CN117129638B - Regional air environment quality monitoring method and system - Google Patents
Regional air environment quality monitoring method and system Download PDFInfo
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- 238000012544 monitoring process Methods 0.000 title claims abstract description 422
- 238000000034 method Methods 0.000 title claims abstract description 30
- 238000012806 monitoring device Methods 0.000 claims abstract description 15
- 239000003344 environmental pollutant Substances 0.000 claims description 71
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- 238000000605 extraction Methods 0.000 claims description 6
- 239000002245 particle Substances 0.000 description 14
- 238000012545 processing Methods 0.000 description 7
- RAHZWNYVWXNFOC-UHFFFAOYSA-N Sulphur dioxide Chemical compound O=S=O RAHZWNYVWXNFOC-UHFFFAOYSA-N 0.000 description 5
- 229910002091 carbon monoxide Inorganic materials 0.000 description 3
- UGFAIRIUMAVXCW-UHFFFAOYSA-N Carbon monoxide Chemical compound [O+]#[C-] UGFAIRIUMAVXCW-UHFFFAOYSA-N 0.000 description 2
- 238000003915 air pollution Methods 0.000 description 2
- 238000003491 array Methods 0.000 description 2
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Abstract
The invention provides a regional air environment quality monitoring method and a regional air environment quality monitoring system, wherein the method comprises the following steps: when an input target monitoring area is received, historical monitoring data generated by the target monitoring area in a preset time period is obtained in a preset meteorological database, and a change curve graph corresponding to the air environment quality in the target monitoring area is drawn according to the historical monitoring data; extracting a plurality of maximum value points and a plurality of minimum value points which are respectively contained in the change curve graph, and detecting target generation sites of each maximum value point and each minimum value point in a target monitoring area one by one; the air monitoring device is arranged in the target generation place so as to monitor the target monitoring area in real time through the air monitoring device. The invention can effectively reduce the monitoring cost of the air environment quality and correspondingly improve the use experience of users.
Description
Technical Field
The invention relates to the technical field of data processing, in particular to a regional air environment quality monitoring method and system.
Background
The air quality reflects the pollution degree of the air, and is judged according to the concentration of pollutants in the air, and because the air pollution is a complex phenomenon, the concentration of the existing air pollutants can be influenced by various factors at specific time and place.
When the air quality of a certain area is monitored in the prior art, a plurality of monitoring devices are arranged in the monitoring area at the same time, so that the current monitoring area can be covered by the monitoring range of the current plurality of monitoring devices, however, the monitoring mode needs to consume a plurality of monitoring devices at the same time, and a large amount of redundant monitoring data can be correspondingly generated, so that the cost of air quality monitoring and the cost of monitoring data processing are correspondingly increased, and meanwhile, the efficiency of air quality monitoring is reduced.
Disclosure of Invention
Based on the above, the invention aims to provide a regional air environment quality monitoring method and a regional air environment quality monitoring system, so as to solve the technical problem of high air environment quality monitoring cost in the prior art.
The first aspect of the embodiment of the invention provides:
a method of regional air environmental quality monitoring, wherein the method comprises:
when an input target monitoring area is received, historical monitoring data generated by the target monitoring area in a preset time period is obtained in a preset meteorological database, and a change curve graph corresponding to the air environment quality in the target monitoring area is drawn according to the historical monitoring data;
Extracting a plurality of maximum value points and a plurality of minimum value points respectively contained in the change curve graph, and detecting target generation sites of each maximum value point and each minimum value point in the target monitoring area one by one;
and arranging air monitoring equipment in the target generation place so as to monitor the target monitoring area in real time through the air monitoring equipment.
The beneficial effects of the invention are as follows: by acquiring the historical monitoring data of the target monitoring area in real time, a change curve corresponding to the air environment quality in the current target monitoring area can be correspondingly drawn, and the change curve can directly reflect the historical air pollution degree of the current target monitoring area. Further, a plurality of maximum value points and a plurality of minimum value points respectively contained in the current change curve graph are extracted so as to correspondingly obtain a required target generation place, based on the maximum value points and the minimum value points, the existing air monitoring equipment is arranged in the current specific target generation place, so that a large number of air monitoring equipment can be omitted, the monitoring cost of air environment quality is reduced, and meanwhile, the use experience of a user is improved.
Further, the step of drawing a change graph corresponding to the air environment quality in the target monitoring area according to the historical monitoring data includes:
when the historical monitoring data are obtained, extracting pollutant concentration data and monitoring time data contained in the historical monitoring data, wherein the pollutant concentration data and the monitoring time data contain specific numerical values;
identifying a pollutant concentration value corresponding to each moment in the preset time period according to the pollutant concentration data and the monitoring time data, and constructing a mapping relation between each moment and each pollutant concentration value;
and generating a corresponding monitoring data chain according to the mapping relation, and generating the change curve graph according to the monitoring data chain.
Further, the step of generating a corresponding monitoring data chain according to the mapping relation includes:
creating a monitoring template based on a first preset program, and generating a corresponding monitoring time sequence according to the monitoring time data, wherein the monitoring template comprises a first area and a second area, and the first area corresponds to the second area;
Mapping the monitoring time sequence to the first area correspondingly, and mapping the pollutant concentration value to the second area correspondingly according to the monitoring time sequence;
and sequentially integrating the pollutant concentration values in the second area to generate a corresponding pollutant concentration sequence, and arranging and combining the monitoring time sequence and the pollutant concentration sequence based on the monitoring template to correspondingly generate the monitoring data chain, wherein the monitoring data chain has uniqueness.
Further, the step of generating the variation graph according to the monitoring data chain includes:
when the monitoring data chain is acquired, a two-dimensional space is created through a second preset program, and a two-dimensional reference surface is randomly created in the two-dimensional space;
randomly creating a coordinate origin in the two-dimensional reference plane, and extending a corresponding two-dimensional coordinate system based on the coordinate origin, wherein an x axis and a y axis of the two-dimensional coordinate system are parallel to the two-dimensional reference plane;
setting the monitoring time sequence as an x-axis of the two-dimensional coordinate system, and setting the pollutant concentration sequence as a y-axis of the two-dimensional coordinate system;
Inputting the monitoring data chain into the two-dimensional coordinate system to generate a plurality of corresponding monitoring points in the two-dimensional coordinate system, and sequentially connecting the plurality of monitoring points in the two-dimensional coordinate system to correspondingly generate the change curve graph.
Further, the step of detecting each maximum value point and each minimum value point in the target monitoring area respectively includes:
dividing the target monitoring area into a plurality of corresponding monitoring subareas, acquiring monitoring data sets corresponding to each monitoring subarea respectively according to the historical monitoring data, wherein the size of each monitoring subarea is equal, and each monitoring data set contains a specific numerical value;
detecting whether each monitoring data set contains the numerical value corresponding to the maximum value point or the minimum value point one by one;
and if the monitoring data set is detected to contain the numerical value corresponding to the maximum value point or the minimum value point, setting the monitoring subarea corresponding to the current monitoring data set as the target generation place.
Further, the method further comprises:
Receiving a plurality of monitoring reports respectively generated by each air monitoring device in real time, and identifying a project column and a data column contained in the monitoring reports, wherein the project column contains a plurality of project elements, and the data column contains a plurality of data elements;
storing each monitoring report into a storage folder correspondingly, and generating a corresponding air monitoring data chain according to a plurality of project elements and a plurality of data elements;
and setting each air monitoring data chain as the folder name of each storage folder, wherein the air monitoring data chain has uniqueness.
Further, the step of generating a corresponding air monitoring data chain according to the plurality of item elements and the plurality of data elements comprises:
extracting monitoring time and monitoring places contained in a plurality of item elements, and extracting particle diameters contained in a plurality of data elements;
and arranging and combining the monitoring time, the monitoring place and the particle diameter according to a preset rule so as to correspondingly generate the air monitoring data chain, wherein the particle diameter comprises various specifications.
A second aspect of an embodiment of the present invention proposes:
a regional air environmental quality monitoring system, wherein the system comprises:
the acquisition module is used for acquiring historical monitoring data generated by the target monitoring area in a preset time period in a preset weather database when an input target monitoring area is received, and drawing a change curve graph corresponding to the air environment quality in the target monitoring area according to the historical monitoring data;
the extraction module is used for extracting a plurality of maximum value points and a plurality of minimum value points which are respectively contained in the change curve graph, and detecting the target generation sites of each maximum value point and each minimum value point in the target monitoring area one by one;
and the execution module is used for arranging the air monitoring equipment in the target generation place so as to monitor the target monitoring area in real time through the air monitoring equipment.
Further, the obtaining module is specifically configured to:
when the historical monitoring data are obtained, extracting pollutant concentration data and monitoring time data contained in the historical monitoring data, wherein the pollutant concentration data and the monitoring time data contain specific numerical values;
Identifying a pollutant concentration value corresponding to each moment in the preset time period according to the pollutant concentration data and the monitoring time data, and constructing a mapping relation between each moment and each pollutant concentration value;
and generating a corresponding monitoring data chain according to the mapping relation, and generating the change curve graph according to the monitoring data chain.
Further, the obtaining module is specifically further configured to:
creating a monitoring template based on a first preset program, and generating a corresponding monitoring time sequence according to the monitoring time data, wherein the monitoring template comprises a first area and a second area, and the first area corresponds to the second area;
mapping the monitoring time sequence to the first area correspondingly, and mapping the pollutant concentration value to the second area correspondingly according to the monitoring time sequence;
and sequentially integrating the pollutant concentration values in the second area to generate a corresponding pollutant concentration sequence, and arranging and combining the monitoring time sequence and the pollutant concentration sequence based on the monitoring template to correspondingly generate the monitoring data chain, wherein the monitoring data chain has uniqueness.
Further, the obtaining module is specifically further configured to:
when the monitoring data chain is acquired, a two-dimensional space is created through a second preset program, and a two-dimensional reference surface is randomly created in the two-dimensional space;
randomly creating a coordinate origin in the two-dimensional reference plane, and extending a corresponding two-dimensional coordinate system based on the coordinate origin, wherein an x axis and a y axis of the two-dimensional coordinate system are parallel to the two-dimensional reference plane;
setting the monitoring time sequence as an x-axis of the two-dimensional coordinate system, and setting the pollutant concentration sequence as a y-axis of the two-dimensional coordinate system;
inputting the monitoring data chain into the two-dimensional coordinate system to generate a plurality of corresponding monitoring points in the two-dimensional coordinate system, and sequentially connecting the plurality of monitoring points in the two-dimensional coordinate system to correspondingly generate the change curve graph.
Further, the extraction module is specifically configured to:
dividing the target monitoring area into a plurality of corresponding monitoring subareas, acquiring monitoring data sets corresponding to each monitoring subarea respectively according to the historical monitoring data, wherein the size of each monitoring subarea is equal, and each monitoring data set contains a specific numerical value;
Detecting whether each monitoring data set contains the numerical value corresponding to the maximum value point or the minimum value point one by one;
and if the monitoring data set is detected to contain the numerical value corresponding to the maximum value point or the minimum value point, setting the monitoring subarea corresponding to the current monitoring data set as the target generation place.
Further, the regional air environmental quality monitoring system further comprises a storage module, wherein the storage module is specifically configured to:
receiving a plurality of monitoring reports respectively generated by each air monitoring device in real time, and identifying a project column and a data column contained in the monitoring reports, wherein the project column contains a plurality of project elements, and the data column contains a plurality of data elements;
storing each monitoring report into a storage folder correspondingly, and generating a corresponding air monitoring data chain according to a plurality of project elements and a plurality of data elements;
and setting each air monitoring data chain as the folder name of each storage folder, wherein the air monitoring data chain has uniqueness.
Further, the storage module is specifically configured to:
Extracting monitoring time and monitoring places contained in a plurality of item elements, and extracting particle diameters contained in a plurality of data elements;
and arranging and combining the monitoring time, the monitoring place and the particle diameter according to a preset rule so as to correspondingly generate the air monitoring data chain, wherein the particle diameter comprises various specifications.
A third aspect of an embodiment of the present invention proposes:
a computer comprising a memory, a processor and a computer program stored on the memory and executable on the processor, wherein the processor implements the regional air environmental quality monitoring method as described above when the computer program is executed by the processor.
A fourth aspect of the embodiment of the present invention proposes:
a readable storage medium having stored thereon a computer program, wherein the program when executed by a processor implements the regional air environment quality monitoring method as described above.
Additional aspects and advantages of the invention will be set forth in part in the description which follows, and in part will be obvious from the description, or may be learned by practice of the invention.
Drawings
FIG. 1 is a flow chart of a method for monitoring regional air environmental quality according to a first embodiment of the present invention;
Fig. 2 is a block diagram of a regional air environment quality monitoring system according to a sixth embodiment of the present invention.
The invention will be further described in the following detailed description in conjunction with the above-described figures.
Detailed Description
In order that the invention may be readily understood, a more complete description of the invention will be rendered by reference to the appended drawings. Several embodiments of the invention are presented in the figures. This invention may, however, be embodied in many different forms and should not be construed as limited to the embodiments set forth herein. Rather, these embodiments are provided so that this disclosure will be thorough and complete.
It will be understood that when an element is referred to as being "mounted" on another element, it can be directly on the other element or intervening elements may also be present. When an element is referred to as being "connected" to another element, it can be directly connected to the other element or intervening elements may also be present. The terms "vertical," "horizontal," "left," "right," and the like are used herein for illustrative purposes only.
Unless defined otherwise, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this invention belongs. The terminology used herein in the description of the invention is for the purpose of describing particular embodiments only and is not intended to be limiting of the invention. The term "and/or" as used herein includes any and all combinations of one or more of the associated listed items.
Referring to fig. 1, a method for monitoring regional air environmental quality according to a first embodiment of the present invention is shown, and the method for monitoring regional air environmental quality according to the present embodiment can omit a large number of air monitoring devices, thereby reducing the monitoring cost of air environmental quality and improving the user experience.
Specifically, the method for monitoring the regional air environment quality provided by the embodiment specifically includes the following steps:
step S10, when an input target monitoring area is received, acquiring historical meteorological data generated by the target monitoring area in a preset time period from a preset meteorological database, and drawing a change curve graph corresponding to the air environment quality in the target monitoring area according to the historical meteorological data;
step S20, extracting a plurality of maximum points and a plurality of minimum points respectively contained in the change curve graph, and detecting target generation sites of each maximum point and each minimum point respectively corresponding to the target monitoring region one by one;
and step S30, arranging air monitoring equipment in the target generation place so as to monitor the target monitoring area in real time through the air monitoring equipment.
In particular, in this embodiment, it should be noted first that the method for monitoring air environmental quality in an area is only used for monitoring air environmental quality in a certain area in real time, and specifically, the area may be, for example, a county, a village, or a city, so as to accurately monitor air environmental quality in a current area. In addition, it should be noted that the regional air environment quality monitoring method is implemented based on a server provided in the background, which is capable of receiving data in real time and efficiently processing the data. Based on this, it should be noted that, when the server receives the target monitoring area input by the user through the user terminal in real time, specifically, for example, the air environment quality is monitored in "a county", further, historical weather data that has been generated in a preset time period with the current target monitoring area is obtained in the existing weather database, specifically, for example, the historical weather data that has been generated in the current target monitoring area in the last seven days may be obtained, and at the same time, the current historical weather data is processed to correspondingly draw a change graph corresponding to the air environment quality in the current target monitoring area.
Furthermore, since the variation graph has a plurality of peaks and troughs, a plurality of maximum points and minimum points are correspondingly generated, and based on the peak and trough, the target generation point of each current maximum point and minimum point in the target monitoring area, namely the position corresponding to the target monitoring area, is further detected one by one. On the basis, the existing air monitoring equipment is correspondingly arranged in each detected target generation place, so that the use quantity of the air monitoring equipment can be reduced on the premise that the detection range of the air monitoring equipment covers the target monitoring areas, and meanwhile, each key area can be monitored, on one hand, the monitoring cost is reduced, and on the other hand, the use experience of a user is improved.
Second embodiment
Specifically, in this embodiment, it should be noted that the step of drawing the change graph corresponding to the air environment quality in the target monitoring area according to the historical meteorological data includes:
when the historical meteorological data are obtained, extracting pollutant concentration data and monitoring time data contained in the historical meteorological data, wherein the pollutant concentration data and the monitoring time data contain specific numerical values;
Identifying a pollutant concentration value corresponding to each moment in the preset time period according to the pollutant concentration data and the monitoring time data, and constructing a mapping relation between each moment and each pollutant concentration value;
and generating a corresponding monitoring data chain according to the mapping relation, and generating the change curve graph according to the monitoring data chain.
Specifically, in this embodiment, after the required historical meteorological data is obtained through the above steps, in order to further generate the required change graph, at this time, the pollutant concentration data and the monitoring time data respectively included in the current historical meteorological data need to be further extracted, where the pollutant concentration data may specifically include data of pollutant concentrations such as dust, carbon monoxide and sulfur dioxide, and the monitoring time data may specifically include a monitoring schedule, specifically, may use days as a unit, or may use hours as a unit.
Further, after the required pollutant concentration data and the monitoring time data are obtained, the pollutant concentration value corresponding to each moment can be further identified in the preset time period, specifically, for example, "the pollutant concentration value corresponding to each day is identified in seven days" or "the pollutant concentration value corresponding to each 6 hours is identified in seven days", and the like, based on this, the mapping relationship between each moment and each pollutant concentration value can be further constructed, and on this basis, the corresponding monitoring data chain can be generated according to the current mapping relationship, and the change graph can be further generated according to the current monitoring data chain.
Specifically, in this embodiment, it should be further noted that the step of generating the corresponding monitoring data chain according to the mapping relationship includes:
creating a monitoring template based on a first preset program, and generating a corresponding monitoring time sequence according to the monitoring time data, wherein the monitoring template comprises a first area and a second area, and the first area corresponds to the second area;
mapping the monitoring time sequence to the first area correspondingly, and mapping the pollutant concentration value to the second area correspondingly according to the monitoring time sequence;
and sequentially integrating the pollutant concentration values in the second area to generate a corresponding pollutant concentration sequence, and arranging and combining the monitoring time sequence and the pollutant concentration sequence based on the monitoring template to correspondingly generate the monitoring data chain, wherein the monitoring data chain has uniqueness.
Specifically, in this embodiment, it should be further described that, in order to simply and quickly generate the above-mentioned monitoring data chain, a monitoring template for recording monitoring data needs to be further created randomly by using existing EXCEL software, and meanwhile, a corresponding monitoring time sequence can be generated according to the above-mentioned monitoring time data, specifically, for example, "10-16-22 hours of 09/2023", further, the recording area in the above-mentioned monitoring template is correspondingly divided into a first area and a second area, preferably, the first area may be longitudinally arranged in the current monitoring template, and the corresponding second area may be transversely arranged in the current monitoring template. Based on this, the monitoring time series is mapped to the current first region, and the contaminant concentration value is mapped to the current second region. Furthermore, the pollutant concentration value in the current second area is integrated, so that a corresponding pollutant concentration sequence can be generated, and the monitoring data link is finally generated, specifically, for example, the monitoring data link generated in real time can be '2023, 09, 10 days-10 PPM carbon monoxide concentration-15 PPM sulfur dioxide', and the like, so as to facilitate subsequent further processing.
Third embodiment
In addition, in this embodiment, it should be noted that the step of generating the variation graph according to the monitoring data chain includes:
when the monitoring data chain is acquired, a two-dimensional space is created through a second preset program, and a two-dimensional reference surface is randomly created in the two-dimensional space;
randomly creating a coordinate origin in the two-dimensional reference plane, and extending a corresponding two-dimensional coordinate system based on the coordinate origin, wherein an x axis and a y axis of the two-dimensional coordinate system are parallel to the two-dimensional reference plane;
setting the monitoring time sequence as an x-axis of the two-dimensional coordinate system, and setting the pollutant concentration sequence as a y-axis of the two-dimensional coordinate system;
inputting the monitoring data chain into the two-dimensional coordinate system to generate a plurality of corresponding monitoring points in the two-dimensional coordinate system, and sequentially connecting the plurality of monitoring points in the two-dimensional coordinate system to correspondingly generate the change curve graph.
In addition, in this embodiment, after the required monitoring data chain is obtained through the above steps, an adaptive two-dimensional space needs to be created randomly in the virtual space by further using existing drawing software such as ug, and further, a two-dimensional reference plane is created randomly in the two-dimensional space, and at the same time, a coordinate origin is created randomly in the two-dimensional reference plane, so that a required two-dimensional coordinate system can be further extended according to the coordinate origin.
Further, in order to generate a change graph adapted to the monitoring data chain, the monitoring time sequence needs to be set to the x-axis of the current two-dimensional coordinate system, and correspondingly, the contaminant concentration sequence needs to be set to the y-axis of the current two-dimensional coordinate system, so that each monitoring data chain can be correspondingly input into the current two-dimensional coordinate system, and meanwhile, a plurality of corresponding monitoring points are synchronously generated in the two-dimensional coordinate system, namely, one monitoring data chain correspondingly generates one monitoring point, and further, the current plurality of monitoring points are sequentially connected, so that the change graph can be finally generated.
In this embodiment, the step of detecting the target generation point corresponding to each of the maximum point and the minimum point in the target monitoring area one by one includes:
dividing the target monitoring area into a plurality of corresponding monitoring subareas, acquiring monitoring data sets corresponding to each monitoring subarea respectively according to the historical meteorological data, wherein the size of each monitoring subarea is equal, and each monitoring data set contains a specific numerical value;
Detecting whether each monitoring data set contains the numerical value corresponding to the maximum value point or the minimum value point one by one;
and if the monitoring data set is detected to contain the numerical value corresponding to the maximum value point or the minimum value point, setting the monitoring subarea corresponding to the current monitoring data set as the target generation place.
In addition, in this embodiment, it should be further noted that, after the required maximum point and minimum point are obtained through the above steps, in order to further obtain the locations generated by each of the current maximum point and minimum point, specifically, the current target monitoring area needs to be further divided into a plurality of monitoring subareas with equal areas, and further, the corresponding monitoring data sets in each of the current monitoring subareas are obtained synchronously according to the historical meteorological data. Further, whether each current monitoring data set contains a numerical value corresponding to the maximum value point or the minimum value point is detected in real time, specifically, if yes, the monitoring subarea corresponding to the current monitoring data set is indicated to be a required target generation place, and if no, the monitoring subarea corresponding to the current monitoring data set is indicated to be not a required target generation place, so that subsequent processing is facilitated.
Fourth embodiment
In this embodiment, it should be noted that, the method further includes:
receiving a plurality of monitoring reports respectively generated by each air monitoring device in real time, and identifying a project column and a data column contained in the monitoring reports, wherein the project column contains a plurality of project elements, and the data column contains a plurality of data elements;
storing each monitoring report into a storage folder correspondingly, and generating a corresponding air monitoring data chain according to a plurality of project elements and a plurality of data elements;
and setting each air monitoring data chain as the folder name of each storage folder, wherein the air monitoring data chain has uniqueness.
In this embodiment, it should be noted that, in order to effectively store the monitoring report generated by the air monitoring device in real time, so as to protect the integrity of data, specifically, the server may extract, in real time, a project column and a data column respectively included in each monitoring report, where the project column includes a plurality of project elements, and the data column includes a plurality of data elements corresponding to the project column. Furthermore, each monitoring report is correspondingly stored in a storage folder, so that classification processing can be effectively performed. Based on the method, corresponding air monitoring data chains are generated in real time according to the project elements and the data elements, and finally each air monitoring data chain is correspondingly set as the folder name of each storage folder, so that on one hand, the storage of the monitoring report is effectively completed, on the other hand, a worker can intuitively observe which monitoring report is respectively stored in each folder, and the searching efficiency of the subsequent worker is correspondingly improved.
Fifth embodiment
In this embodiment, it should be noted that the step of generating the corresponding air monitoring data chain according to the plurality of item elements and the plurality of data elements includes:
extracting monitoring time and monitoring places contained in a plurality of item elements, and extracting particle diameters contained in a plurality of data elements;
and arranging and combining the monitoring time, the monitoring place and the particle diameter according to a preset rule so as to correspondingly generate the air monitoring data chain, wherein the particle diameter comprises various specifications.
In this embodiment, it should be noted that, in order to simply and quickly generate the air monitoring data chain, the monitoring time and the monitoring place included in the plurality of item elements are further extracted in real time, and at the same time, the particle diameters included in the plurality of data elements are extracted.
Further, the air monitoring data chain is generated according to the arrangement rules of the monitoring time, the monitoring place and the particle diameter. More specifically, for example, the air monitoring data chain generated in real time may be "2023, 09, B county-sulfur dioxide 8 PPM-carbon monoxide 16PPM" or the like, so as to facilitate subsequent processing.
Referring to fig. 2, a sixth embodiment of the present invention provides:
a regional air environmental quality monitoring system, wherein the system comprises:
the acquisition module is used for acquiring historical meteorological data generated by the target monitoring area in a preset time period in a preset meteorological database when an input target monitoring area is received, and drawing a change curve graph corresponding to the air environment quality in the target monitoring area according to the historical meteorological data;
the extraction module is used for extracting a plurality of maximum value points and a plurality of minimum value points which are respectively contained in the change curve graph, and detecting the target generation sites of each maximum value point and each minimum value point in the target monitoring area one by one;
and the execution module is used for arranging the air monitoring equipment in the target generation place so as to monitor the target monitoring area in real time through the air monitoring equipment.
In the above regional air environment quality monitoring system, the acquiring module is specifically configured to:
when the historical meteorological data are obtained, extracting pollutant concentration data and monitoring time data contained in the historical meteorological data, wherein the pollutant concentration data and the monitoring time data contain specific numerical values;
Identifying a pollutant concentration value corresponding to each moment in the preset time period according to the pollutant concentration data and the monitoring time data, and constructing a mapping relation between each moment and each pollutant concentration value;
and generating a corresponding monitoring data chain according to the mapping relation, and generating the change curve graph according to the monitoring data chain.
In the above regional air environment quality monitoring system, the acquiring module is further specifically configured to:
creating a monitoring template based on a first preset program, and generating a corresponding monitoring time sequence according to the monitoring time data, wherein the monitoring template comprises a first area and a second area, and the first area corresponds to the second area;
mapping the monitoring time sequence to the first area correspondingly, and mapping the pollutant concentration value to the second area correspondingly according to the monitoring time sequence;
and sequentially integrating the pollutant concentration values in the second area to generate a corresponding pollutant concentration sequence, and arranging and combining the monitoring time sequence and the pollutant concentration sequence based on the monitoring template to correspondingly generate the monitoring data chain, wherein the monitoring data chain has uniqueness.
In the above regional air environment quality monitoring system, the acquiring module is further specifically configured to:
when the monitoring data chain is acquired, a two-dimensional space is created through a second preset program, and a two-dimensional reference surface is randomly created in the two-dimensional space;
randomly creating a coordinate origin in the two-dimensional reference plane, and extending a corresponding two-dimensional coordinate system based on the coordinate origin, wherein an x axis and a y axis of the two-dimensional coordinate system are parallel to the two-dimensional reference plane;
setting the monitoring time sequence as an x-axis of the two-dimensional coordinate system, and setting the pollutant concentration sequence as a y-axis of the two-dimensional coordinate system;
inputting the monitoring data chain into the two-dimensional coordinate system to generate a plurality of corresponding monitoring points in the two-dimensional coordinate system, and sequentially connecting the plurality of monitoring points in the two-dimensional coordinate system to correspondingly generate the change curve graph.
In the above regional air environment quality monitoring system, the extraction module is specifically configured to:
dividing the target monitoring area into a plurality of corresponding monitoring subareas, acquiring monitoring data sets corresponding to each monitoring subarea respectively according to the historical meteorological data, wherein the size of each monitoring subarea is equal, and each monitoring data set contains a specific numerical value;
Detecting whether each monitoring data set contains the numerical value corresponding to the maximum value point or the minimum value point one by one;
and if the monitoring data set is detected to contain the numerical value corresponding to the maximum value point or the minimum value point, setting the monitoring subarea corresponding to the current monitoring data set as the target generation place.
Among the above-mentioned regional air environmental quality monitoring system, regional air environmental quality monitoring system still includes storage module, storage module specifically is used for:
receiving a plurality of monitoring reports respectively generated by each air monitoring device in real time, and identifying a project column and a data column contained in the monitoring reports, wherein the project column contains a plurality of project elements, and the data column contains a plurality of data elements;
storing each monitoring report into a storage folder correspondingly, and generating a corresponding air monitoring data chain according to a plurality of project elements and a plurality of data elements;
and setting each air monitoring data chain as the folder name of each storage folder, wherein the air monitoring data chain has uniqueness.
In the above regional air environment quality monitoring system, the storage module is further specifically configured to:
extracting monitoring time and monitoring places contained in a plurality of item elements, and extracting particle diameters contained in a plurality of data elements;
and arranging and combining the monitoring time, the monitoring place and the particle diameter according to a preset rule so as to correspondingly generate the air monitoring data chain, wherein the particle diameter comprises various specifications.
A seventh embodiment of the present invention provides a computer, including a memory, a processor, and a computer program stored on the memory and executable on the processor, where the processor implements the method for monitoring regional air environmental quality provided in the above embodiments when the processor executes the computer program.
An eighth embodiment of the present invention provides a readable storage medium having stored thereon a computer program, wherein the program when executed by a processor implements the regional air environment quality monitoring method provided by the above embodiments.
In summary, the method and the system for monitoring the regional air environment quality provided by the embodiment of the invention can omit a large number of air monitoring devices, thereby reducing the monitoring cost of the air environment quality and improving the use experience of users.
The above-described respective modules may be functional modules or program modules, and may be implemented by software or hardware. For modules implemented in hardware, the various modules described above may be located in the same processor; or the above modules may be located in different processors in any combination.
Logic and/or steps represented in the flowcharts or otherwise described herein, e.g., a ordered listing of executable instructions for implementing logical functions, can be embodied in any computer-readable medium for use by or in connection with an instruction execution system, apparatus, or device, such as a computer-based system, processor-containing system, or other system that can fetch the instructions from the instruction execution system, apparatus, or device and execute the instructions. For the purposes of this description, a "computer-readable medium" can be any means that can contain, store, communicate, propagate, or transport the program for use by or in connection with the instruction execution system, apparatus, or device.
More specific examples (a non-exhaustive list) of the computer-readable medium would include the following: an electrical connection (electronic device) having one or more wires, a portable computer diskette (magnetic device), a Random Access Memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber device, and a portable compact disc read-only memory (CDROM). In addition, the computer readable medium may even be paper or other suitable medium on which the program is printed, as the program may be electronically captured, via, for instance, optical scanning of the paper or other medium, then compiled, interpreted or otherwise processed in a suitable manner, if necessary, and then stored in a computer memory.
It is to be understood that portions of the present invention may be implemented in hardware, software, firmware, or a combination thereof. In the above-described embodiments, the various steps or methods may be implemented in software or firmware stored in a memory and executed by a suitable instruction execution system. For example, if implemented in hardware, as in another embodiment, may be implemented using any one or combination of the following techniques, as is well known in the art: discrete logic circuits having logic gates for implementing logic functions on data signals, application specific integrated circuits having suitable combinational logic gates, programmable Gate Arrays (PGAs), field Programmable Gate Arrays (FPGAs), and the like.
In the description of the present specification, a description referring to terms "one embodiment," "some embodiments," "examples," "specific examples," or "some examples," etc., means that a particular feature, structure, material, or characteristic described in connection with the embodiment or example is included in at least one embodiment or example of the present invention. In this specification, schematic representations of the above terms do not necessarily refer to the same embodiments or examples. Furthermore, the particular features, structures, materials, or characteristics described may be combined in any suitable manner in any one or more embodiments or examples.
The foregoing examples illustrate only a few embodiments of the invention and are described in detail herein without thereby limiting the scope of the invention. It should be noted that it will be apparent to those skilled in the art that several variations and modifications can be made without departing from the spirit of the invention, which are all within the scope of the invention. Accordingly, the scope of protection of the present invention is to be determined by the appended claims.
Claims (5)
1. A method for monitoring regional air environmental quality, the method comprising:
When an input target monitoring area is received, historical monitoring data generated by the target monitoring area in a preset time period is obtained in a preset meteorological database, and a change curve graph corresponding to the air environment quality in the target monitoring area is drawn according to the historical monitoring data;
extracting a plurality of maximum value points and a plurality of minimum value points respectively contained in the change curve graph, and detecting target generation sites of each maximum value point and each minimum value point in the target monitoring area one by one;
setting an air monitoring device in the target generation place so as to monitor the target monitoring area in real time through the air monitoring device;
the step of drawing a change curve graph corresponding to the air environment quality in the target monitoring area according to the historical monitoring data comprises the following steps:
when the historical monitoring data are obtained, extracting pollutant concentration data and monitoring time data contained in the historical monitoring data, wherein the pollutant concentration data and the monitoring time data contain specific numerical values;
identifying a pollutant concentration value corresponding to each moment in the preset time period according to the pollutant concentration data and the monitoring time data, and constructing a mapping relation between each moment and each pollutant concentration value;
Generating a corresponding monitoring data chain according to the mapping relation, and generating the change curve graph according to the monitoring data chain;
the step of generating the corresponding monitoring data chain according to the mapping relation comprises the following steps:
creating a monitoring template based on a first preset program, and generating a corresponding monitoring time sequence according to the monitoring time data, wherein the monitoring template comprises a first area and a second area, and the first area corresponds to the second area;
mapping the monitoring time sequence to the first area correspondingly, and mapping the pollutant concentration value to the second area correspondingly according to the monitoring time sequence;
sequentially integrating the pollutant concentration values in the second area to generate a corresponding pollutant concentration sequence, and arranging and combining the monitoring time sequence and the pollutant concentration sequence based on the monitoring template to correspondingly generate the monitoring data chain, wherein the monitoring data chain has uniqueness;
the step of generating the variation graph from the monitoring data chain comprises:
when the monitoring data chain is acquired, a two-dimensional space is created through a second preset program, and a two-dimensional reference surface is randomly created in the two-dimensional space;
Randomly creating a coordinate origin in the two-dimensional reference plane, and extending a corresponding two-dimensional coordinate system based on the coordinate origin, wherein an x axis and a y axis of the two-dimensional coordinate system are parallel to the two-dimensional reference plane;
setting the monitoring time sequence as an x-axis of the two-dimensional coordinate system, and setting the pollutant concentration sequence as a y-axis of the two-dimensional coordinate system;
inputting the monitoring data chain into the two-dimensional coordinate system to generate a plurality of corresponding monitoring points in the two-dimensional coordinate system, and sequentially connecting the plurality of monitoring points in the two-dimensional coordinate system to correspondingly generate the change curve graph;
the step of detecting the target generation sites corresponding to each maximum value point and each minimum value point in the target monitoring area one by one includes:
dividing the target monitoring area into a plurality of corresponding monitoring subareas, acquiring monitoring data sets corresponding to each monitoring subarea respectively according to the historical monitoring data, wherein the size of each monitoring subarea is equal, and each monitoring data set contains a specific numerical value;
detecting whether each monitoring data set contains the numerical value corresponding to the maximum value point or the minimum value point one by one;
And if the monitoring data set is detected to contain the numerical value corresponding to the maximum value point or the minimum value point, setting the monitoring subarea corresponding to the current monitoring data set as the target generation place.
2. The regional air environmental quality monitoring method of claim 1, wherein: the method further comprises the steps of:
receiving a plurality of monitoring reports respectively generated by each air monitoring device in real time, and identifying a project column and a data column contained in the monitoring reports, wherein the project column contains a plurality of project elements, and the data column contains a plurality of data elements;
storing each monitoring report into a storage folder correspondingly, and generating a corresponding air monitoring data chain according to a plurality of project elements and a plurality of data elements;
and setting each air monitoring data chain as the folder name of each storage folder, wherein the air monitoring data chain has uniqueness.
3. A regional air environmental quality monitoring system, the system comprising:
the acquisition module is used for acquiring historical meteorological data generated by the target monitoring area in a preset time period in a preset meteorological database when an input target monitoring area is received, and drawing a change curve graph corresponding to the air environment quality in the target monitoring area according to the historical meteorological data;
The extraction module is used for extracting a plurality of maximum value points and a plurality of minimum value points which are respectively contained in the change curve graph, and detecting the target generation sites of each maximum value point and each minimum value point in the target monitoring area one by one;
the execution module is used for arranging air monitoring equipment in the target generation place so as to monitor the target monitoring area in real time through the air monitoring equipment;
the acquisition module is specifically configured to:
when the historical meteorological data are obtained, extracting pollutant concentration data and monitoring time data contained in the historical meteorological data, wherein the pollutant concentration data and the monitoring time data contain specific numerical values;
identifying a pollutant concentration value corresponding to each moment in the preset time period according to the pollutant concentration data and the monitoring time data, and constructing a mapping relation between each moment and each pollutant concentration value;
generating a corresponding monitoring data chain according to the mapping relation, and generating the change curve graph according to the monitoring data chain;
the acquisition module is also specifically configured to:
Creating a monitoring template based on a first preset program, and generating a corresponding monitoring time sequence according to the monitoring time data, wherein the monitoring template comprises a first area and a second area, and the first area corresponds to the second area;
mapping the monitoring time sequence to the first area correspondingly, and mapping the pollutant concentration value to the second area correspondingly according to the monitoring time sequence;
sequentially integrating the pollutant concentration values in the second area to generate a corresponding pollutant concentration sequence, and arranging and combining the monitoring time sequence and the pollutant concentration sequence based on the monitoring template to correspondingly generate the monitoring data chain, wherein the monitoring data chain has uniqueness;
the acquisition module is also specifically configured to:
when the monitoring data chain is acquired, a two-dimensional space is created through a second preset program, and a two-dimensional reference surface is randomly created in the two-dimensional space;
randomly creating a coordinate origin in the two-dimensional reference plane, and extending a corresponding two-dimensional coordinate system based on the coordinate origin, wherein an x axis and a y axis of the two-dimensional coordinate system are parallel to the two-dimensional reference plane;
Setting the monitoring time sequence as an x-axis of the two-dimensional coordinate system, and setting the pollutant concentration sequence as a y-axis of the two-dimensional coordinate system;
inputting the monitoring data chain into the two-dimensional coordinate system to generate a plurality of corresponding monitoring points in the two-dimensional coordinate system, and sequentially connecting the plurality of monitoring points in the two-dimensional coordinate system to correspondingly generate the change curve graph;
the extraction module is specifically used for:
dividing the target monitoring area into a plurality of corresponding monitoring subareas, acquiring monitoring data sets corresponding to each monitoring subarea respectively according to the historical meteorological data, wherein the size of each monitoring subarea is equal, and each monitoring data set contains a specific numerical value;
detecting whether each monitoring data set contains the numerical value corresponding to the maximum value point or the minimum value point one by one;
and if the monitoring data set is detected to contain the numerical value corresponding to the maximum value point or the minimum value point, setting the monitoring subarea corresponding to the current monitoring data set as the target generation place.
4. A computer comprising a memory, a processor and a computer program stored on the memory and executable on the processor, wherein the processor implements the method of regional air environmental quality monitoring of any one of claims 1 to 2 when the computer program is executed.
5. A readable storage medium having stored thereon a computer program, which when executed by a processor implements the regional air environment quality monitoring method of any one of claims 1 to 2.
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