A method, device and medium for integrating GIS service components into cloud services

Abstract

The present invention proposes a method, device and medium for integrating GIS service components into cloud services. The method is deployed in a cloud server and includes the following steps: Step S1: constructing a knowledge graph of a communication network GIS service system based on GIS service system data; wherein the GIS service system data includes GIS information of different dimensions, namely, at least one of RTU optical cable monitoring data, historical operation data, network node equipment ledger information, optical cable ledger information, meteorological information, and human environment information; Step S2: constructing a knowledge graph of a professional knowledge base; Step S3: fusing the knowledge graph with a large model to obtain an intelligent cloud service system for optical cable operation and maintenance management, thereby improving the convenience of operation and maintenance management personnel for communication network optical cable operation and maintenance management, as well as the operation and maintenance management efficiency and the quality of management decisions.

Description

Technical Field

[0001] The present invention belongs to the field of intelligent cloud service technology, and in particular, relates to a method, device and medium for integrating GIS service components into cloud services. Background Art

[0002] With the rapid development of information technology, especially the emergence of new services such as Internet+, 5G, 4K / 8K, and VR, the scale of communication networks has grown exponentially, placing higher demands on basic optical networks. As the physical layer medium of the communication network, the stability and reliability of optical cables have a decisive impact on network quality. However, optical cable failures not only affect communication quality, but may also cause economic losses. Therefore, it is particularly important to establish a complete communication optical cable operation and maintenance management system.

[0003] Traditional optical cable operation and maintenance management relies on manual inspection and fault response, which is inefficient and difficult to cope with complex and changing network environments. In order to improve the intelligent level of network operation and maintenance, new technical means need to be introduced. GIS (Geographic Information System) is a spatial information system that collects, stores, manages, calculates, analyzes, displays and describes relevant geographical distribution data on the entire or part of the earth's surface space with the support of computer hardware and software systems. Therefore, it is of great significance to study the online intelligent operation and maintenance management system of communication network optical cables integrated with GIS services. Summary of the invention

[0004] The present invention proposes a method, device and medium for integrating GIS service components into cloud services, which are used to realize online intelligent operation and maintenance control of communication network optical cables integrating GIS services.

[0005] The present invention provides a method for integrating GIS service components into cloud services, wherein the method is deployed in a cloud server and comprises the following steps:

[0006] Step S1: construct a knowledge graph of the communication network GIS service system based on the GIS service system data;

[0007] The GIS service system data includes GIS information of different dimensions, namely, at least one of RTU optical cable monitoring data, historical operation data, network node equipment ledger information, optical cable ledger information, meteorological information, and human environment information;

[0008] Step S2: Constructing a knowledge graph of professional knowledge base;

[0009] The professional knowledge base includes at least one of a plan base, an expert experience base and a business rule base;

[0010] Step S3: Fuse the knowledge graph with the big model to obtain an intelligent cloud service system for optical cable operation and maintenance management.

[0011] Preferably, step S3 comprises:

[0012] Step S310: performing data retrieval in the knowledge graph database according to the original query submitted by the user;

[0013] Step S320: Convert the retrieved data into a context in the form of natural language text, concatenate the original query with the generated context, and input them into the big model as a coherent prompt. The big model generates the final answer based on this prompt.

[0014] Preferably, the step S1: constructing a communication network GIS service system knowledge graph based on GIS service system data, includes: constructing sub-graphs of GIS information of different dimensions, namely, at least one of the RTU optical cable monitoring data sub-graph, the historical operation data sub-graph, the network node equipment inventory information sub-graph, the optical cable inventory information sub-graph, the meteorological information sub-graph and the human environment information sub-graph.

[0015] Preferably, the step S2: constructing a professional knowledge base knowledge graph includes: constructing at least one of a plan library sub-graph, an expert experience library sub-graph and a business rule library sub-graph.

[0016] Preferably, before step S3, it also includes: encapsulating each sub-graph into an independent sub-graph component, selecting different sub-graph component combinations according to the current operation and maintenance control mode, and obtaining the selected knowledge graph.

[0017] Preferably, the operation and maintenance control mode includes but is not limited to at least one of a hardware troubleshooting mode, a panoramic troubleshooting mode, and an optical cable daily inspection mode.

[0018] Preferably, the hardware troubleshooting mode corresponds to a sub-map component related to hardware, including an RTU optical cable monitoring data sub-map component, a historical operation data sub-map component, a network node equipment ledger information sub-map component, an optical cable ledger information sub-map component, and a plan library sub-map component, an expert experience library sub-map component, and a business rule library sub-map component;

[0019] And / or, the panoramic troubleshooting mode includes RTU optical cable monitoring data sub-map component, historical operation data sub-map component, network node equipment ledger information sub-map component, optical cable ledger information sub-map component, meteorological information sub-map component and human environment information sub-map component, as well as plan library sub-map component, expert experience library sub-map component and business rule library sub-map component;

[0020] And / or, the daily inspection mode of optical cables includes RTU optical cable monitoring data sub-map component, network node equipment inventory information sub-map component, optical cable inventory information sub-map component, and business rule library sub-map component.

[0021] Preferably, the step S1: constructing a knowledge graph of a communication network GIS service system based on GIS service system data comprises:

[0022] In the knowledge graph database of the communication network GIS service system, several communication network node "entity" objects are constructed; based on the communication network node "entity" objects, grid space "entity" objects are created; wherein each grid space "entity" object corresponds to a grid space "entity" in the knowledge graph of the communication network GIS service system;

[0023] Referring to the "adjacent", "subordinate" and "inclusive" relationships of communication network nodes, the "adjacent", "subordinate" and "inclusive" relationships between "entity" objects in grid space are constructed;

[0024] Extract the geographic spatial locations of grid space "entity" objects and communication network node "entity" objects, conduct GIS geographic spatial relationship analysis, and establish the subordinate "relationship" between grid space "entity" objects and communication network node "entity" objects;

[0025] Based on the correspondence between GIS geographic spaces, GIS information "entity" objects of different dimensions are mapped to the existing grid space respectively, and the spatial subordinate "relationship" between the "entity" objects and the grid space "entities" is established to obtain the knowledge graph of the communication network GIS service system.

[0026] The present invention further provides an electronic device, comprising: a memory and a processor, wherein the memory stores computer program instructions, and when the computer program instructions are read and run by the processor, the above method is executed.

[0027] The present invention also provides a computer-readable storage medium, on which computer program instructions are stored. When the computer program instructions are read and executed by a processor, the above method is executed.

[0028] The beneficial effects of the present invention are that, compared with the prior art, the present invention has the following advantages:

[0029] 1. The present invention integrates GIS service components, professional knowledge base and big model in cloud service, and adopts knowledge fusion method based on big model to build intelligent cloud service system for optical cable operation and maintenance management. It realizes effective fusion of multi-source data, breaks through the data barriers between different systems, and realizes data integration sharing and business collaboration.

[0030] In addition, the knowledge fusion method based on the big model greatly enhances the performance of the big model in various tasks by integrating the big model with the external knowledge base. When applied to the operation and maintenance management of communication network optical cables, through the intelligent analysis capability of the big model, combined with GIS services and professional knowledge bases, the daily operation and maintenance monitoring of communication network optical cables and the early warning, analysis, and decision-making of faults can be realized through intelligent question and answer, which improves the convenience of operation and maintenance management personnel for the operation and maintenance management of communication network optical cables, reduces the learning cost of new technologies and daily repetitive work of operation and maintenance management personnel, and significantly improves the efficiency of operation and maintenance management and the quality of management decisions.

[0031] 2. By setting up several different operation and maintenance control modes, the operation and maintenance management personnel can dynamically select the applicable operation and maintenance control mode according to the current operation and maintenance management status. This design method provides a flexible operation and maintenance control solution that can cope with different operation and maintenance control scenarios and problem types; and because different operation and maintenance control modes correspond to different sub-graph component combinations, the sub-graph components are encapsulated by various sub-graphs, so that the system does not need to modify the core architecture or redevelop functions; in addition, by selecting different operation and maintenance control modes, the operation and maintenance personnel can simplify the description of the original query problem without adding additional conditional descriptions in the initial query problem. BRIEF DESCRIPTION OF THE DRAWINGS

[0032] The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate embodiments consistent with the invention and, together with the description, serve to explain the principles of the invention.

[0033] Figure 1 It is a flowchart of a method for integrating GIS service components into cloud services provided by an embodiment of the present invention.

[0034] Figure 2 It is a schematic diagram of the workflow of the large model-based knowledge fusion method provided in an embodiment of the present invention.

[0035] The above drawings have shown clear embodiments of the present invention, which will be described in more detail below. These drawings and text descriptions are not intended to limit the scope of the present invention in any way, but to illustrate the concept of the present invention for those skilled in the art by referring to specific embodiments. DETAILED DESCRIPTION

[0036] The present invention will be further described below in conjunction with the accompanying drawings. The following embodiments are only used to more clearly illustrate the technical solution of the present invention, and cannot be used to limit the protection scope of the present invention.

[0037] like Figure 1As shown, an embodiment of the present invention provides a method for integrating GIS service components into cloud services, extending GIS geographic information service capabilities based on cloud computing technology, integrating GIS service components into cloud services, and building an intelligent cloud service system for optical cable operation, maintenance and control.

[0038] In this embodiment, the cloud server can be an online cloud server deployed on a cloud platform, or it can be deployed on any server in a home intranet. It can also be a cloud server that can provide basic cloud computing services such as cloud services, cloud databases, cloud computing, cloud communications, and big data and artificial intelligence platforms.

[0039] like Figure 1 As shown, the method is deployed in a cloud server and includes the following steps:

[0040] Step S1: Construct a knowledge graph of the communication network GIS service system based on the GIS service system data.

[0041] The present invention adopts ArcGIS secondary development technology to realize the functions of calling, browsing and information inputting geographic information data. Among them, the GIS service system data includes at least one of RTU optical cable monitoring data, historical operation data, network node equipment account information, optical cable account information, meteorological information, and human environment information.

[0042] RTU (Remote Terminal Unit) is a key device. It is responsible for real-time monitoring and testing of optical cable lines, and can promptly detect optical cable degradation and faults, and accurately locate faults. RTU usually has the following functions:

[0043] (1) Data collection: RTU can collect various parameters of the optical cable, such as optical power, fiber attenuation, connector loss, etc., and send these data to the monitoring center.

[0044] (2) Remote control: RTU can receive instructions from the monitoring center and remotely control the optical cable line, such as switching optical cables and starting tests.

[0045] (3) Fault monitoring and location: RTU uses OTDR (optical time domain reflectometry) technology to monitor the entire status of the optical fiber and accurately locate the optical fiber fault point.

[0046] Among them, RTU optical cable monitoring data includes optical power monitoring data and OTDR (optical time domain reflectometry) test data; historical operation data includes replacement and maintenance records of optical cables on a daily basis or in case of failure.

[0047] Equipment inventory information includes equipment name, type and specifications; optical cable inventory information includes optical cable name and number, type, length, path, laying method, etc.

[0048] Meteorological information includes actual weather conditions and forecast information such as temperature, precipitation, wind speed and wind direction, and actual weather conditions and warning information on extreme meteorological disasters such as heavy rain, strong winds, tornadoes, hail, and mudslides.

[0049] Human environment information includes information on human activities such as road construction, building construction, and road accidents that may affect the safety of optical cables.

[0050] Therefore, by collecting multi-dimensional GIS service system data, the safety status of the optical cable can be fully and truly reflected.

[0051] The workflow for establishing the knowledge graph of the communication network GIS service system is as follows:

[0052] First, in the knowledge graph database, several communication network node "entity" objects are constructed; among them, the communication network nodes include computer rooms and relay stations at all levels.

[0053] Secondly, in the knowledge graph database, a grid space "entity" object is created based on the communication network node "entity" object; wherein each grid space "entity" object corresponds to a grid space "entity" in the knowledge graph, and an ID value is assigned to each independent grid space "entity" according to its position in the grid space.

[0054] Referring to the "adjacent", "subordinate" and "inclusive" relationships of communication network nodes, the "adjacent", "subordinate" and "inclusive" relationships between "entity" objects in the grid space are constructed.

[0055] For example, for a provincial communication network, it includes provincial, municipal, and county communication room nodes and relay stations between each room node. The county communication room node is "subordinate" to the municipal communication room node, and the municipal communication room node is "subordinate" to the provincial communication room node. The relay stations between each room node are "included" in the room node, and the adjacent relay stations and the communication room nodes at the same level are established as "adjacent" relationships.

[0056] Next, the geographic spatial locations of the grid space "entity" objects and the communication network node "entity" objects are extracted, and a GIS geographic spatial relationship analysis is performed to establish a subordinate "relationship" between the grid space "entity" objects and the communication network node "entity" objects; if these two types of "entities" have a subordinate relationship, a subordinate "relationship" will be established for the relevant "entities" in the knowledge graph database; the current operation is repeated until the creation of the subordinate "relationship" between the relevant "entities" is completed in the knowledge graph database, and a knowledge graph data model including different entity spatial relationships is obtained;

[0057] Finally, based on the GIS geographic space correspondence, the RTU optical cable monitoring data, historical operation data, network node equipment inventory information, optical cable inventory information, meteorological information, cultural environment information and other "entity" objects are mapped to the existing grid space respectively, and the spatial subordinate "relationship" between the above-mentioned "entity" objects and the grid space "entity" is established, so as to obtain the GIS service system knowledge graph, wherein the GIS service system knowledge graph includes multiple sub-graphs of GIS information of different dimensions, for example, the RTU optical cable monitoring data sub-graph, the historical operation data sub-graph, the network node equipment inventory information sub-graph, the optical cable inventory information sub-graph, the meteorological information sub-graph and the cultural environment information sub-graph.

[0058] This solution uses the above method to map the multidimensional data related to network nodes into a GIS service system, and performs geospatial correlation data retrieval and analysis based on the relationship between the grid space "entities" of these spatiotemporal event data in the knowledge graph of the GIS service system, thereby improving the efficiency of data retrieval and analysis.

[0059] Step S2: Construct a knowledge graph of professional knowledge base.

[0060] Among them, the professional knowledge base includes at least one of the plan base, expert experience base and business rule base. The plan base includes daily operation and maintenance plans, emergency rescue plans, project scheduling plans, etc. The expert experience base includes daily operation and maintenance processing experience, historical emergency fault processing experience, project scheduling experience, etc. The business rule base mainly includes business laws and regulations, rules and regulations, technical standards, etc. Through the processing of business documents, a set of structured rule sets that can be combined and applied are formed to support the rule adaptation of business scenarios, respond to the ever-changing rule requirements, and standardize and constrain the management behavior of optical cable operation and maintenance.

[0061] A professional knowledge base knowledge graph is constructed based on the professional knowledge base, including at least one of a plan base sub-graph, an expert experience base sub-graph, and a business rule base sub-graph. The method for constructing the knowledge graph can adopt existing technologies, and this embodiment does not specifically limit this.

[0062] It is understandable that in order to ensure the effectiveness of data analysis, the aforementioned knowledge graph needs to be updated in a timely manner, and the updated rules can update the knowledge graph data model based on the relevant positions of the "entity" objects.

[0063] Step S3: Fuse the knowledge graph with the big model to obtain an intelligent cloud service system for optical cable operation and maintenance management.

[0064] Compared with traditional applications, large models driving this knowledge have significant advantages, because the large model itself has learned a large amount of text data, thus having stronger context understanding capabilities and being able to understand user questions more accurately. The knowledge fusion method based on large models enhances the performance of large models on various tasks by fusing large models with external knowledge bases.

[0065] Figure 2 shows the workflow of the knowledge fusion method based on the big model. When the user asks a question to the big model, the most relevant knowledge to the question is recalled through efficient retrieval methods, and then this knowledge is injected into the prompt in the form of context. The big model generates the corresponding answer based on the prompt. The so-called prompt engineering refers to the design and adjustment of input prompts when using the big model for natural language processing tasks to guide the big model to generate the expected output text.

[0066] In practical applications, different large language models can be selected according to needs, such as GPT, Llama, ChatGLM, etc.

[0067] Wherein, the step S3 comprises:

[0068] Step S310: Perform data retrieval in the knowledge graph database based on the original query submitted by the user.

[0069] like Figure 2 As shown in the figure, when a user submits a question, the question is vectorized and encoded through embedding, and then information related to the current task is retrieved from the knowledge graph database. Based on the retrieved entities and relationships, a current task information subgraph is constructed. This subgraph contains the most relevant information to the query. The subgraph shows the relationship between entities in a graph structure. Among them, similarity retrieval can be used, for example.

[0070] Step S320: Convert the retrieved data into a context in the form of natural language text, concatenate the original query with the generated context, and input them into the big model as a coherent prompt. The big model generates the final answer based on this prompt.

[0071] Specifically, the big model is used to convert the current task information subgraph into a context in the form of natural language text. This context contains detailed information about the query, which comes from the entities and relationships retrieved from the knowledge graph. Finally, the original query is spliced ​​with the generated context and input into the big model as a coherent prompt. The big model generates the final answer based on this prompt and displays it visually in the intelligent cloud service system for optical cable operation and maintenance management.

[0072] Understandably, when the user asks the big model a question about the early warning standards in the optical cable operation and maintenance control plan, the big model cannot directly give an accurate answer due to its pre-training data. However, the knowledge fusion method based on the big model fills this knowledge gap by retrieving relevant documents from the external knowledge base. It combines the retrieved relevant content and the user's initial question into a prompt, thereby guiding the big model to give a more satisfactory answer based on this prompt. This method effectively utilizes the information in the external knowledge base and improves the big model's ability to answer tasks in specific fields.

[0073] Further optionally, before step S3, it also includes: encapsulating each sub-graph into an independent sub-graph component, selecting different sub-graph component combinations according to the current operation and maintenance control mode, and obtaining the selected knowledge graph.

[0074] In the design and implementation of the intelligent cloud service system for optical cable operation and maintenance control, in order to enhance the flexibility and functionality of the system, especially to meet the intelligent analysis of different operation and maintenance control needs, several different operation and maintenance control modes are set. Different operation and maintenance control modes correspond to different sub-graph component combinations, and the sub-graph components are encapsulated by various sub-graphs. Among them, the operation and maintenance control modes include but are not limited to hardware troubleshooting mode, panoramic troubleshooting mode, optical cable daily inspection mode, etc.

[0075] Specifically, in the user interface of the optical cable operation and maintenance control intelligent cloud service system, a visual operation and maintenance control mode selection menu is provided, allowing operation and maintenance management personnel to select the required operation and maintenance control mode according to actual control needs.

[0076] Each sub-graph component corresponds to a sub-graph, including but not limited to RTU optical cable monitoring data sub-graph, historical operation data sub-graph, network node equipment inventory information sub-graph, optical cable inventory information sub-graph, meteorological information sub-graph and human environment information sub-graph, as well as plan library sub-graph, expert experience library sub-graph and business rule library sub-graph.

[0077] Operation and maintenance managers can choose different operation and maintenance control modes, that is, dynamically call different sub-graph data and large models for knowledge integration.

[0078] For example, the hardware troubleshooting mode corresponds to the hardware-related sub-graph components, such as RTU optical cable monitoring data, historical operation data, network node equipment ledger information, optical cable ledger information, as well as the plan library, expert experience library and business rule library, that is, there is no need to combine meteorological information and human environment information;

[0079] The panoramic troubleshooting mode further adds meteorological information and human environment information sub-map components based on the hardware troubleshooting mode;

[0080] The daily inspection mode of optical cables includes RTU optical cable monitoring data sub-map component, network node equipment inventory information sub-map component, optical cable inventory information sub-map component, and business rule library sub-map component.

[0081] As an example scenario of this instance, the operation and maintenance personnel select the hardware troubleshooting mode in the user interface, which corresponds to the hardware-related sub-graph components, such as RTU optical cable monitoring data, historical operation data, network node equipment ledger information, optical cable ledger information, as well as the plan library, expert experience library and business rule library;

[0082] In this mode, for a cable break failure between two nodes in a communication network, the operation and maintenance manager submits the original query question: "Please analyze the cause of the cable break failure between nodes AB". At this time, the system only analyzes the hardware failure.

[0083] If the panoramic troubleshooting mode is selected in the user interface, this mode will further add the integration of meteorological information and human environment information sub-maps based on the hardware troubleshooting mode.

[0084] In this mode, for a cable break failure between two nodes in a communication network, the operation and maintenance manager submits the original query question: "Please analyze the cause of the cable break failure between nodes AB". At this time, the system will analyze the comprehensive causes of the cable break failure.

[0085] Alternatively, if the daily inspection mode of optical cables is selected in the user interface, the mode corresponds to the RTU optical cable monitoring data sub-map component, the network node equipment ledger information sub-map component, the optical cable ledger information sub-map component, and the business rule library sub-map component. In this mode, operation and maintenance personnel can obtain, for example, the health evaluation of the optical cables between the nodes of the communication network.

[0086] It can be seen that in this embodiment, by setting a number of different operation and maintenance control modes, the operation and maintenance management personnel can dynamically select the applicable operation and maintenance control mode according to the current operation and maintenance management status (such as daily inspections, troubleshooting, etc.). This design method provides a flexible operation and maintenance control solution that can cope with different operation and maintenance control scenarios and problem types;

[0087] Since different operation and maintenance control modes correspond to different combinations of sub-graph components, and the sub-graph components are encapsulated by various sub-graphs, the system does not need to modify the core architecture or redevelop functions, and the system's service modularization makes it more scalable and adaptable. In addition, by selecting different operation and maintenance control modes, operation and maintenance personnel can simplify the description of the original query problem without adding additional conditional descriptions in the statement of the initial query problem.

[0088] An embodiment of the present invention further provides an electronic device, which may include one or more processors of processing cores, one or more computer-readable storage media memories, communication components, etc. The processor, memory, and communication components are connected via a bus.

[0089] In a specific implementation process, at least one processor executes computer-executable instructions stored in a memory, so that at least one processor executes the method as described above.

[0090] The processor may be a central processing unit (CPU), other general-purpose processors, digital signal processors (DSP), application-specific integrated circuits (ASIC), etc. A general-purpose processor may be a microprocessor or any conventional processor. The steps of the method disclosed in the invention may be directly implemented by a hardware processor or implemented by a combination of hardware and software modules in the processor.

[0091] The memory may include a high-speed memory (Random Access Memory, RAM), and may also include a non-volatile memory (NVM), such as at least one disk storage.

[0092] The bus can be an Industry Standard Architecture (ISA) bus, a Peripheral Component Interconnect (PCI) bus, or an Extended Industry Standard Architecture (EISA) bus, etc. The bus can be divided into an address bus, a data bus, a control bus, etc.

[0093] An embodiment of the present invention further provides a computer-readable storage medium on which computer program instructions are stored. When these computer program instructions are read and executed by a processor, the method for integrating GIS service components into cloud services provided by an embodiment of the present invention is executed.

[0094] The storage medium may include: a read-only memory (ROM), a random access memory (RAM), a magnetic disk or an optical disk, etc.

[0095] In the above embodiments, the description of each embodiment has its own emphasis. For the part not described in detail in a certain embodiment, please refer to the relevant description of other embodiments. The technical features of the above embodiments can be combined arbitrarily. In order to make the description concise, all possible combinations of the technical features in the above embodiments are not described. However, as long as there is no contradiction in the combination of these technical features, they should be considered to be within the scope of this specification.

[0096] Those skilled in the art will readily appreciate other embodiments of the present invention after considering the specification and practicing the invention disclosed herein. The present invention is intended to cover any variations, uses or adaptations of the present invention that follow the general principles of the present invention and include common knowledge or customary techniques in the art that are not disclosed by the present invention. The description and examples are to be considered exemplary only, and the true scope and spirit of the present invention is indicated by the following claims.

[0097] It should be understood that the present invention is not limited to the exact construction that has been described above and shown in the drawings, and that various modifications and changes may be made without departing from the scope thereof. The scope of the present invention is limited only by the appended claims.

Claims

1. A method for integrating GIS service components into cloud services, characterized in that: The method is deployed in a cloud server and includes the following steps: Step S1: construct a knowledge graph of the communication network GIS service system based on the GIS service system data; The GIS service system data includes GIS information of different dimensions, namely, at least one of RTU optical cable monitoring data, historical operation data, network node equipment ledger information, optical cable ledger information, meteorological information, and human environment information; Step S2: Constructing a knowledge graph of professional knowledge base; The professional knowledge base includes at least one of a plan base, an expert experience base and a business rule base; Step S3: Fusing the knowledge graph with the big model to obtain an intelligent cloud service system for optical cable operation and maintenance management; The step S1: constructing a knowledge graph of the communication network GIS service system based on the GIS service system data, including: constructing sub-graphs of GIS information of different dimensions, namely, at least one of the RTU optical cable monitoring data sub-graph, the historical operation data sub-graph, the network node equipment ledger information sub-graph, the optical cable ledger information sub-graph, the meteorological information sub-graph, and the human environment information sub-graph; The step S2: constructing a knowledge graph of a professional knowledge base, including: constructing at least one of a plan base sub-graph, an expert experience base sub-graph, and a business rule base sub-graph; Before step S3, it also includes: encapsulating each sub-graph into an independent sub-graph component, selecting different sub-graph component combinations according to the current operation and maintenance control mode, and obtaining the selected knowledge graph.

2. A method for integrating GIS service components into cloud services according to claim 1, characterized in that: The step S3 comprises: Step S310: performing data retrieval in the knowledge graph database according to the original query submitted by the user; Step S320: Convert the retrieved data into a context in the form of natural language text, concatenate the original query with the generated context, and input them into the big model as a coherent prompt. The big model generates the final answer based on this prompt.

3. A method for integrating GIS service components into cloud services according to claim 1, characterized in that: The operation and maintenance control mode includes but is not limited to at least one of a hardware troubleshooting mode, a panoramic troubleshooting mode, and an optical cable daily inspection mode.

4. A method for integrating GIS service components into cloud services according to claim 3, characterized in that: The hardware troubleshooting mode corresponds to the sub-map components related to the hardware, including the RTU optical cable monitoring data sub-map component, the historical operation data sub-map component, the network node equipment ledger information sub-map component, the optical cable ledger information sub-map component, as well as the plan library sub-map component, the expert experience library sub-map component and the business rule library sub-map component; And / or, the panoramic troubleshooting mode includes RTU optical cable monitoring data sub-map component, historical operation data sub-map component, network node equipment ledger information sub-map component, optical cable ledger information sub-map component, meteorological information sub-map component and human environment information sub-map component, as well as plan library sub-map component, expert experience library sub-map component and business rule library sub-map component; And / or, the daily inspection mode of optical cables includes RTU optical cable monitoring data sub-map component, network node equipment inventory information sub-map component, optical cable inventory information sub-map component, and business rule library sub-map component.

5. A method for integrating GIS service components into cloud services according to claim 1, characterized in that: The step S1: constructing a knowledge graph of the communication network GIS service system based on the GIS service system data, comprises: In the knowledge graph database of the communication network GIS service system, several communication network node "entity" objects are constructed; based on the communication network node "entity" objects, grid space "entity" objects are created; wherein each grid space "entity" object corresponds to a grid space "entity" in the knowledge graph of the communication network GIS service system; Referring to the "adjacent", "subordinate" and "inclusive" relationships of communication network nodes, the "adjacent", "subordinate" and "inclusive" relationships between "entity" objects in the grid space are constructed; Extract the geographic spatial locations of grid space "entity" objects and communication network node "entity" objects, conduct GIS geographic spatial relationship analysis, and establish the subordinate "relationship" between grid space "entity" objects and communication network node "entity" objects; Based on the corresponding relationship of GIS geographic space, the "entity" objects of GIS information of different dimensions are mapped to the existing grid space respectively, and the spatial subordinate "relationship" between the "entity" objects and the "entity" of the grid space is established to obtain the knowledge graph of the communication network GIS service system.

6. An electronic device, characterized in that: include: A memory and a processor, wherein the memory stores computer program instructions, and when the computer program instructions are read and executed by the processor, the method according to any one of claims 1 to 5 is executed.

7. A computer-readable storage medium, characterized in that: The computer-readable storage medium stores computer program instructions, and when the computer program instructions are read and executed by a processor, the method according to any one of claims 1 to 5 is executed.

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