Safety perception early warning digital intelligent operation and maintenance platform

Abstract

The invention relates to the technical field of power systems, in particular to a safety perception early warning digital intelligent operation and maintenance platform. Comprising a real-time monitoring module, a data analysis module, an energy consumption management module, a fault early warning module, a fault positioning analysis module, an operation and maintenance decision support module, a digital intelligent operation and maintenance terminal and a communication module, and the real-time monitoring module comprises an equipment state unit, a data collection unit and an event response unit. The fault early warning module comprises a fault early warning model unit, a fault response unit, a fault feedback unit and a system interface unit, and the real-time monitoring module, the data analysis module, the energy consumption management module, the fault early warning module, the fault positioning analysis module and the operation and maintenance decision support module are all connected with the communication module. According to the design, various devices in a power system are monitored in real time, device faults are found and processed in time, and the operation states of the devices are mastered; and the fault of the equipment is early warned, the equipment fault is found in advance, and maintenance processing is carried out in time.

Description

Technical Field

[0001] The present invention relates to the technical field of power systems, and in particular to a security perception and early warning digital intelligent operation and maintenance platform. Background Art

[0002] Nowadays, the power system is developing rapidly, the scale of the power system is constantly expanding, and the number of power equipment is also constantly increasing. Therefore, in order to ensure the stability of the power system operation, the power system needs to be maintained frequently. The current power system operation and maintenance method mainly relies on regular manual inspections, recording the equipment operation information in a register, and then publishing the recorded equipment operation information and arranging maintenance personnel to perform maintenance and repairs.

[0003] However, in the existing technology, the traditional power plant operation and maintenance methods have many shortcomings, such as low efficiency of manual inspections, untimely discovery of safety hazards, and lack of data support for operation and maintenance decisions. Summary of the invention

[0004] The purpose of the present invention is to provide a safety perception and early warning digital operation and maintenance platform, which aims to solve the many shortcomings of the traditional power plant operation and maintenance methods in the prior art, such as low efficiency of manual inspections, untimely discovery of safety hazards, and lack of data support for operation and maintenance decisions.

[0005] To achieve the above-mentioned purpose, the present invention adopts a security perception and early warning digital intelligent operation and maintenance platform, including a real-time monitoring module, a data analysis module, an energy consumption management module, a fault early warning module, a fault location analysis module, an operation and maintenance decision support module and a digital intelligent operation and maintenance terminal, wherein the real-time monitoring module includes a device status unit, a data collection unit and an event response unit, the data analysis module includes a data processing unit and a real-time analysis unit, the energy consumption management module includes an energy consumption data acquisition unit, an energy monitoring unit, an energy statistics unit and a key equipment management unit, the fault early warning module includes a fault early warning model unit, a fault response unit, a fault feedback unit and a system interface unit, the digital intelligent operation and maintenance terminal is connected to a communication module, and the real-time monitoring module, the data analysis module, the energy consumption management module, the fault early warning module, the fault location analysis module and the operation and maintenance decision support module are all connected to the communication module;

[0006] The device status unit is used to monitor the current, voltage and load parameters in the power system in real time;

[0007] The data collection unit is used to collect data through various sensors and smart meters;

[0008] The event response unit is used to start immediately when an abnormal situation is detected;

[0009] The data processing unit is used to remove noise, detect outliers, and standardize data;

[0010] The real-time analysis unit is used to perform in-depth analysis on the processed data using advanced algorithms and technologies;

[0011] The energy consumption data collection unit is used to collect energy consumption data in real time through smart electricity meters, water meters, gas meters and heat meters installed in the power system;

[0012] The energy monitoring unit is used to monitor energy consumption in real time, detect abnormal consumption in time, and take corresponding measures;

[0013] The energy statistics unit is used to perform statistical analysis on various energy consumption data and generate energy consumption reports;

[0014] The key equipment management unit is used to carry out special management of key energy-consuming equipment and optimize the equipment operation efficiency;

[0015] The fault warning model unit is used to build a fault warning model based on historical fault data and current operation data;

[0016] The fault response unit is used to release the warning information to relevant personnel or systems in a timely manner;

[0017] The fault feedback unit is used for feedback mechanism to continuously optimize the fault warning model and warning strategy;

[0018] The system interface unit is used to integrate the fault warning module with other related systems and equipment to achieve data sharing and interaction;

[0019] The communication module is used for real-time communication transmission between multiple units.

[0020] Wherein, the fault location analysis module includes a fault identification unit and a fault location unit, and both the fault identification unit and the fault location unit are connected to the communication module;

[0021] The fault identification unit is used to identify the type, location and possible impact range of the fault by setting a threshold and building a model;

[0022] The fault location unit is used to further determine the specific location of the fault based on fault detection and identification.

[0023] Wherein, the operation and maintenance decision support module includes a data integration unit, a decision model construction unit and a decision support unit, and the data integration unit, the decision model construction unit and the decision support unit are all connected to the communication module;

[0024] The data integration unit is used to perform in-depth analysis on the integrated data, extract key information, and identify potential problems and trends;

[0025] The decision model building unit is used to build an operation and maintenance decision model based on historical operation and maintenance data and current operation status;

[0026] The decision support unit is used to display key indicators and trends in the form of charts and dashboards to help operation and maintenance personnel quickly understand the system status.

[0027] Wherein, the operation and maintenance decision support module further includes a knowledge management unit and an optimization unit, and both the knowledge management unit and the optimization unit are connected to the communication module;

[0028] The knowledge management unit is used to integrate the knowledge base and case base related to operation and maintenance, and provide knowledge support for operation and maintenance decision-making;

[0029] The optimization unit is used to optimize and improve the operation and maintenance decision support module according to the feedback results.

[0030] The security perception warning digital intelligent operation and maintenance platform further includes a report generation module and a user interface module, and both the report generation module and the user interface module are connected to the communication module;

[0031] The report generation module is used for the collaborative work of various units and can generate detailed, accurate and intuitive operation and maintenance reports to provide powerful decision-making support for operation and maintenance personnel;

[0032] The user interface module is used to provide users with a good interactive experience through the coordinated work of various units.

[0033] Wherein, the report generation module includes an early warning report production unit, a data report production unit and a report template design unit, and the early warning report production unit, the data report production unit and the report template design unit are all connected to the communication module;

[0034] The warning report production unit is used to generate specific information of the equipment when the warning occurs;

[0035] The data report production unit is used to generate information of monitoring data;

[0036] The report template design unit is used to provide a variety of preset report templates.

[0037] Wherein, the report generation module further comprises a data sorting unit, and the data sorting unit is connected to the communication module;

[0038] The data sorting unit is used to uniformly manage and archive the generated reports.

[0039] Wherein, the user interface module includes a login unit, a navigation unit and a data visualization unit, and the login unit, the navigation unit and the data visualization unit are all connected to the communication module;

[0040] The login unit is used to provide a user login function to ensure that only authenticated users can access the platform;

[0041] The navigation unit is used to provide a clear navigation menu to help users quickly find the required functions and pages;

[0042] The data visualization unit is used to display operation and maintenance data and analysis results in the form of charts and dashboards, so that users can intuitively understand the system status.

[0043] Wherein, the user interface module further includes a notification unit; the notification unit is connected to the communication module;

[0044] The notification unit is used to display the alarm information of the system in real time.

[0045] Wherein, the user interface module further comprises a control unit, and the control unit is connected to the communication module;

[0046] The control unit is used to provide operation and control functions for platform functions.

[0047] A security perception and early warning digital and intelligent operation and maintenance platform of the present invention comprises a real-time monitoring module, a data analysis module, an energy consumption management module, a fault early warning module, a fault location analysis module, an operation and maintenance decision support module and a digital and intelligent operation and maintenance terminal, wherein the real-time monitoring module comprises an equipment status unit, a data collection unit and an event response unit, the data analysis module comprises a data processing unit and a real-time analysis unit, the energy consumption management module comprises an energy consumption data acquisition unit, an energy monitoring unit, an energy statistics unit and a key equipment management unit, the fault early warning module comprises a fault early warning model unit, a fault response unit, a fault feedback unit and a system interface unit, and the digital and intelligent operation and maintenance terminal is connected with a communication module through The real-time monitoring module monitors various equipment in the power system in real time, promptly detects and handles equipment failures to avoid accidents; and the operating status of the system; analyzes data in the power system, grasps the operating status of the equipment, predicts the maintenance cycle of the equipment, and improves the operating efficiency of the equipment; provides total energy consumption, energy statistics, cost analysis, energy reports, and year-on-year analysis functions to help users fully understand energy consumption and discover potential energy efficiency problems; provides equipment failure warnings, detects equipment failures in advance, and performs maintenance in a timely manner to avoid accidents; the fault location analysis module can quickly locate power system faults and perform cause analysis to help users quickly resolve faults. BRIEF DESCRIPTION OF THE DRAWINGS

[0048] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.

[0049] Figure 1 It is a schematic diagram of the principle of the security perception and early warning digital intelligent operation and maintenance platform of the present invention.

[0050] Figure 2 It is a schematic diagram of the principle of the real-time monitoring module in the security perception and early warning digital operation and maintenance platform of the present invention.

[0051] Figure 3 It is a schematic diagram of the principles of the data analysis module in the security perception and early warning digital operation and maintenance platform of the present invention.

[0052] Figure 4 It is a schematic diagram of the principles of the energy consumption management module in the security perception and early warning digital operation and maintenance platform of the present invention.

[0053] Figure 5 It is a schematic diagram of the principle of the fault warning module in the security perception and warning digital operation and maintenance platform of the present invention.

[0054] Figure 6 It is a schematic diagram of the principle of the fault location analysis module in the security perception and early warning digital operation and maintenance platform of the present invention.

[0055] Figure 7 It is a schematic diagram of the principles of the operation and maintenance decision support module in the security perception and early warning digital operation and maintenance platform of the present invention.

[0056] Figure 8 It is a schematic diagram of the principle of the report generation module in the security perception and early warning digital operation and maintenance platform of the present invention.

[0057] Fig. 9 It is a schematic diagram of the principle of the user interface module in the security perception and early warning digital operation and maintenance platform of the present invention.

[0058] Fig.10 It is a schematic diagram of the principles of security protection in the security perception and early warning digital intelligent operation and maintenance platform of the present invention.

[0059] 1- Real-time monitoring module, 2- Data analysis module, 3- Energy consumption management module, 4- Fault warning module, 5- Fault location analysis module, 6- Operation and maintenance decision support module, 7- Digital operation and maintenance terminal, 8- Equipment status unit, 9- Data collection unit, 10- Event response unit, 11- Data processing unit, 12- Real-time analysis unit, 13- Energy consumption data collection unit, 14- Energy monitoring unit, 15- Energy statistics unit, 16- Key equipment management unit, 17- Fault warning model unit, 18- Fault response unit, 19- Fault feedback unit, 20- System interface unit, 21- Communication module, 22- Fault identification unit, 23- Fault location unit, 24- Data integration unit, 25- Decision model construction unit, 26- Decision support unit, 27- Knowledge management unit, 28- Optimization unit, 29- Report generation module, 30- User interface module, 31- Early warning report production unit, 32- Data report production unit, 33- Report template design unit, 34- Data collation unit, 35- Login unit, 36- Navigation unit, 37- Data visualization unit, 38- Control unit, 39- Notification unit, 40- Log unit, 41- User feedback unit, 42- Personalization unit, 43- Report output unit, 44- Report input unit, 45- Permission management unit, 46- Network security protection unit, 47- System security protection unit, 48- Data encryption unit, 49- Access control unit, 50- Log management unit, 51- Emergency reset unit, 52- Security protection module. DETAILED DESCRIPTION

[0060] Embodiments of the present invention are described in detail below, examples of which are shown in the accompanying drawings, wherein the same or similar reference numerals throughout represent the same or similar elements or elements having the same or similar functions. The embodiments described below with reference to the accompanying drawings are exemplary and are intended to be used to explain the present invention, and should not be construed as limiting the present invention.

[0061] See also Figures 1 to 10, the present invention provides a security perception and early warning digital intelligent operation and maintenance platform, including a real-time monitoring module 1, a data analysis module 2, an energy consumption management module 3, a fault early warning module 4, a fault location analysis module 5, an operation and maintenance decision support module 6 and a digital intelligent operation and maintenance terminal 7, the real-time monitoring module 1 includes a device status unit 8, a data collection unit 9 and an event response unit 10, the data analysis module 2 includes a data processing unit 11 and a real-time analysis unit 12, the energy consumption management module 3 includes an energy consumption data acquisition unit 13, an energy monitoring unit 14, an energy statistics unit 15 and a key equipment management unit 16, the fault early warning module 4 includes a fault early warning model unit 17, a fault response unit 18, a fault feedback unit 19 and a system interface unit 20, the digital intelligent operation and maintenance terminal 7 is connected to a communication module 21, the real-time monitoring module 1, the data analysis module 2, the energy consumption management module 3, the fault early warning module 4, the fault location analysis module 5, the operation and maintenance decision support module 6 are all connected to the communication module 21;

[0062] The device status unit 8 is used to monitor the current, voltage and load parameters in the power system in real time;

[0063] The data collection unit 9 is used to collect data through various sensors and smart meters;

[0064] The event response unit 10 is used to start immediately when an abnormal situation is detected;

[0065] The data processing unit 11 is used to remove noise, detect outliers, and standardize data;

[0066] The real-time analysis unit 12 is used to perform in-depth analysis on the processed data using advanced algorithms and technologies;

[0067] The energy consumption data collection unit 13 is used to collect energy consumption data in real time through smart electricity meters, water meters, gas meters and heat meters installed in the power system;

[0068] The energy monitoring unit 14 is used to monitor energy consumption in real time, detect abnormal consumption in time, and take corresponding measures;

[0069] The energy statistics unit 15 is used to perform statistical analysis on various energy consumption data and generate energy consumption reports;

[0070] The key equipment management unit 16 is used to perform special management on key energy-consuming equipment and optimize the equipment operation efficiency;

[0071] The fault warning model unit 17 is used to build a fault warning model based on historical fault data and current operation data;

[0072] The fault response unit 18 is used to release the warning information to relevant personnel or systems in a timely manner;

[0073] The fault feedback unit 19 is used for feedback mechanism to continuously optimize the fault warning model and warning strategy;

[0074] The system interface unit 20 is used to integrate the fault warning module 4 with other related systems and devices to achieve data sharing and interaction;

[0075] The communication module 21 is used for real-time communication transmission between multiple units.

[0076] In this embodiment, the device status unit 8 can ensure that the device operates in the best condition and promptly detect and deal with any factors that may cause system instability; the effective data collection mechanism of the data collection unit 9 can provide an accurate and comprehensive information basis for subsequent data analysis; the event response unit 10 can automatically perform predefined operations, such as sending alarm notifications to the maintenance team, or in some cases directly adjusting system settings to try to correct the problem; this rapid response capability is the key to preventing small problems from turning into major accidents; once the data is collected by the data processing unit 11, it needs to be cleaned and preprocessed by the data processing unit 11; the real-time analysis unit 12 is the core part, which uses advanced algorithms and technologies to conduct in-depth analysis of the processed data, which may include trend analysis, pattern recognition, and predictive modeling; the energy consumption data acquisition unit 13 is responsible for connecting the terminal smart meter with the platform application The energy monitoring unit 14 formulates an energy use plan to ensure that energy supply matches demand; the energy statistics unit 15 analyzes the composition of energy costs to help enterprises understand the proportion and development trend of energy costs; the fault warning model unit 17 predicts the type and probability of possible future faults through a model, and sets a corresponding warning threshold. When the real-time data reaches or exceeds the warning threshold, the warning mechanism is triggered; once the fault warning is triggered, the fault response unit 18 is responsible for promptly issuing the warning information to relevant personnel or systems. The warning information may include the type, location, severity, and recommended countermeasures of the fault; after the warning is issued, the fault feedback unit 19 is responsible for tracking the fault handling process, recording the handling results and feedback, and may include the guidance of the fault handling process, the monitoring of the progress of the fault handling, and the evaluation of the handling results.

[0077] Further, the fault location analysis module 5 includes a fault identification unit 22 and a fault location unit 23, and both the fault identification unit 22 and the fault location unit 23 are connected to the communication module 21;

[0078] The fault identification unit 22 is used to identify the type, location and possible impact range of the fault by setting thresholds and building models;

[0079] The fault location unit 23 is used to further determine the specific location of the fault based on fault detection and identification.

[0080] In this embodiment, the fault identification unit 22 uses advanced technologies such as big data analysis and machine learning to deeply mine and analyze the preprocessed data to detect potential faults; the fault location unit 23, based on fault detection and identification, further determines the specific location of the fault, analyzes the cause of the fault, the degree of impact, and the possible propagation path, and provides decision support for subsequent fault handling and recovery.

[0081] Further, the operation and maintenance decision support module 6 includes a data integration unit 24, a decision model construction unit 25 and a decision support unit 26, and the data integration unit 24, the decision model construction unit 25 and the decision support unit 26 are all connected to the communication module 21;

[0082] The data integration unit 24 is used to perform in-depth analysis on the integrated data, extract key information, and identify potential problems and trends;

[0083] The decision model building unit 25 is used to build an operation and maintenance decision model based on historical operation and maintenance data and current operation status;

[0084] The decision support unit 26 is used to display key indicators and trends in the form of charts and dashboards to help operation and maintenance personnel quickly understand the system status.

[0085] In this embodiment, the data integration unit 24 is responsible for integrating operation and maintenance data from different devices and systems, including performance data, log data, and alarm data. It can use advanced technologies such as big data analysis and machine learning to improve the accuracy and efficiency of data analysis; the decision model construction unit 25 continuously optimizes the decision model to improve the accuracy and practicality of the decision; it may include risk prediction models and resource optimization models to provide a scientific basis for operation and maintenance decisions; the decision support unit 26 provides an intuitive decision support interface for operation and maintenance personnel, displays analysis results and decision suggestions, provides intelligent recommendations and early warning functions, and promptly reminds operation and maintenance personnel to pay attention to potential problems and risks.

[0086] Furthermore, the operation and maintenance decision support module 6 further includes a knowledge management unit 27 and an optimization unit 28, and both the knowledge management unit 27 and the optimization unit 28 are connected to the communication module 21;

[0087] The knowledge management unit 27 is used to integrate the knowledge base and case base related to operation and maintenance, and provide knowledge support for operation and maintenance decision-making;

[0088] The optimization unit 28 is used to optimize and improve the operation and maintenance decision support module according to the feedback results.

[0089] In this embodiment, the knowledge management unit 27 supports the learning and growth of operation and maintenance personnel, provides training materials and online learning resources, and continuously optimizes the performance and functions of the operation and maintenance decision support module through continuous learning and knowledge updating; the optimization unit 28 collects the actual execution status and effect feedback of the operation and maintenance decisions, forming a closed-loop feedback mechanism, and continuously improving the scientificity and accuracy of the operation and maintenance decisions.

[0090] Furthermore, the security perception warning digital intelligence operation and maintenance platform also includes a report generation module 29 and a user interface module 30, and the report generation module 29 and the user interface module 30 are both connected to the communication module 21;

[0091] The report generation module 29 is used for the collaborative work of various units and can generate detailed, accurate and intuitive operation and maintenance reports to provide powerful decision-making support for operation and maintenance personnel;

[0092] The user interface module 30 is used to provide a good interactive experience for the user through the coordinated work of various units.

[0093] In this embodiment, the report generation module 29 can generate detailed, accurate and intuitive operation and maintenance reports through the collaborative work of various units, providing powerful decision support for operation and maintenance personnel; the user interface module 30 provides users with a good interactive experience through the collaborative work of various units.

[0094] Further, the report generation module 29 includes an early warning report production unit 31, a data report production unit 32 and a report template design unit 33, and the early warning report production unit 31, the data report production unit 32 and the report template design unit 33 are all connected to the communication module 21;

[0095] The warning report production unit 31 is used to generate specific information of the equipment when a warning occurs;

[0096] The data report production unit 32 is used to generate information of monitoring data;

[0097] The report template design unit 33 is used to provide a variety of preset report templates.

[0098] In this embodiment, the early warning report production unit 31 and the data report production unit 32 automatically generate operation and maintenance reports based on preset templates or custom templates, combined with analysis data and visual charts; the report template design unit 33 supports custom template functions, allowing operation and maintenance personnel to adjust the structure and content of the report according to actual needs.

[0099] Furthermore, the report generation module 29 further includes a data collating unit 34, and the data collating unit 34 is connected to the communication module 29;

[0100] The data sorting unit 29 is used to centrally manage and archive the generated reports.

[0101] In this embodiment, the data sorting unit 34 provides report search and filtering functions to help operation and maintenance personnel quickly find the required reports.

[0102] Further, the user interface module 30 includes a login unit 35, a navigation unit 36 ​​and a data visualization unit 37, and the login unit 35, the navigation unit 36 ​​and the data visualization unit 37 are all connected to the communication module 29;

[0103] The login unit 35 is used to provide a user login function to ensure that only authenticated users can access the platform;

[0104] The navigation unit 36 ​​is used to provide a clear navigation menu to help users quickly find the desired functions and pages;

[0105] The data visualization unit 37 is used to display operation and maintenance data and analysis results in the form of charts and dashboards, so that users can intuitively understand the system status.

[0106] In this embodiment, the login unit 35 supports multiple authentication methods, such as user name and password, SMS verification code, and biometrics, to improve security. The navigation unit 36 ​​supports a custom menu function, allowing users to adjust the menu layout according to their own usage habits; the data visualization unit 37 supports multiple visualization types, such as line charts, bar charts, and pie charts, to meet the needs of different scenarios.

[0107] Furthermore, the user interface module 30 further includes a notification unit 39; the notification unit 39 is connected to the communication module 21;

[0108] The notification unit 39 is used to display the alarm information of the system in real time.

[0109] In this embodiment, the notification unit 39 provides multiple notification methods, such as sound prompts, pop-up window prompts, and email notifications, to ensure that the user can receive the alarm information in time.

[0110] Furthermore, the user interface module further includes a control unit 38, and the control unit 38 is connected to the communication module 21;

[0111] The control unit 38 is used to provide operation and control functions for platform functions.

[0112] In this embodiment, the control unit 38 supports batch operations and automated script execution to improve operation and maintenance efficiency.

[0113] Furthermore, the report production module also includes a report output unit 43 , a report input unit 44 and a permission management unit 45 , and the report output unit 43 , the report input unit 44 and the permission management unit 45 are all connected to the communication module 21 .

[0114] The report output unit 43 is used to print paper versions of various reports;

[0115] The report input unit 44 is used to collect various data;

[0116] The authority management unit 45 is used to perform authority management on the report generation module 29 to ensure that only authorized users can access and edit reports.

[0117] In this embodiment, the report output unit 43 supports multiple report output formats, such as PDF, Word, and HTML, to meet the needs of different users, and provides a report sharing function, allowing operation and maintenance personnel to share reports with others via email or cloud disk; the permission management unit 45 implements security control measures to protect the confidentiality and integrity of report data.

[0118] Furthermore, the user interface module 30 further includes a log unit 40, a user feedback unit 41 and a personalized setting unit 42, and the log unit 40, the user feedback unit 41 and the personalized setting unit 42 are all connected to the communication module 21;

[0119] The log unit 40 is used to provide report generation and log viewing functions to help users understand the historical operation status of the system;

[0120] The user feedback unit 41 is used to provide a user feedback function, allowing users to feedback problems and suggestions to the platform;

[0121] The personalized setting unit 42 is used to allow users to perform personalized settings according to their own usage habits and needs, such as theme color and font size.

[0122] In this embodiment, the log unit 40 supports report export and log download functions to facilitate users to perform subsequent analysis and processing; the user feedback unit 41 provides help documents and online support functions to help users solve problems during use; the personalization unit 42 supports multi-language switching functions to meet the needs of users in different countries and regions.

[0123] Furthermore, the security perception warning digital intelligent operation and maintenance platform also includes a security protection module 52, and the security protection module 52 includes a network security protection unit 46, a system security protection unit 47, a data encryption unit 48, an access control unit 49, a log management unit 50 and an emergency reset unit 51, and the network security protection unit 46, the system security protection unit 47, the data encryption unit 48, the access control unit 49, the log management unit 50 and the emergency reset unit 51 are all connected to the communication module 21;

[0124] The network security protection unit 46 is responsible for monitoring and defending against network attacks, such as DDoS attacks, SQL injections, and cross-site scripting attacks;

[0125] The system security protection unit 47 is used to provide security protection for the server, operating system and application program where the operation and maintenance platform is located;

[0126] The data encryption unit 48 is used to encrypt, store and transmit sensitive data to ensure the security of the data during transmission and storage;

[0127] The access control unit 49 is used to ensure the authenticity and credibility of the user's identity by adopting multi-factor authentication and biometric identification techniques;

[0128] The log management unit 50 is used to record and analyze security events and log information during the operation of the platform;

[0129] The emergency reset unit 51 is used to formulate a detailed emergency response plan and disaster recovery strategy.

[0130] In this embodiment, the network security protection unit 46 adopts technical means such as firewall, intrusion detection system (IDS), and intrusion prevention system (IPS) to ensure security at the network level; the system security protection unit 47 includes measures such as regularly updating patches, configuring security policies, and restricting access rights to prevent the system from being maliciously exploited; the data encryption unit 48 complies with relevant laws, regulations and privacy policies to protect user privacy and data security; the access control unit 49 implements fine-grained access control strategies to limit different users' access rights to platform functions and data; the log management unit 50 provides security audit reports and log query functions to help operation and maintenance personnel promptly discover and deal with potential security risks; the emergency reset unit 51 quickly activates the emergency response mechanism when a security incident or system failure occurs to restore the normal operation of the platform and data integrity.

[0131] What is disclosed above is only a preferred embodiment of the present invention, and it certainly cannot be used to limit the scope of rights of the present invention. Ordinary technicians in this field can understand that all or part of the processes of the above embodiment and equivalent changes made according to the claims of the present invention still fall within the scope of the invention.

Claims

1. A security perception and early warning digital intelligence operation and maintenance platform, characterized in that: It includes a real-time monitoring module, a data analysis module, an energy consumption management module, a fault warning module, a fault location analysis module, an operation and maintenance decision support module and a digital and intelligent operation and maintenance end. The real-time monitoring module includes a device status unit, a data collection unit and an event response unit. The data analysis module includes a data processing unit and a real-time analysis unit. The energy consumption management module includes an energy consumption data acquisition unit, an energy monitoring unit, an energy statistics unit and a key equipment management unit. The fault warning module includes a fault warning model unit, a fault response unit, a fault feedback unit and a system interface unit. The digital and intelligent operation and maintenance end is connected to a communication module. The real-time monitoring module, the data analysis module, the energy consumption management module, the fault warning module, the fault location analysis module and the operation and maintenance decision support module are all connected to the communication module. The device status unit is used to monitor the current, voltage and load parameters in the power system in real time; The data collection unit is used to collect data through various sensors and smart meters; The event response unit is used to start immediately when an abnormal situation is detected; The data processing unit is used to remove noise, detect outliers, and standardize data; The real-time analysis unit is used to perform in-depth analysis on the processed data using advanced algorithms and technologies; The energy consumption data collection unit is used to collect energy consumption data in real time through smart electricity meters, water meters, gas meters and heat meters installed in the power system; The energy monitoring unit is used to monitor energy consumption in real time, detect abnormal consumption in time, and take corresponding measures; The energy statistics unit is used to perform statistical analysis on various energy consumption data and generate energy consumption reports; The key equipment management unit is used to carry out special management of key energy-consuming equipment and optimize the equipment operation efficiency; The fault warning model unit is used to build a fault warning model based on historical fault data and current operation data; The fault response unit is used to release the warning information to relevant personnel or systems in a timely manner; The fault feedback unit is used for feedback mechanism to continuously optimize the fault warning model and warning strategy; The system interface unit is used to integrate the fault warning module with other related systems and equipment to achieve data sharing and interaction; The communication module is used for real-time communication transmission between multiple units.

2. The security perception and early warning digital intelligence operation and maintenance platform according to claim 1 is characterized in that: The fault location analysis module includes a fault identification unit and a fault location unit, and both the fault identification unit and the fault location unit are connected to the communication module; The fault identification unit is used to identify the type, location and possible impact range of the fault by setting a threshold and building a model; The fault location unit is used to further determine the specific location of the fault based on fault detection and identification.

3. The security perception and early warning digital intelligence operation and maintenance platform according to claim 2 is characterized in that: The operation and maintenance decision support module includes a data integration unit, a decision model construction unit and a decision support unit, and the data integration unit, the decision model construction unit and the decision support unit are all connected to the communication module; The data integration unit is used to perform in-depth analysis on the integrated data, extract key information, and identify potential problems and trends; The decision model building unit is used to build an operation and maintenance decision model based on historical operation and maintenance data and current operation status; The decision support unit is used to display key indicators and trends in the form of charts and dashboards to help operation and maintenance personnel quickly understand the system status.

4. The security perception and early warning digital intelligence operation and maintenance platform according to claim 3 is characterized in that: The operation and maintenance decision support module also includes a knowledge management unit and an optimization unit, and both the knowledge management unit and the optimization unit are connected to the communication module; The knowledge management unit is used to integrate the knowledge base and case base related to operation and maintenance, and provide knowledge support for operation and maintenance decision-making; The optimization unit is used to optimize and improve the operation and maintenance decision support module according to the feedback results.

5. The security perception and early warning digital intelligence operation and maintenance platform according to claim 4 is characterized in that: The security perception and early warning digital intelligent operation and maintenance platform also includes a report generation module and a user interface module, and the report generation module and the user interface module are both connected to the communication module; The report generation module is used for the collaborative work of various units and can generate detailed, accurate and intuitive operation and maintenance reports to provide powerful decision-making support for operation and maintenance personnel; The user interface module is used to provide users with a good interactive experience through the coordinated work of various units.

6. The security perception and early warning digital intelligence operation and maintenance platform according to claim 5 is characterized in that: The report generation module includes an early warning report production unit, a data report production unit and a report template design unit, and the early warning report production unit, the data report production unit and the report template design unit are all connected to the communication module; The warning report production unit is used to generate specific information of the equipment when the warning occurs; The data report production unit is used to generate information of monitoring data; The report template design unit is used to provide a variety of preset report templates.

7. The security perception and early warning digital intelligence operation and maintenance platform according to claim 6 is characterized in that: The report generation module further includes a data collating unit, and the data collating unit is connected to the communication module; The data sorting unit is used to uniformly manage and archive the generated reports.

8. The security perception and early warning digital intelligence operation and maintenance platform according to claim 7 is characterized in that: The user interface module includes a login unit, a navigation unit and a data visualization unit, and the login unit, the navigation unit and the data visualization unit are all connected to the communication module; The login unit is used to provide a user login function to ensure that only authenticated users can access the platform; The navigation unit is used to provide a clear navigation menu to help users quickly find the required functions and pages; The data visualization unit is used to display operation and maintenance data and analysis results in the form of charts and dashboards, so that users can intuitively understand the system status.

9. The security perception and early warning digital intelligence operation and maintenance platform according to claim 8, characterized in that: The user interface module further includes a notification unit; the notification unit is connected to the communication module; The notification unit is used to display the alarm information of the system in real time.

10. The security perception and early warning digital intelligence operation and maintenance platform according to claim 9, characterized in that: The user interface module also includes a control unit, and the control unit is connected to the communication module; The control unit is used to provide operation and control functions for platform functions.

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