Intelligent operation and maintenance system for urban rail power supply

Abstract

The utility model relates to intelligent operation and maintenance technical field discloses a kind of urban rail power supply intelligent operation and maintenance systems, including several data perception system substation layer, power supply intelligent operation and maintenance operation management layer and front-end display layer;The several data perception system substation layer with the power supply intelligent operation and maintenance operation management layer communication connection, for gathering including heterogeneous data of internet-of-things equipment data, mobile terminal data and power monitoring system data, and the heterogeneous data transmission to the power supply intelligent operation and maintenance operation management layer;The power supply intelligent operation and maintenance operation management layer with the front-end display layer communication connection, for the unified correlation processing of received heterogeneous data, generates the operation and maintenance data containing job, personnel and material linkage relationship;The front-end display layer is used to show the operation and maintenance data, and receives interactive operation instruction for job management, personnel management and material management.The utility model improves the accuracy and efficiency of urban rail power supply intelligent operation and maintenance.

Description

Technical Field

[0001] This utility model relates to the field of intelligent operation and maintenance technology, and more specifically, to an intelligent operation and maintenance system for urban rail power supply. Background Technology

[0002] The power supply system of urban rail transit is the core foundation for ensuring train operation and stable station operation. With the continuous expansion of urban rail lines and stations in recent years, the structure of the power supply system has become increasingly complex, and the size of equipment and maintenance pressure have continued to increase. The traditional operation and maintenance management model is facing severe challenges in ensuring the safe and reliable operation of large-scale power supply networks.

[0003] In existing technologies, urban rail power supply operation and maintenance management typically relies on multiple independently constructed information systems, such as Power Supervisory Control and Data Acquisition (PSCADA), Office Automation (OA), and asset management systems. These systems are fragmented, leading to a severe "information silo" problem. In actual operation, tasks such as power equipment maintenance planning, personnel scheduling, material inventory, safety tool inspection, and work order processing, personnel coordination, and material allocation after a fault still heavily depend on manual execution, paper document transmission, and offline coordination. This model not only results in the ineffective use of operation and maintenance data, leading to low efficiency in fault handling and daily operations, but more importantly, due to the lack of comprehensive analysis and intelligent mining capabilities for massive amounts of operation and maintenance data, the system cannot accurately predict potential equipment failures and safety risks. Utility Model Content

[0004] This invention provides an intelligent operation and maintenance system for urban rail power supply to overcome the shortcomings of low accuracy and efficiency in existing intelligent operation and maintenance technologies for urban rail power supply.

[0005] To solve the above-mentioned technical problems, the technical solution of this utility model is as follows: A smart operation and maintenance system for urban rail power supply is characterized by comprising several data sensing system substation layers, a smart operation and maintenance management layer for power supply, and a front-end display layer. The plurality of data sensing systems at the substation level are communicatively connected to the power supply intelligent operation and maintenance management level, and are used to collect heterogeneous data including IoT device data, mobile terminal data and power monitoring system data, and transmit the heterogeneous data to the power supply intelligent operation and maintenance management level. The intelligent power supply operation and maintenance management layer is communicatively connected to the front-end display layer and is used to perform unified correlation processing on the received heterogeneous data to generate operation and maintenance data containing the linkage relationship between operations, personnel and materials. The front-end presentation layer is used to display the operation and maintenance data and receive interactive operation instructions for job management, personnel management and material management.

[0006] As a preferred technical solution, the data sensing system at the substation level includes a power monitoring system, a network communication device, a mobile terminal, and an Internet of Things (IoT) device; The network communication device is connected to the IoT device, the mobile terminal and the power monitoring system respectively, and is configured to connect to the power supply intelligent operation and maintenance management layer through an optical fiber ring network.

[0007] As a preferred technical solution, the IoT device includes at least one or more of the following: Network cameras are used to collect real-time video stream data of the substation monitoring area; RFID readers are used to store material identification information and conduct contactless data interaction via radio frequency signals. NFC tags are used to store material identification information for near-field reading or optical scanning; Bluetooth beacons are used to broadcast position calibration signals to assist in positioning. A wireless controller is used to centrally manage the network configuration of wireless access points. A wireless access point is used to provide wireless signal coverage to establish a transmission channel between the mobile terminal and the wired network.

[0008] As a preferred technical solution, the intelligent power supply operation and maintenance management layer includes a unified data unit and a microservice unit; The unified data unit is used to receive heterogeneous data output from the substation layer of the data sensing system, as well as data from external third-party business systems, and to perform standardization processing on the heterogeneous data and the data from external third-party business systems to obtain standardized data. The microservice unit is used to receive the standardized data and perform unified association processing on the standardized data to generate the operation and maintenance data.

[0009] As a preferred technical solution, the unified data unit includes a data access gateway module, a real-time computing engine module, and a data warehouse module; The data warehouse module is used to store the heterogeneous data and the data from the external third-party business system. The data access gateway module is used to establish a data transmission channel to perform dynamic parsing for different communication protocols, and to configure ETL tools to extract data from the external third-party business system. The real-time computing engine module is used to perform cleaning, transformation and standardization calculations on the accessed heterogeneous data and the data from the external third-party business system, and write the processing results into the data warehouse module and the microservice unit.

[0010] As a preferred technical solution, the data warehouse module includes a time-series database unit, which is used to perform high-frequency writing and index building operations on monitoring signal data containing timestamps in the heterogeneous data.

[0011] As a preferred technical solution, the data warehouse module further includes a relational database unit, which is used to perform structured table creation and associated storage operations for equipment ledger data, work order records and personnel scheduling information.

[0012] As a preferred technical solution, the microservice unit includes at least one or more of the following: The large-screen visualization microservice module is used to retrieve stored data from the data warehouse module and perform graphical generation operations for 2D GIS map rendering and real-time monitoring data. The job management microservice module is used to retrieve stored data from the data warehouse module and perform CRUD operations on the work order record database. The personnel management microservice module is used to perform coordinate analysis and calculation on the location data from the Bluetooth beacon, and to perform attendance and trajectory correlation analysis on the access data from the network camera; The materials management microservice module is used to perform inventory quantity calculations on the materials change data from the RFID reader and the mobile terminal; The rules engine microservice module is used to call preset logical rules to perform periodic operations on the stored data in the data warehouse module to generate maintenance plan data and trigger message push instructions; The image recognition microservice module is used to perform image feature extraction on the video stream data from the network camera and to perform key point detection on the work screen; The system management microservice module is used to create user access control lists and perform log writing operations on system operation commands; The browser application microservice module is used to parse HTTP requests from the front-end presentation layer and return encapsulated front-end page data; The APP application microservice module is used to parse API requests from mobile terminals and return business data in JSON format.

[0013] As a preferred technical solution, the front-end presentation layer includes a PC client, which is configured to run in the browser environment of a computer device. It is used to establish a communication session with the power supply intelligent operation and maintenance management layer via the HTTP protocol and to encapsulate the user's scheduling and management instructions and send them to the power supply intelligent operation and maintenance management layer.

[0014] As a preferred technical solution, the front-end display layer also includes an APP, which is configured to run on the mobile terminal and is used to establish a data transmission channel with the power supply intelligent operation and maintenance management layer through a wireless network to synchronize the execution status data of work order tasks in real time.

[0015] Compared with existing technologies, the beneficial effects of this utility model include: This utility model collects multi-source heterogeneous data, including IoT devices, mobile terminals, and power monitoring systems, at the substation level through a data sensing system, and transmits it to the power supply intelligent operation and maintenance management layer for unified correlation processing. This generates operation and maintenance data containing the linkage relationships between operations, personnel, and materials, effectively breaking down information silos caused by the independence of subsystems in traditional operation and maintenance models. By deeply integrating and logically associating the data of the three core elements of "operations, personnel, and materials," it achieves interconnection and collaborative management of operation and maintenance data. This avoids the tedious repetition and data errors that may result from manual transcription of information between different systems, and enables unified visual control of operations, personnel, and materials through the front-end display layer. This significantly improves the information flow efficiency and business processing accuracy of urban rail power supply intelligent operation and maintenance. Attached Figure Description

[0016] Figure 1 This is a structural diagram of the intelligent operation and maintenance system for urban rail power supply provided in an embodiment of this utility model.

[0017] Figure 2 This is a schematic diagram of the operation and maintenance management platform provided in an embodiment of the present utility model.

[0018] Figure 3 This is a schematic diagram of the functional modules of the front-end presentation layer provided in an embodiment of the present utility model. Detailed Implementation

[0019] Exemplary embodiments will now be described in detail, examples of which are illustrated in the accompanying drawings. When the following description relates to the drawings, unless otherwise indicated, the same numbers in different drawings denote the same or similar elements. The modes described in the following exemplary embodiments do not represent all modes consistent with this invention. Rather, they are merely examples of apparatuses and methods consistent with some aspects of this invention as detailed in the appended claims.

[0020] The terminology used in this invention is for the purpose of describing particular embodiments only and is not intended to be limiting of the invention. The singular forms “a,” “the,” and “the” used in this invention and the appended claims are also intended to include the plural forms unless the context clearly indicates otherwise. It should also be understood that the term “and / or” as used herein refers to and includes any or all possible combinations of one or more of the associated listed items.

[0021] It should be understood that the terms "first," "second," and similar terms used in this specification and claims do not indicate any order, quantity, or importance, but are merely used to distinguish different components. Similarly, the terms "a" or "one," etc., do not indicate a quantity limitation, but rather indicate the presence of at least one. Unless otherwise stated, the terms "front," "rear," "lower," and / or "upper," etc., are for ease of description only and are not limited to a location or spatial orientation. The terms "comprising" or "including," etc., mean that the elements or objects preceding "comprising" or "including" encompass the elements or objects listed following "comprising" or "including" and their equivalents, and do not exclude other elements or objects. The terms "connected," "linked," etc., are not limited to physical or mechanical connections, but can include electrical connections, whether direct or indirect.

[0022] Unless otherwise defined, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this disclosure belongs. The terminology used herein is for the purpose of describing particular embodiments only and is not intended to be limiting of this disclosure.

[0023] The embodiments of this utility model will now be described in detail with reference to the accompanying drawings. Unless otherwise specified, the features in the following embodiments can be combined with each other.

[0024] The technical solution of this utility model will be further described below with reference to the accompanying drawings and embodiments.

[0025] Example 1 See Figure 1 This utility model embodiment proposes an intelligent operation and maintenance system for urban rail power supply, including several data sensing system substation layers, intelligent operation and maintenance management layers, and front-end display layers. The plurality of data sensing systems at the substation level are communicatively connected to the power supply intelligent operation and maintenance management level, and are used to collect heterogeneous data including IoT device data, mobile terminal data and power monitoring system data, and transmit the heterogeneous data to the power supply intelligent operation and maintenance management level. The intelligent power supply operation and maintenance management layer is communicatively connected to the front-end display layer and is used to perform unified correlation processing on the received heterogeneous data to generate operation and maintenance data containing the linkage relationship between operations, personnel and materials. The front-end presentation layer is used to display the operation and maintenance data and receive interactive operation instructions for job management, personnel management and material management.

[0026] As an example, in the specific implementation process, the data sensing system at the substation level utilizes IoT devices such as network cameras, RFID readers, NFC tags, Bluetooth beacons, and wireless access points deployed at the substation site, along with mobile terminals and network switches, to comprehensively collect on-site video streams, material identification, personnel locations, and electrical quantities and switch status data from the power monitoring system. The intelligent operation and maintenance management layer uses the data access gateway of the unified data platform to dynamically parse the various communication protocols involved in the above data, such as MQTT, HTTP, or Modbus. It then completes the data cleaning, transformation, standardization, and storage through a real-time computing engine and data warehouse. Subsequently, it calls the operation management, personnel management, and material management microservices, and automatically generates linked operation and maintenance data integrating fault handling, personnel scheduling, and material allocation information based on the intelligent mapping rule base. The front-end display layer presents the operation and maintenance data intuitively in the form of two-dimensional GIS maps, data dashboards, and real-time monitoring screens through a PC browser or APP interface, and responds to interactive operation commands issued by operation and maintenance personnel, such as work order flow, material inventory, or safety confirmation, to achieve digital control over the entire process of urban rail power supply operation and maintenance.

[0027] Understandably, by setting up a data sensing system at the substation level to collect multi-source heterogeneous data from IoT devices, mobile terminals, and power monitoring systems, and transmitting it to the intelligent operation and maintenance management layer for unified correlation processing, and generating operation and maintenance data containing the linkage relationships between operations, personnel, and materials, it is possible to effectively break down the information silos caused by the independence of each subsystem in the traditional operation and maintenance model. By deeply integrating and logically associating the data of the three core elements of "operations, personnel, and materials," the interconnection and collaborative management of operation and maintenance data are realized. This avoids the tedious repetition and data errors that may be caused by manually transcribing information between different systems. It also enables unified visual control of operations, personnel, and materials through the front-end display layer, thereby significantly improving the information flow efficiency and business processing accuracy of intelligent operation and maintenance of urban rail power supply.

[0028] Example 2 This embodiment is an improvement upon the intelligent operation and maintenance system for urban rail power supply proposed in Embodiment 1.

[0029] In this embodiment, the substation layer of the data sensing system includes a power monitoring system, a network communication device, a mobile terminal, and an Internet of Things (IoT) device. The network communication device is connected to the IoT device, the mobile terminal, and the power monitoring system, and is configured to connect to the power supply intelligent operation and maintenance management layer via a fiber optic ring network.

[0030] The IoT devices include network cameras for collecting real-time video stream data of the substation monitoring area, RFID readers for storing material identification information and performing contactless data interaction via radio frequency signals, NFC tags for storing material identification information for near-field reading or optical scanning, Bluetooth beacons for broadcasting position calibration signals to assist in positioning, wireless controllers for centrally managing the network configuration of wireless access points, and wireless access points for providing wireless signal coverage to establish a transmission channel between the mobile terminal and the wired network.

[0031] As an example, in specific implementation, the network camera performs real-time video monitoring of key areas, and uses facial recognition to automatically check in and out of substation rooms, duty rooms, and material warehouses. It also performs image recognition analysis on key operational behaviors such as whether operating personnel are wearing safety tools, whether safety measures are in place for power outage equipment, and whether workers have received safety training. The RFID reader, in conjunction with RFID tags attached to spare parts in the power supply system, uniquely identifies spare parts based on material code, name, model, manufacturer, production date, and main technical parameters, enabling rapid identification and inventory counting of spare parts. NFC tags or QR codes are placed on power supply equipment, fire-fighting equipment, safety tools, instruments, and other materials, and are used to identify materials based on material code, name, model, manufacturer, production date, and main technical parameters. Production date and key technical parameters are uniquely identified, enabling rapid identification of materials on-site using mobile terminals to support automatic information reading and data entry for different business operations. Bluetooth beacons are deployed in key functional areas such as substation control room duty stations, pre-shift training points, and cable interlayer inspection points to achieve precise personnel positioning within the substation. Wireless ACs and APs establish a substation local area network environment, providing network support for mobile terminal-based maintenance operations while ensuring information security. The wireless controller centrally manages the network configuration of wireless access points. Network communication devices such as network-free switches connect to IoT devices like network cameras and wireless ACs, as well as the power monitoring system, transmitting data through an existing fiber optic ring network constructed by communication professionals to the power supply intelligent maintenance management platform.

[0032] Understandably, through the collaborative work of various IoT devices and network communication devices, a comprehensive sensing network covering visual monitoring, radio frequency identification, near-field communication, and indoor positioning has been built. This enables the automated and seamless collection and uploading of substation on-site operation data, personnel behavior data, and material flow data. It effectively solves the problems of information lag and errors caused by traditional operation and maintenance relying on manual recording, and provides a real-time, accurate, and comprehensive underlying data foundation for the upper-level platform to achieve precise linkage and intelligent management of "operations-personnel-materials".

[0033] In this embodiment, as Figure 2 As shown, the intelligent power supply operation and maintenance management layer includes a unified data unit and a microservice unit. The unified data unit is used to receive heterogeneous data output from the substation layer of the data sensing system, as well as data from external third-party business systems, and to perform standardization processing on the heterogeneous data and the data from external third-party business systems to obtain standardized data. The microservice unit is used to receive the standardized data and to perform unified association processing on the standardized data to generate the operation and maintenance data.

[0034] The unified data unit includes a data access gateway module, a real-time computing engine module, and a data warehouse module. The data warehouse module is used to store the heterogeneous data and the data from the external third-party business systems. The data access gateway module is used to establish data transmission channels to perform dynamic parsing for different communication protocols and configure ETL tools to extract data from the external third-party business systems. The real-time computing engine module is used to perform cleaning, transformation, and standardization calculations on the accessed heterogeneous data and the data from the external third-party business systems, and write the processing results into the data warehouse module and the microservice unit.

[0035] The data warehouse module includes a time-series database unit, which performs high-frequency writing and index building operations on monitoring signal data containing timestamps within the heterogeneous data. The data warehouse module also includes a relational database unit, which performs structured table creation and relational storage operations on equipment ledger data, work order records, and personnel scheduling information.

[0036] As an example, in the specific implementation process, the unified data unit (i.e., the unified data platform) serves as the data hub of the entire system. It utilizes the data access gateway module to access real-time data from the power monitoring system, network cameras, wireless AC, RFID / NFC tags, and mobile terminals at the substation level of the data sensing system. It defines a unified data format specification and dynamically parses various communication protocols such as MQTT, HTTP, and Modbus. For external third-party business systems (such as planning approval systems, work order systems, and asset management systems), it uses ETL tools to perform periodic incremental synchronization of their databases, extracting the required data to the platform. The real-time computing engine module cleans, transforms, and standardizes the received device alarm signals and status data. It also constructs an intelligent mapping rule base for alarm points of different types and levels of power supply equipment, automatically ignoring unimportant alarm signals and pushing signals requiring manual confirmation to the microservice unit (such as the job management microservice). The processed data is written to the data warehouse module, where the time-series database unit stores high-frequency monitoring signals containing timestamps, and the relational database unit stores the entire lifecycle archives of the equipment, job records, personnel behavior data, and material flow data, thereby providing consistent and standardized data services to the upper-level microservice units.

[0037] Understandably, by constructing a unified data unit integrating data access, real-time computing, and hybrid storage, deep integration and standardized processing of underlying heterogeneous IoT device data and external third-party business data have been achieved, effectively breaking down the "information silo" barrier caused by the independent construction of each subsystem in the traditional operation and maintenance model. Through the parsing of multiple communication protocols and the application of ETL tools, the challenge of accessing multi-source heterogeneous data has been solved; by utilizing a real-time computing engine in conjunction with an intelligent mapping rule base, automated noise reduction and alarm classification processing of data have been achieved, significantly improving the accuracy and timeliness of data processing; and the hybrid architecture design of time-series databases and relational databases not only meets the high-frequency writing requirements of massive real-time monitoring data but also ensures the efficiency of relational queries of complex business logic data, providing a solid and reliable data foundation for realizing intelligent linkage between "operations-personnel-materials".

[0038] In this embodiment, the microservice unit includes: The large-screen visualization microservice module is used to retrieve stored data from the data warehouse module and perform graphical generation operations for 2D GIS map rendering and real-time monitoring data. The job management microservice module is used to retrieve stored data from the data warehouse module and perform CRUD operations on the work order record database. The personnel management microservice module is used to perform coordinate analysis and calculation on the location data from the Bluetooth beacon, and to perform attendance and trajectory correlation analysis on the access data from the network camera; The materials management microservice module is used to perform inventory quantity calculations on the materials change data from the RFID reader and the mobile terminal; The rules engine microservice module is used to call preset logical rules to perform periodic operations on the stored data in the data warehouse module to generate maintenance plan data and trigger message push instructions; The image recognition microservice module is used to perform image feature extraction on the video stream data from the network camera and to perform key point detection on the work screen; The system management microservice module is used to create user access control lists and perform log writing operations on system operation commands; The browser application microservice module is used to parse HTTP requests from the front-end presentation layer and return encapsulated front-end page data; The APP application microservice module is used to parse API requests from mobile terminals and return business data in JSON format.

[0039] As an example, in the specific implementation process, the large-screen visualization microservice module supports the visualization and rendering of two-dimensional GIS maps, key data indicators, various charts, and real-time monitoring screens. The two-dimensional GIS map is used to display the geographical location information of lines, substations, and material warehouses. The operation management microservice module supports the addition, deletion, modification, and querying of business data such as alarm records, fault records, maintenance plans, inspection plans and temporary plans, Class I work tickets, Class II work tickets, Class III work tickets, and work orders. It also manages the state transitions between different business processes and constructs a power supply system knowledge graph to store the relationship between equipment fault locations and solutions. The personnel management microservice module supports personnel information management, precise personnel location analysis based on Bluetooth beacons, automatic personnel attendance recording management, personnel scheduling management, personnel entry and exit management, and shift handover management. The material management microservice module supports the management of power supply equipment, spare parts, fire-fighting equipment, safety tools, and instruments. The system includes ledger information management, inventory count information management, and inventory early warning analysis; the rule engine microservice module provides a graphical editing interface to support custom rule logic, and automatically generates periodic maintenance plans, inspection plans, shift schedules, and work reports based on preset rules, while proactively pushing reminder information to relevant responsible persons according to preset cycles; the image recognition microservice module analyzes video stream data, and uses facial recognition technology to automatically identify personnel entering and exiting substation rooms, duty rooms, and material warehouses, and analyzes key operational behaviors of operators through image recognition technology, specifically including whether operators are wearing safety tools, whether safety measures are in place for power outage equipment, and whether operators have received safety training; the system management microservice module supports user management, permission management, and log recording functions; the browser application microservice module and the APP application microservice module respectively enable page display, interactive operation, and interface access of platform function modules in browsers and mobile terminals.

[0040] Understandably, the adoption of a microservice architecture design divides the business of the urban rail power supply intelligent operation and maintenance management system into a series of independent microservices based on functional modules, achieving high cohesion, low coupling, and easy scalability. The rule engine microservice automates plan preparation and task assignment, replacing tedious manual scheduling; the image recognition microservice enables intelligent operation safety control, avoiding oversights by human oversight; and through deep collaboration among operation, personnel, and material management modules, a standardized and mandatory end-to-end operation tracking and control mechanism based on a workflow engine is constructed. This effectively liberates maintenance personnel from low-value-added repetitive labor, significantly improving the overall efficiency and safety level of power supply operation and maintenance.

[0041] In this embodiment, as Figure 3As shown, the front-end presentation layer includes a PC client, which is configured to run in the browser environment of a computer device. It is used to establish a communication session with the intelligent power supply operation and maintenance management layer via the HTTP protocol and to encapsulate the user's scheduling and management instructions and send them to the intelligent power supply operation and maintenance management layer.

[0042] The front-end presentation layer also includes an APP client, which is configured to run on the mobile terminal and is used to establish a data transmission channel with the power supply intelligent operation and maintenance management layer via a wireless network to synchronize the execution status data of work order tasks in real time.

[0043] As an example, in the specific implementation process, the PC terminal includes functional modules for command center, operation management, personnel management, material management, report management, and system management. The command center uses a 2D GIS map to dynamically display the locations of power lines, substations, material warehouses, and personnel based on Bluetooth beacons. It uses a data dashboard to display alarm counts, plan completion rates, and personnel timeliness in real time using pie charts, bar charts, and line charts, and also displays real-time monitoring footage in rotation. Operation management realizes the entire process flow from alarm confirmation, fault analysis, plan formulation, work order application to work order execution, supports interaction with external approval systems through interfaces, and automatically performs rule verification and overdue reminders. Personnel management uses facial recognition data to generate attendance and entry / exit records and provides a graphical scheduling engine. Material management is synchronized with the asset management system to realize the management of the entire lifecycle of power supply equipment and the early warning and inspection cycle of various material inventories. Report management supports custom templates to generate statistical reports.

[0044] The app includes modules for My Work Orders, Team Management, Materials Management, and Personal Center. My Work Orders displays pending tasks, provides standardized work procedure guidance, supports information confirmation by scanning equipment tags or QR codes using mobile devices, supports text input, voice transcription, and uploading of images and videos to record processing results, and supports electronic signature acceptance. Team Management displays individual attendance, shift schedules, and entry / exit records, and supports initiating and countersigning electronic shift handovers. Materials Management pushes inspection and delivery reminders, and supports scanning codes to complete fire equipment inspections. The app automatically synchronizes data with the platform in a local area network environment to ensure real-time updates of work order status.

[0045] Understandably, by constructing a front-end display system that integrates PC and APP platforms, seamless coverage of operation and maintenance management has been achieved from the "decision center" to the "operation site." The PC platform, through visualized data dashboards and GIS maps, provides command personnel with a comprehensive overview of the overall operation and maintenance situation, enabling refined control and decision support for the entire operation process. The APP platform, as a digital extension of on-site operations, leverages the portability and multimedia collection capabilities of mobile terminals to push standardized operation manuals to the front line. Through technologies such as QR code verification, real-time uploading, and electronic signatures, it enforces standardized on-site operation behaviors, ensuring the authenticity, real-time nature, and closed-loop management of operation and maintenance data, thereby significantly improving the scheduling efficiency and operation quality of urban rail power supply operation and maintenance.

[0046] Example 3 Based on the intelligent operation and maintenance system for urban rail power supply proposed in Example 2, this embodiment describes the standardized tracking and control process for the entire operation and maintenance process.

[0047] In this embodiment, the intelligent power supply operation and maintenance management layer is configured to run a mandatory control logic based on a workflow engine, which solidifies the power supply operation and maintenance management system into a digital process; the intelligent power supply operation and maintenance management layer works in collaboration with the substation layer of the data sensing system to set technical control points at key nodes of the operation process.

[0048] As an example, in the specific implementation process, after receiving an alarm and generating a fault record from the power monitoring system, the power supply intelligent operation and maintenance management layer automatically triggers a closed-loop flow process from fault management to plan management, work order management, and then to work order management, and the process nodes are set so that no steps can be skipped; in the work order execution stage, the following technical control points are set: after the operator arrives at the site, he must use the mobile terminal to scan the NFC tag or QR code on the power supply equipment and spare parts. The system verifies that the scanned data is consistent with the equipment and material information associated with the work order before unlocking the subsequent operation steps; when grounding or power outage operations are performed, the network camera is used to capture the scene, and the compliance of key safety measures is analyzed by the image recognition microservice. If non-compliance is identified, the system automatically blocks the work order flow and records the violation information; the system automatically performs rule verification on the entered or filled content and sets automatic time limits for each step. For steps that are about to exceed the time limit, the rule engine automatically triggers reminders to the relevant responsible persons.

[0049] Understandably, by constructing a standardized management and control mechanism based on a workflow engine and combining IoT barcode scanning and machine vision recognition technologies to set up hard technical control points, digital mandatory constraints are achieved on the entire operation and maintenance process. This design changes the traditional management model of operation and maintenance that relies excessively on the subjective initiative of personnel. It enforces and standardizes operational behavior through technical means, ensures the integrity and authenticity of work records, effectively reduces safety risks caused by human factors, and provides reliable data evidence for accident accountability and continuous operation improvement.

[0050] In the description of this specification, the references to terms such as "one embodiment," "some embodiments," "example," "specific example," or "some examples," etc., indicate that a specific feature, structure, material, or characteristic described in connection with that embodiment or example is included in at least one embodiment or example of this application. In this specification, the illustrative expressions of the above terms do not necessarily refer to the same embodiment or example. Furthermore, the specific features, structures, materials, or characteristics described may be combined in any suitable manner in one or more embodiments or examples. Moreover, without contradiction, those skilled in the art can combine and integrate the different embodiments or examples described in this specification, as well as the features of different embodiments or examples.

[0051] Furthermore, the terms "first" and "second" are used for descriptive purposes only and should not be construed as indicating or implying relative importance or implicitly specifying the number of technical features indicated. Thus, a feature defined as "first" or "second" may explicitly or implicitly include at least one of that feature. In the description of this application, "N" means at least two, such as two, three, etc., unless otherwise explicitly specified.

[0052] Any process or method described in the flowchart or otherwise herein can be understood as representing a module, segment, or portion of code comprising one or more N executable instructions for implementing custom logic functions or processes, and the scope of the preferred embodiments of this application includes additional implementations in which functions may be performed not in the order shown or discussed, including substantially simultaneously or in reverse order depending on the functions involved, as should be understood by those skilled in the art to which embodiments of this application pertain.

[0053] It should be understood that the various parts of this application can be implemented using hardware, software, firmware, or a combination thereof. In the above embodiments, the N steps or methods can be implemented using software or firmware stored in memory and executed by a suitable instruction execution system. For example, if implemented in hardware, as in another embodiment, it can be implemented using any one or a combination of the following techniques known in the art: discrete logic circuits having logic gates for implementing logical functions on data signals, application-specific integrated circuits (ASICs) having suitable combinational logic gates, programmable gate arrays (FPGAs), field-programmable gate arrays (FPGAs), etc.

[0054] Those skilled in the art will understand that all or part of the steps of the methods described in the above embodiments can be implemented by a program instructing related hardware, and the program can be stored in a computer-readable storage medium. When executed, the program includes one or a combination of the steps of the method embodiments.

[0055] Obviously, the above embodiments of this utility model are merely examples for clearly illustrating this utility model, and are not intended to limit the implementation of this utility model. Those skilled in the art can make other variations or modifications based on the above description. It is neither necessary nor possible to exhaustively describe all embodiments here. Any modifications, equivalent substitutions, and improvements made within the spirit and principles of this utility model should be included within the protection scope of the claims of this utility model.

Claims

1. An intelligent operation and maintenance system for urban rail power supply, characterized in that, It includes several data sensing systems: substation layer, power supply intelligent operation and maintenance management layer, and front-end display layer; The plurality of data sensing systems at the substation level are communicatively connected to the power supply intelligent operation and maintenance management level, and are used to collect heterogeneous data including IoT device data, mobile terminal data and power monitoring system data, and transmit the heterogeneous data to the power supply intelligent operation and maintenance management level. The intelligent power supply operation and maintenance management layer is communicatively connected to the front-end display layer and is used to perform unified correlation processing on the received heterogeneous data to generate operation and maintenance data containing the linkage relationship between operations, personnel and materials. The front-end presentation layer is used to display the operation and maintenance data and receive interactive operation instructions for job management, personnel management and material management.

2. The intelligent operation and maintenance system for urban rail power supply according to claim 1, characterized in that, The data sensing system at the substation level includes a power monitoring system, network communication devices, mobile terminals, and Internet of Things (IoT) devices. The network communication device is connected to the IoT device, the mobile terminal and the power monitoring system respectively, and is configured to connect to the power supply intelligent operation and maintenance management layer through an optical fiber ring network.

3. The intelligent operation and maintenance system for urban rail power supply according to claim 2, characterized in that, The IoT device includes at least one or more of the following: Network cameras are used to collect real-time video stream data of the substation monitoring area; RFID readers are used to store material identification information and conduct contactless data interaction via radio frequency signals. NFC tags are used to store material identification information for near-field reading or optical scanning; Bluetooth beacons are used to broadcast position calibration signals to assist in positioning. A wireless controller is used to centrally manage the network configuration of wireless access points. A wireless access point is used to provide wireless signal coverage to establish a transmission channel between the mobile terminal and the wired network.

4. The intelligent operation and maintenance system for urban rail power supply according to claim 3, characterized in that, The intelligent power supply operation and maintenance management layer includes a unified data unit and a microservice unit; The unified data unit is used to receive heterogeneous data output from the substation layer of the data sensing system, as well as data from external third-party business systems, and to perform standardization processing on the heterogeneous data and the data from external third-party business systems to obtain standardized data. The microservice unit is used to receive the standardized data and perform unified association processing on the standardized data to generate the operation and maintenance data.

5. The intelligent operation and maintenance system for urban rail power supply according to claim 4, characterized in that, The unified data unit includes a data access gateway module, a real-time computing engine module, and a data warehouse module; The data warehouse module is used to store the heterogeneous data and the data from the external third-party business system. The data access gateway module is used to establish a data transmission channel to perform dynamic parsing for different communication protocols, and to configure ETL tools to extract data from the external third-party business system. The real-time computing engine module is used to perform cleaning, transformation and standardization calculations on the accessed heterogeneous data and the data from the external third-party business system, and write the processing results into the data warehouse module and the microservice unit.

6. The intelligent operation and maintenance system for urban rail power supply according to claim 5, characterized in that, The data warehouse module includes a time-series database unit, which is used to perform high-frequency writing and index building operations on monitoring signal data containing timestamps in the heterogeneous data.

7. The intelligent operation and maintenance system for urban rail power supply according to claim 6, characterized in that, The data warehouse module also includes a relational database unit, which is used to perform structured table creation and associated storage operations for equipment ledger data, work order records and personnel scheduling information.

8. The intelligent operation and maintenance system for urban rail power supply according to claim 5, characterized in that, The microservice unit includes at least one or more of the following: The large-screen visualization microservice module is used to retrieve stored data from the data warehouse module and perform graphical generation operations for 2D GIS map rendering and real-time monitoring data. The job management microservice module is used to retrieve stored data from the data warehouse module and perform CRUD operations on the work order record database. The personnel management microservice module is used to perform coordinate analysis and calculation on the location data from the Bluetooth beacon, and to perform attendance and trajectory correlation analysis on the access data from the network camera; The materials management microservice module is used to perform inventory quantity calculations on the materials change data from the RFID reader and the mobile terminal; The rules engine microservice module is used to call preset logical rules to perform periodic operations on the stored data in the data warehouse module to generate maintenance plan data and trigger message push instructions; The image recognition microservice module is used to perform image feature extraction on the video stream data from the network camera and to perform key point detection on the work screen; The system management microservice module is used to create user access control lists and perform log writing operations on system operation commands; The browser application microservice module is used to parse HTTP requests from the front-end presentation layer and return encapsulated front-end page data; The APP application microservice module is used to parse API requests from mobile terminals and return business data in JSON format.

9. The intelligent operation and maintenance system for urban rail power supply according to claim 8, characterized in that, The front-end presentation layer includes a PC client, which is configured to run in a browser environment on a computer device. It is used to establish a communication session with the intelligent power supply operation and maintenance management layer via the HTTP protocol and to encapsulate the user's scheduling and management instructions and send them to the intelligent power supply operation and maintenance management layer.

10. The intelligent operation and maintenance system for urban rail power supply according to claim 8, characterized in that, The front-end presentation layer also includes an APP client, which is configured to run on the mobile terminal and is used to establish a data transmission channel with the power supply intelligent operation and maintenance management layer via a wireless network to synchronize the execution status data of work order tasks in real time.

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