding to different equipment in the factory from the current time node to the future preset time node.

[0033] In the embodiments of this application, the factory preset area refers to a specific area within the factory pre-demarcated according to actual needs and monitoring objectives. This area can be a workshop, a work site, or a specific production process area, etc. An ambient air sample refers to a certain amount of air extracted from the factory preset area that represents the ambient air conditions of that area, containing various gaseous components, particulate matter, etc., within that area. Factory operation information refers to a collection of information used to represent the operating status of various equipment, production task arrangements, and other related information during the factory's production and operation process.

[0034] Specifically, for ambient air sample collection, multiple sampling points are first determined based on the factory layout and monitoring needs. An air sampler is installed at each sampling point, and after setting parameters such as sampling time and flow rate, the sampler is started to collect samples. After sampling is completed, the samples are collected into a dedicated sampling container. For factory operation information collection, data interface is established with the factory's production management system to directly obtain equipment operation data and production task information from the system, and then organize and store them.

[0035] Step S11: Based on the absorption characteristics of gas molecules to light of specific wavelengths, perform optical online monitoring of PM2.5, PM10, SO2, NO2, and O3 in ambient air samples to obtain optical gas monitoring results.

[0036] Specifically, tunable diode laser absorption spectroscopy (TDLAS) technology is employed. First, a suitable tunable diode laser is selected to emit light within a specific wavelength range that covers the absorption characteristics of the target gas molecules. Then, the emitted light is transmitted via optical fiber to the location of the ambient air sample, allowing the light to pass through the sample. Next, a photodetector receives the light after it has passed through the sample and converts it into an electrical signal. Finally, a signal processing system analyzes the electrical signal and calculates the concentrations of PM2.5, PM10, SO2, NO2, and O3 based on the absorption characteristics of the gas molecules, thus obtaining the optical gas monitoring results.

[0037] Step S12: Perform electrode redox monitoring on CO in ambient air samples, and determine the electrochemical gas monitoring results based on the redox monitoring results.

[0038] In this embodiment, a three-electrode electrochemical monitoring method is employed. First, a three-electrode monitoring cell containing a working electrode, a counter electrode, and a reference electrode is used. The working electrode is made of a material with specific catalytic activity, such as a platinum or gold electrode, to promote the redox reaction of gas molecules. Then, an ambient air sample is introduced into the monitoring cell, ensuring sufficient contact between the CO in the sample and the surface of the working electrode. Next, a certain voltage is applied to the electrode system using an electrochemical workstation, and the resulting current signal is measured. The electrochemical workstation records the change in current over time in real time. Finally, using a pre-established current-gas concentration standard curve, the concentration of CO in the sample is determined based on the measured current value, yielding the electrochemical gas monitoring result.

[0039] Step S13: Based on the factory operation information, perform an ambient air change prediction based on the optical gas monitoring results and the electrochemical gas monitoring results to obtain the ambient air parameters for the future time period.

[0040] In this embodiment, historical operational and environmental information of a pre-defined area of ​​the factory within a historical period is collected. Then, based on the historical environmental information, a first historical monitoring result and a second historical monitoring result are determined. The first historical monitoring result is the gas monitoring result obtained by using optical technology to monitor PM2.5, PM10, SO2, NO2, and O3 in the gaseous environment, and the second historical monitoring result is the gas monitoring result obtained by using electrochemical technology to monitor CO in the gaseous environment. Correlation curves are constructed using the first historical monitoring result, the second historical monitoring result, and the historical operational information to obtain an environmental dynamic curve. Based on the optical and electrochemical gas monitoring results, the environmental dynamic curve is truncated to obtain multiple dynamic curves. Based on these multiple dynamic curves and the factory operational information, environmental air quality is predicted and analyzed to obtain environmental air parameters for future time periods.

[0041] Specifically, an air dynamic coordinate system is created, with the X-axis representing different time points and the Y-axis representing ambient air parameter specifications under different factory operating conditions. The first and second historical monitoring results are respectively associated and bound to historical operating information to obtain the dynamic air parameters of each type of factory equipment under different operating conditions. These dynamic air parameters are then imported into the air dynamic coordinate system according to time points to obtain the corresponding environmental dynamic curves for each type of factory equipment under different operating conditions.

[0042] In this embodiment, since there are various gas parameters in the ambient air, the process of plotting the environmental dynamic curve involves taking any one factory piece of equipment as the main subject, monitoring the ambient air parameters of the equipment during production operations, and plotting each gas parameter on an air dynamic coordinate system to obtain the environmental dynamic curve. In other words, the resulting environmental dynamic curve is not just a single curve, but multiple curves represented by each gas parameter, capable of representing the ambient air parameters of each type of factory equipment under different operating conditions.

[0043] Specifically, the optical gas monitoring results are used as the first search condition to search the environmental dynamic curves, identifying the first gas nodes corresponding to the optical gas monitoring results. These first gas nodes are then used as curve intercept points, and the dynamic curves are intercepted according to the time series, resulting in multiple first dynamic curves. The electrochemical gas monitoring results are used as the second search condition to search the environmental dynamic curves, identifying the second gas nodes corresponding to the electrochemical gas monitoring results. These second gas nodes are then used as curve intercept points, and the dynamic curves are intercepted according to the time series, resulting in multiple second dynamic curves. Overlap detection is performed on the multiple first and second dynamic curves, and the curves that meet the overlap detection criteria are summarized to obtain multiple dynamic curves.

[0044] In this embodiment of the application, the overlap criterion is that the overlap rate between the first dynamic curve and the second dynamic curve is not less than 83%.

[0045] Specifically, based on factory operation information, the equipment operation plan for each type of factory equipment in the future time period is determined, and the equipment operation data for each type of factory equipment in the historical period is determined based on multiple dynamic curves. The operation data in the equipment operation plan is correlated and matched with the equipment operation data to determine the target dynamic curve that matches the equipment operation plan. Based on the target dynamic curve, the air data slope for different ambient air components during the operation of each type of factory equipment is determined, and the air data slope is supervised and predicted to obtain the predicted air slope for each type of factory equipment in the future time period. The optical gas monitoring results, electrochemical gas monitoring results, and the predicted air slope are imported into the air dynamic coordinate system for curve plotting to obtain the future dynamic curve. Air parameters are collected and extracted from the future dynamic curve at unit time nodes, and the collected air parameters are sorted according to the time series to obtain the ambient air parameters for the future time period.

[0046] In this embodiment, the slope of air data is processed based on the time series length and the factory equipment to obtain slope matrix data. Basic data distribution exploration is performed on the slope matrix data to obtain the relative periodicity of the slope corresponding to each factory equipment. The time period length is determined based on the relative periodicity of the slope, and supervised time series data processing is performed on the slope matrix data based on the time period length. The processed slope matrix data is then input into a preset model for slope data extrapolation to obtain the predicted air slope for each type of factory equipment in the future time period.

[0047] Specifically, each target dynamic curve is analyzed to determine whether there are any abnormal points in terms of increase or decrease. If so, these points are defined as interference points. Interference points are then numbered sequentially according to time, and the corresponding interference air data, initial air data corresponding to the initial point of the target dynamic curve, and termination air data corresponding to the termination point of the target dynamic curve are determined. Based on the adjacency characteristics between interference points and the interference air data, the first air data and the first change period between adjacent interference points are determined. Based on the initial air data and the interference air data corresponding to the first interference point, the second air data and the second change period are determined. Based on the termination air data and the interference air data corresponding to the Nth interference point, the third air data and the third change period are determined. The ratios of the first air data to the first change period, the second air data to the second change period, and the third air data to the third change period are calculated to obtain the first air slope corresponding to the first air data, the second air slope corresponding to the second air data, and the third air slope corresponding to the third air data. N is the total number of interference points. The first air slope, second air slope, and third air slope are integrated and calculated according to the proportional relationship of the first, second, and third change periods to obtain the air data slope of different ambient air components during the operation of each type of factory equipment.

[0048] Step S14: Determine whether the ambient air parameters meet the preset air parameter standards. If not, generate environmental rectification information based on the air environment early warning information in the preset air parameter standards, and send the environmental rectification information to the target terminal.

[0049] In this embodiment, the preset air parameter standard refers to a set of reference values ​​established in advance based on relevant environmental regulations, industry standards, and the factory's own production characteristics and environmental requirements to measure whether the ambient air quality is up to standard. This standard clarifies the permissible ranges for various ambient air parameters, such as stipulating that sulfur dioxide concentration must not exceed a certain value and particulate matter concentration must be controlled within a certain range, thus serving as the basis for judging the quality of ambient air. Air environment early warning information is pre-set in the preset air parameter standard and is a prompt message triggered when ambient air parameters exceed the normal range. It includes parameter thresholds corresponding to different warning levels and corresponding warning explanations. For example, a yellow warning is triggered when the sulfur dioxide concentration reaches a certain high value, indicating that the air quality has begun to deteriorate and requires attention and certain measures. Environmental rectification information is generated based on ambient air parameters that do not meet the preset air parameter standard, combined with the air environment early warning information. It is used to guide the specific content and requirements for rectifying environmental problems, including the environmental area requiring rectification, specific rectification measures (such as adding pollution treatment equipment, adjusting production processes, etc.), and the rectification deadline. A target terminal refers to a device or system capable of receiving environmental remediation information. These are typically terminal devices used by departments or personnel related to factory environmental management, such as computers in the factory's environmental protection department or mobile phones used by managers. Through these terminals, environmental remediation information can be obtained promptly, and corresponding actions can be taken. Example: If the preset air parameter standard stipulates that the sulfur dioxide concentration in a certain area of ​​the factory must not exceed 0.1 mg / m³, and the actual measured sulfur dioxide concentration is 0.15 mg / m³, an air quality warning is triggered. Based on this, the generated environmental remediation information might require the area to add sulfur dioxide treatment equipment within two weeks, and this information would be sent to the mobile phone of the person in charge of the factory's environmental protection department—the target terminal.

[0050] This application provides an online monitoring method for ambient air that combines optical and electrochemical methods. It collects ambient air samples and factory operation information within a pre-defined area of ​​a factory. The factory operation information covers the operational status of different equipment from the present to a pre-defined future time point. This provides comprehensive basic data for subsequent accurate monitoring and analysis. Based on the absorption characteristics of gas molecules to specific wavelengths of light, online optical monitoring of ambient air samples is performed. Utilizing the unique light absorption characteristics of gases, the types and approximate concentrations of various gases in the sample can be quickly and accurately identified, yielding optical gas monitoring results. After obtaining the optical gas monitoring results, electrode redox monitoring is performed on the ambient air samples. Electrode redox monitoring can reflect the electrochemical activity state of gas molecules from different perspectives. By monitoring and analyzing the redox process, key parameters such as the concentration of each gas in the sample can be further precisely determined, yielding electrochemical gas monitoring results. The electrochemical gas monitoring results and the optical gas monitoring results complement each other. Optical monitoring focuses on light absorption, while electrode redox monitoring focuses on chemical activity. The combination of the two makes the monitoring of gases in ambient air samples more comprehensive and accurate, greatly improving the reliability of the monitoring data. After obtaining the monitoring results for the first and electrochemical gases, an ambient air change simulation is performed based on the factory's operational information to obtain ambient air parameters for the future time period. Once the ambient air parameters for the future time period are obtained, it is determined whether they meet preset air parameter standards. These preset air parameter standards are set according to actual needs and are key indicators for ensuring the factory's environmental safety and quality. If the ambient air parameters do not meet the standards, environmental remediation information is generated based on the air environment early warning information in the standards. This process can promptly identify potential ambient air problems and propose targeted remedial measures. The environmental remediation information is sent to the target terminals to ensure that relevant personnel can obtain information and take action in a timely manner, effectively avoiding safety accidents or quality declines caused by ambient air problems and ensuring the stable operation of the factory.

[0051] The following describes an online ambient air monitoring system combining optical and electrochemical methods, as provided in the embodiments of this application. The online ambient air monitoring system described below corresponds to and can be referred to in conjunction with the online ambient air monitoring method combining optical and electrochemical methods described above. Figure 2 , Figure 2 This is a schematic diagram of the structure of an online ambient air monitoring system 20 combining optics and electrochemistry, as provided in an embodiment of this application, including: Information acquisition module 21 is used to collect ambient air samples and factory operation information within a preset area of ​​the factory. The factory operation information is the operation information of different equipment in the factory from the current time node to a future preset time node. The optical monitoring module 22 is used to perform online optical monitoring of PM2.5, PM10, SO2, NO2, and O3 in ambient air samples based on the absorption characteristics of gas molecules to light of specific wavelengths, and to obtain optical gas monitoring results. Electrochemical monitoring module 23 is used to perform electrode redox monitoring of CO in ambient air samples and determine the electrochemical gas monitoring results based on the redox monitoring results. The air simulation module 24 is used to perform an environmental air change simulation based on the optical gas monitoring results and electrochemical gas monitoring results of the factory operation information, and to obtain the environmental air parameters for the future time period. The rectification and early warning module 25 is used to determine whether the ambient air parameters meet the preset air parameter standards. If they do not meet the standards, it generates environmental rectification information based on the air environment early warning information in the preset air parameter standards and sends the environmental rectification information to the target terminal.

[0052] In one possible implementation of this application embodiment, when the air prediction module 24 performs an ambient air change prediction based on the optical gas monitoring results and electrochemical gas monitoring results according to factory operation information to obtain ambient air parameters for a future time period, it is specifically used for: Collect historical operational and environmental information of the factory's pre-defined area within a historical period; The first historical monitoring result and the second historical monitoring result are determined based on historical environmental information. The first historical monitoring result is the gas monitoring result obtained by using optical technology to monitor PM2.5, PM10, SO2, NO2 and O3 in the gaseous environment. The second historical monitoring result is the gas monitoring result obtained by using electrochemical technology to monitor CO in the gaseous environment. By constructing correlation curves between the first historical monitoring results, the second historical monitoring results, and historical operation information, an environmental dynamic curve is obtained. Based on the optical gas monitoring results and the electrochemical gas monitoring results, the environmental dynamic curve was truncated to obtain multiple dynamic curves; Based on multiple dynamic curves and factory operation information, the ambient air quality is predicted and analyzed to obtain ambient air parameters for future time periods.

[0053] In another possible implementation of this application embodiment, when the air pre-simulation module 24 constructs a correlation curve based on the first historical monitoring results, the second historical monitoring results, and historical operation information to obtain an environmental dynamic curve, it is specifically used for: Create an air dynamic coordinate system. The X-axis of the air dynamic coordinate system represents different time points, and the Y-axis of the historical air dynamic coordinate system represents the ambient air parameter specifications under different factory operating conditions. The first and second historical monitoring results are respectively associated and bound with historical operation information to obtain the dynamic air parameters of each factory equipment under different operation states in the historical operation information; By importing dynamic air parameters into the air dynamic coordinate system according to time nodes, the environmental dynamic curves corresponding to each type of factory equipment under different working conditions are obtained.

[0054] In another possible implementation of this application embodiment, when the air pre-simulation module 24 truncates the environmental dynamic curve based on the optical gas monitoring results and the electrochemical gas monitoring results to obtain multiple dynamic curves, it is specifically used for: The optical gas monitoring results are used as the first search condition to search the environmental dynamic curves. The first gas node corresponding to the optical gas monitoring results in the environmental dynamic curves is determined. The first gas node is used as the curve interception point. The dynamic curve is intercepted according to the time series to obtain multiple first dynamic curves. The electrochemical gas monitoring results are used as the second search condition to search the environmental dynamic curves, identify the second gas nodes in the environmental dynamic curves that correspond to the electrochemical gas monitoring results, and use the second gas nodes as curve interception points. Dynamic curves are intercepted according to the time series to obtain multiple second dynamic curves. Multiple first dynamic curves and multiple second dynamic curves are overlap detected, and the curves that meet the overlap detection results are summarized to obtain multiple dynamic curves.

[0055] In another possible implementation of this application embodiment, when the air prediction module 24 performs predictive analysis of ambient air based on multiple dynamic curves and factory operation information to obtain ambient air parameters for a future time period, it is specifically used for: Determine the equipment operation plan for each type of factory equipment in the future time period based on factory operation information; The equipment operation data for each type of factory equipment within a historical period is determined based on multiple dynamic curves; The operation data in the equipment operation plan is correlated and matched with the equipment operation data to determine the target dynamic curve that is compatible with the equipment operation plan; Determine the slope of air data for different ambient air compositions during the operation of each type of factory equipment based on the target dynamic curve; Supervised prediction of air data slope yields predicted air slope for each type of factory equipment over a future time period. The optical gas monitoring results, electrochemical gas monitoring results, and air prediction slope are imported into the air dynamic coordinate system to plot the curve and obtain the future dynamic curve. Air parameters are collected from the future dynamic curve at unit time points, and the collected air parameters are sorted according to the time series to obtain the ambient air parameters for the future time period.

[0056] In another possible implementation of this application embodiment, when the air prediction module 24 performs supervised prediction of the air data slope to obtain the air prediction slope for each type of factory equipment in the future time period, it is specifically used for: Based on the time series length and the slope of the air data from the factory equipment, a slope matrix data is obtained. By exploring the basic data distribution of the slope matrix data, the relative periodicity of the slope corresponding to each factory equipment was obtained; The time period length is determined based on the relative periodicity of the slope, and the slope matrix data is processed by supervised time series data based on the time period length. The processed slope matrix data is then input into a preset model to extrapolate the slope data and obtain the air prediction slope for each type of factory equipment in the future time period.

[0057] Another possible implementation in this application embodiment is that, when the air simulation module 24 determines the slope of air data for different ambient air components during the operation of each type of factory equipment based on the target dynamic curve, it is specifically used for: Determine whether there are any abnormal points of increase or decrease in the dynamic curve of each target. If so, define the abnormal points of increase or decrease as interference points. The interference points are numbered according to the time sequence, and the interference air data corresponding to each interference point, the initial air data corresponding to the initial point of the target dynamic curve, and the termination air data corresponding to the termination point of the target dynamic curve are determined. Based on the adjacency characteristics between interference points and the interference air data, determine the first air data and the first period of change between adjacent interference points; The second air data and the second period of change are determined based on the initial air data and the interfering air data corresponding to the first interference point. The third air data and the third change period are determined based on the terminated air data and the interfering air data corresponding to the Nth interference point. Calculate the ratio of the first air data to the first change period, the ratio of the second air data to the second change period, and the ratio of the third air data to the third change period, respectively, to obtain the first air slope corresponding to the first air data, the second air slope corresponding to the second air data, and the third air slope corresponding to the third air data. N is the total number of interference points. The first air slope, second air slope, and third air slope are integrated and calculated according to the proportional relationship of the first, second, and third change periods to obtain the air data slope of different ambient air components during the operation of each type of factory equipment.

[0058] This application provides an electronic device, such as... Figure 3 As shown, Figure 3 This is a schematic diagram of the structure of an electronic device provided in an embodiment of this application. Figure 3 The illustrated electronic device 300 includes a processor 301 and a memory 303. The processor 301 and the memory 303 are connected, for example, via a bus 302. Optionally, the electronic device 300 may also include a transceiver 304. It should be noted that in practical applications, the transceiver 304 is not limited to one type, and the structure of this electronic device 300 does not constitute a limitation on the embodiments of this application.

[0059] Processor 301 may be a CPU (Central Processing Unit), a general-purpose processor, a DSP (Digital Signal Processor), an ASIC (Application Specific Integrated Circuit), an FPGA (Field Programmable Gate Array), or other programmable logic devices, transistor logic devices, hardware components, or any combination thereof. It can implement or execute the various exemplary logic blocks, modules, and circuits described in connection with the embodiments of this application. Processor 301 may also be a combination that implements computing functions, such as including one or more microprocessor combinations, a combination of a DSP and a microprocessor, etc.

[0060] Bus 302 may include a pathway for transmitting information between the aforementioned components. Bus 302 may be a PCI (Peripheral Component Interconnect) bus or an EISA (Extended Industry Standard Architecture) bus, etc. Bus 302 can be divided into address bus, data bus, control bus, etc. For ease of representation, Figure 3 The bus is represented by a single thick line, but this does not mean that there is only one bus or one type of bus.

[0061] The memory 303 may be a ROM (Read-Only Memory) or other type of static storage device capable of storing static information and instructions, RAM (Random Access Memory) or other type of dynamic storage device capable of storing information and instructions, or it may be an EEPROM (Electrically Erasable Programmable Read-Only Memory), a CD-ROM (Compact Disc Read-Only Memory) or other optical disc storage, optical disc storage (including compressed optical discs, laser discs, optical discs, digital universal optical discs, Blu-ray discs, etc.), magnetic disk storage media or other magnetic storage devices, or any other medium capable of carrying or storing desired program code in the form of instructions or data structures and accessible by a computer, but not limited thereto.

[0062] The memory 303 is used to store application code that executes the scheme of the embodiments of this application, and its execution is controlled by the processor 301. The processor 301 is used to execute the application code stored in the memory 303 to implement the content shown in the foregoing method embodiments.

[0063] Among them, electronic devices include, but are not limited to: mobile terminals such as mobile phones, laptops, digital radio receivers, PDAs (personal digital assistants), PADs (tablet computers), PMPs (portable multimedia players), and in-vehicle terminals (such as in-vehicle navigation terminals), as well as fixed terminals such as digital TVs and desktop computers. Figure 3 The electronic device shown is merely an example and should not impose any limitation on the functionality and scope of use of the embodiments of this application.

[0064] The following describes a computer-readable storage medium provided by an embodiment of this application. The computer-readable storage medium described below can be referred to in correspondence with the method described above.

[0065] This application provides a computer-readable storage medium storing a computer program. When the computer program is executed by a processor, it implements the steps of the above-described optical and electrochemical combined online ambient air monitoring system.

[0066] Since the embodiments of the computer-readable storage medium portion correspond to the embodiments of the method portion, please refer to the description of the embodiments of the method portion for the embodiments of the computer-readable storage medium portion.

[0067] It should be understood that although the steps in the flowcharts of the accompanying figures are shown sequentially as indicated by the arrows, these steps are not necessarily executed in the order indicated by the arrows. Unless explicitly stated herein, there is no strict order restriction on the execution of these steps, and they can be executed in other orders. Moreover, at least some steps in the flowcharts of the accompanying figures may include multiple sub-steps or multiple stages. These sub-steps or stages are not necessarily completed at the same time, but can be executed at different times, and their execution order is not necessarily sequential, but can be performed alternately or in turn with other steps or at least some of the sub-steps or stages of other steps.

[0068] The above are only some embodiments of this application. It should be noted that for those skilled in the art, several improvements and modifications can be made without departing from the principle of this application, and these improvements and modifications should also be considered within the scope of protection of this application.

Claims

1. A method for online monitoring of ambient air using a combination of optics and electrochemistry, characterized in that, include: Collect ambient air samples and factory operation information within a preset area of ​​the factory. The factory operation information refers to the operation information of different equipment in the factory from the current time point to a future preset time point. Based on the absorption characteristics of gas molecules to light of specific wavelengths, optical online monitoring of PM2.5, PM10, SO2, NO2, and O3 in the ambient air sample was performed to obtain optical gas monitoring results. Electrode redox monitoring was performed on the CO in the ambient air sample, and the electrochemical gas monitoring results were determined based on the redox monitoring results. Based on the factory operation information, the ambient air change prediction is performed on the optical gas monitoring results and the electrochemical gas monitoring results to obtain the ambient air parameters for the future time period. Determine whether the ambient air parameters meet the preset air parameter standards. If not, generate environmental rectification information based on the air environment early warning information in the preset air parameter standards, and send the environmental rectification information to the target terminal.

2. The method for online monitoring of ambient air using a combination of optics and electrochemistry according to claim 1, characterized in that, The process of performing an ambient air change prediction based on the factory operation information, using the optical gas monitoring results and the electrochemical gas monitoring results, to obtain ambient air parameters for a future time period includes: Collect historical operational and environmental information of the factory's preset area within a historical period; The first historical monitoring result and the second historical monitoring result are determined based on historical environmental information. The first historical monitoring result is the gas monitoring result obtained by using optical technology to monitor PM2.5, PM10, SO2, NO2 and O3 in the gas environment. The second historical monitoring result is the gas monitoring result obtained by using electrochemical technology to monitor CO in the gas environment. A correlation curve is constructed by combining the first historical monitoring results, the second historical monitoring results, and the historical operation information to obtain an environmental dynamic curve; Based on the optical gas monitoring results and the electrochemical gas monitoring results, the environmental dynamic curve is truncated to obtain multiple dynamic curves; Based on the multiple dynamic curves and the factory operation information, the ambient air is predicted and analyzed to obtain the ambient air parameters for the future time period.

3. The method for online monitoring of ambient air using a combination of optics and electrochemistry according to claim 2, characterized in that, The step of constructing a correlation curve based on the first historical monitoring results, the second historical monitoring results, and the historical operation information to obtain an environmental dynamic curve includes: Create an air dynamic coordinate system, where the X-axis represents different time points and the Y-axis represents the ambient air parameter specifications under different factory operating conditions. The first historical monitoring result and the second historical monitoring result are respectively associated and bound with the historical operation information to obtain the dynamic air parameters of each factory equipment in the historical operation information under different operation states; The dynamic air parameters are imported into the air dynamic coordinate system according to time nodes to obtain the environmental dynamic curves corresponding to each type of factory equipment under different working conditions.

4. The method for online monitoring of ambient air using a combination of optics and electrochemistry according to claim 3, characterized in that, The environmental dynamic curve is truncated based on the optical gas monitoring results and the electrochemical gas monitoring results to obtain multiple dynamic curves, including: The optical gas monitoring results are used as the first search condition to search the environmental dynamic curve, and the first gas node corresponding to the optical gas monitoring results in the environmental dynamic curve is determined. The first gas node is used as the curve interception point, and the dynamic curve is intercepted according to the time series to obtain multiple first dynamic curves. The electrochemical gas monitoring results are used as the second search condition to search the environmental dynamic curve, and the second gas node corresponding to the electrochemical gas monitoring results in the environmental dynamic curve is determined. The second gas node is used as the curve interception point, and the dynamic curve is intercepted according to the time series to obtain multiple second dynamic curves. Overlap detection is performed on the plurality of first dynamic curves and the plurality of second dynamic curves, and the curves that meet the overlap detection results are summarized to obtain a plurality of dynamic curves.

5. The method for online monitoring of ambient air using a combination of optics and electrochemistry according to claim 3, characterized in that, The prediction and analysis of ambient air based on the multiple dynamic curves and the factory operation information to obtain ambient air parameters for a future time period includes: Based on the factory operation information, determine the equipment operation plan for each type of factory equipment in the future time period; Based on the multiple dynamic curves, determine the equipment operation data of each type of factory equipment within the historical period; The operation data in the equipment operation plan is correlated and matched with the equipment operation data to determine the target dynamic curve that is compatible with the equipment operation plan; Based on the target dynamic curve, determine the slope of air data for different ambient air compositions during the operation of each type of factory equipment; Supervised prediction is performed on the air data slope to obtain the predicted air slope for each type of factory equipment in the future time period; The optical gas monitoring results, the electrochemical gas monitoring results, and the air prediction slope are imported into the air dynamic coordinates to plot curves and obtain the future dynamic curve. Air parameters are collected from the future dynamic curve at unit time points, and the collected air parameters are sorted according to the time series to obtain the ambient air parameters for the future time period.

6. The method for online monitoring of ambient air using a combination of optics and electrochemistry according to claim 5, characterized in that, The supervised prediction of the air data slope to obtain the predicted air slope for each type of factory equipment in the future time period includes: Based on the time series length and the slope of the air data from the factory equipment, a slope matrix data is obtained. By performing basic data distribution exploration on the slope matrix data, the relative periodicity of the slope corresponding to each factory equipment is obtained; The time period length is determined based on the relative periodicity of the slope, and the slope matrix data is processed by supervised time series data based on the time period length. The processed slope matrix data is then input into a preset model to perform slope data extrapolation, thereby obtaining the air prediction slope for each type of factory equipment in the future time period.

7. The method for online monitoring of ambient air using a combination of optics and electrochemistry according to claim 5, characterized in that, The step of determining the slope of air data for different ambient air compositions during the operation of each type of factory equipment based on the target dynamic curve includes: Determine whether there is an abnormal point of increase or decrease in each target dynamic curve. If so, define the abnormal point of increase or decrease as an interference point. The interference points are numbered according to time sequence, and the interference air data corresponding to each interference point, the initial air data corresponding to the initial point of the target dynamic curve, and the termination air data corresponding to the termination point of the target dynamic curve are determined. Based on the adjacency characteristics between interference points and the interference air data, determine the first air data and the first period of change between adjacent interference points; The second air data and the second change period are determined based on the initial air data and the interfering air data corresponding to the first interference point. The third air data and the third change period are determined based on the terminated air data and the interference air data corresponding to the Nth interference point. Calculate the ratio of the first air data to the first change period, the ratio of the second air data to the second change period, and the ratio of the third air data to the third change period, respectively, to obtain the first air slope corresponding to the first air data, the second air slope corresponding to the second air data, and the third air slope corresponding to the third air data, where N is the total number of interference points; The first air slope, the second air slope, and the third air slope are integrated and calculated according to the proportional relationship between the first change period, the second change period, and the third change period to obtain the air data slope of different ambient air components for each type of factory equipment during operation.

8. An online ambient air monitoring system combining optics and electrochemistry, characterized in that, include: The information acquisition module is used to collect ambient air samples and factory operation information within a preset area of ​​the factory. The factory operation information is the operation information of different equipment in the factory from the current time node to a future preset time node. An optical monitoring module is used to perform online optical monitoring of PM2.5, PM10, SO2, NO2, and O3 in the ambient air sample based on the absorption characteristics of gas molecules to light of specific wavelengths, and to obtain optical gas monitoring results. An electrochemical monitoring module is used to perform electrode redox monitoring of CO in the ambient air sample and to determine the electrochemical gas monitoring results based on the redox monitoring results. An air simulation module is used to perform an environmental air change simulation based on the factory operation information, the optical gas monitoring results and the electrochemical gas monitoring results, and obtain the environmental air parameters for a future time period. The rectification and early warning module is used to determine whether the ambient air parameters meet the preset air parameter standards. If they do not meet the standards, environmental rectification information is generated based on the air environment early warning information in the preset air parameter standards, and the environmental rectification information is sent to the target terminal.

9. An electronic device, characterized in that, The electronic device includes: At least one processor; Memory; At least one application, wherein the at least one application is stored in memory and configured to be executed by at least one processor, the at least one application being configured to: perform an online monitoring method for ambient air combining optics and electrochemistry as described in any one of claims 1-7.

10. A computer-readable storage medium, characterized in that, include: The computer program is stored and can be loaded by a processor and executed as described in any one of claims 1-7, which is an online monitoring method for ambient air using a combination of optics and electrochemistry.

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