CN115858713A - Data management method and data management system for agricultural condition geographic information - Google Patents

Data management method and data management system for agricultural condition geographic information Download PDF

Info

Publication number
CN115858713A
CN115858713A CN202310154288.7A CN202310154288A CN115858713A CN 115858713 A CN115858713 A CN 115858713A CN 202310154288 A CN202310154288 A CN 202310154288A CN 115858713 A CN115858713 A CN 115858713A
Authority
CN
China
Prior art keywords
database
geographic
information
scene
agricultural
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Granted
Application number
CN202310154288.7A
Other languages
Chinese (zh)
Other versions
CN115858713B (en
Inventor
章海亮
罗微
周燕
廖少敏
何照亮
王宇
詹白勺
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
East China Jiaotong University
Original Assignee
East China Jiaotong University
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by East China Jiaotong University filed Critical East China Jiaotong University
Priority to CN202310154288.7A priority Critical patent/CN115858713B/en
Publication of CN115858713A publication Critical patent/CN115858713A/en
Application granted granted Critical
Publication of CN115858713B publication Critical patent/CN115858713B/en
Active legal-status Critical Current
Anticipated expiration legal-status Critical

Links

Images

Classifications

    • YGENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y02TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02ATECHNOLOGIES FOR ADAPTATION TO CLIMATE CHANGE
    • Y02A90/00Technologies having an indirect contribution to adaptation to climate change
    • Y02A90/10Information and communication technologies [ICT] supporting adaptation to climate change, e.g. for weather forecasting or climate simulation

Landscapes

  • Management, Administration, Business Operations System, And Electronic Commerce (AREA)
  • Information Retrieval, Db Structures And Fs Structures Therefor (AREA)

Abstract

The invention discloses a data management method and a data management system for agricultural condition geographic information. The method comprises the steps of constructing a main scene of geographic information by acquiring an entity object in first geographic information, constructing a secondary scene of the geographic information by an event object in second geographic information, embedding the secondary scene into the main scene to obtain geographic scene information, and storing the geographic scene information in a first database. And extracting agricultural condition elements to a second database based on the agricultural condition information. The method comprises the steps of realizing the storage and separation of agricultural condition elements and databases of geographic scene information, establishing the connection between a first database and a second database by a database management module based on a hash table, storing the geographic elements of the first database and the agricultural condition elements of the second database through a public buffer area, and calling the agricultural condition elements and the geographic elements by an analysis module through the public buffer area.

Description

Data management method and data management system for agricultural condition geographic information
Technical Field
The invention relates to a database management technology, in particular to a data management method and a data management system for agricultural condition geographic information.
Background
Agricultural monitoring and geographic information acquisition are data sources of a geological analysis platform and are also the most extensive research fields of agriculture and geographic disciplines, and agricultural condition geographic information comprises high integration of agricultural production and planting crop data and geographic environment mapping data. The international open geographic information consortium (OGC) discloses a large number of network space-time data services and processing service standards, so that information of agricultural condition monitoring geospatial data can be interoperated based on an integrated platform. Agricultural situation geographic information needs to be applied by inputting or calling sensor data to obtain agricultural monitoring data, and geographic information data of corresponding areas are obtained in the modes of satellite remote sensing, unmanned aerial vehicle surveying and mapping, manual surveying and mapping and the like.
The effective database management technology is used, and is an important basis for guaranteeing the application of agricultural situation geographic information. In the prior art, CN102968503B discloses a database management method, which improves the operation management efficiency of a database by constructing a virtual partition of the database. CN103714090B discloses a multi-index database transaction method and a database, which proposes a method for utilizing an index to promote the bottom layer operation and working logic of the database. The agricultural condition monitoring data generally has dynamic variability, the corresponding storage database needs to ensure the instant consistency in the independent mode, the geographical mapping data needs to ensure the instant consistency of the geographical mapping data in the independent mode, and the data management method in the prior art is not suitable for the application environment. Therefore, there is a need in the art for further improvements.
Disclosure of Invention
Aiming at the problems, the invention provides a data management method of agricultural condition geographic information. The method is used for effectively configuring the management of two different databases, geographical scene information is stored in a first database, agricultural condition elements are stored in a second database, the geographical elements forming the geographical scene information are used as indexes, the agricultural condition element identifiers are traversed and associated, and the link between the first database and the second database is constructed in a public buffer area. Further, the invention also provides a data management system according to the agricultural condition geographic information data management method.
The invention purpose of the application can be realized by the following technical means:
a data management method of agricultural condition geographic information comprises the following steps:
step 1: inputting the first geographic information into a GIS module, and extracting different entity objects in the first geographic information based on the first characteristics, wherein any entity object comprises at least one geographic element;
step 2: converting the geographic elements into vector geographic data, grouping a plurality of entity objects, and constructing a main scene based on any group of entity objects;
and step 3: the GIS module receives the second geographic information, extracts different event objects in the second geographic information based on the geographic elements, and sets the second geographic information into a plurality of sub-scenes;
and 4, step 4: embedding the secondary scene into the main scene to obtain geographical scene information, storing the geographical scene information into a first database, and generating an index symbol according to the geographical elements;
and 5: the ASD module receives the agricultural condition information, generates a plurality of agricultural condition elements based on the second characteristics, and stores the agricultural condition elements in a second database, wherein any agricultural condition element comprises an identifier;
step 6: the database management module generates a hash table based on the index matching identifier, wherein the hash table comprises a plurality of linked lists for associating the first database with the second database;
and 7: traversing at least one linked list in the database management module, if the agricultural condition elements are linked with the geographical scene information linked list, entering step 8, otherwise, entering step 6;
and 8: storing agricultural condition elements and geographic elements corresponding to the linked list to a public buffer area of a database management module;
and step 9: the database management module opens API authority, and the analysis module calls agricultural condition elements and geographic elements through a public buffer area.
In the invention, the first geographic information is satellite telemetering data with unified elevation datum, and the second geographic information is geographic data obtained by mapping in different agricultural areas based on a GIS technology, and at least comprises a three-dimensional model, an elevation model and a positive shot image.
In the present invention, the geographic element is a geological condition, a topographic condition, or a hydrological condition in the first geographic information.
In the present invention, the agricultural condition factors include soil data, crop data, biological resource data, and disaster data.
In the invention, the main scene is telemetering image data containing geographic elements, the secondary scene is real-scene image data of geographic mapping and exploration, and at least one secondary scene is embedded into the main scene according to the spatial topological relation between scene objects.
In the invention, the spatial topological relation comprises an adjacency relation, an association relation, an inclusion relation and a communication relation between the secondary scenes, between the main scenes and the main scenes, and between the main scenes and the secondary scenes.
In the invention, the geographic elements form a plurality of relationship nodes N i I =1,2,3, \ 8230, n, the second database holds a database table D with agricultural condition elements i I =1,2,3, \8230, n, database table D i For the relation node N i Broadcasting is carried out, and all the relation nodes N are recorded through concurrence i And arranging the hash values in each partition into the hash table according to the sequence of the relationship nodes.
In the invention, in the process of embedding the secondary scene into the main scene, the secondary scene forms a random queue, and if the main scene of any primary scene does not exist in the random queue, the main scene is added into the random queue from the tail of the queue.
A data management system for realizing agricultural condition geographic information data management method comprises a GIS module, an ASD module, a database management module, a first database, a second database and an analysis module,
the GIS module is used for extracting entity objects of different types in the first geographic information and event objects of different types in the second geographic information, obtaining a plurality of sub-scenes based on geographic elements, and obtaining geographic scene information based on the sub-scenes and the geographic father scenes;
the ASD module is used for receiving the agricultural condition information and generating a plurality of agricultural condition elements based on the second characteristics;
the database management module is used for constructing a public buffer area of the first database and the second database, and establishing a linked list containing a unique relationship based on the index symbol of the first database and the identifier of the second database;
the first database is a No SQL graphic database and is used for storing geographic scene information;
the second database is a My SQL database and is used for storing agricultural condition factors;
the analysis module is any terminal equipment with the API authority of the database management module.
The agricultural condition geographic information data management method and the agricultural condition geographic information data management system have the beneficial effects that: the agricultural condition information and the geographic information are respectively extracted and stored in the separate and different databases. Compared with the prior art, the agricultural condition information and geographic information integration method has the advantages that the agricultural condition information and geographic information integration degree is higher, the agricultural condition information can be quickly read in a specific geographic scene, the conflict problem of agricultural condition geographic information cloud database calling is reduced, and the server overhead of the traditional single database for storing the agricultural condition geographic information is effectively reduced. The data cache pressure of the database is smaller, the accuracy and the efficiency of calling the agricultural condition geographic information are effectively improved, and a remote platform or a system can call the agricultural condition geographic information more efficiently.
Drawings
FIG. 1 is a flow chart of a data management method of agricultural condition geographic information of the present invention;
FIG. 2 is a diagram of an example of a format of a standard database of agricultural situation geographic information according to the present invention;
FIG. 3 is a schematic diagram of a tree structure generated by identifiers in agricultural elements in a second database according to the present invention;
FIG. 4 is a schematic diagram illustrating the principle of the present invention in which the geographic elements and agricultural elements are linked by a linked list in the common buffer of the data management module;
fig. 5 is a hardware block diagram of a data management system for implementing the data management method of agricultural condition geographic information according to the present invention.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention.
The geographical scene is a complex formed by aiming at different elements such as water, soil, air, organisms, human activities and the like under different time scales, and the geographical scene information is widely applied to the fields of geographical analysis and agricultural condition monitoring. The agricultural condition geographic information relates to wide geographic elements, a traditional geographic data storage method is generally applied in a layering and classifying mode, geographic data serve as a father table, agricultural condition monitoring data serve as a child table, the database storage mode focuses on the geometric, position, special subject and time attributes of the geographic elements, and geographic scenes relating to the agricultural data cannot be described effectively. In addition, the geographic entities have high spatiality and sampling performance, the geographic data are generally obtained through telemetering data or geographic mapping, the geographic data also have high volume performance and uncertainty, the form of the geographic entities in the database also has unstructured characteristics, and the corresponding topology, the orientation, the distance and the spatial structure have large variability.
According to the method, a Neo4j database in a No SQL database class is selected to store the geographic information, a My SQL database is selected to store the agricultural condition monitoring information, a link between the geographic elements and the agricultural condition elements is constructed, any one scene is ensured to be embedded into a main scene, and any one agricultural condition element is associated with a secondary scene and used for data calling in a related application field. The geographic information stored in the Neo4j database is an entity object, a scene object and an event object, the entity object is divided into three types, the entity object comprises a plurality of geographic elements, the scene object comprises a secondary scene and a primary scene, the event object is a situation that the geographic elements participate in and influence the associated scene, and is an example which changes in a time period, and in the embodiment, the event object is an example result obtained by associating the geographic elements with agricultural elements. In addition, the elements involved in the present invention are data values, and the scene is a telemetrically or mapped image, which is stored in the form of binary stream data.
Example one
Referring to fig. 1, a flowchart of a data management method for geographical agricultural information detailed in this embodiment is shown, and the data management method includes the following steps:
a pretreatment step: selecting an agricultural condition geographic information analysis object area, delimiting a boundary value of the object area, calling telemetering data in the object area based on a USGS satellite group telemetering system to generate first geographic information, and preprocessing the first geographic information. The first geographic information is satellite telemetering data with unified elevation datum, space radar topographic mapping information (SRTM) is obtained based on a USGS satellite group telemetering system, and spectral image data are generated after an elevation datum scale is selected to be 72.260 m.
This pretreatment step is an additional preferred step. By means of data transformation and adjustment, before GIS module processing, consistency processing is completed, processing efficiency of the GIS module can be improved, and operation pressure of the GIS module is reduced. The first geographic information preprocessing method comprises a coordinate system and projection change. And converting the geodetic coordinate system into a space rectangular coordinate system based on the first geographic information acquired by the SRTM as the geodetic coordinate system. The geodetic coordinates of any point are: (R, H, L) and the corresponding spatial rectangular coordinate is (X) 1 ,Y 1 ,Z 1 ),X 1 =(F+L)cosRcosH,Y 1 =(F+L)cosRsinH,Z 1 =[F(1-e 2 )+L]sinR, wherein,
Figure SMS_1
,/>
Figure SMS_2
and a is the length of the major semi-axis of the ellipsoid in the geodetic coordinate system, and b is the length of the minor semi-axis of the ellipsoid in the geodetic coordinate system. The projection transformation is to convert the geographic data on the ellipsoid into the geographic data on the two-dimensional platform, and the ellipsoid coordinate is converted into the geographic data formed by the plane rectangular coordinate based on the Gaussian projection method.
Step 1: and inputting the first geographic information into a GIS module, and extracting entity objects of different categories in the first geographic information based on the first characteristics, wherein any entity object comprises at least one geographic element, and the geographic element refers to geological conditions, topographic conditions and hydrological conditions in the reference geographic information. The first features include geological features, topographic features and hydrological features.
In order to obtain the geographic condition quickly, in this embodiment, after performing gray scale processing on the first geographic information, a geographic feature operator is selected to obtain a geographic element, and the geographic feature operator extracts the gray scale change condition of the first geographic information based on the sum of squares of differences between the sliding window and the original window. Preferably, the size of the sliding window is 3 × 3, 5 × 5, or 8 × 8, and the larger the size of the sliding window, the larger the corresponding calculation amount is, and in this embodiment, the size n of the sliding window is 3 × 3. Value of gray scale change
Figure SMS_3
Wherein i is the number of any pixel in the selected sliding window size n, and x i Is the gray value, y, of the ith pixel point in the original window i Solving the minimum value C of the gray change in any direction for the gray value of the ith pixel point in the sliding window min Setting a threshold T as the criterion for determining the terrain condition, and if C is the threshold min T is less than or equal to T, the point is a terrain with a height less than or equal to the height of the datum level, if C is less than or equal to T min If the height is larger than T and is a local extreme value, the point position is larger than the terrain with the height of the datum plane.
Step 2: and converting the geographic elements into vector geographic data, detecting and grouping the entity objects according to semantic rules, and constructing a main scene by any group of entity objects.
In order to improve the efficiency of storing and reading data, the vector geographic data of the embodiment includes attribute data, a spatial data file, and an index object file. The attribute data file is a dbf file, forms a standard database file and records the basic attribute information of any piece of data; the spatial data file is a shp type file and comprises a database file header, a data recording header and actual data records with a recording sequence. The index object file is a shx file and is used for searching or calling a standard database file in the database. The database file header is composed of data with fixed length, and the data recording sequence starts from a data recording head with 8Kb, and records the basic information of the actual data. Referring to fig. 2, the standard database format of the geographical information of agricultural conditions in this embodiment includes a unique identification code, a spatial data shape, a length size, a width size, and a type identifier.
And step 3: and the GIS module (geographic information system module) receives the second geographic information, extracts different types of event objects in the second geographic information based on geographic elements, and divides the second geographic information into a plurality of sub-scenes, wherein the second geographic information is geographic data obtained by mapping based on GIS technology in different agricultural areas and at least comprises a three-dimensional model, an elevation model and a positive photographic image.
And 4, step 4: the secondary scene is embedded into the primary scene to obtain geographic scene information, the geographic scene information is stored in a first database, and an index symbol is generated based on a geographic element.
In this embodiment, a parent-child inclusion relationship exists between the primary scene and the secondary scene, the primary scene is telemetered image data including geographic elements, the secondary scene is live-action image data of geographic mapping and exploration, and the adjacent relationship, the association relationship, the inclusion relationship and the communication relationship between the secondary scene and the secondary scene, between the primary scene and the primary scene, and between the primary scene and the secondary scene are determined.
In this embodiment, the main scene is a geographical image of a specific category, the sub-scenes corresponding to the main scene are geographical images included in the category corresponding to the main scene, the sub-scenes form a random queue, the sub-scenes are embedded into the main scene, any main scene includes a plurality of sub-scenes, a scene initial queue head is set, and if the main scene of any sub-scene does not exist in the queue, the main scene is added into the random sequence from the tail of the termination queue.
And 5: the ASD module (agricultural condition geographic system module) receives the agricultural condition information, generates a plurality of agricultural condition elements based on the second characteristics, and stores the agricultural condition elements in the second database, wherein any agricultural condition element comprises an identifier. The agricultural condition elements are soil data, crop data, biological resource data and disaster data in the agricultural condition information.
In this embodiment, the second characteristic includes an environmental characteristic, a crop characteristic, and a natural characteristic. The agricultural condition elements obtained through the environmental characteristics comprise biological resource data and soil data, the agricultural condition elements obtained through the crop characteristics are crop data, and the agricultural condition elements obtained through the natural characteristics are disaster data.
In this embodiment, referring to fig. 3, the identifier is a physical number generated on the geographic element, and the physical number of any geographic element is obtained by SQL statement transformation. The 0 × 0011 identifier is a self-balanced binary tree of the crop data, and the corresponding 0 × 0022 and 0 × 0055 identifiers are subclasses of the crop data, corresponding to the crop status index and the normalized crop index in the crop data.
Step 6: the database management module generates a hash table based on the index matching identifier, wherein the hash table comprises at least one linked list connected with the first database and the second database, and the linked list is stored to a new partition in a key value connection mode.
In this embodiment, the geographic elements in the first database form a plurality of relational nodes, denoted as N i I =1,2,3, \ 8230, n, a second database holds a database table with agricultural condition elements, recorded as table D i I =1,2,3, \ 8230;, n. In the database management module, the database table D i For the relation node N i Broadcasting and concurrently recording the relation node N i The hash values are arranged into a hash table according to the relation node sequence.
In this embodiment, the database management module establishes a common buffer area between the first database and the second database, and extracts a connection key recorded in the common buffer area when an external access request is made in the common buffer area, so as to establish a connection between the first database and the second database, thereby obtaining at least one linked list.
And 7: referring to fig. 4, the public buffer area includes a plurality of different partitions, and the geographical elements and the agricultural elements are connected by a linked list. When the database management module traverses at least one linked list, if the linked list information contains a connecting key recorded in a public buffer area, the agricultural condition elements and the geographical scene information linked list are linked, and then the step 8 is carried out; if the linked list information does not contain the link key recorded in the common buffer, step 6 is entered.
And 8: agricultural condition elements and geographic elements corresponding to the linked list are stored in a public buffer area of the database management module.
In this embodiment, the database management module at least constructs 16 database tables D formed by Shard \, which are relatively independent when any agricultural condition element is constructed i Or any relation node N formed by geographic elements i And when the agricultural condition element enters the public buffer area, mapping the agricultural condition element into a corresponding Shard _ and carrying out buffer storage on the agricultural condition element and the geographic element.
And step 9: the database management module is used for opening API (application programming interface) authority for the geoscience analysis platform, the geoscience analysis platform is connected with the database management module, and the analysis module calls agricultural condition elements and geographic elements through a public buffer area.
In this embodiment, a geoscience analysis platform initiates a request message, an analysis module analyzes the request, and creates a plurality of fragments corresponding to data sources (agricultural condition elements and geographic elements) based on the request message, the fragments construct an iterator according to a combination, data types and timelines generated in the iterator are sent to the geoscience analysis platform in a feedback mode, and relevant data points in the iterator are serialized and then create a connection instance based on an HTTP protocol. Furthermore, the data instances created by the iterators individually form data nodes, and the remote iteration and the local iteration have the same interface.
Example two
In this embodiment, a detailed description is given to a data management system of a data management method of agricultural condition geographic information, referring to fig. 5, the management system includes a GIS module, an ASD module, a database management module, a first database, a second database, and an analysis module, where the basic connection of different modules constitutes the following description of the system and its related functions:
the GIS module is used for extracting entity objects of different types in the first geographic information and event objects of different types in the second geographic information, obtaining a plurality of sub-scenes based on geographic elements, obtaining geographic scene information based on the sub-scenes and the geographic father scenes, and performing unidirectional data exchange with the first database. The ASD module is used for receiving the agricultural condition information and generating a plurality of agricultural condition elements based on the second characteristics, and the ASD module and the second database perform unidirectional data exchange. The database management module is used for constructing a public buffer area of the first database and the second database, storing caching information of geographic elements of the first database and agricultural elements of the second database, establishing a linked list containing a unique relationship based on an index of the first database and an identifier of the second database, and performing bidirectional data exchange with the first database and the second database. The first database is a No SQL graphic database and is used for storing geographic scene information and establishing an incidence relation among entity objects, the geographic scene information and event objects based on the geographic scene information. The second database is a MySQL database and is used for storing the agricultural condition elements and establishing a database table based on the agricultural condition elements. The analysis module is any terminal equipment with the API authority of the database management module. The analysis module calls agricultural condition elements and geographic elements through the public buffer area.
The above description is only for the purpose of illustrating the preferred embodiments of the present invention and is not to be construed as limiting the invention, and any modifications, equivalents and improvements made within the spirit and principles of the present invention are intended to be included within the scope of the present invention.

Claims (9)

1. A data management method of agricultural condition geographic information is characterized by comprising the following steps:
step 1: inputting the first geographic information into a GIS module, and extracting different entity objects in the first geographic information based on the first characteristics, wherein any entity object comprises at least one geographic element;
and 2, step: converting the geographic elements into vector geographic data, grouping a plurality of entity objects, and constructing a main scene based on any group of entity objects;
and step 3: the GIS module receives the second geographic information, extracts different event objects in the second geographic information based on the geographic elements, and sets the second geographic information into a plurality of sub-scenes;
and 4, step 4: embedding the secondary scene into the primary scene to obtain geographical scene information, storing the geographical scene information into a first database, and generating an index symbol according to the geographical elements;
and 5: the ASD module receives the agricultural condition information, generates a plurality of agricultural condition elements based on the second characteristics, and stores the agricultural condition elements in a second database, wherein any agricultural condition element comprises an identifier;
step 6: the database management module generates a hash table based on the index character matching identifier, wherein the hash table comprises a plurality of linked lists for associating the first database with the second database;
and 7: traversing at least one linked list in the database management module, if the agricultural condition elements are linked with the geographical scene information linked list, entering step 8, otherwise, entering step 6;
and 8: storing agricultural condition elements and geographic elements corresponding to the linked list to a public buffer area of a database management module;
and step 9: the database management module opens API authority, and the analysis module calls agricultural condition elements and geographic elements through a public buffer area.
2. The data management method of the geographical information of agricultural conditions according to claim 1, wherein the first geographical information is satellite telemetric data with unified elevation datum, and the second geographical information is geographical data obtained by mapping in different agricultural areas based on a GIS technology, and at least comprises a three-dimensional model, an elevation model and a positive shot image.
3. The method for managing agricultural geographical information according to claim 1, wherein the geographical elements are geological conditions, topographic conditions and hydrological conditions in the first geographical information.
4. The method for managing geographical agricultural information according to claim 1, wherein the geographical agricultural information includes soil data, crop data, biomass data, and disaster data.
5. The method for managing agricultural geographical information according to claim 1, wherein the primary scene is telemetered image data containing geographical elements, the secondary scene is real scene image data of geographic mapping and exploration, and at least one secondary scene is embedded into the primary scene according to a spatial topological relation between scene objects.
6. The data management method of agricultural condition geographic information of claim 1, wherein the spatial topological relationship comprises an adjacency relationship, an association relationship, an inclusion relationship and a connectivity relationship between the secondary scene and the secondary scene, between the primary scene and the primary scene, between the primary scene and the secondary scene.
7. The method for managing agricultural geographical information of claim 1, wherein the geographical elements constitute a plurality of relation nodes N i I =1,2,3, \ 8230, n, the second database holds a database table D with agricultural condition elements i I =1,2,3, \ 8230;, n, database table D i For the relation node N i Broadcasting is carried out, and all the relation nodes N are recorded through concurrence i And arranging the hash values in the hash table of each partition according to the sequence of the relation nodes.
8. The agricultural condition geographic information data management method according to claim 1, wherein the secondary scenes constitute a random queue in the process of embedding the secondary scenes into the main scene, and if the main scene of any one of the secondary scenes does not exist in the random queue, the main scene is added into the random queue from the tail of the queue.
9. A data management system for implementing the agricultural condition geographic information data management method of claim 1, comprising a GIS module, an ASD module, a database management module, a first database, a second database, and an analysis module,
the GIS module is used for extracting entity objects of different types in the first geographic information and event objects of different types in the second geographic information, obtaining a plurality of sub-scenes based on geographic elements, and obtaining geographic scene information based on the sub-scenes and the geographic father scenes;
the ASD module is used for receiving the agricultural condition information and generating a plurality of agricultural condition elements based on the second characteristics;
the database management module is used for constructing a common buffer area of the first database and the second database, and establishing a linked list containing a unique relationship based on the index of the first database and the identifier of the second database;
the first database is a No SQL graphic database and is used for storing geographic scene information;
the second database is a My SQL database and is used for storing agricultural condition factors;
the analysis module is any terminal equipment with the API authority of the database management module.
CN202310154288.7A 2023-02-23 2023-02-23 Data management method and data management system for agricultural condition geographic information Active CN115858713B (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN202310154288.7A CN115858713B (en) 2023-02-23 2023-02-23 Data management method and data management system for agricultural condition geographic information

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN202310154288.7A CN115858713B (en) 2023-02-23 2023-02-23 Data management method and data management system for agricultural condition geographic information

Publications (2)

Publication Number Publication Date
CN115858713A true CN115858713A (en) 2023-03-28
CN115858713B CN115858713B (en) 2023-05-30

Family

ID=85658696

Family Applications (1)

Application Number Title Priority Date Filing Date
CN202310154288.7A Active CN115858713B (en) 2023-02-23 2023-02-23 Data management method and data management system for agricultural condition geographic information

Country Status (1)

Country Link
CN (1) CN115858713B (en)

Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN117742674A (en) * 2024-02-18 2024-03-22 江苏省地质测绘院 Geographic information element selection method based on characteristic macro and element characteristics

Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN105389753A (en) * 2015-11-04 2016-03-09 江西理工大学 Farmland contract management ownership one-map service system and realization method thereof
CN107180076A (en) * 2017-04-18 2017-09-19 中国检验检疫科学研究院 Residues of pesticides based on high resolution mass spectrum+internet+geography information are traced to the source and early warning video method online
CN109872244A (en) * 2019-01-29 2019-06-11 汕头大学 A kind of task instructs type wisdom agricultural planting expert system
US20190311431A1 (en) * 2016-09-15 2019-10-10 Erik M. Simpson Agricutlure community objects with price-time priority queues for transformed agriculture units
CN110322326A (en) * 2019-07-09 2019-10-11 程新宇 A kind of economic big data sharing method of geography based on ArgGis

Patent Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN105389753A (en) * 2015-11-04 2016-03-09 江西理工大学 Farmland contract management ownership one-map service system and realization method thereof
US20190311431A1 (en) * 2016-09-15 2019-10-10 Erik M. Simpson Agricutlure community objects with price-time priority queues for transformed agriculture units
CN107180076A (en) * 2017-04-18 2017-09-19 中国检验检疫科学研究院 Residues of pesticides based on high resolution mass spectrum+internet+geography information are traced to the source and early warning video method online
CN109872244A (en) * 2019-01-29 2019-06-11 汕头大学 A kind of task instructs type wisdom agricultural planting expert system
CN110322326A (en) * 2019-07-09 2019-10-11 程新宇 A kind of economic big data sharing method of geography based on ArgGis

Non-Patent Citations (2)

* Cited by examiner, † Cited by third party
Title
SHUZHONG TIAN等: ""Modeling of Big Data Database Based on Agricultural Basic Geographic Information"", 《2019 CHINESE AUTOMATION CONGRESS (CAC)》, pages 1 - 4 *
董宇阳等: ""基于ArcGIS的农业资源数据库的建立"", 《第六届ARCGIS暨ERDAS中国用户大会论文集》, pages 521 - 525 *

Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN117742674A (en) * 2024-02-18 2024-03-22 江苏省地质测绘院 Geographic information element selection method based on characteristic macro and element characteristics
CN117742674B (en) * 2024-02-18 2024-04-26 江苏省地质测绘院 Geographic information element selection method based on characteristic macro and element characteristics

Also Published As

Publication number Publication date
CN115858713B (en) 2023-05-30

Similar Documents

Publication Publication Date Title
CN113065000B (en) Multisource heterogeneous data fusion method based on geographic entity
CN112115198B (en) Urban remote sensing intelligent service platform
CN115269751B (en) Method for constructing geographic entity space-time knowledge graph ontology library
CN110309264B (en) Method and device for acquiring geographic product data based on knowledge graph
US8018458B2 (en) Close-packed uniformly adjacent, multiresolutional overlapping spatial data ordering
US8176053B2 (en) Query system for a hybrid voxel and feature database
US20110202538A1 (en) Voxel approach to terrain repositories for modeling and simulation
CN110321443B (en) Three-dimensional live-action model database construction method and device and data service system
CN106909644A (en) A kind of multistage tissue and indexing means towards mass remote sensing image
CN106933833A (en) A kind of positional information method for quickly querying based on Spatial Data Index Technology
CN114820975B (en) Three-dimensional scene simulation reconstruction system and method based on all-element parameter symbolization
CN115858713B (en) Data management method and data management system for agricultural condition geographic information
CN110659369B (en) On-orbit high-precision lightweight global image control point database construction method and system
CN114625820A (en) Sample library system and organization method for artificial intelligence remote sensing image interpretation
Gervasoni et al. Convolutional neural networks for disaggregated population mapping using open data
CN113626437B (en) Method and system for rapidly inquiring mass vector data
Ouchra et al. Spatial Data Mining technology for GIS: a review
CN117435823B (en) Space-time data service method based on grid coding and industrial Internet platform
CN110826454A (en) Remote sensing image change detection method and device
WO2024032717A1 (en) Geographic information graph constructing method and system for intelligent devices, and device
CN109255004A (en) The online interaction formula method for visualizing of accuracy guarantee towards geographical spatial data
CN115936114A (en) Knowledge graph construction method and device and storage medium
CN114840673A (en) Multi-source heterogeneous marine environment data integration method based on NetCDF
Lei et al. Onboard Data Management Approach Based on a Discrete Grid System for Multi-UAV Cooperative Image Localization
Akdere et al. Data-centric visual sensor networks for 3D sensing

Legal Events

Date Code Title Description
PB01 Publication
PB01 Publication
SE01 Entry into force of request for substantive examination
SE01 Entry into force of request for substantive examination
GR01 Patent grant
GR01 Patent grant