Railway station photovoltaic roof health monitoring integrated system

Abstract

The invention discloses a photovoltaic roof health monitoring integrated system for a railway station. The system comprises an information collection system which collects photovoltaic roof BIM three-dimensional model information and GIS model data and performs three-dimensional visual display; the equipment management system is used for monitoring states of various monitoring equipment and recording operation data; the early warning management system is used for analyzing the dynamic database set threshold value and the grade early warning abnormal data; the management and maintenance system automatically generates an inspection task according to a period and records an execution condition; and the reporting system is used for summarizing information, generating various reports and supporting export. The system solves the problems of multi-dimensional data integration, intelligent fault prediction and early warning, data transmission processing real-time performance, unified management and the like, improves the operation and maintenance efficiency and management cost, has flexibility and expansibility, adapts to different photovoltaic roof requirements, effectively makes up for the defects in the prior art, and provides comprehensive guarantee for railway station photovoltaic roof health monitoring.

Description

Technical Field

[0001] The present invention relates to the technical field of building structure health monitoring, and particularly to an integrated system for health monitoring of a photovoltaic roof of a railway passenger station. Background Art

[0002] At present, the application of photovoltaic roofs in railway passenger station buildings shows a relatively wide trend. The health monitoring system of photovoltaic roofs mainly focuses on the monitoring of electrical performance and fault alarm, but most systems only pay attention to electrical parameters such as current and voltage, lacking comprehensive monitoring of the roof structure health and environmental factors. The existing systems cannot integrate and analyze electrical performance, structural health and environmental factors, resulting in an incomplete roof health assessment. Most of the existing fault warning mechanisms are also based on simple threshold alarms, lacking intelligent fault diagnosis and prediction functions, which limits the system's response ability in complex situations.

[0003] Patent document CN202310823050.9 discloses a BIPV intelligent roof and photovoltaic power station monitoring and operation and maintenance system, including a roof safety monitoring subsystem, a photovoltaic monitoring subsystem, a wireless transmission module and a background data processing center; the roof safety monitoring subsystem includes several stress and strain sensors, water level sensors, meteorological monitoring stations and signal collectors, and the photovoltaic monitoring subsystem includes data collectors, string monitors, inverter monitors, infrared meter readers and environmental monitors; the data of the environmental monitor, string monitor and inverter monitor are collected by the data collector, and the infrared meter reader and the data collector then send the collected signals to the background data processing center through the wireless transmission module for analysis and processing. The present invention integrates the roof safety monitoring subsystem and the photovoltaic monitoring subsystem to comprehensively monitor and manage the photovoltaic and roof systems, ensuring the safe and efficient operation of the BIPV on the metal roof. However, in this system, monitoring, equipment management and task scheduling usually operate independently, lacking a unified management platform, which affects the system's collaborative efficiency and maintenance convenience.

[0004] Patent document CN202310431493.3 discloses a digital system and method for the three-dimensional development of rail transit stations. The system includes a facility layer, a data layer, an application service layer, a user layer, and a terminal. The facility layer includes network resources, computing resources, storage resources, cloud deployment, and Internet of Things perception. The data layer is divided into data resources and data management. The data resources part includes BIM, GIS, planning and design data, construction data, and structural health monitoring data. The data management part collects, cleans, stores, governs, and analyzes data based on the platform's functional requirements. The application service layer includes basic modules, planning modules, design modules, construction modules, and operation and maintenance modules. The user layer is the personnel using the platform. The terminal is the output terminal of the digital platform for the three-dimensional development of rail transit stations. The present invention establishes a digital management platform based on technologies such as BIM, GIS, big data, and cloud computing, providing important support for the construction of rail transit station three-dimensional development projects. However, in this system, monitoring, equipment management, and task scheduling usually operate independently, lacking a unified management platform, which affects the system's collaborative efficiency and maintenance convenience. Summary of the Invention

[0005] The present invention aims to solve the problem of multi-dimensional data integration. By integrating data on electrical performance, structural health, and environmental factors, it realizes comprehensive monitoring of the health of photovoltaic roofs. At the same time, it is necessary to construct an intelligent fault prediction and early warning mechanism, using intelligent analysis and big data technologies to identify potential faults in advance, rather than simply relying on threshold alarms. In addition, improving the real-time performance of data transmission and processing to avoid the impact of network latency on fault response is also an urgent problem to be solved. To improve operation and maintenance efficiency, a unified management platform is urgently needed to integrate monitoring data, equipment management, and task scheduling functions, simplify the operation process, and improve work efficiency. Finally, the system should have good flexibility and scalability to meet the needs of different scales and types of photovoltaic roofs, facilitating later upgrades and maintenance.

[0006] To achieve the above objectives, the present invention provides an integrated system for monitoring the health of photovoltaic roofs of railway stations, including:

[0007] An information collection system for collecting information related to the photovoltaic roofs of each railway station, storing the collected relevant information in a static database, and displaying the stored information through three-dimensional visualization;

[0008] An equipment management system for managing and monitoring the status of all monitoring equipment on the photovoltaic roofs of each railway station, recording the operating data of the equipment, and storing the operating data in a dynamic database;

[0009] An early warning management system for analyzing the dynamic database, setting thresholds and monitoring levels, and giving early warnings for data exceeding the levels;

[0010] A maintenance and management system, which is used to automatically push inspection tasks to on-site operation and maintenance personnel according to the set maintenance cycle, and automatically generate daily inspection, regular inspection and special inspection tasks.

[0011] A reporting system, which is used to summarize according to warning events and the maintenance and management system, and generate event reports and maintenance and management reports.

[0012] Furthermore, the information collected by the information collection system includes the BIM three-dimensional model information of the photovoltaic roof and the GIS model data of the photovoltaic roof, and visualizes the three-dimensional roof information and geographical location of the photovoltaic roof of the railway station through BIM+GIS technology. Users can view the information management set of the photovoltaic roofs of each railway station on the visualization interface.

[0013] Furthermore, the information management set includes the basic situation of the photovoltaic roof, monitoring data, and maintenance records.

[0014] Furthermore, the monitoring equipment includes electrical monitoring equipment, meteorological monitoring equipment, structural monitoring equipment, and environmental monitoring equipment.

[0015] Furthermore, the electrical monitoring equipment includes one or several of current sensors, voltage sensors, leakage sensors, frequency sensors, and power sensors. The meteorological monitoring equipment includes meteorological monitoring stations. The structural monitoring equipment includes one or several of displacement sensors, stress sensors, strain gauges, vibration sensors, accelerometers, inclinometers, and deflection gauges. The environmental monitoring equipment includes one or several of water level gauges, temperature and humidity sensors, and wind speed and direction sensors.

[0016] Furthermore, the early warning management system analyzes the dynamic database, sets thresholds and monitoring levels, and gives early warnings for data exceeding the levels. Specifically, it includes obtaining the dynamic database dataset; evaluating the early warning threshold and level for the dataset, removing some abnormal data through intelligent algorithms, and the remaining normal data enters the next step. For normal data, no early warning is given and it is directly displayed on the platform; pushing the early warning event information corresponding to the remaining normal data after being processed by the intelligent algorithm to the platform administrator; after receiving the early warning event information, the platform administrator initiates an analysis and evaluation and arranges on-site inspections for handling; judging whether the on-site inspections solve the early warning problem. If it is solved, the early warning problem is handled. If not, expert evaluation is arranged until the early warning problem is solved.

[0017] Furthermore, the intelligent algorithms include one or several of Isolation Forest, Z-Score, DBSCAN, K-Nearest Neighbor, Autoencoder, and One-Class SVM.

[0018] Furthermore, the maintenance system also includes recording the task execution status, supporting task tracking and feedback, ensuring the timely completion of tasks and recording historical data to guarantee the regular and effective maintenance of the photovoltaic roof.

[0019] Furthermore, record the task execution status, including inspection details, processing procedures, processing results, etc.

[0020] Furthermore, the reporting system can provide functions such as generating and exporting maintenance reports, event reports, regular reports, etc.; at the same time, it can automatically generate reports based on real-time data and historical records and provide the function of exporting reports in multiple formats.

[0021] The beneficial effects of the present invention are as follows:

[0022] Integrate data on electrical performance, structural health, and environmental factors, overcome the limitation of traditional systems that only focus on electrical parameters, achieve a comprehensive assessment of the health of the photovoltaic roof, and provide a more accurate basis for operation and maintenance. Use intelligent analysis and big data technology to build a mechanism, break through the simple threshold alarm mode, identify potential faults in advance, enhance the system's response ability in complex situations, and effectively prevent faults from occurring. Create a unified management platform, integrate monitoring data, equipment management, and task scheduling functions, simplify the operation process, improve operation and maintenance efficiency, reduce management costs, optimize resource allocation. The system design is flexible and scalable, can adapt to different scales and types of photovoltaic roofs, is convenient for later upgrade and maintenance, adapts to the development of the industry and diverse application requirements, extends the service life of the system, and reduces repeated construction investment. Description of the Drawings

[0023] In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings required for describing the embodiments will be briefly introduced below. Obviously, the drawings in the following description are only some embodiments of the present invention. For those of ordinary skill in the art, without creative efforts, other drawings can be obtained based on these drawings and other implementation manners can be obtained. In the drawings:

[0024] Figure 1 It is the overall architecture diagram of the photovoltaic roof health monitoring system for railway stations.

[0025] Figure 2 It is the schematic diagram of the photovoltaic roof information interface.

[0026] Figure 3 It is the schematic diagram of the equipment management system interface.

[0027] Figure 4 It is the schematic diagram of alarm event processing. Detailed Embodiments

[0028] The following will further describe in detail the specific embodiments of the present invention in conjunction with the accompanying drawings and embodiments. The following embodiments are used to illustrate the present invention, but are not used to limit the scope of the present invention.

[0029] It should be understood that when used in this specification and the appended claims, the term "comprising" indicates the presence of the described features, wholes, steps, operations, elements and / or components, but does not exclude the presence or addition of one or more other features, wholes, steps, operations, elements, components and / or groups.

[0030] To make the drawings concise, only the parts related to the present invention are schematically shown in each drawing, and they do not represent the actual structure of the product. In addition, to make the drawings concise and easy to understand, in some drawings, components with the same structure or function are only schematically shown one of them, or only one of them is marked. In this article, "one" not only means "only this one", but also can mean "more than one" situation.

[0031] It should also be further understood that the term "and / or" used in the description of this application and the appended claims refers to any combination and all possible combinations of one or more of the associated listed items, and includes these combinations.

[0032] In the embodiments shown in the drawings, the indication of directions (such as up, down, left, right, front and back) is used to explain that the structures and movements of various components of the present invention are not absolute but relative. When these components are in the positions shown in the drawings, these explanations are appropriate. If the description of the positions of these components changes, then the indication of these directions also changes accordingly.

[0033] In addition, in the description of this application, the terms "first", "second", etc. are only used for distinguishing descriptions, and cannot be understood as indicating or implying relative importance.

[0034] To more clearly illustrate the technical solutions in the embodiments of the present invention or the prior art, the specific embodiments of the present invention will be described below with reference to the accompanying drawings.

[0035] Figure 1 is the overall architecture diagram of the photovoltaic roof health monitoring system of the railway passenger station, including:

[0036] 1. Information collection system

[0037] This system realizes the three-dimensional visualization of the photovoltaic roof through BIM+GIS technology and displays the photovoltaic roof information of all high-speed railway passenger stations responsible for monitoring in the map background. Users can view the photovoltaic roof monitoring data and status of each passenger station on the map, including information such as current, voltage, temperature, humidity, and structural information, and store this information in the static database.

[0038] Functional features:

[0039] (1) Provide visual display of three-dimensional roof structure.

[0040] (2) Display real-time monitoring data and support quick viewing of various sensor data in the data display bar.

[0041] (3) Roof information introduction function to display the basic situation of each roof (such as installation time, maintenance time, photovoltaic roof area, etc.).

[0042] (4) Record and manage roof file information, including installation, maintenance, and replacement records, facilitating quick query of relevant data by later maintenance personnel.

[0043] Figure 2 Schematic diagram of the photovoltaic roof information interface, mainly centered around the static database.

[0044] In the static database, it includes three parts: GIS geographical model, BIM three-dimensional model, and information management set. The GIS geographical model visualizes the three-dimensional information and geographical location of the photovoltaic roof of the railway station building through BIM+GIS technology, enabling relevant personnel to intuitively understand the geographical distribution of the photovoltaic roof. The BIM three-dimensional model shows the basic situation of the photovoltaic roof, including design construction drawings, installation time, etc., which are crucial for understanding the construction background and structural characteristics of the photovoltaic roof. The information management set includes monitoring data display and maintenance record display, which can help managers view the operation data and maintenance status of the photovoltaic roof in real time, facilitating timely problem discovery and effective operation and maintenance management.

[0045] Generally speaking, this interface comprehensively displays relevant information of the photovoltaic roof by integrating GIS and BIM technologies, contributing to improving the management and operation and maintenance efficiency of the photovoltaic roof.

[0046] 2. Equipment management system

[0047] This module is used to manage the status of all monitoring equipment on the photovoltaic roofs of each railway passenger station, including electrical monitoring equipment, meteorological monitoring equipment, structural monitoring equipment, and environmental monitoring equipment. Electrical monitoring equipment includes: current sensors, voltage sensors, leakage sensors, frequency sensors, power sensors. Meteorological monitoring equipment includes: meteorological monitoring stations. Structural monitoring equipment includes: displacement sensors, stress sensors, strain gauges, vibration sensors, accelerometers, inclinometers, deflection gauges. Environmental monitoring equipment includes: water level gauges, temperature and humidity sensors, wind speed and direction sensors. It can monitor the working status of sensors in real time, record the operation data of the equipment, and store these data in the dynamic database.

[0048] Functional features:

[0049] (1) Monitor the status of sensors in real time.

[0050] (2) Provide equipment management functions that can display the working status, fault information and maintenance records of each device.

[0051] (3) Support the management relationship between devices and help operation and maintenance personnel understand the linkage relationship between devices.

[0052] Figure 3 This is a schematic diagram of the device management system interface, which is mainly used to display the relevant data of various monitoring devices. In the upper part of the interface, there is an area called "Sensor Type Online Rate", which lists four different types of monitoring devices, including electrical monitoring equipment, meteorological monitoring equipment, structural monitoring equipment, and environmental monitoring equipment. Each device has a corresponding online percentage display box. These percentage data can intuitively reflect the current online status of various devices, helping managers quickly understand whether the equipment is operating normally.

[0053] On the left side of the lower half of the interface is a pie chart of "Sensor Type Proportion", which can clearly show the proportion of different types of sensors in the overall situation, helping to grasp the distribution of various types of sensors from a macro perspective. On the right side is the "Device Operation Trend" area. Although there is no specific data in the diagram, it can be inferred that this is used to show the trend of changes in the operating status of the device over a period of time, which is very helpful for analyzing the long-term performance of the device and predicting potential problems.

[0054] In general, this equipment management system interface presents key information such as equipment online rate, type ratio and operation trend in a concise and clear manner, which can assist managers to effectively monitor and maintain equipment.

[0055] 3. Early warning management system

[0056] The system sets thresholds for each monitoring parameter in the dynamic database, sets warning levels, issues warnings for data that exceeds the warning level, and screens the generated monitoring data to remove data of abnormal events through algorithms. Warning information is displayed on the platform with evaluation level, monitoring type, monitoring indicator number, and alarm time. At the same time, the warning information is pushed to the platform administrator, who initiates analysis and evaluation and enters the warning management process. The warning management process is closed through two methods: on-site personnel or expert analysis.

[0057] Features:

[0058] Automatically identify and generate alarm events such as equipment failures, abnormal environmental conditions, etc.

[0059] Supports alarm event list to facilitate viewing and management of various alarm events.

[0060] Provides a workbench for analyzing and warning events, and supports diagnosis and treatment suggestions for photovoltaic roof safety warnings through human data analysis.

[0061] Figure 4 The early warning management system is a schematic diagram of alarm event processing. First, the sensor monitoring data set is obtained, and then the early warning threshold and level are evaluated for these data. After the evaluation, an intelligent algorithm is used to eliminate some abnormal data, and the normal data is directly displayed on the platform. At the same time, the early warning event information corresponding to the normal data will be displayed on the platform and pushed to the platform administrator. After receiving the early warning event, the platform administrator initiates analysis and evaluation, and arranges on-site inspections. After the on-site inspections, it is determined whether the early warning problem has been solved. If the early warning problem is solved, the processing flow ends. If the early warning problem is not solved, an expert is arranged to conduct an evaluation until the early warning problem is solved. This method ensures effective early warning and processing of abnormal situations in sensor monitoring data through layer-by-layer screening and processing.

[0062] The intelligent algorithm for intelligently eliminating data may be a conventional algorithm in the art, such as one or more of Isolation Forest, Z-Score, DBSCAN, K-Nearest Neighbor, Autoencoder, and One-Class SVM.

[0063] 4. Management and maintenance system

[0064] The maintenance system is a comprehensive system that focuses on task management and task delegation. Its core function is to ensure that the photovoltaic roof can be regularly and effectively maintained in a scientific and reasonable manner. Through intelligent algorithms and precise logic design, the system can automatically arrange various maintenance tasks such as daily inspections, regular inspections, and special inspections. In addition, the system plays a role in full monitoring during the entire maintenance process, and can record in detail the entire process of each task from the beginning to the final completion, providing a solid guarantee for the long-term stable operation of the photovoltaic roof.

[0065] Features:

[0066] Automated task generation and delegation

[0067] The system has a highly automated task generation mechanism that can accurately formulate maintenance tasks such as daily inspections, regular inspections, and special inspections according to pre-set rules and the actual operating conditions of the photovoltaic roof. In terms of generating daily inspection tasks, the system comprehensively considers factors such as the operating duration, usage frequency of roof equipment, and environmental factors, and scientifically plans the daily inspection routes, inspection time points, and key inspection areas. For regular inspection tasks, the system accurately generates corresponding inspection plans according to the maintenance cycles of different equipment, such as monthly, quarterly, or annual inspection requirements, to ensure that the key performance indicators and potential safety hazards of the equipment can be periodically checked. In the generation of special inspection tasks, the system can keenly capture special situations such as after extreme weather or abnormal fluctuations in equipment performance, and promptly generate targeted special inspection tasks, such as the waterproof sealing inspection of photovoltaic panels after strong winds and heavy rains, or the power generation efficiency inspection of photovoltaic modules when the power generation drops abnormally.

[0068] Once the tasks are generated, the system will automatically assign these maintenance tasks to the corresponding operation and maintenance personnel. Through the personnel management module within the system, tasks can be reasonably allocated based on factors such as the professional skills, work experience, and current workload of the operation and maintenance personnel, ensuring that each task can be executed by the most suitable personnel.

[0069] Comprehensive record of task execution

[0070] The system can record all aspects of the task execution process in detail and comprehensively. In terms of recording inspection details, for each inspection or check, the system will record the inspection time, location, inspection personnel, inspection tools and equipment used, and the specific inspection results for each key part of the photovoltaic roof (such as photovoltaic panels, brackets, electrical connection systems, etc.), including the appearance status of the equipment, operating parameters, and whether there are signs of damage or aging. In the record of the handling process, when problems are found, the system will record in detail the handling measures taken by the operation and maintenance personnel, such as the cleaning method and cleaning time for minor dirt on the surface of photovoltaic panels, or the tightening operation steps for loose electrical connections. At the same time, for the handling results, the system will record whether the problem has been completely solved, whether the operating status of the equipment has returned to normal after handling, and whether follow-up inspections are required.

[0071] Efficient task tracking and feedback mechanism

[0072] The system has established a complete task tracking and feedback mechanism to ensure that every maintenance task can be completed on time and with high quality. Starting from task assignment, the system will track the progress of task execution in real time. The operation and maintenance personnel can feedback the task execution status to the system at any time through mobile terminal devices, such as status information like having arrived at the inspection location, being in the process of inspection operation, and having discovered problems and are dealing with them. If a task fails to be completed within the scheduled time, the system will automatically send reminder and warning messages to notify relevant management personnel and operation and maintenance personnel, so as to take timely measures for intervention and avoid operation failures or safety hazards on the photovoltaic roof caused by task delays. At the same time, the system will completely save the execution data and historical records of each task. These historical data can not only provide a reference basis for subsequent maintenance decisions, such as analyzing the periodic laws of equipment failures and evaluating the effects of different maintenance strategies, but also provide accurate and reliable evidence support in case of quality disputes or liability determination issues.

[0073] 5. Reporting System

[0074] This system has comprehensive and powerful report generation and export functions, including various types of reports such as maintenance reports, event reports, and regular reports. The system can make full use of the real-time collected data and rich historical records, and through built-in intelligent algorithms and logical processing, achieve automated report generation operations. Moreover, to meet the usage needs of users in different scenarios, the system provides diverse report export formats, such as PDF format and Excel format, etc. Users can easily export the generated reports for archiving or sharing with other relevant personnel.

[0075] Functional Features:

[0076] Automatic Report Generation

[0077] The system supports the automated generation of maintenance reports, event reports, and regular reports. When generating a maintenance report, the system will comprehensively consider various data such as the operation status of equipment, maintenance records, and performance indicators to comprehensively present the maintenance situation of the equipment. For event reports, the system can quickly capture key information such as the occurrence time, event type, handling process, and handling results of various events and organize them into a well-structured report. In terms of generating regular reports, the system summarizes and analyzes the overall operation situation of the system, data change trends, etc. according to the preset time period to provide users with comprehensive regular reports.

[0078] Report Template Customization

[0079] The system provides a rich variety of report templates for users to choose from. These templates cover various common report formats and content frameworks. At the same time, users can also flexibly customize the report templates according to their specific needs. Whether it is the data display method, chapter structure in the report, or the specific data content and analysis dimensions, users can make personalized settings and adjustments to ensure that the generated report can accurately meet their business needs.

[0080] Report export function

[0081] The system fully supports report export operations. Users can easily export the generated reports into various formats, such as the PDF format which is convenient for reading and printing, and the Excel format which is suitable for data analysis and processing, etc. This diverse selection of export formats greatly facilitates users to archive and share reports. Whether storing the report in the local file system for subsequent reference or sharing the report with team members, superiors, or other relevant partners via email, etc., it can be easily achieved, effectively improving work efficiency and the convenience of information circulation.

[0082] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention and not to limit them. Although the present invention has been described in detail with reference to the above embodiments, those of ordinary skill in the art should understand that: still modifications or equivalent replacements can be made to the specific implementation manners of the present invention, and any modification or equivalent replacement without departing from the spirit and scope of the present invention shall be covered by the protection scope of the claims of the present invention.

Claims

1. A photovoltaic roof health monitoring integrated system for railway passenger stations, characterized in that: include: An information collection system is used to collect information related to the photovoltaic roofs of various railway passenger stations, store the collected relevant information in a static database, and display the stored information through three-dimensional visualization; Equipment management system, used to manage and monitor the status of all monitoring equipment on the photovoltaic roofs of each railway passenger station, record the operating data of the equipment, and store the operating data in a dynamic database; The early warning management system analyzes the dynamic database, sets thresholds and monitoring levels, and issues early warnings for data that exceeds the level; The management and maintenance system is used to automatically push inspection tasks to on-site operation and maintenance personnel according to the set maintenance cycle, and automatically produce daily inspections, regular inspections and special inspection tasks; The reporting system is used to summarize early warning events and the management and maintenance system to generate event reports and maintenance reports.

2. The photovoltaic roof health monitoring integrated system for railway passenger stations according to claim 1 is characterized in that: The information collected by the information collection system includes photovoltaic roof BIM three-dimensional model information and photovoltaic roof GIS model data, and the three-dimensional roof information and geographical location of the railway passenger station photovoltaic roof are visualized through BIM+GIS technology. Users can view the information management set of the photovoltaic roof of each passenger station on the visualization interface.

3. The photovoltaic roof health monitoring integrated system for railway passenger stations according to claim 2 is characterized in that: The information management set includes basic information of photovoltaic roofs, monitoring data, and maintenance records.

4. The photovoltaic roof health monitoring integrated system for railway passenger stations according to claim 1 is characterized in that: The monitoring equipment includes electrical monitoring equipment, meteorological monitoring equipment, structural monitoring equipment, and environmental monitoring equipment.

5. The photovoltaic roof health monitoring integrated system for railway passenger stations according to claim 4 is characterized in that: The electrical monitoring equipment includes one or more of a current sensor, a voltage sensor, a leakage sensor, a frequency sensor, and a power sensor; the meteorological monitoring equipment includes a meteorological monitoring station; the structural monitoring equipment includes one or more of a displacement sensor, a stress sensor, a strain gauge, a vibration sensor, an accelerometer, an inclinometer, and a deflectometer; and the environmental monitoring equipment includes one or more of a water level meter, a temperature and humidity sensor, and a wind speed and direction sensor.

6. The photovoltaic roof health monitoring integrated system for railway passenger stations according to claim 1 is characterized in that: The early warning management system analyzes the dynamic database, sets thresholds and monitoring levels, and issues early warnings for data that exceeds the levels. Specifically, it obtains the dynamic database data set; performs early warning threshold and level assessment on the data set, removes some abnormal data through intelligent algorithms, and the remaining normal data enters the next step. Normal data is not warned and is directly displayed on the platform; the warning event information corresponding to the remaining normal data after being processed by the intelligent algorithm is pushed to the platform administrator; After receiving the warning event information, the platform administrator initiates analysis and evaluation and arranges on-site inspection and processing; Determine whether the on-site inspection has resolved the warning problem. If so, the warning problem is resolved. If not, arrange for expert evaluation until the warning problem is resolved.

7. The photovoltaic roof health monitoring integrated system for railway passenger stations according to claim 6 is characterized in that: The intelligent algorithms include one or more of Isolation Forest, Z-Score, DBSCAN, K-Nearest Neighbor, Autoencoder, and One-Class SVM.

8. The photovoltaic roof health monitoring integrated system for railway passenger stations according to claim 1 is characterized in that: The management and maintenance system also includes recording the task execution status and supporting task tracking and feedback, ensuring that the task is completed on time and recording historical data, and ensuring that the photovoltaic roof is regularly and effectively maintained.

9. The photovoltaic roof health monitoring integrated system for railway passenger stations according to claim 8 is characterized in that: Record the task execution status, including inspection details, processing process, processing results, etc.

10. The photovoltaic roof health monitoring integrated system for railway passenger stations according to claim 1 is characterized in that: The reporting system can provide the functions of generating and exporting management and maintenance reports, event reports, regular reports, etc.; it can also automatically generate reports based on real-time data and historical records, and provide the function of exporting reports in multiple formats.

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