GIS-based optical cable and computer room association query processing method and system

Abstract

This solution proposes a GIS-based optical cable and computer room association query processing method and system. It involves obtaining the geographic data of the target area through the OGC standard interface, generating regional units with unique identifiers using the grid division method, and establishing an R-tree index to achieve structured storage of the spatial relationship between optical cables and computer rooms. The system supports dual modes of regional query and line query: regional query obtains accurate data through spatial intersection calculation and tolerance band clipping, and line query relies on the topology database to locate the fault section. The two embodiments respectively verify the application value in the scenarios of urban new district planning and long-distance optical cable fault location, improve efficiency compared to traditional solutions, and provide technical support for visual management and cost optimization of communication networks.

Description

Technical Field

[0001] The present invention relates to the field of Internet, and in particular to a method and system for querying and processing the association between optical cables and computer rooms based on GIS. Background Art

[0002] In modern communications networks, optical cables are a crucial carrier of information transmission, and their rational layout and effective management in computer rooms are crucial. As the scale of communications networks continues to expand, the number of optical cables and computer rooms has increased dramatically, posing numerous challenges to traditional management and query methods.

[0003] Traditional fiber optic cable and equipment room management often uses decentralized databases to store information, lacking effective spatial correlation. This makes it difficult to quickly and accurately obtain information about fiber optic cables and equipment rooms within a specific area, as well as the relationships between them, when performing queries. For example, when querying the distribution of fiber optic cables within a specific area and their corresponding equipment rooms, traditional methods may require searching multiple databases separately and then manually integrating the information, which is inefficient and prone to errors.

[0004] Furthermore, traditional query methods perform poorly when handling complex spatial queries. They lack efficient processing mechanisms for different types of queries, such as regional or route queries, and are unable to meet real-time and accuracy requirements. Meanwhile, the continuous development of GIS (Geographic Information System) technology has increasingly highlighted its advantages in spatial data management and analysis, providing new solutions for addressing issues in optical cable and equipment room management queries.

[0005] GIS technology combines spatial data with attribute data, enabling visual management and analysis of geographic objects. Through GIS, the spatial location information of optical cables and equipment rooms can be effectively integrated with other attribute information to establish intuitive spatial association models. This allows for the use of GIS's spatial analysis capabilities during queries to quickly and accurately obtain the required information, improving query efficiency and accuracy.

[0006] Therefore, there is an urgent need for a GIS-based optical cable and computer room association query processing method and system to solve the problems existing in traditional methods and improve the efficiency and level of communication network management. Summary of the Invention

[0007] The object of the present invention is to overcome the deficiencies of the prior art and provide a GIS-based optical cable and computer room association query processing method, comprising the following steps:

[0008] Step 1: Obtain target area information, divide the target area according to standard area division units, obtain a target area unit sequence, and obtain the optical cable information and equipment room information contained in the target area units;

[0009] Step 2: Obtain the query instruction sent by the service terminal and obtain the query instruction type. If it is an area query instruction, proceed to step 3; if it is a line query instruction, proceed to step 5;

[0010] Step 3: Obtain the query area range in the area query instruction, obtain the target area units with the least number of overlaps with the query area range based on the query area range, and form a first query area. Obtain first query information based on the optical cable information and computer room information contained in the first query area. If the first query information does not contain optical cable information or computer room information outside the query area range, the first query information is the target query information and the process proceeds to step 6; otherwise, the process proceeds to step 4.

[0011] Step 4: Obtain the optical cable information and computer room information in the target area unit that is not fully covered, remove the optical cable information and computer room information outside the query area from the first query information, obtain the target query information, and proceed to step 6;

[0012] Step 5: Based on the line information in the line query information, a target area unit including the line information is obtained from the target area unit sequence. Based on the target area unit including the line information, the coverage area and computer room information of the corresponding line are obtained to obtain the target query information, and then the process proceeds to step 6.

[0013] Step 6: Return the target query information to the service terminal to complete the information query.

[0014] Furthermore, the target area information is obtained by dividing the target area according to the standard area division unit to obtain a target area unit sequence, and obtaining the optical cable information and the computer room information contained in the target area unit, including:

[0015] The spatial coordinate range and geographic attribute information of the target area are obtained through the GIS map data interface; a preset division scale is used to generate a standard area division unit, wherein the standard area division unit is a geometric polygon area with a unique identifier; a target area unit sequence is established based on a spatial index structure, and each target area unit stores the associated optical cable segment identifier, computer room coordinate point, and equipment attribute data; and the spatial inclusion relationship between the optical cable routing segments and computer rooms contained in each target area unit is obtained.

[0016] Furthermore, the query instruction sent by the service terminal is obtained to obtain the query instruction type, including:

[0017] A query request message sent by a service terminal is received through a communication module, wherein the message includes an instruction type identification field; and an instruction parsing module is used to identify the query instruction type, wherein the types include: an area query instruction and a line query instruction. The area query instruction is an instruction including a spatial range parameter; and the line query instruction is an instruction including an optical cable line identifier or a routing characteristic parameter.

[0018] Furthermore, the query area range in the obtain area query instruction is obtained, and the target area units having the least number of overlaps with the query area range are obtained according to the query area range to form a first query area, including:

[0019] Obtain the intersection of the query area range and all target area units; select complete target area units that are completely contained in the query area range and target area units that partially overlap with the query area range to form a first query area.

[0020] Furthermore, the acquisition of optical cable information and computer room information in the target area unit that is not fully covered, removing the optical cable information and computer room information outside the query area from the first query information, and obtaining the target query information, includes:

[0021] A spatial clipping operation is performed on the units that partially cover the target area, retaining the optical cable segments and equipment rooms within the query area; a buffer analysis technique is used to establish a tolerance band for the query area boundary, and discrete features outside the tolerance band are eliminated. The geometric continuity of the clipped features is corrected through topological reconstruction to obtain the target query information.

[0022] Furthermore, the target area unit including the line information is obtained from the target area unit sequence according to the line information in the line query information, and the coverage area and computer room information of the corresponding line are obtained according to the target area unit including the line information, thereby obtaining the target query information, including:

[0023] Parse the line identifier or routing characteristic parameters in the line query instruction; query all target area unit identifiers passed by the line through the optical cable line topology database to obtain the line coverage area, and establish a line-computer room topology connection relationship table based on the optical cable routing segments and computer room spatial inclusion relationships contained in each target area unit within the coverage area.

[0024] A GIS-based optical cable and computer room association query processing system, which applies the GIS-based optical cable and computer room association query processing method, includes a GIS cloud service platform, a service terminal, a communication module, and a data acquisition module;

[0025] The GIS cloud service platform, service terminal, and data acquisition module are respectively connected to the communication module.

[0026] The present invention achieves the following beneficial effects: By employing GIS technology and a spatial index structure, efficient queries for optical cable and equipment room information are achieved. In area queries, by selecting target area units with the least overlap with the query area, data processing is reduced and query speed is improved. In line queries, the optical cable line topology database and spatial index are utilized to quickly locate the area units through which the line passes, improving query efficiency.

[0027] The accuracy of query results is ensured through techniques such as spatial clipping, buffer analysis, and topology reconstruction. For area queries, optical cables and equipment room information outside the query area is removed to avoid interference from erroneous information. For line queries, an accurate line-to-equipment room topology connection table is established to ensure the accuracy of the line-to-equipment room association.

[0028] Based on GIS technology, the spatial location information of optical cables and equipment rooms is combined with their attribute information to achieve visual management of the communication network. Users can intuitively view the distribution of optical cables and equipment rooms, as well as the relationships between them, on the GIS map, providing strong support for network planning, maintenance, and management.

[0029] The system uses centralized data storage and management to ensure data consistency and integrity. The data acquisition module pre-processes and verifies collected data to avoid duplication and errors. Furthermore, the system supports real-time data updates to ensure data timeliness.

[0030] The system supports multiple query methods, such as regional query and line query, to meet the query needs of different users. Users can choose the appropriate query method according to their needs to quickly obtain the required optical cable and equipment room information. BRIEF DESCRIPTION OF THE DRAWINGS

[0031] Figure 1 The figure is a flowchart of the GIS-based optical cable and computer room association query processing method;

[0032] Figure 2 Schematic diagram of the process of dividing the target area into units;

[0033] Figure 3 Schematic diagram of instruction type parsing flow. DETAILED DESCRIPTION

[0034] The technical solution of the present invention will be further described in detail below with reference to the accompanying drawings, but the protection scope of the present invention is not limited to the following.

[0035] The features and performance of the present invention are further described in detail below with reference to the embodiments.

[0036] like Figure 1As shown in Figure 1, the GIS-based optical cable and computer room association query processing method mainly includes the following steps: target area division, query instruction processing, area query processing, line query processing, and query result return. Through the coordinated operation of these steps, efficient query and management of optical cable and computer room information can be achieved.

[0037] Step 1: Obtain target area information and divide it

[0038] Obtain the spatial coordinate range and geographic attribute information of the target area through the GIS map data interface. GIS map data interfaces can adopt various types, such as REST API interfaces, and follow relevant standards established by the OGC (Open Geospatial Consortium), such as WMS (Web Map Service) and WFS (Web Feature Service), to ensure data compatibility and openness.

[0039] A preset division scale is used to generate standard regional division units, which are geometric polygonal areas with unique identifiers. The division scale setting needs to consider factors such as the size of the target area and the distribution density of optical cables and equipment rooms to ensure that the divided regional units meet query efficiency requirements while accurately containing the required optical cable and equipment room information.

[0040] A target area unit sequence is established based on a spatial index structure. This spatial index structure can utilize efficient indexing methods such as R-trees and quadtrees to improve spatial query efficiency. Each target area unit stores the associated optical cable segment identifier, computer room coordinates, and equipment attribute data, such as the optical cable model, length, and installation time, as well as the computer room capacity and equipment type.

[0041] Using spatial analysis algorithms, we can determine the spatial inclusion relationships of the fiber optic cable routing segments and equipment rooms within each target area unit. This can be achieved by calculating whether a point in geometry is within a polygon, or by calculating the intersection of line segments and polygons, ensuring accurate recording of fiber optic cable and equipment room information within each area unit.

[0042] Step 2: Obtain and parse the query command

[0043] The communication module receives the query request message sent by the service terminal, which contains the instruction type identification field. The communication module can use communication protocols such as HTTP and WebSocket to ensure the stability and real-time performance of data transmission.

[0044] The command parsing module identifies query command types, which mainly include area query commands and line query commands. Area query commands are commands that contain spatial range parameters, such as rectangular ranges and polygonal ranges; line query commands are commands that contain optical cable line identifiers or route characteristic parameters, such as line numbers and route start and end coordinates.

[0045] Step 3: Processing region query instructions

[0046] Get the query area range in the area query instruction, which can be a polygon drawn by the user through the service terminal, a latitude and longitude range input, etc.

[0047] Obtain the intersection of the query area and all target area units. Select the complete target area units that are completely contained within the query area, as well as the target area units that partially overlap with the query area, to form the first query area. This process can be implemented using the spatial overlay analysis function of GIS. By calculating the spatial relationship between the query area and each target area unit, the overlapping area units are determined.

[0048] The first query information is obtained based on the optical cable information and computer room information contained in the first query area. During the acquisition process, it is necessary to extract the relevant optical cable segment identifiers, computer room coordinate points and equipment attribute data from each target area unit and integrate them.

[0049] Check whether the first query information contains optical cable information and computer room information outside the query area. If not, the first query information is the target query information and the process proceeds to step 6; otherwise, the process proceeds to step 4.

[0050] Step 4: Processing incompletely covered area units

[0051] Obtain the optical cable and equipment room information in the target area units that are not fully covered. These area units partially overlap with the query area, and some of the optical cables and equipment rooms contained in them are located outside the query area.

[0052] Perform spatial clipping on cells that partially cover the target area, retaining the fiber optic cable segments and equipment rooms within the query area. Spatial clipping can simplify the fiber optic cable segments using algorithms such as the Douglas-Peucker algorithm to ensure the accuracy and completeness of the clipped segments within the query area.

[0053] Buffer analysis techniques are used to establish a tolerance zone around the query area. The width of the tolerance zone can be set based on actual needs, typically ranging from a few meters to tens of meters. Discrete features outside the tolerance zone, such as isolated equipment rooms and short fiber optic cable segments, are eliminated to improve the accuracy of query results.

[0054] Topological reconstruction corrects the geometric continuity of the cropped features, ensuring the correct spatial relationship between the fiber optic cable segments and the equipment room, and avoiding topological errors. This can be achieved through GIS topological processing tools, such as checking the connectivity and closure of line segments and making appropriate corrections.

[0055] After the above processing, the target query information is obtained and the process goes to step six.

[0056] Step 5: Process line query command

[0057] Parse the route identifier or route characteristic parameters in the route query instruction, such as the route number, the starting and ending coordinates of the route, the general direction of the route, etc.

[0058] The optical cable line topology database is used to query the identifiers of all target regional units that the line passes through. The optical cable line topology database stores the association between the line and the regional units, and the regional units that the line passes through can be quickly queried through the spatial index.

[0059] Based on the target area units that a line passes through, the corresponding coverage area is obtained. Then, based on the spatial inclusion relationship between the optical cable routing segments and the equipment rooms contained in each target area unit within the coverage area, a line-to-equipment room topology connection table is established. This table records the connection relationship between the line and the equipment room, including information such as the line's starting equipment room, its end equipment room, and any intermediate equipment rooms.

[0060] Through the above processing, the target query information is obtained and the process goes to step six.

[0061] Step 6: Return query results

[0062] The target query information is returned to the service terminal to complete the information query. The service terminal can be a web browser, mobile application, etc., and displays the query results in an intuitive way, such as marking the location of optical cables and equipment rooms on a GIS map and displaying related attribute information.

[0063] GIS-based optical cable and computer room correlation query processing system

[0064] The GIS-based optical cable and computer room association query processing system applies the above processing method, which mainly includes GIS cloud service platform, service terminal, communication module, data acquisition module and other parts.

[0065] The GIS cloud service platform is the core of the system, responsible for the storage, management, and analysis of spatial data. Its architecture uses distributed storage and microservices to improve system scalability and performance.

[0066] (1) Data storage layer: Use a distributed database to store spatial data and attribute data, such as PostgreSQL + PostGIS, to support the storage and management of massive data. At the same time, establish efficient spatial indexes and attribute indexes to improve data query efficiency.

[0067] (2) Service layer: Provides various GIS services, such as map services, spatial analysis services, data query services, etc. These services adopt microservice architecture to achieve independent deployment and expansion, improving the reliability and maintainability of the system.

[0068] (3) Application layer: Implement the core business logic of GIS-based query processing of optical cables and computer rooms, including target area division, query instruction processing, spatial analysis and other functions.

[0069] The service terminal is the interface through which users interact with the system, including web terminals and mobile terminals. Users can use the service terminal to send query commands and view query results. The service terminal has a user-friendly interface and supports map browsing, query condition setting, and result display.

[0070] The communication module is responsible for data transmission between the GIS cloud service platform and the service terminals. It uses communication protocols such as HTTP and WebSocket to ensure stable and real-time data transmission. Furthermore, data encryption ensures data security.

[0071] The data acquisition module is responsible for acquiring basic data about optical cables and equipment rooms, including spatial location and attribute data. Data sources can include GPS measurements, data collected by IoT devices, and manually entered data. The data acquisition module preprocesses and verifies the collected data to ensure its accuracy and completeness.

[0072] The data acquisition module collects basic data of optical cables and computer rooms, and transmits the data to the GIS cloud service platform for storage and management.

[0073] The user sends a query command through the service terminal, and the communication module transmits the query command to the GIS cloud service platform. The GIS cloud service platform receives the query command, interprets the command type, and invokes the corresponding processing module (region query processing module or line query processing module) based on the command type. The processing module processes the data according to the steps in the processing method to obtain the target query information. The GIS cloud service platform returns the target query information to the service terminal through the communication module. The service terminal displays the query results in an intuitive manner, allowing users to view the location and related attribute information of optical cables and equipment rooms.

[0074] Example 1: Regional query application in urban new district communication network planning

[0075] A city is planning to build a new science and technology zone covering approximately 50 square kilometers. The city needs to investigate the existing fiber optic cable resources and equipment room distribution within the area to provide data support for the new zone's communications network planning. The planning department initiated a regional query request through a service terminal, requesting information on all fiber optic cable routes and equipment room locations within the new zone's planned red line.

[0076] Specific implementation steps

[0077] The spatial coordinates of the new district planning area (longitude and latitude range: 116.5°-116.7° east longitude, 39.8°-40.0° north latitude) are obtained through the OGC standard WFS interface. The geographic attributes include basic information such as land use type and road network.

[0078] Using a gridding method, a standard regional division unit was generated with 1 square kilometer as the basic unit, resulting in a total of 52 polygonal regional units (including some overlapping boundary units). Each unit was assigned a unique ID (e.g., XQ-001 to XQ-052), and an R-tree spatial index was established.

[0079] Extract the optical cable segment data (including attributes such as GYTA-53 type 12-core optical cable and laying time 2018) and computer room data (such as XX computer room, coordinate point (116.55, 39.85), capacity 500 racks) within each regional unit from the communication resource database, and establish a spatial inclusion relationship table.

[0080] The query message sent by the service terminal contains the command type identifier (area query) and the polygon coordinate string of the planned redline. The communication module transmits data via the WebSocket protocol, and the command parsing module recognizes it as an area query command.

[0081] The ST_Intersects function of PostGIS was used to calculate the spatial intersection between the planning red line and 52 regional units, and 45 complete units (such as XQ-001 to XQ-045) that were completely contained in the red line and 7 partially overlapping units (XQ-046 to XQ-052) were screened out.

[0082] The optical cable segment identifiers (128 in total) and computer room coordinate points (17) in the above 52 units are extracted to form the first query information set.

[0083] The ST_Intersection spatial clipping operation was performed on the seven partially overlapping cells. The Douglas-Peucker algorithm (with a tolerance of 0.001 degrees) was used to simplify the fiber optic cable segments, retaining the fiber optic cable segments within the red line (approximately 85.6 kilometers in length).

[0084] A 5-meter tolerance zone is established based on the planning red line. The buffer polygon is generated through the ST_Buffer function, and the ST_Difference function is used to remove discrete features outside the tolerance zone (such as three isolated equipment points in the computer room).

[0085] The cropped optical cable network was checked using PostGIS topology tools, and three line segment breaks were corrected to ensure geometric continuity.

[0086] The processed optical cable data (121 valid line segments) and computer room data (14 main computer rooms) were integrated to generate GeoJSON format results containing spatial coordinates and attribute information.

[0087] The system is visualized on the service terminal map using WebGL technology. Optical cables are marked with different colors by model, and the capacity level of the computer room is displayed as an icon. The query takes about 2.3 seconds (the traditional method requires about 4 hours of manual integration).

[0088] Example 2: Line query application in long-distance optical cable line fault location

[0089] A provincial communications trunk line experienced a sudden outage. Maintenance personnel discovered signal anomalies on the long-distance optical cable GS-2025 between Shijiazhuang and Taiyuan. They needed to quickly locate the faulty section and associated equipment rooms to dispatch repair resources. The maintenance terminal initiated a line query request, requesting the complete route and information about the equipment rooms along the route.

[0090] Specific implementation steps

[0091] Line data analysis and regional positioning

[0092] Parse the line identifier "GS-2025" in the query instruction and query the basic parameters of the line through the optical cable line topology database: the starting point is the Shijiazhuang hub computer room (coordinates 114.487, 38.043), the end point is the Taiyuan computer room (112.559, 37.876), the total length is about 220 kilometers, and the laying method is direct burial.

[0093] Using the R-tree spatial index, the cells that intersect with the line track are searched in the target area cell sequence. Through matching using the ST_Intersects function, it is determined that the line passes through 18 area cells (such as SJZ-001 to TY-006).

[0094] The optical cable routing segment data within 18 regional units were extracted and merged into a complete line trajectory using the ST_LineMerge function, which was verified to match the GS-2025 line at a 99.7% match.

[0095] Establish a line-machine room topology connection relationship table and identify the five relay machine rooms (such as Yangquan machine room and Jinzhong machine room) that the line passes through, with the Shijiazhuang hub machine room as the starting point, the Taiyuan machine room as the end point, and the three machine rooms in the middle as signal amplification nodes.

[0096] Combined with OTDR (Optical Time Domain Reflectometer) detection data (the fault point is 156.3 kilometers away from the Shijiazhuang computer room), the ST_Length function is used in the GIS system to calculate the length of each section of the line. The fault section is located in regional unit TY-003 (coordinate range 113.21,37.75 to 113.35,37.82).

[0097] Extract the details of the optical cable in unit TY-003: This section is GYTA-53-48B1 type optical cable, buried at a depth of 1.2 meters, and passes through three rural road intersections along the way.

[0098] Based on the information of the computer room associated with the fault section, an emergency repair plan is automatically generated: the spare optical cable of the Taiyuan computer room (45 kilometers away from the fault point) is dispatched, and the Yangquan computer room is notified to prepare the optical terminal configuration.

[0099] The fault point, computer rooms along the way, and the emergency repair route are marked on the service terminal map, along with attribute information such as the equipment model and maintenance contact of each computer room. The query takes about 1.8 seconds.

Claims

1. A GIS-based optical cable and computer room association query processing method is characterized by: The steps include: Step 1: Obtain target area information, divide the target area according to standard area division units, obtain a target area unit sequence, and obtain the optical cable information and equipment room information contained in the target area units; Step 2: Obtain the query instruction sent by the service terminal and obtain the query instruction type. If it is an area query instruction, proceed to step 3; if it is a line query instruction, proceed to step 5; Step 3: Obtain the query area range in the area query instruction, obtain the target area units with the least number of overlaps with the query area range based on the query area range, and form a first query area. Obtain first query information based on the optical cable information and computer room information contained in the first query area. If the first query information does not contain optical cable information and computer room information outside the query area, the first query information is the target query information and the process proceeds to step 6; otherwise, the process proceeds to step 4. Step 4: Obtain the optical cable information and computer room information in the target area unit that is not fully covered, remove the optical cable information and computer room information outside the query area from the first query information, obtain the target query information, and proceed to step 6; Step 5: Based on the line information in the line query information, a target area unit including the line information is obtained from the target area unit sequence. Based on the target area unit including the line information, the coverage area and computer room information of the corresponding line are obtained to obtain the target query information, and then the process proceeds to step 6. Step 6: Return the target query information to the service terminal to complete the information query; The obtaining of target area information comprises dividing the target area according to standard area division units to obtain a target area unit sequence, and obtaining the optical cable information and computer room information contained in the target area units, including: The spatial coordinate range and geographic attribute information of the target area are obtained through the GIS map data interface; a preset division scale is used to generate a standard area division unit, wherein the standard area division unit is a geometric polygon area with a unique identifier; a target area unit sequence is established based on a spatial index structure, and each target area unit stores the associated optical cable segment identifier, computer room coordinate point, and equipment attribute data; and the spatial inclusion relationship between the optical cable routing segments and computer rooms contained in each target area unit is obtained.

2. The GIS-based optical cable and computer room association query processing method according to claim 1 is characterized in that: The acquisition of the query instruction sent by the service terminal to obtain the query instruction type includes: A query request message sent by a service terminal is received through a communication module, wherein the message includes an instruction type identification field; and an instruction parsing module is used to identify the query instruction type, wherein the types include: an area query instruction and a line query instruction. The area query instruction is an instruction including a spatial range parameter; and the line query instruction is an instruction including an optical cable line identifier or a routing characteristic parameter.

3. The GIS-based optical cable and computer room association query processing method according to claim 1 is characterized in that: The query area range in the obtain area query instruction is obtained, and the target area units with the least number of overlaps with the query area range are obtained according to the query area range to form a first query area, including: Obtain the intersection of the query area range and all target area units; select complete target area units that are completely contained in the query area range and target area units that partially overlap with the query area range to form a first query area.

4. The GIS-based optical cable and computer room association query processing method according to claim 1 is characterized in that: The step of obtaining the optical cable information and the computer room information in the target area unit that is not fully covered, removing the optical cable information and the computer room information outside the query area from the first query information, and obtaining the target query information, includes: A spatial clipping operation is performed on the units that partially cover the target area, retaining the optical cable segments and equipment rooms within the query area; a buffer analysis technique is used to establish a tolerance band for the query area boundary, and discrete features outside the tolerance band are eliminated. The geometric continuity of the clipped features is corrected through topological reconstruction to obtain the target query information.

5. The GIS-based optical cable and computer room association query processing method according to claim 1 is characterized in that: The method of obtaining a target area unit including the line information in the target area unit sequence according to the line information in the line query information, obtaining the coverage area and computer room information of the corresponding line according to the target area unit including the line information, and obtaining the target query information includes: Parse the line identifier or routing characteristic parameters in the line query instruction; query all target area unit identifiers passed by the line through the optical cable line topology database to obtain the line coverage area, and establish a line-computer room topology connection relationship table based on the optical cable routing segments and computer room spatial inclusion relationships contained in each target area unit within the coverage area.

6. The GIS-based optical cable and computer room association query processing system is characterized by: The GIS-based optical cable and computer room association query processing method according to any one of claims 1 to 5 is applied, comprising a GIS cloud service platform, a service terminal, a communication module, and a data acquisition module; The GIS cloud service platform, service terminal, and data acquisition module are respectively connected to the communication module for communication.

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