Rail transit turnout representation voltage intelligent analysis method, device and equipment

Abstract

The invention relates to the field of rail transit signal monitoring, and provides a rail transit turnout representation voltage intelligent analysis method, device and equipment, and the method comprises the steps: obtaining representation voltage data of a specified turnout from a signal control cabinet server at a preset frequency; calling an analysis template matched with the turnout system according to the turnout system corresponding to the specified turnout; and analyzing the representation voltage data in real time based on an abnormality judgment rule contained in the analysis template, generating and outputting early warning information when determining that the representation voltage data is abnormal according to an analysis result, and displaying at least one of the representation voltage data, the analysis result and the early warning information. The problems that in the prior art, turnout representation voltage monitoring depends on manpower, efficiency is low, and multi-system unified accurate analysis and real-time dynamic early warning cannot be achieved are solved, and automatic collection, standardized analysis and instant abnormality judgment and display of turnout representation voltage data are achieved.

Description

Technical Field

[0001] This invention relates to the field of rail transit signal monitoring, and in particular to a method, apparatus and equipment for intelligent analysis of turnout indication voltage in rail transit. Background Technology

[0002] As a critical switching device in the rail transit signaling system, the accurate status of turnouts is fundamental to train route safety. Turnout indication voltage is a core electrical parameter directly reflecting the switching and locking status of the turnout; its stability and dynamic characteristics are directly related to the health of the turnout equipment and operational safety. Therefore, continuous and accurate monitoring and analysis of turnout indication voltage is a crucial technical aspect for ensuring the safe operation of rail transit and achieving preventative maintenance.

[0003] Currently, the industry primarily relies on traditional manual measurement methods to monitor turnout voltage. This method typically requires maintenance personnel to carry tools such as multimeters to the equipment site, measure specific terminals of individual turnouts point by point, and manually record the instantaneous voltage values. With the continuous expansion of the rail transit network and the sustained increase in operational density, the number of turnout equipment has surged, and the operation and maintenance scenarios have become increasingly complex. Against this backdrop, traditional manual monitoring methods are no longer sufficient to meet the demands of high-frequency, multi-dimensional, and multi-system modern operation and maintenance. How to achieve intelligent, automated, and high-precision analysis of turnout voltage has become a bottleneck restricting operational safety and efficiency improvement, and is a crucial technical issue that the industry urgently needs to address. Summary of the Invention

[0004] This invention provides a method, device, and equipment for intelligent analysis of turnout indication voltage in rail transit, which solves the problems of existing technologies where turnout indication voltage monitoring relies on manual labor, is inefficient, and cannot achieve unified and accurate analysis and real-time dynamic early warning across multiple systems. It realizes automated collection, standardized analysis, immediate judgment of anomalies, and dynamic visualization of turnout indication voltage data.

[0005] This invention provides a method for intelligent analysis of voltage indication on railway turnouts, comprising the following steps: The indicated voltage data of a specified turnout is obtained from the signal control cabinet server at a preset frequency. The indicated voltage data includes voltage values ​​between at least two different terminals. Based on the turnout type corresponding to the specified turnout, a parsing template matching the turnout type is invoked. The parsing template includes the standard range of voltage for each terminal and the rules for determining abnormalities. Based on the aforementioned anomaly detection rules, the voltage data is analyzed in real time to obtain the analysis results; When the voltage data is determined to be abnormal based on the analysis result, an early warning message is generated and output, and at least one of the voltage data, the analysis result, and the early warning message is displayed.

[0006] According to the present invention, a method for intelligent analysis of the voltage indication of a railway turnout is provided, wherein the preset frequency is once per second, and the voltage indication data includes AC voltage value and DC voltage value.

[0007] According to the present invention, a method for intelligent analysis of track turnout indication voltage is provided. The method for dynamically acquiring indication voltage data of a specified turnout from a signal control cabinet server at a preset frequency includes: receiving the turnout number and monitoring period input by the user; periodically acquiring raw indication voltage data from the signal control cabinet server based on the turnout number and monitoring period; and performing format conversion processing on the raw indication voltage data to generate structured indication voltage data, wherein the structured indication voltage data includes a timestamp, a turnout number, and voltage values ​​between multiple sets of terminals.

[0008] According to the present invention, a method for intelligent analysis of voltage indication of railway turnouts is provided. The method for displaying at least one of the voltage indication data, analysis results, and early warning information includes: dynamically refreshing the displayed data in a table format, wherein the table at least includes the turnout number, time, turnout type, turnout location, and voltage values ​​of each terminal group, and marking voltage values ​​identified as abnormal with a first visual feature; displaying the AC voltage value change curve of a preset terminal combination over time in a dynamic trend graph format, wherein the dynamic trend graph marks the upper and lower limits of the standard range of the voltage of the corresponding terminal combination, and highlighting curve segments exceeding the standard range with a second visual feature; the display of the dynamic trend graph distinguishes between the turnout's positioning state and its reversed state, and plots the AC voltage change curve of a specific terminal combination under the corresponding state.

[0009] According to the present invention, a method for intelligent analysis of track turnout indication voltage is provided. The anomaly determination rule includes a rule for determination based on derived parameters of the indication voltage data changing over time. The step of real-time analysis of the indication voltage data based on the anomaly determination rule to obtain the analysis result includes: calculating the rate of change or fluctuation amplitude of the indication voltage data within a preset time window as a derived parameter; comparing the derived parameter with a first threshold set in the analysis template, or combining the derived parameter with the current value of the indication voltage data and comparing it with a second threshold set in the analysis template; when the comparison result meets a preset condition, it is determined that the indication voltage data has a hidden anomaly.

[0010] According to the present invention, a method for intelligent analysis of turnout indication voltage in rail transit further includes: responding to a user's query request for a specific turnout and a specific time period, retrieving and displaying all the indication voltage data, the corresponding dynamic trend graph, and all generated early warning information and their processing records within the specific time period; and responding to a user's instruction, exporting all or part of the displayed data, including the indication voltage data, dynamic trend graph data, and early warning information, into an offline data file in a predefined format.

[0011] The present invention also provides an intelligent analysis device for the voltage indication of rail transit turnouts, comprising the following modules: The data acquisition module is used to acquire the indicated voltage data of a specified turnout from the signal control cabinet server at a preset frequency. The indicated voltage data includes voltage values ​​between at least two different terminals. The template calling module is used to call the parsing template that matches the turnout type according to the turnout type corresponding to the specified turnout. The parsing template includes the standard range of voltage for each terminal and the abnormal judgment rules. The intelligent analysis module is used to analyze the voltage data in real time based on the anomaly determination rules and obtain the analysis results; The early warning display module is used to generate and output early warning information when the voltage data is determined to be abnormal based on the analysis result, and to display at least one of the voltage data, the analysis result and the early warning information.

[0012] The present invention also provides an electronic device, including a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor executes the computer program to implement the intelligent analysis method for track turnout indication voltage as described above.

[0013] The present invention also provides a non-transitory computer-readable storage medium having a computer program stored thereon, which, when executed by a processor, implements the intelligent analysis method for track turnout indication voltage as described above.

[0014] The present invention also provides a computer program product, including a computer program that, when executed by a processor, implements the intelligent analysis method for representing voltage of rail transit turnouts as described above.

[0015] This invention provides a method, device, and equipment for intelligent analysis of track turnout voltage indication, which offers the following advantages: By automatically acquiring voltage data between multiple terminals from a signal control cabinet server at a preset frequency, high-frequency, automated acquisition of the turnout's electrical status is achieved. This solves the problems of time-consuming, labor-intensive, and isolated data in traditional manual measurements, significantly improving monitoring efficiency and data integrity. By calling the corresponding analysis template according to the turnout type and performing real-time analysis and anomaly judgment based on the preset standard range and judgment rules in the template, this invention unifies the voltage analysis standard for different turnout types, eliminating reading errors and inconsistencies in judgment caused by human factors, thereby greatly improving the accuracy and reliability of anomaly identification. When the analysis result is abnormal, this invention automatically generates and outputs early warning information and dynamically displays all relevant data and results in a visual form. This allows maintenance personnel to grasp the abnormal status and complete context information of the equipment in an immediate and intuitive manner, achieving a rapid closed loop from data acquisition to status awareness, effectively enhancing the timeliness of fault response and the level of intelligence in maintenance decision-making. Attached Figure Description

[0016] To more clearly illustrate the technical solutions in this invention or the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are some embodiments of this invention. For those skilled in the art, other drawings can be obtained from these drawings without creative effort.

[0017] Figure 1 This is a flowchart illustrating the intelligent analysis method for representing voltage of rail transit turnouts provided by the present invention.

[0018] Figure 2 This is a schematic diagram of the intelligent analysis device for indicating voltage of rail transit turnouts provided by the present invention.

[0019] Figure 3 This is a schematic diagram of the structure of the electronic device provided by the present invention. Detailed Implementation

[0020] To make the objectives, technical solutions, and advantages of this invention clearer, the technical solutions of this invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some, not all, of the embodiments of this invention. All other embodiments obtained by those skilled in the art based on the embodiments of this invention without creative effort are within the scope of protection of this invention.

[0021] The following is combined with Figures 1-3 The embodiments of the present invention are described in detail.

[0022] The intelligent analysis method for track turnout indication voltage provided in this embodiment of the invention is executed by a track turnout indication voltage intelligent analysis device, which can be configured in a computer. The computer can be a local computer or a cloud computer. The local computer can be a computer, tablet, etc., and no specific limitation is made here.

[0023] Figure 1 This is a flowchart illustrating the intelligent analysis method for track switch indication voltage provided by the present invention, as shown below. Figure 1 As shown, the method includes the following steps: S110. Obtain the indicated voltage data of the specified turnout from the signal control cabinet server at a preset frequency. The indicated voltage data includes voltage values ​​between at least two different terminals.

[0024] According to the present invention, a method for intelligent analysis of the voltage indication of a railway turnout is provided, wherein the preset frequency is once per second, and the voltage indication data includes AC voltage value and DC voltage value.

[0025] According to the present invention, a method for intelligent analysis of track turnout indication voltage is provided. The method for dynamically acquiring indication voltage data of a specified turnout from a signal control cabinet server at a preset frequency includes: receiving the turnout number and monitoring period input by the user; periodically acquiring raw indication voltage data from the signal control cabinet server based on the turnout number and monitoring period; and performing format conversion processing on the raw indication voltage data to generate structured indication voltage data, wherein the structured indication voltage data includes a timestamp, a turnout number, and voltage values ​​between multiple sets of terminals.

[0026] Specifically, the system is set to a preset frequency of once per second (1Hz) to capture instantaneous voltage fluctuations that may occur during turnout switching in real time. Maintenance personnel first select the target turnout number in the system interface, such as "1#", and set a specific monitoring period, such as "2025-10-16 17:39:00 to 2025-10-16 17:40:00". Upon receiving this instruction, the system, based on the turnout number and the time interval accurate to the second, periodically (once per second) sends a data request to the corresponding signal control cabinet server to obtain the original voltage data of the turnout during this time period.

[0027] These raw data may be compressed or encrypted, so the system backend needs to automatically perform preprocessing such as decompression and decryption. The system performs format conversion on the preprocessed raw data, parsing and recombining it into a structured, high-frequency data stream suitable for subsequent analysis. In the generated structured voltage data, each record precisely includes a timestamp at the millisecond or second level (e.g., 2025-10-16 17:39:56.123), the corresponding turnout number "1#", and voltage measurements between multiple sets of terminals. These voltage values ​​include not only AC voltages, such as 62.5V AC between X1-X2 terminals and 110V AC between X2-X4 terminals, but also DC voltages, such as 18.7V DC between X1-X2 terminals and 1.2V DC between X1-X4 terminals. In this way, this embodiment stably and automatically achieves high-frequency dynamic data acquisition of multi-dimensional AC and DC voltages once per second under the positioning and reversing states of a single set of turnouts, laying a solid data foundation for subsequent accurate analysis.

[0028] This embodiment achieves automated and periodic acquisition of structured data from the signal source by setting and executing a high-frequency data acquisition process once per second, combined with user-specified turnout numbers and precise time periods. This method completely replaces the traditional manual point-by-point measurement mode using a multimeter, reducing the time for a single measurement from tens of minutes to seconds, greatly improving the efficiency of voltage data acquisition. The background automatically completes data decompression, decryption, and format conversion, avoiding operational errors that may be introduced by manual intervention, ensuring the integrity and reliability of the data from raw materials to analysis. The resulting structured data precisely correlates time, turnout position, and multiple sets of AC and DC voltage values, forming a complete, coherent, and high-time-resolution voltage change sequence. This provides indispensable high-quality, high-timeliness data support for subsequent steps such as millisecond-level fault tracing, capturing details of dynamic voltage fluctuations, and conducting trend analysis, fundamentally changing the way turnout voltage monitoring data is acquired.

[0029] S120. Based on the turnout type corresponding to the specified turnout, call the parsing template that matches the turnout type. The parsing template includes the standard range of voltage for each terminal and anomaly judgment rules. The anomaly judgment rules include rules based on the derived parameters representing the trend of voltage data changes over time.

[0030] Specifically, after acquiring the structured voltage data, the system first identifies the turnout type corresponding to the specified turnout, for example, identifying turnout "1#" as type ZDJ9. The system then retrieves a parsing template from the template library that perfectly matches this type (ZDJ9). This parsing template is a predefined configuration file or data structure that precisely contains the standard AC and DC voltage ranges for each key terminal combination (e.g., X1-X2, X1-X4, X2-X4) under different states (positioned, reversed) of this type of turnout.

[0031] For example, regarding the positioning status of ZDJ9 type turnouts, the template defines the standard range of DC voltage between terminals X1 and X2 as DC 16V to 24V. The anomaly detection rules not only include simple threshold comparisons (such as "voltage value below the lower limit DC16V for 10 seconds is considered a low voltage anomaly"), but more importantly, they include advanced rules based on derived parameters representing the trend of voltage data over time. These rules analyze continuous time series data through mathematical calculations. For example, they calculate the trend slope of voltage data within a specific time window to determine whether there is a hidden trend of continuous slow decline or rise in voltage; by comparing the real-time voltage per second with a preset threshold, abnormal and severe fluctuations can be identified. The system utilizes these rules and calculation formulas embedded in the template, precisely matched to the equipment parameters, to perform automated and standardized in-depth analysis of voltage data once per second.

[0032] This embodiment achieves unified and intelligent voltage analysis standards for multi-type turnouts by intelligently calling the corresponding analysis template based on the specific turnout type and applying the advanced judgment rules pre-set in the template, which include trend-derived parameters. This fundamentally eliminates human error and subjective inconsistency caused by different maintenance personnel using different judgment standards for the same equipment type due to differences in experience or memory bias. By introducing quantitative analysis of derived parameters such as voltage trend slope and fluctuation amplitude, this embodiment surpasses the traditional static judgment method that relies solely on instantaneous threshold comparison. This allows the system to keenly capture hidden fault modes where the voltage value is within the normal range but the trend of change is abnormal (such as slow drift that may occur in the early stage of "false indication" or abnormal jitter during the transition process), significantly improving the depth and comprehensiveness of fault detection.

[0033] S130. Based on the anomaly determination rules, the voltage data is analyzed in real time to obtain the analysis results.

[0034] According to the present invention, a method for intelligent analysis of track turnout indication voltage is provided. The method involves real-time analysis of the indication voltage data based on the anomaly determination rule to obtain analysis results. This includes: calculating the rate of change or fluctuation amplitude of the indication voltage data within a preset time window as a derived parameter; comparing the derived parameter with a first threshold set in the analysis template, or combining the derived parameter with the current value of the indication voltage data and comparing it with a second threshold set in the analysis template; and determining that the indication voltage data has a hidden anomaly when the comparison result meets a preset condition.

[0035] Specifically, when applying the analytical template for real-time analysis, the system first compares the voltage data collected once per second according to the rules defined in the template. The analytical template presets a standard voltage range for each monitored terminal combination. For example, for the AC voltage between terminals X1 and X2 in the ZDJ9 turnout positioning state, the standard range is AC 55V to AC 65V. The system directly compares the real-time voltage value of that terminal acquired in the current second with this range. If the voltage value exceeds (above the upper limit or below the lower limit) the standard range, the system immediately determines that the voltage is abnormal and marks the abnormal value with a first visual feature in the data display table. This constitutes a real-time and direct judgment of voltage exceeding the limit.

[0036] Alternatively, the system executes a more complex dynamic judgment rule, which is also based on a direct comparison with a threshold. For example, a rule for latent faults such as "false positives" might be: The system first calculates a derived parameter, which is the absolute difference between the voltage value of the current second and the average voltage value over the previous N seconds (e.g., 5 seconds), i.e., |V_current - V_avg|. Then, the system compares this derived parameter with a dynamic change threshold (i.e., a second threshold) set in the parsing template. Simultaneously, the system checks whether the current voltage value is already in the lower half of its standard range (e.g., standard range AC 55-65V, current value 58V). These two conditions combine to satisfy a preset composite judgment condition only if the derived parameter exceeds the second threshold and the current voltage is in the lower half of the standard range. In this case, the system determines that a latent anomaly such as "abnormal voltage dynamic fluctuation" exists, even if the current voltage value itself does not exceed the upper or lower limits of the standard range. This judgment will also trigger an alert, and the corresponding curve segment will be highlighted in the trend graph.

[0037] This embodiment significantly improves the system's ability to detect complex fault modes by implementing intelligent analysis rules based on dynamic trend-derived parameters. Traditional static threshold methods can only identify obvious faults where voltage values ​​continuously exceed a fixed range. However, this method, by quantitatively analyzing voltage changes over a short period, can effectively capture latent faults where the absolute voltage value remains within the standard range, but the dynamic characteristics are abnormal. Examples include abnormal fluctuations during switching processes and slow voltage drift caused by poor contact in the relay (a precursor to "false indication"). This in-depth analysis of data time series upgrades fault diagnosis from "looking at numerical points" to "looking at change curves," greatly enhancing the early warning capability for early and intermittent faults. This improves the predictability and safety of maintenance, and reduces the driving risks and equipment damage that may result from the failure to detect latent faults in a timely manner.

[0038] S140. When the voltage data is determined to be abnormal based on the analysis result, an early warning message is generated and output, and at least one of the voltage data, the analysis result, and the early warning message is displayed.

[0039] According to the present invention, a method for intelligent analysis of voltage indication of railway turnouts is provided. The method for displaying at least one of the voltage indication data, analysis results, and early warning information includes: dynamically refreshing the displayed data in a table format, wherein the table at least includes the turnout number, time, turnout type, turnout location, and voltage values ​​of each terminal group, and marking voltage values ​​identified as abnormal with a first visual feature; displaying the AC voltage value change curve of a preset terminal combination over time in a dynamic trend graph format, wherein the dynamic trend graph marks the upper and lower limits of the standard range of the voltage of the corresponding terminal combination, and highlighting curve segments exceeding the standard range with a second visual feature; the display of the dynamic trend graph distinguishes between the turnout's positioning state and its reversed state, and plots the AC voltage change curve of a specific terminal combination under the corresponding state.

[0040] Specifically, the system provides a data table that refreshes automatically every second on the user interface. The table header includes at least the turnout number, timestamp (accurate to the second and millisecond), turnout type (e.g., "ZDJ9"), turnout position ("positional" or "reverse"), and the specific voltage values ​​between each set of terminals ("X1-X2 AC (V)", "X1-X2 DC (V)", etc.). When the system determines, based on the parsing template, that a voltage value in a row of data is abnormal, it immediately changes the background or font color of that cell to a primary visual feature (e.g., a prominent red background), thus highlighting it in red in the table. Simultaneously, the system generates and updates a dynamic trend chart every second in another area of ​​the interface. This trend chart uses time as the horizontal axis and voltage values ​​as the vertical axis.

[0041] When the turnout is in the correct position, the trend chart plots and updates the AC voltage change curves for the corresponding specific terminal combinations (e.g., X2-X4, X1-X2, X1-X4) in real time. When the turnout is in the reverse position, the trend chart plots and updates the AC voltage change curves for another specific terminal combination (e.g., X3-X5, X1-X3, X1-X5). On the coordinate axis of each curve, two horizontal reference lines are automatically plotted based on the currently selected turnout type (e.g., ZDJ9) and its parsing template, marking the upper and lower limits of the standard range of the corresponding terminal combination voltage (e.g., AC 55V lower limit and AC 65V upper limit). During curve plotting, the system monitors each data point in real time. Once the voltage value represented by a data point exceeds the standard range, the data point and the curve segments connected before and after it are highlighted with a second visual feature (e.g., a bold red line segment or flashing highlight), thus enabling intuitive location of the anomaly in the trend chart.

[0042] This embodiment transforms complex, multi-dimensional, high-frequency voltage data and its analysis results into intuitive and easy-to-understand visualizations through a refined table and dynamic trend chart linkage display scheme. The tables provide real-time, accurate numerical snapshots and status overviews, and use prominent visual markers to ensure that anomalies are instantly captured, improving the directness and efficiency of information acquisition. The dynamic trend chart visualizes the abstract voltage change process as a curve evolving over time. By distinguishing between positional and reverse states and plotting corresponding key terminal voltage curves, it clearly demonstrates the electrical behavior characteristics of different operational stages. Overlaying standard range upper and lower limits and highlighting abnormal curve segments on the trend chart allows maintenance personnel to intuitively grasp the overall trend of voltage fluctuations, stable ranges, and the specific time and degree of anomaly occurrence, greatly assisting in the qualitative judgment of fault modes. This real-time, linked, and highlighted display method of tables and graphs frees the human brain from tedious data comparison and trend interpretation, achieving rapid conversion from data to insight, effectively supporting efficient fault location and accurate maintenance decision-making.

[0043] According to the present invention, a method for intelligent analysis of turnout voltage in rail transit is provided. In response to a user's query request for a specific turnout and a specific time period, the method retrieves and displays all the voltage data, the corresponding dynamic trend graph, and all generated warning information and their processing records within the specific time period. In response to the user's instruction, the method exports all or part of the displayed data, including the voltage data, dynamic trend graph data, and warning information, into an offline data file in a predefined format.

[0044] Specifically, the system provides a historical data tracing and export function module. Maintenance personnel can input a specific turnout number (e.g., "4#") and a specific time period (e.g., "2025-10-16 17:00:00 to 2025-10-16 18:00:00") into the interface and then initiate a query request. In response, the system retrieves all voltage data (one record per second) for that turnout within that time period from its high-frequency storage data warehouse. Based on this data, it recalculates and renders the corresponding dynamic trend chart. Simultaneously, the system retrieves all generated warning information for that turnout within the same time period from the warning log (including trigger time, anomaly type, fault cause, and handling suggestions) and displays the associated handling records (e.g., whether it has been confirmed, the personnel handling it, the handling measures, and the results). All information (original voltage data table, voltage trend chart, warning and handling records) is displayed in a tabbed or linked panel format on the same interface, facilitating comprehensive analysis by the user.

[0045] Furthermore, the system interface provides an export function button. When the user selects the data range to be exported (e.g., all data or only the raw data and trend chart data for a certain time period) and triggers the export command, the system responds to this command by packaging and formatting the voltage data (structured table), the underlying coordinate data (time-voltage series) used to generate dynamic trend charts, and the relevant warning information (including text descriptions) within the selected range into a predefined offline data file (e.g., generating an Excel file containing multiple worksheets, or a ZIP archive containing data tables and JSON description files), for the user to download for offline in-depth analysis, report preparation, or long-term archiving.

[0046] This embodiment constructs a complete closed loop for voltage monitoring and analysis data by providing refined querying, correlated display, and convenient export functions for historical data. This enables maintenance personnel to overcome the time limitations of real-time monitoring and conduct in-depth retrospective analysis and review of the operating status of any specific turnout in any historical period. By correlated display of raw data, visualized trends, and historical alarm records, this embodiment greatly enhances the completeness and systematic nature of fault analysis, facilitating rapid location of the context of abnormal events, analysis of fault development processes, and evaluation of the effectiveness of handling measures. Exporting the analysis results as offline files in a standard format breaks down the barriers between online intelligent analysis and offline reporting, archiving, and further professional processing, meeting the needs of maintenance management, report preparation, and fault case library construction, improving the availability and value of data assets, and supporting more scientific and efficient preventive maintenance and knowledge accumulation.

[0047] The intelligent analysis device for indicating voltage of railway turnouts provided by the present invention is described below. The intelligent analysis device for indicating voltage of railway turnouts described below can be referred to in correspondence with the intelligent analysis method for indicating voltage of railway turnouts described above.

[0048] like Figure 2 The image shows an intelligent analysis device for indicating voltage of a rail transit turnout provided by the present invention, comprising: Data acquisition module 210 is used to acquire the indicated voltage data of a specified turnout from the signal control cabinet server at a preset frequency. The indicated voltage data includes voltage values ​​between at least two different terminals. Template calling module 220 is used to call a parsing template that matches the turnout type according to the turnout type corresponding to the specified turnout. The parsing template includes the standard range of voltage for each terminal and the abnormal judgment rules. The intelligent analysis module 230 is used to analyze the voltage data in real time based on the anomaly determination rules and obtain the analysis results; The early warning display module 240 is used to generate and output early warning information when the voltage data is determined to be abnormal based on the analysis result, and to display at least one of the voltage data, the analysis result and the early warning information.

[0049] Specifically, the functions of each module in the user account management system provided in this embodiment of the invention correspond one-to-one with the operation flow of each step in the above method-like embodiments, and the achieved effects are also the same. For details, please refer to the above embodiments, and this will not be repeated in this embodiment of the invention.

[0050] Figure 3 An example is a schematic diagram of the physical structure of an electronic device, such as... Figure 3As shown, the electronic device may include a processor 310, a communication interface 320, a memory 330, and a communication bus 340, wherein the processor 310, the communication interface 320, and the memory 330 communicate with each other via the communication bus 340. The processor 310 can call logical instructions in the memory 330 to execute a smart analysis method for the voltage indication of a rail transit turnout. This method includes: obtaining voltage indication data of a specified turnout from a signal control cabinet server at a preset frequency, the voltage indication data containing voltage values ​​between at least two different terminals; calling an analysis template matching the turnout type according to the turnout type corresponding to the specified turnout, the analysis template containing the standard range of voltage at each terminal and anomaly judgment rules; performing real-time analysis of the voltage indication data based on the anomaly judgment rules to obtain analysis results; and generating and outputting a warning message when the voltage indication data is determined to be abnormal based on the analysis results, and displaying at least one of the voltage indication data, the analysis results, and the warning message.

[0051] Furthermore, the logical instructions in the aforementioned memory 330 can be implemented as software functional units and, when sold or used as independent products, can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present invention, essentially, or the part that contributes to the prior art, or a part of the technical solution, can be embodied in the form of a software product. This computer software product is stored in a storage medium and includes several instructions to cause a computer device (which may be a personal computer, server, or network device, etc.) to execute all or part of the steps of the methods described in the various embodiments of the present invention. The aforementioned storage medium includes various media capable of storing program code, such as USB flash drives, portable hard drives, read-only memory (ROM), random access memory (RAM), magnetic disks, or optical disks.

[0052] On the other hand, the present invention also provides a computer program product, which includes a computer program that can be stored on a non-transitory computer-readable storage medium. When the computer program is executed by a processor, the computer can execute the intelligent analysis method for track turnout indication voltage provided by the above methods. The method includes: obtaining indication voltage data of a specified turnout from a signal control cabinet server at a preset frequency, the indication voltage data containing voltage values ​​between at least two different terminals; calling an analysis template matching the turnout type according to the turnout type corresponding to the specified turnout, the analysis template containing the standard range of voltage at each terminal and anomaly judgment rules; performing real-time analysis on the indication voltage data based on the anomaly judgment rules to obtain analysis results; and generating and outputting early warning information when the indication voltage data is determined to be abnormal according to the analysis results, and displaying at least one of the indication voltage data, analysis results, and early warning information.

[0053] In another aspect, the present invention also provides a non-transitory computer-readable storage medium storing a computer program thereon. When executed by a processor, the computer program implements the intelligent analysis method for track turnout indication voltage provided by the above methods. The method includes: acquiring indication voltage data of a specified turnout from a signal control cabinet server at a preset frequency, the indication voltage data containing voltage values ​​between at least two different terminals; calling a parsing template matching the turnout type according to the turnout type corresponding to the specified turnout, the parsing template containing the standard range of voltage at each terminal and anomaly judgment rules; performing real-time parsing of the indication voltage data based on the anomaly judgment rules to obtain the parsing result; and generating and outputting a warning message when the indication voltage data is determined to be abnormal according to the parsing result, and displaying at least one of the indication voltage data, the parsing result, and the warning message.

[0054] The device embodiments described above are merely illustrative. The units described as separate components may or may not be physically separate. The components shown as units may or may not be physical units; that is, they may be located in one place or distributed across multiple network units. Some or all of the modules can be selected to achieve the purpose of this embodiment according to actual needs. Those skilled in the art can understand and implement this without any creative effort.

[0055] Through the above description of the embodiments, those skilled in the art can clearly understand that each embodiment can be implemented by means of software plus necessary general-purpose hardware platforms, and of course, it can also be implemented by hardware. Based on this understanding, the above technical solutions, in essence or the part that contributes to the prior art, can be embodied in the form of a software product. This computer software product can be stored in a computer-readable storage medium, such as ROM / RAM, magnetic disk, optical disk, etc., and includes several instructions to cause a computer device (which may be a personal computer, server, or network device, etc.) to execute the methods described in the various embodiments or some parts of the embodiments.

[0056] 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 foregoing embodiments, those skilled in the art should understand that modifications can still be made to the technical solutions described in the foregoing embodiments, or equivalent substitutions can be made to some of the technical features; and these modifications or substitutions do not cause the essence of the corresponding technical solutions to deviate from the spirit and scope of the technical solutions of the embodiments of the present invention.

Claims

1. A method for intelligent analysis of voltage indication on rail transit turnouts, characterized in that, include: The indicated voltage data of a specified turnout is obtained from the signal control cabinet server at a preset frequency. The indicated voltage data includes voltage values ​​between at least two different terminals. Based on the turnout type corresponding to the specified turnout, a parsing template matching the turnout type is invoked. The parsing template includes the standard range of voltage for each terminal and the rules for determining abnormalities. Based on the aforementioned anomaly detection rules, the voltage data is analyzed in real time to obtain the analysis results; When the voltage data is determined to be abnormal based on the analysis result, an early warning message is generated and output, and at least one of the voltage data, the analysis result, and the early warning message is displayed.

2. The intelligent analysis method for track turnout indication voltage according to claim 1, characterized in that, The preset frequency is once per second, and the voltage data includes AC voltage values ​​and DC voltage values.

3. The intelligent analysis method for track turnout indication voltage according to claim 1, characterized in that, The step of dynamically acquiring the indicated voltage data of a specified turnout from the signal control cabinet server at a preset frequency includes: Receive the turnout number and monitoring period input by the user; Based on the turnout number and monitoring period, the raw voltage data is periodically obtained from the signal control cabinet server; The original voltage data is converted to generate structured voltage data, which includes timestamps, turnout numbers, and voltage values ​​between multiple sets of terminals.

4. The intelligent analysis method for track turnout indication voltage according to claim 1, characterized in that, The step of displaying at least one of the voltage data, analysis results, and warning information includes: The data is dynamically refreshed and displayed in a table format. The table includes at least the turnout number, time, turnout type, turnout location, and voltage values ​​of each set of terminals. Abnormal voltage values ​​are marked with a first visual feature. The AC voltage value of a preset terminal combination changes over time in the form of a dynamic trend graph. The dynamic trend graph is marked with the upper and lower limits of the standard range of the voltage of the corresponding terminal combination, and the curve segments that exceed the standard range are highlighted with a second visual feature. The dynamic trend graph distinguishes between the turnout's positioning and reverse positions, and plots the AC voltage change curves for specific terminal combinations under the corresponding positions.

5. The intelligent analysis method for track turnout indication voltage according to claim 1, characterized in that, The anomaly determination rules include rules based on the derived parameters representing the trend of voltage data changes over time. The step of performing real-time parsing of the voltage data based on the anomaly determination rule to obtain the parsing results includes: Calculate the rate of change or fluctuation amplitude of the voltage data within a preset time window, and use it as a derived parameter; The derived parameter is compared with a first threshold set in the parsing template, or the derived parameter is combined with the current value representing the voltage data and compared with a second threshold set in the parsing template. When the comparison result meets the preset conditions, it is determined that the voltage data indicates a hidden anomaly.

6. The intelligent analysis method for track switch indication voltage according to claim 1, characterized in that, The method further includes: In response to a user's query request for a specific turnout and a specific time period, the system retrieves and displays all the voltage data, the corresponding dynamic trend chart, and all generated early warning information and their processing records within the specified time period. In response to user instructions, all or part of the displayed data, including the voltage data, dynamic trend graph data, and warning information, are exported as an offline data file in a predefined format.

7. A smart analysis device for indicating voltage of a rail transit turnout, characterized in that, include: The data acquisition module is used to acquire the indicated voltage data of a specified turnout from the signal control cabinet server at a preset frequency. The indicated voltage data includes voltage values ​​between at least two different terminals. The template calling module is used to call the parsing template that matches the turnout type according to the turnout type corresponding to the specified turnout. The parsing template includes the standard range of voltage for each terminal and the abnormal judgment rules. The intelligent analysis module is used to analyze the voltage data in real time based on the anomaly determination rules and obtain the analysis results; The early warning display module is used to generate and output early warning information when the voltage data is determined to be abnormal based on the analysis result, and to display at least one of the voltage data, the analysis result and the early warning information.

8. An electronic device comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, characterized in that, When the processor executes the computer program, it implements the intelligent analysis method for track turnout indication voltage as described in any one of claims 1 to 6.

9. A non-transitory computer-readable storage medium having a computer program stored thereon, characterized in that, When the computer program is executed by the processor, it implements the intelligent analysis method for representing voltage of rail transit turnouts as described in any one of claims 1 to 6.

10. A computer program product, comprising a computer program, characterized in that, When the computer program is executed by the processor, it implements the intelligent analysis method for representing voltage of rail transit turnouts as described in any one of claims 1 to 6.

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