Ozone prediction method and device and electronic equipment

Abstract

The invention provides an ozone prediction method and device and electronic equipment, and the method comprises the steps: obtaining target prediction data, and obtaining prediction reference data, the target prediction data comprising target nitrogen dioxide data of a target region at a target prediction time; determining the concentration of nitrogen dioxide to be judged based on the target nitrogen dioxide data; determining target nitrogen dioxide concentration judgment data of the target area in the target prediction time from the prediction reference data; based on the to-be-judged nitrogen dioxide concentration and the target nitrogen dioxide concentration judgment data, determining target nitrogen dioxide concentration reference indication data, and based on the target nitrogen dioxide concentration reference indication data, determining a target ozone concentration standard exceeding prediction index of the target area at the target prediction time, the target ozone concentration standard exceeding prediction index support is used for indicating whether the ozone concentration of the target area in the target prediction time exceeds the standard or not. According to the embodiment of the invention, ozone prediction can be conveniently carried out so as to improve the ozone prediction rate.

Description

Technical Field

[0001] The present invention relates to the technical field of air quality prediction, and in particular to an ozone prediction method, device and electronic equipment. Background Art

[0002] At present, air quality prediction has received widespread attention, but related technologies usually build numerical prediction models for prediction, resulting in high construction costs, long cycles and greater difficulty in prediction, especially near-ground ozone (O3) is mainly generated by secondary reactions, which is more difficult to predict. Based on this, how to conveniently predict ozone in order to increase the ozone prediction rate while reducing construction costs has not yet had a good solution. Summary of the invention

[0003] In view of this, the embodiments of the present invention provide an ozone prediction method, device and electronic device to solve the problems of high construction cost, long period and great prediction difficulty in ozone prediction in related technologies; that is, the embodiments of the present invention can conveniently perform ozone prediction by predicting benchmark data without building a numerical prediction model, which can effectively reduce construction costs and periods. That is, the embodiments of the present invention can improve the rate of ozone prediction while reducing construction costs, and can quickly predict the target ozone concentration exceedance prediction index, thereby providing a reference for users (such as environmental management departments, etc.) to conduct scientific and accurate management and control.

[0004] According to one aspect of an embodiment of the present invention, there is provided an ozone prediction method, the method comprising: Obtain target prediction data and prediction reference data, wherein the target prediction data includes target nitrogen dioxide data of a target area at a target prediction time, and the target nitrogen dioxide data includes at least one nitrogen dioxide concentration of the target area within a target judgment time interval corresponding to the target prediction time; determine the nitrogen dioxide concentration to be judged based on the target nitrogen dioxide data; determine the target nitrogen dioxide concentration judgment data of the target area at the target prediction time from the prediction reference data, one nitrogen dioxide concentration judgment data includes a plurality of nitrogen dioxide concentration reference indication data, and one nitrogen dioxide concentration reference indication data corresponds to one ozone concentration exceeding standard prediction index; determine the target nitrogen dioxide concentration reference indication data based on the nitrogen dioxide concentration to be judged and the target nitrogen dioxide concentration judgment data, and determine the target ozone concentration exceeding standard prediction index of the target area at the target prediction time based on the target nitrogen dioxide concentration reference indication data, wherein the target ozone concentration exceeding standard prediction index supports indicating whether the ozone concentration of the target area at the target prediction time exceeds the standard.

[0005] According to another aspect of an embodiment of the present invention, there is provided an ozone prediction device, the device comprising: An acquisition unit is used to acquire target prediction data and prediction reference data, wherein the target prediction data includes target nitrogen dioxide data of a target area at a target prediction time, and the target nitrogen dioxide data includes at least one nitrogen dioxide concentration of the target area within a target judgment time interval corresponding to the target prediction time; a processing unit is used to determine the nitrogen dioxide concentration to be judged based on the target nitrogen dioxide data; the processing unit is also used to determine the target nitrogen dioxide concentration judgment data of the target area at the target prediction time from the prediction reference data, one nitrogen dioxide concentration judgment data includes a plurality of nitrogen dioxide concentration reference indication data, and one nitrogen dioxide concentration reference indication data corresponds to one ozone concentration exceeding standard prediction index; the processing unit is also used to determine the target nitrogen dioxide concentration reference indication data based on the nitrogen dioxide concentration to be judged and the target nitrogen dioxide concentration judgment data, and determine the target ozone concentration exceeding standard prediction index of the target area at the target prediction time based on the target nitrogen dioxide concentration reference indication data, and the target ozone concentration exceeding standard prediction index supports indicating whether the ozone concentration of the target area at the target prediction time exceeds the standard.

[0006] According to another aspect of an embodiment of the present invention, an electronic device is provided, comprising a processor and a memory storing a program, wherein the program comprises instructions, which, when executed by the processor, enable the processor to perform the above-mentioned method.

[0007] The embodiment of the present invention can determine the nitrogen dioxide concentration to be determined based on the target nitrogen dioxide data after obtaining the target prediction data and the prediction benchmark data; and determine the target nitrogen dioxide concentration judgment data of the target area at the target prediction time from the prediction benchmark data. Based on this, the target nitrogen dioxide concentration benchmark indication data can be determined based on the nitrogen dioxide concentration to be determined and the target nitrogen dioxide concentration judgment data, and the target ozone concentration exceeding standard prediction index of the target area at the target prediction time can be determined based on the target nitrogen dioxide concentration benchmark indication data. The target ozone concentration exceeding standard prediction index supports indicating whether the ozone concentration of the target area at the target prediction time exceeds the standard. It can be seen that the embodiment of the present invention can conveniently perform ozone prediction through the prediction benchmark data without constructing a numerical prediction model, which can effectively reduce the construction cost and cycle; that is, the embodiment of the present invention can improve the rate of ozone prediction while reducing the construction cost, and can quickly predict the target ozone concentration exceeding standard prediction index, thereby providing a reference for users (such as environmental management departments, etc.) to conduct scientific and accurate control. BRIEF DESCRIPTION OF THE DRAWINGS

[0008] Further details, features and advantages of the invention are disclosed in the following description of exemplary embodiments in conjunction with the accompanying drawings, in which: Figure 1 A schematic flow chart of an ozone prediction method according to an exemplary embodiment of the present invention is shown; Figure 2 A schematic flow chart of another ozone prediction method according to an exemplary embodiment of the present invention is shown; Figure 3 A schematic flow chart of another ozone prediction method according to an exemplary embodiment of the present invention is shown; Figure 4 A schematic flow chart of another ozone prediction method according to an exemplary embodiment of the present invention is shown; Figure 5 A schematic block diagram of an ozone prediction device according to an exemplary embodiment of the present invention is shown; Figure 6 A block diagram of an exemplary electronic device that can be used to implement an embodiment of the present invention is shown. DETAILED DESCRIPTION

[0009] Embodiments of the present invention will be described in more detail below with reference to the accompanying drawings. Although certain embodiments of the present invention are shown in the accompanying drawings, it should be understood that the present invention can be implemented in various forms and should not be construed as being limited to the embodiments described herein, which are instead provided for a more thorough and complete understanding of the present invention. It should be understood that the drawings and embodiments of the present invention are only for exemplary purposes and are not intended to limit the scope of protection of the present invention.

[0010] It should be understood that the various steps described in the method embodiments of the present invention may be performed in different orders and / or in parallel. In addition, the method embodiments may include additional steps and / or omit the steps shown. The scope of the present invention is not limited in this respect.

[0011] The term "including" and its variations used in this document are open inclusions, that is, "including but not limited to". The term "based on" means "based at least in part on". The term "one embodiment" means "at least one embodiment"; the term "another embodiment" means "at least one other embodiment"; the term "some embodiments" means "at least some embodiments". Relevant definitions of other terms will be given in the following description. It should be noted that the concepts of "first", "second", etc. mentioned in the present invention are only used to distinguish different devices, modules or units, and are not used to limit the order or interdependence of the functions performed by these devices, modules or units.

[0012] It should be noted that the modifications of "one" and "plurality" mentioned in the present invention are illustrative rather than restrictive, and those skilled in the art should understand that, unless otherwise clearly indicated in the context, it should be understood as "one or more".

[0013] The names of the messages or information exchanged between multiple devices in the embodiments of the present invention are only used for illustrative purposes, and are not used to limit the scope of these messages or information.

[0014] It should be noted that the executor of the ozone prediction method provided in the embodiment of the present invention may be one or more electronic devices, and the present invention does not limit this; wherein, the electronic device may be a terminal (i.e., a client) or a server. Then, when the executor includes multiple electronic devices, and the multiple electronic devices include at least one terminal and at least one server, the ozone prediction method provided in the embodiment of the present invention may be jointly executed by the terminal and the server. Accordingly, the terminals mentioned here may include but are not limited to: smart phones, tablet computers, desktop computers, etc.; the servers mentioned here may be independent physical servers, or server clusters or distributed systems composed of multiple physical servers, or cloud servers that provide basic cloud computing services such as cloud services, cloud databases, and big data and artificial intelligence platforms.

[0015] Based on the above description, an embodiment of the present invention proposes an ozone prediction method, which can be executed by the electronic device (terminal or server) mentioned above; or, the ozone prediction method can be executed by the terminal and the server together. For the sake of convenience, the following description will take the electronic device executing the ozone prediction method as an example; Figure 1 As shown, the ozone prediction method may include the following steps S101-S104: S101, obtaining target prediction data and prediction reference data, wherein the target prediction data includes target nitrogen dioxide data of a target area at a target prediction time, and the target nitrogen dioxide data includes at least one nitrogen dioxide concentration of the target area within a target judgment time interval corresponding to the target prediction time.

[0016] Optionally, the target area can be any area, and the target prediction time can be any time range (such as a future day), which is not limited in the embodiment of the present invention. In the embodiment of the present invention, the prediction benchmark data may include the benchmark data of the target area under each time index in at least one time index, and one benchmark data may include but is not limited to a nitrogen dioxide concentration judgment data and a benchmark meteorological data, etc. (such as the prediction benchmark data may include the nitrogen dioxide concentration judgment data and benchmark meteorological data of the target area under each time index). Optionally, at least one time index may include 12 months, that is, one time index may be one month, such as June or July, etc.; or, at least one time index may include 4 quarters, that is, one time index may be one quarter, such as the first quarter or the second quarter, etc.

[0017] Optionally, the methods for obtaining the prediction benchmark data may include but are not limited to the following: The first method of obtaining: The prediction benchmark data may be stored in the electronic device's own storage space. In this case, the electronic device may obtain the prediction benchmark data from its own storage space. The second method of obtaining: The electronic device may obtain a benchmark data download link, and use the data downloaded through the benchmark data download link as the prediction benchmark data. The third method of obtaining: The electronic device may obtain historical data (such as including but not limited to the following historical nitrogen dioxide concentration data and historical ozone concentration data, etc.) to obtain prediction benchmark data based on the historical data, and so on. Among them, the specific implementation method of obtaining prediction benchmark data based on historical data can be described as follows, and the embodiments of the present invention will not be repeated here.

[0018] Optionally, the target prediction data may include but is not limited to the target nitrogen dioxide data and target meteorological data of the target area at the target prediction time. Accordingly, the methods for obtaining the target prediction data may include but are not limited to the following: The first method of obtaining: the electronic device may receive the target prediction data sent by the monitoring device to obtain the target prediction data. The second method of obtaining: the target prediction data may include target meteorological data and target nitrogen dioxide data, and the electronic device may obtain a meteorological data download link to download the target meteorological data through the meteorological data download link, and obtain a nitrogen dioxide data download link to download the target nitrogen dioxide data through the nitrogen dioxide data download link. The third acquisition method: the electronic device can acquire target monitoring data, which may include each monitoring point among multiple monitoring points in the target area, and the monitoring value of each monitoring indicator in at least one monitoring indicator within each second time range in the monitoring time range corresponding to the target prediction time, at least one monitoring indicator may include but is not limited to nitrogen dioxide (a monitoring value of nitrogen dioxide may be the nitrogen dioxide concentration within the corresponding second time range) and at least one target meteorological element (a monitoring value of a target meteorological element may be the meteorological element value of the corresponding target meteorological element within the corresponding second time range); determine the target prediction data based on the target monitoring data to achieve the acquisition of the target prediction data, and so on.

[0019] Among them, the monitoring time range corresponding to the target prediction time may include the target judgment time interval; optionally, the monitoring time range may be set according to experience or actual needs, which is not limited in the embodiment of the present invention. Optionally, the duration corresponding to a second time range may be 1 hour or 2 hours, etc., which is not limited in the embodiment of the present invention; when the duration corresponding to a second time range is 1 hour, at least one monitoring value within a second time range may include but is not limited to nitrogen dioxide hourly concentration data (i.e. nitrogen dioxide concentration within one hour) and meteorological element hourly data of each target meteorological element (i.e. meteorological element value within one hour). Optionally, when determining the target prediction data based on the target monitoring data, for any monitoring indicator among at least one monitoring indicator and any second time range within the monitoring time range, the monitoring values ​​of any monitoring indicator of each monitoring point within any second time range can be averaged to obtain the average calculation result of any monitoring indicator within any second time range, and the average calculation result of any monitoring indicator within any second time range can be added to the target prediction data to obtain the target prediction data. At this time, the target prediction data may include at least one nitrogen dioxide concentration in the target area within the monitoring time range corresponding to the target prediction time, that is, it may include the nitrogen dioxide concentration of the target area within each second time range in the monitoring time range, and so on.

[0020] Optionally, the target judgment time zone can be determined based on the reference time interval indicator under the time indicator to which the target prediction time belongs, that is, the electronic device can determine the time indicator to which the target prediction time belongs, and determine the target judgment time interval based on the reference time interval indicator under the time indicator to which the target prediction time belongs. Exemplarily, when a time indicator is 1 month and the target prediction time is October 2, 2024, it can be determined that the time indicator to which the target prediction time (i.e., the prediction day) belongs is October; and assuming that the reference time interval indicator under the time indicator "October" is 12:00-23:00 yesterday, then the target judgment time interval can be determined to be 12:00-23:00 on October 1, 2024, and so on.

[0021] S102, determining the nitrogen dioxide concentration to be determined based on the target nitrogen dioxide data.

[0022] Optionally, the electronic device may perform mean calculation on at least one nitrogen dioxide concentration of the target area within the target judgment time interval (i.e., the nitrogen dioxide concentration of the target area within each second time range in the target judgment time interval) to obtain the nitrogen dioxide concentration to be judged (i.e., the arithmetic mean of the NO2 concentration of the target area within the target judgment time interval). For ease of explanation, the following description will be based on an example in which the second time range corresponds to a duration of 1 hour.

[0023] S103, determining target nitrogen dioxide concentration judgment data of the target area at the target prediction time from the prediction benchmark data, one nitrogen dioxide concentration judgment data includes multiple nitrogen dioxide concentration benchmark indication data, and one nitrogen dioxide concentration benchmark indication data corresponds to one ozone concentration exceeding standard prediction index.

[0024] Optionally, a nitrogen dioxide concentration benchmark indication data may be a nitrogen dioxide concentration benchmark value or a nitrogen dioxide concentration benchmark range, etc. Optionally, an ozone concentration exceeding standard prediction index may be an ozone concentration not exceeding standard index (also referred to as an ozone concentration not easily exceeding standard index, which can be used to indicate that the ozone concentration does not exceed the standard or is not easily exceeded), an ozone concentration easily exceeding standard index (also referred to as a first ozone concentration exceeding standard index, which can be used to indicate that the ozone concentration is easily exceeded), an ozone concentration extremely easily exceeding standard index (also referred to as a second ozone concentration exceeding standard index, which can be used to indicate that the ozone concentration is extremely easily exceeded), an ozone concentration exceeding standard index (also referred to as a third ozone concentration exceeding standard index, which can be used to indicate that the ozone concentration exceeds the standard), and the like. Among them, the probability (i.e., possibility) of ozone concentration exceeding the standard indicated by the ozone concentration easily exceeding standard index is lower than the probability of ozone concentration exceeding the standard indicated by the ozone concentration extremely easily exceeding standard index, and the probability of ozone concentration exceeding the standard indicated by the ozone concentration extremely easily exceeding standard index is lower than the probability of ozone concentration exceeding the standard indicated by the ozone concentration exceeding standard index, and so on; it can be seen that the ozone concentration easily exceeding standard index, the ozone concentration extremely easily exceeding standard index, and the ozone concentration exceeding standard index can all be used to indicate ozone concentration exceeding the standard, and can be used to indicate different probabilities of ozone concentration exceeding the standard, that is, can be used to indicate different possibilities of ozone concentration exceeding the standard. In other words, an ozone concentration exceeding standard prediction index can be used to indicate whether ozone concentration is easy to exceed the standard; that is, an ozone concentration exceeding standard prediction index can be used to indicate whether ozone concentration exceeds the standard, and can be used to indicate the possibility of ozone concentration exceeding the standard.

[0025] S104, based on the nitrogen dioxide concentration to be judged and the target nitrogen dioxide concentration judgment data, determine the target nitrogen dioxide concentration benchmark indication data, and determine the target ozone concentration exceeding standard prediction index of the target area at the target prediction time based on the target nitrogen dioxide concentration benchmark indication data. The target ozone concentration exceeding standard prediction index supports indicating whether the ozone concentration in the target area at the target prediction time exceeds the standard.

[0026] Optionally, the target nitrogen dioxide concentration reference indication data may be a nitrogen dioxide concentration reference indication data in the target nitrogen dioxide concentration judgment data, or may be empty (i.e., the nitrogen dioxide concentration to be judged may not match any nitrogen dioxide concentration reference indication data in the target nitrogen dioxide concentration judgment data), etc. Optionally, when determining the target nitrogen dioxide concentration reference indication data based on the nitrogen dioxide concentration to be judged and the target nitrogen dioxide concentration judgment data, if there is nitrogen dioxide concentration reference indication data matching the nitrogen dioxide concentration to be judged in the target nitrogen dioxide concentration judgment data, the nitrogen dioxide concentration reference indication data matching the nitrogen dioxide concentration to be judged is used as the target nitrogen dioxide concentration reference indication data; if there is no nitrogen dioxide concentration reference indication data matching the nitrogen dioxide concentration to be judged in the target nitrogen dioxide concentration judgment data, the target nitrogen dioxide concentration reference indication data is empty.

[0027] In one embodiment, the nitrogen dioxide concentration reference indication data matching the nitrogen dioxide concentration to be determined may be the nitrogen dioxide concentration reference indication data with the smallest value range of the nitrogen dioxide concentration to be determined. For example, assuming that the target nitrogen dioxide concentration determination data may include the nitrogen dioxide concentration reference indication data 1"220μg / cm 3 (micrograms per cubic centimeter) (can be a nitrogen dioxide concentration benchmark value)", nitrogen dioxide concentration benchmark indication data 2 "220±10μg / cm 3 (It can also be expressed as [210,230], which can be a nitrogen dioxide concentration reference range, also known as the first reference range)", nitrogen dioxide concentration reference indication data 3 "220±30μg / cm 3 (can also be expressed as [190,250], which can be a nitrogen dioxide concentration reference range, also called the second reference range)" and nitrogen dioxide concentration reference indication data 4 "[0,190)∪(250,+∞] (can be a nitrogen dioxide concentration reference range)", then when the nitrogen dioxide concentration to be judged is 204μg / cm 3 When the nitrogen dioxide concentration reference indication data including the nitrogen dioxide concentration to be determined includes nitrogen dioxide concentration reference indication data 3, the nitrogen dioxide concentration reference indication data including the smallest value range of the nitrogen dioxide concentration to be determined is nitrogen dioxide concentration reference indication data 3, then the nitrogen dioxide concentration reference indication data 3 can be used as the target nitrogen dioxide concentration reference indication data; or, when the nitrogen dioxide concentration to be determined is 212 μg / cm 3When the nitrogen dioxide concentration reference indication data including the nitrogen dioxide concentration to be determined include nitrogen dioxide concentration reference indication data 2 and nitrogen dioxide concentration reference indication data 3, the nitrogen dioxide concentration reference indication data including the nitrogen dioxide concentration to be determined with the smallest value range is nitrogen dioxide concentration reference indication data 2, and then nitrogen dioxide concentration reference indication data 2 can be used as the target nitrogen dioxide concentration reference indication data. Among them, the value range of nitrogen dioxide concentration reference indication data 1 is smaller than the value range of nitrogen dioxide concentration reference indication data 2, and the value range of nitrogen dioxide concentration reference indication data 2 is smaller than the value range of nitrogen dioxide concentration reference indication data 3.

[0028] In another embodiment, the nitrogen dioxide concentration reference indication data matching the nitrogen dioxide concentration to be determined may be the nitrogen dioxide concentration reference indication data where the nitrogen dioxide concentration to be determined is located, that is, the nitrogen dioxide concentration reference indication data within which the nitrogen dioxide concentration to be determined falls, and so on. For example, assuming that the target nitrogen dioxide concentration determination data includes the nitrogen dioxide concentration reference indication data 1 "220μg / cm 3 ”, nitrogen dioxide concentration benchmark indication data 2 “[210,220)∪(220,230] (can be a nitrogen dioxide concentration benchmark range)”, nitrogen dioxide concentration benchmark indication data 3 “[190,210)∪(230,250] (can be a nitrogen dioxide concentration benchmark range)”, then when the nitrogen dioxide concentration to be judged is 204μg / cm 3 When the nitrogen dioxide concentration reference indication data where the nitrogen dioxide concentration is to be determined is the nitrogen dioxide concentration reference indication data 3, the nitrogen dioxide concentration reference indication data 3 can be used as the target nitrogen dioxide concentration reference indication data.

[0029] For example, it is assumed that the target nitrogen dioxide concentration determination data includes nitrogen dioxide concentration reference indication data 1 "220 μg / cm 3 "、Nitrogen dioxide concentration standard indication data 2" 220 ± 10μg / cm 3 "、Nitrogen dioxide concentration standard indication data 3" 220 ± 30μg / cm 3 ", then when the nitrogen dioxide concentration to be judged is 90μg / cm 3 When the nitrogen dioxide concentration to be determined does not match any nitrogen dioxide concentration benchmark indication data in the target nitrogen dioxide concentration judgment data, that is, the nitrogen dioxide concentration to be determined does not meet any nitrogen dioxide concentration benchmark indication data in the target nitrogen dioxide concentration judgment data, then the target nitrogen dioxide concentration benchmark indication data may be empty.

[0030] Optionally, when determining the target ozone concentration exceedance prediction index for the target area at the target prediction time based on the target nitrogen dioxide concentration benchmark indication data, if the target nitrogen dioxide concentration benchmark indication data is not empty, the ozone concentration exceedance prediction index corresponding to the target nitrogen dioxide concentration benchmark indication data can be used as the target ozone concentration exceedance prediction index for the target area at the target prediction time; if the target nitrogen dioxide concentration benchmark indication data is empty, the target ozone concentration exceedance prediction index can be determined as the ozone concentration non-exceeding index, and so on.

[0031] The embodiment of the present invention can determine the nitrogen dioxide concentration to be determined based on the target nitrogen dioxide data after obtaining the target prediction data and the prediction benchmark data; and determine the target nitrogen dioxide concentration judgment data of the target area at the target prediction time from the prediction benchmark data. Based on this, the target nitrogen dioxide concentration benchmark indication data can be determined based on the nitrogen dioxide concentration to be determined and the target nitrogen dioxide concentration judgment data, and the target ozone concentration exceeding standard prediction index of the target area at the target prediction time can be determined based on the target nitrogen dioxide concentration benchmark indication data. The target ozone concentration exceeding standard prediction index supports indicating whether the ozone concentration of the target area at the target prediction time exceeds the standard. It can be seen that the embodiment of the present invention can conveniently perform ozone prediction through the prediction benchmark data without constructing a numerical prediction model, which can effectively reduce the construction cost and cycle; that is, the embodiment of the present invention can improve the rate of ozone prediction while reducing the construction cost, and can quickly predict the target ozone concentration exceeding standard prediction index, thereby providing a reference for users (such as environmental management departments, etc.) to conduct scientific and accurate control.

[0032] Based on the above description, the embodiment of the present invention further proposes a more specific ozone prediction method. Accordingly, the ozone prediction method can be executed by the electronic device (terminal or server) mentioned above; or, the ozone prediction method can be executed by the terminal and the server together. For the sake of convenience, the following description will be based on the example of an electronic device executing the ozone prediction method; please refer to Figure 2 , the ozone prediction method may include the following steps S201-S209: S201, obtaining historical nitrogen dioxide concentration data and historical ozone concentration data, the historical nitrogen dioxide concentration data including a set of nitrogen dioxide concentration data within each first time range of the target area in the historical time range, and the historical ozone concentration data including a set of ozone concentration data within each first time range of the target area.

[0033] In an embodiment of the present invention, the above-mentioned prediction benchmark data may include benchmark data of the target area under each time index in at least one time index, one benchmark data includes a nitrogen dioxide concentration judgment data, and one time index corresponds to at least one first time range. Optionally, the historical time range may be any time range in the past, and the embodiment of the present invention is not limited to this. Optionally, the duration corresponding to a first time range may be one month, or one quarter, etc.; it should be understood that the duration corresponding to a first time range is the same as the duration indicated by a time index. For example, when a time index is a month, a first time range may be a certain month, and so on. For the sake of ease of explanation, the following description will be taken as an example of a time index being a month.

[0034] Optionally, a time indicator may correspond to at least one first time range (the at least one first time range is the first time range in the historical time range), that is, a first time range may correspond to the time indicator to which the corresponding first time range belongs. For example, assuming that the historical time range is 2020-2023, at least one time indicator includes 12 months, and the time indicator "June" is used as an example for explanation. The time indicators to which the first time ranges June 2020, June 2021, June 2022, and June 2023 belong are all the time indicator "June", that is, the at least one first time range corresponding to the time indicator "June" may include June 2020, June 2021, June 2022, and June 2023.

[0035] Optionally, a reference data may also include a reference meteorological data; then the electronic device may also obtain historical meteorological data, and the historical meteorological data may include a meteorological element data set in each first time range of the target area, and a meteorological element data set may include at least one meteorological element value of each meteorological element in the corresponding first time range (i.e., including the meteorological element value of each meteorological element in each second time range in the corresponding first time range). When the second time range corresponds to a duration of 1 hour, a meteorological element value is meteorological element hourly data. Optionally, the above-mentioned multiple meteorological elements may include but are not limited to: temperature, relative humidity, wind speed, wind direction, and air pressure.

[0036] Optionally, the acquisition methods of historical nitrogen dioxide concentration data, historical ozone concentration data and historical meteorological data may include but are not limited to the following: The first acquisition method: the electronic device's own storage space may store historical nitrogen dioxide concentration data, historical ozone concentration data and historical meteorological data, and the historical nitrogen dioxide concentration data, historical ozone concentration data and historical meteorological data may be acquired from its own storage space. The second acquisition method: the electronic device may acquire a historical data download link, and use the historical data download link to download historical nitrogen dioxide concentration data, historical ozone concentration data and historical meteorological data; optionally, the above historical nitrogen dioxide concentration data, historical ozone concentration data and historical meteorological data may be data monitored by an automatic monitoring point. The third acquisition method: the historical nitrogen dioxide concentration data to be processed, the historical ozone concentration data to be processed and the historical meteorological data to be processed may be acquired, and the historical nitrogen dioxide concentration data to be processed, the historical ozone concentration data to be processed and the historical meteorological data to be processed may be preprocessed to obtain historical nitrogen dioxide concentration data, historical ozone concentration data and historical meteorological data, and the like.

[0037] In a specific implementation, when performing data preprocessing, in order to ensure the validity of the data used, the audited data may be preferred, such as filtering out all audited data from the historical nitrogen dioxide concentration data to be processed, the historical ozone concentration data to be processed, and the historical meteorological data to be processed; optionally, at this time, the electronic device may filter out data with an audit pass mark to obtain historical nitrogen dioxide concentration data, historical ozone concentration data, and historical meteorological data. It should be understood that different data (such as nitrogen dioxide concentration or meteorological element values, etc.) within the same second time range have the same audit mark (such as all audit pass marks or unaudited marks, etc.); optionally, both the audit pass mark and the unaudited mark can be set according to experience or actual needs, and the embodiments of the present invention are not limited to this.

[0038] In another specific implementation, if the data is not audited, it can be analyzed in accordance with the Ambient Air Quality Standard (GB 3095-2012), the Technical Guidelines for Environmental Monitoring Quality Management (HJ 630-2011) and the Statistical Processing and Interpretation of Data, the Judgment and Treatment of Outliers in Normal Samples (GB / T 4883-2008), judge and remove abnormal values, and retain normal data to obtain historical nitrogen dioxide concentration data, historical ozone concentration data and historical meteorological data; optionally, the electronic device can adopt the normal sample outlier judgment method to remove abnormal values ​​from the historical nitrogen dioxide concentration data to be processed, the historical ozone concentration data to be processed and the historical meteorological data to be processed, that is, remove all data within the second time range where any abnormal value is located. For example, when the nitrogen dioxide concentration within the second time range 1 is abnormal, the nitrogen dioxide concentration within the second time range 1 of the historical nitrogen dioxide concentration data to be processed can be removed, the ozone concentration within the second time range 1 of the historical ozone concentration data to be processed can be removed, and the meteorological element values ​​of each meteorological element in the historical meteorological data to be processed within the second time range 1 can be removed. Optionally, the electronic device may adopt a normal sample outlier judgment method to respectively determine the outliers (i.e., outliers) in the historical nitrogen dioxide concentration data to be processed, the historical ozone concentration data to be processed, and the historical meteorological data to be processed, so as to obtain a set of nitrogen dioxide concentration outlier values ​​in the historical nitrogen dioxide concentration data to be processed, a set of ozone concentration outlier values ​​in the historical ozone concentration data to be processed, and a set of meteorological element outlier values ​​in the historical meteorological data to be processed, thereby obtaining an outlier set (including a set of nitrogen dioxide concentration outlier values, a set of ozone concentration outlier values, and a set of meteorological element outlier values); based on this, for any outlier in the outlier set, the nitrogen dioxide concentration, ozone concentration, and meteorological element values ​​of each meteorological element within the second time range in which any outlier is located can be respectively eliminated from the historical nitrogen dioxide concentration data to be processed, the historical ozone concentration data to be processed, and the historical meteorological data to be processed. It should be noted that the embodiments of the present invention do not limit the specific implementation of the method for judging outliers of normal samples; for example, taking the historical nitrogen dioxide concentration data to be processed as an example, outlier judgment can be performed on the data in each year of the historical nitrogen dioxide concentration data to be processed, or outlier judgment can be performed according to time indicators (that is, outlier judgment is performed on the nitrogen dioxide concentration data set within at least one first time range corresponding to each time indicator), etc. Optionally, data on rainy days can be removed from the historical nitrogen dioxide concentration data to be processed, the historical ozone concentration data to be processed, and the historical meteorological data to be processed, that is, the nitrogen dioxide concentration, ozone concentration, and meteorological element values ​​of each meteorological element within each second time range of all rainy days in the historical time range are removed, etc.Accordingly, the historical nitrogen dioxide concentration data after elimination can be used as the historical nitrogen dioxide concentration data, the historical ozone concentration data after elimination can be used as the historical ozone concentration data, and the historical meteorological data after elimination can be used as the historical meteorological data. Based on this, the historical nitrogen dioxide concentration data, the historical ozone concentration data, and the historical meteorological data may not include abnormal values ​​and / or data on rainy days, etc.

[0039] Furthermore, for any time index among at least one time index, the electronic device can also determine at least one benchmark meteorological element under any time index from multiple meteorological elements based on historical meteorological data and historical ozone concentration data, and respectively determine the benchmark meteorological element range of each benchmark meteorological element in at least one benchmark meteorological element under any time index; based on this, the benchmark meteorological element range of each benchmark meteorological element under any time index can be added to the benchmark meteorological data of the target area under any time index, so that the benchmark meteorological data of the target area under any time index includes the benchmark meteorological element range of each benchmark meteorological element under any time index.

[0040] Optionally, when at least one benchmark meteorological element under any time index is determined from multiple meteorological elements based on historical meteorological data and historical ozone concentration data, the electronic device can determine a set of meteorological element data within each first time range corresponding to any time index from the historical meteorological data, and add the meteorological element values ​​of each meteorological element in the set of meteorological element data within each first time range corresponding to any time index to the meteorological element subset of the corresponding meteorological element, at which time the meteorological element subset of a meteorological element may include all meteorological element values ​​of the corresponding meteorological element within each first time range corresponding to any time index (such as all meteorological element hourly data); and can determine a set of ozone concentration data within each first time range corresponding to any time index from historical ozone concentration data, and add each ozone concentration in the set of ozone concentration data within each first time range corresponding to any time index to the second ozone concentration subset, at which time the second ozone concentration subset may include all ozone concentrations within each first time range corresponding to any time index (such as all ozone hourly concentrations). Based on this, correlation analysis can be performed on the meteorological element subsets of each meteorological element and the second ozone concentration subset to obtain the correlation analysis results of each meteorological element. The correlation analysis result of one meteorological element is the correlation analysis result between the corresponding meteorological element and ozone; that is, based on the meteorological element subsets of each meteorological element and the second ozone concentration subset, correlation analysis can be performed on each meteorological element and ozone to obtain the correlation analysis results of each meteorological element (also referred to as the correlation analysis results between each meteorological element and ozone). Then, correspondingly, based on the correlation analysis results of each meteorological element, at least one benchmark meteorological element under any time index can be determined from multiple meteorological elements, and the correlation analysis results of each benchmark meteorological element in at least one benchmark meteorological element under any time index are greater than or equal to the correlation analysis results of any meteorological element in the multiple meteorological elements except at least one benchmark meteorological element under any time index.

[0041] In one embodiment, the electronic device can determine the meteorological element whose correlation analysis result is greater than the preset correlation threshold from multiple meteorological elements, and use each determined meteorological element as the reference meteorological element under any time index. At this time, at least one reference meteorological element under any time index may include all meteorological elements whose correlation analysis results are greater than the preset correlation threshold among multiple meteorological elements. In another embodiment, the electronic device can determine the number of preset meteorological elements, and select the first preset number of meteorological elements with the largest correlation analysis result from multiple meteorological elements, so as to use the first preset number of meteorological elements with the largest correlation analysis result as at least one reference meteorological element under any time index. At this time, at least one reference meteorological element under any time index may include the first preset number of meteorological elements with the largest correlation analysis result among multiple meteorological elements. Exemplarily, each meteorological element can be sorted in descending order of the correlation analysis results of each meteorological element to obtain a meteorological element sorting result. In this case, the first preset number of meteorological elements can be selected from the meteorological element sorting result, so as to use the first preset number of meteorological elements in the meteorological element sorting result as the reference meteorological element under any time index, and so on. Optionally, the preset correlation threshold and the preset number of meteorological elements may be set according to experience or actual needs, which is not limited in the embodiment of the present invention.

[0042] Optionally, a meteorological element value is a meteorological element value within a second time range included in a first time range, an ozone concentration data set includes at least one ozone concentration in the target area within the corresponding first time range, and an ozone concentration is an ozone concentration within a second time range included in a first time range. Based on this, when determining the reference meteorological element range of each reference meteorological element in at least one reference meteorological element under any time index, the electronic device can determine each second time range corresponding to the excessive ozone concentration from at least one first time range corresponding to any time index based on the ozone concentration data set within each first time range corresponding to any time index, wherein the excessive ozone concentration refers to an ozone concentration greater than a preset ozone concentration threshold, and each second time range corresponding to the excessive ozone concentration can be each second time range in at least one second time range corresponding to the excessive ozone concentration, and the at least one second time range corresponding to the excessive ozone concentration can include: a second time range in which the ozone concentration in at least one first time range corresponding to any time index is the excessive ozone concentration, that is, a second time range in which the ozone concentration greater than the preset ozone concentration threshold is located. Then, the meteorological element value of each benchmark meteorological element in at least one benchmark meteorological element under any time indicator in each second time range corresponding to the excessive ozone concentration can be determined from the meteorological element data set within each first time range corresponding to any time indicator; and the benchmark meteorological element range of each benchmark meteorological element under any time indicator is determined based on the meteorological element value of each benchmark meteorological element under any time indicator in each second time range corresponding to the excessive ozone concentration. Optionally, the preset ozone concentration threshold can be set according to experience or actual needs, which is not limited in the embodiment of the present invention; for example, the preset ozone concentration threshold can be 160μg / cm 3 This is because the maximum 8-hour sliding average of ozone is 160 μg / cm 3 When the corresponding Individual Air Quality Index (IAQI) is 100, pollutants with an air quality index greater than 100 may be excessive pollutants.

[0043] In a specific implementation, when determining the benchmark meteorological element range of each benchmark meteorological element under any time index based on the meteorological element values ​​of each benchmark meteorological element under any time index in each second time range corresponding to the exceeded ozone concentration, for any benchmark meteorological element of at least one benchmark meteorological element under any time index, the maximum meteorological element value and the minimum meteorological element value can be determined from the meteorological element values ​​of any benchmark meteorological element under any time index in each second time range corresponding to the exceeded ozone concentration, and the maximum meteorological element value and the minimum meteorological element value are used to determine the benchmark meteorological element range of any benchmark meteorological element under any time index. Optionally, the electronic device may use the maximum meteorological element value and the minimum meteorological element value to construct a benchmark meteorological element range for any benchmark meteorological element under any time index, that is, the benchmark meteorological element range for any benchmark meteorological element under any time index at this time may be [minimum meteorological element value, maximum meteorological element value]; or, when the difference between the minimum meteorological element value and the minimum meteorological element threshold value (such as 0) of any benchmark meteorological element is less than a preset meteorological difference threshold, the maximum meteorological element value is used to construct the benchmark meteorological element range for any benchmark meteorological element under any time index, that is, the benchmark meteorological element range for any benchmark meteorological element under any time index at this time may be less than or equal to the maximum meteorological element value, and so on. In another specific implementation, the meteorological element values ​​of any benchmark meteorological element under any time index in each second time range corresponding to the excessive ozone concentration can also be averaged to obtain the meteorological element mean of any benchmark meteorological element under any time index; and the preset meteorological value range corresponding to any benchmark meteorological element under any time index can be determined, so as to determine the benchmark meteorological element range of any benchmark meteorological element under any time index based on the meteorological element mean of any benchmark meteorological element under any time index and the preset meteorological value range corresponding to any benchmark meteorological element under any time index. At this time, the benchmark meteorological element range of any benchmark meteorological element under any time index can be [meteorological element mean - preset meteorological value range, meteorological element mean + preset meteorological value range], etc. Optionally, the preset meteorological difference threshold and the preset meteorological value range corresponding to any benchmark meteorological element under any time index can be set according to experience or actual needs, and the embodiment of the present invention is not limited to this. Exemplarily, assuming that at least one benchmark meteorological element under any time index includes temperature, relative humidity and wind speed, the benchmark meteorological element ranges of each benchmark meteorological element under any time index may be: 26.7℃≤temperature≤40.9℃, 18%≤relative humidity≤66%, wind speed≤5.7m / s, and so on.

[0044] S202, for any time indicator among at least one time indicator, filter out a first ozone concentration subset under any time indicator from the ozone concentration data set within each first time range corresponding to any time indicator; and filter out a nitrogen dioxide concentration subset under any time indicator from the nitrogen dioxide concentration data set within each first time range corresponding to any time indicator.

[0045] Among them, each first time range corresponding to any time indicator refers to each first time range in at least one first time range corresponding to any time indicator, an ozone concentration data set within a first time range may include the ozone concentration within each second time range in at least one second time range included in the corresponding first time range, and a nitrogen dioxide concentration data set within a first time range may include the nitrogen dioxide concentration within each second time range in at least one second time range included in the corresponding first time range.

[0046] In one embodiment, when selecting a first ozone concentration subset under any time index from an ozone concentration data set within each first time range corresponding to any time index, the first ozone concentration subset under any time index can be selected from an ozone concentration data set within each first time range corresponding to any time index based on the reference meteorological element range of each reference meteorological element under any time index. At this time, the first ozone concentration subset includes the ozone concentration within each second time range that meets the reference meteorological element range of each reference meteorological element under any time index in the ozone concentration data set within each first time range corresponding to any time index. Optionally, a second time range that meets the reference meteorological element range of each reference meteorological element under any time index may refer to a second time range in which the meteorological element values ​​of each reference meteorological element are all within the corresponding reference meteorological element range. Based on this, based on the benchmark meteorological element range of each benchmark meteorological element under any time indicator and the meteorological element data set within each first time range corresponding to any time indicator, each second time range that meets the benchmark meteorological element range of each benchmark meteorological element under any time indicator can be determined from at least one first time range corresponding to any time indicator (that is, the meteorological element values ​​of each benchmark meteorological element in the meteorological element data set within each first time range corresponding to any time indicator are all located in each second time range within the corresponding benchmark meteorological element range), so as to filter out the ozone concentration within each second time range that meets the benchmark meteorological element range of each benchmark meteorological element under any time indicator from the ozone concentration data set within each first time range corresponding to any time indicator, thereby adding the filtered ozone concentrations to the first ozone concentration subset to achieve filtering out the first ozone concentration subset under any time indicator.

[0047] Accordingly, when filtering a subset of nitrogen dioxide concentrations under any time index from a nitrogen dioxide concentration data set within each first time range corresponding to any time index, the subset of nitrogen dioxide concentrations under any time index can be filtered out from the nitrogen dioxide concentration data set within each first time range corresponding to any time index based on the reference meteorological element range of each reference meteorological element under any time index. At this time, the nitrogen dioxide concentration subset can include the nitrogen dioxide concentration within each second time range that meets the reference meteorological element range of each reference meteorological element under any time index in the nitrogen dioxide concentration data set within each first time range corresponding to any time index. Based on this, the nitrogen dioxide concentration within each second time range that meets the reference meteorological element range of each reference meteorological element under any time index can be filtered out from the nitrogen dioxide concentration data set within each first time range corresponding to any time index, so that the filtered nitrogen dioxide concentrations are added to the nitrogen dioxide concentration subset to achieve filtering out the nitrogen dioxide concentration subset under any time index.

[0048] In another embodiment, each ozone concentration in the ozone concentration data set within each first time range corresponding to any time indicator can be added to the first ozone concentration subset to filter out the first ozone concentration subset under any time indicator; correspondingly, each nitrogen dioxide concentration in the nitrogen dioxide concentration data set within each first time range corresponding to any time indicator can be added to the nitrogen dioxide concentration subset to filter out the nitrogen dioxide concentration subset under any time indicator, and so on.

[0049] S203: Based on the first ozone concentration subset, determine at least one ozone concentration exceeding standard time range and at least one ozone concentration non-exceeding standard time range from at least one first time range corresponding to any time indicator.

[0050] In an embodiment of the present invention, an ozone concentration exceeding time range and an ozone concentration not exceeding time range may be a third time range respectively; optionally, the duration corresponding to a third time range may be 1 day or 2 days, etc., which is not limited in the embodiment of the present invention. For the sake of convenience, the following description will be made by taking a third time range corresponding to a duration of 1 day as an example; based on this, an ozone concentration exceeding time range and an ozone concentration not exceeding time range may be a certain day respectively, that is, both may be time ranges in days; in this case, the ozone concentration exceeding time range may also be referred to as an ozone concentration exceeding day, and the ozone concentration not exceeding time range may also be referred to as an ozone concentration not exceeding day.

[0051] Accordingly, at least one first time range corresponding to any time indicator may include at least one third time range; based on this, for any third time range corresponding to any time range (i.e. any third time range in at least one first time range corresponding to any time indicator), at least one ozone concentration in any third time range may be selected from the first ozone concentration subset (including all ozone concentrations in the first ozone concentration subset located within any third time range, i.e. including the ozone concentrations in each second time range in any third time range in the first ozone concentration subset), and based on at least one ozone concentration in any third time range, any third time range may be determined to be an ozone concentration exceeding standard time range or an ozone concentration non-exceeding standard time range, so as to determine at least one ozone concentration exceeding standard time range and at least one ozone concentration non-exceeding standard time range.

[0052] Optionally, when determining that any third time range is an ozone concentration exceeding the standard time range or an ozone concentration non-exceeding standard time range based on at least one ozone concentration within any third time range, if there is an ozone concentration greater than a specified ozone concentration among at least one ozone concentration within any third time range, then any third time range is determined to be an ozone concentration exceeding the standard time range; and / or, based on at least one ozone concentration within any third time range, the maximum M-hour sliding average of ozone within any third time range can be determined (that is, the maximum average value of ozone concentration within M consecutive hours, M is a positive integer, such as when M is 8, it can be the maximum 8-hour sliding average of ozone), if the maximum M-hour sliding average of ozone is greater than the ozone concentration sliding average threshold, then any third time range is determined to be an ozone concentration exceeding the standard time range, and so on. Accordingly, when any third time range is not determined as a time range where ozone concentration exceeds the standard, any third time range can be determined as a time range where ozone concentration does not exceed the standard. For example, when at least one ozone concentration in any first time range does not have an ozone concentration greater than the specified ozone concentration, and the maximum M-hour sliding average of ozone is less than or equal to the sliding average threshold of ozone concentration, any third time range can be determined as a time range where ozone concentration does not exceed the standard, and so on. Optionally, both the specified ozone concentration and the sliding average threshold of ozone concentration can be set according to experience or actual needs, which is not limited in the embodiments of the present invention; for example, when the judgment of an exceeding day is based on the "Technical Regulations on Ambient Air Quality Index (AQI)" (Trial) (HJ 633-2012), the maximum 8-hour sliding average of O3 on that day is greater than 160μg / cm 3 Or the average value of O3 for 1 hour is > 200 μg / cm 3 When the ozone concentration is 200 μg / cm 3 The sliding average threshold of ozone concentration can be 160μg / cm 3Optionally, the historical ozone concentration data may also include a maximum M-hour sliding average of ozone within any third time range; or, the maximum M-hour sliding average of ozone may be determined by all ozone concentrations within any third time range, and so on.

[0053] S204, based on the nitrogen dioxide concentration subset, respectively determine the nitrogen dioxide concentration under each of the multiple pending time interval indicators for each ozone concentration exceeding standard time range in at least one ozone concentration exceeding standard time range; and based on the nitrogen dioxide concentration subset, respectively determine the nitrogen dioxide concentration under each of the pending time interval indicators for each ozone concentration non-exceeding standard time range in at least one ozone concentration non-exceeding standard time range.

[0054] Optionally, the above-mentioned multiple time interval indicators to be determined can be set according to experience or actual needs, and the embodiment of the present invention does not limit this. Optionally, the above-mentioned multiple time interval indicators to be determined can be set based on the time interval indicator to be selected, that is, a time interval indicator to be determined can be any continuous time interval indicator in the time interval indicator to be selected, and the embodiment of the present invention does not limit this. Optionally, the time interval indicator to be selected can be set according to experience or actual needs, and the embodiment of the present invention does not limit this; for example, it can be set according to the time of the highest ozone concentration yesterday under any time indicator in the target area to the time when the ozone concentration begins to rise on the day, such as setting it from 12:00 yesterday to 8:00 on the day; Optionally, the time of the highest ozone concentration yesterday and the time when the ozone concentration begins to rise on the day in the target area under any time indicator can be set according to experience or actual needs, and can also be obtained by statistical analysis of the ozone concentration data set in each first time range corresponding to any time indicator, and so on. Based on this, since the ozone concentration is negatively correlated with the nitrogen dioxide concentration, the time interval indicator to be selected can be used to indicate the time interval with a higher nitrogen dioxide concentration. Among them, a pending time interval indicator can be used to indicate a pending time interval corresponding to a third time range; for example, assuming that multiple pending time interval indicators include yesterday 12:00-23:00, yesterday 20:00-23:00, yesterday 12:00-today 8:00 and yesterday 20:00-today 8:00, then when any third time range is June 2, 2023, the pending time interval corresponding to any third time range under the pending time interval indicator "Yesterday 12:00-23:00" is June 1, 2023 12:00-23:00, and any third time range is June 2, 2023. The pending time interval corresponding to the time range under the pending time interval indicator "Yesterday 20:00-23:00" is June 1, 2023 20:00-23:00, and the pending time interval corresponding to any third time range under the pending time interval indicator "Yesterday 12:00-Today 8:00" is June 1, 2023 12:00-June 2, 2023 8:00, and the pending time interval corresponding to any third time range under the pending time interval indicator "Yesterday 20:00-Today 8:00" is June 1, 2023 20:00-June 2, 2023 8:00.

[0055] In an embodiment of the present invention, for any pending time interval indicator among multiple pending time interval indicators and any ozone concentration exceeding time range in at least one ozone concentration exceeding time range, at least one nitrogen dioxide concentration in the pending time interval corresponding to any ozone concentration exceeding time range under any pending time interval indicator can be determined from the nitrogen dioxide concentration subset (that is, from the nitrogen dioxide concentration subset, all nitrogen dioxide concentrations in the pending time interval corresponding to any ozone concentration exceeding time range under any pending time interval indicator), and at least one nitrogen dioxide concentration in the pending time interval corresponding to any ozone concentration exceeding time range under any pending time interval indicator can be determined. The average operation is performed to obtain the nitrogen dioxide concentration in any ozone concentration exceeding time range under any to-be-determined time interval indicator; correspondingly, for any ozone concentration non-exceeding time range in at least one ozone concentration non-exceeding time range, at least one nitrogen dioxide concentration in the to-be-determined time interval corresponding to any ozone concentration non-exceeding time range under any to-be-determined time interval indicator can be determined from the nitrogen dioxide concentration subset, and the average operation is performed on at least one nitrogen dioxide concentration in the to-be-determined time interval corresponding to any ozone concentration non-exceeding time range under any to-be-determined time interval indicator to obtain the nitrogen dioxide concentration in any ozone concentration non-exceeding time range under any to-be-determined time interval indicator.

[0056] S205, based on the nitrogen dioxide concentration in each time range when the ozone concentration exceeds the standard and each time interval indicator to be determined, and the nitrogen dioxide concentration in each time range when the ozone concentration is not exceeded and each time interval indicator to be determined, determine the nitrogen dioxide concentration judgment data under any time indicator, and add the nitrogen dioxide concentration judgment data under any time indicator to the benchmark data of the target area under any time indicator, so as to obtain the predicted benchmark data.

[0057] In an embodiment of the present invention, the electronic device can calculate the interval nitrogen dioxide excess concentration under each pending time interval indicator based on the nitrogen dioxide concentration under each pending time interval indicator for each ozone concentration excess time range; and calculate the interval nitrogen dioxide non-exceeding concentration under each pending time interval indicator based on the nitrogen dioxide concentration under each pending time interval indicator for each ozone concentration non-exceeding time range. Optionally, for any pending time interval indicator among multiple pending time interval indicators, the nitrogen dioxide concentrations of each ozone concentration excess time range under any pending time interval indicator can be averaged to obtain the interval nitrogen dioxide excess concentration under any pending time interval indicator; correspondingly, the nitrogen dioxide concentrations of each ozone concentration non-exceeding time range under any pending time interval indicator can be averaged to obtain the interval nitrogen dioxide non-exceeding concentration under any pending time interval indicator.

[0058] Further, based on the interval nitrogen dioxide concentration exceeding the standard and the interval nitrogen dioxide non-exceeding standard concentration under each pending time interval indicator, the nitrogen dioxide concentration difference under each pending time interval indicator can be calculated respectively, that is, the nitrogen dioxide concentration difference under any pending time interval indicator can be the difference between the interval nitrogen dioxide concentration exceeding the standard and the interval nitrogen dioxide non-exceeding standard concentration under any pending time interval indicator. Then correspondingly, based on the nitrogen dioxide concentration difference under each pending time interval indicator, the pending time interval indicator with the largest nitrogen dioxide concentration difference can be selected from multiple pending time interval indicators, and based on the interval nitrogen dioxide exceeding standard concentration under the selected pending time interval indicator, the nitrogen dioxide concentration judgment data under any time indicator is determined; wherein, the selected pending time interval indicator is the reference time interval indicator under any time indicator (that is, the pending time interval indicator with the largest nitrogen dioxide concentration difference can be used as the reference time interval indicator under any time indicator), and the target judgment time interval can be determined based on the reference time interval indicator under the time indicator to which the target prediction time belongs.

[0059] Optionally, when determining the nitrogen dioxide concentration judgment data under any time index based on the interval nitrogen dioxide excess concentration under the selected pending time interval index, the interval nitrogen dioxide excess concentration under the pending time interval index taken out can be used as a nitrogen dioxide concentration benchmark indication data under any time index; and / or, determine at least one preset range extension step, and determine the nitrogen dioxide concentration benchmark indication data under each preset range extension step based on the interval nitrogen dioxide excess concentration under the selected pending time interval index and each preset range extension step in at least one preset range extension step, so as to use the nitrogen dioxide concentration benchmark indication data under each preset range extension step as a nitrogen dioxide concentration benchmark indication data under any time index; and / or, determine a preset nitrogen dioxide concentration interval range (which can be used to indicate the maximum allowable range of nitrogen dioxide concentration), and use the interval nitrogen dioxide excess concentration under the pending time interval index taken out and the nitrogen dioxide concentration benchmark indication data under each preset range extension step as the complement of the preset nitrogen dioxide concentration interval range as a nitrogen dioxide concentration benchmark indication data under any time index, and so on. Based on this, all the obtained nitrogen dioxide concentration reference indication data under any time index can be added to the nitrogen dioxide concentration judgment data under any time index to determine the nitrogen dioxide concentration judgment data under any time index. Optionally, at least one preset range expansion step can be set according to experience or actual needs, which is not limited in the embodiment of the present invention.

[0060] In one embodiment, when determining the nitrogen dioxide concentration benchmark indication data under each preset range extension step based on the selected interval nitrogen dioxide excess concentration under the pending time interval indicator and each preset range extension step in at least one preset range extension step, for any preset range extension step in at least one preset range extension step, the sum of the interval nitrogen dioxide excess concentration under the selected pending time interval indicator and any preset range extension step may be used as the maximum nitrogen dioxide concentration in the nitrogen dioxide concentration benchmark indication data under any preset range extension step, and the difference between the interval nitrogen dioxide excess concentration under the selected pending time interval indicator and any preset range extension step may be used as the minimum nitrogen dioxide concentration in the nitrogen dioxide concentration benchmark indication data under any preset range extension step, so that the concentration range between the minimum nitrogen dioxide concentration and the maximum nitrogen dioxide concentration may be used as the nitrogen dioxide concentration benchmark indication data under any preset range extension step. For example, assuming that any preset range extension step is 10 μg / cm 3 , then the nitrogen dioxide concentration benchmark indicator data under any preset range expansion step can be the interval nitrogen dioxide excess concentration under the selected undetermined time interval indicator ±10μg / cm 3 In another embodiment, the interval nitrogen dioxide concentration exceeding the standard under the selected time interval indicator to be determined can be removed from the concentration range between the minimum nitrogen dioxide concentration and the maximum nitrogen dioxide concentration to obtain an intermediate concentration range, and the complement of the nitrogen dioxide concentration benchmark indication data under each preset range extension step whose preset range extension step is smaller than any preset range extension step in the intermediate concentration range is determined, thereby obtaining the nitrogen dioxide concentration benchmark indication data under any preset range extension step; based on this, the nitrogen dioxide concentration benchmark indication data under any preset range extension step may be: the interval range after removing the interval nitrogen dioxide concentration exceeding the standard under the selected time interval indicator to be determined and the nitrogen dioxide concentration benchmark indication data under each preset range extension step whose preset range extension step is smaller than any preset range extension step in the concentration range between the minimum nitrogen dioxide concentration and the maximum nitrogen dioxide concentration, and so on.

[0061] Accordingly, each ozone concentration exceedance prediction indicator can be used as the ozone concentration exceedance prediction indicator corresponding to the corresponding nitrogen dioxide concentration benchmark indication data under any time index in order from large to small according to the possibility of ozone concentration exceedance indicated by each ozone concentration exceedance prediction indicator among the multiple ozone concentration exceedance prediction indicators, so that the possibility of ozone concentration exceedance indicated by the ozone concentration exceedance prediction indicator corresponding to the first nitrogen dioxide concentration benchmark indication data under any time index is greater than the possibility of ozone concentration exceedance indicated by the ozone concentration exceedance prediction indicator corresponding to the second nitrogen dioxide concentration benchmark indication data, and the distance between the first nitrogen dioxide concentration benchmark indication data and the interval nitrogen dioxide exceedance concentration under the selected to-be-determined time interval index is less than the distance between the second nitrogen dioxide concentration benchmark indication data and the interval nitrogen dioxide exceedance concentration under the selected to-be-determined time interval index, that is, the smaller the distance between the ozone concentration exceedance prediction indicator corresponding to the nitrogen dioxide concentration benchmark indication data and the interval nitrogen dioxide exceedance concentration under the selected to-be-determined time interval index, the greater the possibility of ozone concentration exceedance indicated by the ozone concentration exceedance prediction indicator corresponding to the nitrogen dioxide concentration benchmark indication data. Optionally, the distance between a nitrogen dioxide concentration benchmark indication data under any time index and the interval nitrogen dioxide exceeding standard concentration under the selected pending time interval index may be the difference between the maximum value in the corresponding nitrogen dioxide concentration benchmark indication data and the interval nitrogen dioxide exceeding standard concentration under the selected pending time interval index, or it may be the difference between the interval nitrogen dioxide exceeding standard concentration under the selected pending time interval index and the minimum value in the corresponding nitrogen dioxide concentration benchmark indication data, and so on.

[0062] In summary, taking a time index of one month, at least one benchmark meteorological element under each time index including temperature, relative humidity and wind speed, and a third time range of one day as an example, the electronic device can determine the benchmark meteorological element range of temperature, relative humidity and wind speed for each month, and determine the days when ozone concentration exceeds the standard and the days when ozone concentration does not exceed the standard, and then determine the nitrogen dioxide concentration judgment data for each month, such as Figure 3 shown.

[0063] S206, acquiring target prediction data, the target prediction data including target nitrogen dioxide data of the target area at the target prediction time, the target nitrogen dioxide data including at least one nitrogen dioxide concentration of the target area within a target judgment time interval corresponding to the target prediction time.

[0064] S207: Determine the nitrogen dioxide concentration to be determined based on the target nitrogen dioxide data.

[0065] S208, determining target nitrogen dioxide concentration judgment data of the target area at the target prediction time from the prediction benchmark data, one nitrogen dioxide concentration judgment data includes multiple nitrogen dioxide concentration benchmark indication data, and one nitrogen dioxide concentration benchmark indication data corresponds to one ozone concentration exceeding standard prediction index.

[0066] In an embodiment of the present invention, the prediction reference data includes reference data of the target area under each time index in at least one time index, and one reference data includes a nitrogen dioxide concentration judgment data; based on this, the electronic device can determine the time index to which the target prediction time belongs from at least one time index; and determine the nitrogen dioxide concentration judgment data of the target area under the time index to which the target prediction time belongs from the prediction reference data, so as to use the nitrogen dioxide concentration judgment data of the target area under the time index to which the target prediction time belongs as the target nitrogen dioxide concentration judgment data of the target area at the target prediction time. Exemplarily, assuming that a time index is a month, then when the target prediction time is October 2, 2024, it can be determined that the time index to which the target prediction time belongs is October.

[0067] S209, based on the nitrogen dioxide concentration to be judged and the target nitrogen dioxide concentration judgment data, determine the target nitrogen dioxide concentration benchmark indication data, and determine the target ozone concentration exceeding standard prediction index of the target area at the target prediction time based on the target nitrogen dioxide concentration benchmark indication data. The target ozone concentration exceeding standard prediction index supports indicating whether the ozone concentration of the target area at the target prediction time exceeds the standard.

[0068] Optionally, the prediction benchmark data includes benchmark data of the target area under each time index in at least one time index, one benchmark data includes a benchmark meteorological data, and one benchmark meteorological data includes the benchmark meteorological element range of each benchmark meteorological element in at least one benchmark meteorological element under the corresponding time index; the target prediction data also includes the target meteorological data of the target area at the target prediction time. Correspondingly, the electronic device can also determine the target benchmark meteorological element range of each target meteorological element in at least one target meteorological element from the prediction benchmark data according to the time index to which the target prediction time belongs. The at least one target meteorological element includes at least one benchmark meteorological element under the time index to which the target prediction time belongs, that is, at least one benchmark meteorological element under the time index to which the target prediction time belongs can be used as at least one target meteorological element; based on this, the target meteorological element value of each target meteorological element can be determined based on the target meteorological data, and based on the target meteorological element value of each target meteorological element and the target benchmark meteorological element range, it is judged whether the target meteorological data meets the target benchmark meteorological element range of each target meteorological element; if the target meteorological data meets the target benchmark meteorological element range of each target meteorological element, it is triggered to execute based on the target nitrogen dioxide data to determine the nitrogen dioxide concentration to be judged; if the target meteorological data does not meet the target benchmark meteorological element range of each target meteorological element, it is determined that the target ozone concentration exceeds the standard prediction index is the ozone concentration does not exceed the standard index.

[0069] Optionally, the target meteorological data may include at least one meteorological element value of each target meteorological element in the target judgment time interval corresponding to the target prediction time of the target area, and one meteorological element value is a meteorological element value within a second time range; or, it may include at least one meteorological element value of each target meteorological element in the target area within the monitoring time range corresponding to the target prediction time; or, it may include at least one meteorological element value of each target meteorological element in the target prediction time, and so on. Then correspondingly, when determining the target meteorological element value of each target meteorological element based on the target meteorological data, for any target meteorological element of at least one target meteorological element, all meteorological element values ​​of any target meteorological element in the target meteorological data may be averaged to obtain the target meteorological element value of any target meteorological element. Optionally, the target meteorological data may also include the target meteorological element value of each target meteorological element, so as to directly determine the target meteorological element value of any target meteorological element from the target meteorological data, and so on.

[0070] Optionally, when judging whether the target meteorological data conforms to the target benchmark meteorological element range of each target meteorological element based on the target meteorological element value and the target benchmark meteorological element range of each target meteorological element, if the target meteorological element value of each target meteorological element falls within the target benchmark meteorological element range of the corresponding target meteorological element, then it is determined that the target meteorological data conforms to the target benchmark meteorological element range of each target meteorological element; if there is a target meteorological element among at least one target meteorological element whose target meteorological element value does not fall within the corresponding target benchmark meteorological element range, then it is determined that the target meteorological data does not conform to the target benchmark meteorological element range of each target meteorological element.

[0071] In summary, taking a time index of a month, the nitrogen dioxide concentration judgment data of that month (such as the target nitrogen dioxide concentration judgment data) including the nitrogen dioxide concentration baseline value, the first baseline range and the second baseline range as an example, it can be determined that the target ozone concentration exceeding standard prediction index is an ozone concentration exceeding standard index (for predicting that the ozone concentration exceeds the standard), an ozone concentration extremely easy to exceed standard index (for predicting that the ozone concentration is extremely easy to exceed the standard), an ozone concentration easy to exceed standard index (for predicting that the ozone concentration is easy to exceed the standard) and an ozone concentration not easy to exceed standard index (for predicting that the ozone concentration is not easy to exceed the standard), such as Figure 4 As shown. It can be seen that the embodiment of the present invention can provide a method for quickly predicting whether the ozone concentration exceeds the standard based on historical nitrogen dioxide concentration data and historical meteorological data, etc., combined with target meteorological data, which is easy to calculate and easy to operate. It can enable relevant departments or personnel to take different control measures and control intensities based on different target ozone concentration exceeding prediction indicators, so as to achieve scientific and accurate control.

[0072] The embodiment of the present invention can obtain historical nitrogen dioxide concentration data and historical ozone concentration data; for any time index in at least one time index, from the ozone concentration data set in each first time range corresponding to any time index, filter out the first ozone concentration subset under any time index; and from the nitrogen dioxide concentration data set in each first time range corresponding to any time index, filter out the nitrogen dioxide concentration subset under any time index. Further, based on the first ozone concentration subset, at least one ozone concentration exceeding time range and at least one ozone concentration non-exceeding time range can be determined from at least one first time range corresponding to any time index; and based on the nitrogen dioxide concentration subset, the nitrogen dioxide concentration of each ozone concentration exceeding time range in at least one ozone concentration exceeding time range under each pending time interval index in multiple pending time interval indicators is determined respectively; and based on the nitrogen dioxide concentration subset, the nitrogen dioxide concentration of each ozone concentration non-exceeding time range in at least one ozone concentration non-exceeding time range under each pending time interval indicator is determined respectively. Then, accordingly, the nitrogen dioxide concentration judgment data under any time index can be determined based on the nitrogen dioxide concentration under each time interval index to be determined in each ozone concentration exceeding time range, and the nitrogen dioxide concentration under each time interval index to be determined in each ozone concentration non-exceeding time range, and the nitrogen dioxide concentration judgment data under any time index can be added to the benchmark data of the target area under any time index to achieve the acquisition of predicted benchmark data. Based on this, after obtaining the target predicted data, the nitrogen dioxide concentration to be judged can be determined based on the target nitrogen dioxide data; and the target nitrogen dioxide concentration judgment data of the target area at the target predicted time can be determined from the predicted benchmark data. Further, the target nitrogen dioxide concentration benchmark indication data can be determined based on the nitrogen dioxide concentration to be judged and the target nitrogen dioxide concentration judgment data, and the target ozone concentration exceeding prediction index of the target area at the target predicted time can be determined based on the target nitrogen dioxide concentration benchmark indication data. It can be seen that the embodiments of the present invention do not require the use of air quality model prediction, do not need to invest a large amount of computer resources and construction platforms, do not require operating and maintenance costs, and do not require the investment of professional air quality forecasters. Ordinary personnel can learn and master the use of it, and can conveniently perform ozone prediction by predicting benchmark data, which can effectively reduce construction costs and cycles, thereby improving the rate of ozone prediction while reducing construction costs; based on this, the embodiments of the present invention can enable relevant control departments or personnel to adopt different control measures for different ozone prediction results (i.e., target ozone concentration exceedance prediction indicators), which are more targeted and purposeful and more cost-effective.

[0073] Based on the description of the above-mentioned related embodiments of the ozone prediction method, the embodiment of the present invention further proposes an ozone prediction device, which can be a computer program (including program code) running in an electronic device; Figure 5 As shown, the ozone prediction device may include an acquisition unit 501 and a processing unit 502. The ozone prediction device may perform Figure 1 or Figure 2 The ozone prediction method shown, that is, the ozone prediction device can run the above units: The acquisition unit 501 is used to acquire target prediction data and prediction reference data, wherein the target prediction data includes target nitrogen dioxide data of the target area at the target prediction time, and the target nitrogen dioxide data includes at least one nitrogen dioxide concentration of the target area within the target judgment time interval corresponding to the target prediction time; the processing unit 502 is used to determine the nitrogen dioxide concentration to be judged based on the target nitrogen dioxide data; the processing unit 502 is also used to determine the target nitrogen dioxide concentration judgment data of the target area at the target prediction time from the prediction reference data, and a nitrogen dioxide concentration judgment data of the target area at the target prediction time is obtained. The nitrogen concentration judgment data includes multiple nitrogen dioxide concentration benchmark indication data, and one nitrogen dioxide concentration benchmark indication data corresponds to one ozone concentration exceedance prediction index; the processing unit 502 is also used to determine the target nitrogen dioxide concentration benchmark indication data based on the nitrogen dioxide concentration to be judged and the target nitrogen dioxide concentration judgment data, and determine the target ozone concentration exceedance prediction index of the target area at the target prediction time based on the target nitrogen dioxide concentration benchmark indication data, and the target ozone concentration exceedance prediction index supports indicating whether the ozone concentration of the target area at the target prediction time exceeds the standard.

[0074] In one embodiment, the prediction benchmark data includes benchmark data of the target area under each time index in at least one time index, and one benchmark data includes a nitrogen dioxide concentration judgment data; when the processing unit 502 determines the target nitrogen dioxide concentration judgment data of the target area at the target prediction time from the prediction benchmark data, it can be specifically used to: determine the time index to which the target prediction time belongs from the at least one time index; and determine the nitrogen dioxide concentration judgment data of the target area under the time index to which the target prediction time belongs from the prediction benchmark data; use the nitrogen dioxide concentration judgment data of the target area under the time index to which the target prediction time belongs as the target nitrogen dioxide concentration judgment data of the target area at the target prediction time.

[0075] In another embodiment, the prediction benchmark data includes benchmark data of the target area under each time index in at least one time index, one benchmark data includes a benchmark meteorological data, and one benchmark meteorological data includes a benchmark meteorological element range of each benchmark meteorological element in at least one benchmark meteorological element under the corresponding time index; the target prediction data also includes target meteorological data of the target area at the target prediction time; the processing unit 502 can also be used to: determine the target benchmark meteorological element range of each target meteorological element in at least one target meteorological element from the prediction benchmark data according to the time index to which the target prediction time belongs, and the at least one target meteorological element includes the target prediction time to which the target prediction time belongs at least one benchmark meteorological element under the time indicator; determining the target meteorological element value of each target meteorological element based on the target meteorological data, and judging whether the target meteorological data conforms to the target benchmark meteorological element range of each target meteorological element based on the target meteorological element value and the target benchmark meteorological element range of each target meteorological element; if the target meteorological data conforms to the target benchmark meteorological element range of each target meteorological element, triggering the execution of determining the nitrogen dioxide concentration to be judged based on the target nitrogen dioxide data; if the target meteorological data does not conform to the target benchmark meteorological element range of each target meteorological element, determining the target ozone concentration exceedance prediction index as the ozone concentration non-exceeding index.

[0076] In another embodiment, the predicted benchmark data includes benchmark data of the target area under each time index in at least one time index, one benchmark data includes a nitrogen dioxide concentration judgment data, and one time index corresponds to at least one first time range; when acquiring the predicted benchmark data, the acquisition unit 501 can be specifically used to: acquire historical nitrogen dioxide concentration data and historical ozone concentration data, the historical nitrogen dioxide concentration data includes a set of nitrogen dioxide concentration data of the target area within each first time range in the historical time range, and the historical ozone concentration data includes a set of ozone concentration data of the target area within each first time range; for any time index in the at least one time index, from the set of ozone concentration data within each first time range corresponding to the any time index, filter out a first ozone concentration subset under the any time index; and from the set of nitrogen dioxide concentration data within each first time range corresponding to the any time index, filter out a nitrogen dioxide concentration subset under the any time index; based on the first ozone concentration subset , determining at least one ozone concentration exceeding time range and at least one ozone concentration non-exceeding time range from at least one first time range corresponding to any one of the time indicators; based on the nitrogen dioxide concentration subset, determining the nitrogen dioxide concentration of each ozone concentration exceeding time range in the at least one ozone concentration exceeding time range under each of the multiple to-be-determined time interval indicators; and based on the nitrogen dioxide concentration subset, determining the nitrogen dioxide concentration of each ozone concentration non-exceeding time range in the at least one ozone concentration non-exceeding time range under each of the to-be-determined time interval indicators; based on the nitrogen dioxide concentration of each ozone concentration exceeding time range under each of the to-be-determined time interval indicators, and the nitrogen dioxide concentration of each ozone concentration non-exceeding time range under each of the to-be-determined time interval indicators, determining the nitrogen dioxide concentration judgment data under any one of the time indicators, and adding the nitrogen dioxide concentration judgment data under any one of the time indicators to the benchmark data of the target area under any one of the time indicators, so as to achieve the acquisition of the predicted benchmark data.

[0077] In another embodiment, when the acquisition unit 501 determines the nitrogen dioxide concentration judgment data under any time index based on the nitrogen dioxide concentration under each pending time interval index in each ozone concentration exceeding time range and the nitrogen dioxide concentration under each pending time interval index in each ozone concentration non-exceeding time range, it can be specifically used to: calculate the interval nitrogen dioxide exceeding concentration under each pending time interval index based on the nitrogen dioxide concentration under each pending time interval index in each ozone concentration exceeding time range; and calculate the interval nitrogen dioxide non-exceeding concentration under each pending time interval index based on the nitrogen dioxide concentration under each pending time interval index in each ozone concentration non-exceeding time range. degree; based on the interval nitrogen dioxide excess concentration and the interval nitrogen dioxide non-excess concentration under each of the pending time interval indicators, respectively calculate the nitrogen dioxide concentration difference under each of the pending time interval indicators; based on the nitrogen dioxide concentration difference under each of the pending time interval indicators, select the pending time interval indicator with the largest nitrogen dioxide concentration difference from the multiple pending time interval indicators, and based on the interval nitrogen dioxide excess concentration under the selected pending time interval indicator, determine the nitrogen dioxide concentration judgment data under any of the time indicators; wherein, the selected pending time interval indicator is the reference time interval indicator under any of the time indicators, and the target judgment time interval is determined based on the reference time interval indicator under the time indicator to which the target prediction time belongs.

[0078] In another embodiment, a baseline data also includes a baseline meteorological data; the acquisition unit 501 can also be used to: acquire historical meteorological data, the historical meteorological data including a set of meteorological element data of the target area within each first time range, and a meteorological element data set including at least one meteorological element value of each meteorological element among multiple meteorological elements within the corresponding first time range; based on the historical meteorological data and the historical ozone concentration data, determine at least one baseline meteorological element under any time index from the multiple meteorological elements, and determine the baseline meteorological element range of each baseline meteorological element in at least one baseline meteorological element under any time index; add the baseline meteorological element range of each baseline meteorological element under any time index to the baseline meteorological data of the target area under any time index, so that the baseline meteorological data of the target area under any time index includes the baseline meteorological element range of each baseline meteorological element under any time index.

[0079] In another embodiment, when the acquisition unit 501 determines at least one benchmark meteorological element under the any time index from the multiple meteorological elements based on the historical meteorological data and the historical ozone concentration data, it can be specifically used to: determine the meteorological element data set within each first time range corresponding to the any time index from the historical meteorological data, and add the meteorological element values ​​of each meteorological element in the meteorological element data set within each first time range corresponding to the any time index to the meteorological element subset of the corresponding meteorological element; determine the ozone concentration data set within each first time range corresponding to the any time index from the historical ozone concentration data, and add the ozone concentration data set within each first time range corresponding to the any time index to the meteorological element subset of the corresponding meteorological element. Each ozone concentration in the oxygen concentration data set is added to the second ozone concentration subset; correlation analysis is performed on the meteorological element subsets of each meteorological element and the second ozone concentration subset respectively to obtain the correlation analysis results of each meteorological element, and the correlation analysis result of one meteorological element is the correlation analysis result between the corresponding meteorological element and ozone; based on the correlation analysis results of each meteorological element, at least one benchmark meteorological element under any time index is determined from the multiple meteorological elements, and the correlation analysis result of each benchmark meteorological element in the at least one benchmark meteorological element under any time index is greater than or equal to the correlation analysis result of any meteorological element among the multiple meteorological elements except the at least one benchmark meteorological element under any time index.

[0080] In another embodiment, a meteorological element value is a meteorological element value within a second time range included in a first time range, an ozone concentration data set includes at least one ozone concentration of the target area within the corresponding first time range, and an ozone concentration is an ozone concentration within a second time range included in a first time range; when the acquisition unit 501 determines the benchmark meteorological element range of each benchmark meteorological element in at least one benchmark meteorological element under any time indicator respectively, it can be specifically used to: based on the ozone concentration data set within each first time range corresponding to the any time indicator, from at least one benchmark meteorological element corresponding to the any time indicator In a first time range, determine each second time range corresponding to the excessive ozone concentration, wherein the excessive ozone concentration refers to the ozone concentration greater than the preset ozone concentration threshold; from the meteorological element data set within each first time range corresponding to any one of the time indicators, determine the meteorological element value of each benchmark meteorological element in at least one benchmark meteorological element under any one of the time indicators within each second time range corresponding to the excessive ozone concentration; determine the benchmark meteorological element range of each benchmark meteorological element under any one of the time indicators based on the meteorological element value of each benchmark meteorological element under any one of the time indicators within each second time range corresponding to the excessive ozone concentration.

[0081] According to one embodiment of the present invention, Figure 5 Each unit in the ozone prediction device shown can be individually or completely combined into one or several other units, or one (some) of the units can be further divided into multiple functionally smaller units, which can achieve the same operation without affecting the realization of the technical effects of the embodiments of the present invention.

[0082] Based on the description of the above method embodiment and device embodiment, the exemplary embodiment of the present invention further provides an electronic device, including: at least one processor; and a memory connected to the at least one processor in communication. The memory stores a computer program that can be executed by the at least one processor, and the computer program is used to enable the electronic device to perform the method according to the embodiment of the present invention when executed by the at least one processor.

[0083] An exemplary embodiment of the present invention further provides a computer program product, comprising a computer program, wherein when the computer program is executed by a processor of a computer, the computer is used to enable the computer to perform a method according to an embodiment of the present invention.

[0084] refer to Figure 6, a block diagram of an electronic device 600 that can be used as a server or client of the present invention will now be described, which is an example of a hardware device that can be applied to various aspects of the present invention. The electronic device is intended to represent various forms of digital electronic computer devices or various forms of mobile devices. The components shown herein, their connections and relationships, and their functions are only examples. Figure 6 As shown, the electronic device 600 includes a computing unit 601, which can perform various appropriate actions and processes according to a computer program stored in a read-only memory (ROM) 602 or a computer program loaded from a storage unit 608 into a random access memory (RAM) 603. In the RAM 603, various programs and data required for the operation of the electronic device 600 can also be stored. The computing unit 601, the ROM 602, and the RAM 603 are connected to each other through a bus 604. An input / output (I / O) interface 605 is also connected to the bus 604. Multiple components in the electronic device 600 are connected to the I / O interface 605, including: an input unit 606, an output unit 607, a storage unit 608, and a communication unit 609. The input unit 606 can be any type of device that can input information to the electronic device 600. The output unit 607 can be any type of device that can present information. The storage unit 608 can include, but is not limited to, a disk and an optical disk. The communication unit 609 allows the electronic device 600 to exchange information / data with other devices through a computer network such as the Internet and / or various telecommunication networks. In some embodiments, the computing unit 601 may be configured to perform the ozone prediction method in any other suitable manner (eg, by means of firmware).

[0085] Furthermore, it should be understood that what is disclosed above is only a preferred embodiment of the present invention, and certainly cannot be used to limit the scope of rights of the present invention. Therefore, equivalent changes made according to the claims of the present invention are still within the scope of the present invention.

Claims

1. An ozone prediction method, characterized in that: include: Acquiring target prediction data and prediction reference data, wherein the target prediction data includes target nitrogen dioxide data of a target area at a target prediction time, and the target nitrogen dioxide data includes at least one nitrogen dioxide concentration of the target area within a target judgment time interval corresponding to the target prediction time; Based on the target nitrogen dioxide data, determining the nitrogen dioxide concentration to be determined; Determining target nitrogen dioxide concentration judgment data of the target area at the target prediction time from the prediction reference data, one nitrogen dioxide concentration judgment data includes a plurality of nitrogen dioxide concentration reference indication data, and one nitrogen dioxide concentration reference indication data corresponds to one ozone concentration exceeding standard prediction index; Based on the nitrogen dioxide concentration to be judged and the target nitrogen dioxide concentration judgment data, target nitrogen dioxide concentration benchmark indication data is determined, and based on the target nitrogen dioxide concentration benchmark indication data, a target ozone concentration exceedance prediction index for the target area at the target prediction time is determined, and the target ozone concentration exceedance prediction index supports indicating whether the ozone concentration in the target area at the target prediction time exceeds the standard.

2. The method according to claim 1, characterized in that The prediction reference data includes reference data of the target area under each time index in at least one time index, and one reference data includes one nitrogen dioxide concentration judgment data; The step of determining the target nitrogen dioxide concentration judgment data of the target area at the target prediction time from the prediction reference data includes: Determine the time index to which the target prediction time belongs from the at least one time index; and determine the nitrogen dioxide concentration judgment data of the target area under the time index to which the target prediction time belongs from the prediction reference data; The nitrogen dioxide concentration judgment data of the target area at the time index to which the target prediction time belongs is used as the target nitrogen dioxide concentration judgment data of the target area at the target prediction time.

3. The method according to claim 1, characterized in that The prediction reference data includes reference data of the target area under each time index in at least one time index, one reference data includes one reference meteorological data, and one reference meteorological data includes the reference meteorological element range of each reference meteorological element in at least one reference meteorological element under the corresponding time index; The target prediction data also includes target meteorological data of the target area at the target prediction time; the method also includes: According to the time index to which the target forecast time belongs, determining a target reference meteorological element range of each target meteorological element in at least one target meteorological element from the forecast reference data, wherein the at least one target meteorological element includes at least one reference meteorological element under the time index to which the target forecast time belongs; Determine the target meteorological element value of each target meteorological element based on the target meteorological data, and judge whether the target meteorological data conforms to the target reference meteorological element range of each target meteorological element based on the target meteorological element value of each target meteorological element and the target reference meteorological element range; If the target meteorological data meets the target reference meteorological element range of each target meteorological element, triggering the execution of determining the nitrogen dioxide concentration to be determined based on the target nitrogen dioxide data; If the target meteorological data does not meet the target benchmark meteorological element range of each target meteorological element, the target ozone concentration exceedance prediction index is determined to be the ozone concentration non-exceedance index.

4. The method according to any one of claims 1 to 3, characterized in that: The prediction benchmark data includes benchmark data of the target area under each time index in at least one time index, one benchmark data includes one nitrogen dioxide concentration judgment data, and one time index corresponds to at least one first time range; the acquisition of the prediction benchmark data includes: Acquire historical nitrogen dioxide concentration data and historical ozone concentration data, wherein the historical nitrogen dioxide concentration data includes a set of nitrogen dioxide concentration data within each first time range of the target area in the historical time range, and the historical ozone concentration data includes a set of ozone concentration data within each first time range of the target area; For any time index among the at least one time index, a first ozone concentration subset under the any time index is screened out from the ozone concentration data set within each first time range corresponding to the any time index; and a nitrogen dioxide concentration subset under the any time index is screened out from the nitrogen dioxide concentration data set within each first time range corresponding to the any time index; Based on the first ozone concentration subset, determining at least one ozone concentration exceeding standard time range and at least one ozone concentration non-exceeding standard time range from at least one first time range corresponding to any one of the time indicators; Based on the nitrogen dioxide concentration subset, respectively determine the nitrogen dioxide concentration of each ozone concentration exceeding standard time range in the at least one ozone concentration exceeding standard time range under each of the multiple to-be-determined time interval indicators; and based on the nitrogen dioxide concentration subset, respectively determine the nitrogen dioxide concentration of each ozone concentration non-exceeding standard time range in the at least one ozone concentration non-exceeding standard time range under each of the to-be-determined time interval indicators; Based on the nitrogen dioxide concentration in the each ozone concentration exceeding time range under the each pending time interval index, and the nitrogen dioxide concentration in the each ozone concentration non-exceeding time range under the each pending time interval index, the nitrogen dioxide concentration judgment data under any time index is determined, and the nitrogen dioxide concentration judgment data under any time index is added to the benchmark data of the target area under any time index, so as to realize the acquisition of predicted benchmark data.

5. The method according to claim 4, characterized in that The determining of the nitrogen dioxide concentration judgment data under any time index based on the nitrogen dioxide concentration under each to-be-determined time interval index in each ozone concentration exceeding time range, and the nitrogen dioxide concentration under each to-be-determined time interval index in each ozone concentration non-exceeding time range, includes: Based on the nitrogen dioxide concentrations in the respective ozone concentration exceeding time ranges under the respective to-be-determined time interval indicators, respectively calculate the interval nitrogen dioxide exceeding concentrations under the respective to-be-determined time interval indicators; and based on the nitrogen dioxide concentrations in the respective ozone concentration non-exceeding time ranges under the respective to-be-determined time interval indicators, respectively calculate the interval nitrogen dioxide non-exceeding concentrations under the respective to-be-determined time interval indicators; Based on the interval nitrogen dioxide excess concentration and the interval nitrogen dioxide non-excess concentration under the each to-be-determined time interval indicator, respectively calculate the nitrogen dioxide concentration difference under the each to-be-determined time interval indicator; Based on the difference in nitrogen dioxide concentration under each pending time interval indicator, the pending time interval indicator with the largest difference in nitrogen dioxide concentration is selected from the multiple pending time interval indicators, and based on the interval nitrogen dioxide exceeding standard concentration under the selected pending time interval indicator, the nitrogen dioxide concentration judgment data under any time indicator is determined; wherein, the selected pending time interval indicator is the benchmark time interval indicator under any time indicator, and the target judgment time interval is determined based on the benchmark time interval indicator under the time indicator to which the target prediction time belongs.

6. The method according to claim 4, characterized in that A baseline data also includes a baseline meteorological data; the method also includes: Acquire historical meteorological data, wherein the historical meteorological data includes a meteorological element data set of the target area within each of the first time ranges, and one meteorological element data set includes at least one meteorological element value of each of a plurality of meteorological elements within the corresponding first time range; Based on the historical meteorological data and the historical ozone concentration data, respectively determine at least one reference meteorological element under the any time index from the multiple meteorological elements, and respectively determine the reference meteorological element range of each reference meteorological element in the at least one reference meteorological element under the any time index; The benchmark meteorological element range of each benchmark meteorological element under any time index is added to the benchmark meteorological data of the target area under any time index, so that the benchmark meteorological data of the target area under any time index includes the benchmark meteorological element range of each benchmark meteorological element under any time index.

7. The method according to claim 6, characterized in that The determining, based on the historical meteorological data and the historical ozone concentration data, at least one benchmark meteorological element under any time index from the plurality of meteorological elements respectively includes: Determine a meteorological element data set within each first time range corresponding to any time index from the historical meteorological data, and add the meteorological element value of each meteorological element in the meteorological element data set within each first time range corresponding to any time index to the meteorological element subset of the corresponding meteorological element; Determine from the historical ozone concentration data a set of ozone concentration data within each first time range corresponding to any time index, and add each ozone concentration in the set of ozone concentration data within each first time range corresponding to any time index to the second ozone concentration subset; Performing correlation analysis on the meteorological element subsets of the meteorological elements and the second ozone concentration subset respectively to obtain correlation analysis results of the meteorological elements, wherein the correlation analysis result of one meteorological element is a correlation analysis result between the corresponding meteorological element and ozone; Based on the correlation analysis results of the various meteorological elements, at least one benchmark meteorological element under the any time index is determined from the multiple meteorological elements, and the correlation analysis results of each benchmark meteorological element in the at least one benchmark meteorological element under the any time index are greater than or equal to the correlation analysis results of any meteorological element in the multiple meteorological elements except the at least one benchmark meteorological element under the any time index.

8. The method according to claim 6, characterized in that A meteorological element value is a meteorological element value within a second time range included in a first time range, an ozone concentration data set includes at least one ozone concentration of the target area within the corresponding first time range, and an ozone concentration is an ozone concentration within a second time range included in a first time range; the step of respectively determining the reference meteorological element range of each reference meteorological element in at least one reference meteorological element under any time index includes: Based on the ozone concentration data set within each first time range corresponding to the any time indicator, determining each second time range corresponding to the excessive ozone concentration from at least one first time range corresponding to the any time indicator, wherein the excessive ozone concentration refers to an ozone concentration greater than a preset ozone concentration threshold; Determine, from the meteorological element data set within each first time range corresponding to the any time index, the meteorological element value of each benchmark meteorological element in at least one benchmark meteorological element under the any time index within each second time range corresponding to the excessive ozone concentration; The benchmark meteorological element range of each benchmark meteorological element under any time index is determined based on the meteorological element value of each benchmark meteorological element under any time index within each second time range corresponding to the excessive ozone concentration.

9. An ozone prediction device, characterized in that: The device comprises: an acquisition unit, configured to acquire target prediction data and prediction reference data, wherein the target prediction data includes target nitrogen dioxide data of a target area at a target prediction time, and the target nitrogen dioxide data includes at least one nitrogen dioxide concentration of the target area within a target judgment time interval corresponding to the target prediction time; A processing unit, configured to determine a nitrogen dioxide concentration to be determined based on the target nitrogen dioxide data; The processing unit is further used to determine the target nitrogen dioxide concentration judgment data of the target area at the target prediction time from the prediction reference data, one nitrogen dioxide concentration judgment data includes a plurality of nitrogen dioxide concentration reference indication data, and one nitrogen dioxide concentration reference indication data corresponds to one ozone concentration exceeding standard prediction index; The processing unit is further used to determine target nitrogen dioxide concentration benchmark indication data based on the nitrogen dioxide concentration to be determined and the target nitrogen dioxide concentration judgment data, and to determine a target ozone concentration exceeding standard prediction index for the target area at the target prediction time based on the target nitrogen dioxide concentration benchmark indication data, wherein the target ozone concentration exceeding standard prediction index supports indicating whether the ozone concentration in the target area at the target prediction time exceeds the standard.

10. An electronic device, characterized in that: include: processor; as well as Memory for storing programs, The program includes instructions, which, when executed by the processor, cause the processor to perform the method according to any one of claims 1 to 8.

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