CN109613179A - Accumulate the determination method of Spring layer - Google Patents
Accumulate the determination method of Spring layer Download PDFInfo
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Abstract
The present invention provides a kind of determination methods for accumulating Spring layer, comprising: obtains in the first duration, the number first pollution object concentration data of each grid in first area；Obtain the first grid collection comprising the first quantity grid；Calculate the first concentration difference；It repeats the above steps, until obtaining the corresponding n-th pollutant concentration data of the n-th duration, the n-th grid collection, the n-th concentration difference；Wherein, the n-th grid collection includes the n-th quantity grid；According to the number of the first to n-th quantity grid, target gridding collection and the wherein mean value of each grid are determined；According to default rule, weighted value is set for each grid that target gridding is concentrated；The score that target gridding concentrates each grid is calculated, determines high level grid, i.e. accumulation Spring layer.Accumulation Spring layer is fast and accurately determined as a result, improves the validity of determining accumulation Spring layer, and improves the accuracy and validity of entire environmental monitoring work, provides sufficient foundation for the supervision of subsequent environment.
Description
Technical field
The present invention relates to data processing field more particularly to a kind of determination methods for accumulating Spring layer.
Background technique
With the rapid development of every industry, a large amount of harmful substances are produced, such as flue dust, sulfur dioxide, nitrogen oxides, one
Carbonoxide, hydrocarbon etc..These harmful substances are continuously discharged into atmosphere, when its content is more than that environment can be held
After the limit received, natural physics, chemistry and the ecological balance will be destroyed, forms atmosphere pollution, endangers people's lives, work
And health.With the appearance of national wide range of haze weather, this noun of PM2.5 enters the public visual field.PM2.5 refers to environment sky
Aerodynamics equivalent diameter is less than or equal to 2.5 microns of particulate matter in gas.It can be suspended in the air the long period, in sky
Content concn is higher in gas, and it is more serious just to represent air pollution.
With the fast development of economic society, environmental problem becomes one of the significant obstacle sexual factor for hindering social development,
Resolve the environmental problem problem in the urgent need to address as various countries.
One of the important foundation for resolving environmental problem seeks to accurately grasp Environmental Status, including there are which is specific
Environmental problem etc., and environmental monitoring work is the key that solve environmental problem, understand Environmental Status in time, environment among these
The accuracy of monitoring data just becomes the emphasis and key link of environmental monitoring work.
Environmental monitoring data is basis and environmental management, law enforcement, statistics, the letter for formulating environment environmental protection policy and measure
The foundation of breath publication and the examination of environmental objective accountability.Therefore, for environmental protection work whether the quality of environment measuring data
Make that there is positive meaning.
Air monitoring refers to the type and its concentration of pollutant in measurement atmospheric environment, observes its spatial and temporal distributions and change
The process of law.The purpose of air monitoring is the polluter in identification atmosphere, grasps its distribution and Diffusion Law,
Monitor the discharge and control situation of the source of atmospheric pollution.Since monitoring regional scope is big, manpower and material resources are limited, give air monitoring
Bring difficulty.
Therefore, monitoring region can be divided, and the region after division is monitored, to determine that pollutant is super
Target area.But in the prior art, usually monitoring region is divided, according to administrative unit for example, by certain city
The area A and B zoning are divided into a region, after obtaining the pollutant concentration superscalar data in the two regions, are considered as the area A and the area B
Pollutant concentration is exceeded.But it is this divide there is unreasonable, for example, the area A is meagrely-populated, the area B population is various, such
Determine as a result, and do not meet the actual conditions in the area A and the area B, and just show that the area A and the area B are exceeded region by once monitoring, obtain
The result that arrives is simultaneously inaccurate.
Summary of the invention
The purpose of the embodiment of the present invention is that in view of the deficiencies in the prior art, providing a kind of determination for accumulating Spring layer
Method.
To solve the above problems, in a first aspect, the present invention provides it is a kind of accumulate Spring layer determination method, the accumulation
The determination method of Spring layer includes:
It obtains in the first duration, the number of each grid and the first pollution object concentration data of each grid in first area；
According to the first pollution object concentration data, the first grid collection is got from the grid of the first area；Its
In, the first grid collection includes the first quantity grid；
Calculate separately the first pollution object concentration data and preset first of each grid in the first quantity grid
First concentration difference of pollutant concentration threshold value；
It repeats the above steps, until obtaining in the n-th duration, the n-th dirt of the number of each grid and each grid in first area
Contaminate object concentration data；Wherein, n is the integer greater than 1；
According to the n-th pollutant concentration data, the n-th grid collection is got from the grid of the first area；Wherein,
The n-th grid collection includes the n-th quantity grid；
Calculate separately the n-th pollutant concentration data and preset n-th pollution of each grid in the n-th quantity grid
N-th concentration difference of object concentration threshold；
According to the number of the first quantity grid until the number of the n-th quantity grid, determines target gridding
Collection；
According to first duration until n-th duration, the first concentration difference are until the n-th concentration difference,
Determine that the target gridding concentrates the mean value of the pollutant concentration of each grid；
According to default rule, weighted value is set for each grid that the target gridding is concentrated；
The mean value and its weighted value that the pollutant concentration of each grid is concentrated according to target gridding calculate target gridding and concentrate respectively
The score of grid, obtains score information；
According to the score information, high level grid is determined；Wherein, the region where the high level grid is accumulation high level
Area.
In one possible implementation, in the first duration of the acquisition, the number of each grid and each in first area
The first pollution object concentration data of grid, specifically includes:
First area is divided, each grid number in first area is obtained；
Receive the of first part's grid that the gridding monitoring device in first part's grid in first area is sent
One pollutant concentration data；Wherein, each grid in the first area includes first part's grid and second part grid；
According to the first pollution object concentration data of first part's grid, the second part grid in first area is obtained
First pollution object concentration data；
By grid each in first area number, the first pollution object concentration data of first part's grid and described
The first pollution object concentration data of second part grid is associated, and obtains the number of each grid and its first dirt in first area
Contaminate object concentration data.
In one possible implementation, described according to the first pollution object concentration data, from the first area
Grid in get the first grid collection and specifically include:
The first pollution object concentration data of grid each in first area and preset concentration threshold are compared；
The grid that the first pollution object concentration data is greater than preset concentration threshold is determined as original first grid collection；
Wherein, the original first grid collection includes original first quantity grid；
Each grid concentrated to original first grid is ranked up according to its first pollution object concentration data；
According to ranking results, the first grid collection is obtained；Wherein, the first grid collection includes the first quantity grid, institute
The first quantity is stated no more than original first quantity.
In one possible implementation, described according to default rule, each grid concentrated for the target gridding
Weighted value is set, is specifically included:
Obtain the location information of the built-up areas in first area and the location information of non-built-up areas；
Obtain the location information that target gridding concentrates each grid；
The location information of the built-up areas, the location information of the non-built-up areas and the target gridding are concentrated into each grid
Location information matched；
According to matching result, weighted value is set for each grid that the target gridding is concentrated.
In one possible implementation, described according to the score information, determine that high level grid specifically includes:
According to the sequence of the score information, arranged from the high to low each grid concentrated to the target gridding
Name；
Determine that grid of the ranking before default ranking is high level grid.
In one possible implementation, described according to the score information, determine that high level grid specifically includes:
The score information and preset score threshold are compared；
The grid for determining that score information is greater than preset score threshold is high level grid.
In one possible implementation, after the method further include:
Grade classification is carried out to the high level grid.
Second aspect, the present invention provides a kind of equipment, including memory and processor, the memory is for storing journey
Sequence, the processor are used to execute any method of first aspect.
The third aspect, the present invention provides a kind of computer program products comprising instruction, when the computer program produces
When product are run on computers, so that the computer executes any method of first aspect.
Fourth aspect, the present invention provides a kind of computer readable storage medium, on the computer readable storage medium
It is stored with computer program, the method as described in first aspect is any is realized when the computer program is executed by processor.
Determination method by application accumulation Spring layer provided in an embodiment of the present invention includes: to obtain in the first duration, the
The number of each grid and the first pollution object concentration data of each grid in one region；According to the first pollution object concentration data,
The first grid collection is got from the grid of the first area；Wherein, the first grid collection includes the first quantity grid；
First pollution object concentration data and the preset first pollution object for calculating separately each grid in the first quantity grid are dense
Spend the first concentration difference of threshold value；Repeat the above steps, until obtain the n-th duration in, in first area the number of each grid and
N-th pollutant concentration data of each grid；Wherein, n is the integer greater than 1；According to the n-th pollutant concentration data, from institute
It states and gets the n-th grid collection in the grid of first area；Wherein, the n-th grid collection includes the n-th quantity grid；It counts respectively
Calculate each grid in the n-th quantity grid the n-th pollutant concentration data and preset n-th pollutant concentration threshold value
N concentration difference；According to the number of the first quantity grid until the number of the n-th quantity grid, determines target network
Lattice collection；According to first duration until n-th duration, the first concentration difference are until the n-th concentration difference, determines
The target gridding concentrates the mean value of the pollutant concentration of each grid；According to default rule, concentrated for the target gridding
Weighted value is arranged in each grid；The mean value and its weighted value that the pollutant concentration of each grid is concentrated according to target gridding, calculate target
Grid concentrates the score of each grid, obtains score information；According to the score information, high level grid is determined；Wherein, the high level
Region where grid is accumulation Spring layer.It can fast and accurately determine accumulation Spring layer, and fully consider that the mankind are living
Whether frequently the dynamic influence to accumulation Spring layer, improve the validity of determining accumulation Spring layer, and improves entire environment
The accuracy and validity of monitoring.
Detailed description of the invention
Fig. 1 is the determination method flow schematic diagram for the accumulation Spring layer that the embodiment of the present invention one provides.
Specific embodiment
The application is described in further detail with reference to the accompanying drawings and examples.It is understood that this place is retouched
The specific embodiment stated is used only for explaining related invention, rather than the restriction to the invention.It also should be noted that for just
Part relevant to related invention is illustrated only in description, attached drawing.
It should be noted that in the absence of conflict, the features in the embodiments and the embodiments of the present application can phase
Mutually combination.The application is described in detail below with reference to the accompanying drawings and in conjunction with the embodiments.
For the ease of being preferably illustrated to method involved in the application, " Spring layer " is said first below
It is bright.
To achieve the purpose that Regional Atmospheric Pollution prevents and treats fine-grained management, according to different monitoring demand and environmental characteristic by mesh
Mark region is divided into different grids and carries out point arrangement, carries out real-time monitoring, referred to as net to concentration contaminants associated in each grid
It formats monitoring.The emphasis Polluted area that urban grid supervision is divided is known as " hot spot grid ".Highdensity gridding
Monitoring network Reasonable Arrangement types of functionality monitoring site, the air quality for being able to reflect emphasis Polluted area should become in region
Change, meets the needs of regional environment air monitoring, objectively evaluate the air quality of emphasis Polluted area.
Pollutant distribution situation can be assessed, in conjunction with resource and warp according to the diffusion of local pollutant, migration and transformation rule
The feasibility of Ji determines reasonable monitoring site, keeps data obtained representative.
In the reasonable monitoring site of the determination, gridding monitoring device can be set.Gridding monitoring device, which refers to, adopts
The detection method of scattering is used up, small in size, light-weight, the equipment for pollutant situation in automatic monitor for continuously surrounding air.
In a website, generally there is a standard monitoring device (alternatively referred to as state's control equipment or saving control equipment), at this
In a certain range of website, at least 3 gridding monitoring devices can be installed, each of this 3 gridding monitoring devices, all
Referred to as Quality Control equipment, and each Quality Control equipment is a Quality Control point.
Outside the Quality Control point, gridding monitoring device can also be equipped in multiple points.By a bigger region
After being divided into grid, which can also be divided into multiple sub-grids, which can also be divided into multiple small sub-grids, with
Improve the precision of pollutant monitoring.
In one-shot measurement, the pollutant concentration of grid be above standard value or more than setting numerical value when, can should
Grid is known as Spring layer.
It is understood that the concept of grid is opposite.For example, the city X can be divided into 36 grids, but by this 36
Each grid dividing in a grid is 36 small grids.Then grid involved in the application, can be 36 grids,
Be also possible to 36 small grids, as specifically any, it should be determined in practical applications, the application to this not
It limits.
First, second hereinafter and n-th, it is only for distinguish, have no physical meaning.
Fig. 1 is the determination method flow schematic diagram for the accumulation Spring layer that the embodiment of the present invention one provides.The application of this method
Scene is gridding monitoring network, and the executing subject of this method can be the equipment with computing function, for example, computer, hand
Machine perhaps accumulates Spring layer, and locking equipment can be with grid really for the computer such as locking equipment, mobile phone or accumulation Spring layer really
Change monitoring device to be connected, which can carry out by way of wirelessly or non-wirelessly communicating, and the application does not limit this.Such as
Shown in Fig. 1, method includes the following steps:
Step 101, it obtains in the first duration, the number of each grid and the first pollution object concentration of each grid in first area
Data.
Specifically, gridding monitoring device is launched to after fixed (being referred to as preset) point, gridding prison
Measurement equipment can obtain the pollutant concentration data of the point in real time, which may include the type of pollutant
With the concentration values of pollutant under the type.At this point, " real-time " can be set in gridding monitoring device, it can basis
Need, set, example and it is non-limiting, can be set to get within one minute 60 pollutant concentration data, in one minute
The data got are more, and the pollutant concentration data of subsequent first point are more accurate.
In order to be determined to accumulation Spring layer, it can according to need, take the pollutant measured in certain time length dense
The mean value of degree evidence, as the corresponding pollutant concentration data of the duration.
If getting 60 pollutant concentration data with one minute to be calculated, one hour pollutant concentration got
Data are 3600, the mean value of this 3600 pollutant concentration data can be taken, as first pollution object concentration data.As a result,
Not only manpower financial capacity's resource had been saved, but also has improved the accuracy of pollutant concentration data.
Wherein it is possible to as needed, the first duration be arranged, and first area is divided into a certain number of grids, show
Example and it is non-limiting, the first duration can be set to 1 hour, can by the first grid dividing be 10*10 grid.
Specifically, step 101 can be divided into following two example again.
In an example it is assumed that being both provided with gridding monitoring device in each grid, then first area is drawn
Point, after obtaining each grid number in first area, the gridding monitoring device received in each grid in first area is sent
First pollution object concentration data；Each grid number in first area is associated with first pollution object concentration data, is obtained
The number of each grid and its first pollution object concentration data into first area.
In another example, it is assumed that it include two parts grid in grid, i.e. first part's grid and second part grid,
It is provided with gridding monitoring device in first part's grid, gridding monitoring device is not provided in second part grid.Firstly,
First area is divided, each grid number in first area is obtained；Then, first part's net in first area is received
The first pollution object concentration data for first part's grid that gridding monitoring device in lattice is sent；Then, according to first part
The first pollution object concentration data of grid obtains the first pollution object concentration data of the second part grid in first area；Most
Afterwards, by grid each in first area number, the first pollution object concentration data of first part's grid and second part grid the
One pollutant concentration data are associated, and obtain the number of each grid and its first pollution object concentration data in first area.
Wherein it is possible to carry out interpolation by the first pollution object concentration data to first part's grid, first area is obtained
In second part grid first pollution object concentration data.
Example and it is non-limiting, pollutant can be fine particle (PM2.5), pellet (PM10), nitrogen dioxide
(Nitrogen dioxide, NO2), sulfur dioxide (Sulfur dioxide, SO2), carbon monoxide (Carbon monoxide,
CO), ozone (Ozone, O3) and total volatile organic compounds (Total Volatile Organic Compounds, TVOC)
In any one.
It is understood that pollutant can be any combination of above-mentioned pollutant in subsequent research, can pass through
Normalization method handles the unit of different pollutants, normalized pollutant concentration data is obtained as a result, to normalized
After pollutant concentration data carry out comprehensive descision, determine whether grid is high level grid.
Step 102, according to first pollution object concentration data, the first grid collection is got from the grid of first area；Its
In, the first grid collection includes the first quantity grid.
Specifically, it is specific to get the first grid collection from the grid of first area according to first pollution object concentration data
Include:
Firstly, the first pollution object concentration data of grid each in first area and preset concentration threshold are compared；
Then, the grid that first pollution object concentration data is greater than preset concentration threshold is determined as original first grid collection；Wherein, former
The first grid collection that begins includes original first quantity grid；Then, to original first grid concentrate each grid according to its first
Pollutant concentration data are ranked up；Finally, obtaining the first grid collection according to ranking results；Wherein, the first grid collection includes the
One quantity grid, the first quantity are not more than original first quantity.
Wherein, concentration threshold, which can according to need, is set, and the application does not limit its specific numerical value.At one
It in example, can be concentrated from original first grid, obtain the grid of sequence top 10 or sequence preceding 15%, constitute the first grid
Collection.
Step 103, the first pollution object concentration data of each grid in the first quantity grid and preset is calculated separately
First concentration difference of first pollution object concentration threshold.
Example and it is non-limiting, can first pollution object concentration by the first moment, from the first area that state's control point obtains
The mean value of data is as first pollution object concentration threshold.
Step 104, step 101 is repeated to 103, until obtain in the n-th duration, the number of each grid and each in first area
N-th pollutant concentration data of grid；Wherein, n is the integer greater than 1.
It wherein, at step 104, further include obtaining in the first duration, the number of each grid and each grid in first area
The second pollutant concentration data；According to the second pollutant concentration data, the second grid is got from the grid of first area
Collection；Wherein, the first grid collection includes the second quantity grid；Calculate separately each grid in the second quantity grid second is dirty
Contaminate the second concentration difference of object concentration data and preset second pollutant concentration threshold value.
Wherein it is possible to control the equal of the second pollutant concentration data of the first area that point obtains from state in the second moment
Value is used as the second pollutant concentration threshold value.
It is the Spring layer repeatedly accumulated in order to illustrate accumulation Spring layer, herein, the process of above-mentioned circulation is replaced with n.
It is understood that the value of n is bigger, illustrate that the cumulative frequency of the accumulation Spring layer obtained is more namely this is tired
The numerical value of product Spring layer is more accurate.
Step 105, according to the n-th pollutant concentration data, the n-th grid collection is got from the grid of first area；Wherein,
N-th grid collection includes the n-th quantity grid.
Wherein, the detailed process of the step can refer to step 102, and details are not described herein again.
Step 106, the n-th pollutant concentration data and preset n-th of each grid in the n-th quantity grid are calculated separately
N-th concentration difference of pollutant concentration threshold value.Wherein it is possible to by the n-th moment, from the n-th of the first area that state's control point obtains
The mean value of pollutant concentration data is as the n-th pollutant concentration threshold value.
Step 107, according to the number of the first quantity grid until the number of the n-th quantity grid, determines target gridding
Collection.
Wherein it is possible to the union until the number of the n-th quantity grid be numbered with the first quantity grid, as target
Grid collection.
Step 108, according to the first duration until the n-th duration, the first concentration difference are until the n-th concentration difference, determines target
Grid concentrates the mean value of the pollutant concentration of each grid.
Specifically, can determine that target gridding concentrates the pollutant concentration of each grid by the method in following example
Mean value.
In one example, firstly, determining that target gridding concentrates the first concentration difference of each grid until the n-th concentration difference
First and value；Then, it is determined that second and value of first duration up to the n-th duration；Finally, calculating first and being worth and second and value
Quotient, obtain the mean value that target gridding concentrates the pollutant concentration of each grid.Thus, it is possible to quickly calculate target gridding
The mean value for concentrating the pollutant concentration of each grid improves the speed of data processing.
In another example, firstly, the first weighted value is arranged for the first duration, until the n-th weight is arranged for the n-th duration
Value；Then, it is determined that the product of the first weighted value and the first concentration difference, obtains the first product, until determining the n-th weighted value and the
The product of n concentration difference, obtains the n-th product；Finally, calculate the first product until the n-th product and value, obtain target gridding collection
In each grid pollutant concentration mean value.Pass through the calculated mean value of method of weighted average as a result, calculated mean value is more
Add accurately, substantially increases data processing precision.
Step 109, according to default rule, weighted value is set for each grid that target gridding is concentrated.
Specifically, step 109 includes the following steps:
Obtain the location information of the built-up areas in first area and the location information of non-built-up areas；
Obtain the location information that target gridding concentrates each grid；
By the location information of built-up areas, the location information of non-built-up areas and target gridding concentrate the location information of each grid into
Row matching；
According to matching result, weighted value is set for each grid that target gridding is concentrated.
Wherein, example and non-limiting, default rule, can be whether grid is in built-up areas.Built-up areas refer to city's administration
The non-agricultural production and construction location that soil and practical development within the scope of area by requisition get up, it includes that company is concentrated in urban district
The part of piece and it is dispersed in suburb nearby and city there are close ties, the city with substantially perfect public utility is built
If land used (such as airport, marshaling yard, sewage treatment plant, communication radio station).It can be collected, be sentenced according to the basic data of early period
The location information of disconnected built-up areas and the location information of non-built-up areas, the location information of built-up areas includes the longitude and latitude degree of built-up areas
According to, the quantity of the longitude and latitude data of built-up areas is related with the shape of built-up areas, when built-up areas are rectangular, the longitude and latitude of built-up areas
Degree is according to including upper left longitude and latitude, lower-left longitude and latitude, upper right longitude and latitude and bottom right longitude and latitude, when built-up areas are irregular square
When, the longitude and latitude data of built-up areas further include the longitude and latitude that each is irregularly put on the basis of above.The position of non-built-up areas
Confidence breath includes the longitude and latitude data of non-built-up areas, the composition of the longitude and latitude data of the longitude and latitude data and built-up areas of non-built-up areas
Mode is similar, and details are not described herein again.
When first area is divided into grid, each grid has its location information, which is longitude and latitude degree
According to, for example, a grid may include five longitude and latitude data, i.e. upper left longitude and latitude, upper right longitude and latitude, lower-left longitude and latitude, the right side
Lower longitude and latitude and intermediate longitude and latitude.
It can be carried out according to the longitude and latitude data of the longitude and latitude data of built-up areas, the longitude and latitude data of non-built-up areas and grid
Matching, according to matching result, judges that grid is in built-up areas, is in non-built-up areas.When grid and built-up areas successful match
When, when illustrating that grid is in built-up areas, when grid and non-built-up areas successful match, illustrate that grid is in non-built-up areas, or
Alternatively when grid and built-up areas mismatch, illustrate that grid is in non-built-up areas.Due to built-up areas, human lives are frequent, make
A possibility that at Spring layer, is larger, therefore the weighted value being arranged is in non-built-up areas Shi Yao great compared to grid.
Step 110, the mean value and its weighted value that the pollutant concentration of each grid is concentrated according to target gridding, calculate target network
Lattice concentrate the score of each grid, obtain score information.
Wherein it is possible to concentrate the mean value of the pollutant concentration of each grid to be multiplied with its weighted value target gridding, it is somebody's turn to do
The score of grid.
Step 111, according to score information, high level grid is determined；Wherein, the region where high level grid is accumulation high level
Area.
It in one example, can be according to the sequence of score information, from the high to low each net concentrated to target gridding
Lattice carry out ranking；Determine that grid of the ranking before default noun is high level grid.For example, default noun is the 5th, then arrange
The grid of entitled 1-4 is all high level grid, i.e. accumulation Spring layer.
In another example, score information and preset score threshold can be compared；Determine that score information is big
In preset score threshold grid be high level grid.For example, preset score threshold is 60, then score is greater than 60 grid,
All it is high level grid, that is, accumulates Spring layer.
Further, after step 111, method further include: grade classification is carried out to high level grid.
Wherein, when there are at least two high level grids, grade classification can be carried out to high level grid.Example rather than limit
It is fixed, for the high level grid determined according to ranking, the grid to rank the first can be determined as significant Spring layer, will be number two
Grid be determined as medium Spring layer, will be number three and the 4th grid be determined as general Spring layer.
It, can fast and accurately really as a result, by the determination method of application accumulation Spring layer provided in an embodiment of the present invention
Accumulation Spring layer is made, and has fully considered the mankind's activity whether frequently influence to accumulation Spring layer, is improved determining tired
The validity of product Spring layer, and the accuracy and validity of entire environmental monitoring work are improved, it is mentioned for the supervision of subsequent environment
Sufficient foundation is supplied.
Below with reference to specific example, by taking pollutant is PM2.5 as an example, to the determination side of the accumulation Spring layer in the application
Method is specifically described.
A zoning is divided into 10*10 grid by the first step, and the grid after division is as shown in table 1.
| 1 | 11 | 21 | 31 | 41 | 51 | 61 | 71 | 81 | 91 |
| 2 | 12 | 22 | 32 | 42 | 52 | 62 | 72 | 82 | 92 |
| 3 | 13 | 23 | 33 | 43 | 53 | 63 | 73 | 83 | 93 |
| 4 | 14 | 24 | 34 | 44 | 54 | 64 | 74 | 84 | 94 |
| 5 | 15 | 25 | 35 | 45 | 55 | 65 | 75 | 85 | 95 |
| 6 | 16 | 26 | 36 | 46 | 56 | 66 | 76 | 86 | 96 |
| 7 | 17 | 27 | 37 | 47 | 57 | 67 | 77 | 87 | 97 |
| 8 | 18 | 28 | 38 | 48 | 58 | 68 | 78 | 88 | 98 |
| 9 | 19 | 29 | 39 | 49 | 59 | 69 | 79 | 89 | 99 |
| 10 | 20 | 30 | 40 | 50 | 60 | 70 | 80 | 90 | 100 |
Table 1
Second step, the pollutant concentration data for obtaining grid.
If all there is monitoring site (site setting has gridding monitoring device), the pollution of the grid in all grids
Object concentration data is the data that gridding monitoring device monitors.
If second part grid is interior to be not present monitoring site, then by first there are monitoring site in first part's grid
The pollutant concentration data of subnetting lattice, interpolation obtain the pollutant concentration data in second part grid.As shown in table 2 and table 3,
Table 2 is the pollutant concentration data before interpolation, and table 3 is the pollutant concentration data after interpolation.
Table 2
| 75 | 60 | 58 | 28 | 30 | 40 | 38 | 32 | 27 | 19 |
| 64 | 57 | 53 | 30 | 35 | 37 | 39 | 28 | 23 | 28 |
| 19 | 30 | 48 | 40 | 51 | 55 | 65 | 40 | 34 | 32 |
| 15 | 20 | 35 | 67 | 60 | 51 | 43 | 44 | 23 | 12 |
| 20 | 23 | 52 | 55 | 67 | 68 | 72 | 52 | 41 | 20 |
| 25 | 30 | 54 | 75 | 74 | 51 | 41 | 64 | 15 | 48 |
| 21 | 64 | 19 | 24 | 26 | 25 | 30 | 35 | 61 | 36 |
| 30 | 25 | 28 | 13 | 14 | 17 | 19 | 34 | 41 | 40 |
| 28 | 80 | 54 | 30 | 55 | 76 | 14 | 24 | 80 | 68 |
| 40 | 50 | 49 | 20 | 47 | 65 | 10 | 32 | 73 | 74 |
Table 3
Third step, the 1st hour, the grid ranking of progress to pollutant concentration data higher than 35 μ g/m, preceding 15%
Grid is denoted as a high level, meanwhile, mean concentration (can also be in the same time for the pollutant concentration data for calculating high level grid and the area A
Referred to as first pollution object concentration threshold) the first concentration difference DELTA c1。
Pollutant concentration data are higher than 35 μ g/m3Grid total 53, preceding 15% small grid is 8 total, this time domain
Mean concentration is 41 μ g/m3, the high level gridding information at the moment see the table below shown in 4.
Table 4
4th step, the 2nd hour are higher than 35 μ g/m to pollutant concentration data3Grid carries out a ranking, preceding 15% net
Lattice are denoted as a high level, and mean concentration (is referred to as second to the pollutant concentration data of calculating high level grid in the same time with the area A
Pollutant concentration threshold value) the second concentration difference DELTA c2；
Pollutant concentration data are higher than 35 μ g/m3Grid total 58, preceding 15% small grid is 9 total, this time domain
Mean concentration is 44 μ g/m3, the high level gridding information at the moment is as shown in table 5.
Table 5
5th step seeks super periphery mean value concentration: Δ c=(Δ c1+ Δ c2++ Δ ci+···+Δcn)/k,
In, k is grid high level number, Δ cnFor the n-th concentration difference at the n-th moment.
The pollutant concentration mean value of each grid acquired is as shown in table 6.
| Grid number | 1 | 19 | 36 | 46 | 59 | 65 | 89 | 90 | 100 |
| Δc1/μg·m-3 | 34 | 39 | 34 | 33 | 35 | -- | 39 | 32 | 33 |
| Δc2/μg·m-3 | 31 | 41 | 35 | 34 | 37 | 33 | 40 | 30 | 35 |
| Δc/μg·m-3 | 32.5 | 40 | 34.5 | 33.5 | 36 | 33 | 39.5 | 31 | 34 |
| Height row duration/h | 2 | 2 | 2 | 2 | 2 | 1 | 2 | 2 | 2 |
Table 6
6th step, setting built-up areas weight are w1, non-built-up areas weight is w2(w1>w2).Example and it is non-limiting, with w1It is 1,
w2It is illustrated for being 0.8.Table 7 is the weighted value of grid setting.
| Grid number | 1 | 19 | 36 | 46 | 59 | 65 | 89 | 90 | 100 |
| Δc1/μg·m-3 | 34 | 39 | 34 | 33 | 35 | -- | 39 | 32 | 33 |
| Δc2/μg·m-3 | 31 | 41 | 35 | 34 | 37 | 33 | 40 | 30 | 35 |
| Δc/μg·m-3 | 32.5 | 40 | 34.5 | 33.5 | 36 | 33 | 39.5 | 31 | 34 |
| Height row duration/h | 2 | 2 | 2 | 2 | 2 | 1 | 2 | 2 | 2 |
| It whether is built-up areas | It is no | It is no | It is | It is | It is | It is | It is no | It is no | It is no |
| w | 0.8 | 0.8 | 1 | 1 | 1 | 1 | 0.8 | 0.8 | 0.8 |
Table 7
7th step, according to formula score=T × Δ c × w, give a mark to grid, the score of obtained each grid and row
Name is as shown in table 8, wherein T is Spring layer duration.
| Grid number | 1 | 19 | 36 | 46 | 59 | 65 | 89 | 90 | 100 |
| Δc1/μg·m-3 | 34 | 39 | 34 | 33 | 35 | -- | 39 | 32 | 33 |
| Δc2/μg·m-3 | 31 | 41 | 35 | 34 | 37 | 33 | 40 | 30 | 35 |
| Δc/μg·m-3 | 32.5 | 40 | 34.5 | 33.5 | 36 | 33 | 39.5 | 31 | 34 |
| Height row duration/h | 2 | 2 | 2 | 2 | 2 | 1 | 2 | 2 | 2 |
| It whether is built-up areas | It is no | It is no | It is | It is | It is | It is | It is no | It is no | It is no |
| w | 0.8 | 0.8 | 1 | 1 | 1 | 1 | 0.8 | 0.8 | 0.8 |
| Score | 52 | 64 | 69 | 67 | 72 | 33 | 63.2 | 49.6 | 54.4 |
| Ranking | 7 | 4 | 2 | 3 | 1 | 9 | 5 | 8 | 6 |
Table 8
8th step carries out ranking according to score, it is possible to determine that 15% grid is significant Spring layer, ranking before ranking
The grid of 16%-30% is medium Spring layer, and ranking 31%-45% grid is general Spring layer.Numbering the grid for being 59 is
Significant Spring layer, the grid that number is 36 are medium Spring layer, and the grid that number is 19 and 46 is general Spring layer.It is real as a result,
Show the grade classification to Spring layer, convenient for taking different counter-measures according to its grade, improves subsequent processing effect
Rate.
Second embodiment of the present invention provides a kind of equipment, including memory and processor, memory is deposited for storing program
Reservoir can be connect by bus with processor.Memory can be nonvolatile storage, such as hard disk drive and flash memory, storage
Software program and device driver are stored in device.Software program is able to carry out the above method of the offer of the embodiment of the present invention one
Various functions；Device driver can be network and interface drive program.Processor is for executing software program, the software
Program is performed, the method that can be realized the offer of the embodiment of the present invention one.
The embodiment of the present invention three provides a kind of computer program product comprising instruction, when computer program product is being counted
When being run on calculation machine, so that computer executes the method that the embodiment of the present invention one provides.
The embodiment of the present invention four provides a kind of computer readable storage medium, is stored on computer readable storage medium
Computer program realizes the method that the embodiment of the present invention one provides when computer program is executed by processor.
Professional should further appreciate that, described in conjunction with the examples disclosed in the embodiments of the present disclosure
Unit and algorithm steps, can be realized with electronic hardware, computer software, or a combination of the two, hard in order to clearly demonstrate
The interchangeability of part and software generally describes each exemplary composition and step according to function in the above description.
These functions are implemented in hardware or software actually, the specific application and design constraint depending on technical solution.
Professional technician can use different methods to achieve the described function each specific application, but this realization
It should not be considered as beyond the scope of the present invention.
The step of method described in conjunction with the examples disclosed in this document or algorithm, can be executed with hardware, processor
The combination of software module or the two is implemented.Software module can be placed in random access memory (RAM), memory, read-only memory
(ROM), electrically programmable ROM, electrically erasable ROM, register, hard disk, moveable magnetic disc, CD-ROM or technical field
In any other form of storage medium well known to interior.
Above specific embodiment has carried out further in detail the purpose of the present invention, technical scheme and beneficial effects
Illustrate, it should be understood that the above is only a specific embodiment of the invention, the protection model that is not intended to limit the present invention
It encloses, all within the spirits and principles of the present invention, any modification, equivalent substitution, improvement and etc. done should be included in the present invention
Protection scope within.
Claims (10)
1. it is a kind of accumulate Spring layer determination method, which is characterized in that it is described accumulation Spring layer determination method include:
It obtains in the first duration, the number of each grid and the first pollution object concentration data of each grid in first area；
According to the first pollution object concentration data, the first grid collection is got from the grid of the first area；Wherein, institute
Stating the first grid collection includes the first quantity grid；
Calculate separately the first pollution object concentration data and preset first pollution of each grid in the first quantity grid
First concentration difference of object concentration threshold；
It repeats the above steps, until obtaining in the n-th duration, the number of each grid and the n-th pollutant of each grid in first area
Concentration data；Wherein, n is the integer greater than 1；
According to the n-th pollutant concentration data, the n-th grid collection is got from the grid of the first area；Wherein, described
N-th grid collection includes the n-th quantity grid；
The n-th pollutant concentration data and preset n-th pollutant for calculating separately each grid in the n-th quantity grid are dense
Spend the n-th concentration difference of threshold value；
According to the number of the first quantity grid until the number of the n-th quantity grid, determines target gridding collection；
According to first duration until n-th duration, the first concentration difference are until the n-th concentration difference, determines
The target gridding concentrates the mean value of the pollutant concentration of each grid；
According to default rule, weighted value is set for each grid that the target gridding is concentrated；
The mean value and its weighted value that the pollutant concentration of each grid is concentrated according to target gridding calculate target gridding and concentrate each grid
Score, obtain score information；
According to the score information, high level grid is determined；Wherein, the region where the high level grid is accumulation Spring layer.
2. the determination method of accumulation Spring layer according to claim 1, which is characterized in that in the first duration of the acquisition,
The number of each grid and the first pollution object concentration data of each grid in first area, specifically include:
First area is divided, each grid number in first area is obtained；
Receive first part's grid that the gridding monitoring device in first part's grid in first area is sent first is dirty
Contaminate object concentration data；Wherein, each grid in the first area includes first part's grid and second part grid；
According to the first pollution object concentration data of first part's grid, the of the second part grid in first area is obtained
One pollutant concentration data；
By grid each in first area number, the first pollution object concentration data of first part's grid and described second
The first pollution object concentration data of Partial Mesh is associated, and obtains the number of each grid and its first pollution object in first area
Concentration data.
3. the determination method of accumulation Spring layer according to claim 1, which is characterized in that described according to the first pollution
Object concentration data gets the first grid collection from the grid of the first area and specifically includes:
The first pollution object concentration data of grid each in first area and preset concentration threshold are compared；
The grid that the first pollution object concentration data is greater than preset concentration threshold is determined as original first grid collection；Its
In, the original first grid collection includes original first quantity grid；
Each grid concentrated to original first grid is ranked up according to its first pollution object concentration data；
According to ranking results, the first grid collection is obtained；Wherein, the first grid collection includes the first quantity grid, and described the
One quantity is not more than original first quantity.
4. the determination method of accumulation Spring layer according to claim 1, which is characterized in that it is described according to default rule,
Weighted value is set for each grid that the target gridding is concentrated, is specifically included:
Obtain the location information of the built-up areas in first area and the location information of non-built-up areas；
Obtain the location information that target gridding concentrates each grid；
The location information of the built-up areas, the location information of the non-built-up areas and the target gridding are concentrated to the position of each grid
Confidence breath is matched；
According to matching result, weighted value is set for each grid that the target gridding is concentrated.
5. the determination method of accumulation Spring layer according to claim 1, which is characterized in that described to be believed according to the score
Breath, determines that high level grid specifically includes:
According to the sequence of the score information, ranking is carried out from the high to low each grid concentrated to the target gridding；
Determine that grid of the ranking before default ranking is high level grid.
6. the determination method of accumulation Spring layer according to claim 1, which is characterized in that described to be believed according to the score
Breath, determines that high level grid specifically includes:
The score information and preset score threshold are compared；
The grid for determining that score information is greater than preset score threshold is high level grid.
7. the determination method of accumulation Spring layer according to claim 1, which is characterized in that after the method further include:
Grade classification is carried out to the high level grid.
8. a kind of equipment, including memory and processor, which is characterized in that the memory is for storing program, the processing
Device is for executing method as claimed in claim 1.
9. a kind of computer program product comprising instruction, which is characterized in that when the computer program product on computers
When operation, so that the computer executes such as method as claimed in any one of claims 1 to 7.
10. a kind of computer readable storage medium, which is characterized in that be stored with computer on the computer readable storage medium
Program realizes such as method as claimed in any one of claims 1 to 7 when the computer program is executed by processor.
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