CN116318541A - Network space multidimensional information subdivision grid coding method, device, equipment and medium - Google Patents
Network space multidimensional information subdivision grid coding method, device, equipment and medium Download PDFInfo
- Publication number
- CN116318541A CN116318541A CN202310087573.1A CN202310087573A CN116318541A CN 116318541 A CN116318541 A CN 116318541A CN 202310087573 A CN202310087573 A CN 202310087573A CN 116318541 A CN116318541 A CN 116318541A
- Authority
- CN
- China
- Prior art keywords
- coding
- code
- network space
- dimension
- grid
- 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.)
- Pending
Links
- 238000000034 method Methods 0.000 title claims abstract description 43
- 230000008520 organization Effects 0.000 claims description 16
- 238000004590 computer program Methods 0.000 claims description 14
- 238000003860 storage Methods 0.000 claims description 8
- 230000009467 reduction Effects 0.000 abstract description 6
- 230000009286 beneficial effect Effects 0.000 abstract description 3
- 238000005516 engineering process Methods 0.000 description 12
- 238000010586 diagram Methods 0.000 description 11
- 238000013507 mapping Methods 0.000 description 8
- 238000013461 design Methods 0.000 description 5
- 238000001514 detection method Methods 0.000 description 5
- 238000012545 processing Methods 0.000 description 5
- 238000012800 visualization Methods 0.000 description 5
- 238000004458 analytical method Methods 0.000 description 4
- 230000005540 biological transmission Effects 0.000 description 4
- 238000004364 calculation method Methods 0.000 description 4
- 230000006870 function Effects 0.000 description 4
- 238000011160 research Methods 0.000 description 4
- 238000013499 data model Methods 0.000 description 3
- 238000011161 development Methods 0.000 description 3
- 230000000694 effects Effects 0.000 description 3
- 230000004927 fusion Effects 0.000 description 3
- 241000168254 Siro Species 0.000 description 2
- 238000010276 construction Methods 0.000 description 2
- 238000009826 distribution Methods 0.000 description 2
- 238000007726 management method Methods 0.000 description 2
- 238000012986 modification Methods 0.000 description 2
- 230000004048 modification Effects 0.000 description 2
- 230000008569 process Effects 0.000 description 2
- 238000003672 processing method Methods 0.000 description 2
- JIPVGERXYWGOOY-UHFFFAOYSA-N (2-methoxyphenyl) pentanoate Chemical compound CCCCC(=O)OC1=CC=CC=C1OC JIPVGERXYWGOOY-UHFFFAOYSA-N 0.000 description 1
- 108091026890 Coding region Proteins 0.000 description 1
- 238000013500 data storage Methods 0.000 description 1
- 230000002349 favourable effect Effects 0.000 description 1
- 230000010354 integration Effects 0.000 description 1
- 238000004519 manufacturing process Methods 0.000 description 1
- 238000005259 measurement Methods 0.000 description 1
- 238000002156 mixing Methods 0.000 description 1
- 230000003287 optical effect Effects 0.000 description 1
- 238000009877 rendering Methods 0.000 description 1
- 238000012827 research and development Methods 0.000 description 1
- 238000007493 shaping process Methods 0.000 description 1
Images
Classifications
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L1/00—Arrangements for detecting or preventing errors in the information received
- H04L1/004—Arrangements for detecting or preventing errors in the information received by using forward error control
- H04L1/0056—Systems characterized by the type of code used
- H04L1/0059—Convolutional codes
- H04L1/006—Trellis-coded modulation
-
- Y—GENERAL 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
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02D—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN INFORMATION AND COMMUNICATION TECHNOLOGIES [ICT], I.E. INFORMATION AND COMMUNICATION TECHNOLOGIES AIMING AT THE REDUCTION OF THEIR OWN ENERGY USE
- Y02D10/00—Energy efficient computing, e.g. low power processors, power management or thermal management
Landscapes
- Engineering & Computer Science (AREA)
- Computer Networks & Wireless Communication (AREA)
- Signal Processing (AREA)
- Compression, Expansion, Code Conversion, And Decoders (AREA)
Abstract
The invention provides a network space multidimensional information subdivision grid coding method, a device, equipment and a medium, wherein the method comprises the following steps: expressing the multidimensional information of the network space according to the grid coding rule to form a grid code of the network space; the network space grid code is at least obtained by arranging and serially coding position dimension codes, IP dimension codes and at least one value dimension code in sequence; the position dimension coding is obtained by coding the real physical space position of the network space unit; the IP dimensional coding is obtained by coding an IP address where a network space unit is located; the value dimension coding is obtained by coding the characteristic attributes such as the use state of the network space unit. The invention establishes a network space expression model without the object, well distinguishes two categories of space and object, has relatively uniform coding rules of multidimensional information, and is beneficial to subsequent high-efficiency dimension reduction operation of mass data.
Description
Technical Field
The invention relates to the technical field of network space subdivision grid coding, in particular to a network space multidimensional information subdivision grid coding method, device, equipment and medium.
Background
The existing network space subdivision grid coding technology has the following outline:
1. geography (earth subdivision) grid and encoding technique
Geographic grids are spatial data structures that rank the geospatial space in a certain rule, with a high degree of standardization, which is beneficial to the research and development of spatial database and geometric operation algorithms. Modern geographic grids are classified by the type of framework of the grid model, and can be generalized into four main types: longitude and latitude spherical discrete geographic grids, self-adaptive spherical discrete geographic grids, map projection-based discrete geographic grids and regular polyhedron spherical discrete geographic grids.
The organization, integration and fusion analysis of the spatial big data based on the subdivision grid are one of the important trends of the current geographic information field development. Many experts and scholars propose different geospatial mesh subdivision methods based on respective research directions, professional fields and application requirements, and various geospatial mesh construction schemes are generated, and subdivision models of the geospatial mesh construction schemes have the characteristics.
Based on research on the characteristics and application of various geospatial mesh subdivision models, a Beijing university program flag-bearing professor team provides a GeoSOT novel geospatial subdivision theory, designs corresponding coding rules, and gradually forms a GeoSOT-Beidou mesh code technology system. The current international and domestic standard system comprises: 3 international standards (1 published), 6 national standards (4 published) and ten industry/local standards. The most representative of these is national standard GB/T40087-2021, rules for encoding geospatial grid. The standard fully considers the general requirements and the demands, agrees with a mesh subdivision scheme and coding rules meeting the requirements of universality and wide application, can realize the unified description of the geospatial position to support the unified expression, modeling and analysis of the geospatial, is favorable for the unified organization and fusion of the spatial big data, and has developed more application practices in the fields of remote sensing data organization, disaster reduction data resource management, beidou navigation system application and the like at present.
The national standard GB/T40087-2021 'earth space grid coding rule' provides an earth surface and sphere space integrated grid subdivision, and a method and requirements for uniquely identifying and expressing grid units, provides that the earth surface is recursively subdivided to form multi-level and multi-resolution spherical grids (32 levels), the earth height direction subdivision is superimposed on the spherical subdivision to form a three-dimensional space grid, and simultaneously provides that the grid units are uniquely identified and expressed by adopting a quaternary 1-dimensional lengthening and Z-order cross coding method.
However, the disadvantages are as follows:
for geospatial trellis coding, the applicable scope is real physical space, and is not fully applicable to the identification expression of network space. The network space has a plurality of characteristics which are peculiar to the network space, compared with the real physical space.
2. Network space identification expression technology
With the development of the internet, the network space has become the fifth space behind land, sea, air and space, and is a strategic value space for the force games of various countries. However, the definition of the network space is not yet mature and unified, and the identification expression technology of the network space is still in a preliminary development stage. In summary, the current network space map lacks a well-established element classification system and a map data model, has relatively limited capability in expressing network space multidimensional information, and cannot well meet different network space expression requirements.
Research into this direction has focused mainly on the field of "cyber-space mapping" technology. The network space mapping is typically divided into 3 logical levels of detection, mapping and rendering. The main task of the detection layer is network space resource measurement, and the detection object is network space virtual and real resources and attributes thereof; the mapping layer is used for mapping network entity resources to geographic space and mapping network virtual resources to social space by utilizing the related data provided by the detection layer; the drawing layer projects the multi-dimensional network space virtual and real resources and attributes thereof to a low-dimensional visualization space on the basis of the detection layer result and the mapping layer result, builds a hierarchical and variable granularity network map of the network space, and realizes the visualization of the multi-variable time-varying network resources.
The identification expression technology of the network space is more typical than the research of the Jiujun information engineering university Wang Yingxue et al, the data model design and processing method for the expression of the network space (the 6 th period of 2019 of the journal of mapping science and technology). Based on analyzing network space map elements, the network space is regarded as a three-dimensional information network world, a map hierarchical model and a data storage structure which are oriented to the expression of the network space are designed, and the flow and key technology of data processing are analyzed.
The network space in the network space expression-oriented data model design and processing method is a three-dimensional information network world, and the three-dimensional space model, the network model and the information space model are unified into a three-layer network space map hierarchical model.
As shown in fig. 1, the first layer of the model is a location description layer, the base map elements of the layer include boundary elements, and other necessary geographic space elements (such as residential areas and facilities, traffic, landforms, etc.) are selected according to the use purpose of the map, the subject content, the coverage area, the service objects, etc. to optimize the network space expression effect, and then terminal devices, switching devices, transmission media and virtual bodies in the network space are stacked on the upper layer of the base map to form an element location map. The second layer of the model is a relation description layer, and depicts topological relations mainly comprising adjacency, association and dependence among network space elements to form a node relation diagram. The third layer of the model is a semantic description layer, the strength of the relation is defined based on the multidimensional attribute of the information data so as to restrict the deformation of the node relation graph, weaken the concept of distance and direction and emphasize the importance of the relation in the network space. The model may depict the location, relationship, and attribute structure and spatial distribution of the multidimensional information data of the network spatial elements on a two-dimensional plane.
The disadvantages of this are as follows:
(1) The network space map hierarchical model is essentially a space abstract model, but incorporates attribute relationships of element objects at a third layer. The logical blending results in an inability to build a clear "space + object" two-dimensional big data organization framework.
(2) The existing hierarchical model remains at the conceptual model level. The data structure suitable for big data operation is not formed from the angle of unified coding and expression, and the high-efficiency operation of massive big data cannot be supported.
Disclosure of Invention
The invention aims to solve the technical problem of providing a network space multidimensional information subdivision grid coding method, a device, equipment and a medium, which are used for establishing an object-removed network space expression model, distinguishing two categories of space and object well, ensuring relatively uniform coding rules of multidimensional information and being beneficial to subsequent mass data efficient dimension reduction operation.
In a first aspect, the invention provides a network space multidimensional information subdivision grid coding method, which expresses multidimensional information of a network space according to grid coding rules to form a network space grid code;
the network space grid code is at least obtained by arranging and serially coding position dimension codes, IP dimension codes and at least one value dimension code in sequence;
the position dimension coding is obtained by coding the real physical space position of the network space unit;
the IP dimensional coding is obtained by coding an IP address where a network space unit is located;
the value dimension coding is obtained by coding the characteristic attributes such as the use state of the network space unit.
In a second aspect, the present invention provides a network space multidimensional information subdivision trellis encoding device for implementing the method as described in the first aspect.
In a third aspect, the invention provides an electronic device comprising a memory, a processor and a computer program stored on the memory and executable on the processor, the processor implementing the method of the first aspect when executing the program.
In a fourth aspect, the present invention provides a computer readable storage medium having stored thereon a computer program which when executed by a processor implements the method of the first aspect.
One or more technical solutions provided in the embodiments of the present invention at least have the following technical effects or advantages:
1. the large data organization model of the earth space grid coding technology in the real physical world is expanded and applied to the virtual network world, and the network space characteristics are summarized through multiple dimension identification of the virtual network world, so that the virtual network world can be well identified.
2. The invention clearly distinguishes two categories of space and object, and can establish a clear virtual network world which is used for dealing with the object with the space frame unchanged by removing the object, so that a clear large data organization frame of space and object can be established in the later stage.
3. Adopts relatively uniform mesh subdivision (2 n Subdivision) rule is used for coding, and the subsequent high-efficiency dimension reduction operation of mass data is facilitated.
4. The coding rule is concise and unified, the coding length is basically fixed length, the bytes are regular, and the large-scale universal use is convenient.
5. The design of coding string and configuration bytes can well meet the application requirements of mass data transmission and identification analysis.
The foregoing description is only an overview of the present invention, and is intended to be implemented in accordance with the teachings of the present invention in order that the same may be more clearly understood and to make the same and other objects, features and advantages of the present invention more readily apparent.
Drawings
The invention will be further described with reference to examples of embodiments with reference to the accompanying drawings.
FIG. 1 is a schematic diagram of a network space map hierarchical model of a conventional 3-layer structure;
FIG. 2 is a flow chart of a method according to a first embodiment of the invention;
FIG. 3 is a schematic diagram of a device according to a second embodiment of the present invention;
fig. 4 is a schematic structural diagram of an electronic device according to a third embodiment of the present invention;
fig. 5 is a schematic structural diagram of a medium in a fourth embodiment of the present invention.
Detailed Description
According to the network space multidimensional information subdivision grid coding method, device, equipment and medium, an object-removed network space expression model is established, two categories of space and object are well distinguished, and coding rules of multidimensional information are relatively uniform, so that subsequent mass data efficient dimension reduction operation is facilitated.
According to the technical scheme in the embodiment of the application, the overall thought is as follows: the large data organization model of the earth space grid coding technology in the real physical world is expanded and applied to the virtual network world, and the network space characteristics are summarized through multiple dimension identification of the virtual network world, so that the virtual network world can be well identified. And (3) establishing an object-removing network space expression model, well distinguishing two categories of space and object, having simple coding rule and unified form, having better dimension-reducing calculation capability, and carrying out coding string coding on a plurality of information strings together at one time, thereby establishing a network space multidimensional information coding technology suitable for mass data operation and transmission.
Example 1
As shown in fig. 2, the present embodiment provides a network space multidimensional information subdivision trellis encoding method, which is characterized in that: expressing multidimensional information of the network space according to a grid coding rule to form a grid code of the network space, which is also called a Sibo grid code;
the network space grid code is at least obtained by arranging and serially coding position dimension codes, IP dimension codes and at least one value dimension code in sequence;
the position dimension coding is obtained by coding the real physical space position of the network space unit;
the IP dimensional coding is obtained by coding an IP address where a network space unit is located;
the value dimension coding is obtained by coding the characteristic attributes such as the use state of the network space unit.
Wherein, as a better or more specific implementation manner of the embodiment, the network space grid code is a length-fixed length code; such fixed length is a relatively substantial fixed length. The bottom layer of the code is binary, and is usually converted into hexadecimal for storage in programming.
The position-dimensional code, the IP-dimensional code, and the value-dimensional code all follow a relatively uniform 2 n The subdivision rule is obtained by subdivision coding.
The network space grid code is obtained by collecting and converting position data of an organization, codes the real physical space position of a network space unit (grid), and can be directly coded by adopting national standard 'earth space grid coding rules'. Considering that the real space where the network space unit is located is mostly converted by collecting the position data of the organization, global position coding can be carried out according to the highest precision of 8 meters (not 8 meters in a strict sense, a certain error range can be allowed) for the whole organization, and two-dimensional plane data are adopted; and inside the organization structure, the local position code is encoded according to the highest precision of 1 meter (not 1 meter in a strict sense, a certain error range can be allowed), and two-dimensional plane data or three-dimensional stereo data are adopted, wherein the three-dimensional stereo data comprise two-dimensional plane data and elevation data.
The IP dimension code is obtained by converting a Pv4 address or an IPv6 address, and is formed by dividing each byte by 1 level and 8 times by 2 minutes according to the byte number of the Pv4 address or the IPv6 address.
The IPv4 address is composed of four segments, each segment being one byte, 8 bits per byte, with a maximum of 255. In order to adapt to the class A, class B and class C IP addresses, the method is divided into 1 level of each byte and 8 times of 2 minutes of each level to form a final code. The IPv4 address encoding length is 4 bytes. For example, for "IP:192.168.10.223 "(IPv 4) to obtain a 16-ary code as follows: "0xc0a80adf".
IPv6 consists of 16 segments of 1 byte each, 8 bits each, with a maximum of 255.IPv 4 is embedded in the IPv6, and the IPv6 comprises a local address, a loop-back address, a multicast address and the like, and is split according to a mode of '1 level per byte and 8 times 2 minutes per level', so that a final code is formed. The IPv6 address encoding length is 16 bytes.
For example, for "IP:240e:37a:76:7300:5cc3:73b:9e8c:4 "(IPv 6), then 16-ary encoding is obtained: "0x240e037a007673005cc3073b9e8c0004".
The value dimension code is obtained by carrying out hierarchical division on the value dimension, a plurality of value dimension grades are obtained after the value dimension is subjected to hierarchical division, and each value dimension grade can be further divided into a plurality of value classifications, so that the value dimension can be further expanded, and user-defined various types of information can be accommodated. The length of any value dimension code is fixed to be 4 bytes, each value dimension is split to obtain 3 value dimension grades at the highest, and each value dimension grade can be further split into 256 value classifications.
For the value dimension, in a specific embodiment, the security level of the network space may be used as the first-level value dimension, and the security level of the network space currently has 5 levels (usually 3 levels), and the highest acceptable security level can reach 256 levels.
For example, the security level value is level 3. If the value classification is not considered, the value classification is coded and converted into 16-ary value to obtain: 0x03000000.
The network space grid code also comprises a fixed-length configuration byte code, wherein the configuration byte code is obtained by encoding a plurality of configuration bytes and is positioned at the head of the network space grid code and used for identifying the length, the data coding type, the data precision and the data byte length information of the string coding stream of the network space grid code.
And carrying out serial coding on the configuration byte code, the position dimension code, the IP dimension code and at least one value dimension code to obtain the complete Sibo grid code. Each Sitting lattice code head is configured byte and fixed length 8 bytes. Each byte represents a different meaning, e.g., the 1 st byte has a specific value of 11011100 (binary), identifying this as a race-net code. The specific definition of the configuration byte can be freely changed, for example, the meaning of 0 and 1 on a certain bit can be defined by itself.
In consideration of the convenience of programming, the siro grid code is basically fixed in length, and is specified in sequence in each dimension as follows: (1) the value dimension code and the elevation code are combined, padded by 8 bytes, to align with the position dimension code. (2) IPv4 is extended to 16 bytes. The order of the IP dimension code is placed after the value dimension code.
Thus, for a Sibo trellis code, 8 bytes of configuration bytes are followed in turn by 8 bytes of global position code, 8 bytes of local position code, 4 bytes of elevation code, 4 bytes of value dimension code, 16 bytes of IP dimension code. The entire data stream is 48 bytes in total. But the coding sequence of each dimension can be adjusted when coding the string.
Coding example
For example, a hospital, given a latitude and longitude 119.3347283,34.225477, a certain intranet device IP address of the hospital is: 192.168.10.233 the offset from the hospital anchor point is (X2589.39, Y-122.48), the security level on the device is a 3-level data file, and the corresponding encoding process of the siro grid code is as follows:
a) First, the configuration byte (8 bytes)
Sitting lattice code mark
11011100
Global position accuracy (31)
00011111
Local position accuracy (31)
00011111
Elevation precision (0)
00000000
Value dimension accuracy (8)
00001000
IP byte length (4)
00000100
The binary codes are combined and converted into 16 scale codes, and 0xDC F1F0008040000 is obtained.
b) Global position code (8 bytes)
Coding a given global position according to 31-bit precision and converting the given global position into 16-ary system to obtain: 0x1D 1B22BB8A3BC0.
c) Local position code (8 bytes)
According to 31-bit precision, the given local position is coded and then converted into 16-ary system to obtain: 0x00442BD93E8D0002.
d) Elevation code (4 bytes)
Coding the given elevation according to the accuracy of 1 meter, and converting the coded elevation into 16 scale to obtain: 0x00000C00.
e) Value dimension code (4 bytes)
Encoding the given security level and converting the encoded security level into 16 system to obtain: 0x03000000.
f) IP dimensional code (16 bytes)
Coding given IP and converting the coded IP into 16-system to obtain: 0xc0a80adf000000000000000000000000.
g) String coding to obtain final Sibo grid code
0xDC1F1F00080400001D1D1B22BB8A3BC000442BD93E8D000200000C0003000000C0A80ADF000000000000000000000000。
The application of the Sibo grid code has the advantages that:
1. retrieval and calculation
The Sibo grid code has a regular data structure, is designed to be fixed in length, is very convenient to incorporate into database management, has very high query retrieval and calculation efficiency in a one-dimensional shaping coding form, and has obvious advantages in comparison with the prior IP address which can only be used for indexing and has lower efficiency and can not be used for calculation.
2. Visualization of
The Sibo grid code accommodates geographical latitude information of a real physical space, has obvious spatial distribution characteristics, and is used for visualization to well realize abstract IP address spatialization and visualization. The essence of the method is that the network space is defined through a CGC model, and the method has basic innovation value.
3. Digital twin
The Sibo grid code is combined with the existing earth space grid code (real physical world), so that virtual-real fusion and digital twin can be truly realized.
Based on the same inventive concept, the present application also provides a device corresponding to the method in the first embodiment, and details of the second embodiment are described in the following.
Example two
The present invention provides a network space multidimensional information subdivision trellis encoding device, which is used for implementing any implementation mode of the embodiment.
As shown in fig. 3, in particular, the present embodiment may include a position dimension encoding module, a I P dimension encoding module, a value dimension encoding module, a configuration byte encoding module, and a serialization module.
Since the device described in the second embodiment of the present invention is a device for implementing the method described in the first embodiment of the present invention, based on the method described in the first embodiment of the present invention, a person skilled in the art can understand the specific structure and the deformation of the device, and thus the detailed description thereof is omitted herein. All devices used in the method according to the first embodiment of the present invention are within the scope of the present invention.
Based on the same inventive concept, the application provides an electronic device embodiment corresponding to the first embodiment, and the details of the third embodiment are described in detail.
Example III
The present embodiment provides an electronic device, as shown in fig. 4, including a memory, a processor, and a computer program stored in the memory and capable of running on the processor, where any implementation of the first embodiment may be implemented when the processor executes the computer program.
Since the electronic device described in this embodiment is a device for implementing the method described in the first embodiment of the present application, those skilled in the art will be able to understand the specific implementation of the electronic device and various modifications thereof based on the method described in the first embodiment of the present application, so how the method described in the embodiment of the present application is implemented in this electronic device will not be described in detail herein. The apparatus used to implement the methods of the embodiments of the present application are within the scope of what is intended to be protected by the present application.
Based on the same inventive concept, the application provides a storage medium corresponding to the first embodiment, and the details of the fourth embodiment are described in detail.
Example IV
The present embodiment provides a computer readable storage medium, as shown in fig. 5, on which a computer program is stored, which when executed by a processor, can implement any implementation of the first embodiment.
The method, the device, the system, the equipment and the medium provided by the embodiment of the application have at least the following technical effects or advantages:
1. the large data organization model of the earth space grid coding technology in the real physical world is expanded and applied to the virtual network world, and the network space characteristics are summarized through multiple dimension identification of the virtual network world, so that the virtual network world can be well identified.
2. The invention clearly distinguishes two categories of space and object, and can establish a clear virtual network world which is used for dealing with the object with the space frame unchanged by removing the object, so that a clear large data organization frame of space and object can be established in the later stage.
3. Adopts relatively uniform mesh subdivision (2 n Subdivision) rule is used for coding, and the subsequent high-efficiency dimension reduction operation of mass data is facilitated.
4. The coding rule is concise and unified, the coding length is basically fixed length, the bytes are regular, and the large-scale universal use is convenient.
5. The design of coding string and configuration bytes can well meet the application requirements of mass data transmission and identification analysis.
It will be apparent to those skilled in the art that embodiments of the present invention may be provided as a method, apparatus or system, or a computer program product. Accordingly, the present invention may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, the present invention may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, and the like) having computer-usable program code embodied therein.
The present invention is described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems) and computer program products according to embodiments of the invention. It will be understood that each flow and/or block of the flowchart illustrations and/or block diagrams, and combinations of flows and/or blocks in the flowchart illustrations and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
While specific embodiments of the invention have been described above, it will be appreciated by those skilled in the art that the specific embodiments described are illustrative only and not intended to limit the scope of the invention, and that equivalent modifications and variations of the invention in light of the spirit of the invention will be covered by the claims of the present invention.
Claims (10)
1. A network space multidimensional information subdivision grid coding method is characterized in that: expressing the multidimensional information of the network space according to the grid coding rule to form a grid code of the network space;
the network space grid code is at least obtained by arranging and serially coding position dimension codes, IP dimension codes and at least one value dimension code in sequence;
the position dimension coding is obtained by coding the real physical space position of the network space unit;
the IP dimensional coding is obtained by coding an IP address where a network space unit is located;
the value dimension coding is obtained by coding the characteristic attributes such as the use state of the network space unit.
2. The method according to claim 1, characterized in that: the network space grid code is a length-fixed length code; the position-dimensional code, the IP-dimensional code, and the value-dimensional code all follow a relatively uniform 2 n The subdivision rule is obtained by subdivision coding.
3. The method according to claim 1, characterized in that: the network space grid code is obtained by collecting and converting position data of an organization mechanism, global position coding is carried out according to the highest precision of 8 meters for the whole organization mechanism, and two-dimensional plane data are adopted; and (3) carrying out local position code coding according to the highest precision of 1 meter in the organization mechanism, and adopting two-dimensional plane data or three-dimensional stereo data, wherein the three-dimensional stereo data comprises two-dimensional plane data and elevation data.
4. The method according to claim 1, characterized in that: the IP dimension code is obtained by converting a Pv4 address or an IPv6 address, and is formed by dividing each byte by 1 level and 8 times by 2 minutes according to the byte number of the Pv4 address or the IPv6 address.
5. The method according to claim 1, characterized in that: the value dimension code is obtained by carrying out hierarchical subdivision on the value dimension, a plurality of value dimension grades are obtained after the value dimension is subjected to hierarchical subdivision, and each value dimension grade can be further subdivided into a plurality of value classifications.
6. The method according to claim 5, wherein: the coding length of the value dimension is fixed to be 4 bytes, each value dimension is split to obtain 3 value dimension grades at the highest, and each value dimension grade can be further split into 256 value classifications.
7. The method according to claim 1, characterized in that: the network space grid code also comprises a fixed-length configuration byte code, wherein the configuration byte code is obtained by encoding a plurality of configuration bytes and is positioned at the head of the network space grid code and used for identifying the length, the data coding type, the data precision and the data byte length information of the string coding stream of the network space grid code.
8. A network space multidimensional information subdivision grid coding device is characterized in that: for implementing the method according to any one of claims 1 to 7.
9. An electronic device comprising a memory, a processor and a computer program stored on the memory and executable on the processor, wherein the processor implements the method of any one of claims 1 to 7 when the program is executed by the processor.
10. A computer readable storage medium, on which a computer program is stored, characterized in that the program, when being executed by a processor, implements the method according to any one of claims 1 to 7.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202310087573.1A CN116318541A (en) | 2023-02-09 | 2023-02-09 | Network space multidimensional information subdivision grid coding method, device, equipment and medium |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202310087573.1A CN116318541A (en) | 2023-02-09 | 2023-02-09 | Network space multidimensional information subdivision grid coding method, device, equipment and medium |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN116318541A true CN116318541A (en) | 2023-06-23 |
Family
ID=86780628
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202310087573.1A Pending CN116318541A (en) | 2023-02-09 | 2023-02-09 | Network space multidimensional information subdivision grid coding method, device, equipment and medium |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN116318541A (en) |
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN117278053A (en) * | 2023-11-17 | 2023-12-22 | 南京智盟电力有限公司 | GLTF-JSON format data compression method, system and device |
| CN117271695A (en) * | 2023-11-20 | 2023-12-22 | 浙江华东工程数字技术有限公司 | Vector space data superposition analysis method and device, electronic equipment and storage medium |
-
2023
- 2023-02-09 CN CN202310087573.1A patent/CN116318541A/en active Pending
Cited By (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN117278053A (en) * | 2023-11-17 | 2023-12-22 | 南京智盟电力有限公司 | GLTF-JSON format data compression method, system and device |
| CN117278053B (en) * | 2023-11-17 | 2024-02-09 | 南京智盟电力有限公司 | GLTF-JSON format data compression method, system and device |
| CN117271695A (en) * | 2023-11-20 | 2023-12-22 | 浙江华东工程数字技术有限公司 | Vector space data superposition analysis method and device, electronic equipment and storage medium |
| CN117271695B (en) * | 2023-11-20 | 2024-02-20 | 浙江华东工程数字技术有限公司 | Vector space data superposition analysis method and device, electronic equipment and storage medium |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| Lv et al. | BIM big data storage in WebVRGIS | |
| CN116318541A (en) | Network space multidimensional information subdivision grid coding method, device, equipment and medium | |
| CN110321443B (en) | Three-dimensional live-action model database construction method and device and data service system | |
| Dutton | Improving locational specificity of map data—a multi-resolution, metadata-driven approach and notation | |
| CN107194533B (en) | Power distribution network full information model construction method and system | |
| CN111540051B (en) | CIM-based full-element mass data lightweight and topology analysis application platform | |
| CN105022790A (en) | Object-orientated city entity geocoding integration method | |
| Bordogna et al. | Clustering geo-tagged tweets for advanced big data analytics | |
| CN109741209A (en) | Power distribution network multi-source data fusion method, system and storage medium under typhoon disaster | |
| CN110825830B (en) | Data retrieval method for grid space | |
| Zhang et al. | Improving NoSQL storage schema based on Z-curve for spatial vector data | |
| CN114238384B (en) | Area positioning method, device, equipment and storage medium | |
| Amirkhanyan et al. | Real-time clustering of massive geodata for online maps to improve visual analysis | |
| CN115719410A (en) | Slicing method of space model data | |
| CN117435823B (en) | Space-time data service method based on grid coding and industrial Internet platform | |
| CN116645484B (en) | Geological curved surface model construction method and device, electronic equipment and storage medium | |
| CN108492367A (en) | A kind of wind power plant methods of exhibiting and wind power plant display systems | |
| Bakalov et al. | A network model for the utility domain | |
| Lai et al. | A spatial multi-scale integer coding method and its application to three-dimensional model organization | |
| CN115774749A (en) | AutoCAD platform and general GIS platform data lossless conversion method | |
| Lam et al. | Semantic 3D city model data visualization for smar t city digital twin | |
| CN114969237A (en) | Automatic address analyzing and matching method for geographic information system | |
| CN115131526A (en) | Automatic comprehensive drawing method and system | |
| Basnet et al. | Analysis of multifactorial social unrest events with spatio-temporal k-dimensional tree-based dbscan | |
| CN114092654A (en) | Digital earth three-dimensional space scene management method compatible with Beidou grid |
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 |