CN104408094A - Method for rapidly generating real-time environment monitoring special topic picture based on user location - Google Patents

Method for rapidly generating real-time environment monitoring special topic picture based on user location Download PDF

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Publication number
CN104408094A
CN104408094A CN201410648109.6A CN201410648109A CN104408094A CN 104408094 A CN104408094 A CN 104408094A CN 201410648109 A CN201410648109 A CN 201410648109A CN 104408094 A CN104408094 A CN 104408094A
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picture
graticule mesh
data
server
time
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CN104408094B (en
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王学志
赵江华
黎建辉
周园春
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Computer Network Information Center of CAS
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    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/50—Information retrieval; Database structures therefor; File system structures therefor of still image data
    • G06F16/58—Retrieval characterised by using metadata, e.g. metadata not derived from the content or metadata generated manually
    • G06F16/5866—Retrieval characterised by using metadata, e.g. metadata not derived from the content or metadata generated manually using information manually generated, e.g. tags, keywords, comments, manually generated location and time information

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  • Theoretical Computer Science (AREA)
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Abstract

The invention discloses a method for rapidly generating a real-time environment monitoring special topic picture based on a user location. The method comprises the following steps: (1) a server performs spatial interpolation on environment monitoring data to obtain a raster map layer, and generates a PNG (Portable Network Graphic) grid picture according to the raster map layer; (2) a client sends an environment inquiry request, and the server generates a rectangular coordinate range of a request region according to the request; (3) the server inquires all PNG grid pictures of the request region from a grid picture database according to time information in the request, the type of the special topic picture and the rectangular coordinate range, performs splicing, cuts by using the rectangular range to obtain an environment monitoring special topic picture, and returns the environment monitoring special topic picture to the client for displaying. By adopting the method, a user can conveniently and rapidly know a surrounding environmental condition from a space-time location.

Description

A kind of real time environment based on customer location monitors thematic picture rapid generation
Technical field
The present invention provides real time environment Monitoring Data special topic picture Rapid Generation Techniques based on customer position information, be specifically related to a kind of positional information according to customer mobile terminal, the method for the environmental quality monitoring thematic map information around its current location in certain area coverage is provided to user in the mode of visual picture.
Background technology
Environmental problem is day by day serious, the air pollution especially in city, noise pollution, becomes one of the most serious environmental problem, is directly connected to the health of people.Make the public obtain context dependant information, not only contribute to the public and be familiar with the environmental aspect of living, also help and improve its environmental consciousness.And have inherent spatial vision ability, so map becomes the visual principal mode of public's science data due to people.On the basis of gradient map, add thematic data, the map representing this thematic a certain attribute distribution situation spatially is intuitively thematic map.Environment thematic map can the real-time geographic visualization result of show surroundings Monitoring Data, not only be easy to popular understand, have visual attraction, also effective help people tackle information overabundance, the pollution situation obtaining living environment efficiently directly perceived, has great using value.
Position-based service (location based service, be called for short LBS) be the geographic position first being determined the mobile terminal that user holds by location technology, then utilize wireless communication technique and GIS technology the information service relevant to this position to be supplied to the mobile terminal of user.Location Based service can be divided into two classes: a class based on user inquiry and service is provided; Another kind of is to the direct Push Service of user, as marketing message.LBS comprises location technology, development of Mobile Internet technology and geographical information technology.Existing mobile positioning technique has a lot, and most popular have GPS location, network positions and co-located technology.Mobile Transmission technology has GPRS, CDMA, WCDMA, TDS-CDMA, WIFI, WIMAX, communication technology of satellite etc.Geographical information technology is then carry out analyzing for spatial data, process, make the function such as thematic map and issue.Along with the fast development of Android and IOS Mobile operating system, LBS is also more and more extensive in the application of all trades and professions.
Under prior art condition, location-based real time environment quality monitoring service, such as air pollution regulations, temperature, precipitation etc., monitoring actual value or the analogue value at volume coordinate point place are only provided to user, or the ensemble average value in this region, this form with numerical value is presented to user and not easily makes user understand true environment quality around current geographic position.
Summary of the invention
For prior art Problems existing, the object of the invention is to propose a kind of time based on customer mobile terminal and positional information, realize the quick generating pictures of real time environment Monitoring Data thematic map within the scope of the arbitrary geographic band of position and return to user, there is provided the real time environment quality monitoring information based on space time information to user, make user can understand the method for the ambient conditions of surrounding quickly and easily from space-time position.
Step of the present invention comprises:
1) data prediction environment timing acquisition real time environment Monitoring Data, is saved in real time environment monitor database by environmental monitoring data and space time information thereof and stores;
2) Cokriging spatial interpolation methods is adopted, by step 1) the background raster data such as the various Real-time Monitoring Data with space time information and landform, temperature, the magnitude of traffic flow that obtains carries out space interpolation and obtains raster map layer, is saved in space-time grid data storehouse;
3) by step 2) raster map layer that interpolation obtains, arrange Color scheme, then chi generates the PNG graticule mesh picture of 256x256 pixel in GIS software according to a certain percentage, and space time information is saved in graticule mesh picture database together with graticule mesh picture;
4) user is when asking, and uses mobile terminal device to position, and coordinate position, distance range, temporal information and thematic map type etc. are uploaded to WEB server as request input parameter;
5) after WEB server receives request, centered by coordinate points, the distance range that user specifies is that unit calculates, and generates the rectangular coordinates scope in request region;
6) server is according to step 4) temporal information, thematic map type and the step 5 submitted to) the rectangular coordinates scope that generates, with step 3) the graticule mesh picture data message that generates carries out space-time and intersects inquiry and obtain all PNG graticule mesh pictures that user asks region;
7) by step 6) user that obtains asks the PNG graticule mesh picture in region to splice, and by step 5) rectangular extent carry out cutting out and obtain user and ask required environmental monitoring special topic picture, after picture marks legend and temporal information etc., turn back to subscription client with http protocol and show.
Compared with prior art, good effect of the present invention is:
The present invention proposes a kind of time based on customer mobile terminal and positional information, realize the quick generating pictures of real time environment Monitoring Data thematic map within the scope of the arbitrary geographic band of position and return to user, providing the real time environment quality monitoring information based on space time information to user.
On actualizing technology, WEB service environment is used to be separated with data prediction environment, by calculation task complicated, consuming time to the acquisition of real time environment Monitoring Data, space-time grid data interpolation, the generation of space-time grid graticule mesh picture etc. at backstage asynchronous execution.WEB service program only performs space-time graticule mesh picture query and task is cut out in picture splicing, reduce the computational load amount of server, quick response user, to the request of real time environment Monitoring Data special topic picture, makes user can quickly and easily from the ambient conditions around the understanding space-time position.
Accompanying drawing explanation
Accompanying drawing is the quick product process figure monitoring thematic picture based on the real time environment of customer location.
Embodiment
2 data service environments are related to: data prediction environment and WEB service environment in the present invention, wherein data prediction environment realizes: Real-time Monitoring Data timing acquisition and storage, Real-time Monitoring Data space interpolation, Real-Time Monitoring raster data graticule mesh picture generates, the steps such as Real-time Monitoring Data graticule mesh picture space-time storage; WEB service environment is responsible for receiving client-side service request, and analysis request parameter carries out rectangular extent calculating, and Real-time Monitoring Data graticule mesh picture space-time intersects retrieval, and picture splices functions such as cutting out.
Below in conjunction with accompanying drawing and atmosphere pollution data instance, the present invention is described in further detail:
Data prediction environment
The first step, Real-time Monitoring Data timing acquisition and storage: use Python to write data and crawl service routine, timing in every 20 minutes crawls protoatmosphere pollutant monitoring data from atmosphere environment supervision website, internet, Python regular expression re module is used to resolve, extract monitoring time information (dateh), monitoring point latitude and longitude coordinates (x, y), monitoring point title (city), monitoring point numbering (name), monitoring index value (SO 2, O 3, NO x, CO, PM2.5, PM10) etc., data assemblies is become json formatted data, be stored in mongodb database.
Json data layout is:
{
"_id":ObjectId("52cb6af9af56137081000000"),
"co":"2.3",
"no2":"74",
"so2":"59",
"o3":"7",
"pm10":"101",
"pm25":"147",
"x":"116.417",
"y":"39.929",
"dateh":"2014010710",
"city":"beijing",
" city0 ": " Beijing ",
" name ": " east four "
}
Second step, Real-time Monitoring Data space interpolation: after the data of monitoring websites all in the first step have crawled, all Real-time Monitoring Datas of up-to-date insertion are extracted from mongodb database, such as all data of monitoring time dateh=" 2014010710 ", remove the exception record without numerical value.
Because the coordinate of Real-time Monitoring Data is longitude and latitude geographic coordinate, need geographic coordinate system to be converted to plane projection coordinate system, regional adopts Albers coordinate system.Python+OGR software package is utilized to carry out coordinate projection conversion.After projection transform completes, utilize geoR module and constrainedKriging module in the R statistical software that increases income, adopt Cokriging spatial interpolation methods, respectively to each monitoring index value (SO 2, O 3, NO xcO, PM2.5, PM10) and the background raster data such as landform, temperature, magnitude of traffic flow carry out space interpolation, after interpolation, the resolution of raster data depends on actual range, interpolation and monitoring point distribution situation etc., and adjust according to actual conditions, we adopt 90m resolution to carry out interpolation to each monitoring index value and obtain raster data.
3rd step, Real-Time Monitoring raster data graticule mesh picture generate:
We are to step 2) interpolation after raster data carry out the generation of graticule mesh picture, the engineer's scale of graticule mesh picture is according to the resolution of raster data, and coverage etc. are selected; We select 1:25 ten thousand engineer's scale to utilize Python+GDAL software package to carry out the generation of PNG graticule mesh picture.Graticule mesh picture computation process is as follows:
In existing Geographic Information System environment, 1 inch equals 0.254 meter, equals 96 pixels;
Actual raster resolution corresponding to 1:25 ten thousand engineer's scale is 250000* (0.254/96)=66.15 meter;
Total graticule mesh picture quantity computation method of whole interpolation raster data is as follows, and wherein right, left, top, bottom are the spatial dimension of raster data, and unit is rice:
X-axis pixel count is: X=round (abs (right – left)/66.15)
Y-axis pixel count is: Y=round (abs (top – bottom)/66.15)
Under 1:25 ten thousand engineer's scale, the total quantity of the graticule mesh picture of whole interpolation raster data is:
T＝round(X/256)*round(Y/256)
Arbitrary grid picture T i,jthe spatial dimension minX of (X>i>=0, Y>j>=0) corresponding raster data i, minY j, maxX i, maxY jcomputing formula be:
MinX i=left+ (256*66.15) * i, wherein X>i>=0
MaxX i=left+ (256*66.15) * (i+1), wherein X>i>=0
MinY j=bottom+ (256*66.15) * j, wherein Y>j>=0
MaxY j=bottom+ (256*66.15) * (j+1), wherein Y>j>=0
After graticule mesh picture has generated, picture and metadata information are stored into graticule mesh picture database, wherein picture metadata information comprises: Monitoring Data type and acquisition time, the scope right of raster data, left, top, bottom, graticule mesh offset index i and j, and width and height of graticule mesh.
WEB server environment
4th step, client parameter collection are submitted to: on the mobile terminal device, and request distance (m) that the longitude and latitude form coordinate position obtained by GPS automatic positioning die block, current time, user are arranged, thematic map type are (as PM 2.5, O 3deng) etc. solicited message be encoded to XML format parameter and be submitted to server by HTTP request.
5th step, client Parameter analysis of electrochemical calculate:
After server receives the XML parameter that client submits to, first analyzing XML data, obtain correlation parameter, utilized by the coordinate position of longitude and latitude form Python+OGR software package to carry out coordinate Px that coordinate projection is converted to Albers coordinate system, y.The distance range W (unit rice) this coordinate points and user specified carries out calculating formation rectangular extent minX, minY, maxX, a maxY, and its computing formula is:
minX＝P x–W
maxX＝P x+W
minY＝P y–W
maxY＝P y+W
Then rectangular extent minX, minY, maxX, maxY (unit rice) are converted to graticule mesh offset index scope, specific formula for calculation is:
tileX min＝round((minX-left)/256)
tileX max＝round((maxX-left)/256)
tileY min＝round((minY-left)/256)
tileY max＝round((maxY-left)/256)
6th step, section time-space attribute intersect inquiry:
Utilizing step 5) user that calculates asks corresponding to rectangular extent graticule mesh offset index scope (tileX min, tileY min, tileX max, tileY max), the time, thematic map type and step 3) the graticule mesh picture database that stores carries out that space-time is crossing to be inquired about.The offset index of graticule mesh is positioned at the graticule mesh offset index scope that user asks scope, then meet space intersection condition.
7th step, thematic map section splicing is cut out;
Utilize step 6) inquire about the graticule mesh image data obtained, utilize the PIL image procossing storehouse of Python carry out image paste splicing and after cutting out, save as the image data of PNG form, by WEB server, return to client with http response request and show.

Claims (7)

1. the real time environment based on customer location monitors a thematic picture rapid generation, the steps include:
1) server timing acquisition real time environment Monitoring Data, is saved in real time environment monitor database by environmental monitoring data and space time information thereof;
2) space interpolation is carried out to environmental monitoring data and obtain raster map layer, be saved in space-time grid data storehouse;
3) arrange Color scheme to described raster map layer, then chi generates PNG graticule mesh picture in GIS software according to a certain percentage, and space time information is saved in graticule mesh picture database together with graticule mesh picture;
4) subscription client sends environment inquiry request to server, and described environment inquiry request comprises the coordinate position of subscription client, distance range, time and thematic map type;
5) after server receives this environment inquiry request, centered by coordinate position, the distance range of specifying is that unit calculates, and generates the rectangular coordinates scope in request region;
6) temporal information, thematic map type and the described rectangular coordinates scope of server environmentally in inquiry request, from described graticule mesh picture database, inquiry obtains all PNG graticule mesh pictures of asking region;
7) the PNG graticule mesh picture of server to request region splices, and is undertaken cutting out by described rectangular extent and obtain an environmental monitoring special topic picture and turn back to subscription client and show.
2. the method for claim 1, it is characterized in that described generation PNG graticule mesh picture, method space time information being saved in together with graticule mesh picture graticule mesh picture database is:
21) according to spatial dimension and the engineer's scale of the raster data arranged, the graticule mesh picture total quantity of whole interpolation raster data is calculated;
22) each graticule mesh picture T is calculated i,jthe spatial dimension of corresponding raster data, cuts raster data;
23) after graticule mesh picture has generated, picture and metadata information are stored into graticule mesh picture database, and wherein picture metadata information comprises: Monitoring Data type and acquisition time, the scope of raster data, graticule mesh offset index i and j, graticule mesh wide and high.
3. method as claimed in claim 2, it is characterized in that, the graticule mesh offset index scope of described server corresponding to request region, time, thematic map type are carried out space-time to described graticule mesh picture database and are intersected inquiry, obtain all PNG graticule mesh pictures of asking region.
4. method as claimed in claim 2, is characterized in that, described server adopts Cokriging spatial interpolation methods, carries out space interpolation obtain raster map layer to environmental monitoring data.
5. the method as described in claim 1 or 2 or 3, is characterized in that, described server, in the environmental monitoring special topic picture subscript note legend returned and temporal information, then turns back to subscription client with http protocol and shows.
6. the method as described in claim 1 or 2 or 3, it is characterized in that, described server timing crawls protoatmosphere pollutant monitoring data from atmosphere environment supervision website, internet, uses Python regular expression re module to resolve, extracts monitoring time information, monitoring point latitude and longitude coordinates, monitoring point title, monitoring point is numbered, various monitoring index value, then data assemblies is become json formatted data, be stored in mongodb database.
7. the method as described in claim 1 or 2 or 3, is characterized in that, environment inquiry request information coding is that XML format parameter is submitted to server by HTTP request by described subscription client.
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CN110302672A (en) * 2019-06-06 2019-10-08 重庆工商大学融智学院 A kind of distribution tuning method of Urban eco-space
CN110910480A (en) * 2019-09-29 2020-03-24 谢国宇 Environment monitoring image rendering method based on color mode mapping relation
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CN115599880A (en) * 2022-11-29 2023-01-13 福建慧政通信息科技有限公司（Cn） Map legend configuration management method and terminal

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