Railway emergency power supply cooperative control method and system based on signal linkage

Abstract

The invention provides a railway emergency power supply cooperative control method and system based on signal linkage, and relates to the field of railway electric braking systems.The method comprises the steps that 1, electrical parameters and power supply state data of station connection cables between adjacent stations are obtained on the basis of optoelectronic isolation signal acquisition units distributed in station machine rooms along a railway, the data are transmitted to the monitoring host in real time through the main-standby dual-path transmission architecture; and step 2, the monitoring host performs dynamic topological relation analysis based on the transmitted data in combination with a preset fault feature library, generates a space structure framework representing a fault influence range, and judges a fault category in combination with a station connection circuit control rule to generate a fault judgment result. Signal linkage and cooperative operation between railway emergency power supplies are achieved, power supply reliability and emergency response speed are improved, and stable operation of a railway system is guaranteed.

Description

Technical Field

[0001] The present invention relates to the field of railway electric brake systems, and in particular to a railway emergency power supply coordinated control method and system based on signal linkage. Background Art

[0002] In railway electric braking systems, traditional emergency power supply control technology has limitations in signal linkage and coordinated power management, posing severe challenges to braking safety and the operation of critical equipment. For example, consider the case of a power outage on a busy trunk line caused by a sudden rainstorm. When traditional technology relies on a pre-set static power supply scheme, if a high-speed train loaded with passengers is delayed and needs to make a temporary stop at a station near the outage, the system lacks a real-time signal linkage mechanism with the braking system, preventing it from quickly detecting the dynamic power demand changes of key equipment such as the delayed train's brake control unit, anti-skid device, and emergency brake response module. These devices still require continuous power during the temporary stop to maintain functions such as brake status monitoring and anti-skid pre-control. However, the emergency power supply continues to power fixed areas (such as lighting and air conditioning) as planned. This insufficient power supply can cause functional delays or failures in key braking system equipment, directly threatening braking safety during the temporary stop.

[0003] Furthermore, under traditional control technology, each emergency power supply operates relatively independently. If the emergency power supply at two adjacent stations is depleted rapidly due to excessive pre-load conditions, while the other is operating at low load due to a failure to adjust its power supply range in a timely manner, the lack of effective coordinated control means makes it impossible to dynamically allocate the emergency power supply to both stations. This could cause the emergency power supply at the station with the fastest power consumption to run out prematurely, endangering the safe operation of critical equipment and increasing the risk of railway transportation disruptions. Summary of the Invention

[0004] The technical problem to be solved by the present invention is to provide a railway emergency power supply collaborative control method and system based on signal linkage, which realizes dynamic collaborative control of various emergency power supplies through real-time signal linkage, improves power supply reliability and resource utilization efficiency, and ensures safe and stable operation of the railway system.

[0005] In order to solve the above technical problems, the technical solutions of the present invention are as follows: In a first aspect, a railway emergency power supply collaborative control method based on signal linkage comprises: Step 1: Using the distributed optoelectronic isolation signal acquisition units deployed in the machinery rooms of each station along the railway, the electrical parameters and power status data of the station-link cables between adjacent stations are acquired and transmitted to the monitoring host in real time via a primary-backup dual-channel transmission architecture. Step 2: The monitoring host performs dynamic topological relationship analysis based on the transmitted data and a preset fault feature library to generate a spatial structure framework that represents the fault impact range. It then determines the fault type using the station-linked circuit control rules to generate a fault determination result. Step 3: Based on the spatial structure framework, three key fault conduction nodes are dynamically determined as detection reference points, a polygonal boundary analysis area is constructed, and adaptive meshing is performed on the polygonal boundary analysis area to form a non-uniform unit set that matches the electrical topology correlation strength; Step 4: Based on the heterogeneous unit set, the unit control correlation parameters are generated in combination with the physical distance and electrical coupling degree between each unit and the fault source; Step 5: Combine the unit control related parameters with the fault judgment results, dynamically calibrate the emergency power supply startup plan, and generate a coordinated operation instruction to the target site; In step 6, the collaborative operation instruction is converted into a dynamic excitation signal through the safety protocol conversion unit, driving the target relay to perform the regional linkage emergency power switching operation, and sending the operation verification data back to the monitoring host in real time.

[0006] Furthermore, the monitoring host performs dynamic topological relationship analysis based on the transmitted data and a preset fault feature library to generate a spatial structure framework that represents the scope of the fault impact. It then determines the fault category in conjunction with the station-linked circuit control rules to generate a fault determination result, including: Extract features from the received station-link cable electrical parameters and power status data, including voltage mutation rate, abnormal current fluctuation frequency, and power communication interruption duration; Match the extracted features with typical fault modes in the preset fault feature library, including short circuit, disconnection, and equipment aging, to determine the main fault type and secondary related types to obtain matching results; Based on the matching results and the topological connection relationship of the railway signal station circuit, the electrical connection status between each station is dynamically updated to generate a spatial structure framework including the fault source location, transmission direction and the affected station set; Based on the main and standby power supply switching execution rules and equipment power supply path planning strategy in the station-link circuit control rules, the affected site sets in the spatial structure framework are classified and labeled to generate fault judgment results including fault type, impact range and key equipment.

[0007] Furthermore, based on the spatial structure framework, three key fault conduction nodes are dynamically determined as detection reference points. A polygonal boundary analysis area is constructed and adaptive meshing is performed on the polygonal boundary analysis area to form a non-uniform unit set that matches the electrical topology correlation strength, including: From the affected site set of the spatial structure framework, three sites with an extreme electrical coupling degree with the fault source and located on the critical path in the site-link circuit topology are identified as key fault transmission nodes, including the upstream site, downstream site, and cable bifurcation point site closest to the fault source. A polygonal boundary analysis area covering the potential fault diffusion area is constructed with the three identified key fault transmission nodes as vertices. According to the electrical equipment density parameters of each sub-area within the polygonal boundary analysis area and the electrical coupling degree parameters with key nodes, the grid division density is dynamically set. The electrical equipment dense sub-area and the sub-area with strong electrical coupling degree are divided into fine-grained grid units; the electrical equipment sparse sub-area and the sub-area with weak electrical coupling degree are divided into coarse-grained grid units. The polygonal boundary analysis area is divided based on the dynamically adjusted grid density to form a non-uniform unit set consisting of grid cells of different sizes, and each grid cell corresponds to the electrical topology correlation strength.

[0008] Furthermore, based on the heterogeneous unit set, combined with the physical distance and electrical coupling degree between each unit and the fault source, unit control related parameters are generated, including: For each unit in the non-uniform unit set, the physical distance parameter and the electrical coupling degree parameter between the unit and the fault source are calculated to obtain the original parameter pair of each unit; Based on the original parameter pair of each unit, the physical distance parameter is converted into a physical distance normalized weight value, and the electrical coupling degree parameter is converted into an electrical coupling degree normalized weight value through a preset mapping relationship, thereby obtaining two normalized weight values ​​for each unit; Based on the two normalized weight values ​​of each unit, a control-related parameter set of the unit is calculated and generated, including a response timing parameter, a control delay threshold parameter, and a power adjustment parameter.

[0009] Furthermore, for each unit in the non-uniform unit set, the physical distance parameter and the electrical coupling degree parameter between the unit and the fault source are calculated to obtain the original parameter pair of each unit, including: Obtain the geographical coordinates of the fault source and extract the geographical center coordinates of the area covered by the unit to be calculated in the non-uniform unit set; Based on the coordinates of the fault source location and the unit center point location, the geographic Euclidean distance between the two is calculated to generate a physical distance parameter representing the physical distance characteristics of the unit; Based on pre-stored railway station circuit topology data, the connection path between the fault source and the associated electrical equipment within the unit to be calculated is analyzed, and the key path attributes of the path are extracted, including the number of nodes connected in series on the path, the total line impedance value of the path, and the signal transmission direction on the path; Based on the path attributes, an electrical coupling degree parameter representing the electrical connection degree between the unit and the fault source is generated; The physical distance parameter and the step electrical coupling degree parameter are combined into a pair of parameters, that is, the original parameter pair corresponding to each unit.

[0010] Furthermore, the unit control related parameters are combined with the fault judgment results to dynamically calibrate the emergency power supply startup plan and generate coordinated operation instructions to the target site, including: Based on the impact scope and key equipment information in the fault determination results, determine the target site set that needs to activate the emergency power supply; Mapping the target site set to the non-uniform unit set, and obtaining the unit control association parameter set corresponding to each target site; Based on the fault type characteristics in the fault determination results, the unit control parameter sets corresponding to each target site are dynamically calibrated and adjusted. For fault types that require rapid isolation, the startup sequence is adjusted based on parameters with strong response timeliness and low control delay thresholds. For fault types that require supplementary power supply, power distribution is adjusted based on parameters with large power adjustment coefficients, resulting in the dynamic calibration and adjustment results. Based on the result of the dynamic calibration adjustment, a coordinated operation instruction including a startup time requirement and a power switching mode is generated for each target site, and the coordinated operation instruction is sent to the corresponding target site.

[0011] Furthermore, the safety protocol conversion unit converts the collaborative operation instructions into dynamic excitation signals, drives the target relay to perform the regional linkage emergency power supply switching operation, and transmits the operation verification data back to the monitoring host in real time, including: Receive collaborative operation instructions, including target site identification, startup time requirements, and power switching methods; Through the security protocol conversion unit, according to the preset communication security encryption algorithm and relay drive signal specifications, the collaborative operation instruction is converted into a dynamic excitation signal adapted to the target relay control interface; Send dynamic excitation signals to the relay control units of the corresponding target sites, driving the target relays to perform emergency power switching operations according to the time and method required by the instructions, thus achieving regional coordinated power control. After the target relay performs the switching operation, the actual action status signal of the relay, the output parameters of the emergency power supply and the electrical status of the associated circuits are collected in real time to generate operation verification data; Through the active-standby dual-channel transmission architecture, operation verification data is transmitted back to the monitoring host in real time for execution effect comparison and status update.

[0012] Secondly, the railway emergency power supply collaborative control system based on signal linkage includes: The signal acquisition module is used to obtain the electrical parameters and power status data of the station-link cables between adjacent stations based on the distributed optoelectronic isolation signal acquisition units deployed in the machinery rooms of each station along the railway, and transmit the data to the monitoring host in real time through the active-standby dual-channel transmission architecture; The fault analysis module is used by the monitoring host to perform dynamic topological relationship analysis based on the transmitted data and the preset fault feature library, generate a spatial structure framework that represents the scope of the fault impact, and determine the fault category in conjunction with the station-linked circuit control rules to generate a fault judgment result; The regional modeling module is used to dynamically determine three key fault conduction nodes as detection reference points based on the spatial structure framework, construct a polygonal boundary analysis area, and perform adaptive meshing on the polygonal boundary analysis area to form a non-uniform unit set that matches the electrical topology correlation strength; A parameter generation module is used to generate unit control related parameters based on a set of non-uniform units and in combination with the physical distance and electrical coupling degree between each unit and the fault source; The emergency decision-making module is used to combine unit control related parameters with fault judgment results, dynamically calibrate the emergency power startup plan, and generate coordinated operation instructions to the target site; The instruction execution module is used to convert the collaborative operation instructions into dynamic excitation signals through the safety protocol conversion unit, drive the target relay to perform the regional linkage emergency power switching operation, and transmit the operation verification data to the monitoring host in real time.

[0013] According to a third aspect, a computing device includes: one or more processors; The storage device is used to store one or more programs, and when the one or more programs are executed by the one or more processors, the one or more processors implement the method.

[0014] In a fourth aspect, a computer-readable storage medium stores a program, which implements the method when executed by a processor.

[0015] The above solution of the present invention includes at least the following beneficial effects: Real-time linkage between the signaling system and the emergency power supply enables accurate identification of abnormal signals such as sudden power outages and equipment failures during railway operations. Upon receiving an abnormal signal, the emergency power supply coordinated control mechanism is immediately activated, rapidly switching to the backup power source. This prevents power outages caused by primary power failures and effectively ensures continuous and stable power supply to railway signaling equipment, communication systems, and train control systems. Using signal linkage to trigger emergency power supply control commands significantly shortens emergency response time compared to the traditional method of manually activating the emergency power supply after faults are discovered during inspections. From the time the abnormal signal is triggered to the time the emergency power supply is activated, power is restored to critical equipment in the shortest possible time, saving valuable time for railway emergency response and reducing the probability of accidents. Multiple emergency power supplies can be coordinated and dispatched based on the power needs of different areas and equipment, as well as the priority of fault signals. This rationally allocates the output power of each emergency power supply to avoid overpowering some areas while underpowering others. This ensures full and rational utilization of emergency power resources, improves overall efficiency, and reduces operating costs.

[0016] By adopting standardized signal interfaces and communication protocols, it can seamlessly integrate with existing railway signaling systems, power supply systems, and other related equipment, ensuring excellent compatibility. At the same time, with the development of railway technology and the upgrading of equipment, the coordinated control function of the emergency power supply can be easily expanded and upgraded to meet the needs of the future intelligent and information-based development of railway systems. A continuous and stable power supply provides a solid guarantee for the normal operation of railway signaling equipment, ensuring accurate signal display, smooth communication, and reliable operation of the train operation control system. It effectively avoids safety accidents such as train misjudgment and rear-end collisions caused by power supply problems, improves the safety and stability of railway transportation, and safeguards the safety of passengers' lives and property and the efficient operation of railways. Through coordinated control of railway emergency power supplies through signal linkage, the operating status and working parameters of the emergency power supply can be monitored in real time. BRIEF DESCRIPTION OF THE DRAWINGS

[0017] Figure 1 It is a flow chart of a railway emergency power supply collaborative control method based on signal linkage provided by an embodiment of the present invention.

[0018] Figure 2 It is a schematic diagram of a railway emergency power supply collaborative control system based on signal linkage provided by an embodiment of the present invention. DETAILED DESCRIPTION

[0019] Exemplary embodiments of the present disclosure will be described in more detail below with reference to the accompanying drawings. Although exemplary embodiments of the present disclosure are shown in the accompanying drawings, it should be understood that the present disclosure can be implemented in various forms and should not be limited by the embodiments set forth herein. Rather, these embodiments are provided to enable a more thorough understanding of the present disclosure and to fully convey the scope of the present disclosure to those skilled in the art.

[0020] like Figure 1 As shown, an embodiment of the present invention proposes a railway emergency power supply coordinated control method based on signal linkage, the method comprising the following steps: Step 1: Using the distributed optoelectronic isolation signal acquisition units deployed in the machinery rooms of each station along the railway, the electrical parameters and power status data of the station-link cables between adjacent stations are acquired and transmitted to the monitoring host in real time via a primary-backup dual-channel transmission architecture. Step 2: The monitoring host performs dynamic topological relationship analysis based on the transmitted data and a preset fault feature library to generate a spatial structure framework that represents the fault impact range. It then determines the fault type using the station-linked circuit control rules to generate a fault determination result. Step 3: Based on the spatial structure framework, three key fault conduction nodes are dynamically determined as detection reference points, a polygonal boundary analysis area is constructed, and adaptive meshing is performed on the polygonal boundary analysis area to form a non-uniform unit set that matches the electrical topology correlation strength; Step 4: Based on the heterogeneous unit set, the unit control correlation parameters are generated in combination with the physical distance and electrical coupling degree between each unit and the fault source; Step 5: Combine the unit control related parameters with the fault judgment results, dynamically calibrate the emergency power supply startup plan, and generate a coordinated operation instruction to the target site; In step 6, the collaborative operation instruction is converted into a dynamic excitation signal through the safety protocol conversion unit, driving the target relay to perform the regional linkage emergency power switching operation, and sending the operation verification data back to the monitoring host in real time.

[0021] In this embodiment of the present invention, distributed optoelectronically isolated signal acquisition units enable real-time, accurate acquisition of station-link cable electrical parameters and power supply status data at key nodes along the railway, preventing data acquisition failures caused by single-point failures. A dual-path transmission architecture ensures flawless data transmission. Even if one path fails, the other path remains operational, improving data transmission reliability and stability and preventing misjudgments due to missing or erroneous data. The monitoring host performs dynamic topological relationship analysis based on a pre-set fault signature database, enabling rapid and accurate determination of the fault's impact. The resulting spatial structure framework visually presents the fault's affected area. Fault classification is determined using station-link circuit control rules, effectively avoiding the limitations of a single analysis approach and improving the accuracy and comprehensiveness of fault determination. This allows personnel to immediately understand the specific fault situation, enabling them to formulate targeted emergency measures, shortening fault resolution time and minimizing the impact of the fault on railway operations. Dynamically identifying three key fault transmission nodes as detection reference points and constructing a polygonal boundary analysis zone allows for precise focus on the core fault area, avoiding indiscriminate troubleshooting across the entire system and significantly improving troubleshooting efficiency. Adaptive meshing is performed on the polygonal boundary analysis area to form a non-uniform unit set that matches the electrical topology correlation strength. This allows for a more detailed analysis of key areas based on the actual electrical topology and fault conduction characteristics, ensuring analysis accuracy while improving resource utilization efficiency, making fault analysis more targeted and efficient.

[0022] Based on a heterogeneous set of cells, unit control association parameters are generated by comprehensively considering each cell's physical distance from the fault source and the degree of electrical coupling, fully accounting for the actual conditions of different cells under the influence of the fault. This allows for more tailored emergency power supply control plans, enabling the rational allocation of emergency power resources based on the importance and impact of each cell, ensuring that critical areas and equipment receive priority power support, and improving the rationality and effectiveness of emergency power use. Unit control association parameters are combined with fault determination results to dynamically calibrate the emergency power supply activation plan, enabling precise adjustments based on the actual fault situation and regional needs. The generated coordinated operation instructions are targeted to the target site, ensuring more accurate and targeted coordinated emergency power supply control, avoiding the waste of resources caused by blindly activating emergency power supplies, and ensuring that emergency power is used to its full potential where it is most needed, thereby improving the overall effectiveness of the emergency response. The safety protocol conversion unit converts the coordinated operation instructions into dynamic activation signals, driving the target relays to execute the regionally coordinated emergency power supply switching operation, ensuring accurate and flawless execution and achieving fast and reliable emergency power switching. Real-time feedback of operation verification data to the monitoring host enables staff to promptly understand the execution status of the emergency power supply switching operation. If any problems arise, remedial measures can be taken quickly to form a closed-loop management, further ensuring the safety and effectiveness of the emergency power supply switching operation and improving the overall reliability of the coordinated control of the railway emergency power supply.

[0023] In a preferred embodiment of the present invention, step 1, based on the distributed photoelectric isolation signal acquisition units deployed in the machinery rooms of each station along the railway, obtains the electrical parameters and power status data of the station-link cables between adjacent stations and transmits them to the monitoring host in real time via a primary-backup dual-channel transmission architecture, which may include: In an embodiment of the present invention, in the machinery room of each station along the railway, a photoelectric isolation signal acquisition unit is precisely deployed based on the distribution of station-connected cables and the layout of power supply equipment. The acquisition unit is installed in accordance with electrical safety regulations and is securely mounted on the equipment rack in the machinery room using a dedicated fixing bracket to ensure a safe and reliable physical connection with the station-connected cables and power supply equipment. To collect the electrical parameters of station-connected cables between adjacent stations, the acquisition unit is electrically connected to the cable via a current transformer and a voltage transformer. The current transformer adopts a through-hole design and is placed on the outside of the cable. It senses the current in the cable in real time and converts it into a proportional weak current signal. The voltage transformer is connected to the phase and neutral wires of the cable via insulated terminals to convert the high-voltage signal into a safe low-voltage signal. These converted analog signals enter the analog-to-digital conversion module inside the acquisition unit and are converted into digital signals. At the same time, the acquisition unit uses a built-in high-precision resistance measurement circuit and a four-wire measurement method to accurately measure the resistance value of the cable, reducing measurement errors.

[0024] To collect power supply status data, the acquisition unit connects to the power supply's status output interface. For intelligent power supply devices with communication interfaces (such as RS485 or Modbus), the acquisition unit connects via dedicated communication cables and exchanges data according to the corresponding communication protocol, acquiring detailed status information such as the power supply's output voltage, current, operating mode, and fault alarms. For traditional power supply devices without communication interfaces, the acquisition unit connects to their dry contact signal output terminals to collect digital signals such as the power supply's on / off status and fault alarms.

[0025] In the data transmission link, the main line of the active-standby dual-channel transmission architecture adopts an industrial-grade fiber optic network, and a dedicated fiber optic line is laid between the mechanical room of each site and the monitoring host. The acquisition unit encapsulates the processed electrical parameters and power status data of the station-link cable in accordance with the data frame format, converts it into an optical signal through the optical fiber transceiver module, and transmits it to the monitoring host at high speed in the optical fiber line. The backup transmission channel adopts a wireless communication network, and the acquisition unit has a built-in wireless communication module. When it detects that the main optical fiber transmission has a signal interruption, low optical power, or other faults, it immediately triggers the switching mechanism, converts the data into a format recognizable by the wireless communication protocol, and sends it to the monitoring host through the operator's base station. At the same time, both the active-standby dual-channel transmission channels are equipped with a status monitoring module to monitor the signal strength, bit error rate and other indicators of the transmission link in real time. Once the main line fault is eliminated, the data transmission will be automatically switched back to the main line while ensuring the integrity of the data transmission, to ensure the efficiency and stability of data transmission.

[0026] In a preferred embodiment of the present invention, in step 2, the monitoring host performs a dynamic topological relationship analysis based on the transmitted data in combination with a preset fault feature library to generate a spatial structure framework representing the fault impact range, and determines the fault category in conjunction with the station-linked circuit control rules to generate a fault determination result, which may include: Step 220 , extracting features from the received station-connected cable electrical parameters and power status data, including voltage mutation rate, abnormal current fluctuation frequency, and power communication interruption duration; Step 221 , matching the extracted features with typical fault modes in a preset fault feature library, including short circuit, disconnection, and equipment aging, to determine the primary fault type and secondary associated types to obtain a matching result; Step 222: Based on the matching results and in combination with the topological connection relationship of the railway signal station circuit, the electrical connection status between each station is dynamically updated to generate a spatial structure framework including the fault source location, transmission direction, and the affected station set; Step 223: Based on the primary and backup power supply switching execution rules and the equipment power supply path planning strategy in the station-linked circuit control rules, the affected site set in the spatial structure framework is classified and labeled to generate a fault judgment result including the fault type, impact range, and key equipment.

[0027] In the embodiment of the present invention, after the monitoring host receives the voltage data of the station-link cable, the voltage values ​​of two adjacent sampling moments in the time series are recorded as and , the sampling interval is a fixed time , the voltage mutation rate is expressed by the formula For example, if the interval between two adjacent sampling moments is 0.1 seconds, the voltage at the previous moment is 220V, and the voltage at the current moment becomes 180V, then the voltage mutation rate is The calculation process can reflect the speed of voltage change in a short period of time in real time. Arrange the received station-linked cable current data in chronological order and set a current fluctuation normal range threshold, for example, the normal current range is , count the number of times the current value exceeds the normal range within a unit time (such as 1 minute) , this number of times This is the frequency of abnormal current fluctuations. For example, if the current value exceeds the normal range eight times within one minute, the frequency is 8 times / minute. By calculating this frequency, you can determine whether the current is stable or experiencing abnormal fluctuations.

[0028] The monitoring host continuously receives the communication signal of the power supply device. When the monitoring host does not receive the signal that the power supply device should send according to the normal communication cycle, the time is recorded as the start time of communication interruption; when at time When the normal communication signal of the power supply equipment is received again, the moment is recorded as the end time of the communication interruption. The power supply communication interruption duration is recorded by - For example, if the communication interruption started at 10:00:05 and ended at 10:00:15, the power communication interruption duration would be 10 seconds. This calculation can accurately determine the specific duration of the power communication interruption, which serves as an important indicator for determining power communication failures.

[0029] The features such as voltage mutation rate, abnormal current fluctuation frequency, and power communication interruption duration extracted in step 220 are compared with the feature ranges corresponding to typical fault modes such as short circuit, disconnection, and equipment aging in the preset fault feature library. For example, the voltage mutation rate range corresponding to the short circuit fault in the preset fault feature library is less than -300V / s, and the abnormal current fluctuation frequency is greater than 5 times / minute; when the calculated voltage mutation rate is -350V / s and the abnormal current fluctuation frequency is 7 times / minute, it can be preliminarily determined that the main type of fault is short circuit. If it is also found that the power communication interruption duration is 12 seconds, and there is a related feature description of unstable power communication in the equipment aging fault mode, then the secondary associated type can be determined to be equipment aging, thereby obtaining a matching result. In the comparison process, the fuzzy matching principle is adopted. When the data feature is close to the range in the preset fault feature library, it will also be taken into consideration to improve the accuracy of fault judgment.

[0030] Based on the matching results obtained in step 221, combined with the pre-established topological connection relationship of the railway signal station circuit. Taking a short circuit fault as an example, assuming that the matching results show that the fault occurs in the station cable between site A and site B, then in the topological connection relationship, the electrical connection status between site A and site B is marked as a fault state. At the same time, based on the circuit principle and fault conduction data, the possible conduction direction of the short circuit fault is analyzed, such as conduction from site A to site B, or bidirectional conduction. Then, the set of sites affected by the fault is determined, including site A, site B, and other sites that have direct electrical connections with sites A and B and may be affected by the fault. Finally, the information such as the fault source location (the cable between site A and site B), the conduction direction, and the set of affected sites is integrated to generate a spatial structure framework containing this key information, which intuitively presents the distribution of the fault in the railway signal station circuit.

[0031] Based on the primary-backup power supply switching execution rules and equipment power supply path planning strategies in the station-link circuit control rules, the affected site set in the spatial structure framework generated in step 222 is categorized and labeled. For example, for each site in the affected site set, the system determines which sites' critical equipment (such as signals and switch control equipment) must immediately switch to the backup power supply in the event of a primary power failure. These sites are labeled as high-priority affected sites. Sites containing non-critical equipment are labeled as low-priority affected sites. Furthermore, the system combines the fault type (such as short circuit, line break, or equipment aging) determined in step 221 with the impact scope (affected site set) determined in step 222 to integrate information such as the fault type, impact scope, and critical equipment to generate a complete fault determination result. For example, the fault determination result might read, "The fault type is short circuit, the impact scope includes sites A, B, and C, and the critical equipment is the signal at site A and the switch control equipment at site B."

[0032] By precisely calculating key characteristics such as voltage mutation rate, frequency of abnormal current fluctuations, and duration of power supply and communication interruptions, effective information reflecting device operating status can be accurately extracted from large amounts of data. Compared to simple threshold judgment, this quantitative calculation method can more meticulously capture data trends, reduce misjudgments caused by data fluctuations, and enable the monitoring host to accurately identify abnormalities during device operation. By matching against a pre-set fault signature database and incorporating fuzzy matching principles, this method not only quickly determines the primary fault type but also identifies possible secondary related types. This multi-dimensional matching approach fully accounts for the complexity of actual fault scenarios and avoids misjudgments caused by single-factor analysis. The electrical connection status is dynamically updated based on topological connectivity, generating a spatial structure framework that clearly displays the fault source location, transmission direction, and affected station set. Affected stations are categorized and labeled according to station-linked circuit control rules. The resulting fault determination results include fault type, impact range, and key information about critical equipment. This allows for prioritizing critical equipment failures based on fault severity and impact range, rationally planning primary and backup power supply switching and equipment power supply paths, and improving the efficiency and effectiveness of emergency response.

[0033] In a preferred embodiment of the present invention, step 3 above, dynamically determining three key fault conduction nodes as detection reference points based on the spatial structure framework, constructing a polygonal boundary analysis area, and performing adaptive meshing on the polygonal boundary analysis area to form a non-uniform unit set that matches the electrical topology correlation strength, may include: Step 330: From the set of affected sites in the spatial structure framework, three sites that have an extreme electrical coupling level with the fault source and are located on a critical path in the site-link circuit topology are identified as key fault transmission nodes, including the upstream site, downstream site, and cable bifurcation point site closest to the fault source. A polygonal boundary analysis area covering the potential fault propagation area is constructed with the three identified key fault transmission nodes as vertices. Step 331: Dynamically set the grid division density based on the electrical equipment density parameters of each sub-area within the polygonal boundary analysis area and the electrical coupling degree parameters with the key nodes. Fine-grained grid units are used to divide the sub-areas with dense electrical equipment and strong electrical coupling degree; coarse-grained grid units are used to divide the sub-areas with sparse electrical equipment and weak electrical coupling degree. Step 332 : Divide the polygonal boundary analysis area based on the dynamically adjusted grid density to form a non-uniform unit set consisting of grid units of different sizes, and each grid unit corresponds to an electrical topology correlation strength.

[0034] In an embodiment of the present invention, for each site in a set of affected sites within a spatial structure framework, the degree of electrical coupling between the site and the fault source is calculated. The degree of electrical coupling is assessed by analyzing the number of circuit connections between the site and the fault source, line impedance, and signal transmission loss. For example, the sum of the inverse impedances of all connecting lines between two sites is calculated, combined with the power loss ratio during signal transmission along these lines, to produce a composite value. A higher value indicates a stronger degree of electrical coupling. After selecting sites with extreme electrical coupling levels (maximum or minimum) from all sites, the Dijkstra algorithm is used to determine whether these sites are on a critical path. The Dijkstra algorithm sets a vertex set and a distance array. Starting from a starting vertex, it continuously selects vertices with the smallest distances and expands, updating the distances to adjacent vertices. Ultimately, the shortest path from the source to each vertex is found. This identifies the critical path in the circuit that is crucial for signal transmission or power supply. Disruption of this path can severely impact the operation of the entire system. Ultimately, the upstream site, downstream site, and cable bifurcation point closest to the fault source are identified as the three key fault transmission nodes.

[0035] Using the three identified key fault transmission nodes as vertices, a polygon is constructed using geometric methods. The distance and angle between each vertex are calculated using the triangle interior angle sum principle and the distance formula between two points to ensure that the polygon covers the potential fault spread area. Specifically, based on the coordinates of the three vertices, the side length is calculated using the distance formula between two points, and the interior angle is calculated using the cosine theorem to determine the shape and range of the polygon. The polygon boundary analysis area is divided into several sub-areas. For each sub-area, the number of electrical equipment contained in it is counted. , and calculate the area of ​​the subregion (obtained through geographic information system or geometric calculation method). Electrical equipment density parameters are obtained through the formula Calculations show that this parameter reflects the density of electrical equipment within a sub-area. For each sub-area, the electrical connection relationship between it and the three key fault conduction nodes is analyzed. Similarly, by calculating factors such as the impedance of the connecting lines and signal transmission loss, the electrical coupling degree between the sub-area and each key node is calculated. The maximum of these values ​​is then taken as the electrical coupling degree parameter for that sub-area and key node.

[0036] Set two thresholds: electrical equipment density threshold and electrical coupling threshold When the electrical equipment density parameter of the sub-area Greater than , and the electrical coupling degree parameters with key nodes Greater than When the electrical equipment density parameter of the sub-region is Less than , and the electrical coupling degree parameters with key nodes Less than When the sub-region is judged to be a sub-region with sparse electrical equipment and weak electrical coupling, the coarse-grained grid units are divided; for other cases, a transition division is made between fine-grained and coarse-grained according to the specific parameter values. Based on the grid density dynamically adjusted in step 331, the polygon boundary analysis area is divided. Starting from the boundary of the polygon, the grid units are gradually filled inward according to the set grid density. In the division process, it is ensured that the adjacent grid units are seamlessly connected, and the size and shape of each grid unit are adjusted according to the electrical equipment density and electrical coupling degree of the sub-region in which it is located. After the division is completed, each grid unit is assigned a corresponding electrical topology association strength. The strength value is determined by the previously calculated electrical equipment density parameter and the electrical coupling degree parameter with the key node, thereby forming a non-uniform unit set composed of grid units of different sizes.

[0037] By comprehensively considering the degree of electrical coupling and introducing the critical circuit topology paths determined by the Dijkstra algorithm, three key fault transmission nodes are precisely identified. These nodes are then used to construct a polygonal boundary analysis zone, effectively focusing on the core fault impact area and potential propagation paths. This avoids a comprehensive investigation of the entire railway signaling system, narrows the scope of fault investigation, and improves the accuracy and efficiency of fault location. The grid density is dynamically adjusted based on electrical equipment density and electrical coupling. Fine-grained grid cells are used in key sub-areas with dense electrical equipment and strong electrical coupling, ensuring detailed analysis of these areas and eliminating any potential fault points. Coarse-grained grid cells are used in areas with sparse electrical equipment and weak electrical coupling, avoiding excessive analysis and resource waste. This adaptive gridding approach ensures both accurate and efficient fault analysis, achieving optimal resource allocation. The resulting heterogeneous cell set has each cell corresponding to a specific electrical topology correlation strength.

[0038] In a preferred embodiment of the present invention, the above step 4, based on the non-uniform unit set and in combination with the physical distance and electrical coupling degree between each unit and the fault source, generates unit control associated parameters, which may include: Step 440 calculates, for each unit in the heterogeneous unit set, a physical distance parameter and an electrical coupling parameter between the unit and the fault source, thereby obtaining an original parameter pair for each unit. Specifically, the steps include: obtaining the geographic coordinates of the fault source and extracting the geographic center coordinates of the area covered by the unit to be calculated in the heterogeneous unit set; calculating the geographic Euclidean distance between the fault source coordinates and the unit center coordinates, thereby generating a physical distance parameter representing the physical distance characteristics of the unit; analyzing the connection path between the fault source and the associated electrical equipment within the unit to be calculated based on pre-stored railway station circuit topology data, and extracting key path attributes of the path, including the number of nodes connected in series on the path, the total line impedance value of the path, and the signal transmission direction on the path; generating an electrical coupling parameter representing the degree of electrical connection between the unit and the fault source based on the path attributes; and combining the physical distance parameter and the electrical coupling parameter into a pair of parameters, i.e., the original parameter pair corresponding to each unit. Step 441 , based on the original parameter pair of each unit, convert the physical distance parameter into a normalized physical distance weight value and convert the electrical coupling degree parameter into a normalized electrical coupling degree weight value through a preset mapping relationship, thereby obtaining two normalized weight values ​​for each unit; Step 442 : Based on the two normalized weight values ​​of each unit, a control-related parameter set of the generation unit is calculated, including a response timing parameter, a control delay threshold parameter, and a power adjustment parameter.

[0039] In this embodiment of the present invention, for each unit in the non-uniform unit set, its coordinate information in the geographic space along the railway line is obtained. The coordinates of the fault source are also determined. The straight-line distance between the unit and the fault source is calculated using the distance formula between two points in a plane rectangular coordinate system. If the terrain along the railway line is complex, it is also necessary to combine the actual railway line direction and accumulate the lengths of each line segment along the railway line between the unit and the fault source to obtain a more accurate physical distance parameter. For example, if the railway line is a broken line that passes through multiple stations in sequence, the lengths of the line segments from the unit to each station and the lengths of the line segments between stations need to be added together to obtain the final physical distance.

[0040] Analyze the electrical connection relationship between each unit and the fault source, count the number of connection lines, the impedance value of the lines, and the signal transmission loss on these lines. By calculating the sum of the reciprocals of the total impedance of the connection lines and combining it with the signal transmission loss ratio, a value that comprehensively reflects the degree of electrical coupling is obtained. For example, if there are three connection lines between the unit and the fault source, their impedances are 、 、 , then the sum of the reciprocals of the total impedance is , and then multiply it by the coefficient after considering the transmission loss to obtain the electrical coupling degree parameter. The larger the value, the stronger the electrical coupling degree between the unit and the fault source. The calculated physical distance parameter and electrical coupling degree parameter are combined into the original parameter pair of each unit. ,in Represents the physical distance parameter, Parameter indicating the degree of electrical coupling.

[0041] Determine the maximum value of the physical distance parameter of all cells in a non-uniform cell set and minimum value For each unit's physical distance parameter , using the normalization formula Perform calculations and convert the physical distance parameter to the interval [0, 1] to obtain the normalized weight value of the physical distance The weight value reflects the relative position of the unit's physical distance among all units. The larger the value, the farther the unit is from the fault source and the lower its priority in emergency handling. Find the maximum value of the electrical coupling degree parameter of all units in the non-uniform unit set and minimum value For each unit, the electrical coupling degree parameter , through the formula Perform normalization processing to obtain the normalized weight value of the electrical coupling degree This weight value is also in the range of [0, 1]. The larger the value, the stronger the electrical coupling between the unit and the fault source, and the higher the priority in emergency treatment. In this way, each unit gets two normalized weight values ​​( , ).

[0042] According to the two normalized weight values ​​of each unit, different weight coefficients are set and ( + =1, and 、 Determined based on actual needs and experience, such as =0.4, =0.6, indicating that more emphasis is placed on the degree of electrical coupling). Response timing parameters By formula Calculated. The larger the value, the later the unit is in the emergency response sequence; The smaller the value, the more emergency operation is performed, thereby determining the response timing of each unit. Establish a mapping relationship between the control delay threshold parameter and the normalized weight value, and set the basic delay threshold , and then normalize the weight value according to the physical distance and electrical coupling degree normalized weight value For example, to control the delay threshold parameter ,in and is the adjustment coefficient (determined based on the actual system characteristics). In this way, the control delay threshold is relatively large for units that are far from the fault source and have weak electrical coupling, and smaller for units that are far from the fault source, to meet the emergency control needs of different units.

[0043] Normalize the weight value according to the degree of electrical coupling between the unit and the fault source , and the total power resources of the system , calculate the power adjustment parameters . Set the power distribution coefficient (determined according to actual needs), power adjustment parameters The stronger the electrical coupling degree of the unit, the larger the power adjustment parameter is, and the more power support can be obtained during emergency power distribution to ensure the normal operation of key area equipment. Finally, each unit obtains the response timing parameters , control delay threshold parameters and power adjustment parameters The control-related parameter set ( , , ).

[0044] By precisely calculating the physical distance and electrical coupling between each unit and the fault source, and performing normalization and parameter calculation, a comprehensive and quantified set of control-related parameters is generated for each unit. These parameters accurately reflect the actual conditions of each unit under fault scenarios, allowing emergency decision-makers to scientifically and rationally determine the response sequence, control delay, and power allocation for each unit based on these parameters, thus avoiding blind emergency handling and achieving precise and efficient emergency response. Based on the power adjustment parameters in the control-related parameter set, limited emergency power resources can be rationally allocated to critical areas and equipment based on the degree of electrical coupling between the unit and the fault source. Units with strong electrical coupling are prioritized for more power to ensure normal operation and prevent the spread of the fault. Units with weak electrical coupling are rationally allocated less power to avoid resource waste, thus optimizing the allocation of emergency power resources and improving resource utilization efficiency. The determination of response timing parameters and control delay threshold parameters ensures that emergency operations are carried out in a scientific order and at specific times, avoiding confusion and conflicts among units. Units that are close to the fault source and have strong electrical coupling respond first, enabling rapid fault isolation and restoration of power supply to critical equipment. Reasonable control delay settings ensure coordination between operations and reduce the risk of misoperation.

[0045] In a preferred embodiment of the present invention, the above step 5, combining the unit control related parameters with the fault determination result, dynamically calibrating the emergency power supply startup plan, and generating a coordinated operation instruction to the target site, may include: Step 550: Determine a target site set for activating emergency power supply based on the impact range and key equipment information in the fault determination result; Step 551 , mapping the target site set to the non-uniform unit set, and obtaining the unit control associated parameter set corresponding to each target site; Step 552: Based on the fault type characteristics in the fault determination result, the unit control parameter set corresponding to each target site is dynamically calibrated and adjusted. For fault types that require rapid isolation, the startup sequence is adjusted based on parameters with strong response timeliness and low control delay thresholds. For fault types that require supplemental power supply, the power distribution is adjusted based on parameters with large power adjustment coefficients, thereby obtaining a result after dynamic calibration and adjustment. Step 553 : Based on the result of the dynamic calibration adjustment, a coordinated operation instruction including a startup time requirement and a power switching mode is generated for each target site, and the coordinated operation instruction is sent to the corresponding target site.

[0046] In an embodiment of the present invention, the fault determination result includes an impact range presented in the form of a spatial structure framework, which clearly marks the set of sites affected by the fault. The site names or number information in the impact range are read one by one. For example, if the impact range shows that the fault affects four sites A, B, C, and D, the information of these four sites is extracted. The fault determination result also includes key equipment information, such as the signal at site A, the switch control equipment at site B, etc. For each key equipment, determine the site where it is located. Integrate the sites containing the key equipment with the sites extracted from the impact range, remove duplicate sites, and finally determine the target site set where the emergency power supply needs to be started. If site A is both within the impact range and contains a key equipment signal, site A is only retained once during integration to avoid duplicate processing.

[0047] Each unit in the non-uniform unit set corresponds to an area along the railway, and each target station is also located at a specific location along the railway. By matching geographic coordinates, the coordinates of the target station are compared with the coordinate range of each unit in the non-uniform unit set. When the coordinates of the target station meet the range, a mapping relationship between the target station and the unit is established. Based on the established mapping relationship, the corresponding unit is found for each target station. Each unit has pre-calculated parameters including response timing. , control delay threshold parameters and power adjustment parameters The control-related parameter set ( , , ). The control association parameter set of the corresponding unit is extracted as the initial control association parameter set of the target site.

[0048] The fault type is clearly marked in the fault determination results, such as short circuit, disconnection, equipment aging, etc. Different fault types have different characteristics. For example, a short circuit fault requires rapid isolation to prevent the fault from expanding, and a disconnection fault may require additional power supply to the relevant area. For fault types such as short circuit, a response timeliness adjustment coefficient is set. and control delay threshold adjustment coefficient ( >1, <1, the specific value is determined based on actual experience and system characteristics). Response timing parameters corresponding to the target site Adjust the response timing parameters after adjustment , making its value smaller, thereby increasing the priority of the site in emergency response; controlling the delay threshold parameter Adjust the control delay threshold parameters after adjustment , reduce the delay threshold and ensure that emergency operations can be executed quickly. For fault types such as line break, set the power adjustment coefficient adjustment factor ( >1). Adjust the power parameters corresponding to the target site Adjust the power adjustment parameters after adjustment = , increase the weight of the site in the emergency power supply allocation so that it can obtain more power support. Through the above method, the unit control associated parameter set corresponding to each target site is dynamically calibrated and adjusted to obtain the final adjustment result.

[0049] Response timing parameters adjusted according to dynamic calibration and control delay threshold parameters , combined with the overall emergency response time planning of the system, determine the startup time requirements for each target site. According to the fault type and the adjusted power adjustment parameters , determine the power switching method. For target sites with high power requirements, use a fast and seamless switching method between the primary and backup power supplies to ensure uninterrupted power supply; for sites with low power requirements, use a conventional power switching method. Combine the startup time requirement and the power switching method into a coordinated operation instruction, for example, the instruction format is "Target site: A, startup time: , switching mode: fast and seamless switching. The generated collaborative operation instructions are sent to the corresponding target site through the railway dedicated communication network. The communication network uses a reliable transmission protocol to encrypt and verify the instructions to ensure that the instructions are delivered to the target site accurately.

[0050] By precisely identifying a set of target sites, the emergency power supply activation plan is dynamically calibrated based on unit control parameters and fault type characteristics, generating customized coordinated operation instructions for each target site. This ensures that emergency power is activated precisely at the required sites, at the appropriate time and in the appropriate manner, avoiding blind and arbitrary emergency operations. Power allocation parameters are dynamically adjusted based on fault type and actual needs of each site, ensuring that emergency power resources are appropriately allocated to critical sites and equipment. Prioritize the timely emergency operation of sites requiring rapid fault isolation, while providing sufficient power support for sites requiring supplemental power. By calibrating response timing parameters and control delay threshold parameters, the sequence and timing of emergency power activation at each target site are clearly defined, avoiding operational conflicts and resource contention that might arise from simultaneous activation of emergency power at multiple sites. Furthermore, a unified coordinated operation instruction format and reliable communication transmission ensure that emergency operations are executed consistently across all sites, enhancing the coordination and orderliness of the entire emergency response process and improving the overall effectiveness of railway emergency response.

[0051] In a preferred embodiment of the present invention, the above step 6, converting the coordinated operation instruction into a dynamic excitation signal by the safety protocol conversion unit, driving the target relay to perform the regional linkage emergency power supply switching operation, and returning the operation verification data to the monitoring host in real time, may include: Step 660: Receive a collaborative operation instruction, including a target site identifier, a startup time requirement, and a power switching method; Step 661: The security protocol conversion unit converts the collaborative operation instruction into a dynamic excitation signal adapted to the target relay control interface according to a preset communication security encryption algorithm and relay drive signal specification. Step 662: Send the dynamic excitation signal to the relay control unit of the corresponding target site, driving the target relay to perform the emergency power supply switching operation according to the time and method required by the command, thereby realizing regional coordinated power supply control; Step 663: After the target relay performs the switching operation, the actual operation status signal of the relay, the output parameters of the emergency power supply, and the electrical status of the associated circuit are collected in real time to generate operation verification data; In step 664, the operation verification data is transmitted back to the monitoring host in real time through the active / standby dual-path transmission architecture for execution effect comparison and status update.

[0052] In this embodiment of the present invention, the security protocol conversion unit receives collaborative operation instructions via a railway-specific communication network. The instructions are transmitted in the form of data packets, consisting of a header, instruction content, and a checksum. The integrity and legitimacy of the data packet are first verified by calculating the checksum (e.g., CRC) of the received data packet and comparing it with the checksum carried in the data packet. If the two match, the data packet is confirmed to be complete. Key information is then extracted from the instruction content, including the target site identifier (e.g., site number or name), the startup time requirement (with millisecond-accurate timestamps), and the power switching method (e.g., fast seamless switching, conventional switching, etc.).

[0053] The collaborative operation instructions are encrypted using a preset communication security encryption algorithm (such as AES-256). A random encryption key is first generated, and information such as the target site identifier, startup time requirements, and power switching method are combined into a plaintext data block. The encryption key is then used to encrypt the plaintext data block to generate ciphertext data. To ensure data transmission integrity, a hash value (such as a SHA-256 hash) is calculated for the ciphertext data and appended to the ciphertext data to form the encrypted instruction data. Based on the relay drive signal specification, the encrypted instruction data is converted into a dynamic excitation signal adapted to the target relay control interface. Different types of relay control interfaces have different requirements for signal formats. For example, digital input interfaces require signals in TTL level format, while analog input interfaces require signals in 4-20mA current loop format. For digital interfaces, the encrypted command data is converted into corresponding high and low level sequences, with each bit corresponding to a level state. For analog interfaces, the command data is mapped to the current range of 4-20mA. For example, the minimum value of the data is mapped to 4mA and the maximum value is mapped to 20mA. The intermediate values ​​are converted in a linear ratio to generate a dynamic excitation signal.

[0054] The generated dynamic excitation signal is transmitted via a dedicated control line to the relay control unit at the corresponding target site. During this transmission process, a time synchronization mechanism is employed to ensure that the relay executes the switching operation according to the specified timing. The signal is timestamped, based on the system clock. Upon receiving the signal, the relay control unit performs time calibration based on the synchronization deviation between its own clock and the system clock, ensuring that the excitation signal is executed at the precise start time. Upon receiving the dynamic excitation signal, the relay control unit executes the corresponding control logic based on the power switching mode information contained in the signal. For fast and seamless switching, the control unit first closes the relay on the backup power source and, after confirming that the backup power source is functioning properly, disconnects the relay on the primary power source to ensure uninterrupted power supply. For conventional switching, the relay on the primary power source is disconnected first, followed by a short delay before closing the relay on the backup power source. By precisely controlling the relay timing, coordinated power supply control within the region is achieved.

[0055] After the target relay performs a switching operation, the actual relay operation status signal is collected in real time. The relay's successful operation is determined by the on / off state of the relay's auxiliary contacts. For example, when the relay is closed, its auxiliary contacts change from normally open to normally closed. By detecting the change in the auxiliary contact state, a corresponding status signal (e.g., 1 for closed, 0 for open) is generated. Parameters such as the emergency power supply's output voltage, current, and frequency are collected. A voltage sensor is used to measure the output voltage, convert the voltage signal into a digital signal, and then perform quantization. For example, a voltage signal ranging from 0 to 10V is converted into a digital value ranging from 0 to 4096, and the actual voltage value is calculated. Similarly, a current sensor is used to collect the output current value. After signal conversion and quantization, the actual current value is obtained. For frequency parameters, the frequency value is obtained by measuring the period of the voltage or current signal and then taking the inverse. Circuit electrical status related to the emergency power supply switching operation, such as circuit on / off status and line impedance, is collected. The circuit on / off status is determined by detecting the presence of current in the circuit. If current is flowing, the circuit is in the on state; if not, the circuit is in the off state. Line impedance is measured using the four-wire method. A known current is injected into the loop, the voltage across the loop is measured, and the line impedance is calculated using Ohm's law. The collected relay status signals, emergency power supply output parameters, and associated circuit electrical status information are integrated to generate operational verification data.

[0056] Operation verification data is encoded and encapsulated according to a pre-set data format. Using the TLV (Type-Length-Value) format, each data type (such as relay status, voltage value, current value, etc.) is assigned a unique type identifier, the data length is recorded, and the actual data value is arranged in the specified byte order. Furthermore, header and trailer information, including the packet sequence number, timestamp, and checksum, are added to ensure data integrity and traceability. The encapsulated operation verification data is transmitted back to the monitoring host in real time via a primary and backup dual-channel transmission architecture. The primary transmission channel utilizes a high-speed fiber optic network, while the backup transmission channel utilizes a wireless communication network. Before data transmission, the communication quality of both the primary and backup channels is evaluated, and the channel with the highest signal strength and lowest bit error rate is selected as the primary transmission channel. The operation verification data packet is copied twice and transmitted simultaneously via the primary and backup channels. The monitoring host receives data from both channels, compares and verifies the data, and confirms that the data transmission is correct if the two channels are consistent. If there is any inconsistency, the primary channel data prevails, triggering the fault diagnosis and repair mechanism of the backup channel.

[0057] Collaborative operation instructions are encrypted using a preset communication security encryption algorithm, effectively preventing theft or tampering during transmission and ensuring the security of the instruction content. At the same time, instructions are converted into dynamic excitation signals adapted to the relay control interface, ensuring that the relay can correctly identify and execute instructions, avoiding misoperation due to incompatible signal formats and improving the security of instruction execution. A time synchronization mechanism and precise relay drive control logic are used to ensure that the relay can accurately execute emergency power switching operations at the time and in the manner required by the instructions. Through regional coordinated power supply control, orderly switching of emergency power supplies at multiple sites is achieved, avoiding possible power interruptions or shocks during the switching process, improving the reliability of power switching, and ensuring the continuous power supply of key railway equipment.

[0058] like Figure 2 As shown, an embodiment of the present invention also provides a railway emergency power supply collaborative control system based on signal linkage, including: The signal acquisition module is used to obtain the electrical parameters and power status data of the station-link cables between adjacent stations based on the distributed optoelectronic isolation signal acquisition units deployed in the machinery rooms of each station along the railway, and transmit the data to the monitoring host in real time through the active-standby dual-channel transmission architecture; The fault analysis module is used by the monitoring host to perform dynamic topological relationship analysis based on the transmitted data and the preset fault feature library, generate a spatial structure framework that represents the scope of the fault impact, and determine the fault category in conjunction with the station-linked circuit control rules to generate a fault judgment result; The regional modeling module is used to dynamically determine three key fault conduction nodes as detection reference points based on the spatial structure framework, construct a polygonal boundary analysis area, and perform adaptive meshing on the polygonal boundary analysis area to form a non-uniform unit set that matches the electrical topology correlation strength; A parameter generation module is used to generate unit control related parameters based on a set of non-uniform units and in combination with the physical distance and electrical coupling degree between each unit and the fault source; The emergency decision-making module is used to combine unit control related parameters with fault judgment results, dynamically calibrate the emergency power startup plan, and generate coordinated operation instructions to the target site; The instruction execution module is used to convert the collaborative operation instructions into dynamic excitation signals through the safety protocol conversion unit, drive the target relay to perform the regional linkage emergency power switching operation, and transmit the operation verification data to the monitoring host in real time.

[0059] It should be noted that this system is a system corresponding to the above method, and all implementation methods in the above method embodiment are applicable to this embodiment and can achieve the same technical effects.

[0060] An embodiment of the present invention further provides a computing device comprising: a processor and a memory storing a computer program, wherein the computer program, when executed by the processor, performs the above-described method. All implementations in the above-described method embodiments are applicable to this embodiment and can achieve the same technical effects.

[0061] The embodiment of the present invention further provides a computer-readable storage medium storing instructions, which, when executed on a computer, causes the computer to execute the above-described method. All implementations in the above-described method embodiment are applicable to this embodiment and can achieve the same technical effects.

[0062] The above is a preferred embodiment of the present invention. It should be pointed out that for ordinary technicians in this technical field, several improvements and modifications can be made without departing from the principles of the present invention. These improvements and modifications should also be regarded as within the scope of protection of the present invention.

Claims

1. A railway emergency power supply collaborative control method based on signal linkage, characterized in that: The method comprises: Step 1: Using the distributed optoelectronic isolation signal acquisition units deployed in the machinery rooms of each station along the railway, the electrical parameters and power status data of the station-link cables between adjacent stations are acquired and transmitted to the monitoring host in real time via a primary-backup dual-channel transmission architecture. Step 2: The monitoring host performs dynamic topological relationship analysis based on the transmitted data and a preset fault feature library to generate a spatial structure framework that represents the fault impact range. It then determines the fault type using the station-linked circuit control rules to generate a fault determination result. Step 3: Based on the spatial structure framework, three key fault conduction nodes are dynamically determined as detection reference points, a polygonal boundary analysis area is constructed, and adaptive meshing is performed on the polygonal boundary analysis area to form a non-uniform unit set that matches the electrical topology correlation strength; Step 4: Based on the heterogeneous unit set, the unit control correlation parameters are generated in combination with the physical distance and electrical coupling degree between each unit and the fault source; Step 5: Combine the unit control related parameters with the fault judgment results, dynamically calibrate the emergency power supply startup plan, and generate a coordinated operation instruction to the target site; In step 6, the collaborative operation instruction is converted into a dynamic excitation signal through the safety protocol conversion unit, driving the target relay to perform the regional linkage emergency power switching operation, and sending the operation verification data back to the monitoring host in real time.

2. The railway emergency power supply coordinated control method based on signal linkage according to claim 1 is characterized in that: Based on the transmitted data, the monitoring host performs dynamic topological relationship analysis in combination with the preset fault feature library, generates a spatial structure framework that represents the scope of the fault impact, and determines the fault category in conjunction with the station-linked circuit control rules to generate a fault determination result, including: Extract features from the received station-link cable electrical parameters and power status data, including voltage mutation rate, abnormal current fluctuation frequency, and power communication interruption duration; Match the extracted features with typical fault modes in the preset fault feature library, including short circuit, disconnection, and equipment aging, to determine the main fault type and secondary related types to obtain matching results; Based on the matching results and the topological connection relationship of the railway signal station circuit, the electrical connection status between each station is dynamically updated to generate a spatial structure framework including the fault source location, transmission direction and the affected station set; Based on the main and standby power supply switching execution rules and equipment power supply path planning strategy in the station-link circuit control rules, the affected site sets in the spatial structure framework are classified and labeled to generate fault judgment results including fault type, impact range and key equipment.

3. The railway emergency power supply coordinated control method based on signal linkage according to claim 2 is characterized in that: Based on the spatial structure framework, three key fault conduction nodes are dynamically determined as detection reference points. A polygonal boundary analysis area is constructed and adaptive meshing is performed on the polygonal boundary analysis area to form a non-uniform unit set that matches the electrical topology correlation strength, including: From the affected site set of the spatial structure framework, three sites with an extreme electrical coupling degree with the fault source and located on the critical path in the site-link circuit topology are identified as key fault transmission nodes, including the upstream site, downstream site, and cable bifurcation point site closest to the fault source. A polygonal boundary analysis area covering the potential fault diffusion area is constructed with the three identified key fault transmission nodes as vertices. According to the electrical equipment density parameters of each sub-area within the polygonal boundary analysis area and the electrical coupling degree parameters with key nodes, the grid division density is dynamically set. The electrical equipment dense sub-area and the sub-area with strong electrical coupling degree are divided into fine-grained grid units; the electrical equipment sparse sub-area and the sub-area with weak electrical coupling degree are divided into coarse-grained grid units. The polygonal boundary analysis area is divided based on the dynamically adjusted grid density to form a non-uniform unit set consisting of grid cells of different sizes, and each grid cell corresponds to the electrical topology correlation strength.

4. The railway emergency power supply coordinated control method based on signal linkage according to claim 3 is characterized in that: Based on the heterogeneous unit set, combined with the physical distance and electrical coupling degree between each unit and the fault source, unit control correlation parameters are generated, including: For each unit in the non-uniform unit set, the physical distance parameter and the electrical coupling degree parameter between the unit and the fault source are calculated to obtain the original parameter pair of each unit; Based on the original parameter pair of each unit, the physical distance parameter is converted into a physical distance normalized weight value, and the electrical coupling degree parameter is converted into an electrical coupling degree normalized weight value through a preset mapping relationship, thereby obtaining two normalized weight values ​​for each unit; Based on the two normalized weight values ​​of each unit, a control-related parameter set of the unit is calculated and generated, including a response timing parameter, a control delay threshold parameter, and a power adjustment parameter.

5. The railway emergency power supply coordinated control method based on signal linkage according to claim 4 is characterized in that: For each unit in the non-uniform unit set, the physical distance parameter and electrical coupling degree parameter between the unit and the fault source are calculated to obtain the original parameter pair of each unit, including: Obtain the geographical coordinates of the fault source and extract the geographical center coordinates of the area covered by the unit to be calculated in the non-uniform unit set; Based on the coordinates of the fault source location and the unit center point location, the geographic Euclidean distance between the two is calculated to generate a physical distance parameter representing the physical distance characteristics of the unit; Based on pre-stored railway station circuit topology data, the connection path between the fault source and the associated electrical equipment within the unit to be calculated is analyzed, and the key path attributes of the path are extracted, including the number of nodes connected in series on the path, the total line impedance value of the path, and the signal transmission direction on the path; Based on the path attributes, an electrical coupling degree parameter representing the electrical connection degree between the unit and the fault source is generated; The physical distance parameter and the step electrical coupling degree parameter are combined into a pair of parameters, that is, the original parameter pair corresponding to each unit.

6. The railway emergency power supply coordinated control method based on signal linkage according to claim 5 is characterized in that: Combine unit control parameters with fault determination results, dynamically calibrate the emergency power startup plan, and generate coordinated operation instructions to the target site, including: Based on the impact scope and key equipment information in the fault determination results, determine the target site set that needs to activate the emergency power supply; Mapping the target site set to the non-uniform unit set, and obtaining the unit control association parameter set corresponding to each target site; Based on the fault type characteristics in the fault determination results, the unit control parameter sets corresponding to each target site are dynamically calibrated and adjusted. For fault types that require rapid isolation, the startup sequence is adjusted based on parameters with strong response timeliness and low control delay thresholds. For fault types that require supplementary power supply, power distribution is adjusted based on parameters with large power adjustment coefficients, resulting in the dynamic calibration and adjustment results. Based on the result of the dynamic calibration adjustment, a coordinated operation instruction including a startup time requirement and a power switching mode is generated for each target site, and the coordinated operation instruction is sent to the corresponding target site.

7. The railway emergency power supply coordinated control method based on signal linkage according to claim 6 is characterized in that: The safety protocol conversion unit converts the coordinated operation instructions into dynamic excitation signals, drives the target relay to perform regional linkage emergency power supply switching operations, and transmits the operation verification data back to the monitoring host in real time, including: Receive collaborative operation instructions, including target site identification, startup time requirements, and power switching methods; Through the security protocol conversion unit, according to the preset communication security encryption algorithm and relay drive signal specifications, the collaborative operation instruction is converted into a dynamic excitation signal adapted to the target relay control interface; Send dynamic excitation signals to the relay control units of the corresponding target sites, driving the target relays to perform emergency power switching operations according to the time and method required by the instructions, thus achieving regional coordinated power control. After the target relay performs the switching operation, the actual action status signal of the relay, the output parameters of the emergency power supply and the electrical status of the associated circuits are collected in real time to generate operation verification data; Through the active-standby dual-channel transmission architecture, operation verification data is transmitted back to the monitoring host in real time for execution effect comparison and status update.

8. A railway emergency power supply coordinated control system based on signal linkage, the system implementing the method according to any one of claims 1 to 7, characterized in that: include: The signal acquisition module is used to obtain the electrical parameters and power status data of the station-link cables between adjacent stations based on the distributed optoelectronic isolation signal acquisition units deployed in the machinery rooms of each station along the railway, and transmit the data to the monitoring host in real time through the active-standby dual-channel transmission architecture; The fault analysis module is used by the monitoring host to perform dynamic topological relationship analysis based on the transmitted data and the preset fault feature library, generate a spatial structure framework that represents the scope of the fault impact, and determine the fault category in conjunction with the station-linked circuit control rules to generate a fault judgment result; The regional modeling module is used to dynamically determine three key fault conduction nodes as detection reference points based on the spatial structure framework, construct a polygonal boundary analysis area, and perform adaptive meshing on the polygonal boundary analysis area to form a non-uniform unit set that matches the electrical topology correlation strength; A parameter generation module is used to generate unit control related parameters based on a set of non-uniform units and in combination with the physical distance and electrical coupling degree between each unit and the fault source; The emergency decision-making module is used to combine unit control related parameters with fault judgment results, dynamically calibrate the emergency power startup plan, and generate coordinated operation instructions to the target site; The instruction execution module is used to convert the collaborative operation instructions into dynamic excitation signals through the safety protocol conversion unit, drive the target relay to perform the regional linkage emergency power switching operation, and transmit the operation verification data to the monitoring host in real time.

9. A computing device, characterized in that include: one or more processors; A storage device for storing one or more programs, wherein when the one or more programs are executed by the one or more processors, the one or more processors implement the method according to any one of claims 1 to 7.

10. A computer-readable storage medium, characterized in that The computer-readable storage medium stores a program, which, when executed by a processor, implements the method according to any one of claims 1 to 7.

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