An IT operation and maintenance method, system, device and storage medium based on the Internet of Things

Abstract

The present invention discloses an IT operation and maintenance method, system, device and storage medium based on the Internet of Things. The method includes: obtaining data to be operated and maintained; sending the data to be operated and maintained to a preset operation and maintenance cloud, and calculating the operation and maintenance management process on the operation and maintenance cloud by a knowledge graph method; supervising the execution of the operation and maintenance management process by a preset Internet of Things device, and recording the operation and maintenance log of the operation and maintenance management process by the Internet of Things device; sending the operation and maintenance log to the operation and maintenance cloud, and calculating the link specification value corresponding to the operation and maintenance log; and controlling the end of the operation and maintenance management process according to the link specification value. The present invention can achieve more reliable on-demand operation and maintenance, and by recording the operation and maintenance log of the operation and maintenance management process by the Internet of Things device, all operation and maintenance work can be implemented in the cloud, truly realizing safe isolation in the operation and maintenance process, and supervising the execution of the operation and maintenance management process by the Internet of Things device can reduce a large amount of process time and also reduce a large amount of labor costs.

Description

Technical Field

[0001] The present invention relates to the field of automatic operation and maintenance technology, and in particular to an IT operation and maintenance method, system, device and storage medium based on the Internet of Things. Background Art

[0002] For most enterprise users, the current equipment operation and maintenance solutions are basically at the manual operation and maintenance stage and the visual remote operation and maintenance stage. Enterprises need to spend a lot of manpower and time costs to implement network operation and maintenance locally. At the same time, in order to ensure the information security of the enterprise, there are a large number of approval procedures when implementing network operation and maintenance locally, which makes the operation and maintenance process complicated and the operation and maintenance duration long. Moreover, for the hardware, software, communication, and application layers, they are all black boxes. Because the standardization is not as high as that of PCs, maintenance is more difficult, especially the communication technology part, which has higher technical requirements for maintenance personnel. Therefore, an automated operation and maintenance technology is needed to assist people in improving operation and maintenance efficiency, reducing operation and maintenance costs and saving time, and reducing or even eliminating the operation and maintenance pressure of network operation and maintenance engineers and network experts, providing more accurate and humane intelligent services. Summary of the Invention

[0003] The present invention aims to solve at least one of the technical problems existing in the prior art. To this end, the present invention proposes an IT operation and maintenance method, system, device, and storage medium based on the Internet of Things (IoT), which can achieve more reliable on-demand operation and maintenance. The system also records operation and maintenance logs of the operation and maintenance management process through IoT devices, enabling all operation and maintenance work to be performed in the cloud, truly achieving secure isolation during the operation and maintenance process. Furthermore, the supervision and execution of the operation and maintenance management process by IoT devices can significantly reduce process time and labor costs.

[0004] In a first aspect, an embodiment of the present invention provides an IT operation and maintenance method based on the Internet of Things, comprising:

[0005] Obtain data to be maintained;

[0006] Sending the data to be operated and maintained to a preset operation and maintenance cloud, and calculating the operation and maintenance management process on the operation and maintenance cloud using a knowledge graph method;

[0007] Supervise and execute the operation and maintenance management process through a preset Internet of Things device, and record the operation and maintenance log of the operation and maintenance management process through the Internet of Things device;

[0008] Sending the operation and maintenance log to the operation and maintenance cloud, and calculating the link specification value corresponding to the operation and maintenance log;

[0009] The end of the operation and maintenance management process is controlled according to the link specification value.

[0010] The method according to the embodiment of the present invention has at least the following beneficial effects:

[0011] This method first sends the data to be operated and maintained to the operation and maintenance cloud, and calculates the operation and maintenance management process through the knowledge graph method on the operation and maintenance cloud. The operation and maintenance cloud provides a large amount of relevant data, which greatly increases the reliability of the operation and maintenance process. Then, through the characteristics of the knowledge graph, different operation and maintenance strategies can be selected according to needs to achieve more reliable on-demand operation and maintenance; secondly, the operation and maintenance management process is supervised and executed by the preset Internet of Things devices, and the operation and maintenance log of the operation and maintenance management process is recorded by the Internet of Things devices. All operation and maintenance work can be implemented in the cloud, and the security isolation in the operation and maintenance process can be truly realized. The supervision and execution of the operation and maintenance management process by the Internet of Things devices can reduce a lot of process time and a lot of labor costs; finally, the link specification value is calculated in real time through the operation and maintenance log, and the link specification value can be used to control the standardization of the operation and maintenance management process in real time to ensure that the core business will not be affected by the operation and maintenance, thereby avoiding losses to the enterprise business.

[0012] According to some embodiments of the present invention, sending the to-be-operated and maintained data to a preset operation and maintenance cloud, and calculating the operation and maintenance management process on the operation and maintenance cloud by using a knowledge graph method, includes:

[0013] Input the data to be maintained into a preset text event classification model to obtain the maintenance alarm events corresponding to the data to be maintained;

[0014] The shortest path is selected in the preset operation and maintenance knowledge graph according to the operation and maintenance alarm event to obtain the operation and maintenance management process.

[0015] According to some embodiments of the present invention, the text event classification model is obtained by the following steps:

[0016] Obtaining operational data and full-link logs; the full-link logs include service logs, access logs, and gateway logs;

[0017] Clustering alarm events in the full-link log based on text appearance to obtain a compressed alarm event log;

[0018] Perform word segmentation and annotation on the compressed alarm event log and the operated and maintained data to obtain a text event classification training set;

[0019] The preset text classification model is trained by using the text event classification training set until the number of training times of the text classification model is greater than a number threshold or the loss function of the text classification model is lower than a loss threshold, thereby obtaining the text event classification model.

[0020] According to some embodiments of the present invention, the operation and maintenance knowledge graph is obtained through the following steps:

[0021] Extract knowledge corpus from public sources of operation and maintenance knowledge through data collection tools;

[0022] Modeling is performed according to the structure of the knowledge corpus using a knowledge graph modeling tool to obtain a knowledge graph model corresponding to the knowledge corpus; the knowledge graph model includes point modeling, attribute modeling, and edge modeling;

[0023] Extracting word-level knowledge from the knowledge corpus using NLP tools;

[0024] The word-level knowledge is filled into the knowledge graph model through entity relationships to obtain the operation and maintenance knowledge graph.

[0025] According to some embodiments of the present invention, selecting the shortest path according to the operation and maintenance alarm event in a preset operation and maintenance knowledge graph to obtain the operation and maintenance management process includes:

[0026] Obtaining work order data from the operated and maintained data;

[0027] Converting the operation and maintenance knowledge graph into a negative-weighted cost graph based on the expenditure and time of the work order data;

[0028] The shortest path of the cost map is calculated using a shortest path algorithm to obtain the operation and maintenance management process.

[0029] According to some embodiments of the present invention, supervising the execution of the operation and maintenance management process by a preset Internet of Things device, and recording an operation and maintenance log of the operation and maintenance management process by the Internet of Things device, includes:

[0030] Saving the permissions corresponding to the operation and maintenance management process through the first portable device to obtain a second portable device; the permissions include entry and exit permissions corresponding to the sequence of the operation and maintenance management process;

[0031] The operation and maintenance log is obtained by recording and storing the time and work log of each use of the entry and exit authority through the second portable device.

[0032] According to some embodiments of the present invention, sending the operation and maintenance log to the operation and maintenance cloud and calculating the link specification value corresponding to the operation and maintenance log includes:

[0033] Obtaining the service bearer relationship and service call relationship through the full-link log index;

[0034] Obtaining the associated business of the work log through the business bearer relationship and the business call relationship;

[0035] A correlation coefficient between the associated service and the work log is calculated, and the link specification value is obtained by calculating the level of the associated service and the correlation coefficient.

[0036] In a second aspect, an embodiment of the present invention provides an IT operation and maintenance system based on the Internet of Things, comprising:

[0037] A module for acquiring data to be maintained, used to acquire data to be maintained;

[0038] An operation and maintenance management process calculation module is used to send the operation and maintenance data to a preset operation and maintenance cloud, and calculate the operation and maintenance management process on the operation and maintenance cloud using a knowledge graph method;

[0039] An operation and maintenance log recording module, configured to supervise the execution of the operation and maintenance management process through a preset IoT device, and record an operation and maintenance log of the operation and maintenance management process through the IoT device;

[0040] A link specification module, configured to send the operation and maintenance log to the operation and maintenance cloud, and calculate the link specification value corresponding to the operation and maintenance log;

[0041] The operation and maintenance end control module is used to control the end of the operation and maintenance management process according to the link specification value.

[0042] In a third aspect, an embodiment of the present invention provides an electronic device comprising at least one control processor and a memory for communicating with the at least one control processor; the memory stores instructions executable by the at least one control processor, and the instructions are executed by the at least one control processor so that the at least one control processor can execute the IT operation and maintenance method based on the Internet of Things as described in the first aspect.

[0043] In a fourth aspect, an embodiment of the present invention provides a computer storage medium, wherein the computer-readable storage medium stores computer-executable instructions, and the computer-executable instructions are used to enable a computer to execute the IT operation and maintenance method based on the Internet of Things as described in the first aspect.

[0044] It should be noted that the beneficial effects between the second to fourth aspects of the present invention and the prior art are the same as the beneficial effects of the first aspect of the IT operation and maintenance method based on the Internet of Things, and will not be described in detail here.

[0045] Other features and advantages of the present invention will be set forth in the description which follows, and in part will be obvious from the description, or may be learned by practice of the present invention. BRIEF DESCRIPTION OF THE DRAWINGS

[0046] The above and / or additional aspects and advantages of the present invention will become apparent and readily understood from the following description of the embodiments with reference to the accompanying drawings, in which:

[0047] Figure 1 This is a flow chart of an IT operation and maintenance method based on the Internet of Things provided by one embodiment of the present invention;

[0048] Figure 2 This is a flowchart of an operation and maintenance management process provided by an embodiment of the present invention, in which the data to be operated and maintained is sent to a preset operation and maintenance cloud and the operation and maintenance management process is calculated by a knowledge graph method on the operation and maintenance cloud;

[0049] Figure 3 This is a flowchart of obtaining a text event classification model provided by one embodiment of the present invention;

[0050] Figure 4 This is a flowchart for obtaining an operation and maintenance knowledge graph provided by an embodiment of the present invention;

[0051] Figure 5 This is a flowchart of an operation and maintenance management process for selecting the shortest path according to an operation and maintenance alarm event in a preset operation and maintenance knowledge graph, provided by an embodiment of the present invention;

[0052] Figure 6 This is a flowchart of an embodiment of the present invention, which provides a method for supervising and executing an operation and maintenance management process through a preset Internet of Things device and recording an operation and maintenance log of the operation and maintenance management process through the Internet of Things device;

[0053] Figure 7 This is a flowchart of sending an operation and maintenance log to an operation and maintenance cloud and calculating a link specification value corresponding to the operation and maintenance log, provided by an embodiment of the present invention;

[0054] Figure 8 This is an architectural diagram of an IT operation and maintenance method based on the Internet of Things provided by one embodiment of the present invention;

[0055] Figure 9 This is a schematic diagram of the structure of an IT operation and maintenance system based on the Internet of Things provided by one embodiment of the present invention;

[0056] Figure 10 It is a structural diagram of an electronic device provided by an embodiment of the present invention. DETAILED DESCRIPTION

[0057] The following describes embodiments of the present invention in detail. Examples of the embodiments are shown in the accompanying drawings, wherein the same or similar reference numerals throughout represent the same or similar elements or elements having the same or similar functions. The embodiments described below with reference to the accompanying drawings are exemplary and are intended only to explain the present invention and are not to be construed as limiting the present invention.

[0058] In the description of the present invention, if there is a description of first, second, etc., it is only for the purpose of distinguishing technical features, and cannot be understood as indicating or implying relative importance or implicitly indicating the number of the indicated technical features or implicitly indicating the order of the indicated technical features.

[0059] In the description of the present invention, it should be understood that descriptions involving orientation, such as the orientation or positional relationship indicated by up, down, etc., are based on the orientation or positional relationship shown in the accompanying drawings, and are only for the convenience of describing the present invention and simplifying the description, rather than indicating or implying that the device or element referred to must have a specific orientation, be constructed and operated in a specific orientation, and therefore cannot be understood as a limitation on the present invention.

[0060] In the description of the present invention, it should be noted that, unless otherwise clearly defined, terms such as setting, installing, and connecting should be understood in a broad sense, and technicians in the relevant technical field can reasonably determine the specific meanings of the above terms in the present invention based on the specific content of the technical solution.

[0061] The technical solutions of the present invention will be described clearly and completely below with reference to the accompanying drawings. Obviously, the embodiments described below are only some embodiments of the present invention, not all embodiments.

[0062] Reference Figure 1 and Figure 8 In some embodiments of the present invention, an IT operation and maintenance method based on the Internet of Things is provided, comprising:

[0063] Step S100: Acquire data to be maintained.

[0064] Step S200: Send the data to be operated and maintained to the preset operation and maintenance cloud, and calculate the operation and maintenance management process through the knowledge graph method on the operation and maintenance cloud.

[0065] It should be noted that since most companies have many subsidiaries, many of which are deployed remotely, the operation and maintenance cloud can centralize operation and maintenance costs and enable remotely deployed operation and maintenance work to be centralized, thereby improving operation and maintenance centralization and significantly reducing costs.

[0066] Step S300: Supervise and execute the operation and maintenance management process through the preset Internet of Things device, and record the operation and maintenance log of the operation and maintenance management process through the Internet of Things device.

[0067] It should be noted that companies that focus on data security also have strict management of operation and maintenance personnel. However, since personnel management is currently still at the stage of signature approval and manual supervision, the process is cumbersome and there is no isolation between management personnel and operation and maintenance personnel, which poses a greater security risk. Therefore, the use of IoT devices to supervise the operation and maintenance management process can remotely grant permissions, achieve remote supervision and real-time control, reduce process time and increase supervision.

[0068] Step S400: Send the operation and maintenance log to the operation and maintenance cloud, and calculate the link specification value corresponding to the operation and maintenance log.

[0069] It should be noted that since the operation and maintenance management process does not yet involve specific operation and maintenance content, when the operation and maintenance management process involves specific business content, it is necessary to determine in real time whether the operation and maintenance management process should continue based on the importance of the business content.

[0070] Step S500: Control the end of the operation and maintenance management process according to the link specification value.

[0071] First, the data to be operated and maintained is sent to the operation and maintenance cloud, where the operation and maintenance management process is calculated using the knowledge graph method. The operation and maintenance cloud provides a large amount of relevant data, which greatly increases the reliability of the operation and maintenance process. Then, through the characteristics of the knowledge graph, different operation and maintenance strategies can be selected according to needs to achieve more reliable on-demand operation and maintenance; secondly, the operation and maintenance management process is supervised and executed by preset IoT devices, and the operation and maintenance logs of the operation and maintenance management process are recorded by IoT devices. All operation and maintenance work can be implemented in the cloud, truly realizing safe isolation during the operation and maintenance process, and the supervision and execution of the operation and maintenance management process by IoT devices can reduce a lot of process time and labor costs; finally, the link specification value is calculated in real time through the operation and maintenance log, and the link specification value can be used to control the standardization of the operation and maintenance management process in real time to ensure that the core business will not be affected by operation and maintenance, thereby avoiding losses to the enterprise business.

[0072] Reference Figure 2 In some embodiments of the present invention, the data to be operated and maintained is sent to a preset operation and maintenance cloud, and the operation and maintenance management process is calculated on the operation and maintenance cloud using a knowledge graph method, including:

[0073] Step S210: input the data to be operated and maintained into a preset text event classification model to obtain an operation and maintenance alarm event corresponding to the data to be operated and maintained.

[0074] It should be noted that network platforms are generally complex distributed systems, so the upstream and downstream device messages and device control links are very complex, involving many different systems; and the corresponding log information often comes from multiple sources, such as marketing campaign management, user access, and application logs, and comes from multiple channels such as ECS servers, containers, mobile terminals, and web terminals. Therefore, the data to be operated and maintained is preferably first classified into text events through log data. In addition, the log system faces huge scale challenges. Faced with the data generated by hundreds of millions of online devices, the system should have the ability to use these logs to quickly solve problems, which requires the system to be able to process large amounts of data and have high real-time requirements. Therefore, the text event classification model can cope with the text event classification of large amounts of data, fully explore the business value of the log content, and conduct a comprehensive analysis of multi-channel logs in combination with IoT operation and maintenance scenarios, monitor abnormal device indicators, locate system problems, and analyze the corresponding abnormal call links.

[0075] Step S220: Select the shortest path in the preset operation and maintenance knowledge graph according to the operation and maintenance alarm event to obtain the operation and maintenance management process.

[0076] It should be noted that since event management generally lacks a structured representation of events, it is necessary to combine the operation and maintenance knowledge graph to build a knowledge model to help generate the operation and maintenance management process.

[0077] Through the text event classification model, operation and maintenance data can be presented in the form of events, and the messy data can be cleaned, significantly improving the accuracy of subsequent processing; then, the shortest path can be selected through operation and maintenance alarm events in the operation and maintenance knowledge graph, and the unstructured data can be structured to improve the efficiency of the operation and maintenance management process generation.

[0078] Reference Figure 3 In some embodiments of the present invention, the text event classification model is obtained by the following steps:

[0079] Step S2101: Obtain the operation and maintenance data and full-link logs; the full-link logs include business logs, access logs, and gateway logs.

[0080] It should be noted that the operated and maintained data is preferably the completed operation and maintenance management process.

[0081] Step S2102: cluster the alarm events in the full-link log based on text appearance to obtain a compressed alarm event log.

[0082] It should be noted that because log text is generally not linearly separable, conventional surface text similarity clustering methods may have insufficient compression rates and may even omit log text. This embodiment, however, clusters alarm events based on text appearance. This method uses an attention-based text appearance clustering method, specifically including: extracting text appearance and lexical semantic information from log text, fusing the text appearance and lexical semantic information to obtain word vectors; using the word vectors as input to a classification model and performing deep learning using a self-attention mechanism; and using the output of the classification model as input to a clustering method to obtain a compressed log of alarm events.

[0083] Step S2103: perform word segmentation and annotation on the alarm event compression log and the operation and maintenance data to obtain a text event classification training set.

[0084] Step S2104: train a preset text classification model using the text event classification training set until the number of training times of the text classification model is greater than a number threshold or the loss function of the text classification model is lower than a loss threshold, thereby obtaining a text event classification model.

[0085] By clustering alarm events, the feature expression of the training set is improved, and the text appearance clustering method with the introduction of the attention mechanism can improve the compression rate and reduce missed classifications, making the text event classification model more accurate.

[0086] Reference Figure 4 In some embodiments of the present invention, the operation and maintenance knowledge graph is obtained through the following steps:

[0087] Step S2201: extract knowledge corpus from public sources of operation and maintenance knowledge using a data collection tool.

[0088] It should be noted that, in terms of source form, knowledge is contained in structured (e.g., alarms, indicators, etc.), semi-structured (e.g., configuration, logs, standardized product documentation), and unstructured (e.g., practice manuals, troubleshooting cases, shared posts) data. This knowledge can come from product documentation on support websites, maintenance documentation from operations and maintenance experts, live network packet capture data when alarms and faults occur, configuration documentation data from live network environments, operational and maintenance experts' experience-based documentation, or fault propagation knowledge collection. Accordingly, tools are needed to connect and access this data. While existing NAIE platform data collection tools can be reused, additional tools, such as packet capture data acquisition tools and interfaces, document data acquisition link channels, and management tools, are also needed to acquire knowledge corpora from diverse and structured data sources.

[0089] Step S2202: Use the knowledge graph modeling tool to model the structure of the knowledge corpus to obtain a knowledge graph model corresponding to the knowledge corpus; the knowledge graph model includes point modeling, attribute modeling, and edge modeling.

[0090] It should be noted that there are usually two ways to build a model. One is a top-down approach, in which network experts and modeling experts use knowledge graph modeling tools to manually edit the schema; the other is a bottom-up approach, which uses graph technology to organize the knowledge structure design based on the structure of the source data and the standard specifications of the corpus.

[0091] Step S2203: extract word-level knowledge from the knowledge corpus using NLP tools.

[0092] Step S2204: Fill the knowledge graph model with word-level knowledge through entity relationships to obtain an operation and maintenance knowledge graph.

[0093] It should be noted that filling the knowledge graph model with word-level knowledge is achieved through entity relationship extraction, preferably by continuously associating two entity relationships. The calculation formula for the two entity relationships is as follows:

[0094]

[0095]

[0096]

[0097] Among them, f1 and f2 represent the number of times two entities appear, f joint It represents the number of times two entities appear in a sentence, npmi(e1,e2) represents the NPMI value between the two entities, and the NPMI value is used as the weight of the knowledge graph edge.

[0098] Knowledge graphs can not only establish comprehensive links, but also support search needs based on common sense knowledge and conceptual knowledge, and allow knowledge graphs to assist people in improving operation and maintenance efficiency, reducing operation and maintenance costs and saving time.

[0099] Reference Figure 5 In some embodiments of the present invention, the shortest path is selected in a preset operation and maintenance knowledge graph according to the operation and maintenance alarm event to obtain the operation and maintenance management process, including:

[0100] Step S221: Obtain work order data from the operation and maintenance data.

[0101] Step S222: Convert the operation and maintenance knowledge graph into a negative-weighted cost graph based on the expenditure and time of the work order data.

[0102] Step S223: Calculate the shortest path of the cost map using the shortest path algorithm to obtain the operation and maintenance management process.

[0103] It should be noted that the shortest path algorithm may include but is not limited to the following shortest path algorithms: Dijkstra algorithm, Astar algorithm, Bellman-Ford algorithm, SPFA algorithm (an improved version of Bellman-Ford algorithm), Floyd-Warshall algorithm, Johnson algorithm, and Bi-direction BFS algorithm.

[0104] The construction of a cost map with negative weights and the shortest path algorithm can achieve the path selection with the lowest cost and time, reduce process time and implementation costs, and improve operation and maintenance efficiency.

[0105] Reference Figure 6 In some embodiments of the present invention, the operation and maintenance management process is supervised and executed by a preset IoT device, and the operation and maintenance log of the operation and maintenance management process is recorded by the IoT device, including:

[0106] Step S301: Save the authority corresponding to the operation and maintenance management process through the first portable device to obtain a second portable device; the authority includes the entry and exit authority corresponding to the sequence of the operation and maintenance management process.

[0107] Step S302: Record and store the time and work log of each use of the access authority through the second portable device to obtain an operation and maintenance log.

[0108] Preferably, in this embodiment, access rights are granted through zoning management, and the zoning management includes, from large to small, the following: enterprise subsidiary - subsidiary park - park computer room - computer room equipment area.

[0109] Through permission control of IoT devices, the personnel costs of enterprise operation and maintenance control are reduced, and higher levels of personnel isolation are provided to improve the data security of operation and maintenance.

[0110] Reference Figure 7 In some embodiments of the present invention, the operation and maintenance log is sent to the operation and maintenance cloud, and the link specification value corresponding to the operation and maintenance log is calculated, including:

[0111] Step S401: Obtain the service bearer relationship and service call relationship through the full-link log index.

[0112] Step S402: Acquire the associated services of the work log through the service bearer relationship and the service call relationship.

[0113] Step S403: Calculate the correlation coefficient between the associated service and the work log, and obtain the link specification value through the level of the associated service and the correlation coefficient.

[0114] It should be noted that the link specification value is calculated by correlating the service level and the correlation coefficient, including:

[0115] The correlation coefficient is calculated based on the associated business in the work log. The calculation formula includes:

[0116]

[0117] Among them, ρ i represents the correlation coefficient, x ik represents the path from the i-th work log to the k-th associated business, x 0k Indicates the path from the current work log to the kth associated business, represents the average path of the associated business of the i-th work log, Indicates the average path of the associated business of the current work log;

[0118] Calculate the link specification value, including:

[0119]

[0120]

[0121] Among them, r i represents the link specification value, x′ ik It represents the path from the i-th work log to the k-th associated business after weighted discretization of the associated business levels.

[0122] The link specification value is calculated by correlating the business level and correlation coefficient, providing security testing for the enterprise's business security and avoiding major business accidents during the enterprise's operation and maintenance process.

[0123] Reference Figure 9 One embodiment of the present invention further provides an IT operation and maintenance system based on the Internet of Things, including a module for acquiring data to be operated and maintained 1001, an operation and maintenance management process calculation module 1002, an operation and maintenance log recording module 1003, and a link specification module 1004, wherein:

[0124] The module 1001 for acquiring data to be maintained is used to acquire data to be maintained.

[0125] The operation and maintenance management process calculation module 1002 is used to send the operation and maintenance data to the preset operation and maintenance cloud, and calculate the operation and maintenance management process through the knowledge graph method on the operation and maintenance cloud.

[0126] The operation and maintenance log recording module 1003 is used to supervise the execution of the operation and maintenance management process through the preset Internet of Things devices, and record the operation and maintenance logs of the operation and maintenance management process through the Internet of Things devices.

[0127] The link specification module 1004 is used to send the operation and maintenance log to the operation and maintenance cloud and calculate the link specification value corresponding to the operation and maintenance log.

[0128] refer to Figure 10 Another embodiment of the present invention further provides an electronic device, which can be any type of smart terminal, such as a mobile phone, a tablet computer, a personal computer, etc.

[0129] Specifically, the electronic device 6000 includes: one or more control processors 6001 and a memory 6002, Figure 10 In the example, a control processor 6001 and a memory 6002 are used. The control processor 6001 and the memory 6002 can be connected via a bus or other means. Figure 10 The bus connection is taken as an example.

[0130] The memory 6002 is a non-transitory computer-readable storage medium that can be used to store non-transitory software programs, non-transitory computer-executable programs, and modules, such as program instructions / modules corresponding to an electronic device in an embodiment of the present invention;

[0131] The control processor 6001 executes various functional applications and data processing of an IT operation and maintenance method based on the Internet of Things by running non-transient software programs, instructions and modules stored in the memory 6002, that is, implements an IT operation and maintenance method based on the Internet of Things of the above-mentioned method embodiment.

[0132] The memory 6002 may include a program storage area and a data storage area, wherein the program storage area may store an operating system and application programs required for at least one function; the data storage area may store data created by using an IT operation and maintenance method based on the Internet of Things, etc. In addition, the memory 6002 may include a high-speed random access memory and may also include a non-volatile memory, such as at least one disk storage device, a flash memory device, or other non-volatile solid-state storage device. In some embodiments, the memory 6002 may optionally include a memory remotely located relative to the control processor 6001, and these remote memories may be connected to the electronic device 6000 via a network. Examples of the above-mentioned network include, but are not limited to, the Internet, an intranet, a local area network, a mobile communication network, and combinations thereof.

[0133] When one or more modules are stored in the memory 6002 and are executed by the one or more control processors 6001, an IT operation and maintenance method based on the Internet of Things in the above method embodiment is executed, for example, Figures 1 to 7 method steps.

[0134] The memory, as a non-transient computer-readable storage medium, can be used to store non-transient software programs and non-transient computer executable programs. In addition, the memory may include a high-speed random access memory and may also include a non-transient memory, such as at least one disk storage device, a flash memory device, or other non-transient solid-state storage device. In some embodiments, the memory may optionally include a memory remotely arranged relative to the processor, and these remote memories may be connected to the processor via a network. Examples of the above-mentioned network include, but are not limited to, the Internet, an intranet, a local area network, a mobile communication network, and combinations thereof.

[0135] It should be noted that since the electronic device in this embodiment and the above-mentioned IT operation and maintenance method based on the Internet of Things are based on the same inventive concept, the corresponding content in the method embodiment is also applicable to the device embodiment and will not be described in detail here.

[0136] One embodiment of the present invention further provides a computer-readable storage medium storing computer-executable instructions, wherein the computer-executable instructions are used to execute: an IT operation and maintenance method based on the Internet of Things as described in the above embodiment.

[0137] It should be noted that since the computer-readable storage medium in this embodiment and the above-mentioned IT operation and maintenance method based on the Internet of Things are based on the same inventive concept, the corresponding content in the method embodiment is also applicable to the device embodiment and will not be described in detail here.

[0138] Those skilled in the art will appreciate that all or some of the steps and systems in the method disclosed above can be implemented as software, firmware, hardware, and appropriate combinations thereof. Some physical components or all physical components can be implemented as software executed by a processor, such as a central processing unit, a digital signal processor, or a microprocessor, or implemented as hardware, or implemented as an integrated circuit, such as an application-specific integrated circuit. Such software can be distributed on a computer-readable medium, and the computer-readable medium can include computer storage media (or non-transitory media) and communication media (or temporary media). As known to those skilled in the art, the term computer storage media is included in any method or technology for storing data (such as computer-readable instructions, data structures, program modules, or other data) and is volatile and non-volatile, removable, and non-removable. Computer storage media includes, but is not limited to, RAM, ROM, EEPROM, flash memory, or other memory technology, CD-ROM, digital versatile disks (DVD), or other optical disk storage, magnetic cassettes, magnetic tapes, disk storage, or other magnetic storage devices, or any other medium that can be used to store desired data and can be accessed by a computer. Furthermore, as is well known to those skilled in the art, communication media typically embodies computer-readable instructions, data structures, program modules, or other data in a modulated data signal such as a carrier wave or other transport mechanism, and may include any data delivery media.

[0139] Throughout this specification, reference to terms such as "one embodiment," "some embodiments," "illustrative embodiments," "examples," "specific examples," or "some examples" means that a specific feature, structure, material, or characteristic described in conjunction with that embodiment or example is included in at least one embodiment or example of the present invention. In this specification, illustrative uses of the above terms do not necessarily refer to the same embodiment or example. Furthermore, the specific features, structures, materials, or characteristics described may be combined in any suitable manner in any one or more embodiments or examples.

[0140] While embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that various changes, modifications, substitutions, and variations may be made to the embodiments without departing from the principles and spirit of the invention, and that the scope of the invention is defined by the claims and their equivalents.

Claims

1. An IT operation and maintenance method based on the Internet of Things, characterized in that: The IoT-based IT operation and maintenance method includes: Obtain data to be maintained; Sending the data to be operated and maintained to a preset operation and maintenance cloud, and calculating the operation and maintenance management process on the operation and maintenance cloud using a knowledge graph method; Supervise and execute the operation and maintenance management process through a preset Internet of Things device, and record the operation and maintenance log of the operation and maintenance management process through the Internet of Things device; Sending the operation and maintenance log to the operation and maintenance cloud, and calculating the link specification value corresponding to the operation and maintenance log; Controlling the end of the operation and maintenance management process according to the link specification value; The sending of the operation and maintenance log to the operation and maintenance cloud and calculating the link specification value corresponding to the operation and maintenance log includes: Obtain the service carrying relationship and service calling relationship through the full-link log index; Obtain the associated business of the work log through the business carrying relationship and business call relationship; Calculate the correlation coefficient between the associated business and the work log, and calculate the link specification value based on the level of the associated business and the correlation coefficient; The link specification value is calculated by correlating the service level and the correlation coefficient, including: The correlation coefficient is calculated based on the associated business in the work log. The calculation formula includes: Among them, ρ i represents the correlation coefficient, x ik represents the path from the i-th work log to the k-th associated business, x 0k Indicates the path from the current work log to the kth associated business, represents the average path of the associated business of the i-th work log, Indicates the average path of the associated business of the current work log; Calculate the link specification value, including: Among them, r i represents the link specification value, x′ ik It represents the path from the i-th work log to the k-th associated business after weighted discretization of the associated business levels.

2. The IT operation and maintenance method based on the Internet of Things according to claim 1, characterized in that: The sending of the maintenance data to a preset maintenance cloud and the calculation of the maintenance management process by a knowledge graph method on the maintenance cloud include: Input the data to be operated and maintained into a preset text event classification model to obtain the operation and maintenance alarm events corresponding to the data to be operated and maintained; The shortest path is selected in the preset operation and maintenance knowledge graph according to the operation and maintenance alarm event to obtain the operation and maintenance management process.

3. The IT operation and maintenance method based on the Internet of Things according to claim 2, characterized in that: The text event classification model is obtained through the following steps: Obtaining operational data and full-link logs; the full-link logs include service logs, access logs, and gateway logs; Clustering alarm events in the full-link log based on text appearance to obtain a compressed alarm event log; Perform word segmentation and annotation on the compressed alarm event log and the operated and maintained data to obtain a text event classification training set; The preset text classification model is trained by using the text event classification training set until the number of training times of the text classification model is greater than a number threshold or the loss function of the text classification model is lower than a loss threshold, thereby obtaining the text event classification model.

4. The IT operation and maintenance method based on the Internet of Things according to claim 2, characterized in that: The operation and maintenance knowledge graph is obtained through the following steps: Extract knowledge corpus from public sources of operation and maintenance knowledge through data collection tools; Modeling is performed according to the structure of the knowledge corpus using a knowledge graph modeling tool to obtain a knowledge graph model corresponding to the knowledge corpus; the knowledge graph model includes point modeling, attribute modeling, and edge modeling; Extracting word-level knowledge from the knowledge corpus using NLP tools; The word-level knowledge is filled into the knowledge graph model through entity relationships to obtain the operation and maintenance knowledge graph.

5. The IT operation and maintenance method based on the Internet of Things according to claim 4, characterized in that: The step of selecting the shortest path in the preset operation and maintenance knowledge graph according to the operation and maintenance alarm event to obtain the operation and maintenance management process includes: Obtain work order data from the operation and maintenance data; Converting the operation and maintenance knowledge graph into a negative-weighted cost graph based on the expenditure and time of the work order data; The shortest path of the cost map is calculated using a shortest path algorithm to obtain the operation and maintenance management process.

6. The IT operation and maintenance method based on the Internet of Things according to claim 3, characterized in that: The supervising and executing the operation and maintenance management process by a preset Internet of Things device, and recording the operation and maintenance log of the operation and maintenance management process by the Internet of Things device, includes: Saving the permissions corresponding to the operation and maintenance management process through the first portable device to obtain a second portable device; the permissions include entry and exit permissions corresponding to the sequence of the operation and maintenance management process; The operation and maintenance log is obtained by recording and storing the time and work log of each use of the entry and exit authority through the second portable device.

7. An IT operation and maintenance system based on the Internet of Things, characterized in that: The IoT-based IT operation and maintenance system includes: A module for acquiring data to be maintained, used to acquire data to be maintained; An operation and maintenance management process calculation module is used to send the operation and maintenance data to a preset operation and maintenance cloud, and calculate the operation and maintenance management process on the operation and maintenance cloud using a knowledge graph method; An operation and maintenance log recording module, configured to supervise the execution of the operation and maintenance management process through a preset IoT device, and record an operation and maintenance log of the operation and maintenance management process through the IoT device; A link specification module, configured to send the operation and maintenance log to the operation and maintenance cloud, and calculate the link specification value corresponding to the operation and maintenance log; An operation and maintenance end control module, configured to control the end of the operation and maintenance management process according to the link specification value; The operation and maintenance end control module is further configured to obtain the service carrying relationship and service calling relationship through the full-link log index; Obtain the associated business of the work log through the business carrying relationship and business call relationship; Calculate the correlation coefficient between the associated business and the work log, and calculate the link specification value based on the level of the associated business and the correlation coefficient; The link specification value is calculated by correlating the service level and the correlation coefficient, including: The correlation coefficient is calculated based on the associated business in the work log. The calculation formula includes: Among them, ρ i represents the correlation coefficient, x ik represents the path from the i-th work log to the k-th associated business, x 0k Indicates the path from the current work log to the kth associated business, represents the average path of the associated business of the i-th work log, Indicates the average path of the associated business of the current work log; Calculate the link specification value, including: Among them, r i represents the link specification value, x′ ik It represents the path from the i-th work log to the k-th associated business after the weighted discretization of the levels of the associated businesses.

8. An electronic device, characterized in that: It includes at least one control processor and a memory for communicating with the at least one control processor; the memory stores instructions that can be executed by the at least one control processor, and the instructions are executed by the at least one control processor to enable the at least one control processor to execute the IT operation and maintenance method based on the Internet of Things as described in any one of claims 1 to 6.

9. A computer-readable storage medium, characterized in that: The computer-readable storage medium stores computer-executable instructions, and the computer-executable instructions are used to enable a computer to execute the IT operation and maintenance method based on the Internet of Things according to any one of claims 1 to 6.

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