A Distributed Information Management Method for Communication Parameters

Abstract

The present invention relates to the technical field of communication networks, and specifically relates to a distributed information management method for communication parameters, including: constructing a cloud database, collecting real-time operation status parameters of each link node in the communication network, and storing the real-time operation status parameters of each link node in the communication network by applying the cloud database; uploading historical fault information of each link node in the communication network, identifying characteristic parameters in the historical fault information according to the historical fault information of the link node, and analyzing the distance between the historical fault information of each link node; generating a change trend diagram of the operation status parameters of the link node based on the obtained operation status parameters of the link node. By constructing a cloud database, the present invention collects and manages the real-time operation status parameters of each link node in the communication network separately, and configures the placement of different marks, effectively facilitating the query and reading of the operation status parameters of the link node.

Description

Technical Field

[0001] The present invention relates to the technical field of communication networks, and particularly to a method for distributed information management of communication parameters. Background Art

[0002] Communication network management is a series of activities and processes for effectively organizing, monitoring, maintaining, and optimizing a communication network. Through effective communication network management, the reliability, stability, and service quality of the network can be improved, various communication needs of users can be met, and at the same time, the operating cost can be reduced and the overall efficiency of the network can be enhanced.

[0003] The daily operating state of a communication network can be directly reflected by the operating state parameters of each link node in the communication network. However, due to the large number and complexity of link nodes in the communication network, the efficiency of querying the operating state parameters of link nodes is relatively low in the process of monitoring whether the operating state of the communication network is safe through the operating states of each link node in the network;

[0004] For this reason, we propose a method for distributed information management of communication parameters to solve the above problems. Summary of the Invention

[0005] Aiming at the above-mentioned disadvantages of the prior art, the present invention provides a method for distributed information management of communication parameters, which solves the technical problems raised in the above background.

[0006] To achieve the above object, the present invention is realized through the following technical solutions:

[0007] A method for distributed information management of communication parameters, comprising:

[0008] Build a cloud database to collect the real-time operating status parameters of each link node in the communication network, and use the cloud database to store the real-time operating status parameters of each link node in the communication network; upload the historical fault information of each link node in the communication network, identify the characteristic parameters in the historical fault information according to the historical fault information of the link node, and analyze the distance between the historical fault information of each link node; obtain the operating status parameters of the link node stored in the cloud database corresponding to the characteristic parameters, generate a change trend diagram of the operating status parameters of the link node based on the obtained operating status parameters of the link node, and iterate the operating status parameters of the corresponding link node stored in the cloud database with the change trend diagram of the operating status parameters of the link node; in the change trend diagram of the operating status parameters of the link node, obtain all the operating status parameters of the link node representing the characteristic parameters and the distance between each group of adjacent parameters, and set the monitoring queue of each link node in the communication network based on the distance between each group of adjacent parameters; according to the monitoring queue of the link node, sequentially retrieve the operating status parameters stored in the cloud database of each link node in the communication network, then generate a link node operation message using the retrieved operating status parameters of the link node, and send it to the mobile device held by the user terminal; evaluate the operating security of the link node according to the similarity comparison between the data included in the link node operation message and the historical fault information of the corresponding link node.

[0009] Further, the real-time operating status parameters of each link node in the communication network include: link node signal strength, link node noise level, link node processing delay, link node cache occupancy rate, and link node available bandwidth. During the stage of collecting the real-time operating status parameters of each link node in the communication network, synchronously collect the location information of the link node where the real-time operating status parameters are sourced. Based on the link node location information, distinguish and mark the real-time operating status parameters corresponding to the link node. The real-time operating status parameters of the link node marked with the link node location information are stored separately in the cloud database.

[0010] Among them, a data iteration period is set in the cloud database, and the cloud database performs an iteration process on the operating status parameters of each link node stored internally based on the data iteration period.

[0011] Further, the operation of collecting the real-time operating status parameters of each link node in the communication network is completed based on a specified collection period. The collection period of the real-time operating status parameters of each link node in the communication network follows: the larger the maximum cache capacity of the link node and the larger the available bandwidth of the link node, the shorter the collection period of the real-time operating status parameters of the link node; conversely, the longer the collection period of the real-time operating status parameters of the link node.

[0012] Further, the historical fault information of each link node in the uploaded communication network includes at least the fault information corresponding to at least two link node faults. The historical fault information of each link node in the communication network includes: the location information of the faulty link node, and the operating state parameters generated by the faulty link node within a specified time threshold before the fault occurs;

[0013] Among them, the characteristic parameter in the historical fault information of the link node can be any one of the operating state parameters of the link node. In the stage of identifying the characteristic parameter in the historical fault information of the link node, traverse the operating state parameters generated by the faulty link node within a specified time threshold before the fault occurs, and use the type of operating state parameter that first reaches the fault value as the characteristic parameter in the historical fault information of the link node.

[0014] Further, the fault value is the value of each operating state parameter generated by the faulty link node of the last group of historical fault information in the historical fault information of each link node in the uploaded communication network within a specified time threshold before the fault occurs;

[0015] In the historical fault information of each link node in the communication network, the specified time threshold for determining the operating state parameters of the faulty link node before the fault occurs is not less than three times the real-time operating state parameter acquisition period of each link node in the communication network, and is an integer multiple of the real-time operating state parameter acquisition period of each link node in the communication network;

[0016] The distance between the historical fault information of each link node is the number of acquisition periods between adjacent two groups of historical fault information of the link node under the same link node.

[0017] Further, the change trend graph of the link node operating state parameter can be any one of a bar graph, a line graph, and a curve graph;

[0018] Among them, after the change trend graph of the link node operating state is generated, synchronously construct the communication network link node topology based on the location information of each link node in the communication network, further pick up in the cloud database the change trend graph of the link node operating state corresponding to each link node in the communication network link node topology, and place the picked-up change trend graph of the link node operating state at the corresponding position in the communication network link node topology, and synchronously update based on the newly uploaded historical fault information of each link node in the communication network.

[0019] Further, when setting the monitoring queue of each link node in the communication network based on the distance between adjacent parameter groups, it follows:

[0020]

[0021] In the formula: f is the decision value; n is the set of adjacent parameter groups; d iis the distance of the i-th group of adjacent parameters; di+1 is the distance of the (i + 1)-th group of adjacent parameters; λ is the correction factor;

[0022] where n corresponds to a group of communication network link nodes. The larger the decision value f, the more backward the position of the link node in the link node monitoring queue, and vice versa, the more forward the position of the link node in the link node monitoring queue. Table pair for the average calculation.

[0023] Furthermore, the correction factor λ ≥ 0 and follows:

[0024]

[0025] In the formula: T is the acquisition period of the real-time operating state parameters of the link node.

[0026] Furthermore, the link node operation message includes all the unprocessed operating state parameters corresponding to the link node stored in the cloud database and the link node operation state change trend graph;

[0027] The operation of sending the link node operation message to the mobile device held by the user end, that is, the operation of sending the link node operation message to the computer used by the communication network management user to manage the communication network.

[0028] Furthermore, after comparing the data included in the link node operation message with the historical fault information of the corresponding link node, in the stage of evaluating the operation safety of the link node, the higher the similarity, the lower the safety of the link node, and vice versa, the higher the safety of the link node;

[0029] Among them, the similarity between the data included in the link node operation message and the historical fault information of the corresponding link node is determined based on the change range of the operating state parameters of each link node.

[0030] Adopting the technical solution provided by the present invention, compared with the known public technologies, it has the following beneficial effects:

[0031] The present invention provides a method for distributed information management of communication parameters. During the execution of this method, by constructing a cloud database, the real-time operating state parameters of each link node in the communication network are collected and differentially managed, and the placement of differential markers is configured, effectively facilitating the query and reading of the operating state parameters of the link nodes. Further, by uploading the historical fault information of the link nodes, it provides a reference comparison for the stored real-time operating state parameters of the link nodes, thereby serving as the content and output logic support for generating the operating state parameter messages of the communication network link nodes. This makes the method not only able to effectively manage the operating state parameters of the link nodes in the communication network for easy query and reading by communication network management users, but also able to bring a certain reference and evaluation effect to the operating state security of each link node in the communication network. BRIEF DESCRIPTION OF THE DRAWINGS

[0032] In order to more clearly illustrate the technical solutions in the embodiments of the present invention or the prior art, the following will briefly introduce the drawings required for use in the description of the embodiments or the prior art. Obviously, the drawings in the following description are only some embodiments of the present invention, and those of ordinary skill in the art can obtain other drawings based on these drawings without creative efforts.

[0033] Figure 1 It is a schematic flow chart of a method for distributed information management of communication parameters. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0034] To make the objectives, technical solutions, and advantages of the embodiments of the present invention clearer, the following will clearly and completely describe the technical solutions in the embodiments of the present invention with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are some, but not all, of the embodiments of the present invention. All other embodiments obtained by those of ordinary skill in the art based on the embodiments of the present invention without creative efforts fall within the scope of protection of the present invention.

[0035] The following further describes the present invention with reference to the embodiments.

[0036] Embodiment 1:

[0037] A method for distributed information management of communication parameters in this embodiment, as Figure 1 shown, includes the following steps:

[0038] Step 1: Construct a cloud database, collect the real-time operating state parameters of each link node in the communication network, and store the real-time operating state parameters of each link node in the communication network using the cloud database;

[0039] Step 2: Upload the historical fault information of each link node in the communication network. According to the historical fault information of the link node, identify the characteristic parameters in the historical fault information, and analyze the distance between the historical fault information of each link node;

[0040] Step 3: Obtain the running state parameters of the link node stored in the cloud database corresponding to the characteristic parameters. Generate a change trend diagram of the running state parameters of the link node based on the obtained running state parameters of the link node, and iterate the corresponding running state parameters of the link node stored in the cloud database with the change trend diagram of the running state parameters of the link node;

[0041] Step 4: In the change trend diagram of the running state parameters of the link node, obtain all the running state parameters of the link node representing the characteristic parameters, and the distance between each group of adjacent parameters. Based on the distance between each group of adjacent parameters, set the monitoring queue for each link node in the communication network;

[0042] Step 5: According to the monitoring queue of the link node, sequentially retrieve the running state parameters of each link node in the communication network stored in the cloud database, and then generate a link node running message by applying the retrieved running state parameters of the link node, and send it to the mobile device held by the user terminal;

[0043] Step 6: Evaluate the running security of the link node according to the similarity comparison between the data included in the link node running message and the historical fault information of the corresponding link node.

[0044] In this embodiment, through the execution of the method in the above embodiment, the distributed management of the running state parameters of each link node in the communication network is realized, which effectively facilitates the operation of the communication network management user in querying the running state parameters of the link node, and to a certain extent brings a reference evaluation effect to the running state security of each link node in the communication network, and maintains the daily operation stability of the communication network.

[0045] Embodiment 2:

[0046] At the specific implementation level, on the basis of Embodiment 1, this embodiment refers to Figure 1 to further specifically describe a distributed information management method for communication parameters in Embodiment 1:

[0047] The real-time running state parameters of each link node in the communication network include: link node signal strength, link node noise level, link node processing delay, link node cache occupancy rate, link node available bandwidth. During the stage of collecting the real-time running state parameters of each link node in the communication network, synchronously collect the location information of the link node where the real-time running state parameters are sourced. Based on the link node location information, distinguish and mark the corresponding real-time running state parameters of the link node, and store the real-time running state parameters of the link node marked with the link node location information separately in the cloud database;

[0048] Among them, a data iteration cycle is set in the cloud database. Based on the data iteration cycle, the cloud database updates the operating status parameters of each link node of the communication network stored internally.

[0049] Through the above settings, the logic of the cloud database in storing the operating status parameters of each link node in the communication network is further limited, ensuring that the cloud database can stably perform preliminary storage and management of the operating status parameters of each link node in the communication network.

[0050] like Figure 1 As shown, the operation of collecting the real-time operating status parameters of each link node in the communication network is completed based on the specified collection period, and the collection period of the real-time operating status parameters of each link node in the communication network is subject to: the larger the maximum cache capacity of the link node and the larger the available bandwidth of the link node, the shorter the collection period of the real-time operating status parameters of the link node, and vice versa, the longer the collection period of the real-time operating status parameters of the link node;

[0051] The uploaded historical fault information of each link node of the communication network includes at least fault information corresponding to two link node faults, and the historical fault information of each link node of the communication network includes: location information of the faulty link node, and operating status parameters generated by the faulty link node within a specified time threshold before the fault occurs;

[0052] The characteristic parameter in the historical fault information of the link node may be any one of the operating state parameters of the link node. In the stage of identifying the characteristic parameter in the historical fault information of the link node, the operating state parameters generated by the faulty link node within a specified time threshold before the fault occurs are traversed, and the operating state parameters that first reach the fault value among the operating state parameters are used as the characteristic parameters in the historical fault information of the link node.

[0053] Fault value, i.e., the value of each operating status parameter generated by the faulty link node of the last set of historical fault information within a specified time threshold before the fault occurs in the uploaded historical fault information of each link node of the communication network;

[0054] The specified time threshold for determining the operating status parameters of the faulty link node before the fault occurs in the historical fault information of each link node of the communication network shall not be less than three times the real-time operating status parameter collection period of each link node of the communication network, and shall be an integer multiple of the real-time operating status parameter collection period of each link node of the communication network;

[0055] The distance between the historical fault information of each link node, that is, the number of collection cycles between two adjacent groups of historical fault information of link nodes under the same link node.

[0056] Through the above settings, the step execution logic during the execution of the method in Embodiment 1 is further defined, making the execution process of the steps in the method more stable and reliable, and ensuring the stable generation and output of operation messages for each link node in the communication network.

[0057] As Figure 1 shown, the change trend graph of the link node operation status parameter can be any one of a bar chart, a line chart, and a curve chart;

[0058] Among them, after the change trend graph of the link node operation status is generated, a communication network link node topology is synchronously constructed based on the location information of each link node in the communication network, and further retrieved from the cloud database. Each link node in the communication network link node topology corresponds to the change trend graph of the link node operation status, and the retrieved change trend graph of the link node operation status is placed at the corresponding position in the communication network link node topology, and is updated synchronously based on the newly uploaded historical fault information of each link node in the communication network.

[0059] Through the above settings, the form of the change trend graph of the link node operation status parameter generated in the steps of the method in Embodiment 1 is further defined.

[0060] Embodiment 3:

[0061] At the specific implementation level, on the basis of Embodiment 1, this embodiment refers to Figure 1 to further specifically describe a communication parameter distributed information management method in Embodiment 1:

[0062] When setting the monitoring queues of each link node in the communication network based on the distance between adjacent parameter groups, it follows:

[0063]

[0064] In the formula: f is the decision value; n is the set of adjacent parameter groups; d i is the distance of the i-th group of adjacent parameters; di+1 is the distance of the i+1-th group of adjacent parameters; λ is the correction factor;

[0065] Among them, n corresponds to a group of communication network link nodes. The larger the decision value f, the more backward the position of the link node in the link node monitoring queue, and vice versa, the more forward the position of the link node in the link node monitoring queue. Table for the average value of;

[0066] The correction factor λ ≥ 0 and follows:

[0067]

[0068] In the formula: T is the acquisition period of the real-time operation status parameter of the link node.

[0069] By setting the monitoring queue of each link node in the communication network to follow the logic, it further ensures that the monitoring queues of each link node in the communication network are generated according to the specified queues, providing the necessary execution logic support for the execution of the subsequent steps in the method of Embodiment 1.

[0070] As Figure 1 shown, the link node operation message contains all the unprocessed operation state parameters stored in the cloud database corresponding to the link node and the link node operation state change trend chart;

[0071] The operation of sending the link node operation message to the mobile device held by the user side, that is, the operation of sending the link node operation message to the computer for managing the communication network by the communication network management user;

[0072] After comparing the data contained in the link node operation message with the historical fault information of the corresponding link node, in the stage of evaluating the operation safety of the link node, the higher the similarity, the lower the safety of the link node; on the contrary, the higher the safety of the link node.

[0073] Among them, the similarity between the data contained in the link node operation message and the historical fault information of the corresponding link node is determined based on the change range of the operation state parameters of each link node.

[0074] In summary, in the process of executing the method in the above embodiment, by constructing a cloud database, the real-time operation state parameters of each link node in the communication network are collected and managed separately, and the placement of different marks is configured, effectively facilitating the query and reading of the link node operation state parameters. Further, by uploading the historical fault information of the link node, it provides a reference comparison for the stored real-time operation state parameters of the link node, thereby serving as the content and output logic support for generating the link node operation state parameter message of the communication network link. This makes the method not only able to effectively manage the link node operation state parameters in the communication network for the communication network management user to query and read, but also able to bring a certain reference evaluation effect to the operation state safety of each link node in the communication network.

[0075] The above embodiments are only used to illustrate the technical solutions of the present invention, rather than to limit it; although the present invention has been described in detail with reference to the foregoing embodiments, those of ordinary skill in the art should understand that: they can still modify the technical solutions recorded in the foregoing embodiments, or perform equivalent replacements on some of the technical features; and these modifications or replacements will not make the essence of the corresponding technical solutions deviate from the spirit and scope of the technical solutions of the embodiments of the present invention.

Claims

1. A distributed information management method for communication parameters, characterized in that It includes the following steps: Step 1: Construct a cloud database, collect the real-time operation status parameters of each link node in the communication network, and store the real-time operation status parameters of each link node in the communication network using the cloud database; Step 2: Upload the historical fault information of each link node in the communication network. According to the historical fault information of the link node, identify the characteristic parameters in the historical fault information, and analyze the distance between the historical fault information of each link node; Step 3: Obtain the operation status parameters of the link node stored in the cloud database corresponding to the characteristic parameters, generate a change trend diagram of the operation status parameters of the link node based on the obtained operation status parameters of the link node, and iterate the operation status parameters of the corresponding link node stored in the cloud database with the change trend diagram of the operation status parameters of the link node; Step 4: In the change trend diagram of the operation status parameters of the link node, obtain all the operation status parameters of the link node representing the characteristic parameters and the distance between each group of adjacent parameters. Based on the distance between each group of adjacent parameters, set the monitoring queue for each link node in the communication network; Step 5: According to the monitoring queue of the link node, sequentially retrieve the operation status parameters stored in the cloud database for each link node in the communication network, and then generate a link node operation message using the retrieved operation status parameters of the link node and send it to the mobile device held by the user terminal; Step 6: Evaluate the operation security of the link node according to the similarity comparison between the data included in the link node operation message and the historical fault information of the corresponding link node; When setting the monitoring queue for each link node in the communication network based on the distance between each group of adjacent parameters, it follows that: Where: f is the decision value; n is the set of adjacent parameters for each group; d i is the distance of the i-th group of adjacent parameters; d i+1 is the distance of the (i + 1)-th group of adjacent parameters; λ is the correction factor; Among them, n corresponds to a group of communication network link nodes. The larger the decision value f is, the more backward the position of the link node in the link node monitoring queue is. On the contrary, it means the more forward the position of the link node in the link node monitoring queue is. Table pair The average value of The correction factor λ ≥ 0 and follows that: In the formula: T is the collection period of the real-time operation status parameters of the link node.

2. The distributed information management method for communication parameters according to claim 1, wherein The real-time operation status parameters of each link node in the communication network include: link node signal strength, link node noise level, link node processing delay, link node cache occupancy rate, available bandwidth of the link node. During the stage of collecting the real-time operation status parameters of each link node in the communication network, synchronously collect the location information of the link node where the real-time operation status parameters are sourced. Based on the link node location information, distinguish and mark the real-time operation status parameters corresponding to the link node. The real-time operation status parameters of the link node marked with the link node location information are stored separately in the cloud database; Among them, a data iteration period is set in the cloud database. The cloud database performs an iteration process on the operation status parameters of each link node in the communication network stored internally based on the data iteration period.

3. A distributed information management method for communication parameters according to claim 1, characterized in that, The operation of collecting the real-time operation status parameters of each link node in the communication network is completed based on a specified collection period. The collection period of the real-time operation status parameters of each link node in the communication network follows that: the larger the maximum cache capacity of the link node and the larger the available bandwidth of the link node, the shorter the collection period of the real-time operation status parameters of the link node. Conversely, the longer the collection period of the real-time operation status parameters of the link node.

4. A distributed information management method for communication parameters according to claim 1, characterized in that, The historical fault information of each link node in the uploaded communication network includes at least the fault information corresponding to two link node faults. The historical fault information of each link node in the communication network includes: the location information of the faulty link node, and the operating state parameters generated by the faulty link node within a specified time threshold before the fault occurs; Among them, the characteristic parameter in the historical fault information of the link node can be any one of the operating state parameters of the link node. In the stage of identifying the characteristic parameter in the historical fault information of the link node, traverse the operating state parameters generated by the faulty link node within a specified time threshold before the fault occurs, and use the type of operating state parameter that first reaches the fault value as the characteristic parameter in the historical fault information of the link node.

5. The distributed information management method for communication parameters according to claim 4, characterized in that The fault value refers to the values of each operating state parameter generated by the faulty link node of the last set of historical fault information in the historical fault information of each link node in the uploaded communication network within a specified time threshold before the fault occurs; In the historical fault information of each link node in the communication network, the specified time threshold for determining the operating state parameters of the faulty link node before the fault occurs is not less than three times the real-time operating state parameter acquisition period of each link node in the communication network and is an integer multiple of the real-time operating state parameter acquisition period of each link node in the communication network; The distance between the historical fault information of each link node is the number of acquisition periods between adjacent two sets of historical fault information of the link node under the same link node.

6. A distributed information management method for communication parameters according to claim 1, characterized in that The change trend chart of the link node operating state parameter can be any one of a bar chart, a line chart, and a curve chart; Among them, after the change trend chart of the link node operating state is generated, synchronously construct the communication network link node topology based on the location information of each link node in the communication network, further pick up in the cloud database the change trend chart of the link node operating state corresponding to each link node in the communication network link node topology, and place the picked-up change trend chart of the link node operating state at the corresponding position in the communication network link node topology, and synchronously update based on the newly uploaded historical fault information of each link node in the communication network.

7. A distributed information management method for communication parameters according to claim 1, characterized in that The link node operation message contains all the unprocessed operating state parameters stored in the cloud database corresponding to the link node and the change trend chart of the link node operating state; The operation of sending the link node operation message to the mobile device held by the user end is the operation of sending the link node operation message to the computer used by the communication network management user to manage the communication network.

8. A distributed information management method for communication parameters according to claim 1, characterized in that, After the data contained in the link node operation message is compared with the corresponding historical fault information of the link node for similarity, in the stage of evaluating the operating security of the link node, the higher the similarity, the lower the security of the link node, and vice versa, the higher the security of the link node; Among them, the similarity between the data contained in the link node operation message and the corresponding historical fault information of the link node is determined based on the change amplitude of each link node operating state parameter.

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