Method and system for monitoring warning information of base station
By performing distributed storage and big data analysis of base station alarm information on the cloud platform, combining Internet of Things technology to quickly locate fault points, and automatically clear low-level alarms in the visual terminal, the omission and delay in base station alarm information management is solved. , realizes timely handling and stable operation of base station faults.
Patent Information
- Application Number
- CN202411160986.9
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2024-08-22
- Publication Date
- 2024-12-31
AI Technical Summary
The existing base station alarm information management methods are difficult to effectively store and report in a timely manner, resulting in important alarm information that may be omitted or cannot be processed in a timely manner, affecting the response time of operation and maintenance personnel.
The cloud platform is used to store and analyze base station alarm information, effectively store it through distributed storage systems, columnar storage, data compression and deduplication technologies, and quickly locate fault points with big data processing framework and Internet of Things technology, while visualizing it The terminal displays and notifies, and automatically clears low-level alarm information based on the severity and frequency of occurrence.
It realizes the rapid and effective storage and analysis of base station alarm information, ensures that operation and maintenance personnel understand and deal with fault problems in a timely manner, and improves the stability and operation efficiency of base stations.
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Figure CN119233294A_ABST
Abstract
Description
Technical Field
[0001] The present invention relates to the technical field of base stations, and in particular to a method and system for monitoring base station alarm information. Background Art
[0002] In wireless communication networks, base stations are the core equipment for establishing and maintaining wireless connections, and the stable operation of base stations is crucial. However, due to various reasons, such as hardware failure, software errors, network interference, etc., base stations may have various problems. These problems often trigger alarm information to prompt operation and maintenance personnel to check and handle them.
[0003] However, in the existing base station alarm management methods, some base stations cannot effectively store and manage alarm information, which may cause important alarm information to be omitted or lost. Some other base stations may not be able to report alarm information in a timely manner, which may cause operation and maintenance personnel to be unable to understand and deal with base station problems in a timely manner.
[0004] Therefore, how to effectively store and report base station alarm information is an urgent problem to be solved in wireless communication network operation and maintenance. Summary of the invention
[0005] The present invention provides a method and system for monitoring base station alarm information, aiming to realize fast and effective storage and analysis and processing of base station alarm information.
[0006] On the one hand, the present invention provides a method for monitoring base station alarm information, comprising:
[0007] Acquire alarm information of a base station, and encapsulate the alarm information in a standardized format;
[0008] The packaged alarm information is sent to the cloud platform of the visualization terminal, and the cloud platform stores and analyzes the alarm information to find fault problems and locate fault points;
[0009] Display and notify alarm information on the visual terminal.
[0010] In one embodiment, sending the packaged alarm information to a cloud platform of a visualization terminal, and storing the alarm information by the cloud platform includes:
[0011] A distributed storage system is used to disperse and store the alarm information on multiple nodes of the cloud platform;
[0012] According to the characteristics of the alarm information, the necessary fields of each alarm information are stored in a column-based storage manner at each node;
[0013] Data compression and deduplication technology are used to process batches of alarm information to reduce storage space usage.
[0014] In one embodiment, sending the packaged alarm information to a cloud platform of a visualization terminal, and analyzing the alarm information by the cloud platform includes:
[0015] Constructing a data system for the alarm information on the cloud platform;
[0016] Based on the data system, a big data processing framework is used to perform real-time analysis on the newly received alarm information to discover potential problems of the newly received alarm information;
[0017] The fault point is quickly located by combining the network topology of the base station and the newly received alarm information.
[0018] In one embodiment, after the visual terminal displays and notifies the alarm information, the method further includes:
[0019] The visual terminal automatically clears historical alarm information according to a preset time period; or,
[0020] When the number of the alarm information reaches an upper threshold, the visualization terminal automatically clears the earliest alarm information among the alarm information.
[0021] In one embodiment, after the visual terminal displays and notifies the alarm information, the method further includes:
[0022] The visualization terminal classifies the alarm information according to the severity and frequency of occurrence, and sets low-level alarms that occur frequently and do not affect the operation of the base station to be automatically cleared; or,
[0023] The visualization terminal performs intelligent analysis on the alarm information according to the machine learning algorithm, identifies the alarm information that is repeated, false alarm or does not affect the operation of the base station, and automatically clears it.
[0024] In one embodiment, the step of obtaining the alarm information of the base station and packaging the alarm information in a standardized format further includes:
[0025] Compressing and encrypting the encapsulated alarm information at the base station end;
[0026] According to the lightweight MQTT protocol, the compressed and encrypted alarm information is sent to the message queue for cache;
[0027] The backend server at the base station reads the processed alarm information and reports it to the cloud platform after asynchronous processing;
[0028] The processed alarm information is stored in the real-time database of the cloud platform.
[0029] In one embodiment, before clearing the alarm information, the method further includes:
[0030] Back up the alarm information to be cleared;
[0031] Set the restore function to restore the cleared alarm information.
[0032] In one embodiment, before packaging the alarm information in a standardized format, the method further includes:
[0033] Edge computing technology is used to process the alarm information and preliminarily filter out the alarm information that does not affect the operation of the base station.
[0034] In one embodiment, after the visualization terminal displays and notifies the alarm information, the method further includes:
[0035] An access control policy is set on the visualization terminal to allow only authorized users to access the alarm information.
[0036] On the other hand, the present invention provides a monitoring system for base station alarm information, comprising:
[0037] An alarm information acquisition unit, used to acquire alarm information of a base station;
[0038] An encapsulation unit, used for encapsulating the alarm information in a standardized format;
[0039] A storage unit, used to send the packaged alarm information to the cloud platform of the visualization terminal, and the cloud platform stores the alarm information;
[0040] An analysis unit, used to analyze the stored alarm information, find fault problems and locate fault points;
[0041] The alarm information display unit is used to display and notify the alarm information on the visual terminal.
[0042] The present invention provides a monitoring method and system for base station alarm information, comprising obtaining alarm information of a base station, encapsulating the alarm information in a standardized format, sending the encapsulated alarm information to a cloud platform of a visualization terminal, storing and analyzing the alarm information by the cloud platform, discovering fault problems and locating fault points, and displaying and notifying the alarm information on the visualization terminal; the method stores and analyzes the alarm information through the cloud platform, and can utilize the big data storage function of the cloud platform to effectively store the alarm information, analyzes the alarm information based on the cloud computing function and big data technology of the cloud platform, and realizes fast and effective storage and analysis and processing of the alarm information. BRIEF DESCRIPTION OF THE DRAWINGS
[0043] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the following briefly introduces the drawings required for use in the embodiments. The drawings described below are only drawings corresponding to some embodiments of the present invention. For ordinary technicians in this field, drawings of other embodiments can be obtained based on these drawings without creative work.
[0044] Figure 1 A method flow chart of a method for monitoring base station alarm information in one embodiment of the present invention;
[0045] Figure 2 A method flow chart of a method for monitoring base station alarm information in another embodiment of the present invention;
[0046] Figure 3 The diagram is a structural diagram of a monitoring system for base station alarm information in one embodiment of the present invention. DETAILED DESCRIPTION
[0047] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative work are within the scope of protection of the present invention.
[0048] Unless defined otherwise, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this invention belongs.
[0049] See also Figure 1 The present invention provides a method for monitoring base station alarm information, in one embodiment, comprising:
[0050] S101, obtaining alarm information of a base station, and encapsulating the alarm information in a standardized format.
[0051] At the base station, each alarm event will generate an alarm message, including the alarm type, time, severity and other relevant information. This process can be automatically completed through built-in diagnostic tools and error detection algorithms. For example, for SCTP (Stream Control Transmission Protocol) link alarm, the base station detects an abnormal heartbeat message of the SCTP underlying link and generates an alarm message.
[0052] After the alarm information is generated, it is packaged in a unified standard format, such as JSON (JavaScript Object Notation) or XML (Extensible Markup Language). The standardized format helps the cloud platform to identify it, simplify the data processing process, and improve data interoperability.
[0053] S102, sending the packaged alarm information to the cloud platform of the visualization terminal, and the cloud platform stores and analyzes the alarm information, discovers the fault problem and locates the fault point.
[0054] The cloud platform includes:
[0055] Infrastructure layer: Use virtualization technology to virtualize physical hardware resources (such as servers, storage devices, etc.) into resource pools to achieve dynamic allocation and management of hardware resources.
[0056] Platform service layer: Provides basic cloud services, such as computing services, storage services, and network services. These services can be elastically expanded according to demand to meet the growing demand for base station alarm information.
[0057] Software service layer: Based on the platform service layer, it provides services such as data processing, analysis and mining. These services can help operators better understand and use alarm information.
[0058] By storing and analyzing alarm information through the cloud platform, the big data storage function of the cloud platform can be used to effectively store the alarm information, and the alarm information can be analyzed based on the cloud computing function and big data technology of the cloud platform, so as to realize fast and effective storage and analysis and processing of alarm information.
[0059] S103, display and notify the alarm information on the visualization terminal.
[0060] Specifically, alarm statistics or trend charts can be displayed on visual terminals, such as monitoring terminal interfaces, and automatic generation of alarm reports can be supported, making it easier for operators to understand and analyze the operating status of base stations, and achieving efficient storage, rapid query, security protection and in-depth analysis of base station alarm information, thus providing strong support for the stable operation of base stations.
[0061] At the same time, alarm notifications are sent to relevant personnel via SMS, email or APP push to ensure that the alarm information is handled in a timely manner.
[0062] See also Figure 2 In one embodiment, the method for monitoring base station alarm information includes:
[0063] S201, obtaining alarm information of a base station, and encapsulating the alarm information according to a standardized format.
[0064] S202, using a distributed storage system to disperse and store the alarm information on multiple nodes of the cloud platform.
[0065] S203: According to the characteristics of the alarm information, necessary fields of each piece of alarm information are stored in a column-based storage manner at each node.
[0066] Through the multi-node cloud platform, field column storage can achieve large-capacity storage, and the data structure is clear, which is easy to trace back and search.
[0067] S204, using data compression and deduplication technology to process batches of alarm information to reduce storage space usage.
[0068] S205, constructing a data system for the alarm information on the cloud platform.
[0069] S206, based on the data system, a big data processing framework is used to perform real-time analysis on the newly received alarm information to discover potential problems in the newly received alarm information.
[0070] Since a large amount of alarm information is stored in the cloud platform, relevant characteristics of comprehensive base station failure problems can be obtained. Therefore, based on big data processing methods, real-time analysis of newly received alarm information can be performed to discover potential problems in the alarm information and prevent them before they occur.
[0071] S207, quickly locate the fault point by combining the network topology of the base station and the newly received alarm information.
[0072] When the problem in the alarm information is identified, the network topology of the base station can be obtained based on the Internet of Things technology in combination with the alarm information, so that the fault point can be quickly located, the fault problem can be handled in time, and the normal operation of the base station can be effectively guaranteed.
[0073] The monitoring method of base station alarm information of this embodiment utilizes the characteristics of the cloud platform to disperse and store the alarm information on multiple nodes, which can improve the storage capacity. By storing the alarm information in columnar fields, a clearly structured alarm information can be obtained, which is convenient for reading, fault analysis and querying the alarm information. When new alarm information is received, a big data processing method can be used to analyze it in real time based on a large amount of stored historical alarm information, fully obtain the potential problems that may be contained in the alarm information, and combine the Internet of Things technology to obtain the network topology of the base station, quickly locate the fault point and potential risk point, and realize the rapid and effective solution of the base station fault problem, and can deal with potential problems in advance to prevent them from happening.
[0074] In one embodiment, the step of obtaining the alarm information of the base station and packaging the alarm information in a standardized format further includes:
[0075] The encapsulated alarm information is compressed and encrypted at the base station. Before data transmission, the alarm information is compressed to reduce bandwidth usage and encrypted to ensure data security. This can reduce transmission costs and improve security while ensuring data integrity.
[0076] According to the lightweight MQTT protocol, the compressed and encrypted alarm information is sent to the message queue for cache. The MQTT (Message Queuing Telemetry Transport) protocol is designed for IoT scenarios and has the characteristics of low latency, high reliability and low power consumption. It is very suitable for reporting base station alarm information.
[0077] The backend server at the base station reads the processed alarm information and reports it to the cloud platform after asynchronous processing, thereby realizing decoupling and asynchronous processing of the alarm information and improving the throughput and response speed of the cloud platform.
[0078] The processed alarm information is stored in the real-time database of the cloud platform for real-time query and analysis. The real-time database can efficiently process time series data and meet the high writing and high query requirements of alarm information.
[0079] In one embodiment, before packaging the alarm information in a standardized format, the method further includes:
[0080] Edge computing technology is used to process the alarm information and preliminarily filter out the alarm information that does not affect the operation of the base station.
[0081] At the base station end, edge computing technology is used for processing. When the base station equipment detects an abnormal situation, it will immediately perform preliminary analysis and processing locally. This can reduce the delay of data transmission and improve the real-time nature of the alarm.
[0082] Specifically, after the visualization terminal displays and notifies the alarm information, an alarm information clearing strategy is also set.
[0083] In one embodiment, the removal strategy is an automated removal strategy, comprising:
[0084] The visual terminal automatically clears historical alarm information according to a preset time period; or,
[0085] When the number of the alarm information reaches an upper threshold, the visualization terminal automatically clears the earliest alarm information among the alarm information.
[0086] In one embodiment, the removal strategy is an intelligent screening removal strategy, including:
[0087] The visualization terminal classifies the alarm information according to the severity and frequency of occurrence, and sets low-level alarms that occur frequently and do not affect the operation of the base station to be automatically cleared; or,
[0088] The visualization terminal performs intelligent analysis on the alarm information according to the machine learning algorithm, identifies the alarm information that is repeated, false alarm or does not affect the operation of the base station, and automatically clears it.
[0089] In one embodiment, the removal strategy is a manual removal strategy, including:
[0090] Manual confirmation and clearing: For important alarms or alarms that require manual intervention, the system provides the function of manually confirming and clearing. Users can choose to clear related alarms after viewing the alarm details.
[0091] Batch clearing: For a large number of alarms that need to be cleared, users can choose to clear them in batches to improve the clearing efficiency.
[0092] The introduction of a clearing strategy can effectively solve the problem of alarm information being overloaded and unable to be processed in a timely manner.
[0093] In one embodiment, the visualization terminal is also provided with an alarm clearing confirmation and feedback function, including:
[0094] Clear confirmation: After the alarm is cleared, a clear confirmation prompt is provided to ensure that the user knows that the alarm has been cleared. This prevents accidental deletion and ensures the accuracy of the alarm information.
[0095] Clearing feedback: Records the operation log of alarm clearing and provides clearing feedback so that users can understand the clearing results and clearing time.
[0096] In one embodiment, the visualization terminal further includes, before clearing the alarm information,
[0097] Back up the alarm information to be cleared;
[0098] Set up the recovery function to restore the cleared alarm information. In certain cases, users may need to restore the cleared alarm information. The system should provide the alarm data recovery function to ensure the integrity and traceability of the data.
[0099] In one embodiment, after the visualization terminal displays and notifies the alarm information, the method further includes:
[0100] A strict access control policy is set on the visualization terminal to allow only authorized users to access the alarm information, thereby improving the information security of the alarm information.
[0101] The monitoring method of base station alarm information of the embodiment of the present application provides complete and effective storage, reporting and clearing functions of alarm information. After preliminary screening, formatting, compression and encryption of the alarm information at the base station, it is first sent to the message queue, and then asynchronously processed by the background service and reported to the cloud platform. The format of the alarm information can be standardized and the response speed of the alarm information can be improved. Based on the distributed storage and big data processing framework combined with the Internet of Things technology on the cloud platform, fault points and potential risk points can be quickly and effectively located. Complete display, notification, query, clearing, backup and recovery functions are provided on the visual terminal. The method can realize the rapid reporting, effective storage, security protection, in-depth analysis and problem location of alarm information, and can promptly and effectively solve base station failure problems and prevent them before they occur.
[0102] See also Figure 3 The present application also provides a monitoring system for base station alarm information, in one embodiment of which, the system includes:
[0103] The alarm information acquisition unit 101 is used to obtain the alarm information of the base station;
[0104] The encapsulation unit 102 is used to encapsulate the alarm information according to a standardized format;
[0105] The storage unit 201 is used to send the packaged alarm information to the cloud platform of the visualization terminal, and the cloud platform stores the alarm information;
[0106] An analysis unit 202 is used to analyze the stored alarm information, find fault problems and locate fault points;
[0107] The alarm information display unit 301 is used to display and notify the alarm information on the visualization terminal.
[0108] In one embodiment, the storage unit 201 is specifically used for:
[0109] A distributed storage system is used to disperse and store the alarm information on multiple nodes of the cloud platform;
[0110] According to the characteristics of the alarm information, the necessary fields of each alarm information are stored in a column-based storage manner at each node;
[0111] Data compression and deduplication technology are used to process batches of alarm information to reduce storage space usage.
[0112] In one embodiment, the analysis unit 202 is specifically configured to:
[0113] Constructing a data system for the alarm information on the cloud platform;
[0114] Based on the data system, a big data processing framework is used to perform real-time analysis on the newly received alarm information to discover potential problems of the newly received alarm information;
[0115] The fault point is quickly located by combining the network topology of the base station and the newly received alarm information.
[0116] In one embodiment, the visualization terminal further includes an automatic clearing unit, and the automatic clearing unit is specifically used for:
[0117] The visual terminal automatically clears historical alarm information according to a preset time period; or,
[0118] When the number of the alarm information reaches an upper threshold, the visualization terminal automatically clears the earliest alarm information among the alarm information.
[0119] In one embodiment, the visualization terminal further includes an intelligent screening and clearing unit, and the intelligent screening and clearing unit is specifically used to:
[0120] The visualization terminal classifies the alarm information according to the severity and frequency of occurrence, and sets low-level alarms that occur frequently and do not affect the operation of the base station to be automatically cleared; or,
[0121] The visualization terminal performs intelligent analysis on the alarm information according to the machine learning algorithm, identifies the alarm information that is repeated, false alarm or does not affect the operation of the base station, and automatically clears it.
[0122] In one embodiment, the base station further includes a pre-processing unit, which is used to:
[0123] Compressing and encrypting the encapsulated alarm information at the base station end;
[0124] According to the lightweight MQTT protocol, the compressed and encrypted alarm information is sent to the message queue for cache;
[0125] The backend server at the base station reads the processed alarm information and reports it to the cloud platform after asynchronous processing;
[0126] The processed alarm information is stored in the real-time database of the cloud platform.
[0127] In one embodiment, the visualization terminal further includes a backup unit for:
[0128] Back up the alarm information to be cleared;
[0129] Set the restore function to restore the cleared alarm information.
[0130] In one embodiment, the base station further includes a filtering unit, which is used to:
[0131] Edge computing technology is used to process the alarm information and preliminarily filter out the alarm information that does not affect the operation of the base station.
[0132] In one embodiment, the visualization terminal further includes an access control unit for:
[0133] An access control policy is set on the visualization terminal to allow only authorized users to access the alarm information.
[0134] The specific process of each unit executing the above corresponding steps has been described in detail in the above method embodiment, and will not be repeated here for the sake of brevity.
[0135] In the above embodiments provided by the present invention, it should be understood that the disclosed systems, devices and methods can be implemented in other ways. For example, the device embodiments described above are only schematic. For example, the division of the units is only a logical function division. There may be other division methods in actual implementation, such as multiple units or components can be combined or integrated into another system, or some features can be ignored or not executed. Another point is that the mutual coupling or direct coupling or communication connection shown or discussed can be an indirect coupling or communication connection through some interfaces, devices or units, which can be electrical, mechanical or other forms.
[0136] The units described as separate components may or may not be physically separated, and the components shown as units may or may not be physical units, that is, they may be located in one place or distributed on multiple network units. Some or all of the units may be selected according to actual needs to achieve the purpose of the solution of this embodiment.
[0137] In addition, each functional unit in each embodiment of the present application may be integrated into a processing unit, or each unit may exist physically separately, or two or more units may be integrated into one unit. The above-mentioned integrated unit may be implemented in the form of hardware or in the form of a software functional unit. If the integrated unit is implemented in the form of a software functional unit and sold or used as an independent product, it may be stored in a computer-readable storage medium.
[0138] Based on this understanding, the technical solution of the present application, or the part that makes the contribution, or all or part of the technical solution can be embodied in the form of a software product, which is stored in a storage medium and includes several instructions for enabling a computer device (which can be a mobile terminal, a personal computer, a server, or a network device, etc.) to execute all or part of the steps of the method described in each embodiment of the present application. The aforementioned storage medium includes: U disk, mobile hard disk, read-only memory (ROM, Read-Only Memory), random access memory (RAM, Random Access Memory), disk or optical disk, etc., various media that can store program codes.
[0139] To sum up, although the present invention has been disclosed as above in the form of preferred embodiments, the protection scope of the present invention is not limited thereto, and any technician familiar with the technical field can make equivalent substitutions or changes according to the concept of the technical solution of the present invention within the technical scope disclosed by the present invention, which should be covered by the protection scope of the present invention.
[0140] The technical features of the above-described embodiments may be arbitrarily combined. To make the description concise, not all possible combinations of the technical features in the above-described embodiments are described. However, as long as there is no contradiction in the combination of these technical features, they should be considered to be within the scope of this specification.
Claims
1. A method for monitoring base station alarm information, characterized in that: include: Acquire alarm information of a base station, and encapsulate the alarm information in a standardized format; The packaged alarm information is sent to the cloud platform of the visualization terminal, and the cloud platform stores and analyzes the alarm information to find fault problems and locate fault points; Display and notify alarm information on the visual terminal.
2. The method according to claim 1, characterized in that The sending of the packaged alarm information to the cloud platform of the visualization terminal, and the cloud platform storing the alarm information includes: A distributed storage system is used to disperse and store the alarm information on multiple nodes of the cloud platform; According to the characteristics of the alarm information, the necessary fields of each alarm information are stored in a column-based storage manner at each node; Data compression and deduplication technology are used to process batches of alarm information to reduce storage space usage.
3. The method according to claim 1, characterized in that The sending of the packaged alarm information to the cloud platform of the visualization terminal, and the cloud platform analyzing the alarm information includes: Constructing a data system for the alarm information on the cloud platform; Based on the data system, a big data processing framework is used to perform real-time analysis on the newly received alarm information to discover potential problems of the newly received alarm information; The fault point is quickly located by combining the network topology of the base station and the newly received alarm information.
4. The method according to claim 1, characterized in that: After the visual terminal displays and notifies the alarm information, the method further includes: The visual terminal automatically clears historical alarm information according to a preset time period; or, When the number of the alarm information reaches an upper threshold, the visualization terminal automatically clears the earliest alarm information among the alarm information.
5. The method according to claim 1, characterized in that After the visual terminal displays and notifies the alarm information, the method further includes: The visualization terminal classifies the alarm information according to the severity and frequency of occurrence, and sets low-level alarms that occur frequently and do not affect the operation of the base station to be automatically cleared; or, The visualization terminal performs intelligent analysis on the alarm information according to the machine learning algorithm, identifies the alarm information that is repeated, false alarm or does not affect the operation of the base station, and automatically clears it.
6. The method according to claim 1, characterized in that The step of obtaining the alarm information of the base station and packaging the alarm information in a standardized format further includes: Compressing and encrypting the encapsulated alarm information at the base station end; According to the lightweight MQTT protocol, the compressed and encrypted alarm information is sent to the message queue for cache; The backend server at the base station reads the processed alarm information and reports it to the cloud platform after asynchronous processing; The processed alarm information is stored in the real-time database of the cloud platform.
7. The method according to claim 4 or 5, characterized in that: Before clearing the alarm information, it also includes: Back up the alarm information to be cleared; Set the restore function to restore the cleared alarm information.
8. The method according to claim 1, characterized in that Before encapsulating the alarm information in a standardized format, the method further includes: Edge computing technology is used to process the alarm information and preliminarily filter out the alarm information that does not affect the operation of the base station.
9. The method according to claim 1, characterized in that: After the visual terminal displays and notifies the alarm information, it also includes: An access control policy is set on the visualization terminal to allow only authorized users to access the alarm information.
10. A monitoring system for base station alarm information, characterized in that: include: An alarm information acquisition unit, used to acquire alarm information of a base station; An encapsulation unit, used for encapsulating the alarm information in a standardized format; A storage unit, used to send the packaged alarm information to the cloud platform of the visualization terminal, and the cloud platform stores the alarm information; An analysis unit, used to analyze the stored alarm information, find fault problems and locate fault points; The alarm information display unit is used to display and notify the alarm information on the visual terminal.
