Graphical data presentation method and computer device

Abstract

The application provides a graphical data display method and a computer device, the method comprising: acquiring monitoring data representing atmospheric components of a monitoring site within a specified time period, and trajectory data representing a moving path of an air mass passing through the monitoring site at any target moment within the specified time period; graphically displaying a display interface comprising the monitoring data and the trajectory data; wherein the display interface comprises a parent graph generated by the monitoring data within the specified time period, and a subgraph generated by the trajectory data at any target moment; the subgraph and the parent graph have a correlation relationship at the same target moment. By displaying the monitoring data of the atmospheric components and the corresponding trajectory data in the same display interface, the relationship between the change of the atmospheric components and the movement of the air mass can be more intuitively displayed, which is beneficial to researchers to carry out spatiotemporal fusion analysis.

Description

Technical Field

[0001] This specification relates to the technical field of computer data processing, specifically to a method for displaying graphical data and a computer device. Background Technology

[0002] There is a certain correlation between atmospheric pollutant data and air mass trajectories related to meteorological conditions. Existing techniques typically use different charts to display atmospheric pollutant data and air mass trajectory data separately. For example, existing techniques use spatial coordinate systems including longitude and latitude axes to display changes in air mass trajectories, and coordinate systems including time and atmospheric pollutant concentration axes to display changes in atmospheric pollutant concentrations. Therefore, displaying atmospheric pollutant data and air mass trajectory data through different charts, to some extent, severs the connection between atmospheric pollutant data and their corresponding air mass trajectory data, hindering researchers from intuitively conducting collaborative analysis of atmospheric pollutant data and meteorological condition-related air mass trajectory data. Summary of the Invention

[0003] In view of this, various embodiments of this specification aim to provide a method and computer device for displaying graphical data, so as to provide a method that, to a certain extent, facilitates researchers in performing spatiotemporal fusion analysis of the relationship between monitoring data of atmospheric components and air mass trajectories.

[0004] This specification provides a method for displaying graphical data. The method includes: acquiring monitoring data representing atmospheric components at a monitoring station within a specified time period, and trajectory data representing the movement path of an air mass passing through the monitoring station at any target time within the specified time period; graphically displaying a display interface including the monitoring data and the trajectory data; wherein the display interface includes a master map generated from the monitoring data within the specified time period, and a sub-map generated from the trajectory data at any target time; the sub-map and the master map are correlated at the same target time.

[0005] This specification provides a method for displaying graphical data. The method includes: providing a sub-map generated from trajectory data representing the movement path of an air mass passing through a monitoring station at any target time within a specified time period, and a master map generated from monitoring data of atmospheric components at the monitoring station within the specified time period; in the display interface, the sub-map and the master map are associated at the same target time.

[0006] This specification provides a graphical data display device, comprising: an acquisition module for acquiring monitoring data representing atmospheric composition at a monitoring station within a specified time period, and trajectory data representing the movement path of an air mass passing through the monitoring station at any target time within the specified time period; and a display module for graphically displaying a display interface including the monitoring data and the trajectory data; wherein the display interface includes a master map generated from the monitoring data within the specified time period, and a sub-map generated from the trajectory data at any target time; the sub-map and the master map are correlated at the same target time.

[0007] This specification provides a graphical data display device, comprising: a display module for providing a sub-map generated from trajectory data representing the movement path of an air mass passing through a monitoring station at any target time within a specified time period, and a master map generated from monitoring data of atmospheric components at the monitoring station within the specified time period; wherein the sub-map and the master map are associated at the same target time.

[0008] This specification provides a computer device including a memory and a processor, wherein the memory stores a computer program, and the processor executes the computer program to implement the method described in the embodiment.

[0009] This specification provides a computer-readable storage medium having a computer program stored thereon, which, when executed by a processor, implements the methods described in the embodiments.

[0010] By displaying a master map generated from monitoring data of atmospheric components from a monitoring station within a specified time period, and a sub-map generated from trajectory data of an air mass passing through the monitoring station at any target time within the specified time period, the relationship between the master map and the sub-map can more intuitively demonstrate the spatiotemporal relationship between the monitoring data and the air mass trajectory, which is beneficial for researchers to conduct spatiotemporal fusion analysis. Attached Figure Description

[0011] Figure 1 The diagram shown is a schematic of a display interface provided in one embodiment.

[0012] Figure 2 The diagram shows the interaction between different ends in a scenario example provided by one implementation method.

[0013] Figure 3 The diagram shown is a schematic of a display interface provided in one embodiment.

[0014] Figure 4 The diagram shown is a flowchart illustrating a graphical data display method provided in one embodiment. Detailed Implementation

[0015] To enable those skilled in the art to better understand the solutions described in this specification, the technical solutions in the embodiments of this specification will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only a part of the embodiments of this specification, and not all of them. Based on the embodiments in this specification, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of this specification.

[0016] Please see Figure 1 and Figure 2 In the scenario example of the graphical data display system provided in this specification, the user may be an environmental professional who needs to perform spatiotemporal analysis based on monitoring data of atmospheric components from a monitoring station within a specified time period, and trajectory data representing the movement path of an air mass passing through the monitoring station at any target time within the specified time period. The graphical data display system may include a client and a server. The server may store the monitoring data and air mass trajectory data within the specified time period. The user can set corresponding configuration information according to their needs to display a user-required interface on the client. Of course, in some embodiments, the data processing and display interface configuration processes may also be performed only on the client.

[0017] The monitoring data for atmospheric components can be atmospheric pollutant data. The graphical data display system can first acquire monitoring data representing the concentration of atmospheric pollutants within a specified time period, and trajectory data representing the movement path of an air mass passing through the monitoring station at any target time within the specified time period. The air mass carries a certain concentration of atmospheric pollutants. The atmospheric pollutant data can include, but is not limited to, PM2.5. 2.5 Data on the concentration or proportion of particulate matter (with a diameter of 2.5 micrometers or less) and its components, VOCs (volatile organic compounds) and their components, or the contribution concentration or proportion of pollution sources such as industrial sources, dust sources, mobile sources, coal-fired sources, and residential sources to air pollutants. The temporal resolution of the air pollutant data can also be set according to user needs. The trajectory data can be the forward or backward trajectory of a monitoring station during a pollution process period, calculated based on a model, and related data attached to the trajectory, including but not limited to air mass height, temperature, relative humidity, precipitation, mixing layer height, and solar radiation flux.

[0018] Next, the graphical data display system can construct a target coordinate system. Furthermore, the system can determine the coordinates of the monitoring data of air pollutants within a specified time period and the trajectory data of air masses passing through the monitoring station at a target time within the target coordinate system. Based on these coordinates, it generates a master map representing the changes in the monitoring data within the specified time period and a sub-map representing the movement path of an air mass passing through the monitoring station at any target time.

[0019] Specifically, the target coordinate system may include an X-axis representing time and a PM-axis representing PM. 2.5 The concentration is represented by the Y-axis. The coordinates of the monitoring data in the target coordinate system can be determined based on the values ​​of the monitoring data at different times.

[0020] The trajectory data can correspond to a spatial coordinate system. The spatial coordinate system may include coordinate axes representing longitude and coordinate axes representing latitude. The trajectory data can be represented by longitude and latitude values. According to coordinate transformation rules, the trajectory data can be mapped to a target coordinate system. Specifically, the graphical data display system can determine the proportion of each coordinate within the range represented by the longitude and latitude values ​​corresponding to each trajectory point in the spatial coordinate system, and the range of longitude and latitude values ​​that the corresponding coordinate axes can represent. Then, based on the proportion of each coordinate, coordinates with the same proportion are determined in the target coordinate system as the transformed coordinates. According to the coordinate transformation rules between the target coordinate system and the spatial coordinate system, the trajectory data can be mapped to the target coordinate system.

[0021] After mapping the trajectory data to the target coordinate system, the graphical data display system can calculate the distance between the coordinates of the specified trajectory point representing the location of the monitoring station in the trajectory data of any air mass and the coordinates of the monitoring data point corresponding to the same target time as the air mass. Then, it translates all the trajectory point data of the air mass according to the distance so that the coordinates of the specified trajectory point data coincide with the coordinates of the monitoring data point corresponding to the same target time as the air mass.

[0022] Based on the trajectory data of the translated air mass, a sub-map of the corresponding air mass can be generated. Furthermore, the sub-map and the parent map at any target time can intersect at a single monitoring data point; the monitoring data point and the sub-map belong to the same target time. The positional relationship between the sub-map and the parent map reveals the correlation between sub-maps and the parent map at the same target time, facilitating spatiotemporal fusion analysis by researchers.

[0023] In some embodiments, the target coordinate system may further include a secondary coordinate axis for illustrating the spatial information of the sub-map. Correspondingly, the graphical data display system may also use the maximum and minimum values ​​of time, atmospheric pollutant concentration, and the longitude and latitude of the air mass trajectory as the boundary values ​​of the corresponding primary and secondary coordinate axes. When the air mass trajectory formed by the trajectory data exceeds the coordinate plane, the boundary values ​​of the X-axis or Y-axis of the primary and secondary coordinate axes are adjusted proportionally according to the difference between the maximum and minimum values, so that the trajectory is displayed more completely in the graph.

[0024] In some cases, graphical data display systems can also divide monitoring data representing air pollutant concentrations into multiple pollution stages based on air mass trajectory data. Specifically, the system can calculate the differences between the maximum and minimum longitudes, the differences between the maximum and minimum latitudes, and the cumulative altitude along the movement paths of air masses passing through monitoring stations at different target times, based on air mass trajectory data. Then, based on the longitude, latitude, and cumulative altitude differences of the air mass corresponding to different target times, the system calculates the changes in these differences between different target times. When significant turning points occur in the changes of longitude, latitude, and cumulative altitude over time, the target time corresponding to these turning points is used as the critical target time for classifying pollution stages.

[0025] Please see Figure 3 The graphical data display system can show the correspondence between target time and longitude difference, latitude difference, and cumulative altitude in the form of line graphs, as well as statistical charts of the changes in longitude difference, latitude difference, and cumulative altitude as the target time changes. The X-axis of the statistical chart represents time. The multiple Y-axis of the statistical chart can represent the longitude difference, latitude difference, and cumulative altitude, respectively, corresponding to curves for these values. Furthermore, for the critical target time, different pollution stages can be delineated by dashed lines perpendicular to the X-axis that intersect the lines representing the changes in longitude difference, latitude difference, and cumulative altitude.

[0026] The above description is merely a scenario example provided in this specification and is not intended to limit the present invention. Any modifications, equivalent substitutions, etc., made within the spirit and principles of the present invention should be included within the protection scope of the present invention.

[0027] Please see Figure 2This specification provides a graphical data display system. The graphical data display system may include a client and a server. The client may be an electronic device with network access capabilities. Specifically, for example, the client may be a desktop computer, tablet computer, laptop computer, smartphone, digital assistant, smart wearable device, shopping guide terminal, television, smart speaker, microphone, etc. Smart wearable devices include, but are not limited to, smart bracelets, smartwatches, smart glasses, smart helmets, smart necklaces, etc. Alternatively, the client may be software that can run on the aforementioned electronic device. The server may be an electronic device with certain computing power. It may have a network communication module, processor, and memory, etc. Of course, the aforementioned server may also refer to software running on the aforementioned electronic device. The aforementioned server may also be a distributed server, which may be a system with multiple processors, memory, network communication modules, etc., operating collaboratively. Alternatively, the server may also be a server cluster formed by several servers. Alternatively, with the development of science and technology, the server may also be a new technical means capable of realizing the corresponding functions of the embodiments described in this specification. For example, it may be a new form of "server" based on quantum computing. Of course, in some embodiments, the graphical data display system may only include a client. The client can be used to execute the graphical data display methods performed by the graphical data display system.

[0028] Please see Figure 1 and Figure 4 This specification provides a method for displaying graphical data, which may include the following steps.

[0029] Step S110: Obtain monitoring data representing the atmospheric composition of the monitoring station within a specified time period, and trajectory data representing the movement path of an air mass passing through the monitoring station at any target time within the specified time period.

[0030] Before displaying graphical data, it is necessary to obtain monitoring data of related atmospheric components and trajectory data representing the movement path of air masses, so as to further display the graphics generated by the monitoring data and trajectory data in the display interface for researchers to conduct spatiotemporal fusion analysis.

[0031] The atmospheric composition can represent the composition of various substances in the atmosphere. For example, the atmospheric composition may include PM in the atmosphere. 2.5 (particulate matter with a particle size of 2.5 micrometers or less), PM 10The monitoring system detects pollutants such as particulate matter (with a diameter of 10 micrometers or less), CO, SO2, NO2, O3, and VOCs (volatile organic compounds), as well as greenhouse gases such as CO2, CH4, and N2O. The atmospheric composition at the monitoring station within a specified time period represents the changes in atmospheric composition at the station's location during that specified time period.

[0032] The monitoring data can represent data obtained by monitoring the atmosphere at the location of the monitoring station. Specifically, the monitoring data can include numerical information of atmospheric components at multiple time points within a specified time period. Based on the numerical information of atmospheric components at these multiple time points, the changes in atmospheric components over time can be determined. For example, the monitoring data can represent air pollutant data. Specifically, the monitoring data can represent PM2.5 concentrations in the atmosphere at each hourly interval monitored by the monitoring station within a week. 2.5 Concentration. Based on PM2.5 concentration at every hour on the hour throughout the week. 2.5 Concentration can be used to obtain the PM2.5 concentration of the atmosphere within a certain range represented by the monitoring station over a week. 2.5 Changes in concentration. In some embodiments, the monitoring data may also include PM2.5 concentrations such as organic matter, sulfates, nitrates, and ammonium salts. 2.5 Components in PM 2.5 The proportion of.

[0033] In some implementations, the time points at which the monitoring station obtains information on the corresponding atmospheric components, i.e., multiple time points within the specified time period that contain numerical information on the corresponding atmospheric components, can be used as the target time for the information on the corresponding atmospheric components.

[0034] The trajectory data can be used to represent the movement path of an air mass. The trajectory data may include several trajectory point data points. Each trajectory point data point may include temporal and spatial information. The trajectory point data may represent the location of the air mass at a specific point in time. In some embodiments, the trajectory point data may also include some air mass characteristics at the corresponding time and location. For example, the air mass characteristics may include air mass height, temperature, relative humidity, precipitation, mixing layer height, solar radiation flux, etc.

[0035] The specified time period may include multiple sets of trajectory data, each corresponding to a different air mass. The target time for each air mass to pass through the monitoring station is different. Different sets of trajectory data can represent the movement paths of air masses passing through the monitoring station at different target times. The target time can be a point in time within the specified time period. In some embodiments, different target times correspond to monitoring data at the target time and trajectory data of the air mass passing through the monitoring station at the target time.

[0036] In some implementations, the trajectory data can represent the movement path of an air mass passing through the monitoring station at the target time, either before or after the target time. Specifically, for example, the trajectory data can be calculated based on a model and can be used to represent the backward trajectory of an air mass passing through the monitoring station at the target time. For example, the trajectory data can represent the movement path of the air mass over the past 24 hours. Correspondingly, the trajectory point data can represent the location information of the air mass and the corresponding time at one-hour intervals over the past 24 hours. Of course, the trajectory data can also represent the forward trajectory of an air mass passing through the monitoring station at the target time. In some implementations, according to user needs, information such as the interval time between different trajectory point data and the number of trajectory point data can be set.

[0037] The trajectory data can be calculated using a model. Specifically, for example, the trajectory data can be calculated using the HYSPLIT model. Of course, the trajectory data can also be collected by relevant devices.

[0038] The method of obtaining monitoring data representing the atmospheric composition of a monitoring station within a specified time period can be by acquiring the monitoring data of the monitoring station in real time. The method of obtaining trajectory data representing the movement path of an air mass passing through the monitoring station at any target time within the specified time period can be through model calculation. For example, it can be calculated using the HYSPLIT model. Alternatively, the monitoring data representing the atmospheric composition of a monitoring station within a specified time period, and the trajectory data representing the movement path of an air mass passing through the monitoring station at any target time within the specified time period, can also be obtained from a database containing the relevant data.

[0039] Step S120: A graphical display interface including the monitoring data and the trajectory data is provided; wherein, the display interface includes a master map generated from the monitoring data within a specified time period, and a sub-map generated from the trajectory data at any target time; the sub-map and the master map are related at the same target time.

[0040] After acquiring trajectory data representing the movement path of an air mass, and monitoring data of atmospheric components from monitoring stations within a specified time period, these data can be graphically displayed on the same interface to demonstrate the correlation between the trajectory data and the monitoring data, thus facilitating spatiotemporal fusion analysis by researchers. The sub-map can be generated based on the trajectory data of air masses passing through the monitoring station at a target time. The sub-map can represent the movement path of the air mass. Sub-maps corresponding to the movement trajectories of different air masses can be generated based on the trajectory data of air masses passing through the monitoring station at different target times.

[0041] The master map can be generated based on monitoring data from different target times within a specified time period. In some embodiments, monitoring data from different target times can generate corresponding monitoring data points on the display interface. The monitoring data points can be a graph formed from monitoring data at the target time. Connecting the monitoring data points in chronological order can form the master map. For example, the monitoring data may include PM2.5 concentrations of the atmosphere monitored at different target times. 2.5 Concentration. Accordingly, the monitoring data points can represent PM2.5 concentrations in the atmosphere at different target times, used to illustrate these concentrations on the display interface. 2.5 A graph of concentration. Connecting adjacent target times sequentially represents atmospheric PM2.5. 2.5 The concentration monitoring data points can provide information indicating the location of the atmospheric PM2.5 concentration at the monitoring station. 2.5 A line graph showing the concentration change over time. This line graph can serve as the master graph. In some embodiments, the monitoring data may also include information on multiple atmospheric components at different target times. Specifically, for example, the monitoring data may include atmospheric PM2.5 measured by monitoring stations at different target times. 2.5 Concentration and PM 2.5 The proportions of its various components. Please refer to... Figure 1 The display interface can also present information on various atmospheric components, making it easier for researchers to conduct spatiotemporal fusion analysis. Specifically, the master image can include representations of PM2.5. 2.5 Graph 102 showing the change in concentration over time and representing PM2.5 concentration. 2.5 Graph 104 showing the change in component concentration over time.

[0042] For example, it represents PM 2.5 A graph showing the concentration change over time can be a graph consisting of PM2.5 concentrations changing over time. 2.5 A line graph composed of concentration values. The line graph may include PM values ​​representing different target times. 2.5 The monitoring data points for PM2.5 concentration. The display interface shows the PM2.5 concentration in the atmosphere at the target time. 2.5 The monitoring data points for concentration, and the PM2.5 concentration at the target time. 2.5 The line segments formed between data points with a concentration value of 0 can be used to represent the PM at the target time. 2.5 Graphical representation of components. Representation of PM at different target times. 2.5 A graph of the components can be used to represent PM. 2.5 The relationship between component changes over time.

[0043] In some implementations, by sequentially connecting line segments representing components at different target times, a graph 104 showing the concentration change of a component over time can be obtained. Within the line segments representing component concentration information, the endpoints of sub-segments representing the same component can be connected in chronological order of the target times to obtain multiple packing area maps representing different components. In some cases, filling each packing area map with a different color can better characterize PM. 2.5 The relationship between the changes of different components over time.

[0044] A method for graphically displaying the monitoring data and trajectory data includes constructing a target coordinate system and mapping the monitoring data and trajectory data to the target coordinate system according to a preset mapping rule to obtain the corresponding coordinates. Sub-maps and master maps are then generated and displayed based on the coordinate points. In some embodiments, the target coordinate system may have a primary coordinate axis and a secondary coordinate axis. The primary and secondary coordinate axes can illustrate the meaning of the coordinates in the target coordinate system from different dimensions. Specifically, for example, the primary coordinate axis may include a time coordinate axis and a coordinate axis representing atmospheric components. The secondary coordinate axis may include a longitude coordinate axis and a latitude coordinate axis. Based on the primary coordinate axis and the data points in the master map, the values ​​of the monitoring data for atmospheric components at different times can be determined. In some embodiments, sub-maps generated corresponding to air masses arriving at the monitoring station at different target times can display secondary coordinate axes illustrating the spatial information represented by the sub-maps. Based on the secondary coordinate axes and the data points in the sub-maps, the longitude and latitude of the air mass movement path can be determined. Of course, in some implementations, coordinate axes may not be constructed, and the relationship between atmospheric components and air mass trajectories may be shown by the relative positional relationship between the trajectory data and the monitoring data.

[0045] In the display interface, the sub-map and the parent map are correlated at the same target time. This correlation can be used to display the correspondence between atmospheric component data monitored by the monitoring station at the target time and the movement paths of air masses affecting the atmospheric components, thus facilitating researchers to conduct spatiotemporal fusion analysis on the same display interface.

[0046] The correlation can be achieved by setting the sub-maps of the same target time and the corresponding monitoring data points of the same target time to the same color, so as to show the correspondence between the monitoring data at the target time and the air masses passing through the monitoring station at the target time.

[0047] In some implementations, the correlation can also be a correspondence between monitoring data points corresponding to the same target time and the display positions of sub-graphs on the display interface. Specifically, for example, monitoring data points corresponding to the same target time and sub-graphs may intersect at a specified location. By establishing a correlation between monitoring data points at the same target time and sub-graphs on the display interface, the correlation between the atmospheric composition information represented by the monitoring data points at the same target time and the movement path of air masses passing through the monitoring station at the target time can be illustrated. Researchers can conduct spatiotemporal fusion analysis more intuitively based on this correlation.

[0048] In some implementations, the association may include: the subgraph at any target time and the parent graph intersect at a monitoring data point; the monitoring data point and the subgraph belong to the same target time.

[0049] The trajectory data of an air mass passing through the monitoring station at the target time corresponds to the monitoring data of atmospheric composition at the same monitoring station at the same target time. Therefore, whether the relationship between the two can be intuitively shown in the display interface has a significant impact on improving the intuitiveness of researchers' fusion analysis of air mass trajectories and atmospheric composition.

[0050] Therefore, in the process of graphically displaying the interface that includes the monitoring data and the trajectory data, it is possible to set that the sub-graph generated by the trajectory data corresponding to the same target time and the monitoring data point have an intersection point to indicate the correspondence between the two.

[0051] Specifically, the trajectory data of an air mass passing through the monitoring station at any target time can include multiple trajectory point data. Each trajectory point data can represent the position of the air mass at different times during its movement. The trajectory point data can include target trajectory point data representing the position of the air mass at the corresponding target time, that is, the target trajectory point data can represent the location of the monitoring station. In the sub-graph, the trajectory points representing the monitoring station's location generated from the target trajectory point data can overlap with the monitoring data points representing the monitoring data at the target time in the parent graph, indicating a correlation between the trajectory of the air mass passing through the monitoring station at the corresponding target time and the monitoring data of the atmospheric components at the same monitoring station at the same target time.

[0052] In some implementations, the trajectory data of an air mass passing through the monitoring station at any target time includes multiple trajectory point data representing the location of the air mass at different times; the sub-graph includes a trajectory segment formed by two temporally adjacent trajectory point data; the step of graphically displaying a display interface including the monitoring data and the trajectory data includes: setting a color for the trajectory segment according to the air mass attribute value when the air mass is within the spatial range represented by the trajectory segment; wherein, the air mass attribute value corresponding to trajectory segments of different colors is different.

[0053] Based on the trajectory point data, multiple trajectory points can be generated in the display interface. Connecting trajectory points corresponding to the same air mass in chronological order forms trajectory segments, which are then used to generate the sub-map. Each trajectory segment can be used to illustrate the movement path of the air mass within the time period corresponding to adjacent trajectory points.

[0054] Air mass trajectory data can include information across multiple dimensions. For example, in addition to the time and location information of the air mass during its movement, the trajectory data can also include information such as air mass height, temperature, relative humidity, precipitation, mixing layer height, and solar radiation flux. In some cases, the display interface can include a coordinate system, where multiple axes can each represent one dimension of information. When the number of dimensions of information included in the trajectory data exceeds the number of dimensions that the coordinate system can represent, the characteristics of the graph generated from the trajectory data can be used to display more information on the same interface. The multiple dimensions of information can represent the characteristics of the air mass during its movement. The values ​​of these characteristics can be used as air mass attribute values. For example, air mass attribute values ​​can be air mass height, temperature, and humidity values.

[0055] In some implementations, the color of a trajectory segment can clearly indicate the air mass's attribute values ​​when it is within the spatial range represented by the trajectory segment. The color can be either full color or grayscale. Specifically, for example, the color of the trajectory segment can be used to indicate the air mass's altitude information when it is within the area represented by the trajectory segment. Different color levels can correspond to different altitude values. The altitude value can represent the average altitude of the air mass within the time period corresponding to the trajectory segment. Alternatively, in some implementations, the altitude value of the air mass at a trajectory point within the trajectory segment can also characterize the air mass's altitude within the spatial range of the trajectory segment. Correspondingly, a corresponding color can be assigned to the trajectory segment based on the altitude value of the trajectory point.

[0056] In some embodiments, the graphical data display method may further include: specifying a target time for filtering the trajectory data; wherein the trajectory data of air masses passing through the monitoring station at the specified target time is used as the filtered trajectory data; correspondingly, the step of graphically displaying a display interface including the monitoring data and the trajectory data includes: graphically displaying a display interface including the monitoring data and the filtered trajectory data. In the display interface, the sub-graph generated by the trajectory data can be a trajectory line representing the movement path of the air mass. When displaying the trajectory line corresponding to the monitoring data at each target time in the display interface, there will be many trajectory lines, which are relatively messy and not conducive to researchers conducting spatiotemporal fusion analysis.

[0057] Therefore, in this embodiment, a target time can be specified for filtering the trajectory data, and a sub-graph generated from the trajectory data corresponding to the target time can be displayed in the graphical display, so as to a certain extent, the graph generated from the air mass trajectory data will not be too messy and affect the researchers' analysis.

[0058] The specified target time can represent the target time corresponding to the trajectory data that needs to be graphically displayed in the interface. Correspondingly, the filtered trajectory data can represent the movement trajectory of air masses passing through the monitoring station at the specified target time. Trajectory data for air masses that do not pass through the monitoring station at the specified target time can be omitted from the display interface to avoid generating too many sub-graphs that would affect researchers' analysis.

[0059] Specifying a target time for filtering the trajectory data can be set according to user configuration information. For example, it can be set to randomly display only the graphs generated from 50% of the trajectory data in the display interface. Correspondingly, 50% of the target times can be randomly selected as the specified target times within a specified time period. Of course, specifying a target time for filtering the trajectory data can also be done by setting a time interval. Based on the time interval, target times that satisfy the time interval are selected as the specified target times within the specified time period. Correspondingly, the sub-graphs generated from the filtered trajectory data corresponding to the specified target times are graphically displayed in the display interface.

[0060] In some embodiments, the master graph is located in a target coordinate system, which includes coordinate axes representing time; the step of graphically displaying a display interface including the monitoring data and the trajectory data includes: determining the coordinates of the monitoring data in the target coordinate system so that the monitoring data forms the master graph; determining the display position of the sub-graphs in the target coordinate system; wherein, any sub-graph intersects with the master graph; wherein, the coordinates of any intersection point correspond to the target time of the corresponding sub-graph.

[0061] The master map and the sub-map can be located in a target coordinate system, which can be used to indicate the information value corresponding to each point in the master map and / or the sub-map. Specifically, the target coordinate system may include a time axis. The time axis can be used to indicate the monitoring time corresponding to the monitoring data representing atmospheric components in the master map. The monitoring time can represent the acquisition time of the monitoring data. In some embodiments, the time axis can also be used to indicate the target time corresponding to the sub-map. Specifically, for example, the sub-map may include trajectory points representing the location of an air mass at a monitoring station. Accordingly, the time corresponding to the trajectory points can be determined based on the time axis. Accordingly, the target time corresponding to the sub-map can be determined based on the time.

[0062] The coordinates of the monitoring data are determined in the target coordinate system. This can be done by determining the coordinates in the target coordinate system based on the coordinate axes and the values ​​of the monitoring data, in order to generate the master map. Specifically, for example, the target coordinate system can be a two-dimensional coordinate system, and also includes a representation of PM. 2.5 Concentration on a coordinate axis. Correspondingly, based on PM levels monitored at different times... 2.5 Concentration monitoring data can determine multiple coordinates. Connecting these multiple coordinates forms the master map. The coordinates corresponding to monitoring data at different times can generate the monitoring data points.

[0063] The method for determining the display position of the sub-graph in the target coordinate system can be based on a predefined association between the sub-graph and the parent graph. Specifically, for example, the target time corresponding to the sub-graph can be the time corresponding to the trajectory point representing the monitoring station location on the time-representing coordinate axis within the sub-graph. Correspondingly, the position of the sub-graph can be set to the position representing the target time on the corresponding time coordinate axis. In some embodiments, the position of the sub-graph can also be the position where a specified point in the sub-graph coincides with a monitoring data point corresponding to the same target time.

[0064] In some embodiments, the target coordinate system includes coordinate axes representing atmospheric components; the trajectory data includes trajectory point data in a spatial coordinate system; wherein the spatial coordinate system is different from the target coordinate system; the step of determining the display position of the sub-map in the target coordinate system includes: mapping the trajectory data to the target coordinate system according to the coordinate transformation rules between the target coordinate system and the spatial coordinate system; translating the trajectory data of the air mass passing through the monitoring station at any target time in the target coordinate system, such that the sub-map formed based on the trajectory data intersects with the parent map, and the intersection point corresponds to the target time of the corresponding sub-map; wherein the intersection point is used to represent the position of the air mass corresponding to the corresponding sub-map at the corresponding target time, and the intersection point is also used to represent the monitoring data of the monitoring station at the corresponding target time.

[0065] The target coordinate system may include coordinate axes representing atmospheric composition and coordinate axes representing time. Based on atmospheric composition data at a given time point, the corresponding coordinates in the target coordinate system can be determined. Therefore, by matching time and atmospheric composition data, the coordinates of the monitoring data in the target coordinate system can be determined.

[0066] The trajectory data may include the location information of the air mass. For example, the trajectory data may include the latitude and longitude values ​​of air masses passing through the monitoring station at specified intervals. Accordingly, the trajectory data can be displayed in a spatial coordinate system. This spatial coordinate system may include coordinate axes representing longitude and coordinate axes representing latitude.

[0067] To display the sub-map generated from trajectory data and the master map generated from monitoring data on the same interface, the trajectory data can be mapped to the target coordinate system. Specifically, the method for mapping the trajectory data to the target coordinate system can be based on coordinate transformation rules. These rules can be used to transform coordinates in different coordinate systems. Specifically, the coordinate transformation rules determine the proportion of each coordinate within the range of latitude and longitude values ​​corresponding to each coordinate in the spatial coordinate system and the range of latitude and longitude values ​​on the coordinate axes. Then, based on the proportion of each coordinate, coordinates with the same proportion are determined in the target coordinate system as the transformed coordinates. By following the coordinate transformation rules between the target coordinate system and the spatial coordinate system, the trajectory data can be mapped to the target coordinate system.

[0068] After mapping the trajectory data to the target coordinate system, in order to ensure that the sub-maps generated from the trajectory data of air masses passing through the monitoring station at different target times are correlated with the parent map at the target time, the trajectory data can be adjusted. Specifically, to ensure that the sub-maps formed based on the trajectory data intersect with the parent map, and that the intersection points correspond to the target time of the corresponding sub-maps, the trajectory data can be translated. This allows the trajectory points representing the air mass positions at the target time (i.e., the trajectory points representing the monitoring station positions) in the trajectory data of different air masses to coincide with the monitoring data points at the target time, thus ensuring that the sub-maps generated from the trajectory data and the parent map generated from the monitoring data are correlated at the target time. The intersection points represent the positions of the air masses corresponding to the corresponding sub-maps at the corresponding target time, and also represent the monitoring data of the monitoring station at the corresponding target time.

[0069] Specifically, the method for translating the trajectory data of an air mass passing through the monitoring station at any target time in the target coordinate system can be as follows: first, determine a specified trajectory point data from the trajectory data of the same air mass; then, calculate the distance between the coordinates corresponding to the specified trajectory point data and the coordinates of the monitoring data point corresponding to the same target time of the air mass; then, translate all the trajectory point data of the air mass according to the distance, so that the coordinates corresponding to the specified trajectory point data coincide with the coordinates of the monitoring data point corresponding to the same target time of the air mass.

[0070] In some embodiments, the graphical data display method may further include: in the display interface, when any sub-map generated from trajectory data is selected, displaying the spatial coordinate axis corresponding to the sub-map; wherein the spatial coordinate axis is used to indicate the spatial information of the air mass represented by the sub-map.

[0071] The location of the monitoring station can be fixed. Correspondingly, in the sub-map generated from the trajectory data of air masses passing through the monitoring station at the target time, the latitude and longitude coordinates of the trajectory points corresponding to the air mass location at the target time can also be fixed. In some embodiments, to display the relationship between the sub-map and the parent map in the display interface, the trajectory points representing the same latitude and longitude may appear in different positions on the display interface in the sub-maps generated from the trajectory data of air masses passing through the monitoring station at different target times. Please refer to [link to relevant documentation]. Figure 1In the several sub-graphs generated from the trajectory data of different air masses, the trajectory points representing the monitoring station locations coincide with the monitoring data points representing the monitoring data values ​​at the target time. The monitoring data points at different target times correspond to different positions on the time coordinate axis in the display interface. Therefore, a single coordinate axis with a fixed scale cannot adequately illustrate the spatial information values ​​of each trajectory point in the sub-graph. Therefore, when different sub-graphs are selected, the coordinate axes corresponding to those sub-graphs can be displayed to illustrate the spatial information values ​​of the trajectory points within those sub-graphs.

[0072] The spatial information represented by the sub-map generated from the trajectory data can refer to the latitude and longitude information represented by the trajectory data. Of course, in some implementations, the spatial information may also include information such as altitude. Correspondingly, a three-dimensional coordinate system can be used to illustrate the spatial information represented by the sub-map.

[0073] A method for displaying the spatial coordinate axes corresponding to the sub-map can be to display secondary coordinate axes in the display interface. These secondary coordinate axes may include a coordinate axis representing longitude and a coordinate axis representing latitude. The scales of the longitude and latitude coordinate axes may differ depending on the selected sub-map. The longitude and latitude coordinate axes can be used to indicate the air mass location information represented by each trajectory point in the selected sub-map.

[0074] Upon receiving a selection operation from an input device on the graphic generated from the trajectory data, the graphic generated from the trajectory data is selected. Specifically, for example, the selection operation could be a single click, double click, or long press of the mouse on the graphic generated from the trajectory data in the display interface.

[0075] Please see Figure 3 In some embodiments, the graphical data display method may further include: determining the change in spatial information of an air mass passing through the monitoring station at a target time within a specified time period based on the air mass trajectory data; determining a critical target time based on the difference between the changes in spatial information of air masses arriving at the monitoring station at adjacent target times; wherein the critical target time is used to divide the monitoring data at different target times into multiple subsets of monitoring data corresponding to different time stages.

[0076] In some cases, the range and speed of air mass movement can influence the values ​​of monitoring data obtained from monitoring stations. Specifically, monitoring stations can be used to monitor air pollutant concentrations. When an air mass moves over a large area, atmospheric diffusion conditions are better, and consequently, air pollutant concentrations may be relatively lower. Conversely, when an air mass moves over a small area, atmospheric diffusion conditions are poor, and consequently, air pollutant concentrations may be relatively higher. Therefore, the critical target time can be determined based on the spatial changes in air mass movement. Based on this critical target time, air pollutant concentration data can be divided into multiple pollution stages, which is beneficial for researchers studying air pollution.

[0077] The spatial information may include, but is not limited to, information representing the location of the air mass, such as its longitude, latitude, and altitude. Correspondingly, the change in the spatial information can be determined based on the spatial information during the air mass's movement. Specifically, for example, the change in the spatial information can be expressed as longitude difference, latitude difference, and altitude difference. Of course, the change in the spatial information can also include cumulative longitude, cumulative latitude, and cumulative altitude.

[0078] In some implementations, the change in spatial information can represent the difference between the maximum and minimum values ​​of spatial information in one dimension during the movement of the air mass. Correspondingly, a method for determining the change in spatial information of an air mass passing through the monitoring station at a target time within a specified time period, based on the air mass trajectory data, can calculate the change in spatial information during the movement of the air mass based on the values ​​of each trajectory point in the trajectory data of the air mass passing through the monitoring station at different target times. Specifically, the air mass trajectory data can include the latitude, longitude, and altitude information of the air mass at hourly intervals over the past 24 hours. Therefore, the maximum and minimum longitude and latitude values ​​can be determined from the 25 sets of latitude and longitude information collected within 24 hours, thereby calculating the changes in longitude and latitude. Of course, the change can also be a cumulative value of altitude. Specifically, the altitude values ​​from the 25 sets of altitude information can be summed to obtain the change in spatial information representing altitude.

[0079] The critical target time can be used to group monitoring data points according to the target time corresponding to the monitoring data points. In some embodiments, there may be multiple critical target times.

[0080] Monitoring data within the time interval between adjacent critical target moments can constitute a subset of monitoring data. Each subset of monitoring data can correspond to a time period. The monitoring data in each time period can have similar characteristics.

[0081] Specifically, for example, monitoring data can represent PM in atmospheric components. 2.5 Concentration. PM2.5 concentration detected by monitoring stations. 2.5 Concentration levels can change over time. During this change, multiple PM levels can be identified. 2.5 The pollution stage is determined to facilitate analysis by researchers. Specifically, based on the critical target time, PM2.5 levels within a specified time period can be analyzed. 2.5 The pollution process is divided into multiple time stages. These multiple time stages can each correspond to PM2.5. 2.5 One stage of pollution.

[0082] The method for determining the critical target time based on the difference between the changes in spatial information of air masses that arrive at the monitoring station at adjacent target times during their movement can be to take the target time when the change in spatial information reaches an inflection point as the critical target time.

[0083] Specifically, for example, the turning point can represent a situation where the change in spatial information first increases and then decreases, or first decreases and then increases, and the magnitude of both the decrease and increase exceeds a set threshold. In such cases, the target time corresponding to the turning point can be used as the critical target time. When the change in spatial information shows a turning point, it indicates a significant change in the direction, speed, or altitude of the air mass. When monitoring data represents atmospheric pollutant concentrations, the time intervals of the pollution phases, i.e., the critical target time, can be determined based on changes in air mass movement.

[0084] Please see Figure 1 This specification provides a method for displaying graphical data. The method includes: providing a display interface for a sub-map generated from trajectory data representing the movement path of an air mass passing through a monitoring station at any target time within a specified time period, and a master map generated from monitoring data of atmospheric components at the monitoring station within the specified time period; wherein the sub-map and the master map are associated at the same target time in the display interface.

[0085] The monitoring data can represent atmospheric composition information from monitoring stations within a specified time period. The master map can be generated based on the monitoring data. Specifically, for each time point with monitoring data within the specified time period, a corresponding monitoring data point representing the monitoring data at that time point can be generated. Based on the monitoring data points corresponding to the multiple time points, the master map can be formed. For example, the monitoring data points can be connected to form the master map.

[0086] For details, please refer to Figure 1 The master diagram can represent PM 2.5The relationship between PM2.5 concentration and time. The master graph can be based on PM2.5 concentration data obtained from monitoring stations at different target times. 2.5 Data points for PM concentration monitoring are generated. In some implementations, the monitoring data may also include representations of PM2.5 concentrations. 2.5 Component data. Among them, corresponding to different PMs. 2.5 The components can be compared with the monitoring data points corresponding to the target time on the X-axis, which represent PM. 2.5 The area between data points with a concentration of 0 is based on PM 2.5 The concentrations of the components are divided into regions. Each region corresponds to one component, allowing for the display of more monitoring data on the interface. Additionally, pie charts showing the proportions of each component and their corresponding PM2.5 concentrations can be generated. 2.5 The average value.

[0087] The trajectory data of air masses passing through the monitoring station at different target times can generate corresponding sub-maps 200 representing the movement paths of the air masses. Each sub-map may include multiple trajectory segments 202. The intersection of two trajectory segments can correspond to a trajectory point 204 indicating the location of the air mass at a target time.

[0088] The parent graph and any of the subgraphs may intersect at a single monitoring data point, and the target time corresponding to the monitoring data point and the subgraph may be the same. For example, please refer to [link to relevant documentation]. Figure 1 The monitoring data point at the target time of 5:00 AM on February 12th intersects with the subgraph corresponding to the target time at intersection point 106. The monitoring data at 5:00 AM on February 12th is correlated with the air mass that passed through the monitoring station at 5:00 AM on February 12th.

[0089] Specifically, the endpoints representing the monitoring station locations in the sub-graph coincide with the corresponding monitoring data points at 5:00 AM on February 12th. This indicates that the corresponding air mass was located at the monitoring station at 5:00 AM on February 12th, and the monitored PM2.5 concentration was [missing information]. 2.5 The concentration is the value of the monitoring data at the corresponding target time, which can better assist researchers in conducting spatiotemporal fusion analysis of air mass trajectories and monitoring data values ​​at the same target time.

[0090] In some implementations, a graphical data display device may be provided, which may include an acquisition module and a display module.

[0091] The acquisition module is used to acquire monitoring data representing the atmospheric composition of the monitoring station within a specified time period, and trajectory data representing the movement path of an air mass passing through the monitoring station at any target time within the specified time period.

[0092] The display module is used to graphically display the monitoring data and the trajectory data. The display interface includes a master map generated from the monitoring data within a specified time period and a sub-map generated from the trajectory data at any target time. The sub-map and the master map are related at the same target time.

[0093] In some implementations, a graphical data display device may be provided, which may include a display module.

[0094] The display module is used to provide a display interface including a sub-map generated from trajectory data representing the movement path of an air mass passing through a monitoring station at any target time within a specified time period, and a master map generated from monitoring data of atmospheric components at the monitoring station within the specified time period; in the display interface, the sub-map and the master map are associated at the same target time.

[0095] In some embodiments, a computer device may be provided, including a memory and a processor, wherein the memory stores a computer program, and the processor executes the computer program to implement the method described in the embodiments.

[0096] In some embodiments, a computer-readable storage medium may be provided having a computer program stored thereon, which, when executed by a processor, implements the method steps described in the embodiments.

[0097] Those skilled in the art will understand that implementing all or part of the processes in the methods described in this specification can be accomplished by a computer program instructing related hardware. The computer program can be stored in a non-volatile computer-readable storage medium, and when executed, it can include the processes of the embodiments described. Any references to memory, storage, databases, or other media used in the embodiments provided in this specification can include at least one of non-volatile and volatile memory. Non-volatile memory can include read-only memory (ROM), magnetic tape, floppy disk, flash memory, or optical storage, etc. Volatile memory can include random access memory (RAM) or external cache memory. By way of illustration and not limitation, RAM can be in various forms, such as static random access memory (SRAM) or dynamic random access memory (DRAM), etc.

[0098] It should be understood that each block of a flowchart and / or block diagram, and combinations of blocks in a flowchart and / or block diagram, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, special-purpose computer, embedded processor, or other programmable data processing device to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing device, generate instructions for implementing the flowchart... Figure 1 One or more processes and / or boxes Figure 1 A device that provides the functions specified in one or more boxes.

[0099] This specification describes various embodiments in a progressive manner. Different embodiments focus on describing the parts that differ from other embodiments. Those skilled in the art, upon reading this specification, will realize that the various embodiments and the technical features disclosed in these embodiments can be combined in numerous ways. For the sake of brevity, not all possible combinations of the technical features in the described embodiments are described. However, any combination of these technical features that does not contradict each other should be considered within the scope of this specification.

[0100] It should also be noted that the terms "comprising," "including," or any other variations thereof are intended to cover non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements includes not only those elements but also other elements not expressly listed, or elements inherent to such a process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising one..." does not exclude the presence of other identical elements in the process, method, article, or apparatus that includes said element.

[0101] The above description is merely an embodiment of this invention and is not intended to limit the scope of protection of the claims. Various modifications and variations are possible for those skilled in the art. Any modifications, equivalent substitutions, or improvements made within the spirit and principle of this invention should be included within the scope of the claims.

Claims

1. A method of presenting graphical data, characterized by, The method includes: Acquire monitoring data representing the atmospheric composition of a monitoring station within a specified time period, and trajectory data representing the movement path of an air mass passing through the monitoring station at any target time within the specified time period; The graphical display includes a display interface for the monitoring data and the trajectory data; wherein, the display interface includes a master map generated from the monitoring data within a specified time period, and a sub-map generated from the trajectory data at any target time; the sub-map and the master map are related at the same target time, including: the sub-map and the master map at any target time intersect at a monitoring data point; the monitoring data point and the sub-map belong to the same target time.

2. The method of claim 1, wherein, The trajectory data of an air mass passing through the monitoring station at any target time includes multiple trajectory point data representing the location of the air mass at different times; the sub-graph includes trajectory segments formed by two temporally adjacent trajectory point data; the steps of graphically displaying the display interface including the monitoring data and the trajectory data include: The trajectory segment is assigned a color based on its air mass attribute value when it is within the spatial range represented by the trajectory segment; wherein, the air mass attribute value corresponds to different color trajectory segments.

3. The method of claim 1, wherein, The method further includes: Specify a target time for filtering the trajectory data; wherein, the trajectory data of air masses passing through the monitoring station at the specified target time will be used as the filtered trajectory data; Accordingly, the step of graphically displaying the display interface including the monitoring data and the trajectory data includes: graphically displaying the display interface including the monitoring data and the filtered trajectory data.

4. The method of claim 1, wherein, The master image is located in the target coordinate system, which includes coordinate axes representing time; the step of graphically displaying the interface including the monitoring data and the trajectory data includes: The coordinates of the monitoring data are determined in the target coordinate system so that the monitoring data forms the master map; The display position of the sub-graph is determined in the target coordinate system; wherein, any sub-graph intersects with the parent graph; wherein, the coordinates of any intersection point correspond to the target time of the corresponding sub-graph.

5. The method of claim 4, wherein, The target coordinate system includes coordinate axes representing atmospheric components; the trajectory data includes trajectory point data in a spatial coordinate system; wherein the spatial coordinate system is different from the target coordinate system; the step of determining the display position of the sub-graph in the target coordinate system includes: According to the coordinate transformation rules between the target coordinate system and the spatial coordinate system, the trajectory data is mapped to the target coordinate system; The trajectory data of the air mass passing through the monitoring station at any target time is translated in the target coordinate system, such that the sub-map formed based on the trajectory data intersects with the parent map, and the intersection point corresponds to the target time of the corresponding sub-map; wherein, the intersection point is used to represent the position of the air mass corresponding to the corresponding sub-map at the corresponding target time, and the intersection point is also used to represent the monitoring data of the monitoring station at the corresponding target time.

6. The method of claim 1, wherein, The method further includes: In the display interface, when any sub-map generated from the trajectory data is selected, the spatial coordinate axis corresponding to the sub-map is displayed; wherein, the spatial coordinate axis is used to indicate the spatial information of the air mass represented by the sub-map.

7. The method of claim 1, wherein, The method further includes: Based on the trajectory data of the air mass, determine the amount of change in spatial information of the air mass that passes through the monitoring station at a target time within a specified time period during its movement; The critical target time is determined based on the difference between the changes in spatial information of air masses that arrive at the monitoring station at adjacent target times during their movement; wherein, the critical target time is used to divide the monitoring data at different target times into multiple subsets of monitoring data corresponding to different time stages.

8. A method of presenting graphical data, characterized by include: It provides a display interface that includes a sub-map generated from trajectory data representing the movement path of an air mass passing through a monitoring station at any target time within a specified time period, and a master map generated from monitoring data of atmospheric components at the monitoring station within the specified time period. In the display interface, the sub-graph and the parent graph are related at the same target time, including: the sub-graph and the parent graph at any target time intersect at a monitoring data point; The monitoring data point and the sub-graph belong to the same target time. 9.A computer device, comprising a memory and a processor, wherein the memory stores a computer program, and the computer device is configured to perform the method according to any one of claims 1-8 when the computer program is executed by the processor. When the processor executes the computer program, it implements the method of any one of claims 1 to 8.

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