CN116431752A - GIS data quality inspection and warehousing method oriented to distributed storage - Google Patents
GIS data quality inspection and warehousing method oriented to distributed storage Download PDFInfo
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Abstract
The invention discloses a GIS data quality inspection and warehousing method for distributed storage, which comprises the steps of uploading formatted GIS data to a distributed storage library; constructing a resource sharing service module; a resource sharing service module; judging whether the formatted GIS data is successfully uploaded; performing quality inspection and warehousing processing on the formatted GIS data by utilizing a resource sharing service module; judging whether all the unprocessed formatted GIS data in the data warehouse entry check list are processed. The invention has the advantages that: the quality inspection and the warehousing of the data are realized by dispatching the distributed storage library data and constructing the resource sharing service module, each type of data corresponds to one data source, each layer corresponds to one data set, the quality inspection speed is high, the warehousing processing efficiency is high, the adding, deleting and modifying operations of the data sources, the data sets and the field information can be realized, and the management and the maintenance of the data resources are realized.
Description
Technical Field
The invention relates to the technical field of quality inspection and warehousing of mapping geographic data, in particular to a GIS data quality inspection and warehousing method oriented to distributed storage.
Background
The mapping geographic information is used as an important alert for environment guarantee capability, has the characteristics of wide coverage range, high data precision requirement and the like, and the current mapping units widely apply high and new technologies such as satellite positioning, remote sensing measurement, digital maps, geographic information systems and the like, so that the mapping overall level and the mapping guarantee capability are remarkably improved. The basic information body of the environment guarantee is still space, time and perception, but the form, content and product form of the environment guarantee are greatly beyond the previous requirements on the accuracy, diversity and real-time of the environment guarantee. GIS (survey and drawing geography) data quality inspection and warehousing serve as core functions, are necessary conditions for promoting implementation of overall targets such as planning database construction and the like, are not uniform enough in data resource scheduling, cannot be distributed as required and can be dynamically adjusted, so that the data quality inspection and warehousing process flow is long, the speed is low, the efficiency is low, the data adding, deleting and modifying operations are complex in the processing process, and the use threshold of users is increased. Therefore, a GIS data quality inspection and warehousing method for distributed storage is provided for the problems.
Disclosure of Invention
The invention aims to solve the problems and provide a GIS data quality inspection and warehousing method for distributed storage.
The invention realizes the aim through the following technical scheme, and the GIS data quality inspection and warehousing method for distributed storage comprises the following specific steps:
converting the format of GIS data to be inspected and put in storage, and uploading the formatted GIS data to a distributed storage library;
step two, constructing a resource sharing service module according to the uploaded GIS data with different sources, the unified standard and a certain quality inspection warehousing rule;
step three, the resource sharing service module provides OGC standard service for accessing GIS middleware for the part related to the graph in the GIS space database;
judging whether the formatted GIS data is successfully uploaded, if so, recording the generated formatted GIS data into a data warehouse entry check list, setting the processing state of the processor as unprocessed, and entering a step five, otherwise, repeating the step four after the formatted GIS data is trimmed;
step five, the object processed by the distributed computing platform is unprocessed formatted GIS data, and according to the quality inspection type corresponding to the formatted GIS data, the OGC standard service is called to execute a corresponding resource sharing service module, and then the quality inspection and the warehousing processing are carried out on the formatted GIS data by utilizing the resource sharing service module;
and step six, judging whether all the unprocessed formatted GIS data in the data warehouse entry check list are processed, if yes, finishing the quality check and warehouse entry processing of the formatted GIS data, otherwise, returning to the step five until all the unprocessed formatted GIS data are processed.
Preferably, the second step specifically includes:
and carrying out one-to-one mapping combination on the uploaded formatted GIS data, the corresponding unified standard and a certain quality inspection warehousing rule through a neural network model, and constructing a resource sharing service module by a plurality of combination units to complete the construction of the resource sharing service module, wherein one combination unit corresponds to one resource sharing service unit.
Preferably, the third step specifically includes:
and releasing the constructed resource sharing service module as a request service supporting PaaS and SaaS by using a cloud resource management platform, packaging the service into a standard micro service by adopting a hybrid storage frame, and registering the standard micro service to a micro service registration center, so that the resource sharing service module is integrated into an OGC standard service supporting the GIS middleware access to the part related to the graphics in a GIS space database.
Preferably, the information of the data warehouse entry check table in the fourth step includes: the GIS data quality inspection method comprises the steps of user name, GIS data address, GIS data uploading time, GIS data processing type, GIS data processing state, GIS data quality inspection starting time, GIS data quality inspection ending time, GIS data quality inspection result, GIS data warehousing starting time, GIS data warehousing ending time and GIS data warehousing result.
Preferably, the GIS data processing type is used for a resource sharing service template generated according to quality inspection and warehousing rules corresponding to GIS data.
Preferably, the GIS data processing state includes: and the GIS data is not processed, the GIS data is being processed and the GIS data quality inspection fails.
Preferably, in the fifth step, the quality inspection and the warehousing processing are performed on the data by using a resource sharing service module, which specifically includes:
s1, issuing a GIS data demand task for obtaining quality inspection and warehousing to a data warehousing check list, wherein the cloud resource management platform is in a processing state;
s2, automatically caching GIS data from a distributed storage library to a local temporary directory of a server where an execution resource sharing service module is located according to GIS data file information in a data storage check list;
s3, performing quality inspection on the cache data packet by using a resource sharing service template matched with the resource sharing service module, judging whether the cache data passes the quality inspection, if so, entering a step S4, otherwise, entering a step S6;
s4, recording quality inspection results in a data warehouse-in inspection table, updating the data packet processing state, and carrying out warehouse-in processing on the cached data packet by utilizing a resource sharing service template according to OGC standard service;
s5, judging whether the warehousing processing is finished, if so, recording warehousing information, and entering a step S7, otherwise, recording warehousing error information, and entering the step S7;
s6, recording quality inspection error information into a data warehouse entry check list, updating the GIS data processing state, and entering a step S7;
and S7, deleting the cache GIS data, and ending executing the resource sharing service template.
The beneficial effects of the invention are as follows: the quality inspection and the warehousing of the data are realized by dispatching the distributed storage library data and constructing the resource sharing service module, each type of data corresponds to one data source, each layer corresponds to one data set, the quality inspection speed is high, the warehousing processing efficiency is high, the adding, deleting and modifying operations of the data sources, the data sets and the field information can be realized, and the management and the maintenance of the data resources are realized.
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In order to more clearly illustrate the embodiments of the invention or the technical solutions of the prior art, the drawings which are used in the description of the embodiments or the prior art will be briefly described, it being obvious that the drawings in the description below are only some embodiments of the invention, and that other drawings can be obtained from these drawings without inventive faculty for a person skilled in the art.
Fig. 1 is a flowchart of a GIS data quality inspection and warehousing method according to the present invention.
Detailed Description
In order to make the objects, features and advantages of the present invention more comprehensible, the technical solutions in the embodiments of the present invention are described in detail below with reference to the accompanying drawings, and it is apparent that the embodiments described below are only some embodiments of the present invention, but not all embodiments of the present invention. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
The technical scheme of the invention is further described below by the specific embodiments with reference to the accompanying drawings.
In the description of the present invention, it should be understood that the directions or positional relationships indicated by the terms "upper", "lower", "top", "bottom", "inner", "outer", etc. are based on the directions or positional relationships shown in the drawings, are merely for convenience of describing the present invention and simplifying the description, and do not indicate or imply that the devices or elements referred to must have a specific orientation, be constructed and operated in a specific orientation, and thus should not be construed as limiting the present invention.
Referring to fig. 1, a GIS data quality inspection and storage method for distributed storage specifically includes the steps of:
converting the format of GIS data to be inspected and put in storage, and uploading the formatted GIS data to a distributed storage library;
step two, constructing a resource sharing service module according to the uploaded GIS data with different sources, the unified standard and a certain quality inspection warehousing rule;
step three, the resource sharing service module provides OGC standard service for accessing GIS middleware for the part related to the graph in the GIS space database;
judging whether the formatted GIS data is successfully uploaded, if so, recording the generated formatted GIS data into a data warehouse entry check list, setting the processing state of the processor as unprocessed, and entering a step five, otherwise, repeating the step four after the formatted GIS data is trimmed;
step five, the object processed by the distributed computing platform is unprocessed formatted GIS data, and according to the quality inspection type corresponding to the formatted GIS data, the OGC standard service is called to execute a corresponding resource sharing service module, and then the quality inspection and the warehousing processing are carried out on the formatted GIS data by utilizing the resource sharing service module;
and step six, judging whether all the unprocessed formatted GIS data in the data warehouse entry check list are processed, if yes, finishing the quality check and warehouse entry processing of the formatted GIS data, otherwise, returning to the step five until all the unprocessed formatted GIS data are processed.
Further, the second step specifically comprises:
and carrying out one-to-one mapping combination on the uploaded formatted GIS data, the corresponding unified standard and a certain quality inspection warehousing rule through a neural network model, and constructing a resource sharing service module by a plurality of combination units to complete the construction of the resource sharing service module, wherein one combination unit corresponds to one resource sharing service unit.
Further, the third step specifically comprises:
and releasing the constructed resource sharing service module as a request service supporting PaaS and SaaS by using a cloud resource management platform, packaging the service into a standard micro service by adopting a hybrid storage frame, and registering the standard micro service to a micro service registration center, so that the resource sharing service module is integrated into an OGC standard service supporting the GIS middleware access to the part related to the graphics in a GIS space database.
Further, the information of the data warehouse entry check table in the fourth step includes: the GIS data quality inspection method comprises the steps of user name, GIS data address, GIS data uploading time, GIS data processing type, GIS data processing state, GIS data quality inspection starting time, GIS data quality inspection ending time, GIS data quality inspection result, GIS data warehousing starting time, GIS data warehousing ending time and GIS data warehousing result.
Further, the GIS data processing type is used for generating a resource sharing service template according to quality inspection and warehousing rules corresponding to the GIS data.
Further, the GIS data processing state includes: and the GIS data is not processed, the GIS data is being processed and the GIS data quality inspection fails.
Further, in the fifth step, the quality inspection and the warehouse entry processing are performed on the data by using a resource sharing service module, which specifically comprises the following steps:
s1, issuing a GIS data demand task for obtaining quality inspection and warehousing to a data warehousing check list, wherein the cloud resource management platform is in a processing state;
s2, automatically caching GIS data from a distributed storage library to a local temporary directory of a server where an execution resource sharing service module is located according to GIS data file information in a data storage check list;
s3, performing quality inspection on the cache data packet by using a resource sharing service template matched with the resource sharing service module, judging whether the cache data passes the quality inspection, if so, entering a step S4, otherwise, entering a step S6;
s4, recording quality inspection results in a data warehouse-in inspection table, updating the data packet processing state, and carrying out warehouse-in processing on the cached data packet by utilizing a resource sharing service template according to OGC standard service;
s5, judging whether the warehousing processing is finished, if so, recording warehousing information, and entering a step S7, otherwise, recording warehousing error information, and entering the step S7;
s6, recording quality inspection error information into a data warehouse entry check list, updating the GIS data processing state, and entering a step S7;
and S7, deleting the cache GIS data, and ending executing the resource sharing service template.
The invention has the advantages that: the quality inspection and the warehousing of the data are realized by dispatching the distributed storage library data and constructing the resource sharing service module, each type of data corresponds to one data source, each layer corresponds to one data set, the quality inspection speed is high, the warehousing processing efficiency is high, the adding, deleting and modifying operations of the data sources, the data sets and the field information can be realized, and the management and the maintenance of the data resources are realized.
It will be evident to those skilled in the art that the invention is not limited to the details of the foregoing illustrative embodiments, and that the present invention may be embodied in other specific forms without departing from the spirit or essential characteristics thereof. The present embodiments are, therefore, to be considered in all respects as illustrative and not restrictive, the scope of the invention being indicated by the appended claims rather than by the foregoing description, and all changes which come within the meaning and range of equivalency of the claims are therefore intended to be embraced therein. Any reference sign in a claim should not be construed as limiting the claim concerned.
The above embodiments are only for illustrating the technical solution of the present invention, and not for limiting the same; although the invention has been described in detail with reference to the foregoing embodiments, it will be understood by those of ordinary skill in the art that: the technical scheme described in the foregoing embodiments can be modified or some technical features thereof can be replaced by equivalents; such modifications and substitutions do not depart from the spirit and scope of the technical solutions of the embodiments of the present invention.
Claims (7)
1. A GIS data quality inspection and warehousing method oriented to distributed storage is characterized in that: the method comprises the following specific steps:
converting the format of GIS data to be inspected and put in storage, and uploading the formatted GIS data to a distributed storage library;
step two, constructing a resource sharing service module according to the uploaded GIS data with different sources, the unified standard and a certain quality inspection warehousing rule;
step three, the resource sharing service module provides OGC standard service for accessing GIS middleware for the part related to the graph in the GIS space database;
judging whether the formatted GIS data is successfully uploaded, if so, recording the generated formatted GIS data into a data warehouse entry check list, setting the processing state of the processor as unprocessed, and entering a step five, otherwise, repeating the step four after the formatted GIS data is trimmed;
step five, the object processed by the distributed computing platform is unprocessed formatted GIS data, and according to the quality inspection type corresponding to the formatted GIS data, the OGC standard service is called to execute a corresponding resource sharing service module, and then the quality inspection and the warehousing processing are carried out on the formatted GIS data by utilizing the resource sharing service module;
and step six, judging whether all the unprocessed formatted GIS data in the data warehouse entry check list are processed, if yes, finishing the quality check and warehouse entry processing of the formatted GIS data, otherwise, returning to the step five until all the unprocessed formatted GIS data are processed.
2. The distributed storage-oriented GIS data quality inspection and warehousing method according to claim 1, wherein the method is characterized in that: the second step is specifically as follows:
and carrying out one-to-one mapping combination on the uploaded formatted GIS data, the corresponding unified standard and a certain quality inspection warehousing rule through a neural network model, and constructing a resource sharing service module by a plurality of combination units to complete the construction of the resource sharing service module, wherein one combination unit corresponds to one resource sharing service unit.
3. The distributed storage-oriented GIS data quality inspection and warehousing method according to claim 1, wherein the method is characterized in that: the third step is specifically as follows:
and releasing the constructed resource sharing service module as a request service supporting PaaS and SaaS by using a cloud resource management platform, packaging the service into a standard micro service by adopting a hybrid storage frame, and registering the standard micro service to a micro service registration center, so that the resource sharing service module is integrated into an OGC standard service supporting the GIS middleware access to the part related to the graphics in a GIS space database.
4. The distributed storage-oriented GIS data quality inspection and warehousing method according to claim 1, wherein the method is characterized in that: the information of the data warehouse entry check list in the fourth step comprises: the GIS data quality inspection method comprises the steps of user name, GIS data address, GIS data uploading time, GIS data processing type, GIS data processing state, GIS data quality inspection starting time, GIS data quality inspection ending time, GIS data quality inspection result, GIS data warehousing starting time, GIS data warehousing ending time and GIS data warehousing result.
5. The distributed storage-oriented GIS data quality inspection and warehousing method according to claim 4, wherein the method is characterized in that: the GIS data processing type is used for resource sharing service templates generated according to quality inspection and warehousing rules corresponding to the GIS data.
6. The distributed storage-oriented GIS data quality inspection and warehousing method according to claim 4, wherein the method is characterized in that: the GIS data processing state comprises: and the GIS data is not processed, the GIS data is being processed and the GIS data quality inspection fails.
7. The distributed storage-oriented GIS data quality inspection and warehousing method according to claim 1, wherein the method is characterized in that: in the fifth step, the quality inspection and the warehouse entry processing are carried out on the data by utilizing a resource sharing service module, which comprises the following steps:
s1, issuing a GIS data demand task for obtaining quality inspection and warehousing to a data warehousing check list, wherein the cloud resource management platform is in a processing state;
s2, automatically caching GIS data from a distributed storage library to a local temporary directory of a server where an execution resource sharing service module is located according to GIS data file information in a data storage check list;
s3, performing quality inspection on the cache data packet by using a resource sharing service template matched with the resource sharing service module, judging whether the cache data passes the quality inspection, if so, entering a step S4, otherwise, entering a step S6;
s4, recording quality inspection results in a data warehouse-in inspection table, updating the data packet processing state, and carrying out warehouse-in processing on the cached data packet by utilizing a resource sharing service template according to OGC standard service;
s5, judging whether the warehousing processing is finished, if so, recording warehousing information, and entering a step S7, otherwise, recording warehousing error information, and entering the step S7;
s6, recording quality inspection error information into a data warehouse entry check list, updating the GIS data processing state, and entering a step S7;
and S7, deleting the cache GIS data, and ending executing the resource sharing service template.
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Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
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| CN116628123A (en) * | 2023-07-19 | 2023-08-22 | 深圳市易图资讯股份有限公司 | Dynamic slice generation method and system based on spatial database |
| CN116644031A (en) * | 2023-07-27 | 2023-08-25 | 北京联创高科信息技术有限公司 | Method and system for unified standardization of coal mine water damage data in different formats |
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2023
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Cited By (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN116628123A (en) * | 2023-07-19 | 2023-08-22 | 深圳市易图资讯股份有限公司 | Dynamic slice generation method and system based on spatial database |
| CN116628123B (en) * | 2023-07-19 | 2023-12-12 | 深圳市易图资讯股份有限公司 | Dynamic slice generation method and system based on spatial database |
| CN116644031A (en) * | 2023-07-27 | 2023-08-25 | 北京联创高科信息技术有限公司 | Method and system for unified standardization of coal mine water damage data in different formats |
| CN116644031B (en) * | 2023-07-27 | 2023-10-13 | 北京联创高科信息技术有限公司 | Method and system for unified standardization of coal mine water damage data in different formats |
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