An intelligent communication system operation and maintenance terminal maintenance device

Abstract

This invention discloses an intelligent communication system operation and maintenance terminal maintenance device, belonging to the field of operation and maintenance terminal technology. The maintenance system utilizes data analysis and machine learning algorithms to monitor the operating status of the operation and maintenance terminal and predict its service life and maintenance time. A correlation analysis unit uses machine learning algorithms to detect anomalies in multiple indicators and performs correlation analysis based on operating status data. A model building unit constructs an anomaly analysis model based on the results of the correlation analysis. The anomaly analysis model uses machine learning and pattern recognition technologies to identify current anomalies and predict future anomalies. This invention uses machine learning algorithms to detect anomalies in received multiple indicator data and performs correlation analysis based on operating status data. By analyzing the correlation between different indicators, it identifies potential anomaly patterns or fault precursors and whether the operation and maintenance terminal exhibits a performance degradation trend, thus achieving predictive maintenance.

Description

Technical Field

[0001] The present invention relates to the technical field of operation and maintenance terminal maintenance, and in particular to an intelligent communication system operation and maintenance terminal maintenance device. Background Art

[0002] The intelligent communication system operation and maintenance terminal maintenance device improves the operation and maintenance efficiency of the communication system, reduces costs, and ensures the security of IT assets through automation and intelligent means. However, the existing operation and maintenance terminal maintenance device cannot perform anomaly detection and correlation analysis on the object indicators of the operation and maintenance terminal when in use. The maintenance effect of the operation and maintenance terminal is poor and there are certain defects.

[0003] The defects of the existing operation and maintenance terminal maintenance device are:

[0004] 1. In the patent document CN113055763B, the main consideration is how to perform fault alarm, but it does not take into account that the existing operation and maintenance terminal cannot perform abnormal detection and correlation analysis on the object indicators of the operation and maintenance terminal during maintenance;

[0005] 2. In patent document CN104079075B, the maintenance efficiency is improved mainly by shortening the response time, and the security and stability of the system are enhanced. However, it does not take into account that the existing operation and maintenance terminal maintenance devices are prone to illegal access and tampering during use;

[0006] 3. In the patent document CN114553677B, the purpose of accurately locating faults is mainly achieved by parsing messages of different communication roles, without considering that the continuity and stability of the operation and maintenance work of the existing operation and maintenance terminal maintenance device cannot be guaranteed when in use;

[0007] 4. In patent document CN114243932B, the main consideration is to improve the efficiency of maintenance of substation video and reduce operation and maintenance investment, but it does not take into account the low resource utilization efficiency of existing operation and maintenance terminal maintenance devices when in use. Summary of the invention

[0008] The purpose of the present invention is to provide an intelligent communication system operation and maintenance terminal maintenance device to solve the problems raised in the above background technology.

[0009] To achieve the above-mentioned object, the present invention provides the following technical solutions: an intelligent communication system operation and maintenance terminal maintenance device, comprising a maintenance box, wherein the maintenance box is equipped with a maintenance system, and the maintenance system uses data analysis and machine learning algorithms to monitor the operating status of the operation and maintenance terminal and predict the service life and maintenance time point of the operation and maintenance terminal;

[0010] The maintenance system includes a data collection unit, a data transmission unit, a correlation analysis unit, a model building unit, a front-end and a back-end server. The data collection unit includes a data collector installed in a maintenance box, and the data collector collects the operation status data of the operation and maintenance terminal through a sensor. The data transmission unit uses a wireless network to transmit the operation status data to the correlation analysis unit. The correlation analysis unit uses a machine learning algorithm to detect anomalies of multiple indicators and performs correlation analysis in combination with the operation status data. The model building unit builds an anomaly analysis model based on the result of the correlation analysis. The anomaly analysis model identifies current anomalies and predicts anomalies that will occur in the future based on machine learning and pattern recognition technology. The front-end uses a mature front-end framework to build a user interface. The front-end uses WebSocKet technology to achieve two-way communication with the back-end server. The back-end server is responsible for processing requests sent by the front-end. The back-end server interacts with the correlation analysis unit and the model building unit to obtain analysis results and prediction information and returns this information to the front-end for display.

[0011] Anomaly detection includes temperature detection, humidity detection, leakage detection, power consumption detection, battery detection, network anomaly detection and sabotage detection.

[0012] Preferably, a storage plate is installed inside the maintenance box, and the top of the storage plate is in contact with the bottom of the data collector, a data storage device 1 and a data storage device 2 are installed on the top of the storage plate, and the output end of the data collector is connected to the input end of the data storage device 1 and the input end of the data storage device 2 respectively, a central processing unit 1 and a storage device are installed on the bottom wall of the maintenance box, the storage device is located on one side of the central processing unit 1, the output end of the data storage device 2 is connected to the input end of the central processing unit 1, and the output end of the central processing unit 1 is connected to the input end of the storage device, and the central processing unit 1 is equipped with a monitoring system, which includes identity authentication and authorization, operation log recording, security auditing, and real-time monitoring and alarming;

[0013] Identity authentication and authorization: ensure that only authorized personnel can access and operate the operation and maintenance terminal and record it in the storage device;

[0014] Operation log record: record all operations in detail, including operation time, operator and operation content;

[0015] Security audit: Regularly conduct security audits on log records to check whether there are any abnormal incidents of unauthorized access and third-party tampering;

[0016] Real-time monitoring and alarm: Real-time monitoring of the operating status of the data storage device 2 and the access to the operation and maintenance terminal, and triggering the alarm mechanism when abnormal events are detected to notify relevant personnel for processing.

[0017] Preferably, a storage slot is provided on the top of the maintenance box, a slot hole is penetrated through the outer wall of one side of the maintenance box, and the slot hole is connected to the storage slot, a connecting line is placed inside the storage slot, one end of the connecting line passes through the inside of the slot hole and is connected to a load balancer, and the load balancer is used to distribute the front-end requests to the back-end server and dynamically adjust the distribution strategy according to the performance and load conditions of the back-end server, a central processing unit 2 is installed inside the load balancer, and a switch and a converter are installed at the output end of the central processing unit 2, and the converter is located on one side of the switch.

[0018] Preferably, the back-end server includes a data analysis and prediction unit, an automatic fault diagnosis unit, a maintenance decision support unit, a resource optimization and scheduling unit, and a mobile and remote operation and maintenance unit. The data analysis and prediction unit uses central processing unit 1 and central processing unit 2 to analyze historical and real-time data, and transmits the analyzed data to the abnormality analysis model for training. The automatic fault diagnosis unit formulates an operation and maintenance strategy according to the results output by the abnormality analysis model. The maintenance decision support unit enriches the operation and maintenance strategy according to business needs and the status of the operation and maintenance terminal. The resource optimization and scheduling unit optimizes the allocation and use of maintenance resources. The mobile and remote operation and maintenance unit supports remote monitoring and management of mobile devices.

[0019] Preferably, the maintenance resources include personnel, spare parts and tools.

[0020] Preferably, the formulated operation and maintenance strategy includes daily inspections, operation and maintenance terminal status diagnosis, compliance checks, risk point checks, data flow inspections, and personalized checks.

[0021] Preferably, the other end of the connecting line is connected to an output end of data storage device 1.

[0022] Preferably, the data storage device 1 combines NoSQL to store real-time data, and the data storage device 2 uses a relational database to store user data configuration information and historical records.

[0023] Preferably, the method for using the operation and maintenance terminal maintenance device is as follows:

[0024] S1. Before using the maintenance device, first connect the data storage device 1 and the load balancer together through a connecting line, then receive the status data and front-end data of the operation and maintenance terminal through the data collector, and store the received status data and front-end data in the data storage device 1 and the data storage device 2 respectively;

[0025] S2, then transmit the collected real-time status data of the operation and maintenance terminal to the abnormal analysis model for training through the data storage device 1, and transmit the output result to the front-end user interface through the wireless network, so as to facilitate the user to send a request to the load balancer according to the detection result;

[0026] S3. When the load balancer receives an operation and maintenance request from the front end, the central processor 1 searches the front end data in the data storage device 2 to confirm whether the user sending the request has the authority to access and operate the operation and maintenance terminal. When the user sending the request has the authority, the central processor 2 receives the request and chooses to turn on the switch or converter according to the content of the request. Otherwise, an early warning report is sent to the operation and maintenance personnel.

[0027] Preferably, in S3, it further includes:

[0028] S31. The switch is used to cut off the communication line and start and stop a single operation and maintenance terminal. The converter is used to switch to the backup operation and maintenance terminal when a single operation and maintenance terminal fails or has a performance degradation trend.

[0029] Compared with the prior art, the present invention has the following beneficial effects:

[0030] 1. The present invention uses a machine learning algorithm to perform anomaly detection on multiple indicator data received, and performs correlation analysis in combination with the operating status data. By analyzing the correlation between different indicators, potential abnormal patterns or fault precursors and whether there is a performance degradation trend in the operation and maintenance terminal are identified, thereby achieving predictive maintenance.

[0031] 2. The present invention records in detail who, when, where and how the operation and maintenance terminal is operated through the monitoring system, and stores these data in the data storage device 2. Through real-time monitoring and recording, illegal access and tampering of the communication system operation and maintenance terminal by a third party can be discovered and prevented in time, thereby ensuring the integrity and security of the data.

[0032] 3. The present invention distributes front-end requests to back-end servers by deploying a load balancer, and dynamically adjusts the distribution strategy according to the performance and load conditions of the back-end servers. In the process of adjusting the distribution strategy, the central processor 2 is combined to analyze and process the received data, and based on the results of the analysis and processing, the switch is started to perform line connection and disconnection operations or the converter is started to quickly switch the communication network to a backup operation and maintenance terminal, thereby avoiding operation and maintenance interruptions and ensuring the continuity and stability of the operation and maintenance work.

[0033] 4. The present invention assists operation and maintenance personnel in optimizing the allocation and use of maintenance resources through a resource optimization scheduling unit, and improves resource utilization efficiency and reduces operation and maintenance costs through intelligent scheduling and allocation. It also supports remote monitoring and management of mobile devices and timely response and processing with operation and maintenance personnel at any location. BRIEF DESCRIPTION OF THE DRAWINGS

[0034] Figure 1 This is a diagram of the operation and maintenance system of the present invention;

[0035] Figure 2It is a diagram of the monitoring system of the present invention;

[0036] Figure 3 A diagram showing the structure of a back-end server of the present invention;

[0037] Figure 4 A diagram showing the composition of the maintenance resources and operation and maintenance strategy of the present invention;

[0038] Figure 5 It is a schematic diagram of the overall assembly structure of the present invention;

[0039] Figure 6 A top view of the present invention;

[0040] Figure 7 It is a schematic diagram of the plan view assembly structure of the maintenance box of the present invention;

[0041] Figure 8 It is a schematic diagram of the planar assembly structure of the load balancer of the present invention;

[0042] Fig. 9 It is a schematic diagram of the planar assembly structure of the storage plate and the central processing unit 1 of the present invention.

[0043] In the figure: 1. Maintenance box; 2. Data collector; 3. Data storage device 1; 4. Data storage device 2; 5. Storage slot; 6. Connecting wire; 7. Load balancer; 8. Storage board; 9. CPU 1; 10. Storage device; 11. CPU 2; 12. Switch; 13. Converter. DETAILED DESCRIPTION

[0044] 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 ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0045] In the description of the present invention, it should be noted that the terms "upper", "lower", "inner", "outer", "front end", "rear end", "two ends", "one end", "the other end" and the like indicate positions or positional relationships based on the positions or positional relationships shown in the drawings, and are only for the convenience of describing the present invention and simplifying the description, and do not indicate or imply 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 limiting the present invention. In addition, the terms "first" and "second" are used for descriptive purposes only and cannot be understood as indicating or implying relative importance.

[0046] In the description of the present invention, it should be noted that, unless otherwise clearly specified and limited, the terms "installed", "provided with", "connected", etc. should be understood in a broad sense. For example, "connected" can be a fixed connection, a detachable connection, or an integral connection; it can be a mechanical connection or an electrical connection; it can be a direct connection, or it can be indirectly connected through an intermediate medium, or it can be the internal communication of two components. For ordinary technicians in this field, the specific meanings of the above terms in the present invention can be understood according to specific circumstances.

[0047] See also Figure 1 and Figure 5 An embodiment of the present invention is as follows: an intelligent communication system operation and maintenance terminal maintenance device, comprising a maintenance box 1, wherein the maintenance box 1 is equipped with a maintenance system, and the maintenance system uses data analysis and machine learning algorithms to monitor the operating status of the operation and maintenance terminal and predict the service life and maintenance time point of the operation and maintenance terminal. The maintenance system includes a data acquisition unit, a data transmission unit, a correlation analysis unit, a model building unit, a front-end server and a back-end server. The data acquisition unit includes a data collector 2 installed in the maintenance box 1, and the data collector 2 collects the operating status data of the operation and maintenance terminal through a sensor. The data transmission unit uses a wireless network to transmit the operating status data to the correlation analysis unit, and the correlation analysis unit uses a machine learning algorithm to perform multiple indicators. Anomaly detection is combined with operation status data for correlation analysis. The model building unit builds an anomaly analysis model based on the results of the correlation analysis. The anomaly analysis model is based on machine learning and pattern recognition technology to identify current anomalies and predict future anomalies. The front end uses a mature front-end framework to build the user interface. The front end uses WebSocKet technology to achieve two-way communication with the back-end server. The back-end server is responsible for processing the requests sent by the front end. The back-end server interacts with the correlation analysis unit and the model building unit to obtain analysis results and prediction information and returns this information to the front end for display. Anomaly detection includes temperature detection, humidity detection, leakage detection, power consumption detection, battery detection, network anomaly detection and damage detection.

[0048] Furthermore, a machine learning algorithm is used to detect anomalies in the received multiple indicator data, and a correlation analysis is performed in combination with the operating status data. By analyzing the correlation between different indicators, potential abnormal patterns or fault signs and whether the operation and maintenance terminal has a performance degradation trend are identified to achieve predictive maintenance. Temperature detection is used to monitor the temperature changes of the operation and maintenance terminal to prevent equipment damage or performance degradation caused by overheating. Humidity detection is used to ensure that the humidity of the operation and maintenance terminal operating environment is within a reasonable range to avoid adverse effects of excessive or low humidity on the operation and maintenance terminal. Leakage detection is used to promptly detect and deal with leakage problems to ensure the safety of personnel and equipment. Power consumption detection is used to monitor the energy consumption of equipment, optimize energy efficiency, and reduce Operating costs, battery detection is used for battery-powered devices to monitor battery status, predict replacement time, and avoid service interruptions caused by sudden power outages. Network anomaly detection is used to monitor network connection status, promptly discover and solve network problems, and ensure the continuity and stability of data transmission. Destruction detection is used to monitor whether the operation and maintenance terminal is physically damaged or illegally invaded through physical sensors or video monitoring. The maintenance system integrates data collection, transmission, correlation analysis, model building, front-end and back-end interaction, etc. to form a closed-loop operation and maintenance monitoring and prediction system, which realizes accurate monitoring, anomaly detection, life prediction and maintenance time point recommendations of operation and maintenance terminals, thereby greatly improving the efficiency and accuracy of operation and maintenance.

[0049] See also Figure 2 , Figure 7 and Fig. 9 , an embodiment of the present invention: an intelligent communication system operation and maintenance terminal maintenance device, a storage plate 8 is installed inside the maintenance box 1, and the top of the storage plate 8 is in contact with the bottom of the data collector 2, a data storage device 1 3 and a data storage device 2 4 are installed on the top of the storage plate 8, the output end of the data collector 2 is connected to the input end of the data storage device 1 3 and the data storage device 2 4 respectively, a central processing unit 1 9 and a storage device 10 are installed on the bottom wall of the maintenance box 1, the storage device 10 is located on one side of the central processing unit 1 9, the output end of the data storage device 2 4 is connected to the input end of the central processing unit 1 9, the output end of the central processing unit 1 9 is connected to the input end of the storage device 10, and the central processing unit 1 9 is equipped with a monitoring system, and the monitoring system includes identity authentication and authorization, operation log recording, security auditing, and real-time monitoring and alarming;

[0050] Identity authentication and authorization: ensure that only authorized personnel can access and operate the operation and maintenance terminal and record it in the storage 10;

[0051] Operation log record: record all operations in detail, including operation time, operator and operation content;

[0052] Security audit: Regularly conduct security audits on log records to check whether there are any abnormal incidents of unauthorized access and third-party tampering;

[0053] Real-time monitoring and alarm: Real-time monitoring of the operating status of the data storage device 24 and the access to the operation and maintenance terminal, and triggering the alarm mechanism when abnormal events are detected to notify relevant personnel for processing.

[0054] Data storage 1 3 combines NoSQL to store real-time data, and data storage 2 4 uses a relational database to store user data configuration information and historical records.

[0055] Furthermore, the data storage device 13 is used to store the real-time data of the operation status of the operation and maintenance terminal collected in the data collector 2. The data storage device 24 can not only be used to store user data configuration information and historical records, but also monitor whether the user who sent the operation and maintenance request has the authorization qualification through the central processor 19 when the data collector 2 receives the operation and maintenance request sent by the front end. If so, the operation information is recorded in the storage device 10 and transmitted to the load balancer 7, so that the switch 12 or the converter 13 works. On the contrary, if the authorization qualification is not met, the alarm mechanism is triggered;

[0056] The monitoring system can record in detail who, when, where and how the operation and maintenance terminal was operated, and through real-time monitoring and recording, ensure that only authorized personnel can access and operate, so that the monitoring system can promptly detect and prevent third parties from illegally accessing and tampering with the data storage device, ensuring the integrity and security of the data. Identity authentication and authorization can be achieved through a variety of identity authentication methods such as user name and password, digital certificate and biometrics. The monitoring system should be able to monitor the operating status and access of the operation and maintenance terminal in real time. Once abnormal behavior is found, the alarm mechanism will be triggered immediately to notify relevant personnel to handle it, and the log information of the monitoring system will be regularly audited to check whether there are security incidents such as unauthorized access and tampering, and timely take remedial measures to further improve the security protection level of the operation and maintenance terminal.

[0057] See also Figure 6 and Figure 8An embodiment of the present invention is: an intelligent communication system operation and maintenance terminal maintenance device, a storage slot 5 is provided on the top of the maintenance box 1, a slot hole is penetrated through the outer wall of one side of the maintenance box 1, and the slot hole is connected to the storage slot 5, a connecting line 6 is placed inside the storage slot 5, one end of the connecting line 6 passes through the inside of the slot hole and is connected to a load balancer 7, and the load balancer 7 is used to distribute the front-end request to the back-end server, and dynamically adjust the distribution strategy according to the performance and load of the back-end server, a central processing unit 2 11 is installed inside the load balancer 7, and a switch 12 and a converter 13 are installed at the output end of the central processing unit 2 11, and the converter 13 is located on one side of the switch 12, and the other end of the connecting line 6 is connected to the output end of the data storage device 1 3.

[0058] Furthermore, multiple operation and maintenance terminals are deployed. When an operation and maintenance terminal fails, the communication network can quickly switch to a backup operation and maintenance terminal, thereby avoiding operation and maintenance interruptions and ensuring the continuity and stability of operation and maintenance work. Multiple operation and maintenance terminals can be distributed in different geographical locations or network nodes to achieve distributed operation and maintenance. In this way, even if a certain area or node fails, the operation and maintenance terminals in other areas can still work normally. Multiple operation and maintenance terminals also support parallel processing, that is, multiple operation and maintenance personnel can operate different operation and maintenance terminals at the same time to monitor, manage and maintain the communication network, thereby shortening the fault response time and improving the operation and maintenance efficiency.

[0059] The load balancer 7 is used to distribute front-end requests to the back-end server. After confirming that the user who applied for the request is qualified, the distribution strategy is dynamically adjusted according to the performance and load of the back-end server. In the process of adjusting the distribution strategy, the central processor 2 11 is combined to analyze and process the received data, and according to the results of the analysis and processing, the switch 12 is started to perform line connection and disconnection operations or the converter 13 is started to quickly switch the communication network to the backup operation and maintenance terminal, thereby avoiding operation and maintenance interruptions and ensuring the continuity and stability of the operation and maintenance work.

[0060] See also Figure 3 and Fig. 9 An embodiment of the present invention is: an intelligent communication system operation and maintenance terminal maintenance device, the back-end server includes a data analysis and prediction unit, an automatic fault diagnosis unit, a maintenance decision support unit, a resource optimization scheduling unit and a mobile and remote operation and maintenance unit, the data analysis and prediction unit uses a central processing unit 19 and a central processing unit 2 11 to analyze historical and real-time data, and transmits the analyzed data to an abnormal analysis model for training, the automatic fault diagnosis unit formulates an operation and maintenance strategy according to the output result of the abnormal analysis model, the maintenance decision support unit enriches the operation and maintenance strategy according to business needs and the status of the operation and maintenance terminal, the resource optimization scheduling unit optimizes the allocation and use of maintenance resources, and the mobile and remote operation and maintenance unit supports remote monitoring and management of mobile devices.

[0061] Furthermore, after collecting the real-time operating status data of the operation and maintenance terminal, the data collector 2 performs anomaly detection and correlation analysis through a machine learning algorithm, and then builds an anomaly analysis model. It uses advanced machine learning and pattern recognition technology to transmit the analyzed historical and real-time data of the operation and maintenance terminal to the anomaly analysis model, and continuously adjusts and optimizes the analysis model and algorithm parameters to improve the accuracy and efficiency of anomaly detection, so that the anomaly analysis model can identify current faults and predict possible anomalies and performance degradation trends in the future, thereby helping the operation and maintenance personnel to take measures in advance through predictive maintenance to avoid the occurrence of faults, and in the communication system When an abnormality occurs in the operation and maintenance terminal, the communication system will be switched to the backup operation and maintenance terminal, and the maintenance device can automatically diagnose the fault, quickly and accurately determine the root cause of the problem, and help the operation and maintenance personnel to quickly repair the fault. Based on the collected data, equipment status and historical maintenance records, it helps the operation and maintenance personnel to formulate more scientific maintenance strategies, assist the operation and maintenance personnel to optimize the allocation and use of maintenance resources, improve resource utilization efficiency, and reduce operation and maintenance costs. Remote monitoring and management can be carried out by logging into the user interface through mobile devices, so that the operation and maintenance personnel can monitor and intervene in the operation and maintenance terminal in real time at any location and at any time, which improves the flexibility and efficiency of maintenance to a certain extent.

[0062] See also Figure 4 An embodiment of the present invention is: an intelligent communication system operation and maintenance terminal maintenance device, the maintenance resources include personnel, spare parts and tools, and the formulated operation and maintenance strategies include daily inspections, operation and maintenance terminal status diagnosis, compliance inspections, risk point inspections, data flow inspections and personalized inspections.

[0063] Furthermore, maintenance resources include regular technical, safety, compliance and other aspects of training for the operation and maintenance team to improve the overall capabilities of the team, reasonably predict and reserve key spare parts based on the configuration and failure history of the operation and maintenance terminals, reduce downtime caused by spare parts shortages, regularly check inventory to ensure that the quantity and quality of spare parts meet demand, and establish a rapid deployment mechanism for spare parts to ensure that the required spare parts can be quickly obtained when a failure occurs. Use performance analysis tools to regularly analyze the operation and maintenance terminals to promptly identify and resolve potential problems.

[0064] Daily inspections include regular inspections and log recording, setting fixed inspection times and cycles, conducting comprehensive inspections of hardware, software, and networks, and recording the inspection process and problems found in detail to provide a basis for subsequent analysis and improvement;

[0065] The operation and maintenance terminal status diagnosis includes real-time monitoring and fault diagnosis. The operation and maintenance terminal is monitored in real time through monitoring software to ensure that the terminal is in normal status. The terminal is troubleshooted using diagnostic tools to quickly locate and solve the problem.

[0066] Compliance checks include policy compliance and regular audits to ensure that the system construction and operation and maintenance process complies with relevant national, industry and corporate policies and standards. Regular compliance audits are conducted to ensure that the system continues to meet compliance requirements.

[0067] Risk point inspection includes risk assessment and risk response. Regular risk assessment is conducted on operation and maintenance terminals to identify potential security threats and vulnerabilities, develop and implement risk response strategies, and reduce the possibility and impact of risks.

[0068] Data flow inspection includes data monitoring and anomaly analysis. It monitors data flow in real time to ensure the integrity and accuracy of data transmission, analyzes abnormal data flow, and promptly discovers and handles potential data security issues.

[0069] Personalized inspections include business needs and flexible adjustments. Personalized inspection items and processes are formulated based on business characteristics and needs, and inspection strategies and methods are flexibly adjusted based on the operating status of the operation and maintenance terminals and business development.

[0070] Further, the method of using the operation and maintenance terminal maintenance device is as follows:

[0071] S1. Before using the maintenance device, first connect the data storage device 1 3 and the load balancer 7 together through the connecting line 6, then receive the status data and front-end data of the operation and maintenance terminal through the data collector 2, and store the received status data and front-end data in the data storage device 1 3 and the data storage device 2 4 respectively;

[0072] S2, then the real-time status data of the operation and maintenance terminal collected is transmitted to the abnormal analysis model for training through the data storage device 3, and the output result is transmitted to the front-end user interface through the wireless network, so as to facilitate the user to send a request to the load balancer 7 according to the detection result;

[0073] S3. When the load balancer 7 receives an operation and maintenance request from the front end, the central processor 1 9 searches the front end data in the data storage device 2 4 to confirm whether the user sending the request has the authority to access and operate the operation and maintenance terminal. When the user sending the request has the authority, the central processor 2 11 receives the request and chooses to turn on the switch 12 or the converter 13 according to the content of the request. Otherwise, an early warning report is sent to the operation and maintenance personnel.

[0074] In S3, it also includes:

[0075] S31, the switch 12 is used to cut off the communication line and start and stop the single operation and maintenance terminal, and the converter 13 is used to switch to the backup operation and maintenance terminal when the single operation and maintenance terminal fails or has a performance degradation trend.

[0076] Working principle: Data storage device 13 is used to store the real-time data of the operation status of the operation and maintenance terminal collected in the data collector 2, and to perform predictive maintenance on the operation and maintenance terminal through the operation and maintenance system. Data storage device 24 can not only be used to store user data configuration information and historical records, but also monitor whether the user who sent the operation and maintenance request has the authorization qualification through the central processor 19 when the data collector 2 receives the operation and maintenance request sent by the front end. If so, the operation information is recorded in the storage device 10, and the record of who operated it is ensured that it is not tampered with by a third party, and is transmitted to the load balancer 7, so that the switch 12 can cut off the communication line and the start and stop of a single operation and maintenance terminal. The converter 13 can switch to the backup operation and maintenance terminal when a single operation and maintenance terminal fails or there is a trend of performance degradation. It can also start the heating device or cooling fan through the central processor 2 11 to heat or cool the operation and maintenance device according to the needs of operation and maintenance. On the contrary, if the authorization qualification is not met, the alarm mechanism is triggered to notify the relevant personnel to handle it.

[0077] It will be apparent to those skilled in the art that the invention is not limited to the details of the exemplary embodiments described above and that the invention can be implemented in other specific forms without departing from the spirit or essential features of the invention. Therefore, the embodiments should be considered exemplary and non-limiting in all respects, and the scope of the invention is defined by the appended claims rather than the foregoing description, and it is intended that all variations falling within the meaning and scope of the equivalent elements of the claims be included in the invention. Any reference numeral in a claim should not be considered as limiting the claim to which it relates.

Claims

1. An intelligent communication system operation and maintenance terminal maintenance device, characterized in that: It comprises a maintenance box (1), wherein the maintenance box (1) is equipped with a maintenance system, and the maintenance system uses data analysis and machine learning algorithms to monitor the operating status of the operation and maintenance terminal and predict the service life and maintenance time point of the operation and maintenance terminal; The maintenance system comprises a data collection unit, a data transmission unit, a correlation analysis unit, a model building unit, a front-end and a back-end server, wherein the data collection unit comprises a data collector (2) installed in a maintenance box (1), and the data collector (2) collects operating status data of an operation and maintenance terminal through a sensor, the data transmission unit transmits the operating status data to the correlation analysis unit using a wireless network, the correlation analysis unit uses a machine learning algorithm to perform anomaly detection of multiple indicators and performs correlation analysis in combination with the operating status data, the model building unit builds an anomaly analysis model based on the result of the correlation analysis, the anomaly analysis model identifies current anomalies and predicts anomalies that will occur in the future based on machine learning and pattern recognition technology, the front-end uses a mature front-end framework to build a user interface, the front-end uses WebSocKet technology to achieve two-way communication with the back-end server, the back-end server is responsible for processing requests sent by the front-end, and the back-end server interacts with the correlation analysis unit and the model building unit to obtain analysis results and prediction information and returns the information to the front-end for display; Anomaly detection includes temperature detection, humidity detection, leakage detection, power consumption detection, battery detection, network anomaly detection and sabotage detection; The maintenance box (1) is provided with a storage plate (8) inside, and the top of the storage plate (8) is in contact with the bottom of the data collector (2). The top of the storage plate (8) is provided with a data storage device 1 (3) and a data storage device 2 (4). The output end of the data collector (2) is connected to the input end of the data storage device 1 (3) and the input end of the data storage device 2 (4). The bottom wall of the maintenance box (1) is provided with a central processing unit 1 (9) and a storage device (10). The storage device (10) is located on one side of the central processing unit 1 (9). The output end of the data storage device 2 (4) is connected to the input end of the central processing unit 1 (9). The output end of the central processing unit 1 (9) is connected to the input end of the storage device (10). The central processing unit 1 (9) is provided with a monitoring system. The monitoring system includes identity authentication and authorization, operation log recording, security auditing, and real-time monitoring and alarming. Identity authentication and authorization: ensure that only authorized personnel can access and operate the operation and maintenance terminal and record it in the storage device (10); Operation log record: record all operations in detail, including operation time, operator and operation content; Security audit: Regularly conduct security audits on log records to check whether there are any abnormal incidents of unauthorized access and third-party tampering; Real-time monitoring and alarm: real-time monitoring of the operating status of data storage device 2 (4) and the access to the operation and maintenance terminal, and triggering the alarm mechanism when abnormal events are detected, notifying relevant personnel to handle the situation; The back-end server includes a data analysis and prediction unit, an automatic fault diagnosis unit, a maintenance decision support unit, a resource optimization and scheduling unit, and a mobile and remote operation and maintenance unit. The data analysis and prediction unit uses a central processing unit 1 (9) and a central processing unit 2 (11) to analyze historical and real-time data, and transmits the analyzed data to an abnormal analysis model for training. The automatic fault diagnosis unit formulates an operation and maintenance strategy based on the output of the abnormal analysis model. The maintenance decision support unit enriches the operation and maintenance strategy based on business needs and the status of the operation and maintenance terminal. The resource optimization and scheduling unit optimizes the allocation and use of maintenance resources. The mobile and remote operation and maintenance unit supports remote monitoring and management of mobile devices.

2. The intelligent communication system operation and maintenance terminal maintenance device according to claim 1, characterized in that: The maintenance box (1) is provided with a storage slot (5) on the top, and a slot hole is provided through an outer wall of one side of the maintenance box (1), and the slot hole is connected to the storage slot (5). A connecting wire (6) is placed inside the storage slot (5), and one end of the connecting wire (6) passes through the inside of the slot hole and is connected to a load balancer (7), and the load balancer (7) is used to distribute the front-end request to the back-end server and dynamically adjust the distribution strategy according to the performance and load of the back-end server. A central processing unit 2 (11) is installed inside the load balancer (7), and a switch (12) and a converter (13) are installed at the output end of the central processing unit 2 (11), and the converter (13) is located on one side of the switch (12).

3. The intelligent communication system operation and maintenance terminal maintenance device according to claim 1 is characterized in that: The maintenance resources include personnel, spare parts and tools.

4. The intelligent communication system operation and maintenance terminal maintenance device according to claim 1, characterized in that: The formulated operation and maintenance strategies include daily inspections, operation and maintenance terminal status diagnosis, compliance checks, risk point checks, data flow inspections and personalized inspections.

5. The intelligent communication system operation and maintenance terminal maintenance device according to claim 2, characterized in that: The other end of the connecting line (6) is connected to the output end of the data storage device 1 (3).

6. The intelligent communication system operation and maintenance terminal maintenance device according to claim 1, characterized in that: The data storage device 1 (3) combines NoSQL to store real-time data, and the data storage device 2 (4) uses a relational database to store user data configuration information and historical records.

7. A method for using an intelligent communication system operation and maintenance terminal maintenance device, applicable to an intelligent communication system operation and maintenance terminal maintenance device according to claim 2, characterized in that: The method of using the operation and maintenance terminal maintenance device is as follows: S1. Before using the maintenance device, firstly connect the data storage device 1 (3) and the load balancer (7) together through the connection line (6), then receive the status data and front-end data of the operation and maintenance terminal through the data collector (2), and store the received status data and front-end data in the data storage device 1 (3) and the data storage device 2 (4) respectively; S2, then the real-time status data of the operation and maintenance terminal collected is transmitted to the abnormal analysis model through the data storage device 1 (3) for training, and the output result is transmitted to the front-end user interface through the wireless network, so that the user can send a request to the load balancer (7) according to the detection result; S3. When the load balancer (7) receives an operation and maintenance request from the front end, the central processor 1 (9) searches the front end data in the data storage device 2 (4) to confirm whether the user who sends the request has the authority to access and operate the operation and maintenance terminal. When the user who sends the request has the authority, the central processor 2 (11) receives the request and selects to open the switch (12) or the converter (13) according to the content of the request. Otherwise, an early warning report is sent to the operation and maintenance personnel.

8. The method for using the intelligent communication system operation and maintenance terminal maintenance device according to claim 7, characterized in that: In S3, it also includes: S31, the switch (12) is used to cut off the communication line and start and stop the single operation and maintenance terminal, and the converter (13) is used to switch to the backup operation and maintenance terminal when the single operation and maintenance terminal fails or has a performance degradation trend.

Images