An operation and maintenance monitoring device with fault detection and working method

Abstract

An operation and maintenance monitoring device with fault detection and a working method, the device comprising: a data acquisition module, a fault detection module, a fault processing module, an output display module, an alarm module and a storage module; wherein the output end of the data acquisition module is connected with the input end of the fault detection module, the output end of the fault detection module is connected with the input end of the fault processing module, the output end of the fault processing module is connected with the input end of the output display module, the input end of the alarm module is connected with the output end of the fault detection module and the fault processing module respectively, and the storage module is bidirectionally connected with the fault detection module and the fault processing module respectively; the device further comprises: a self-management module, and the output end of the self-management module is connected with the input end of the fault detection module. The device realizes the capability of detecting faults, thereby solving the problem that the target system often has faults during operation and maintenance monitoring, resulting in the problem that the target system cannot normally operate.

Description

Technical Field

[0001] This invention relates to the field of operation and maintenance monitoring technology, specifically to an operation and maintenance monitoring device and its working method with fault detection. Background Technology

[0002] With the continuous development of society, more and more equipment and products are becoming intelligent. Operation and maintenance monitoring is a general term for a series of IT management products. It can correctly and timely understand the operating status of the system, discover the bottlenecks affecting the overall system operation, help system personnel to perform necessary system optimization and configuration changes, and even provide a basis for system upgrades and expansions. It can greatly simplify the monitoring and management of IT facilities and business systems.

[0003] In the prior art, the device proposed in "An Operation and Maintenance Monitoring Device and Method" (CN106709578B) includes: a task storage unit, a method storage unit, a result storage unit, a configuration unit, and a processing unit; wherein, the task storage unit stores all operation and maintenance tasks, the parameters required to execute each operation and maintenance task, and the operation and maintenance method information required to execute each operation and maintenance task; the method storage unit stores all operation and maintenance methods; the result storage unit stores the operation and maintenance results of executing the operation and maintenance tasks; the configuration unit configures and stores the configuration information of all data; the configuration information is configured according to the platform on which the operation and maintenance monitoring device is located; the processing unit runs a cross-platform Python language processing program and is connected to the task storage unit, the method storage unit, the result storage unit, and the configuration unit respectively, for reading and executing the operation and maintenance tasks stored in the task storage unit. While existing technologies facilitate centralized management of operation and maintenance data, they can only execute acquired operation and maintenance tasks and lack fault detection and warning capabilities. During operation and maintenance monitoring, the monitored target system often experiences faults, causing it to malfunction. After a fault is discovered, technicians need to perform a comprehensive inspection of the target system, wasting a significant amount of time and hindering the system's rapid and normal operation. Therefore, there is an urgent need for an operation and maintenance monitoring device with fault detection capabilities and its working method to help solve these existing problems. Summary of the Invention

[0004] To address the shortcomings of existing technologies, this invention provides an operation and maintenance monitoring device and its working method with fault detection, thereby solving the problem mentioned in the background art that the monitored target system often has faults during the operation and maintenance monitoring process, causing the target system to be unable to operate normally.

[0005] The present invention adopts the following technical solution.

[0006] This invention proposes an operation and maintenance monitoring device with fault detection, comprising: a data acquisition module, a fault detection module, a fault processing module, an output display module, an alarm module, and a storage module; wherein, the output end of the data acquisition module is connected to the input end of the fault detection module, the output end of the fault detection module is connected to the input end of the fault processing module, the output end of the fault processing module is connected to the input end of the output display module, the input end of the alarm module is connected to the output ends of the fault detection module and the fault processing module respectively, and the storage module is bidirectionally connected to the fault detection module and the fault processing module respectively.

[0007] The device also includes: a self-management module; the output of the self-management module is connected to the input of the fault detection module, the output of the self-management module is connected to the input of the fault handling module, and the storage module is bidirectionally connected to the self-management module; the self-management module is used to extract fault detection standard data from the storage module to monitor the fault detection process executed by the fault detection module, and is also used to extract fault handling standard data from the storage module to monitor the fault handling process executed by the fault handling module.

[0008] The self-management module includes an import unit, an analysis and monitoring unit, and an export unit. The output of the import unit is connected to the input of the analysis and monitoring unit, and the output of the analysis and monitoring unit is connected to the input of the export unit. Thus, during the operation and maintenance monitoring system, the stored data processing flow information is monitored to check whether there are any errors in the data processing flow steps, and the operation and maintenance process is self-monitored.

[0009] The data acquisition module is used to collect numerical indicator data identified by latitude, character log data, and tracking data used to track the data flow process of a link from the monitored target.

[0010] The data acquisition module transmits the collected data to the fault detection module.

[0011] The data acquisition module implements the following acquisition methods: plugin acquisition, script acquisition, log acquisition, process acquisition, protocol acquisition, and API interface.

[0012] The fault detection module is used to detect data and determine whether a fault exists;

[0013] The fault detection module includes a data cleaning module, a data classification module, and a data analysis module; wherein, the output of the data cleaning module is connected to the input of the data classification module, and the output of the data cleaning module is connected to the input of the data analysis module.

[0014] The data cleaning module is used to clean the data; cleaning includes: extracting, transforming, and loading data from the source to the destination, cleaning up data that does not meet the requirements, and extracting useful data.

[0015] The data analysis module includes: a calculation unit, an enrichment unit, an indicator derivation unit, and an algorithm unit. The calculation unit performs calculations on the data, the enrichment unit adds tags to the data, the indicator derivation unit derives indicators from the tagged data through aggregation calculations, and the algorithm unit uses algorithms to process the data.

[0016] The warning module has an internal push module, the output of which is connected to the input of a fixed terminal and a mobile terminal respectively; the fixed terminal is an operation and maintenance monitoring terminal, and the mobile terminal is a mobile phone or tablet terminal carried by the management personnel.

[0017] The push module is used to push fault information to fixed terminals and mobile terminals when a fault is detected. The push methods include WeChat, SMS and email.

[0018] The output terminal of the output display module is connected to the input terminals of the fixed terminal and the mobile terminal respectively; the output display module is used to transmit view files to the fixed terminal and the mobile terminal, and the view files include fault data and location reasons.

[0019] The storage module includes an information repository and a database; the information repository is used to store operation and maintenance data and data information that needs to be downloaded over the network during data detection, and the database is used to store fault information; the output end of the information repository is connected to the input end of the database.

[0020] The input end of the information database is connected to the output ends of the networking module and the cleaning module, respectively. The cleaning module is used to clean the data in the information database periodically according to the settings, and the networking module is used to extract the data fault characteristics existing in the network big data to realize the comparative detection of faults and subsequent fault repair guidance.

[0021] The database input is connected to the output of the upload module and the summarization module, respectively. The upload module is used to upload the results of fault processing to the database according to the settings, and the summarization module is used to organize and summarize the fault information in the database into different types.

[0022] In another aspect, the present invention also proposes a working method for an operation and maintenance monitoring device with fault detection, which is applicable to operation and maintenance monitoring devices with fault detection.

[0023] The working methods include:

[0024] Step 1: During operation and maintenance monitoring, collect the indication data, log data, and tracking data of the monitored target;

[0025] Step 2: Analyze the collected data. First, clean the data to extract useful data.

[0026] Step 3: Classify and grade the data. Classify the operating parameters, video images and scheduling instructions contained in the data, and divide the data into different levels from low to high according to the degree of harm caused. The data levels include: ordinary data, general data, important data and core data.

[0027] Step 4: Process and perform algorithm calculations on the collected data. Start by monitoring the faults from the lowest level of hierarchical data, and combine and complement the operating parameters, video images and scheduling instructions in the data to determine whether there are any abnormalities, and provide fault location and fault repair guidance.

[0028] Step 5: If the data is faulty, the system automatically extracts past fault type information from the database, performs fault comparison and matching, and detects the fault location and type. The fault types include: faults that can be repaired automatically and faults that cannot be repaired automatically.

[0029] Step 6: If the fault can be repaired automatically, the fault will be automatically repaired by extracting the past processing methods from the database.

[0030] Step 7: If the fault cannot be automatically repaired, transfer the fault-related content and view files to the operation and maintenance personnel and administrators for timely resolution.

[0031] A terminal includes a processor and a storage medium; the storage medium is used to store instructions; the processor is used to operate according to the instructions to perform steps according to a method of operation.

[0032] A computer-readable storage medium having a computer program stored thereon, which, when executed by a processor, implements the steps of a working method.

[0033] The beneficial effects of this invention are compared with those of the prior art:

[0034] 1. This invention collects, cleans, extracts, and classifies the indication data, log data, and tracking data of the monitored target, thereby dividing the multi-dimensional data, including operating parameters, video images, and scheduling instructions, into different levels: ordinary data, general data, important data, and core data. By fully utilizing the hierarchical relationships between the data at each level and based on various algorithms, it combines and complements the operating parameters, video images, and scheduling instructions in the data to improve the accuracy of fault detection.

[0035] 2. The device proposed in this invention can determine whether there are abnormalities in the data, detect whether there are faults in the data, and accurately locate and guide the repair of faults. When a fault is found in the data, it is sent to the fault processing module for analysis and processing. Then, the fault information can be pushed to fixed terminals and mobile terminals through the push module, so that operation and maintenance personnel and managers can be aware of it. The output display module can transmit view files to fixed terminals and mobile terminals, so that operation and maintenance personnel and managers can easily understand the fault data and its location and cause, facilitate the timely resolution of faults, improve the fault detection capability of operation and maintenance monitoring, increase the practicality of operation and maintenance monitoring, and facilitate the automation of fault detection in operation and maintenance monitoring.

[0036] 3. The present invention uses a storage module, which contains an information database and a database. An external cleaning module periodically cleans the data in the information database, removes unnecessary file data, reduces storage memory, and facilitates the subsequent storage of data.

[0037] 4. The database of this invention can upload accumulated experience in handling data faults to the database through the external upload module and the summarization module, which can be used as a reference for subsequent data fault handling, thus improving its practicality. The summarization module can organize and summarize the fault information in the database into different types, which can facilitate automatic comparison when a fault is detected, thus improving the automatic fault handling capability.

[0038] 5. This invention establishes a fault diagnosis model for power equipment, which facilitates the diagnosis of fault types in power equipment, determines whether the equipment needs maintenance and repair, and enables reasonable and scientific condition-based maintenance of power equipment based on fault diagnosis. This can improve the efficiency and effectiveness of equipment maintenance, enhance the comprehensive analysis and refined management level of equipment, predict equipment defect states, significantly increase the uninterrupted operation time of power equipment, improve equipment utilization and availability, extend the service life of equipment, ensure system safety and power supply reliability, and create more economic and social benefits for the power grid. Attached Figure Description

[0039] Figure 1 This is a schematic diagram of the operation and maintenance monitoring device of the present invention;

[0040] Figure 2 This is a schematic diagram of the internal components of the fault detection module of the present invention;

[0041] Figure 3 This is a schematic diagram of the internal composition of the data analysis module of the present invention;

[0042] Figure 4 This is a schematic diagram of the composition of the warning module of the present invention;

[0043] Figure 5 This is a connection diagram of the output display module of the present invention;

[0044] Figure 6 This is a schematic diagram of the internal components of the self-management module of the present invention;

[0045] Figure 7 This is a schematic diagram of the composition of the storage module of the present invention. Detailed Implementation

[0046] To make the objectives, technical solutions, and advantages of this invention clearer, the technical solutions of this invention will be clearly and completely described below with reference to the accompanying drawings of the embodiments of this invention. The embodiments described in this application are merely some embodiments of this invention, and not all embodiments. Based on the spirit of this invention, other embodiments obtained by those skilled in the art without creative effort are all within the protection scope of this invention.

[0047] like Figure 1-7 As shown, one embodiment of the present invention provides an operation and maintenance monitoring device with fault detection function, including an operation and maintenance monitoring system. The system comprises a data acquisition module, a fault detection module, a fault handling module, an output display module, an alert module, a storage module, and a self-management module. The data acquisition module internally includes an encrypted transmission module, which can compress data and encrypt the network channel and information source, improving data transmission efficiency, increasing data security, and preventing malicious damage or alteration of monitoring data by hackers. The data acquisition module can collect indicator data, log data, and tracking data of the monitored target, identified by dimensions. The collected data includes multi-dimensional data such as operating parameters, video images, and scheduling instructions. Acquisition methods include plug-in acquisition, script acquisition, log acquisition, process acquisition, protocol acquisition, and API interface acquisition.

[0048] like Figure 1The data acquisition module's output is connected to the fault detection module's input, and the fault detection module's output is connected to the fault processing module's input. The fault processing module, which is the CPU, has its output connected to the output display module's input. The alarm module's input is connected to the outputs of both the fault detection and fault processing modules. During operation and maintenance monitoring, the data acquisition module collects data and sends it to the fault detection module for monitoring and fault detection. If a fault is found, it is sent to the fault processing module for analysis and processing. The output display and alarm modules then transmit the fault-related information, improving the fault detection capability of the operation and maintenance monitoring system. The storage module is bidirectionally connected to the fault detection, fault processing, and self-management modules, allowing data to be extracted and compared during operation and maintenance monitoring. This facilitates self-detection of fault types and their handling methods. The self-management module's output is connected to the inputs of both the fault detection and fault processing modules, enabling monitoring of these modules and improving the system's self-monitoring capability and operational stability.

[0049] like Figure 2 and Figure 3The fault detection module includes a data cleaning module, a data classification module, and a data analysis module. The data cleaning module cleans the data, extracting, transforming, and loading it from the source to the destination, removing unsuitable data and extracting useful data. The data classification module categorizes and classifies the data, classifying multi-dimensional data such as operating parameters, video images, and scheduling instructions. Based on the severity of the damage, the data is divided into different levels from low to high: ordinary data, general data, important data, and core data. This allows for full utilization of the hierarchical relationships between different data levels, enabling detection by starting with the lowest-level classified data. Fault monitoring begins, combining and complementing data from various dimensions such as operating parameters, video images, and scheduling instructions to improve the accuracy of fault detection and enable precise fault location and repair guidance. The output of the data cleaning module connects to the input of the data grading module, and the output of the data grading module connects to the input of the data analysis module. The data analysis module includes a calculation unit, an enrichment unit, an indicator derivation module, and an algorithm unit. The calculation unit performs simple calculations on the data to prevent direct judgment of anomalies based on different collected data, facilitating data detection. For example, if the collected data includes total disk volume and disk usage, the disk usage rate can be used to detect anomalies. To obtain disk usage, a simple arithmetic operation is needed on the existing metrics. The enrichment unit can tag data for easier aggregation calculations, such as by tagging hosts or data centers. This prevents data source tracing from becoming difficult due to excessive data volume. By using mathematically labeled tags, the origin of the data is automatically identified during processing. The metric derivation module can combine existing metrics in a specific way to generate new metrics reflecting comprehensive information, facilitating traceability. The algorithm unit can use algorithms to process the data, including fixed rules and machine learning algorithms. Fixed algorithms include static thresholds, year-on-year and month-on-month comparisons, and custom rules, while machine learning algorithms include dynamic baselines, spike detection, indicator prediction, and multi-indicator correlation detection. These algorithms can detect whether there are anomalies in the data, improving the fault detection capability of operation and maintenance monitoring. The output of the calculation unit is connected to the input of the enrichment unit, the output of the enrichment unit is connected to the input of the indicator derivation module, and the output of the indicator derivation module is connected to the input of the algorithm unit. Thus, during the detection process, the collected data is first cleaned to extract useful data, and then simple calculations, tagging, indicator derivation, and algorithmic operations are performed on the indicator data to determine whether there are anomalies.

[0050] like Figure 4 and 5The warning module has an internal push module. The output of the push module is connected to the input of a fixed terminal and a mobile terminal. The fixed terminal is the operation and maintenance monitoring terminal, and the mobile terminal is the mobile phone or tablet terminal carried by the management personnel. The push module can push information via WeChat, SMS, and email. When a fault is detected, the push module can push fault information to the fixed terminal and the mobile terminal so that operation and maintenance personnel and management personnel can be informed. The output of the output display module is connected to the input of the fixed terminal and the mobile terminal. When a fault is detected, the output display module can transmit view files to the fixed terminal and the mobile terminal so that operation and maintenance personnel and management personnel can easily understand the fault data and its location and cause.

[0051] like Figure 6 The self-management module includes an import unit, an analysis and monitoring unit, and an export unit. The output of the import unit is connected to the input of the analysis and monitoring unit, and the output of the analysis and monitoring unit is connected to the input of the export unit. Thus, during the operation and maintenance monitoring system, the stored data processing information is imported through the import unit, and the analysis and monitoring unit monitors the data processing steps to check for errors. This enables self-monitoring of the operation and maintenance process, which is beneficial to the normal operation and maintenance monitoring system. It also allows for quick identification of anomalies in the operation and maintenance monitoring system, improving its practicality.

[0052] like Figure 7 The storage module includes an information repository and a database. The information repository stores operation and maintenance data collected, as well as data that needs to be downloaded via the network during data detection. The database stores fault information. The output of the information repository is connected to the input of the database. The input of the information repository is connected to the output of the network module and the cleaning module. The network module can connect to the network and extract fault characteristics from the large amount of network data when judging faults in collected data. This facilitates comparison and detection of faults and is beneficial for subsequent fault repair guidance. The cleaning module can be set to periodically clean up the data in the information repository, remove unnecessary files and data, reduce storage memory, and facilitate the subsequent data storage. The input of the database is connected to the output of the upload module and the summarization module. The upload module can upload accumulated experience in handling data faults to the database for reference in subsequent data fault handling, improving practicality. The summarization module can organize and summarize the fault information in the database into different types, which facilitates automatic comparison when faults are detected and is beneficial for automatic fault handling capabilities.

[0053] A method for operating a maintenance monitoring device with fault detection function includes:

[0054] Step 1: During operation and maintenance monitoring, collect the indication data, log data, and tracking data of the monitored target;

[0055] Step 2: Then, the collected data is tested. First, the data is cleaned to extract the useful data.

[0056] Step 3: Then, classify and grade the data, classify the multi-dimensional data such as operating parameters, video images, and scheduling instructions, and divide the data into different levels from low to high according to the degree of harm caused: ordinary data, general data, important data, and core data.

[0057] Step 4: The collected data is then processed and algorithmically calculated. Fault monitoring is performed starting from the lowest-level hierarchical data. The data, including operating parameters, video images, and scheduling instructions, is combined and complemented to determine whether there are any anomalies. This facilitates fault location and fault repair guidance.

[0058] Step 5: If the data is faulty, automatically extract past fault type information from the database, perform fault comparison and matching, and detect the fault location and type;

[0059] Step 6: If the fault can be repaired automatically, the fault will be automatically repaired by extracting the past processing methods from the database.

[0060] Step 7: If the fault cannot be automatically repaired, transmit the relevant fault information and view files to the operation and maintenance personnel and administrators so that they can be informed and the fault can be resolved in a timely manner.

[0061] Working Principle: During operation and maintenance monitoring, the data acquisition module collects indicator data, log data, and tracking data of the monitored target. This data is then sent to the fault detection module for operation and maintenance monitoring. First, the data is cleaned to extract useful data. Then, the data is categorized and graded, classifying multi-dimensional data such as operating parameters, video images, and scheduling instructions. Based on the degree of harm caused, the data is divided into different levels from low to high: ordinary data, general data, important data, and core data. The hierarchical relationships between data levels are fully utilized. After simple calculations, tagging, and indicator derivation, the data is processed using algorithms. Fault monitoring starts from the lowest level of tiered data and analyzes the operational data within the data. The system combines and complements data from various dimensions such as line parameters, video images, and scheduling instructions to improve the accuracy of fault detection, determine whether there are data anomalies or faults, and facilitate fault location and repair guidance. If a fault is found, it is sent to the fault handling module for analysis and processing. At the same time, it automatically extracts past fault type information from the database, performs fault comparison and matching, and detects the fault location and type. If the fault is self-repairable, it is automatically repaired by extracting past processing methods from the database. If the fault is not self-repairable, the relevant fault content and view files are transmitted to maintenance and management personnel through the output display module and the warning module, so that maintenance and management personnel can be informed and facilitate timely fault resolution.

[0062] This disclosure can be a system, method, and / or computer program product. A computer program product may include a computer-readable storage medium having computer-readable program instructions loaded thereon for causing a processor to implement various aspects of this disclosure.

[0063] Computer-readable storage media can be tangible devices capable of holding and storing instructions for use by an instruction execution device. Computer-readable storage media can be, for example—but not limited to—electrical storage devices, magnetic storage devices, optical storage devices, electromagnetic storage devices, semiconductor storage devices, or any suitable combination of the foregoing. More specific examples (a non-exhaustive list) of computer-readable storage media include: portable computer disks, hard disks, random access memory (RAM), read-only memory (ROM), erasable programmable read-only memory (EPROM or flash memory), static random access memory (SRAM), portable compact disc read-only memory (CD-ROM), digital multifunction disc (DVD), memory sticks, floppy disks, mechanical encoding devices, such as punch cards or recessed protrusions storing instructions thereon, and any suitable combination of the foregoing. The computer-readable storage media used herein are not to be construed as transient signals themselves, such as radio waves or other freely propagating electromagnetic waves, electromagnetic waves propagating through waveguides or other transmission media (e.g., light pulses through fiber optic cables), or electrical signals transmitted through wires.

[0064] The computer-readable program instructions described herein can be downloaded from computer-readable storage media to various computing / processing devices, or downloaded via a network, such as the Internet, local area network, wide area network, and / or wireless network, to an external computer or external storage device. The network may include copper transmission cables, fiber optic transmission, wireless transmission, routers, firewalls, switches, gateway computers, and / or edge servers. A network adapter card or network interface in each computing / processing device receives the computer-readable program instructions from the network and forwards them to the computer-readable storage media in the respective computing / processing device.

[0065] Computer program instructions used to perform the operations of this disclosure may be assembly instructions, instruction set architecture (ISA) instructions, machine instructions, machine-dependent instructions, microcode, firmware instructions, status setting data, or source code or object code written in any combination of one or more programming languages, including object-oriented programming languages ​​such as Smalltalk, C++, etc., and conventional procedural programming languages ​​such as the "C" language or similar programming languages. The computer-readable program instructions may execute entirely on the user's computer, partially on the user's computer, as a standalone software package, partially on the user's computer and partially on a remote computer, or entirely on a remote computer or server. In cases involving a remote computer, the remote computer may be connected to the user's computer via any type of network—including a local area network (LAN) or a wide area network (WAN)—or may be connected to an external computer (e.g., via the Internet using an Internet service provider). In some embodiments, electronic circuitry, such as programmable logic circuitry, field-programmable gate arrays (FPGAs), or programmable logic arrays (PLAs), is personalized by utilizing the status information of the computer-readable program instructions to implement various aspects of this disclosure.

[0066] Various aspects of this disclosure are described herein with reference to flowchart illustrations and / or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of this disclosure. It should be understood that each block of the flowchart illustrations and / or block diagrams, and combinations of blocks in the flowchart illustrations and / or block diagrams, can be implemented by computer-readable program instructions.

[0067] These computer-readable program instructions can be provided to a processor of a general-purpose computer, a special-purpose computer, or other programmable data processing apparatus to produce a machine such that, when executed by the processor of the computer or other programmable data processing apparatus, they create means for implementing the functions / actions specified in one or more blocks of the flowchart and / or block diagram. These computer-readable program instructions can also be stored in a computer-readable storage medium that causes a computer, programmable data processing apparatus, and / or other device to operate in a particular manner; thus, the computer-readable medium storing the instructions comprises an article of manufacture that includes instructions for implementing aspects of the functions / actions specified in one or more blocks of the flowchart and / or block diagram.

[0068] Computer-readable program instructions may also be loaded onto a computer, other programmable data processing apparatus, or other device to cause a series of operational steps to be performed on the computer, other programmable data processing apparatus, or other device to produce a computer-implemented process, thereby causing the instructions executed on the computer, other programmable data processing apparatus, or other device to perform the functions / actions specified in one or more boxes of a flowchart and / or block diagram.

[0069] The flowcharts and block diagrams in the accompanying drawings illustrate the architecture, functionality, and operation of possible implementations of systems, methods, and computer program products according to various embodiments of the present disclosure. In this regard, each block in a flowchart or block diagram may represent a module, segment, or portion of an instruction containing one or more executable instructions for implementing a specified logical function. In some alternative implementations, the functions marked in the blocks may occur in a different order than those shown in the drawings. For example, two consecutive blocks may actually be executed substantially in parallel, and they may sometimes be executed in reverse order, depending on the functions involved. It should also be noted that each block in the block diagrams and / or flowcharts, and combinations of blocks in the block diagrams and / or flowcharts, may be implemented using a dedicated hardware-based system that performs the specified function or action, or using a combination of dedicated hardware and computer instructions.

[0070] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention and not to limit it. Although the present invention has been described in detail with reference to the above embodiments, those skilled in the art should understand that modifications or equivalent substitutions can still be made to the specific implementation of the present invention. Any modifications or equivalent substitutions that do not depart from the spirit and scope of the present invention should be covered within the protection scope of the claims of the present invention.

Claims

1. A maintenance monitoring device with fault detection capabilities, comprising: The system comprises a data acquisition module, a fault detection module, a fault processing module, an output display module, an alert module, and a storage module; wherein the output terminal of the data acquisition module is connected to the input terminal of the fault detection module, the output terminal of the fault detection module is connected to the input terminal of the fault processing module, the output terminal of the fault processing module is connected to the input terminal of the output display module, the input terminal of the alert module is connected to the output terminals of both the fault detection module and the fault processing module, and the storage module is bidirectionally connected to both the fault detection module and the fault processing module; its characteristic is that... The device further includes: a self-management module; the output of the self-management module is connected to the input of the fault detection module, the output of the self-management module is connected to the input of the fault handling module, and the storage module is bidirectionally connected to the self-management module; the self-management module is used to extract fault detection standard data from the storage module to monitor the fault detection process executed by the fault detection module, and is also used to extract fault handling standard data from the storage module to monitor the fault handling process executed by the fault handling module. The self-management module includes an import unit, an analysis and monitoring unit, and an export unit. The output of the import unit is connected to the input of the analysis and monitoring unit, and the output of the analysis and monitoring unit is connected to the input of the export unit. Thus, during the operation and maintenance monitoring system, the stored data processing flow information is monitored to check whether there are any errors in the data processing flow steps, and the operation and maintenance process is self-monitored.

2. The operation and maintenance monitoring device with fault detection according to claim 1, characterized in that, The data acquisition module is used to collect numerical indicator data identified by dimensions, character log data, and tracking data for tracking a data flow process of the monitored target. The data acquisition module transmits the collected data to the fault detection module.

3. The operation and maintenance monitoring device with fault detection according to claim 2, characterized in that, The data acquisition module implements the following acquisition methods: plugin acquisition, script acquisition, log acquisition, process acquisition, protocol acquisition, and API interface.

4. The operation and maintenance monitoring device with fault detection according to claim 2, characterized in that, The fault detection module is used to detect data and determine whether a fault exists; The fault detection module includes a data cleaning module, a data classification module, and a data analysis module; wherein, the output of the data cleaning module is connected to the input of the data classification module, and the output of the data classification module is connected to the input of the data analysis module.

5. The operation and maintenance monitoring device with fault detection according to claim 4, characterized in that, The data cleaning module is used to clean the data; cleaning includes: extracting, transforming, and loading data from the source to the destination, cleaning up data that does not meet the requirements, and extracting useful data.

6. The operation and maintenance monitoring device with fault detection according to claim 4, characterized in that, The data analysis module includes: a calculation unit, an enrichment unit, an indicator derivation unit, and an algorithm unit. The calculation unit performs calculations on the data, the enrichment unit adds tags to the data, the indicator derivation unit derives indicators from the tagged data through aggregation calculations, and the algorithm unit uses algorithms to perform calculations on the data.

7. The operation and maintenance monitoring device with fault detection according to claim 4, characterized in that, The warning module has an internal push module, the output of which is connected to the input of a fixed terminal and a mobile terminal respectively; the fixed terminal is an operation and maintenance monitoring terminal, and the mobile terminal is a mobile phone or tablet terminal carried by the management personnel.

8. The operation and maintenance monitoring device with fault detection according to claim 4, characterized in that, The push module is used to push fault information to fixed terminals and mobile terminals when a fault is detected. The push methods include WeChat, SMS and email.

9. The operation and maintenance monitoring device with fault detection according to claim 7, characterized in that, The output terminal of the output display module is connected to the input terminals of the fixed terminal and the mobile terminal respectively; the output display module is used to transmit view files to the fixed terminal and the mobile terminal, and the view files include fault data and location reasons.

10. The operation and maintenance monitoring device with fault detection according to claim 9, characterized in that, The storage module includes an information repository and a database; the information repository is used to store operation and maintenance data and data information that needs to be downloaded over the network during data detection, and the database is used to store fault information; the output end of the information repository is connected to the input end of the database. The input end of the information database is connected to the output ends of the networking module and the cleaning module, respectively. The cleaning module is used to clean the data in the information database periodically according to the settings, and the networking module is used to extract the data fault characteristics existing in the network big data to realize the comparative detection of faults and subsequent fault repair guidance. The database input is connected to the output of the upload module and the summarization module, respectively. The upload module is used to upload the results of fault processing to the database according to the settings, and the summarization module is used to organize and summarize the fault information in the database into different types.

11. A method for operating a maintenance monitoring device with fault detection, applicable to the maintenance monitoring device with fault detection as described in any one of claims 1 to 10, characterized in that, The working method includes: Step 1: During operation and maintenance monitoring, collect the indication data, log data, and tracking data of the monitored target; Step 2: Analyze the collected data. First, clean the data to extract useful data. Step 3: Classify and grade the data. Classify the operating parameters, video images and scheduling instructions contained in the data, and divide the data into different levels from low to high according to the degree of harm caused. The data levels include: ordinary data, general data, important data and core data. Step 4: Process and perform algorithm calculations on the collected data. Start from the lowest level of hierarchical data to perform fault monitoring. Combine and complement the operating parameters, video images and scheduling instructions in the data to determine whether there are any abnormalities. Provide fault location and fault repair guidance. Step 5: If the data is faulty, the system automatically extracts past fault type information from the database, performs fault comparison and matching, and detects the fault location and type. The fault types include: faults that can be repaired automatically and faults that cannot be repaired automatically. Step 6: If the fault can be repaired automatically, the fault will be automatically repaired by extracting the past processing methods from the database. Step 7: If the fault cannot be automatically repaired, transfer the fault-related content and view files to the operation and maintenance personnel and administrators for timely resolution.

12. A terminal, comprising a processor and a storage medium; characterized in that: The storage medium is used to store instructions; The processor is configured to operate according to the instructions to perform the steps of the method according to claim 11.

13. A computer-readable storage medium having a computer program stored thereon, characterized in that, When the program is executed by the processor, it implements the steps of the method of claim 11.

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