Supervision method, device and equipment for urban rail signal equipment maintenance and medium
By defining models and monitoring rules for urban rail signaling equipment, an automated maintenance and monitoring process is achieved, solving the problem of non-standard maintenance in existing technologies and improving equipment operation stability and operational safety.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2025-12-15
- Publication Date
- 2026-03-27
AI Technical Summary
The maintenance of existing urban rail signaling equipment relies on manual operation, which makes it difficult to achieve precise control of the operation process, resulting in non-standard maintenance and affecting the stable operation and safety of the equipment.
By defining the main model, sensing data model, and alarm data model of urban rail signaling equipment, supervision rules are formulated and interconnected with the production planning management system to realize automated supervision processes. The system receives maintenance instructions in real time, performs logical judgments and analyses, and generates supervision results.
This has enabled standardized and meticulous supervision of the maintenance procedures for urban rail signaling equipment, improved work quality, reduced the risk of operational interruptions, and ensured the normal working condition of the equipment.
Smart Images

Figure CN121745900A_ABST
Abstract
Description
Technical Field
[0001] This invention relates to the field of rail transit, and in particular to a method, apparatus, equipment, and medium for monitoring the maintenance of urban rail signaling equipment. Background Technology
[0002] Urban rail transit signaling equipment (hereinafter referred to as tronin signaling equipment) is the core equipment for ensuring train operation safety and efficiency. Regular maintenance is a prerequisite for maintaining its stable and reliable operation. Tronin signaling equipment has a complex working principle, and maintenance operations must strictly follow established procedures. However, existing maintenance standards mostly rely on written documents and verbal communication. The standardization of the operation process depends entirely on the responsibility and professional competence of the operators, which can easily lead to problems such as non-standard maintenance and omissions in procedures, resulting in equipment failure and affecting the normal operation of rail transit the following day. Although some auxiliary maintenance tools and equipment have been put into use, they still cannot achieve refined control over maintenance operations.
[0003] Based on the above situation, it is urgent to use digital and intelligent technologies to implement refined supervision and control over the standardization, omissions, and equipment status of urban rail signal equipment maintenance procedures, so as to improve the quality of the operation process, ensure that the equipment is in normal working condition before the next day's operation, avoid the risk of operation interruption and human error, and thus comprehensively improve the overall quality of maintenance operations.
[0004] The statements herein provide only background information in relation to this invention and do not necessarily constitute prior art. Summary of the Invention
[0005] The purpose of this invention is to provide a monitoring method and device for the maintenance process of urban rail signaling equipment, which uses digital technology to achieve refined control of maintenance operations.
[0006] To achieve the above objectives, the present invention provides a monitoring method for the maintenance of urban rail signaling equipment, comprising: S1. Predefine and configure the various model data and conditions required for the supervision of urban rail signaling equipment maintenance procedures, including: defining the main model of urban rail signaling equipment, the sensing data model, and the alarm data model; formulating supervision rule models for various types of equipment; and establishing the mapping relationship between the equipment and the target equipment in the production planning management system. S2. After the maintenance operation is triggered, the supervision process is automatically executed, including: receiving maintenance instruction data from the production planning management system in real time, parsing and mapping it into tasks to be processed; performing logical judgments and analyses on the tasks to be processed in sequence based on the supervision rule model; and feeding back the supervision results to the production planning management system.
[0007] Optionally, step S1 includes: S1.1 Define the main model, sensing data model, and alarm data model of urban rail signaling equipment; S1.2 Based on the main model, perception data model and alarm data model of urban rail signaling equipment, define the supervision rule model of various types of urban rail signaling equipment, including the definition of supervision items, the logical judgment content of each supervision item, the associated data objects and the pass criteria; S1.3 Define the mapping relationship between urban rail signaling equipment and target equipment in the production planning management system, so that urban rail signaling equipment has the conditions for data exchange with maintenance instructions from the production planning management system; S1.4 Configure the equipment required for monitoring.
[0008] Optionally, the definition of the main model of urban rail signaling equipment is as follows: through visual configuration, urban rail signaling equipment is categorized according to business purpose to form several equipment types, and a fixed equipment type ID is assigned to each equipment type; then, specific urban rail signaling equipment is instantiated to form a list of main equipment types, wherein each instantiated equipment has a unique equipment ID.
[0009] Optionally, the definition of the urban rail signaling equipment sensing data model specifically involves: defining sensing data items that can be obtained by monitoring or other systems for each type of equipment through visual configuration, including defining the meaning and key attributes of the sensing data items; and typifying each sensing data item to obtain several sensing data types, and assigning a fixed sensing data type ID to each sensing data type.
[0010] Optionally, the sensing data types include digital signals, analog signals, and recorded curves.
[0011] Optionally, the definition of the alarm data model for urban rail signaling equipment specifically involves: defining the alarm data that can be obtained by monitoring or other systems for each type of equipment through a visual configuration method, and assigning a fixed alarm code to each type of alarm data.
[0012] Optionally, step S1.2 includes: defining supervision rules for the device type defined in S1.1 through visual configuration; creating multiple supervision rules for each device type, with supervision rule parameters including rule name, analysis cycle, analysis duration, end-of-life control time, and timeout control time.
[0013] Optionally, step S1.2 further includes: configuring multiple supervision items for each supervision rule, wherein each supervision item specifies a supervision item name, a supervision item data object, a supervision start time, and text to be displayed when supervision passes or fails; wherein the data object of the supervision item includes sensing data or alarm data.
[0014] Optionally, step S1.2 further includes: configuring the logical judgment content and passing criteria for each supervised item; When the data object of the supervised item is alarm data, the pass criteria for the supervised item are as follows: select multiple alarm codes under this device type, and pass if any alarm is triggered in the selected alarm code set, pass if all alarms are triggered, pass if none of the alarms are triggered, or pass if none of the alarms are recovered after being triggered. When the data object of the supervised item is perceptual data, configure the type of perceptual data used and edit the criterion logic through a Python script.
[0015] Optionally, step S1.3 specifically involves: importing the target equipment list file exported from the production planning management system in a visual manner; establishing a mapping table between the unique equipment ID of the urban rail signaling equipment defined in S1.1 and the unique target equipment ID of the production planning management system by matching equipment names; and when maintenance instruction data is received, associating the maintenance instruction data with the corresponding equipment in the main model of the urban rail signaling equipment by searching the mapping table.
[0016] Optionally, step S1.4 specifically involves adding the specific devices to which the supervision rule applies, under the supervision rule defined in step S1.2, in a visual manner.
[0017] Optionally, step S2 includes: S2.1 Receive maintenance instruction data from the production planning management system in real time. The maintenance instruction data includes at least target equipment information and maintenance task time range for each target equipment. The maintenance task time range includes the start and end time of the maintenance task. Then, parse and map the target equipment information to the main model of the urban rail signaling equipment, record the parsed and mapped data as a task to be processed, and add it to the task queue. S2.2. Start traversing the queue of tasks to be processed. For each task item to be processed in the queue, based on the device information recorded therein, associate it with the supervision rule model predefined for that type of device, that is, match the applicable supervision rule for that device. S2.3. Based on the supervision rules determined in step S2.2, perform timed processing on the task items to be processed, determine whether the start time of the maintenance task associated with the task item to be processed has passed, and if so, create a single device analysis task and execute the various supervision rules associated with the device. S2.4 Repeat steps S2.2 and S2.3 until the end time of the maintenance task associated with each pending task item in the pending task queue has arrived, and at the same time notify the production planning management system of the monitoring results.
[0018] Optionally, in step S2.3, the execution process of each supervision rule is as follows: first, according to the data object specified for each supervision item in step S1.2, the corresponding data is obtained from the device; then, based on the obtained data, a logical judgment is made to obtain the supervision result of whether each supervision item meets the passing criteria, and the result is recorded.
[0019] Optionally, step S2 further includes: If there are any pending tasks that have not been completed within the maintenance task timeframe, a progress delay warning message will be automatically generated and sent to the large screen page of the supervision and control integrated display module before the maintenance work is completed, providing a reminder.
[0020] To achieve the above objectives, the present invention also provides a monitoring device for the maintenance of urban rail signaling equipment, which implements the above-mentioned monitoring method. The monitoring device includes: a monitoring and control analysis service module, a production data interface module, a monitoring data interface module, a database, a rule configuration service module, and a monitoring and control rule configuration module. The supervision and control analysis service module is connected to the database, the production data interface module, and the monitoring data interface module respectively. It loads the main model of urban rail signaling equipment, the perception data model, and the supervision rule model from the database, receives maintenance instruction data through the production data interface module, and obtains monitoring data of urban rail signaling equipment through the monitoring data interface module. It executes the supervision process and stores supervision process data and supervision result data into the database. The production data interface module is also connected to an external production planning management system, which receives maintenance instruction data from the production planning management system, performs conversion processing, and then transmits it to the monitoring and control analysis service module. The monitoring data interface module is also connected to an external urban rail signal equipment maintenance support system. It receives and converts the monitoring data of the urban rail signal equipment from the maintenance support system and then transmits it to the supervision and control analysis service module. The monitoring data of the urban rail signal equipment includes the alarm data and sensing data of the urban rail signal equipment. The database is responsible for the persistent storage of various model data, supervision process data, and supervision result data; The rule configuration service module is connected to the supervision and control rule configuration module and the database, respectively. It is responsible for providing the background management of the configuration of supervision rules and storing the supervision rules in the database. The monitoring and control rule configuration module provides a visual configuration function for monitoring rules.
[0021] Optionally, the monitoring device further includes a monitoring and control integrated display module, which is connected to the monitoring and control analysis service module. It obtains monitoring result data from the monitoring and control analysis service module and is responsible for summarizing and displaying the maintenance monitoring results of urban rail signaling equipment and other types of monitoring results.
[0022] To achieve the above objectives, the present invention also provides an electronic device, including a processor and a memory, wherein a computer program is stored in the memory, and when the computer program is executed by the processor, the above-described monitoring method is implemented.
[0023] To achieve the above objectives, the present invention also provides a computer-readable storage medium having a computer program stored thereon, which, when executed by a processor, implements the above-described monitoring method.
[0024] Compared with the prior art, the present invention has at least the following beneficial effects: 1. A method and device for supervising the maintenance procedures of urban rail signaling equipment are proposed, providing front-line production and maintenance departments with technical means to standardize equipment maintenance procedures; at the same time, it also provides maintenance operation management departments with technical means to refine the supervision and control of operation quality and optimize the operation process.
[0025] 2. A configurable method for supervision rules of maintenance procedures is proposed. The supervision rules of maintenance are highly abstracted. The supervision device of this invention supports the configuration of maintenance logic rules and data acquisition methods according to the type of signal equipment. At the same time, it supports the development of scripted logic algorithms, which can be quickly adapted to the actual situation of various urban rail transit companies for practical application.
[0026] 3. A standard data model for signal equipment objects is proposed, which is compatible with multiple interface protocols. It can uniformly model and match the data related to maintenance operations. This improvement is the technical basis for realizing configurable supervision rules. Attached Figure Description
[0027] Figure 1 This is a schematic diagram of the monitoring device of the present invention. Detailed Implementation
[0028] The following detailed description, in conjunction with the accompanying drawings and specific embodiments, provides a further detailed explanation of the monitoring method, apparatus, equipment, and medium for the maintenance of urban rail signaling equipment proposed in this invention. The advantages and features of this invention will become clearer from the following description. It should be noted that the drawings are in a very simplified form and use non-precise proportions, used only to facilitate and clearly illustrate the embodiments of this invention. Please refer to the drawings to make the objectives, features, and advantages of this invention more apparent and understandable. It should be understood that the structures, proportions, sizes, etc., depicted in the accompanying drawings are only for illustrative purposes to aid those skilled in the art and are not intended to limit the implementation conditions of this invention. Therefore, they have no substantial technical significance. Any modifications to the structure, changes in proportions, or adjustments to the size, without affecting the effects and objectives achieved by this invention, should still fall within the scope of the technical content disclosed in this invention.
[0029] This invention provides a monitoring method for the maintenance process of urban rail signaling equipment, comprising the following steps: S1. Predefine and configure the various model data and conditions required for the supervision of urban rail signaling equipment maintenance procedures, including: defining the main model of urban rail signaling equipment, the sensing data model and the alarm data model; formulating supervision rule models for various types of equipment; establishing the mapping relationship with the target equipment of the production planning management system; and specific equipment configuration.
[0030] Step S1 specifically includes the following steps: S1.1 Define the main model, sensing data model and alarm data model of the urban rail signaling equipment to lay the foundation for subsequent steps. The sensing data model includes the switching quantity, analog quantity and recorded curve of the equipment.
[0031] The urban rail signaling equipment includes, but is not limited to, turnout switch machines, ATS (Automatic Train Protection) equipment, ATC (Automatic Train Control) equipment, interlocking equipment, fully electronic interlocking equipment, axle counting equipment, and power supply equipment. Specifically, the main model for urban rail signaling equipment is defined by classifying the equipment according to its operational purpose through visual configuration, i.e., typifying it into several equipment types, and assigning a fixed equipment type ID to each type. Then, specific urban rail signaling equipment is instantiated to form a main equipment type list, where each instantiated device has a unique equipment ID. For example, turnout switch machines can be classified into two equipment types: AC switch machines and DC switch machines, where each specific AC switch machine and each specific DC switch machine has its own unique equipment ID.
[0032] Specifically, defining the sensing data model for urban rail signaling equipment involves defining, through visual configuration, sensing data items that can be obtained by monitoring or other systems for each type of equipment after categorization. This includes defining the meaning and key attributes of each sensing data item. Each sensing data item is then categorized into several sensing data types (such as switch quantities, analog quantities, and recording curves), and a fixed sensing data type ID is assigned to each type. For example, for an AC switch machine, the definable sensing data items include: position indicating switch quantity, reverse position indicating switch quantity, 1DQJ switch quantity, position indicating AC voltage analog quantity, reverse position indicating AC voltage analog quantity, position indicating DC voltage analog quantity, reverse position indicating DC voltage analog quantity, total operating power recording curve, and operating A, B, and C phase current recording curves. Among them, the position indicating a switch quantity, the reverse position indicating a switch quantity, and the 1DQJ switch quantity belong to the switch quantity sensing data type; the position indicating an AC voltage analog quantity, the reverse position indicating an AC voltage analog quantity, the position indicating a DC voltage analog quantity, and the reverse position indicating a DC voltage analog quantity belong to the analog quantity sensing data type; the total power recording curve of the action and the current recording curves of phases A, B, and C of the action belong to the recording curve sensing data type.
[0033] Specifically, the definition of the alarm data model for urban rail signaling equipment involves defining, through visual configuration, the alarm data that can be obtained by monitoring or other systems for each type of equipment after categorization. Each type of alarm data is then coded, meaning a fixed alarm code is assigned to each type of alarm data. For example, for an AC switch machine, the definable alarm data includes positioning gap alarms and reverse positioning gap alarms, each assigned a separate alarm code.
[0034] S1.2 Based on the main model, perception data model and alarm data model of urban rail signaling equipment, define the supervision rule model of various types of urban rail signaling equipment, including the definition of supervision items, the logical judgment content of each supervision item, the associated data objects and the pass criteria.
[0035] The defined supervision rule model for urban rail signaling equipment is specifically as follows: Supervision rules for each type of equipment are defined under the equipment types defined in S1.1 using a visual configuration method. Multiple supervision rules can be created for each equipment type. Supervision rule parameters include rule name, analysis period, analysis duration, end-of-life control time, and timeout control time.
[0036] Furthermore, each supervision rule can be configured with multiple supervision items. Each supervision item can specify a supervision item name, a data object for the supervision item, a supervision start time, and the text displayed when supervision passes or fails. The data object for the supervision item includes sensor data or alarm data; the supervision start time includes when supervision begins or after a specified step is completed.
[0037] Furthermore, each monitored item can be configured with its logical judgment content and pass criteria. When the data object of the monitored item is alarm data, the pass criteria for the monitored item are: select multiple alarm codes under this device type; if any alarm in the selected alarm code set is triggered, pass; if all alarms are triggered, pass; if none of the alarms are triggered, pass; if none of the alarms are triggered and then recovered, pass. When the data object of the monitored item is sensor data, the type of sensor data used can be configured, and the pass criterion logic can be edited through a Python script. The Python script can reference real-time sensor data at the time of monitoring for logical judgment.
[0038] S1.3 Define the mapping relationship between urban rail signaling equipment and target equipment in the production planning management system, so that the urban rail signaling equipment has the conditions for data exchange with the maintenance instructions of the production planning management system.
[0039] The mapping relationship between the definition and the target equipment in the production planning management system is as follows: import the target equipment list file exported from the production planning management system in a visual manner; establish a mapping table between the unique equipment ID of the urban rail signaling equipment defined in S1.1 and the unique ID of the target equipment in the production planning management system by matching equipment names; when maintenance instruction data is received, the maintenance instruction data is associated with the corresponding equipment in the main model of the urban rail signaling equipment by looking up the mapping table, so that the urban rail signaling equipment has the conditions to communicate with the maintenance instruction data of the production planning management system.
[0040] S1.4 Configure the equipment required for monitoring.
[0041] The specific devices to be monitored in the configuration are added visually under the monitoring rules defined in step S1.2, and the specific devices to which the monitoring rules apply.
[0042] S2. After the maintenance operation is triggered, the supervision process is automatically executed, including: receiving maintenance instruction data from the production planning management system in real time, parsing and mapping it into tasks to be processed; performing logical judgments and analyses on the tasks to be processed in sequence based on the predefined supervision rule model; and finally feeding back the supervision results to the production planning management system.
[0043] Step S2 specifically includes the following steps: S2.1 When maintenance work begins, maintenance instruction data from the production planning management system is received in real time. The maintenance instruction data includes at least target equipment information and the maintenance task time range for each target equipment. The maintenance task time range includes the start and end times of the maintenance task. Then, the target equipment information sent by the production planning management system is parsed and mapped to the urban rail signaling equipment master model defined in step S1.1. The parsed and mapped data is recorded as a task to be processed and added to the task queue.
[0044] S2.2. Start traversing the task queue to be processed described in step S2.1. For each task item to be processed in the queue, according to the device information recorded therein, associate it with the supervision rule model predefined for this type of device in step S1.2, that is, match the applicable supervision rule for this device.
[0045] S2.3. Based on the supervision rules determined in step S2.2, perform timed processing on the tasks to be processed, and determine whether the start time of the maintenance task associated with the task to be processed has passed. If so, create a single-device analysis task and execute the various supervision rules associated with that device. The execution process of each supervision rule is as follows: First, according to the data object specified for each supervision item in step S1.2, obtain the corresponding data from the device. Then, based on the obtained data, perform logical judgment to obtain the supervision result of whether each supervision item meets the passing criteria, and record the supervision result.
[0046] S2.4 Repeat steps S2.2 and S2.3 until the end time of the maintenance task associated with each pending task item in the pending task queue has arrived, and at the same time notify the production planning management system of the monitoring results.
[0047] S2.5 If there are any pending tasks that have not been completed within the maintenance task time frame, a progress delay warning message will be automatically generated and sent to the large screen page of the supervision and control integrated display module before the maintenance work is completed, to provide a reminder.
[0048] This invention also provides a monitoring device for the maintenance process of urban rail signaling equipment. This device is a modular software system used to implement the aforementioned monitoring method, such as... Figure 1 As shown, the monitoring device includes the following components: a monitoring and control analysis service module, a production data interface module, a monitoring data interface module, a database, a rule configuration service module, a monitoring and control rule configuration module, and a monitoring and control comprehensive display module.
[0049] The monitoring and control analysis service module is the core module of the device. It is connected to the database, production data interface module, and monitoring data interface module, respectively. It is responsible for loading the main model of urban rail signaling equipment, perception data model and monitoring rule model from the database, receiving maintenance instruction data through the production data interface module and obtaining monitoring data of urban rail signaling equipment through the monitoring data interface module, executing the monitoring process, and storing the monitoring process data and monitoring result data into the database.
[0050] The production data interface module is connected to the monitoring and control analysis service module and also to an external production planning management system. It is responsible for receiving maintenance instruction data from the production planning management system, processing and converting it, and then transmitting it to the monitoring and control analysis service module. The maintenance instructions include maintenance task start and end instructions.
[0051] The monitoring data interface module is connected to the supervision and control analysis service module and also to an external urban rail transit signal equipment maintenance support system. It is responsible for receiving monitoring data from the urban rail transit signal equipment maintenance support system, processing and converting it, and then transmitting it to the supervision and control analysis service module. The monitoring data of the urban rail transit signal equipment includes alarm data and sensing data from the equipment.
[0052] The database is responsible for the persistent storage of main model data of urban rail signaling equipment, data of perception data model and alarm data model, data of supervision rule model, data of supervision process and data of supervision results.
[0053] The rule configuration service module is connected to the supervision and control rule configuration module and the database, respectively. It is responsible for providing the background management of the configuration of supervision rules and storing the supervision rules in the database.
[0054] The monitoring and control rule configuration module is connected to the monitoring rule configuration service module, providing a visual configuration function for monitoring rules.
[0055] The monitoring and control integrated display module is connected to the monitoring and control analysis service module. It obtains monitoring result data from the monitoring and control analysis service module and is responsible for summarizing and displaying the maintenance monitoring results of urban rail signaling equipment and other types of monitoring results.
[0056] Furthermore, the present invention also provides an electronic device, including a processor and a memory, wherein a computer program is stored in the memory, and when the computer program is executed by the processor, the above-described method for supervising the maintenance process of urban rail signaling equipment is implemented.
[0057] Furthermore, the present invention also provides a computer-readable storage medium having a computer program stored thereon, wherein when the computer program is executed by a processor, it implements the above-described method for supervising the maintenance procedures of urban rail signaling equipment.
[0058] It should be noted that, in this document, the terms "comprising," "including," or any other variations thereof are intended to cover non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements includes not only those elements but also other elements not expressly listed, or elements inherent to such a process, method, article, or apparatus. Unless otherwise specified, an element defined by the phrase "comprising one..." does not exclude the presence of other identical elements in the process, method, article, or apparatus that includes said element.
[0059] In the description of this invention, it should be understood that the terms "center," "height," "thickness," "upper," "lower," "vertical," "horizontal," "top," "bottom," "inner," "outer," "axial," "radial," and "circumferential," etc., indicating orientation or positional relationships, are based on the orientation or positional relationships shown in the accompanying drawings and are only for the convenience of describing the invention and simplifying the description, and do not indicate or imply that the device or element referred to must have a specific orientation, or be constructed and operated in a specific orientation, and therefore should not be construed as a limitation of the invention. In the description of this invention, unless otherwise stated, "a plurality of" means two or more.
[0060] In the description of this invention, unless otherwise explicitly specified and limited, the terms "installation," "connection," "linking," and "fixing" should be interpreted broadly. For example, they can refer to a fixed connection, a detachable connection, or an integral part; they can refer to a mechanical connection or an electrical connection; they can refer to a direct connection or an indirect connection through an intermediate medium; they can refer to the internal communication of two components or the interaction between two components. Those skilled in the art can understand the specific meaning of the above terms in this invention according to the specific circumstances.
[0061] In this invention, unless otherwise explicitly specified and limited, "above" or "below" the second feature can include direct contact between the first and second features, or contact between the first and second features through another feature between them. Furthermore, "above," "over," and "on top" of the second feature includes the first feature directly above or diagonally above the second feature, or simply indicates that the first feature is at a higher horizontal level than the second feature. "Below," "below," and "under" the second feature includes the first feature directly below or diagonally below the second feature, or simply indicates that the first feature is at a lower horizontal level than the second feature.
[0062] Although the present invention has been described in detail through the preferred embodiments above, it should be understood that the above description should not be considered as a limitation of the present invention. Various modifications and substitutions to the present invention will be apparent to those skilled in the art after reading the above description. Therefore, the scope of protection of the present invention should be defined by the appended claims.
Claims
1. A method for supervising the maintenance of urban rail signaling equipment, characterized in that, include: S1. Predefine and configure the various model data and conditions required for the supervision of urban rail signaling equipment maintenance procedures, including: defining the main model of urban rail signaling equipment, the sensing data model, and the alarm data model; formulating supervision rule models for various types of equipment; and establishing the mapping relationship between the equipment and the target equipment in the production planning management system. S2. After the maintenance operation is triggered, the supervision process is automatically executed, including: receiving maintenance instruction data from the production planning management system in real time, parsing and mapping it into tasks to be processed; performing logical judgments and analyses on the tasks to be processed in sequence based on the supervision rule model; and feeding back the supervision results to the production planning management system.
2. The monitoring method for the maintenance of urban rail signaling equipment as described in claim 1, characterized in that, Step S1 includes: S1.1 Define the main model, sensing data model, and alarm data model of urban rail signaling equipment; S1.2 Based on the main model, perception data model and alarm data model of urban rail signaling equipment, define the supervision rule model of various types of urban rail signaling equipment, including the definition of supervision items, the logical judgment content of each supervision item, the associated data objects and the pass criteria; S1.3 Define the mapping relationship between urban rail signaling equipment and target equipment in the production planning management system, so that urban rail signaling equipment has the conditions for data exchange with maintenance instructions from the production planning management system; S1.4 Configure the equipment required for monitoring.
3. The monitoring method for the maintenance of urban rail signaling equipment as described in claim 2, characterized in that, The definition of the main model for urban rail signaling equipment is as follows: through visual configuration, urban rail signaling equipment is categorized according to business purposes to form several equipment types, and a fixed equipment type ID is assigned to each equipment type; then, specific urban rail signaling equipment is instantiated to form a list of main equipment types, where each instantiated equipment has a unique equipment ID.
4. The monitoring method for the maintenance of urban rail signaling equipment as described in claim 3, characterized in that, The definition of the urban rail signaling equipment sensing data model is as follows: through visual configuration, under each type of equipment, the sensing data items that can be obtained by monitoring or other systems are defined, including the meaning of the sensing data items and their key attributes; and each sensing data item is categorized to obtain several sensing data types, and a fixed sensing data type ID is assigned to each sensing data type.
5. The monitoring method for the maintenance of urban rail signaling equipment as described in claim 4, characterized in that, The types of sensing data include digital signals, analog signals, and recorded curves.
6. The monitoring method for the maintenance of urban rail signaling equipment as described in claim 3, characterized in that, The definition of the alarm data model for urban rail signaling equipment is as follows: through visual configuration, under each type of equipment, the alarm data that can be obtained by monitoring or other systems is defined, and a fixed alarm code is assigned to each type of alarm data.
7. The monitoring method for the maintenance of urban rail signaling equipment as described in claim 3, characterized in that, Step S1.2 includes: defining supervision rules for the device type defined in S1.1 through visual configuration; creating multiple supervision rules for each device type, with supervision rule parameters including rule name, analysis cycle, analysis duration, end-of-life control time, and timeout control time.
8. The monitoring method for the maintenance of urban rail signaling equipment as described in claim 7, characterized in that, Step S1.2 further includes: configuring multiple supervision items for each supervision rule, and specifying the supervision item name, the data object of the supervision item, the supervision start time, and the text to be displayed when the supervision passes or fails; The data objects for the monitored items include sensor data or alarm data.
9. The monitoring method for the maintenance of urban rail signaling equipment as described in claim 8, characterized in that, Step S1.2 further includes: configuring the logical judgment content and passing criteria for each supervised item; When the data object of the supervised item is alarm data, the pass criteria for the supervised item are as follows: select multiple alarm codes under this device type, and pass if any alarm is triggered in the selected alarm code set, pass if all alarms are triggered, pass if none of the alarms are triggered, or pass if none of the alarms are recovered after being triggered. When the data object of the supervised item is perceptual data, configure the type of perceptual data used and edit the criterion logic through a Python script.
10. The monitoring method for the maintenance of urban rail signaling equipment as described in claim 3, characterized in that, Step S1.3 specifically involves: importing the target equipment list file exported from the production planning management system in a visual manner; establishing a mapping table between the unique equipment ID of the urban rail signaling equipment defined in S1.1 and the unique target equipment ID of the production planning management system by matching equipment names; and when maintenance instruction data is received, associating the maintenance instruction data with the corresponding equipment in the main model of the urban rail signaling equipment by looking up the mapping table.
11. The monitoring method for the maintenance of urban rail signaling equipment as described in claim 2, characterized in that, Specifically, step S1.4 involves adding the specific devices to which the supervision rule applies, under the supervision rule defined in step S1.2, in a visual manner.
12. The monitoring method for the maintenance of urban rail signaling equipment as described in claim 2, characterized in that, Step S2 includes: S2.1 Receive maintenance instruction data from the production planning management system in real time. The maintenance instruction data includes at least target equipment information and maintenance task time range for each target equipment. The maintenance task time range includes the start and end time of the maintenance task. Then, parse and map the target equipment information to the main model of the urban rail signaling equipment, record the parsed and mapped data as a task to be processed, and add it to the task queue. S2.
2. Start traversing the queue of tasks to be processed. For each task item to be processed in the queue, based on the device information recorded therein, associate it with the supervision rule model predefined for that type of device, that is, match the applicable supervision rule for that device. S2.
3. Based on the supervision rules determined in step S2.2, perform timed processing on the task items to be processed, determine whether the start time of the maintenance task associated with the task item to be processed has passed, and if so, create a single device analysis task and execute the various supervision rules associated with the device. S2.4 Repeat steps S2.2 and S2.3 until the end time of the maintenance task associated with each pending task item in the pending task queue has arrived, and at the same time notify the production planning management system of the monitoring results.
13. The monitoring method for the maintenance of urban rail signaling equipment as described in claim 12, characterized in that, In step S2.3, the execution process of each supervision rule is as follows: First, according to the data object specified for each supervision item in step S1.2, the corresponding data is obtained from the device. Then, based on the obtained data, a logical judgment is made to obtain the supervision result of whether each supervision item meets the pass criteria, and the result is recorded.
14. The monitoring method for the maintenance of urban rail signaling equipment as described in claim 12, characterized in that, Step S2 further includes: If there are any pending tasks that have not been completed within the maintenance task timeframe, a progress delay warning message will be automatically generated and sent to the large screen page of the supervision and control integrated display module before the maintenance work is completed, providing a reminder.
15. A monitoring device for the maintenance of urban rail signaling equipment, characterized in that, For implementing the supervision method as described in any one of claims 1-14, the supervision device includes: a supervision and control analysis service module, a production data interface module, a monitoring data interface module, a database, a rule configuration service module, and a supervision and control rule configuration module; The supervision and control analysis service module is connected to the database, the production data interface module, and the monitoring data interface module respectively. It loads the main model of urban rail signaling equipment, the perception data model, and the supervision rule model from the database, receives maintenance instruction data through the production data interface module, and obtains monitoring data of urban rail signaling equipment through the monitoring data interface module. It executes the supervision process and stores supervision process data and supervision result data into the database. The production data interface module is also connected to an external production planning management system, which receives maintenance instruction data from the production planning management system, performs conversion processing, and then transmits it to the monitoring and control analysis service module. The monitoring data interface module is also connected to an external urban rail signal equipment maintenance support system. It receives and converts the monitoring data of the urban rail signal equipment from the maintenance support system and then transmits it to the supervision and control analysis service module. The monitoring data of the urban rail signal equipment includes the alarm data and sensing data of the urban rail signal equipment. The database is responsible for the persistent storage of various model data, supervision process data, and supervision result data; The rule configuration service module is connected to the supervision and control rule configuration module and the database, respectively. It is responsible for providing the background management of the configuration of supervision rules and storing the supervision rules in the database. The monitoring and control rule configuration module provides a visual configuration function for monitoring rules.
16. The monitoring device for the maintenance of urban rail signaling equipment as described in claim 15, characterized in that, It also includes a comprehensive display module for supervision and control, which is connected to the supervision and control analysis service module. It obtains supervision result data from the supervision and control analysis service module and is responsible for summarizing and displaying the maintenance supervision results of urban rail signal equipment and other types of supervision results.
17. An electronic device, characterized in that, It includes a processor and a memory, wherein the memory stores a computer program, which, when executed by the processor, implements the supervision method as described in any one of claims 1-14.
18. A computer-readable storage medium having a computer program stored thereon, characterized in that, When the computer program is executed by a processor, it implements the supervision method as described in any one of claims 1-14.