CN112560296B - Method and system for judging control factors for generating ozone and electronic equipment - Google Patents
Method and system for judging control factors for generating ozone and electronic equipment Download PDFInfo
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Abstract
One or more embodiments of the specification disclose a method, a system and an electronic device for determining a control factor for generating ozone. The method for judging the control factor for generating ozone comprises the following steps: automatically acquiring the moment concentration of ozone and the moment concentration of an ozone precursor in each monitoring subarea in a monitoring area in a concerned time period in real time based on a monitoring grid; determining a time point of interest for each of the monitoring sub-zones for the maximum moment of ozone concentration occurring within the time period of interest; adopting the maximum moment concentration of ozone in a plurality of monitoring sub-areas in the monitoring area in a concerned time period and the moment concentration of the ozone precursor corresponding to the concerned time point to draw an EKMA curve; and judging the geographical control area corresponding to the control factor for generating the ozone in the monitoring area based on the EKMA curve, so that the control factor for generating the ozone can be accurately predicted in real time, and the operation process is simplified.
Description
Technical Field
The present invention relates to the field of environmental monitoring technologies, and in particular, to a method and a system for determining a control factor for generating ozone, and an electronic device.
Background
With the promotion of air pollution abatement, PM in the atmosphere2.5And the total suspended particulate matter TSP (total suspended particulate matter) can be treated with initial effect. However, in recent years, the ozone concentration on the near-ground surface tends to rise slowly, and the center of gravity of air pollution treatment is gradually shifted to ozone pollution treatment. Ozone O3Most of the oxygen is accumulated in the atmosphere stratosphere, and the oxygen in the troposphere accounts for only about 10 percent if the oxygen in the troposphere3Once the excessive amount is exceeded, the harm will be generated to human animals and plants. For ozone pollution treatment, firstly, two types of precursors for generating ozone are required to be prevented and controlled, including nitrogen oxide NOXAnd Volatile Organic Compounds (VOC)SWherein the nitrogen oxides include NO and NO2. Therefore, the control factors for ozone generation in a certain area need to be distinguished when treating ozone emission in a certain area, and the control factors for ozone generation in different areas may be different.
The method has the problems that the ozone Emission condition of a certain area is generally judged by adopting the atmospheric ozone generation sensitivity, and the monitoring data is mainly acquired based on an Observation Model OBM (English full name: Observation-based Model) and an Emission source Model EBM (English full name: Emission-base Model) at present. However, the satellite data adopted by the two models has low resolution and precision, and the distribution of pollution sources in different areas and the actual ozone emission situation are difficult to accurately predict. In addition, an ozone isoconcentration curve EKMA (Empirical chemical Modeling Approach) for atmospheric ozone sensitivity analysis is used for describing the dynamic principle of the whole atmospheric chemical reaction system by using an atmospheric chemical reaction mode, the chemical mechanism is complex, the data required by the atmospheric chemical reaction mode are too numerous, such as temperature, solar radiation, pressure, water vapor and the like, and high-precision simulation prediction analysis is difficult to perform. How to accurately predict the control factors for generating ozone in real time and simplify the operation process becomes a technical problem which needs to be solved urgently.
Disclosure of Invention
An object of one or more embodiments of the present specification is to provide a method, a system, and an electronic device for determining a control factor for generating ozone, which can accurately predict the control factor for generating ozone in real time and simplify an operation process.
To solve the above technical problem, one or more embodiments of the present specification are implemented as follows:
in a first aspect, a method for determining a control factor for generating ozone is provided, comprising: automatically acquiring the moment concentration of ozone and the moment concentration of an ozone precursor in each monitoring subarea in a monitoring area in a concerned time period in real time based on a monitoring grid; determining a time point of interest for each of the monitoring sub-zones for the maximum moment of ozone concentration occurring within the time period of interest; adopting the maximum moment concentration of ozone in a plurality of monitoring sub-areas in the monitoring area in a concerned time period and the moment concentration of the ozone precursor corresponding to the concerned time point to draw an EKMA curve; and judging a geographical control area corresponding to the control factor for generating ozone in the monitoring area based on the EKMA curve.
In a second aspect, a system for determining a control factor for generating ozone is provided, comprising: the concentration monitoring equipment is used for automatically acquiring the moment concentration of ozone and the moment concentration of an ozone precursor in each monitoring subarea in the monitoring area in a concerned time period in real time based on the monitoring grids; the concerned time period determining module is used for determining a concerned time point of the maximum ozone occurrence time concentration of each monitoring subarea in the concerned time period; the EKMA curve drawing module is used for drawing an EKMA curve by adopting the maximum moment concentration of ozone in a plurality of monitoring sub-areas in a concerned time period and the moment concentration of the ozone precursor corresponding to the concerned time point; and the geographic control area judging module is used for judging the geographic control area corresponding to the control factor for generating the ozone in the monitoring area based on the EKMA curve.
In a third aspect, an electronic device is provided, including: a processor; and a memory arranged to store computer executable instructions that, when executed, cause the processor to perform a method of determining a control factor for ozone generation as described above.
In a fourth aspect, a storage medium is provided that stores one or more programs that, when executed by an electronic device including a plurality of application programs, cause the electronic device to perform the method for determining a control factor for generating ozone as described above.
As can be seen from the technical solutions provided in one or more embodiments of the present specification, the method for determining the control factor for generating ozone provided in the present application can automatically acquire the time concentration of the ozone precursor and the time concentration of ozone in each monitoring sub-area corresponding to the monitoring grid in real time, and then draw an EKMA curve based on the maximum time concentration of the ozone precursor in all monitoring sub-areas in the monitoring area at the time point of interest and the time concentration of the ozone precursor at the time point of interest, so as to obtain the geographical control area in which the control factor for generating ozone in the monitoring area is located. The method for judging the control factors for generating the ozone can accurately predict the control factors for generating the ozone in real time and simplify the operation process.
Drawings
In order to more clearly illustrate one or more embodiments or prior art solutions of the present specification, reference will now be made briefly to the attached drawings, which are needed in the description of one or more embodiments or prior art, and it should be apparent that the drawings in the description below are only some of the embodiments described in the specification, and that other drawings may be obtained by those skilled in the art without inventive exercise.
FIG. 1 is a schematic diagram of the steps of a method for determining a control factor for generating ozone according to an embodiment of the present disclosure.
FIG. 2 is a schematic diagram illustrating an EKMA curve in another method for determining a control factor for ozone generation provided in the examples herein.
FIG. 3 is a schematic diagram of the steps of another method for determining the control factors for generating ozone provided in the embodiments of the present disclosure.
FIG. 4 is a schematic diagram of the steps of another method for determining the control factors for generating ozone provided in the embodiments of the present disclosure.
FIG. 5 is a schematic step diagram of another method for determining a control factor for generating ozone according to the embodiments of the present disclosure.
FIG. 6 is a schematic diagram of another method for determining ozone-generating controlling factors, in which the controlling zones for ozone-generating controlling factors in the monitored zones are determined based on EKMA curves.
FIG. 7 is a schematic structural diagram of a system for determining a control factor for generating ozone according to an embodiment of the present disclosure.
Fig. 8 is a schematic structural diagram of another control factor judgment system for ozone generation provided in the embodiments of the present specification.
Fig. 9 is a schematic structural diagram of an electronic device provided in an embodiment of the present specification.
Detailed Description
In order to make the technical solutions in the present specification better understood, the technical solutions in one or more embodiments of the present specification will be clearly and completely described below with reference to the accompanying drawings in one or more embodiments of the present specification, and it is obvious that the one or more embodiments described are only a part of the embodiments of the present specification, and not all embodiments. All other embodiments that can be derived by a person skilled in the art from one or more of the embodiments described herein without making any inventive step shall fall within the scope of protection of this document.
The method for judging the control factors for generating the ozone provided by the embodiment of the specification can accurately predict the control factors for generating the ozone in real time and simplify the operation process. The method for judging the control factors for generating ozone and the steps thereof provided by the embodiments of the present invention will be described in detail below.
Example one
Referring to fig. 1, a schematic step diagram of a method for determining a control factor for generating ozone provided in an embodiment of the present disclosure is shown. The method for judging the control factor for generating ozone comprises the following steps:
step 10: automatically acquiring the moment concentration of ozone and the moment concentration of an ozone precursor in each monitoring subarea in a monitoring area in a concerned time period in real time based on a monitoring grid;
the observation data adopted by the judgment method aiming at the control factors for generating ozone at present is satellite data, and the resolution ratio of the satellite data is not high, so that the spatial distribution precision of the observation data is not high, which can influence the simulation O3The accuracy of the method is difficult to accurately predict the distribution of pollution sources and the actual situation of ozone emission in different regions. The method for judging the control factors for generating the ozone automatically acquires the time concentration of the ozone precursor and the time concentration of the ozone in the concerned time period of each monitoring subarea in the monitoring area in real time based on the monitoring grids, and acquires the observation data with high precision and high density. The monitoring grids are used for carrying out grid division on a monitoring area, and each monitoring grid is a monitoring subarea.
The time concentration of the ozone precursor and the time concentration of the ozone in each monitoring subarea are automatically obtained in real time, and the method can be understood as automatically and continuously monitoring the concentration of the monitoring subarea, wherein the collected concentration is the time concentration. The temporal concentration of the ozone precursor and the temporal concentration of ozone can be continuously monitored for each monitored sub-zone. The time period of interest here may be an arbitrarily set time period such as a day or a week.
Here, the ozone precursorIncluding VOCs and NOXIn which NOXIncluding NO and NO2Other substances having an effect on the generation of ozone may be included, and are not limited herein.
Step 20: determining a time point of interest for each of the monitoring sub-zones for the maximum moment of ozone concentration occurring within the time period of interest;
the time period of interest is selected and may be one day. And selecting a concerned time point corresponding to the maximum moment concentration of the ozone appearing in each monitoring subarea in the concerned time period. Such as monitoring the maximum moment of ozone concentration at 14 pm on the day. The observation data mainly used next is the observation data of each monitoring subarea in the monitoring area in the concerned time period to draw an EKMA curve of the monitoring area on the detection day. The time point of interest at which the maximum moment concentration of ozone is reached in each monitoring sub-zone may be different.
Step 30: adopting the maximum moment concentration of ozone in a plurality of monitoring sub-areas in the monitoring area in a concerned time period and the moment concentration of the ozone precursor corresponding to the concerned time point to draw an EKMA curve;
and (3) adopting the maximum moment concentration of the ozone in the same concerned time period of a plurality of monitoring subareas in the monitoring area and the moment concentration of the ozone precursor corresponding to the time point at which the maximum moment concentration of the ozone in the concerned time period is reached to draw an EKMA curve. The abscissa and ordinate of the EKMA curve represent the temporal concentration of the ozone precursor. The plurality of monitoring sub-zones here may be all monitoring sub-zones in the monitoring area.
EKMA curves pass NO at different time concentrations without photochemical reactionXAnd VOC, calculating the contour line of the maximum ozone concentration at the moment. EKMA Curve illustrating VOCs and NOXImportance for ozone control and precursor ratio VOCs/NOXHow to affect the generation of ozone. Referring to FIG. 2, the curves are shown connected by bumps (VOCs/NO)XRatio of 8) forms the ridge of the EKMA curve, which divides the EKMA curve into two parts, respectively, the ozone-generating VOCs sensitive zone and NOXA sensitive area. When VOCs/NOXAt lower ratios (approximately in the range of 4-8), NOXReaction with OH free radicals is dominant, ozone generation is in VOCs sensitive region, and VOCs and NO are reducedXAnd maintain VOCs/NOXThe ratio of (A) is unchanged, the concentration of ozone is reduced; when VOCs/NOXAt very low ratios (less than 4), the NO is reducedXThe concentration instead increases the ozone concentration.
Step 40: and judging the geographical control area corresponding to the control factor for generating ozone in the monitoring area based on the EKMA curve.
Ozone O3Is a secondary pollutant, ozone precursor VOCs and NO x The time of concentration of (A) can influence O3Thus determining O3The relation between the precursor is defined as3The key to the control strategy is. O is3With VOCs, NO x Is not a simple linear relationship, but rather generates O3Time to VOCs and NO x Different sensitivity, or called O formation3Controlled by VOCs or NO x And (5) controlling. It can be seen that both the precursors VOCs and NOx are controlling factors in the generation of ozone.
The EKMA curve can judge that different areas are generated for O3For VOCs and NO x Is different in sensitivity, i.e., it can be judged that O is generated3Controlled by VOCs or NO x The geographic regions to which the controls correspond are different.
Referring to fig. 3, in some embodiments, the method for determining the control factors for generating ozone according to embodiments of the present invention includes determining the control factors for generating ozone from ozone precursors including VOCs and NOXThe time concentration of the ozone precursor comprises the time concentration of VOCs and NOXTime-point concentration, step 30: the method comprises the following steps of adopting the maximum moment concentration of ozone in a plurality of monitoring sub-areas in a monitoring area in a concerned time period and the moment concentration of a precursor corresponding to the concerned time point to draw an EKMA curve, and specifically comprising the following steps:
step 300: calculating the ratio of the precursor of the monitoring sub-area, wherein the ratio of the precursor is VOCs time concentration/NO of the point of interest in the time period of interestXThe time concentration;
calculating the ratio of the precursor of the monitoring sub-area, wherein the ratio of the precursor is VOCs time concentration/NO of the point of interest in the time period of interestXThe time concentration and EKMA curve can be drawn only by the VOCs time concentration and NO of the time point of interest of each monitoring subarea in the time period of interestXTime concentration and maximum time concentration of ozone.
Step 310: determining a ridge of the EKMA curve based on the precursor ratio of the monitored sub-zone;
after obtaining the precursor ratios of the monitored sub-zones in the monitored zone, such as the precursor ratios of all the monitored sub-zones, the location of the ridge of the EKMA curve is determined based on the precursor ratios of the monitored sub-zones, such as the precursor ratios of all the monitored sub-zones. Determining the ozone generation sensitivity by adopting the ratio of the precursor, reflecting the position of the ridge line of the ozone concentration curve, and respectively pointing out the VOCs time concentration/NO of all monitoring sub-areas at the concerned time point in the EKMA curve chartXAnd the points of the moment concentration are respectively connected in sequence from the original point to obtain the positions of the ridge lines.
Step 320: VOCs (volatile organic compounds) time concentration and NO (nitric oxide) based on time points of interest of monitoring subareas in time periods of interestXTime-of-day concentration and maximum time-of-day concentration of ozone the portion of the EKMA curve other than the ridge line was plotted.
After determining the ridge of the EKMA curve, the VOCs time-point concentration, NO of the monitoring subareas in the monitoring area, such as all monitoring subareas, at the time point of interest in the time period of interest is usedXAn EKMA curve is drawn according to the time concentration and the maximum time concentration of ozone, and three concentration values (VOCs time concentration, NO) of the concerned time point in the concerned time period of each monitoring subareaXTime concentration and maximum time concentration of ozone) in an EKMA curve, wherein three values have three corresponding scatter points in a coordinate system, the scatter points are connected into a plurality of ozone contour lines by applying methods such as logistic regression, interpolation and the like and are drawn in an EKMA curve graph, and the maximum time concentration of the ozone is embodied in the EKMA curve graph in the form of the contour lines.
Referring to fig. 4, in some embodiments, the method for determining the control factor for generating ozone according to the embodiments of the present invention includes the following steps: the method comprises the following steps of judging a geographical control area corresponding to a control factor for generating ozone in a monitoring area based on an EKMA curve, and specifically comprises the following steps:
step 400: determining a control factor for ozone generation based on the EKMA curve;
as shown in fig. 6, the EKMA graph is controlled by different control factors on both sides of the ridge line, the VOC control area is on the left side, and the monitoring sub-area corresponding to the data point in the VOC control area is the VOC control area. The right side of the ridge line is a NOx control region, and the monitoring sub-region corresponding to the data point of the NOx control region is the NOx control region.
Step 410: determining a distribution area of the control factors in the EKMA curve;
the distribution zones may include a VOC control zone, a NOx control zone, and a coordinated control zone, with different distribution zones controlled by corresponding control factors when generating ozone, i.e., different distribution zones having different sensitivities to different precursors when generating ozone.
Step 420: determining the moment concentration of the ozone precursor in the distribution region and a monitoring sub-region where the maximum moment concentration of the ozone is located;
and according to the monitoring subarea where the moment concentration of the ozone precursor and the maximum moment concentration of the ozone are located in the distribution area, dividing different monitoring subareas into different geographical control areas based on the previously determined distribution area.
Step 430: and determining the corresponding geographic control area of the control factors in the monitored area based on the monitored subareas.
Therefore, all monitoring subareas in the monitoring area are divided into different geographical control areas, and the geographical control areas can comprise VOCs geographical control areas and NO of corresponding distribution area typesXA geographical control area and a coordinated control area.
Referring to FIG. 5, in some embodiments, step 10: the method for judging the control factors for generating ozone provided by the embodiment of the invention comprises the following steps of automatically acquiring the time concentration of the ozone precursor and the time concentration of ozone in each monitoring sub-area in the monitoring area in real time based on the monitoring grid, wherein the time concentration of the ozone precursor and the time concentration of the ozone are acquired in real time:
step 60: dividing a monitoring area into a plurality of monitoring grids, wherein the area of each monitoring grid is not more than 1000m multiplied by 1000m, and each monitoring grid corresponds to a monitoring subarea;
and monitoring equipment is arranged in the monitoring area in a gridding manner, and the monitoring equipment can monitor the moment concentration of the ozone precursor and the moment concentration of the ozone in the monitoring sub-area in real time. The area of each monitoring grid, i.e. monitoring sub-area, is not more than 1000m x 1000m, such as 500m x 500m, which allows a high density of arrangement of monitoring devices in the monitored area.
Step 70: and a monitoring device is arranged in each monitoring subarea and used for acquiring the moment concentration of the ozone precursor and the moment concentration of the ozone in the monitoring subarea.
After the monitoring area is divided into a plurality of monitoring grids, monitoring equipment is arranged in each monitoring subarea, and the monitoring equipment can obtain the moment concentration of the ozone precursor and the moment concentration of the ozone in the monitoring subarea.
The following EKMA graph is provided in connection with FIG. 6 to illustrate the determination method of the control factors for generating ozone provided by the embodiment of the present invention.
Suppose that the maximum concentration of ozone for the monitoring devices in each monitoring sub-zone of a monitoring grid in a certain area is 15:00 pm, i.e. the time point of interest for the maximum moment concentration of ozone is 15:00, the day of ozone is the time period of interest described above, which is the time of day.
The time concentration of VOCs and NOx at 15:00 of the day is used as the initial concentration before photochemical reaction, the maximum time concentration of ozone generated in the day (namely the time concentration of 15: 00) is used as the concentration after the reaction, the scatter point which is uniquely corresponding to each monitoring device in an EKMA curve is obtained, and the scatter points are connected into a plurality of ozone contour lines by using methods such as logistic regression, interpolation and the like, namely the EKMA curve is obtained. It can be seen that in the VOC control region of the EKMA curve, the ozone concentration at time increases with increasing VOC concentration at time; in NOXControl zone, ozone concentration is constantly dependent on NOXThe concentration increases at that time.
By the technical scheme, after the judgment method for the control factor for generating ozone can automatically acquire the time concentration of the ozone precursor and the time concentration of ozone in each monitoring sub-area corresponding to the monitoring grid in real time, an EKMA curve is drawn based on the maximum time concentration of the ozone precursor in all the monitoring sub-areas in the monitoring area at the concerned time point and the time concentration of the ozone precursor at the concerned time point, so that the geographical control area of the monitoring area for the control factor for generating ozone is obtained. The method for judging the control factors for generating the ozone can accurately predict the control factors for generating the ozone in real time and simplify the operation process.
Example two
Referring to fig. 7, there is provided a control factor judging system 1 for generating ozone according to the embodiment of the present disclosure. The judgment system 1 can accurately predict the control factors for generating ozone and simplify the operation process. The system 1 for judging the control factor for generating ozone includes:
the concentration monitoring equipment 10 is used for automatically acquiring the moment concentration of ozone and the moment concentration of an ozone precursor in a concerned time period of each monitoring subarea in a monitoring area in real time based on a monitoring grid;
the observation data adopted by the judgment method aiming at the control factors for generating ozone at present is satellite data, and the resolution ratio of the satellite data is not high, so that the spatial distribution precision of the observation data is not high, which can influence the simulation O3The accuracy of the method is difficult to accurately predict the distribution of pollution sources and the actual situation of ozone emission in different regions. The method for judging the control factors for generating the ozone automatically acquires the time concentration of the ozone precursor and the time concentration of the ozone in the concerned time period of each monitoring subarea in the monitoring area in real time based on the monitoring grids, and acquires the observation data with high precision and high density. The monitoring grids are used for carrying out grid division on a monitoring area, and each monitoring grid is a monitoring subarea.
The time concentration of the ozone precursor and the time concentration of the ozone in each monitoring subarea are automatically obtained in real time, and the method can be understood as automatically and continuously monitoring the concentration of the monitoring subarea, wherein the collected concentration is the time concentration. The temporal concentration of the ozone precursor and the temporal concentration of ozone can be continuously monitored for each monitored sub-zone. The time period of interest here may be an arbitrarily set time period such as a day or a week.
It is noted that the ozone precursor herein includes VOCs and NOXIn which NOXIncluding NO and NO2Other substances having an effect on the generation of ozone may be included, and are not limited herein.
A time period of interest determining module 20, configured to determine a time point of interest of a maximum moment concentration of the ozone occurring in each of the monitoring sub-regions in the time period of interest;
the time period of interest is selected and may be one day. And selecting a concerned time point corresponding to the maximum moment concentration of the ozone appearing in each monitoring subarea in the concerned time period. Such as monitoring the maximum moment of ozone concentration at 14 pm on the day. The observation data mainly used next is the observation data of each monitoring subarea in the monitoring area in the concerned time period to draw an EKMA curve of the monitoring area on the detection day. The time point of interest at which the maximum moment concentration of ozone is reached in each monitoring sub-zone may be different.
An EKMA curve drawing module 30, configured to draw an EKMA curve by using the maximum time concentrations of ozone in the time period of interest in the multiple monitoring sub-zones in the monitoring area and the time concentrations of the ozone precursor corresponding to the time point of interest;
and (3) adopting the maximum moment concentration of the ozone in the same concerned time period of a plurality of monitoring subareas in the monitoring area and the moment concentration of the precursor corresponding to the time point at which the maximum moment concentration of the ozone in the concerned time period is reached to draw an EKMA curve. The abscissa and ordinate of the EKMA curve represent the temporal concentration of the ozone precursor.
EKMA curves pass NO at different time concentrations without photochemical reactionXAnd VOC, calculating the contour line of the maximum ozone concentration at the moment. EKMA Curve illustrating VOCs and NOXImportance for ozone control and precursor ratio VOCs/NOXHow to affect the generation of ozone. Referring to FIG. 2, the curves are shown connected by bumps (VOCs/NO)XRatio of 8) forms the ridge of the EKMA curve, which divides the EKMA curve into two parts, respectively, the ozone-generating VOCs sensitive zone and NOXA sensitive area. When VOCs/NOXAt lower ratios (approximately in the range of 4-8), NOXReaction with OH free radicals is dominant, ozone generation is in VOCs sensitive region, and VOCs and NO are reducedXAnd maintain VOCs/NOXThe ratio of (A) is unchanged, the concentration of ozone is reduced; when VOCs/NOXAt very low ratios (less than 4), the NO is reducedXThe concentration instead increases the ozone concentration.
And the geographic control area judging module 40 is used for judging the geographic control area corresponding to the control factor for generating the ozone in the monitoring area based on the EKMA curve.
Ozone O3Is a secondary pollutant, ozone precursor VOCs and NO x The time of concentration of (A) can influence O3Thus determining O3The relation between the precursor is defined as3The key to the control strategy is. O is3With VOCs, NO x Is not a simple linear relationship, but rather generates O3Time to VOCs and NO x Different sensitivity, or called O formation3Controlled by VOCs or NO x And (5) controlling. It can be seen that both the precursors VOCs and NOx are controlling factors in the generation of ozone.
The EKMA curve can judge that different areas are generated for O3For VOCs and NO x Is different in sensitivity, i.e., it can be judged that O is generated3Controlled by VOCs or NO x The geographic regions to which the controls correspond are different.
In some embodiments, the present invention provides a system for determining control factors for generating ozone, wherein the ozone precursor includes VOCs and NOXThe time concentration of the ozone precursor comprises the time concentration of VOCs and NOXTime-of-day concentration, EKMA curve plotting module 30, further configured to:
calculating the precursor ratio of the monitoring sub-regionThe value, precursor ratio, is the VOCs time concentration/NO at the point in time of interest within the time period of interestXThe time concentration;
calculating the precursor ratio of the monitoring sub-area, such as the precursor ratios of all the monitoring sub-areas, wherein the precursor ratio is VOCs time concentration/NO of the concerned time point in the concerned time periodXThe time concentration and EKMA curve can be drawn only by the VOCs time concentration and NO of the time point of interest of each monitoring subarea in the time period of interestXTime concentration and maximum time concentration of ozone.
Determining a ridge of the EKMA curve based on the precursor ratio of the monitored sub-zone;
after obtaining the precursor ratios for the monitor sub-zones, such as all of the monitor sub-zones, in the monitoring region, the location of the ridge of the EKMA curve is determined based on the precursor ratios for the monitor sub-zones, such as all of the monitor sub-zones. Determining the ozone generation sensitivity by adopting the ratio of the precursor, reflecting the position of the ridge line of the ozone concentration curve, and respectively pointing out the VOCs time concentration/NO of all monitoring sub-areas at the concerned time point in the EKMA curve chartXAnd the points of the moment concentration are respectively connected in sequence from the original point to obtain the positions of the ridge lines.
VOCs (volatile organic compounds) time concentration and NO (nitric oxide) based on time points of interest of monitoring subareas in time periods of interestXTime-of-day concentration and maximum time-of-day concentration of ozone the portion of the EKMA curve other than the ridge line was plotted.
After determining the ridge of the EKMA curve, the VOCs time-point concentration, NO of the monitoring subareas in the monitoring area, such as all monitoring subareas, at the time point of interest in the time period of interest is usedXAn EKMA curve is drawn according to the time concentration and the maximum time concentration of ozone, and three concentration values (VOCs time concentration, NO) of the concerned time point in the concerned time period of each monitoring subareaXTime concentration and maximum time concentration of ozone) in an EKMA curve, wherein three values have three corresponding scatter points in a coordinate system, the scatter points are connected into a plurality of ozone contour lines by applying methods such as logistic regression, interpolation and the like and are drawn in an EKMA curve graph, and the maximum time concentration of the ozone is embodied in the EKMA curve graph in the form of the contour lines.
In some embodiments, the determining system for the control factor for generating ozone provided by the embodiments of the present invention, the geographic control area determining module 40, is further configured to:
determining a control factor for ozone generation based on the EKMA curve;
as shown in fig. 6, the EKMA graph is controlled by different control factors on both sides of the ridge line, the VOC control area is on the left side, and the monitoring sub-area corresponding to the data point in the VOC control area is the VOC control area. The right side of the ridge line is a NOx control region, and the monitoring sub-region corresponding to the data point of the NOx control region is the NOx control region.
Determining a distribution area of the control factors in the EKMA curve;
the distribution zones may include a VOC control zone, a NOx control zone, and a coordinated control zone, with different distribution zones controlled by corresponding control factors when generating ozone, i.e., different distribution zones having different sensitivities to different precursors when generating ozone.
Determining the moment concentration of the ozone precursor in the distribution region and a monitoring sub-region where the maximum moment concentration of the ozone is located;
and according to the monitoring subarea where the moment concentration of the ozone precursor and the maximum moment concentration of the ozone are located in the distribution area, dividing different monitoring subareas into different geographical control areas based on the previously determined distribution area.
And determining the corresponding geographic control area of the control factors in the monitored area based on the monitored subareas.
Therefore, all monitoring subareas in the monitoring area are divided into different geographical control areas, and the geographical control areas can comprise VOCs geographical control areas and NO of corresponding distribution area typesXA geographical control area and a coordinated control area.
Referring to fig. 8, in some embodiments, the system for determining a control factor for generating ozone according to an embodiment of the present invention further includes a configuration module 50, before automatically acquiring, in real time, the temporal concentration of the ozone precursor and the temporal concentration of ozone in each monitored sub-zone of the monitored area based on the monitoring grid, where the configuration module 50 is further configured to:
dividing a monitoring area into a plurality of monitoring grids, wherein the area of each monitoring grid is not more than 1000m multiplied by 1000m, and each monitoring grid corresponds to a monitoring subarea;
and monitoring equipment is arranged in the monitoring area in a gridding manner, and the monitoring equipment can monitor the moment concentration of the ozone precursor and the moment concentration of the ozone in the monitoring sub-area in real time. The area of each monitoring grid, i.e. monitoring sub-area, is not more than 1000m x 1000m, such as 500m x 500m, which allows a high density of arrangement of monitoring devices in the monitored area.
And a monitoring device is arranged in each monitoring subarea and used for acquiring the moment concentration of the ozone precursor and the moment concentration of the ozone in the monitoring subarea.
After the monitoring area is divided into a plurality of monitoring grids, monitoring equipment is arranged in each monitoring subarea, and the monitoring equipment can obtain the moment concentration of the ozone precursor and the moment concentration of the ozone in the monitoring subarea.
By the technical scheme, after the judgment method for the control factor for generating ozone can automatically acquire the time concentration of the ozone precursor and the time concentration of ozone in each monitoring sub-area corresponding to the monitoring grid in real time, an EKMA curve is drawn based on the maximum time concentration of the ozone precursor in all the monitoring sub-areas in the monitoring area at the concerned time point and the time concentration of the ozone precursor at the concerned time point, so that the geographical control area of the monitoring area for the control factor for generating ozone is obtained. The method for judging the control factors for generating the ozone can accurately predict the control factors for generating the ozone in real time and simplify the operation process.
EXAMPLE III
Fig. 9 is a schematic structural diagram of an electronic device according to an embodiment provided in the present specification. On the hardware level, the electronic device comprises a processor and optionally an internal bus, a network interface and a memory. The Memory may include a Memory, such as a Random-Access Memory (RAM), and may further include a non-volatile Memory, such as at least 1 disk Memory. Of course, the electronic device may also include hardware required for other services.
The processor, the network interface, and the memory may be connected to each other via an internal bus, which may be an ISA (Industry Standard Architecture) bus, a PCI (Peripheral Component Interconnect) bus, an EISA (Extended Industry Standard Architecture) bus, or the like. The bus may be divided into an address bus, a data bus, a control bus, etc. For ease of illustration, only one double-headed arrow is shown in FIG. 9, but this does not indicate only one bus or one type of bus.
And the memory is used for storing programs. In particular, the program may include program code comprising computer operating instructions. The memory may include both memory and non-volatile storage and provides instructions and data to the processor.
The processor reads a corresponding computer program from the nonvolatile memory into the memory and then runs the computer program to form the block chain consensus device on a logic level. The processor executes the program stored in the memory, and is specifically configured to execute the method steps corresponding to each execution main body in the embodiments of the present specification.
The method disclosed in the embodiments of fig. 1 to 6 in this specification may be applied to or implemented by a processor. The processor may be an integrated circuit chip having signal processing capabilities. In implementation, the steps of the above method may be performed by integrated logic circuits of hardware in a processor or instructions in the form of software. The Processor may be a general-purpose Processor, including a Central Processing Unit (CPU), a Network Processor (NP), and the like; but also Digital Signal Processors (DSPs), Application Specific Integrated Circuits (ASICs), Field Programmable Gate Arrays (FPGAs) or other Programmable logic devices, discrete Gate or transistor logic devices, discrete hardware components. The methods, steps, and logic blocks disclosed in one or more embodiments of the present specification may be implemented or performed. A general purpose processor may be a microprocessor or the processor may be any conventional processor or the like. The steps of a method disclosed in connection with one or more embodiments of the present disclosure may be embodied directly in hardware, in a software module executed by a hardware decoding processor, or in a combination of the hardware and software modules executed by a hardware decoding processor. The software module may be located in ram, flash memory, rom, prom, or eprom, registers, etc. storage media as is well known in the art. The storage medium is located in a memory, and a processor reads information in the memory and completes the steps of the method in combination with hardware of the processor.
The electronic device may further execute the method in the embodiments shown in fig. 1 to fig. 6, and implement the functions of the corresponding apparatus in the embodiments shown in fig. 6 and fig. 7, which are not described herein again in this specification.
Of course, besides the software implementation, the electronic device of the embodiment of the present disclosure does not exclude other implementations, such as a logic device or a combination of software and hardware, and the like, that is, the execution subject of the following processing flow is not limited to each logic unit, and may also be hardware or a logic device.
By the technical scheme, after the judgment method for the control factor for generating ozone can automatically acquire the time concentration of the ozone precursor and the time concentration of ozone in each monitoring sub-area corresponding to the monitoring grid in real time, an EKMA curve is drawn based on the maximum time concentration of the ozone precursor in all the monitoring sub-areas in the monitoring area at the concerned time point and the time concentration of the ozone precursor at the concerned time point, so that the geographical control area of the monitoring area for the control factor for generating ozone is obtained. The method for judging the control factors for generating the ozone can accurately predict the control factors for generating the ozone in real time and simplify the operation process.
Example four
This specification embodiment also proposes a computer readable storage medium storing one or more programs, the one or more programs including instructions, which when executed by an electronic device including a plurality of application programs, can cause the electronic device to perform the method of the embodiment shown in fig. 1 to 6.
By the technical scheme, after the judgment method for the control factor for generating ozone can automatically acquire the time concentration of the ozone precursor and the time concentration of ozone in each monitoring sub-area corresponding to the monitoring grid in real time, an EKMA curve is drawn based on the maximum time concentration of the ozone precursor in all the monitoring sub-areas in the monitoring area at the concerned time point and the time concentration of the ozone precursor at the concerned time point, so that the geographical control area of the monitoring area for the control factor for generating ozone is obtained. The method for judging the control factors for generating the ozone can accurately predict the control factors for generating the ozone in real time and simplify the operation process.
In short, the above description is only a preferred embodiment of the present disclosure, and is not intended to limit the scope of the present disclosure. Any modification, equivalent replacement, improvement and the like made within the spirit and principle of the present specification shall be included in the protection scope of the present specification.
The system, apparatus, module or unit illustrated in one or more of the above embodiments may be implemented by a computer chip or an entity, or by an article of manufacture with a certain functionality. One typical implementation device is a computer. In particular, the computer may be, for example, a personal computer, a laptop computer, a cellular telephone, a camera phone, a smartphone, a personal digital assistant, a media player, a navigation device, an email device, a game console, a tablet computer, a wearable device, or a combination of any of these devices.
Computer-readable media, including both non-transitory and non-transitory, removable and non-removable media, may implement information storage by any method or technology. The information may be computer readable instructions, data structures, modules of a program, or other data. Examples of computer storage media include, but are not limited to, phase change memory (PRAM), Static Random Access Memory (SRAM), Dynamic Random Access Memory (DRAM), other types of Random Access Memory (RAM), Read Only Memory (ROM), Electrically Erasable Programmable Read Only Memory (EEPROM), flash memory or other memory technology, compact disc read only memory (CD-ROM), Digital Versatile Discs (DVD) or other optical storage, magnetic cassettes, magnetic tape magnetic disk storage or other magnetic storage devices, or any other non-transmission medium that can be used to store information that can be accessed by a computing device. As defined herein, a computer readable medium does not include a transitory computer readable medium such as a modulated data signal and a carrier wave.
It should also be noted that the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising an … …" does not exclude the presence of other like elements in a process, method, article, or apparatus that comprises the element.
The embodiments in the present specification are described in a progressive manner, and the same and similar parts among the embodiments are referred to each other, and each embodiment focuses on the differences from the other embodiments. In particular, for the system embodiment, since it is substantially similar to the method embodiment, the description is simple, and for the relevant points, reference may be made to the partial description of the method embodiment.
The foregoing description has been directed to specific embodiments of this disclosure. Other embodiments are within the scope of the following claims. In some cases, the actions or steps recited in the claims may be performed in a different order than in the embodiments and still achieve desirable results. In addition, the processes depicted in the accompanying figures do not necessarily require the particular order shown, or sequential order, to achieve desirable results. In some embodiments, multitasking and parallel processing may also be possible or may be advantageous.
Claims (10)
1. A method for determining a control factor for generating ozone, comprising:
automatically acquiring the moment concentration of ozone and the moment concentration of an ozone precursor in each monitoring subarea in a monitoring area in a concerned time period in real time based on a monitoring grid;
determining a time point of interest for each of the monitoring sub-zones for the maximum moment of ozone concentration occurring within the time period of interest;
adopting the maximum moment concentration of ozone in a plurality of monitoring sub-areas in the monitoring area in a concerned time period and the moment concentration of the ozone precursor corresponding to the concerned time point to draw an EKMA curve;
and judging a geographical control area corresponding to the control factor for generating ozone in the monitoring area based on the EKMA curve.
2. The method of claim 1 wherein said ozone precursor comprises VOCs and NOXThe time concentration of the ozone precursor comprises the time concentration of VOCs and NOXThe time concentration; the method comprises the following steps of adopting the maximum moment concentration of ozone in a plurality of monitoring sub-areas in a monitoring area in a concerned time period and the moment concentration of an ozone precursor corresponding to the concerned time point to draw an EKMA curve, and specifically comprising the following steps:
calculating a precursor ratio of the monitoring sub-zone, wherein the precursor ratio is the VOCs time concentration/the NO of the time point of interest in the time period of interestXThe time concentration;
determining a ridge of the EKMA curve based on the precursor ratio for the monitor sub-zone;
the VOCs time-point concentration and the NO of the time point of interest in the time period of interest based on the monitoring subareaXTime-of-day concentration and the maximum time-of-day concentration of ozone are plotted for the portion of the EKMA curve other than the ridge line.
3. The method according to claim 1 or 2, wherein the step of determining the geographical control area corresponding to the control factor for generating ozone in the monitored area based on the EKMA curve comprises:
determining the control factor for ozone generation based on the EKMA curve;
determining a distribution area of the control factor in the EKMA curve;
determining a monitoring subarea where the moment concentration of the ozone precursor and the maximum moment concentration of the ozone in the distribution area are located;
and determining a corresponding geographical control area of the control factors in the monitoring area based on the monitoring subarea.
4. The method according to claim 1, wherein the time-of-day concentration of the ozone precursor and the time-of-day concentration of ozone in each monitored sub-area of the monitored area are automatically obtained in real time based on the monitoring grid, and the method further comprises:
dividing the monitoring area into a plurality of monitoring grids, wherein the area of each monitoring grid is not more than 1000m multiplied by 1000m, and each monitoring grid corresponds to the monitoring subarea;
and monitoring equipment is arranged in each monitoring subarea and is used for acquiring the moment concentration of the ozone precursor and the moment concentration of the ozone in the monitoring subarea.
5. A system for determining a control factor for generating ozone, comprising:
the concentration monitoring equipment is used for automatically acquiring the moment concentration of ozone and the moment concentration of an ozone precursor in each monitoring subarea in the monitoring area in a concerned time period in real time based on the monitoring grids;
the concerned time period determining module is used for determining a concerned time point of the maximum ozone occurrence time concentration of each monitoring subarea in the concerned time period;
the EKMA curve drawing module is used for drawing an EKMA curve by adopting the maximum moment concentration of ozone in a plurality of monitoring sub-areas in a concerned time period and the moment concentration of the ozone precursor corresponding to the concerned time point;
and the geographic control area judging module is used for judging the geographic control area corresponding to the control factor for generating the ozone in the monitoring area based on the EKMA curve.
6. The diagnostic system of claim 5, wherein said ozone precursor comprises VOCs and NOXThe time concentration of the ozone precursor comprises the time concentration of VOCs and NOXA time-of-day concentration, the EKMA curve-drawing module further configured to:
calculating a precursor ratio of the monitoring sub-zone, wherein the precursor ratio is the VOCs time concentration/the NO of the time point of interest in the time period of interestXThe time concentration;
determining a ridge of the EKMA curve based on the precursor ratio for the monitor sub-zone;
the VOCs time-point concentration and the NO of the time point of interest in the time period of interest based on the monitoring subareaXTime-of-day concentration and the maximum time-of-day concentration of ozone are plotted for the portion of the EKMA curve other than the ridge line.
7. The determination system according to claim 5 or 6, wherein the geographic control region determination module is further configured to:
determining the control factor for ozone generation based on the EKMA curve;
determining a distribution area of the control factor in the EKMA curve;
determining a monitoring subarea where the moment concentration of the ozone precursor and the maximum moment concentration of the ozone in the distribution area are located;
and determining a corresponding geographical control area of the control factors in the monitoring area based on the monitoring subarea.
8. The judgment system of claim 5, the system further comprising a configuration module, prior to automatically obtaining in real-time the temporal concentration of ozone precursor and the temporal concentration of ozone for each monitored sub-zone in the monitored area based on the monitoring grid, the configuration module further configured to:
dividing the monitoring area into a plurality of monitoring grids, wherein the area of each monitoring grid is not more than 1000m multiplied by 1000m, and each monitoring grid corresponds to the monitoring subarea;
and monitoring equipment is arranged in each monitoring subarea and is used for acquiring the moment concentration of the ozone precursor and the moment concentration of the ozone in the monitoring subarea.
9. An electronic device, comprising:
a processor; and
a memory arranged to store computer executable instructions that when executed cause the processor to perform a method of determining a control factor for ozone generation as claimed in any one of claims 1 to 4.
10. A storage medium storing one or more programs that, when executed by an electronic device including a plurality of application programs, cause the electronic device to execute the method for determining a control factor for generating ozone according to any one of claims 1 to 4.
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