CN115883386B - Dynamic generation method, device and storage medium of network topology graph - Google Patents
Dynamic generation method, device and storage medium of network topology graph Download PDFInfo
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Abstract
The application provides a method, equipment and storage medium for dynamically generating a network topological graph, wherein the method comprises the following steps: acquiring a data source of an office system or intelligent equipment in the current Internet of things, and configuring a topological structure of the office system and corresponding functional nodes in the simulation network based on the data source; setting a network level of a topological structure in a simulation network, and carrying out network level distribution and authentication on the functional nodes; screening data related to topological structure change from the data source, sequentially analyzing data messages, analyzing topological relations contained in the data, and generating dynamic topological information; and generating a dynamic topological graph of the office system in the simulation network according to the dynamic topological information. The method and the device update the dynamic topological graph of the simulation network in real time, and are convenient for quickly determining the problem of the intelligent equipment.
Description
Technical Field
The present invention relates to the field of computer technologies, and in particular, to a method, an apparatus, and a storage medium for dynamically generating a network topology map.
Background
The method has the characteristics of numerous protocols, various network forms, complex working environment, variable network topology and the like aiming at network topology analysis. The network topology and its variations reflect the inherent relationships of the network, stability and communication quality. Whether in the stage of formulating a network protocol, researching, deploying and operating a network product, the change of the network topology of the whole network can be mastered accurately and comprehensively in real time under the condition that the self behavior of the network is not influenced, and the network topology is very important for research personnel and technicians.
In practical application, in a large-scale internet of things or office system, due to the fact that data or intelligent devices in the internet of things or office system are numerous, dynamic changes are difficult to comprehensively update the dynamic changes of network topology when the dynamic changes occur. If a certain node has a problem or feedback in the application process, the problem needs to be checked, and the problem is difficult to find quickly.
Disclosure of Invention
In order to solve the above problems, embodiments of the present application provide a method, an apparatus, and a storage medium for dynamically generating a network topology map, which update a dynamic topology map of a simulation network in real time, so as to facilitate quick determination of where a problem of an intelligent device is located.
For this reason, in one aspect of the present application, a method for dynamically generating a network topology map is provided, where the method is applied to an internet of things or an office system, and the method includes the following steps:
acquiring a data source of an office system or intelligent equipment in the current Internet of things, and configuring a topological structure of the office system and corresponding functional nodes in the simulation network based on the data source;
setting a network level of a topological structure in a simulation network, and carrying out network level distribution and authentication on the functional nodes;
screening data related to topological structure change from the data source, sequentially analyzing data messages, analyzing topological relations contained in the data, and generating dynamic topological information;
and generating a dynamic topological graph of the simulation network according to the dynamic topological information.
Optionally, in combination with any one of the foregoing aspects, in another implementation manner of the present aspect, the acquiring data sources of all current internet of things or office systems and intelligent devices, specifically,
creating a database of intelligent equipment in the Internet of things or at least one office system, and initializing the data of the Internet of things or the office system and the intelligent equipment; the database comprises a plurality of sub-databases, and each sub-database corresponds to intelligent equipment contained in one functional node;
acquiring data information of intelligent equipment corresponding to the Internet of things or at least one office system in real time; the data information comprises a data type, an intelligent device name, a task serial number and an acquisition period.
Optionally, in combination with any one of the foregoing aspects, in another implementation manner of the present aspect, the data related to the topology change is screened out from the data source, the data packets are sequentially parsed, the topology relationship contained in the data is analyzed, and dynamic topology information is generated, specifically,
acquiring data information of the data source, and analyzing the data message from the data information to obtain source equipment, data type, task serial number, acquisition period and target equipment of the data message;
judging whether the data type is related to the topological structure change, and generating dynamic topological information when the data type is related to the topological structure change.
Optionally, with reference to any one of the foregoing aspects, in another implementation manner of the present aspect, the data type includes association, change, offline, online, and when the data type is association, change, offline, the data type is related to the topology change; when the data types are associated, generating a topological connection relation according to the target equipment, the task serial number and the source equipment in the data information by the dynamic topological information; when the data type is changed, generating a topology change relation according to target equipment, a task serial number and source equipment in the data information by the dynamic topology information; and when the data type is offline, generating a topology deduction relation for the source equipment according to the task serial number in the data information by the dynamic topology information.
Optionally, with reference to any one of the foregoing aspects, in another implementation manner of this aspect, the generating a dynamic topology map of the simulation network according to the dynamic topology information specifically includes:
constructing a primary topological graph according to a topological structure and functional nodes in the simulation network;
judging whether intelligent devices which are connected in the same way exist in the primary topological graph and the dynamic topological information or not according to the primary topological graph and the dynamic topological information; when the same connected intelligent equipment exists, a first topological graph based on the intelligent equipment is generated according to the functional nodes and the dynamic topological information, layering is carried out based on the intelligent equipment and the functional nodes, and a dynamic topological graph of the simulation network is generated.
Optionally, with reference to any one of the foregoing aspects, in another implementation manner of this aspect, the primary topology map is configured to determine, based on the connection relationships of the data source and all intelligent devices, a topology connection relationship centered on the data source, so as to set a first hierarchy; and setting the network levels of the second hierarchy and the third hierarchy according to the number or the weight of the data sources in descending order.
Optionally, in combination with any one of the foregoing aspects, in another implementation manner of the present aspect, the screening data related to the topology change from the data source sequentially analyzes the data packet, analyzes a topology relationship included in the data, generates dynamic topology information, and further includes,
judging whether the information of insufficient bandwidth and insufficient flow exists in the data message, and when the information exists, calculating the weight of equipment to be connected with the intelligent equipment, and generating dynamic topology information according to the weight.
Optionally, in combination with any one of the foregoing aspects, in another implementation manner of the present aspect, the smart device includes a gateway and a server inside the internet of things, and an intelligent terminal disposed in the internet of things or an office system and connected to the gateway or the server.
In another aspect of the present application, an electronic device is provided, which includes a processor, a memory, and a computer program stored on the memory and executable on the processor, where the processor implements a network topology map dynamic generation method as described in any one of the above when executing the computer program.
In another aspect of the present application, there is provided a storage medium having stored thereon a computer program which, when executed, implements a network topology dynamic generation method as described in any of the above.
As described above, the present application provides a method, an apparatus, and a storage medium for dynamically generating a network topology map, where the method, the apparatus, and the storage medium acquire data sources of an internet of things or an office system and an intelligent device, configure a topology structure of a simulation network based on the data sources, screen data related to a topology structure change from the data sources, analyze a topology relationship contained in the data, generate dynamic topology information, and generate a dynamic topology map of the simulation network according to the dynamic topology information. According to the method and the device, the dynamic topological graph is generated in real time according to the data source, and the dynamic topological graph of the simulation network is updated in real time, so that the problem of the intelligent equipment can be determined quickly.
The above summary is provided to introduce a selection of concepts in a simplified form that are further described below in the detailed description. The above summary is not intended to identify key features or essential features of the claimed subject matter, nor is it intended to be used as an aid in determining the scope of the claimed subject matter. The claimed subject matter is not limited to implementations that solve any or all disadvantages noted in the background.
Drawings
The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate embodiments consistent with the application and together with the description, serve to explain the principles of the application. In order to more clearly illustrate the technical solutions of the embodiments of the present application, the drawings that are needed in the description of the embodiments will be briefly described below, and it will be obvious to those skilled in the art that other drawings can be obtained from these drawings without inventive effort. These drawings and the written description are not intended to limit the scope of the inventive concepts in any way, but to illustrate the concepts of the present application to those skilled in the art by reference to specific embodiments.
Fig. 1 is a schematic flow chart of a dynamic generation method of a network topology graph provided in the present application;
fig. 2 is a schematic flow chart of step S1 in a method for dynamically generating a network topology map provided in the present application;
fig. 3 is a schematic flow chart of step S3 in a method for dynamically generating a network topology provided in the present application;
fig. 4 is a schematic flow chart of step S4 in the method for dynamically generating a network topology provided in the present application.
Detailed Description
Reference will now be made in detail to exemplary embodiments, examples of which are illustrated in the accompanying drawings. When the following description refers to the accompanying drawings, the same numbers in different drawings refer to the same or similar elements, unless otherwise indicated. The implementations described in the following exemplary examples are not representative of all implementations consistent with the present application. Rather, they are merely examples of apparatus and methods consistent with some aspects of the present application as detailed in the accompanying claims.
It should be noted that, in this document, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, the element defined by the phrase "comprising one … …" does not exclude the presence of other identical elements in a process, method, article, or apparatus that comprises the element, and furthermore, elements having the same name in different embodiments of the present application may have the same meaning or may have different meanings, a particular meaning of which is to be determined by its interpretation in this particular embodiment or by further combining the context of this particular embodiment.
It should be understood that although the terms first, second, third, etc. may be used herein to describe various information, these information should not be limited by these terms. These terms are only used to distinguish one type of information from another. For example, first information may also be referred to as second information, and similarly, second information may also be referred to as first information, without departing from the scope herein. The word "if" as used herein may be interpreted as "at … …" or "at … …" or "responsive to a determination", depending on the context. Furthermore, as used herein, the singular forms "a", "an" and "the" are intended to include the plural forms as well, unless the context indicates otherwise. It will be further understood that the terms "comprises," "comprising," "includes," and/or "including" specify the presence of stated features, steps, operations, elements, components, items, categories, and/or groups, but do not preclude the presence, presence or addition of one or more other features, steps, operations, elements, components, items, categories, and/or groups. The terms "or," "and/or," "including at least one of," and the like, as used herein, may be construed as inclusive, or meaning any one or any combination. An exception to this definition will occur only when a combination of elements, functions, steps or operations are in some way inherently mutually exclusive.
It should be understood that, although the steps in the flowcharts in the embodiments of the present application are shown in order as indicated by the arrows, these steps are not necessarily performed in order as indicated by the arrows. The steps are not strictly limited in order and may be performed in other orders, unless explicitly stated herein. Moreover, at least some of the steps in the figures may include multiple sub-steps or stages that are not necessarily performed at the same time, but may be performed at different times, the order of their execution not necessarily occurring in sequence, but may be performed alternately or alternately with other steps or at least a portion of the other steps or stages.
The words "if", as used herein, may be interpreted as "at … …" or "at … …" or "in response to a determination" or "in response to a detection", depending on the context. Similarly, the phrase "if determined" or "if detected (stated condition or event)" may be interpreted as "when determined" or "in response to determination" or "when detected (stated condition or event)" or "in response to detection (stated condition or event), depending on the context.
It should be understood that the specific embodiments described herein are for purposes of illustration only and are not intended to limit the present application.
As shown in fig. 1 to 4, the application provides a network topology map dynamic generation method, which is applied to the internet of things or office systems and government systems, and is used for updating a dynamic topology map of a simulation network in real time, so that the problem of intelligent equipment can be determined quickly.
Specifically, the method comprises the following steps:
step S1, acquiring data sources of the current Internet of things or office systems and intelligent equipment, and configuring a topology structure and corresponding functional nodes of the office systems in the simulation network based on the data sources. The intelligent devices of different Internet of things or office systems can be arranged in the same topological structure, and all intelligent device conditions are rapidly acquired by establishing a simulation network. The intelligent equipment comprises a gateway, a server and other network management systems acquired through resources such as a CMDB, a network management system, equipment SNMP and the like, and an intelligent terminal arranged in the Internet of things or an office system and connected with the gateway or the server. Each intelligent device can upload data through a gateway or a platform of the intelligent device. According to the intelligent device, the functional nodes can be set so as to be convenient to regulate and control.
The data sources of the current internet of things or office systems and intelligent devices are acquired, specifically,
step S11, creating a database of intelligent equipment in the Internet of things or at least one office system, and initializing target data of the Internet of things or the office system and the intelligent equipment; the database comprises a plurality of sub-databases, and each sub-database corresponds to intelligent equipment contained in one functional node.
According to the corresponding relation between the IP address and the MAC address of the intelligent device in the Ethernet connected with the device, other network devices connected with the device can be found from the ARP table of a known router or switch according to the characteristic of the ARP table, different device information routers and switches are distinguished from newly found devices, network device expansion discovery is carried out according to the ARP tables of the devices, and recursion analogy is carried out, so that a database is constructed, and standard template data information is generated. The database contains initialized data of the Internet of things or office systems and intelligent equipment, and the sub-database corresponds to the data of all intelligent equipment of the functional node at the node. The setting of the function nodes can be optimized according to different data sources or according to different functions or structures of the internet of things, such as setting the function nodes according to different companies preferentially when the function nodes are applied to the internet of things of an office building. The manner in which the functional nodes are arranged is not limited herein. And data between different functional nodes can be selectively communicated.
Step S12, acquiring data information of intelligent equipment corresponding to at least one office system of the Internet of things or the office system in real time; the data information comprises a data type, an intelligent device name, a task serial number and an acquisition period.
All data information of the internet of things or office systems and intelligent equipment are acquired in real time through different data sources or functional nodes, and basic information such as the name of the intelligent equipment, the current state of the intelligent equipment, the acquisition period and the like can be obtained through the data information. After the data information is obtained, the data information is stored in a sub-database of the corresponding functional node.
Step S2, setting a network level of a topological structure in a simulation network, and distributing and authenticating the network level of the functional node;
in this step, the topology structure level may be set according to the functions or structures of the internet of things or the office system. In the same Internet of things or in a plurality of Internet of things, the situation that the same intelligent equipment is used exists, and the same intelligent equipment is in the same level in the simulation network; or, different intelligent devices in the same Internet of things are arranged at the same level; alternatively, the smart devices based on the same data source are arranged at the same level.
In the application, the initial connection relationship between the data source and the intelligent device is set. The network levels of the topological structure in the simulation network are arranged at the same level by adopting intelligent equipment based on the same data source, and the intelligent equipment and the number of resources required by the levels can be determined through the data quantity of the data source based on the classification of the data source, so that the regulation and control of bandwidth or the coordination of the levels or functional nodes corresponding to the servers of the whole simulation network are facilitated. In initial setting of a primary topological graph, firstly, based on a data source, a plurality of intelligent devices for acquiring data information through the data source, connection relations of all intelligent devices are acquired, and a topological connection relation centered on the data source is determined to set a first hierarchy. The number and the weight of the transmission of the different data sources are different, and the second hierarchical network level and the third hierarchical network level can be set according to the decreasing order according to the number or the weight of the data sources. The functional nodes are used for storing and synchronizing all data of the network hierarchy and the intelligent equipment, all the functional nodes are connected with each other, and each functional node is communicated with each other through a high-speed network, so that the low-delay requirement of cross-node communication is realized.
And S3, screening data related to the topological structure change from the data source, sequentially analyzing the data message, analyzing the topological relation contained in the data, and generating dynamic topological information. Specifically, the method comprises the following steps:
step S31, obtaining data information of the data source, and analyzing a data message from the data information to obtain source equipment, data type, task serial number, acquisition period and target equipment of the data message;
and S32, judging whether the data type is related to the topological structure change, and generating dynamic topological information when the data type is related to the topological structure change.
The data types include associated, changed, offline, online. The association refers to the act of the intelligent terminal or gateway establishing a connection with a new function node or other device, gateway. The change refers to the change of the connection relation between the intelligent terminal or gateway and the functional node or other devices and gateways, such as deleting the current connection relation and establishing new connection with other devices. And offline means that the intelligent terminal or gateway stops serving and cuts off the connection relation with all intelligent devices. Correspondingly, the intelligent device is started up and can be connected with other intelligent devices. Each intelligent terminal or gateway changes, and the topology structure is possible to change. Therefore, in this step, it is first determined whether the data type in the data packet is related to a change in topology, thereby generating dynamic topology information.
In addition to generating corresponding dynamic topology information by the data type in the data source, the dynamic topology information can also be generated by the device condition of the intelligent device or gateway. The number of connections each device of the intelligent device and gateway is limited. Under the condition that the allocated bandwidth and the flow are sufficient, the intelligent equipment can be in the first layering without dynamic change. And when the bandwidth and the flow distributed by the second layering and the third layering are insufficient and only partial equipment connection can be supported, quantifying the equipment to be connected, calculating the weight of the equipment to be connected of the intelligent equipment, and generating dynamic topology information according to the weight.
And S4, generating a dynamic topological graph of the simulation network according to the dynamic topological information.
Specifically, the generating a dynamic topology map of the simulation network according to the dynamic topology information specifically includes:
s41, constructing a primary topological graph according to a topological structure and functional nodes in a simulation network;
step S42, judging whether intelligent devices which are connected in the same way exist in the primary topological graph and the dynamic topological information according to the primary topological graph and the dynamic topological information; when the same connected intelligent equipment exists, a first topological graph based on the intelligent equipment is generated according to the functional nodes and the dynamic topological information, layering is carried out based on the intelligent equipment and the functional nodes, and a dynamic topological graph of the simulation network is generated.
The primary topological graph is an original topological graph of the simulation network, and is adjusted through dynamic topological information to remove and change source equipment or target equipment in the dynamic topological relation. In a real situation, there are cases where a plurality of devices are connected to the same intelligent device. Under the condition that the connection relation of the intelligent equipment is changed, the position of the topological graph where the intelligent equipment is located needs to be adjusted in time. And generating a first topological graph based on the intelligent equipment by the intelligent equipment, the gateway and the data source. And judging whether the intelligent equipment needs to be subjected to layered adjustment or not through the first topological graph and the primary topological graph, and when the intelligent equipment needs to be subjected to layered adjustment, adjusting the corresponding hierarchy and functional nodes through the weight of the intelligent equipment so as to generate a dynamic topological graph of the simulation network.
The application provides a network topology map dynamic generation method, which comprises the steps of obtaining a data source of the current Internet of things or office system and intelligent equipment, configuring a topology structure of a simulation network based on the data source, screening data related to topology structure change from the data source, analyzing a topology relation contained in the data, generating dynamic topology information, and generating a dynamic topology map of the simulation network according to the dynamic topology information. According to the method and the device, the dynamic topological graph is generated in real time according to the data source, and the dynamic topological graph of the simulation network is updated in real time, so that the problem of the intelligent equipment can be determined quickly.
The foregoing embodiment numbers of the present application are merely for describing, and do not represent advantages or disadvantages of the embodiments.
In this application, the same or similar term concept, technical solution, and/or application scenario description will generally be described in detail only when first appearing, and when repeated later, for brevity, will not generally be repeated, and when understanding the content of the technical solution of the present application, etc., reference may be made to the previous related detailed description thereof for the same or similar term concept, technical solution, and/or application scenario description, etc., which are not described in detail later.
In this application, the descriptions of the embodiments are focused on, and the details or descriptions of one embodiment may be found in the related descriptions of other embodiments.
The technical features of the technical solutions of the present application may be arbitrarily combined, and for brevity of description, all possible combinations of the technical features in the above embodiments are not described, however, as long as there is no contradiction between the combinations of the technical features, they should be considered as the scope of the present application.
From the above description of the embodiments, it will be clear to those skilled in the art that the above-described embodiment method may be implemented by means of software plus a necessary general hardware platform, but of course may also be implemented by means of hardware, but in many cases the former is a preferred embodiment. Based on such understanding, the technical solution of the present application may be embodied essentially or in a part contributing to the prior art in the form of a software product stored in a storage medium (e.g. ROM/RAM, magnetic disk, optical disk) as above, comprising several instructions for causing a terminal device (which may be a consumer or a network device, etc.) to perform the method of each embodiment of the present application.
The foregoing description is only of the preferred embodiments of the present application, and is not intended to limit the scope of the claims, and all equivalent structures or equivalent processes using the descriptions and drawings of the present application, or direct or indirect application in other related technical fields are included in the scope of the claims of the present application.
Claims (8)
1. The method is characterized by being applied to the Internet of things or office systems, and comprises the following steps of:
acquiring a data source of an office system or intelligent equipment in the current Internet of things, and configuring a topological structure of the office system and corresponding functional nodes in the simulation network based on the data source; the method comprises the following steps: creating a database of intelligent equipment in the Internet of things or at least one office system, and initializing the data of the Internet of things or the office system and the intelligent equipment; the database comprises a plurality of sub-databases, and each sub-database corresponds to intelligent equipment contained in one functional node;
acquiring data information of intelligent equipment corresponding to the Internet of things or at least one office system in real time; the data information comprises a data type, an intelligent equipment name, a task serial number and an acquisition period;
setting a network level of a topological structure in a simulation network, and carrying out network level distribution and authentication on the functional nodes;
screening data related to topological structure change from the data source, sequentially analyzing the data message, analyzing topological relation contained in the data, and generating dynamic topological information; specifically, the method comprises the following steps: acquiring data information of the data source, and analyzing the data message from the data information to obtain source equipment, data type, task serial number, acquisition period and target equipment of the data message;
judging whether the data type is related to the topological structure change or not, and generating dynamic topological information when the data type is related to the topological structure change;
and generating a dynamic topological graph of the office system in the simulation network according to the dynamic topological information.
2. The method for dynamically generating a network topology according to claim 1, wherein: the data types comprise association, change, offline and online, and when the data types are association, change and offline, the data types are related to the topological structure change; when the data types are associated, generating a topological connection relation according to the target equipment, the task serial number and the source equipment in the data information by the dynamic topological information; when the data type is changed, generating a topology change relation according to target equipment, a task serial number and source equipment in the data information by the dynamic topology information; and when the data type is offline, generating a topology deduction relation for the source equipment according to the task serial number in the data information by the dynamic topology information.
3. The method for dynamically generating a network topology according to claim 2, wherein: generating a dynamic topological graph of the simulation network according to the dynamic topological information, which specifically comprises the following steps:
constructing a primary topological graph according to a topological structure and functional nodes in the simulation network;
judging whether intelligent devices which are connected in the same way exist in the primary topological graph and the dynamic topological information or not according to the primary topological graph and the dynamic topological information; when the same connected intelligent equipment exists, a first topological graph based on the intelligent equipment is generated according to the functional nodes and the dynamic topological information, layering is carried out based on the intelligent equipment and the functional nodes, and a dynamic topological graph of the simulation network is generated.
4. A method for dynamically generating a network topology as recited in claim 3, wherein: the primary topological graph is used for determining a topological connection relationship taking the data source as a center based on the connection relationship of the data source and all intelligent devices so as to set a first layering; and setting the network levels of the second hierarchy and the third hierarchy according to the number or the weight of the data sources in descending order.
5. The method for dynamically generating a network topology according to claim 1, wherein: the method comprises the steps of screening data related to topological structure change from a data source, sequentially analyzing the data message, analyzing topological relation contained in the data to generate dynamic topological information,
judging whether the information of insufficient bandwidth and insufficient flow exists in the data message, and when the information exists, calculating the weight of equipment to be connected with the intelligent equipment, and generating dynamic topology information according to the weight.
6. The method for dynamically generating a network topology according to claim 1, wherein: the intelligent equipment comprises a gateway and a server inside the Internet of things and an intelligent terminal which is arranged in the Internet of things or an office system and is connected with the gateway or the server.
7. An electronic device, characterized in that it comprises a processor, a memory and a computer program stored in the memory and capable of running on the processor, wherein the processor implements a method for dynamically generating a network topology according to any one of claims 1 to 6 when executing the computer program.
8. A computer-readable storage medium, having stored thereon a computer program which, when executed, implements a method for dynamically generating a network topology according to any of claims 1 to 6.
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