CN112232251A - Internet-based environment monitoring method, system, storage medium and equipment - Google Patents
Internet-based environment monitoring method, system, storage medium and equipment Download PDFInfo
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Abstract
The invention relates to an environmental monitoring method, a system, a storage medium and equipment based on the Internet, wherein the method comprises the steps of collecting environmental parameter information of a target area in real time; when the environment parameter information after signal processing triggers an early warning condition, performing local space autocorrelation analysis on the target area, and calculating a relative environment quality index of a local space; and carrying out minimum variance cluster analysis on the local spaces to obtain the relative environmental quality grade of each type of local space. Whether an early warning condition is triggered or not is preliminarily judged, the overall environmental quality of the target area can be preliminarily evaluated, then local spatial autocorrelation analysis is carried out on the target area, the local spatial pertinence analysis is carried out, cluster analysis is carried out by combining relative environmental quality indexes of local spaces, the environmental quality grade of each category of local spaces is determined, the environmental quality monitoring precision is greatly improved, the environmental quality condition of the target area can be accurately reflected, and guidance is provided for scientific environmental management.
Description
Technical Field
The invention relates to the technical field of environmental monitoring, in particular to an environmental monitoring method, an environmental monitoring system, a storage medium and an environmental monitoring device based on the Internet.
Background
With the continuous development of economic society and the continuous increase of population, the environmental pollution is more and more serious, the environmental protection becomes one of the very important issues for human beings, and the environmental monitoring becomes one of the indispensable links to know the environmental conditions and quality in a certain region or the whole country. The atmospheric pollutant monitoring index in the environmental monitoring is sulfur dioxide, nitrogen oxide, ozone, carbon monoxide, PM1 (particles with aerodynamic particle size less than 1 micron), PM2.5 (particles with aerodynamic particle size less than 2.5 microns), PM10 (particles with aerodynamic particle size less than 10 microns), PM100 (particles with aerodynamic particle size less than 100 microns), VOCs (volatile organic compounds) or TVOC (total volatile organic compounds) and the like in the atmosphere. For any one of the environmental parameters, in the prior art, a large number of field environmental information and original monitoring data information need to be collected by a large number of environment monitoring workers, and then the information is processed to obtain an environmental index of an overall area, however, in this way, the environmental index of a specific area is quantized on the whole, for the collected huge data information, the information is simply compared with a certain set standard directly to judge the environmental quality, then the environmental quality grade is determined according to the number proportion of sampling points exceeding the preset standard in a certain area, the excessive data proportion in the sampled huge data information is used for environmental monitoring, and no screening processing is needed, so that the environmental quality grade of a local area cannot be accurately reflected, and the environmental quality grade is not accurate enough.
Disclosure of Invention
The technical problem to be solved by the present invention is to provide an internet-based environment monitoring method, system, storage medium and device, aiming at the above-mentioned deficiencies of the prior art.
The technical scheme for solving the technical problems is as follows: an environment monitoring method based on the Internet comprises the following steps:
collecting environmental parameter information of a target area in real time, and carrying out signal processing on the environmental parameter information;
when the environment parameter information after signal processing triggers an early warning condition, performing local spatial autocorrelation analysis on the target area according to the environment parameter information after signal processing, and calculating a relative environment quality index of a local space;
and performing minimum variance cluster analysis on the local spaces according to the relative environment quality index to obtain the relative environment quality grade of each type of local space.
The invention has the beneficial effects that: according to the Internet-based environment monitoring method, whether an early warning condition is triggered or not is preliminarily judged through the environment parameter information of the target area, the overall environment quality of the target area can be preliminarily evaluated, then local space autocorrelation analysis is carried out on the target area, the environment quality of the local space is subjected to targeted analysis, cluster analysis is carried out by combining the relative environment quality indexes of the local space, the environment quality grade of each type of local space is determined, the environment quality monitoring precision is greatly improved, the environment quality condition of the target area can be accurately reflected, guidance is conveniently provided for scientific environment management, and the Internet-based environment monitoring method is suitable for large-area popularization and application.
On the basis of the technical scheme, the invention can be further improved as follows:
further: the specific method for judging whether the environmental parameter information after signal processing triggers the early warning condition is as follows:
and comparing the environmental parameter values in the environmental parameter information after signal processing with corresponding preset environmental parameter thresholds, if the duration that the average value of any environmental parameter in the environmental parameter information is greater than the corresponding environmental parameter threshold exceeds the corresponding preset environmental parameter time threshold, determining to trigger the early warning condition, otherwise, not triggering.
The beneficial effects of the further scheme are as follows: the environment parameter information after signal processing is compared with the corresponding preset environment parameter threshold value, whether the environment parameter information exceeds the corresponding preset environment parameter threshold value or not can be accurately judged, whether the environment parameter information of the target area needs further detailed monitoring or not can be preliminarily judged, and early warning conditions are timely triggered when the environment parameter information of the target area is abnormal, and accurate monitoring is carried out.
Further: the performing local spatial autocorrelation analysis on the target region according to the environment parameter information after signal processing specifically includes the following steps:
dividing the target area to obtain a plurality of grids with the same specification;
performing Moran index significance test on the region corresponding to each grid according to the environment parameter information after signal processing, and determining whether the Moran index of the region corresponding to each grid is significant;
and when the Moran index of the grid is obvious, determining the deviation degree of the environment parameter information of the area corresponding to the grid, and calculating the relative environment quality index of the area corresponding to the grid according to the deviation degree of the environment parameter information.
The beneficial effects of the further scheme are as follows: by dividing the target area and carrying out Moran index significance test on each grid, the aggregation degree and the correlation of the environmental parameters among the grids can be determined, part of the environmental parameter information corresponding to the grids which do not meet the requirements can be preliminarily screened and removed, the accuracy of the data is greatly improved, the abnormal degree of the corresponding environmental parameter information can be reflected according to the deviation degree of the environmental parameter information of the corresponding area of the grids, the relative environmental quality index is obtained through calculation, and the environmental quality condition of the corresponding area of the local grid can be very accurately reflected.
Further: the performing a morn index significance test on the region corresponding to each grid according to the environment parameter information after the signal processing, and determining whether the morn index of the region corresponding to each grid is significant specifically includes the following steps:
calculating the corresponding Moran index of the area where the grid is located according to the environment parameter information;
and calculating the significance index of the Moran index corresponding to the grid according to the Moran index, wherein the specific calculation formula is as follows:
wherein, IiThe Moire index of the corresponding area of the grid i, E (I) the expectation value of the Moire index of all grids of the target area,
the variance of the corresponding Moran indices for all grids of the target area, Z (I)i) The significance index of the Moire index of the corresponding area of the grid i;
comparing the significance index of the Moran index with a preset significance index threshold, wherein when the significance index of the Moran index is greater than or equal to the preset significance index threshold, the environment parameter information of the corresponding area of the grid is significant; otherwise, it is not significant.
The beneficial effects of the further scheme are as follows: by calculating the Moran index and the significance index of each grid, whether the Moran index of each grid is significant or not can be accurately judged so as to screen out the grids with high aggregation degree and high correlation in the local space, so that the environmental quality of the local space can be better represented, and meanwhile, the data processing capacity is greatly improved.
Further: the determining the deviation degree of the environment parameter information of the area corresponding to the grid when the morn index of the grid is significant specifically includes the following steps:
wherein x isiThe value of the ambient parameter for the ith sample point in the grid,
is the average value of the environmental parameters of all sampling points in the grid, and Deltax is the difference value of the environmental parameter value of the ith sampling point in the grid and the average value of the environmental parameters of all sampling points in the grid, and the Deltax isTIs a deviation threshold value of the environmental parameter value of the sampling point and the average value of the environmental parameters of all the sampling points in the grid, CwiAs a weighting factor for the ith environmental parameter in the grid, DeAnd the deviation degree of the environment parameter information of the corresponding area of the grid.
The beneficial effects of the further scheme are as follows: the deviation degree of the environmental parameter information of the corresponding area of the grid can be accurately calculated by calculating the difference value of the environmental parameter value of any sampling point in the grid and the average value of the environmental parameters of all the sampling points in the grid and combining the corresponding preset weight coefficient, so that the deviation degree between the local grid and the normal environmental parameter value is reflected integrally, and the environmental quality index can be accurately calculated subsequently according to the deviation degree of the environmental parameter information.
Further: the specific calculation formula for calculating the relative environment quality index of the corresponding area of the grid according to the deviation degree of the environment parameter information is as follows:
wherein x isiThe value of the ambient parameter, s, for the ith sample point in the gridiIs a standard value of the environmental parameter.
The beneficial effects of the further scheme are as follows: the environmental quality of the local grid is quantified by combining the deviation of the environmental parameter information with the environmental parameter values of all sampling points in the grid and the standard values of the environmental parameters, so that the relative environmental quality grade of the corresponding area of the local grid is conveniently quantified subsequently according to the relative environmental quality index, and guidance is provided for scientific environmental management.
Further: the minimum variance clustering analysis of the local space according to the relative environment quality index specifically comprises the following steps:
calculating the dispersion square sum of the relative environment quality indexes corresponding to each grid;
combining the relative environment quality indexes of the corresponding areas of any two grids to form a relative environment quality index set, and calculating the dispersion square sum of the relative environment quality index set;
merging the two relative environment quality index sets with the minimum variance sum of squares after merging;
repeating the steps until the number of the relative environment quality index sets is equal to the number of the preset environment quality grades, so as to divide all grids into a plurality of categories with the same number as the preset environment quality grades;
and calculating the mathematical expectation of the relative environment quality index set, and determining the relative environment quality grade of the grids of the corresponding category in a one-to-one correspondence mode according to the size of the mathematical expectation of each category of the relative environment quality index set.
The beneficial effects of the further scheme are as follows: through the least square deviation cluster analysis, all the grids obtained by division can be classified and combined in sequence to realize the clustering of all the grids, so that all the grids are finally classified into the types with the same quantity as the preset urban heat island strength grades, the types are determined in one-to-one correspondence with the preset urban heat island strength grades, and the environment quality grades of the corresponding areas of the local grids are accurately obtained.
The invention also provides an internet-based environment monitoring system, which comprises an acquisition processing module, an autocorrelation analysis module and a cluster analysis module;
the acquisition processing module is used for acquiring environmental parameter information of a target area in real time and processing signals of the environmental parameter information;
the autocorrelation analysis module is used for performing local spatial autocorrelation analysis on the target area according to the environment parameter information after signal processing when the environment parameter information after signal processing triggers an early warning condition, and calculating a relative environment quality index of a local space;
and the clustering analysis module performs minimum variance clustering analysis on the local spaces according to the relative environment quality index to obtain the relative environment quality grade of each type of local spaces.
According to the Internet-based environment monitoring system, whether an early warning condition is triggered or not is preliminarily judged through the environment parameter information of the target area, the overall environment quality of the target area can be preliminarily evaluated, then local space autocorrelation analysis is carried out on the target area, the environment quality of a local space is subjected to targeted analysis, cluster analysis is carried out by combining the relative environment quality indexes of the local space, the environment quality grade of each type of local space is determined, the environment quality monitoring precision is greatly improved, the environment quality condition of the target area can be accurately reflected, guidance is conveniently provided for scientific environment management, and the Internet-based environment monitoring system is suitable for large-area popularization and application.
The invention also provides a computer-readable storage medium, on which a computer program is stored which, when being executed by a processor, carries out the method.
The invention also provides an internet-based environment monitoring device, which comprises the storage medium and a processor, wherein the processor realizes the steps of the method when executing the computer program on the storage medium.
Drawings
FIG. 1 is a flow chart of an Internet-based environment monitoring method according to an embodiment of the invention;
fig. 2 is a schematic structural diagram of an internet-based environment monitoring system according to an embodiment of the present invention.
Detailed Description
The principles and features of this invention are described below in conjunction with the following drawings, which are set forth by way of illustration only and are not intended to limit the scope of the invention.
As shown in fig. 1, an internet-based environment monitoring method includes the following steps:
s11: collecting environmental parameter information of a target area in real time, and carrying out signal processing on the environmental parameter information;
s12: when the environment parameter information after signal processing triggers an early warning condition, performing local spatial autocorrelation analysis on the target area according to the environment parameter information after signal processing, and calculating a relative environment quality index of a local space;
s13: and performing minimum variance cluster analysis on the local spaces according to the relative environment quality index to obtain the relative environment quality grade of each type of local space.
According to the Internet-based environment monitoring method, whether an early warning condition is triggered or not is preliminarily judged through the environment parameter information of the target area, the overall environment quality of the target area can be preliminarily evaluated, then local space autocorrelation analysis is carried out on the target area, the environment quality of the local space is subjected to targeted analysis, cluster analysis is carried out by combining the relative environment quality indexes of the local space, the environment quality grade of each type of local space is determined, the environment quality monitoring precision is greatly improved, the environment quality condition of the target area can be accurately reflected, guidance is conveniently provided for scientific environment management, and the Internet-based environment monitoring method is suitable for large-area popularization and application.
In one or more embodiments of the present invention, a plurality of sampling points are selected in a target area in advance, and environmental parameters are sampled respectively to obtain corresponding environmental parameter information, where the environmental parameter information may be collected respectively for different environmental parameters, and in an embodiment of the present invention, the environmental parameter information may be concentrations of sulfur dioxide, nitrogen oxides, ozone, carbon monoxide, PM1, PM2.5, PM10, PM100, VOCs, TVOCs, or the like.
In the invention, the signal processing of the environmental parameter information mainly comprises methods, filtering and analog-to-digital conversion processing, so that clutter components in the signals can be removed, the subsequent calculation according to the environmental parameter information after the signal processing is ensured, and the accuracy of the calculation result is ensured.
In one or more embodiments of the present invention, a specific method for determining whether the environmental parameter information after signal processing triggers an early warning condition is as follows:
and comparing the environmental parameter values in the environmental parameter information after signal processing with corresponding preset environmental parameter thresholds, if the duration that the average value of any environmental parameter in the environmental parameter information is greater than the corresponding environmental parameter threshold exceeds the corresponding preset environmental parameter time threshold, determining to trigger the early warning condition, otherwise, not triggering.
The environment parameter information after signal processing is compared with the corresponding preset environment parameter threshold value, whether the environment parameter information exceeds the corresponding preset environment parameter threshold value or not can be accurately judged, whether the environment parameter information of the target area needs further detailed monitoring or not can be preliminarily judged, and early warning conditions are timely triggered when the environment parameter information of the target area is abnormal, and accurate monitoring is carried out.
It should be noted that, in the embodiment of the present invention, if it is determined that the early warning condition is not triggered according to the environment parameter information after the signal processing, the environment quality index may be defaulted to be the highest (the higher the environment quality index is, the higher the environment quality is), that is, the relative environment quality level is the highest level. If the environment quality without triggering the early warning condition needs to be further subdivided and evaluated, the average value of the environment quality can be calculated according to the environment parameters after signal processing, and the subdivision grade of the environment quality can be determined according to the comparison between the average value and the standard value of the corresponding environment parameter.
In one or more embodiments of the present invention, the performing local spatial autocorrelation analysis on the target region according to the environment parameter information after signal processing specifically includes the following steps:
s21: dividing the target area to obtain a plurality of grids with the same specification;
s22: performing Moran index significance test on the region corresponding to each grid according to the environment parameter information after signal processing, and determining whether the Moran index of the region corresponding to each grid is significant;
s23: and when the Moran index of the grid is obvious, determining the deviation degree of the environment parameter information of the area corresponding to the grid, and calculating the relative environment quality index of the area corresponding to the grid according to the deviation degree of the environment parameter information.
By dividing the target area and carrying out Moran index significance test on each grid, the aggregation degree and the correlation of the environmental parameters among the grids can be determined, part of the environmental parameter information corresponding to the grids which do not meet the requirements can be preliminarily screened and removed, the accuracy of the data is greatly improved, the abnormal degree of the corresponding environmental parameter information can be reflected according to the deviation degree of the environmental parameter information of the corresponding area of the grids, the relative environmental quality index is obtained through calculation, and the environmental quality condition of the corresponding area of the local grid can be very accurately reflected.
In the embodiment of the invention, on the premise of ensuring the accuracy of the calculation result, the target area can be divided by selecting the size with proper specification, in the embodiment of the invention, the specification of the grid is 1000m by 1000m, and the number of sampling points in each grid is not less than 30.
Specifically, in one or more embodiments of the present invention, the performing a morn index significance test on the region corresponding to each grid according to the environment parameter information after signal processing, and determining whether the morn index of the region corresponding to each grid is significant specifically includes the following steps:
s31: calculating the corresponding Moran index of the area where the grid is located according to the environment parameter information;
s32: and calculating the significance index of the Moran index corresponding to the grid according to the Moran index, wherein the specific calculation formula is as follows:
wherein, IiThe Moire index of the corresponding area of the grid i, E (I) the expectation value of the Moire index of all grids of the target area,
the variance of the corresponding Moran indices for all grids of the target area, Z (I)i) The significance index of the Moire index of the corresponding area of the grid i;
s33: comparing the significance index of the Moran index with a preset significance index threshold, wherein when the significance index of the Moran index is greater than or equal to the preset significance index threshold, the environment parameter information of the corresponding area of the grid is significant; otherwise, it is not significant.
By calculating the Moran index and the significance index of each grid, whether the Moran index of each grid is significant or not can be accurately judged so as to screen out the grids with high aggregation degree and high correlation in the local space, so that the environmental quality of the local space can be better represented, and meanwhile, the data processing capacity is greatly improved. Here, the formula for calculating the morland index is prior art and will not be described in detail here.
In the embodiment of the invention, the Moran index is a rational number, the Moran index is subjected to variance normalization processing for convenient calculation, the value range of the Moran index subjected to the variance normalization processing is [ -1.0, +1.0], and when the Moran index is greater than 0, the environmental parameter information in the grid presents space positive correlation, and the larger the value is, the more obvious the space correlation is; when the Moran index is less than 0, the environment parameter information in the grid presents a space negative correlation, and the smaller the value of the environment parameter information, the larger the space correlation.
In one or more embodiments of the present invention, the determining the deviation degree of the environmental parameter information of the corresponding region of the grid when the morn index of the grid is significant specifically includes the following steps:
wherein x isiThe value of the ambient parameter for the ith sample point in the grid,
is the average value of the environmental parameters of all sampling points in the grid, and Deltax is the difference value of the environmental parameter value of the ith sampling point in the grid and the average value of the environmental parameters of all sampling points in the grid, and the Deltax isTIs a deviation threshold value of the environmental parameter value of the sampling point and the average value of the environmental parameters of all the sampling points in the grid, CwiAs a weighting factor for the ith environmental parameter in the grid, DeAnd the deviation degree of the environment parameter information of the corresponding area of the grid.
The deviation degree of the environmental parameter information of the corresponding area of the grid can be accurately calculated by calculating the difference value of the environmental parameter value of any sampling point in the grid and the average value of the environmental parameters of all the sampling points in the grid and combining the corresponding preset weight coefficient, so that the deviation degree between the local grid and the normal environmental parameter value is reflected integrally, and the environmental quality index can be accurately calculated subsequently according to the deviation degree of the environmental parameter information.
In one or more embodiments of the present invention, the specific calculation formula for calculating the relative environmental quality index of the area corresponding to the grid according to the deviation degree of the environmental parameter information is as follows:
wherein x isiThe value of the ambient parameter, s, for the ith sample point in the gridiIs a standard value of the environmental parameter.
The environment quality of the local grid is quantified by combining the deviation degree of the environment parameter information with the environment parameter values of all sampling points in the grid and the standard values of the environment parameters, so that the subsequent quantification is convenient according to the relative environment quality indexAnd the relative environmental quality grade of the corresponding area of the local grid provides guidance for scientific environmental governance. Here, siDefaulting to an annual average secondary standard value, and when the environmental parameter is CO, taking the environmental parameter as a daily average secondary standard value; when the environmental parameter is O3The standard value is 8-hour average secondary standard value.
In one or more embodiments of the present invention, the performing the least variance clustering analysis on the local space according to the relative environmental quality index specifically includes the following steps:
s41: calculating the dispersion square sum of the relative environment quality indexes corresponding to each grid;
s42, combining the relative environment quality indexes of the corresponding areas of any two grids to form a relative environment quality index set, and calculating the dispersion square sum of the relative environment quality index set;
s43, merging the two relative environment quality index sets with the minimum variance sum of squared deviations after merging;
s44: repeating the steps S41-S43 until the number of the relative environmental quality index sets is equal to the number of the preset environmental quality grades, so as to divide all grids into a plurality of categories with the same number as the preset environmental quality grades;
s45: and calculating the mathematical expectation of the relative environment quality index set, and determining the relative environment quality grade of the grids of the corresponding category in a one-to-one correspondence mode according to the size of the mathematical expectation of each category of the relative environment quality index set.
Through the least square deviation cluster analysis, all the grids obtained by division can be classified and combined in sequence to realize the clustering of all the grids, so that all the grids are finally classified into the types with the same quantity as the preset urban heat island strength grades, the types are determined in one-to-one correspondence with the preset urban heat island strength grades, and the environment quality grades of the corresponding areas of the local grids are accurately obtained.
It is specifically noted that for environmental monitoring of different target areas, different environmental parameters may be selected, such as industrial areas, sulfur dioxide or nitrogen oxidation may be selected for monitoring, environmental quality of the target area may be evaluated, such as residential areas, and PM2.5 may be selected for monitoring. In practice, in order to perform overall evaluation on an environment, a plurality of environment parameters are usually selected for monitoring, and in the present invention, a target region may be divided and a cluster analysis of local regions may be performed, so that the most important environment parameters may be selected for the local regions for evaluation.
If multi-parameter environment monitoring is needed, each environment parameter information space self-correlation analysis can be carried out, the weight corresponding to each parameter is given according to whether each environment parameter exceeds the corresponding environment parameter threshold value or not and the proportion of exceeding the corresponding environment parameter threshold value, so that the comprehensive environment index of the local area is calculated, finally, minimum variance cluster analysis is carried out according to the comprehensive environment index, the relative environment quality grade of each type of local space is obtained, and multi-parameter environment monitoring is completed.
As shown in fig. 2, the present invention further provides an internet-based environment monitoring system, which includes an acquisition processing module, an autocorrelation analysis module, and a cluster analysis module;
the acquisition processing module is used for acquiring environmental parameter information of a target area in real time and processing signals of the environmental parameter information;
the autocorrelation analysis module is used for performing local spatial autocorrelation analysis on the target area according to the environment parameter information after signal processing when the environment parameter information after signal processing triggers an early warning condition, and calculating a relative environment quality index of a local space;
and the clustering analysis module performs minimum variance clustering analysis on the local spaces according to the relative environment quality index to obtain the relative environment quality grade of each type of local spaces.
According to the Internet-based environment monitoring system, whether an early warning condition is triggered or not is preliminarily judged through the environment parameter information of the target area, the overall environment quality of the target area can be preliminarily evaluated, then local space autocorrelation analysis is carried out on the target area, the environment quality of a local space is subjected to targeted analysis, cluster analysis is carried out by combining the relative environment quality indexes of the local space, the environment quality grade of each type of local space is determined, the environment quality monitoring precision is greatly improved, the environment quality condition of the target area can be accurately reflected, guidance is conveniently provided for scientific environment management, and the Internet-based environment monitoring system is suitable for large-area popularization and application.
In one or more embodiments of the present invention, the specific implementation of the autocorrelation analysis module determining whether the environmental parameter information after signal processing triggers an early warning condition is:
and comparing the environmental parameter values in the environmental parameter information after signal processing with corresponding preset environmental parameter thresholds, if the duration that the average value of any environmental parameter in the environmental parameter information is greater than the corresponding environmental parameter threshold exceeds the corresponding preset environmental parameter time threshold, determining to trigger the early warning condition, otherwise, not triggering.
The environment parameter information after signal processing is compared with the corresponding preset environment parameter threshold value, whether the environment parameter information exceeds the corresponding preset environment parameter threshold value or not can be accurately judged, whether the environment parameter information of the target area needs further detailed monitoring or not can be preliminarily judged, and early warning conditions are timely triggered when the environment parameter information of the target area is abnormal, and accurate monitoring is carried out.
In one or more embodiments of the present invention, the implementation of the autocorrelation analysis module performing local spatial autocorrelation analysis on the target region according to the environment parameter information after signal processing is as follows:
dividing the target area to obtain a plurality of grids with the same specification;
performing Moran index significance test on the region corresponding to each grid according to the environment parameter information after signal processing, and determining whether the Moran index of the region corresponding to each grid is significant;
and when the Moran index of the grid is obvious, determining the deviation degree of the environment parameter information of the area corresponding to the grid, and calculating the relative environment quality index of the area corresponding to the grid according to the deviation degree of the environment parameter information.
By dividing the target area and carrying out Moran index significance test on each grid, the aggregation degree and the correlation of the environmental parameters among the grids can be determined, part of the environmental parameter information corresponding to the grids which do not meet the requirements can be preliminarily screened and removed, the accuracy of the data is greatly improved, the abnormal degree of the corresponding environmental parameter information can be reflected according to the deviation degree of the environmental parameter information of the corresponding area of the grids, the relative environmental quality index is obtained through calculation, and the environmental quality condition of the corresponding area of the local grid can be very accurately reflected.
In one or more embodiments of the present invention, the performing, by the autocorrelation analysis module, a morn index significance test on the region corresponding to each grid according to the environment parameter information after signal processing, and determining whether the morn index of the region corresponding to each grid is significant specifically includes the following steps:
calculating the corresponding Moran index of the area where the grid is located according to the environment parameter information;
and calculating the significance index of the Moran index corresponding to the grid according to the Moran index, wherein the specific calculation formula is as follows:
wherein, IiThe Moire index of the corresponding area of the grid i, E (I) the expectation value of the Moire index of all grids of the target area,
the variance of the corresponding Moran indices for all grids of the target area, Z (I)i) The significance index of the Moire index of the corresponding area of the grid i;
comparing the significance index of the Moran index with a preset significance index threshold, wherein when the significance index of the Moran index is greater than or equal to the preset significance index threshold, the environment parameter information of the corresponding area of the grid is significant; otherwise, it is not significant.
By calculating the Moran index and the significance index of each grid, whether the Moran index of each grid is significant or not can be accurately judged so as to screen out the grids with high aggregation degree and high correlation in the local space, so that the environmental quality of the local space can be better represented, and meanwhile, the data processing capacity is greatly improved.
In one or more embodiments of the present invention, the determining, by the autocorrelation analysis module, the deviation degree of the environmental parameter information of the area corresponding to the grid when the morlan index of the grid is significant specifically includes the following steps:
wherein x isiThe value of the ambient parameter for the ith sample point in the grid,
is the average value of the environmental parameters of all sampling points in the grid, and Deltax is the difference value of the environmental parameter value of the ith sampling point in the grid and the average value of the environmental parameters of all sampling points in the grid, and the Deltax isTIs a deviation threshold value of the environmental parameter value of the sampling point and the average value of the environmental parameters of all the sampling points in the grid, CwiAs a weighting factor for the ith environmental parameter in the grid, DeAnd the deviation degree of the environment parameter information of the corresponding area of the grid.
The deviation degree of the environmental parameter information of the corresponding area of the grid can be accurately calculated by calculating the difference value of the environmental parameter value of any sampling point in the grid and the average value of the environmental parameters of all the sampling points in the grid and combining the corresponding preset weight coefficient, so that the deviation degree between the local grid and the normal environmental parameter value is reflected integrally, and the environmental quality index can be accurately calculated subsequently according to the deviation degree of the environmental parameter information.
In one or more embodiments of the present invention, a specific calculation formula of the autocorrelation analysis module for calculating the relative environmental quality index of the area corresponding to the grid according to the deviation degree of the environmental parameter information is as follows:
wherein x isiThe value of the ambient parameter, s, for the ith sample point in the gridiIs a standard value of the environmental parameter.
The environmental quality of the local grid is quantified by combining the deviation of the environmental parameter information with the environmental parameter values of all sampling points in the grid and the standard values of the environmental parameters, so that the relative environmental quality grade of the corresponding area of the local grid is conveniently quantified subsequently according to the relative environmental quality index, and guidance is provided for scientific environmental management.
In one or more embodiments of the present invention, the implementation of the cluster analysis module performing the minimum variance cluster analysis on the local space according to the relative environment quality index is as follows:
calculating the dispersion square sum of the relative environment quality indexes corresponding to each grid;
combining the relative environment quality indexes of the corresponding areas of any two grids to form a relative environment quality index set, and calculating the dispersion square sum of the relative environment quality index set;
merging the two relative environment quality index sets with the minimum variance sum of squares after merging;
repeating the steps until the number of the relative environment quality index sets is equal to the number of the preset environment quality grades, so as to divide all grids into a plurality of categories with the same number as the preset environment quality grades;
and calculating the mathematical expectation of the relative environment quality index set, and determining the relative environment quality grade of the grids of the corresponding category in a one-to-one correspondence mode according to the size of the mathematical expectation of each category of the relative environment quality index set.
Through the least square deviation cluster analysis, all the grids obtained by division can be classified and combined in sequence to realize the clustering of all the grids, so that all the grids are finally classified into the types with the same quantity as the preset urban heat island strength grades, the types are determined in one-to-one correspondence with the preset urban heat island strength grades, and the environment quality grades of the corresponding areas of the local grids are accurately obtained. In the embodiment of the invention, the local spaces are subjected to ward minimum variance clustering analysis according to the relative environmental quality index so as to obtain the relative environmental quality grade of each type of local spaces.
The invention also provides a computer-readable storage medium, on which a computer program is stored which, when being executed by a processor, carries out the method.
The invention also provides an internet-based environment monitoring device, which comprises the storage medium and a processor, wherein the processor realizes the steps of the method when executing the computer program on the storage medium.
In the description herein, references to the description of the term "one embodiment," "some embodiments," "an example," "a specific example," or "some examples," etc., mean 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 invention. In this specification, the schematic representations of the terms used above do not necessarily refer to the same embodiment or example. Furthermore, the particular features, structures, materials, or characteristics described may be combined in any suitable manner in any one or more embodiments or examples.
Although embodiments of the present invention have been shown and described above, it is understood that the above embodiments are exemplary and should not be construed as limiting the present invention, and that variations, modifications, substitutions and alterations can be made in the above embodiments by those of ordinary skill in the art without departing from the principle and spirit of the present invention.
Claims (10)
1. An environment monitoring method based on the Internet is characterized by comprising the following steps:
collecting environmental parameter information of a target area in real time, and carrying out signal processing on the environmental parameter information;
when the environment parameter information after signal processing triggers an early warning condition, performing local spatial autocorrelation analysis on the target area according to the environment parameter information after signal processing, and calculating a relative environment quality index of a local space;
and performing minimum variance cluster analysis on the local spaces according to the relative environment quality index to obtain the relative environment quality grade of each type of local space.
2. The internet-based environment monitoring method of claim 1, wherein the specific method for determining whether the environment parameter information after signal processing triggers an early warning condition is:
and comparing the environmental parameter values in the environmental parameter information after signal processing with corresponding preset environmental parameter thresholds, if the duration that the average value of any environmental parameter in the environmental parameter information is greater than the corresponding environmental parameter threshold exceeds the corresponding preset environmental parameter time threshold, determining to trigger the early warning condition, otherwise, not triggering.
3. The internet-based environment monitoring method according to claim 2, wherein the local spatial autocorrelation analysis of the target area according to the environment parameter information after signal processing specifically comprises the following steps:
dividing the target area to obtain a plurality of grids with the same specification;
performing Moran index significance test on the region corresponding to each grid according to the environment parameter information after signal processing, and determining whether the Moran index of the region corresponding to each grid is significant;
and when the Moran index of the grid is obvious, determining the deviation degree of the environment parameter information of the area corresponding to the grid, and calculating the relative environment quality index of the area corresponding to the grid according to the deviation degree of the environment parameter information.
4. The internet-based environment monitoring method according to claim 3, wherein the performing a Moran index significance test on the region corresponding to each grid according to the environment parameter information after signal processing, and determining whether the Moran index of the region corresponding to each grid is significant specifically comprises the following steps:
calculating the corresponding Moran index of the area where the grid is located according to the environment parameter information;
and calculating the significance index of the Moran index corresponding to the grid according to the Moran index, wherein the specific calculation formula is as follows:
wherein, IiThe Moire index of the corresponding area of the grid i, E (I) the expectation value of the Moire index of all grids of the target area,
the variance of the corresponding Moran indices for all grids of the target area, Z (I)i) The significance index of the Moire index of the corresponding area of the grid i;
comparing the significance index of the Moran index with a preset significance index threshold, wherein when the significance index of the Moran index is greater than or equal to the preset significance index threshold, the environment parameter information of the corresponding area of the grid is significant; otherwise, it is not significant.
5. The internet-based environment monitoring method of claim 3, wherein the determining the deviation degree of the environment parameter information of the corresponding area of the grid when the Moran index of the grid is significant specifically comprises the following steps:
wherein x isiThe value of the ambient parameter for the ith sample point in the grid,
is the average value of the environmental parameters of all sampling points in the grid, and Deltax is the difference value of the environmental parameter value of the ith sampling point in the grid and the average value of the environmental parameters of all sampling points in the grid, and the Deltax isTIs a deviation threshold value of the environmental parameter value of the sampling point and the average value of the environmental parameters of all the sampling points in the grid, CwiAs a weighting factor for the ith environmental parameter in the grid, DeAnd the deviation degree of the environment parameter information of the corresponding area of the grid.
6. The internet-based environment monitoring method according to claim 5, wherein the specific calculation formula for calculating the relative environment quality index of the grid corresponding region according to the deviation degree of the environment parameter information is:
wherein x isiThe value of the ambient parameter, s, for the ith sample point in the gridiIs a standard value of the environmental parameter.
7. The internet-based environment monitoring method of claim 3, wherein the performing least variance cluster analysis on the local space according to the relative environment quality index specifically comprises the following steps:
calculating the dispersion square sum of the relative environment quality indexes corresponding to each grid;
combining the relative environment quality indexes of the corresponding areas of any two grids to form a relative environment quality index set, and calculating the dispersion square sum of the relative environment quality index set;
merging the two relative environment quality index sets with the minimum variance sum of squares after merging;
repeating the steps until the number of the relative environment quality index sets is equal to the number of the preset environment quality grades, so as to divide all grids into a plurality of categories with the same number as the preset environment quality grades;
and calculating the mathematical expectation of the relative environment quality index set, and determining the relative environment quality grade of the grids of the corresponding category in a one-to-one correspondence mode according to the size of the mathematical expectation of each category of the relative environment quality index set.
8. An environment monitoring system based on the Internet is characterized by comprising an acquisition processing module, an autocorrelation analysis module and a cluster analysis module;
the acquisition processing module is used for acquiring environmental parameter information of a target area in real time and processing signals of the environmental parameter information;
the autocorrelation analysis module is used for performing local spatial autocorrelation analysis on the target area according to the environment parameter information after signal processing when the environment parameter information after signal processing triggers an early warning condition, and calculating a relative environment quality index of a local space;
and the cluster analysis module is used for carrying out minimum variance cluster analysis on the local space according to the relative environment quality index to obtain the relative environment quality grade of each type of local space.
9. A computer-readable storage medium, in which a computer program is stored which, when being executed by a processor, carries out the method of any one of claims 1 to 7.
10. An internet-based environment monitoring device, comprising a storage medium according to claim 9 and a processor which, when executing a computer program on the storage medium, carries out the steps of the method according to any one of claims 1 to 7.
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Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN114486656A (en) * | 2021-12-31 | 2022-05-13 | 扬州江净空调制造有限公司 | Dynamic environment monitoring system for medical clean room |
| CN117540229A (en) * | 2023-11-15 | 2024-02-09 | 广东万为控制技术有限公司 | Atmospheric environment monitoring method based on clustering algorithm |
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Cited By (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN114486656A (en) * | 2021-12-31 | 2022-05-13 | 扬州江净空调制造有限公司 | Dynamic environment monitoring system for medical clean room |
| CN114486656B (en) * | 2021-12-31 | 2022-12-02 | 扬州江净空调制造有限公司 | Dynamic environment monitoring system for medical clean room |
| CN117540229A (en) * | 2023-11-15 | 2024-02-09 | 广东万为控制技术有限公司 | Atmospheric environment monitoring method based on clustering algorithm |
| CN117540229B (en) * | 2023-11-15 | 2024-04-30 | 广东万为控制技术有限公司 | Atmospheric environment monitoring method based on clustering algorithm |
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