CN109840249A - A kind of processing of basin library bank deformation monitoring data and integrated approach - Google Patents

A kind of processing of basin library bank deformation monitoring data and integrated approach Download PDF

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Publication number
CN109840249A
CN109840249A CN201910043127.4A CN201910043127A CN109840249A CN 109840249 A CN109840249 A CN 109840249A CN 201910043127 A CN201910043127 A CN 201910043127A CN 109840249 A CN109840249 A CN 109840249A
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data
deformation
monitoring
monitoring data
monitoring point
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CN109840249B (en
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周伟
程翔
潘斌
周志伟
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Wuhan University WHU
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Wuhan University WHU
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Abstract

The invention discloses a kind of processing of basin library bank deformation monitoring data and integrated approaches, are related to a kind of method of data processing, the push of integrated and information of multi-platform InSAR data.It includes that each platform InSAR data finishing analysis is integrated into the KML formatted file comprising numerous monitoring points;Based on ArcSDE Spatial Data Engine technology, pass through the access of SQL Server database realizing monitoring data, analysis work;Paged data library technology is used later, realizes dynamic dispatching and the real-time rendering of magnanimity three-dimensional InSAR monitoring data;Finally, by using a variety of data processing methods, it is for statistical analysis to deformation monitoring data, realize picture and text bidirectional inquiry.The present invention is realized dynamic dispatching and the real-time rendering of magnanimity InSAR monitoring data, is greatly improved user experience, can intuitively understand the deformation of basin reservoir stability through a variety of ways using technologies such as paged data library, asynchronous loads.

Description

A kind of processing of basin library bank deformation monitoring data and integrated approach
Technical field
The invention belongs to basin reservoir bank slide field, it is related to a kind of basin library bank deformation monitoring data processing and integrated Method, it is specifically a kind of to the data processing for carrying out bank deformation monitoring in basin library using multi-platform InSAR technology and integrated Method.
Background technique
Basin reservoir bank landslide risk has huge potential threat for the construction of hydroelectric project and safe operation, traditional Safety monitoring slope mode cost is high, plant maintenance is difficult, reliability is low and is difficult to obtain side slope " planar " dynamic change letter Breath, the development of the non-direct contact types remote sensing monitoring technology such as InSAR are brought to the development of water conservancy and hydropower library dam Monitoring of Slope Deformation New opportunity.
The InSAR system that bank deformation monitoring in basin library needs different platform to carry is used cooperatively, these systems are each to have by oneself not Same post-processing platform, but general couple degree is lower, it is difficult to realize that information fusion and platform are shared.So there is an urgent need to one kind To the method that multi-platform InSAR monitoring data are handled and integrated,
Summary of the invention
The purpose of the invention is to overcome the shortcoming of background technique, and provide a kind of basin library bank deformation monitoring number According to processing and integrated approach.
To achieve the goals above, the technical solution of the present invention is as follows:
A kind of processing of basin library bank deformation monitoring data and integrated approach, which comprises the following steps:
Step 1: KML file data processing, by the processed InSAR data of basin library bank deformation monitor supervision platform through excessive Analysis arranges, and is integrated into KML file, and the KML file includes the spatial data of monitoring point and the deformation measurement data of different periods, And the deformation of color mark monitoring point is utilized according to monitoring point deformation values;
Step 2: the spatial data of monitoring point and attribute data are put in storage by ArcSDE Spatial Data Engine;
Step 3: realizing the quick load of massive spatial data using paged data library and asynchronous load means;
Step 4: carrying out whole system to the Deformation Monitoring Data situation of change of monitoring point using a variety of data processing methods Meter analysis, and graphically pushed, complete the processing of basin library bank deformation monitoring data.
As an improvement, in step 2, data loading method particularly includes:
First by the crossover tool in the tool box ArcToolBox in ArcGIS software, KML formatted file is converted For shp format, SQL Server database is connected by ArcSDE Spatial Data Engine later, is monitored spatial data a little And the storage work of attribute data.
As an improvement, being carried out after converting shp format for KML formatted file to file coordinate, the attribute data after conversion It arranges, check.
As an improvement, in step 3, specific steps are as follows:
Firstly, from the sum for obtaining monitoring point in desired zone in database, later by cyclical function every time from data M monitoring point is taken out in library, obtains the space attribute informations such as longitude, dimension, the elevation of monitoring point, reservoir stability deformation monitoring The three-dimensional informations such as RGB color, the camera perspective of numerical value, the deformation monitorings information such as amplitude of deformation and monitoring point, are transferred to later Browser carries out three-dimensional indifference rendering to the M monitoring point, after the completion of rendering, then takes out M from database and is not rendered Monitoring point, transfer to browser to carry out three-dimensional indifference rendering, by the above-mentioned means, circuit sequentially, to take out insufficient M a until final Monitoring point, complete whole region library bank deformation monitoring data three-dimensional indifference rendering processing.
As an improvement, in step 4, it is for statistical analysis to deformation monitoring data, and three-dimensional is carried out by step 3 method Indifference rendering carries out two dimension push in real time, realizes picture and text bidirectional inquiry in combination with ArcGIS Engine.
As an improvement, a variety of data processing methods refer in graph, characteristic value and regression analysis in step 4 One or any of several.
As an improvement, carrying out the method that three-dimensional indifference rendering simultaneously and in real time pushes to the deformation monitoring data of monitoring point are as follows:
Shp file is converted by KML file, the RGB color attribute for monitoring point element in shp file is extracted by coding, It is issued later by ArcGIS Engine, realizes three-dimensional indifference rendering and push in real time.
As an improvement, being drawn after carrying out whole statistics to the Deformation Monitoring Data situation of change of monitoring point in step 4 Journey line, the method for drafting of graph are as follows: using time of measuring as horizontal axis, using accumulative displacement amount as vertical pivot, using line symbol, Point symbol draws the relationship of accumulative displacement amount and time of measuring.
As an improvement, in step 4, carrying out whole statistical analysis to the Deformation Monitoring Data situation of change of monitoring point can be with Carry out demand customization, specifically: method for customizing is template, and prefab-form in systems, calls corresponding according to different requirements The displaying of template progress data.
As an improvement, the M value range is 100-400.
Compared with prior art, the present invention its advantages are as follows:
1, the present invention is the basin library bank deformation monitoring data processing being put forward for the first time both at home and abroad and integrated approach, is multi-platform The processing of InSAR data and it is integrated propose a whole set of solution, can to multi-platform InSAR Deformation Monitoring Data into Row is handled and is integrated, and can be shown monitoring data in a manner of 3 D stereo, in the contactless safety monitoring such as InSAR Under the background of technology fast development, the present invention has broad application prospects.
2, the present invention realizes the dynamic dispatching of magnanimity InSAR monitoring data using technologies such as paged data library, asynchronous loads And real-time rendering, greatly improve user experience.
3, the present invention is using a variety of data processing methods, it can be achieved that the 3 D stereo of InSAR monitoring data shows, is three-dimensional real When push and the much informations such as graphic statistics push mode, so that user is intuitively understood basin reservoir stability through a variety of ways Deformation.
Detailed description of the invention
Fig. 1 is bank deformation monitoring data in basin library of the present invention processing and integrated approach flow diagram.
Fig. 2 is space, attribute data storage structural block diagram.
Fig. 3 is the structural block diagram quickly loaded using the optimization methods such as paged data library realization massive spatial data.
Fig. 4 is three-dimensional structural block diagram indifference rendering and pushed in real time.
Specific embodiment
The present invention is illustrated with reference to the accompanying drawing.
A kind of processing of basin library bank deformation monitoring data and integrated approach, include the following steps,
Step 1: KML file data processing
The InSAR data that each platform processes are crossed is arranged by analysis, is integrated into KML file, the KML file includes prison The spatial data of measuring point and the deformation measurement data of different periods, and color mark monitoring point is utilized according to monitoring point deformation values Deformation.
Step 2: converting shp format by ArcSDE Spatial Data Engine for KML formatted file, then passing through ArcSDE Spatial Data Engine connects SQL Server database, is monitored the storage work of spatial data and attribute data a little Make.
The achievement obtained by step 1 can only meet the needs of Deformation Monitoring Data preliminary analysis, it is difficult to meet data pipe The needs of reason, depth analysis, the present invention use ArcSDE Spatial Data Engine technology, pass through SQL Server (relational data Library) realize the management works such as access, the analysis of spatial data.
First by the crossover tool in the tool box ArcToolBox in ArcGIS software, KML formatted file is converted For shp format, and file coordinate, the attribute data after conversion are arranged, checked.Drawn later by ArcSDE spatial data Connection SQL Server database is held up, the storage work of spatial data and attribute data a little is monitored.
Step 3: realizing the quick load of massive spatial data using means such as paged data library, asynchronous loads
Basin reservoir stability monitoring range is wide, and space data quantity is big, increases to the transmission, load and display of three-dimensional scenic Difficulty.The present invention used for reference paged data library, it is asynchronous load etc. technologies, realize mass data dynamic dispatching and real-time wash with watercolours Dye.
Firstly, from the sum for obtaining monitoring point in desired zone in database, later by cyclical function every time from data 200 monitoring points are taken out in library, obtain the space attribute informations such as longitude, dimension, the elevation of monitoring point, reservoir stability deformation monitoring Numerical value, the deformation monitorings information such as amplitude of deformation and the three-dimensional informations such as RGB color, camera perspective of monitoring point, Zhi Houjiao This 200 monitoring points are rendered by browser.After the completion of rendering, then 200 monitoring points not being rendered are taken out from database, It transfers to browser to render, in this way, circuits sequentially, until the final monitoring point taken out less than 200, is completed entire The processing of region library bank deformation monitoring data.In this way, so that the real-time rendering of the dynamically load of data and scene It is synchronous to carry out, the seemingly-dead phenomenon of browser is prevented, user experience is greatly improved.
Step 4: it is for statistical analysis to deformation monitoring data using the methods of graph, characteristic value and regression analysis, And it is pushed in the form of two-dimensional diagram.
The information-pushing method of traditional InSAR deformation measurement data mainly passes through the picture formats such as JPG, basin library bank Monitoring of Slope Deformation system can not only show the result of InSAR deformation monitoring with 3 D stereo mode;It can also be by a variety of Mathematical statistical model, it is for statistical analysis to deformation monitoring data, it is graphically pushed, and combine ArcGIS Engine carries out two dimension push in real time, realizes picture and text bidirectional inquiry.
Preferably, the method for three-dimensional indifference rendering being carried out to the deformation monitoring data of monitoring point and being pushed in real time are as follows: by KML File is converted into shp file, is extracted in shp file by coding and passes through ArcGIS after the RGB color attribute of monitoring point element Engine is issued, and realizes three-dimensional indifference rendering and push in real time.
Preferably, the method for drafting of graph is carried out to the deformation measurement data of monitoring point are as follows: using time of measuring as cross Axis is carried out the relationship of accumulative displacement amount and time of measuring using line symbol, point symbol using accumulative displacement amount as vertical pivot It draws.

Claims (10)

1. a kind of basin library bank deformation monitoring data processing and integrated approach, which comprises the following steps:
Step 1: KML file data processing, whole by analysis by the basin library processed InSAR data of bank deformation monitor supervision platform Reason is integrated into KML file, the deformation measurement data of spatial data of the KML file comprising monitoring point and different periods, and root The deformation of color mark monitoring point is utilized according to monitoring point deformation values;
Step 2: the spatial data of monitoring point and attribute data are put in storage by ArcSDE Spatial Data Engine;
Step 3: realizing the quick load of massive spatial data using paged data library and asynchronous load means;
Step 4: carrying out whole statistical to the Deformation Monitoring Data situation of change of monitoring point using a variety of data processing methods Analysis, and graphically pushed, complete the processing of basin library bank deformation monitoring data.
2. basin library bank deformation monitoring data processing as described in claim 1 and integrated approach, it is characterised in that: step 2 In, data loading method particularly includes:
First by the crossover tool in the tool box ArcToolBox in ArcGIS software, shp is converted by KML formatted file Format connects SQL Server database by ArcSDE Spatial Data Engine later, is monitored spatial data and category a little The storage work of property data.
3. basin library bank deformation monitoring data processing as claimed in claim 2 and integrated approach, it is characterised in that: by KML lattice After formula file is converted into shp format, file coordinate, the attribute data after conversion are arranged, checked.
4. basin library bank deformation monitoring data processing as claimed in claim 2 and integrated approach, it is characterised in that: step 3 In, specific steps are as follows:
Firstly, from the sum for obtaining monitoring point in desired zone in database, later through cyclical function every time from database M monitoring point is taken out, the space attribute informations such as longitude, dimension, the elevation of monitoring point, the number of reservoir stability deformation monitoring are obtained The three-dimensional informations such as RGB color, the camera perspective of the deformation monitorings information such as value, the amplitude of deformation and monitoring point, are transferred to clear later Device of looking at carries out three-dimensional indifference rendering to M monitoring point, after the completion of rendering, then takes out from database M and is not rendered Monitoring point transfers to browser to carry out three-dimensional indifference rendering, by the above-mentioned means, circuiting sequentially, until final take out less than M The three-dimensional indifference rendering processing of whole region library bank deformation monitoring data is completed in monitoring point.
5. basin library bank deformation monitoring data processing as claimed in claim 4 and integrated approach, it is characterised in that: step 4 In, it is for statistical analysis to deformation monitoring data, and three-dimensional indifference rendering is carried out by step 3 method, in combination with ArcGIS Engine carries out two dimension push in real time, realizes picture and text bidirectional inquiry.
6. basin library bank deformation monitoring data processing as claimed in claim 5 and integrated approach, it is characterised in that: step 4 In, a variety of data processing methods refer to graph, one or any of several in characteristic value and regression analysis.
7. basin library bank deformation monitoring data processing as claimed in claim 5 and integrated approach, it is characterised in that: to monitoring point Deformation monitoring data carry out three-dimensional indifference rendering and and the method that pushes in real time are as follows:
Shp file is converted by KML file, the RGB color attribute for monitoring point element in shp file is extracted by coding, later It is issued by ArcGIS Engine, realizes three-dimensional indifference rendering and push in real time.
8. basin library bank deformation monitoring data processing as claimed in claim 6 and integrated approach, it is characterised in that: step 4 In, to drawing process line after the whole statistics of Deformation Monitoring Data situation of change progress of monitoring point, the method for drafting of graph are as follows: It by accumulative displacement amount and is surveyed using accumulative displacement amount as vertical pivot using line symbol, point symbol using time of measuring as horizontal axis The relationship of amount time is drawn.
9. basin library bank deformation monitoring data processing as claimed in claim 6 and integrated approach, it is characterised in that: step 4 In, demand customization can be carried out by carrying out whole statistical analysis to the Deformation Monitoring Data situation of change of monitoring point, specifically: customization Method is template, and prefab-form in systems, the displayings of corresponding template progress data is called according to different requirements.
10. basin library bank deformation monitoring data processing as claimed in claim 4 and integrated approach, it is characterised in that: the M takes Value range is 100-400.
CN201910043127.4A 2019-01-17 2019-01-17 River basin bank deformation monitoring data processing and integrating method Active CN109840249B (en)

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