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

Abstract

The application provides a signal linkage-based railway emergency power supply cooperative control method and system, and relates to the field of railway electric brake systems.The method comprises the following steps: step 1, based on photoelectric isolation signal acquisition units distributed in mechanical rooms of stations along a railway, electrical parameters and power supply state data of station interconnection cables between adjacent stations are acquired, and the data are transmitted in real time to a monitoring host through a main-backup dual-channel transmission architecture; step 2, based on the transmitted data, the monitoring host performs dynamic topological relationship analysis in combination with a preset fault feature library, generates a spatial structure framework representing a fault influence range, and determines a fault category in combination with station interconnection circuit control rules to generate a fault determination result.The application realizes signal linkage and cooperative operation among railway emergency power supplies, improves power supply reliability and emergency response speed, and guarantees stable operation of a railway system.

Description

Technical Field

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

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

[0003] Furthermore, under traditional control technology, each emergency power supply device operates relatively independently. If the emergency power supplies of two adjacent stations are operating at low loads due to excessive load and rapid power consumption in the early stages, while the other is operating at low loads due to failure to adjust its power supply range in time, the lack of effective coordinated control means makes it impossible to dynamically allocate the power supply of the two stations. This may lead to the premature depletion of the emergency power supply at the station with excessive power consumption, endangering the operational safety of critical equipment and increasing the risk of railway transportation disruption. 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 the safe and stable operation of the railway system.

[0005] To solve the above-mentioned technical problems, the technical solution of the present invention is as follows:

[0006] Firstly, a railway emergency power supply collaborative control method based on signal linkage, the method comprising:

[0007] Step 1: Based on the photoelectric isolation signal acquisition units distributed in the mechanical rooms of each station along the railway line, the electrical parameters and power status data of the inter-station cables between adjacent stations are acquired and transmitted to the monitoring host in real time through the main and backup dual-path transmission architecture.

[0008] Step 2: Based on the transmitted data, the monitoring host performs dynamic topology analysis in conjunction with a preset fault feature library to generate a spatial structure framework that characterizes the scope of fault impact. It also determines the fault category in conjunction with the station-connected circuit control rules to generate a fault determination result.

[0009] Step 3: Based on the spatial structure framework, three key fault propagation 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.

[0010] Step 4: Based on the non-uniform unit set, and combining the physical distance and electrical coupling degree between each unit and the fault source, generate unit control correlation parameters;

[0011] Step 5: Combine the unit control associated parameters with the fault judgment results, dynamically calibrate the emergency power supply startup scheme, and generate collaborative operation instructions to the target site;

[0012] Step 6: The collaborative operation command is converted into a dynamic excitation signal through the safety protocol conversion unit, which drives the target relay to perform the emergency power switching operation of the area linkage, and transmits the operation verification data back to the monitoring host in real time.

[0013] Furthermore, based on the transmitted data, the monitoring host performs dynamic topology analysis using a pre-set fault feature library to generate a spatial structural framework characterizing the fault's impact range. This framework, combined with station-connected circuit control rules, determines the fault category to generate a fault determination result, including:

[0014] Feature extraction is performed on the received station-connected cable electrical parameters and power status data, including voltage mutation rate, current abnormal fluctuation frequency, and power communication interruption duration;

[0015] The extracted features are matched with typical fault modes in the preset fault feature library, including short circuit, open circuit, and equipment aging, to determine the primary fault type and secondary related types, so as to obtain the matching results.

[0016] Based on the matching results and combined with the topological connection relationship of the railway signal station interconnection circuit, the electrical connection status between each station is dynamically updated to generate a spatial structural framework including the location of the fault source, the direction of conduction, and the set of stations affected.

[0017] Based on the main and backup power switching execution rules and equipment power supply path planning strategies in the station-connected circuit control rules, the set of affected stations in the spatial structure framework is classified and labeled to generate fault judgment results including fault type, scope of impact, and key equipment.

[0018] Furthermore, based on the spatial structure framework, three key fault propagation nodes are dynamically determined as detection reference points, a polygonal boundary analysis region is constructed, and adaptive meshing is performed on the polygonal boundary analysis region to form a set of non-uniform elements that match the electrical topology correlation strength, including:

[0019] From the set of sites affected by the spatial structure framework, three sites with extreme electrical coupling to the fault source and located on the critical path in the station-connected circuit topology are identified as critical fault propagation nodes. These include the upstream site, downstream site, and cable branching point closest to the fault source. Using the three identified critical fault propagation nodes as vertices, a polygonal boundary analysis area covering the potential fault propagation area is constructed.

[0020] Based on the electrical equipment density parameters and electrical coupling parameters with key nodes in each sub-region within the polygon boundary analysis area, the mesh generation density is dynamically set. For sub-regions with dense electrical equipment and strong electrical coupling, fine-grained mesh units are used; for sub-regions with sparse electrical equipment and weak electrical coupling, coarse-grained mesh units are used.

[0021] The polygon boundary analysis region is divided based on dynamically adjusted grid density, forming a non-uniform set of grid cells of different sizes, and each grid cell corresponds to the electrical topology correlation strength.

[0022] Furthermore, based on the non-uniform element set, and combining the physical distance and electrical coupling degree between each element and the fault source, element control correlation parameters are generated, including:

[0023] For each element in the non-uniform element set, calculate the physical distance parameter and electrical coupling parameter between the element and the fault source to obtain the original parameter pair for each element;

[0024] Based on the original parameter pairs 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, thus obtaining two normalized weight values ​​for each unit.

[0025] Based on the two normalized weight values ​​of each unit, the control correlation parameter set of the generated unit is calculated, including response timing parameters, control delay threshold parameters, and power adjustment parameters.

[0026] Furthermore, for each element in the non-uniform element set, the physical distance parameter and electrical coupling degree parameter between the element and the fault source are calculated to obtain the original parameter pair for each element, including:

[0027] 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;

[0028] Based on the location coordinates of the fault source and the location coordinates of the unit center point, the geographical Euclidean distance between the two is calculated to generate physical distance parameters that represent the physical distance characteristics of the unit.

[0029] Based on the pre-stored railway station connection circuit topology data, the connection path between the fault source and the related electrical equipment inside 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.

[0030] Based on path attributes, an electrical coupling degree parameter representing the degree of electrical connection between the unit and the fault source is generated;

[0031] The physical distance parameter and the step electrical coupling degree parameter are combined into a pair of parameters, which is the original parameter pair corresponding to each unit.

[0032] Furthermore, by combining unit control correlation parameters with fault determination results, the emergency power supply startup scheme is dynamically calibrated, and coordinated operation instructions are generated and sent to the target site, including:

[0033] Based on the scope of impact and key equipment information in the fault determination results, the set of target sites that need to be activated with emergency power supply is determined.

[0034] Map the target site set to the non-uniform cell set to obtain the cell control association parameter set corresponding to each target site;

[0035] Based on the fault type characteristics in the fault determination results, the unit control associated parameter set corresponding to each target site is dynamically calibrated and adjusted. For fault types that need to be quickly isolated, the start-up sequence is adjusted according to parameters with strong response time and low control delay threshold. For fault types that need to be supplemented with power, the power allocation is adjusted according to parameters with large power adjustment coefficients, and the results after dynamic calibration and adjustment are obtained.

[0036] Based on the results of dynamic calibration and adjustment, a collaborative operation instruction including startup time requirements and power switching mode is generated for each target site, and the collaborative operation instruction is sent to the corresponding target site.

[0037] Furthermore, the safety protocol conversion unit converts the collaborative operation commands into dynamic excitation signals, driving the target relay to perform an emergency power switching operation for regional linkage, and transmitting operation verification data back to the monitoring host in real time, including:

[0038] Receive collaborative operation instructions, including target site identifier, startup time requirements, and power switching method;

[0039] Through the security protocol conversion unit, the cooperative operation instructions are converted into dynamic excitation signals that are adapted to the target relay control interface, according to the preset communication security encryption algorithm and relay drive signal specifications.

[0040] The dynamic excitation signal is sent to the relay control unit of the corresponding target site, driving the target relay to perform emergency power switching operation according to the time and method required by the instruction, so as to realize the coordinated power control of the area linkage;

[0041] After the target relay performs a switching operation, the actual operating 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.

[0042] Through a dual-path transmission architecture, operation verification data is transmitted back to the monitoring host in real time for performance comparison and status updates.

[0043] Secondly, a railway emergency power supply collaborative control system based on signal linkage includes:

[0044] The signal acquisition module is used to acquire electrical parameters and power status data of the inter-station cables between adjacent stations based on the opto-isolated signal acquisition units distributed in the mechanical rooms of each station along the railway line, and transmits them to the monitoring host in real time through a dual-path transmission architecture.

[0045] The fault analysis module is used by the monitoring host to perform dynamic topology analysis based on the transmitted data and in combination with a preset fault feature library, generate a spatial structure framework that characterizes the scope of fault impact, and determine the fault category in conjunction with the station-connected circuit control rules to generate fault determination results.

[0046] The region modeling module is used to dynamically determine three key fault propagation 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 set of elements that matches the electrical topology correlation strength.

[0047] The parameter generation module is used to generate unit control correlation parameters based on a non-uniform unit set, combined with the physical distance and electrical coupling degree between each unit and the fault source;

[0048] The emergency decision-making module is used to combine the unit control associated parameters with the fault judgment results, dynamically calibrate the emergency power supply start-up scheme, and generate collaborative operation instructions to the target site.

[0049] The instruction execution module is used to convert collaborative operation instructions into dynamic excitation signals through the safety protocol conversion unit, drive the target relay to perform emergency power switching operations for regional linkage, and transmit operation verification data back to the monitoring host in real time.

[0050] Thirdly, a computing device includes:

[0051] One or more processors;

[0052] A storage device for storing one or more programs that, when executed by one or more processors, cause the one or more processors to implement the method.

[0053] Fourthly, a computer-readable storage medium storing a program that, when executed by a processor, implements the method.

[0054] The above-described solution of the present invention has at least the following beneficial effects:

[0055] By linking the signaling system with emergency power supplies in real time, abnormal signals such as sudden power outages and equipment failures during railway operation can be accurately identified. Upon receiving an abnormal signal, the emergency power supply coordination control mechanism is immediately activated, quickly switching to backup power to prevent power outages caused by main power supply failures. This effectively ensures a continuous and stable power supply for railway signaling equipment, communication systems, and train operation control systems. Using signal linkage to trigger emergency power supply control commands significantly shortens emergency response time compared to the traditional method of manually detecting faults and then activating emergency power. From the triggering of an abnormal signal to the activation of emergency power, it ensures the restoration of power to critical equipment in the shortest possible time, buying valuable time for railway emergency response and reducing the probability of accidents. Multiple emergency power supplies can be coordinated and dispatched according to the power demand of different areas and equipment, as well as the priority of fault signals. The output power of each emergency power supply is rationally allocated to avoid situations where some areas are over-supplied while others are under-supplied, ensuring full and rational utilization of emergency power resources, improving overall emergency power efficiency, and reducing operating costs.

[0056] Employing standardized signal interfaces and communication protocols, it can seamlessly integrate with existing railway signaling systems, power supply systems, and other related equipment, demonstrating excellent compatibility. Furthermore, with the development of railway technology and equipment upgrades, the emergency power supply coordination control function can be easily expanded and upgraded to meet the future needs of intelligent and information-based railway system development. 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. This effectively avoids safety accidents such as train misjudgments and rear-end collisions caused by power supply problems, improving the safety and stability of railway transportation and safeguarding the lives and property of passengers and the efficient operation of the railway. Through signal linkage, the railway emergency power supply can be coordinated and controlled, enabling real-time monitoring of its operating status and parameters. Attached Figure Description

[0057] Figure 1This is a flowchart illustrating the railway emergency power supply collaborative control method based on signal linkage provided in an embodiment of the present invention.

[0058] Figure 2 This is a schematic diagram of a railway emergency power supply collaborative control system based on signal linkage provided in an embodiment of the present invention. Detailed Implementation

[0059] Exemplary embodiments of the present disclosure will now be described in more detail with reference to the accompanying drawings. While exemplary embodiments of the present disclosure are shown in the drawings, it should be understood that the present disclosure may be implemented in various forms and should not be limited to the embodiments set forth herein. Rather, these embodiments are provided so that this disclosure will be thorough and complete, and will fully convey the scope of the disclosure to those skilled in the art.

[0060] like Figure 1 As shown, embodiments of the present invention propose a railway emergency power supply collaborative control method based on signal linkage, the method comprising the following steps:

[0061] Step 1: Based on the photoelectric isolation signal acquisition units distributed in the mechanical rooms of each station along the railway line, the electrical parameters and power status data of the inter-station cables between adjacent stations are acquired and transmitted to the monitoring host in real time through the main and backup dual-path transmission architecture.

[0062] Step 2: Based on the transmitted data, the monitoring host performs dynamic topology analysis in conjunction with a preset fault feature library to generate a spatial structure framework that characterizes the scope of fault impact. It also determines the fault category in conjunction with the station-connected circuit control rules to generate a fault determination result.

[0063] Step 3: Based on the spatial structure framework, three key fault propagation 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.

[0064] Step 4: Based on the non-uniform unit set, and combining the physical distance and electrical coupling degree between each unit and the fault source, generate unit control correlation parameters;

[0065] Step 5: Combine the unit control associated parameters with the fault judgment results, dynamically calibrate the emergency power supply startup scheme, and generate collaborative operation instructions to the target site;

[0066] Step 6: The collaborative operation command is converted into a dynamic excitation signal through the safety protocol conversion unit, which drives the target relay to perform the emergency power switching operation of the area linkage, and transmits the operation verification data back to the monitoring host in real time.

[0067] In this embodiment of the invention, a distributed deployment of opto-isolated signal acquisition units is used to acquire real-time and accurate electrical parameters and power status data of station-connected cables at key nodes along the railway line, avoiding data acquisition failure due to single-point faults. The dual-path transmission architecture ensures uninterrupted data transmission; even if one path fails, the other can still operate normally, improving the reliability and stability of data transmission and preventing misjudgments due to missing or incorrect data. The monitoring host, combined with a preset fault feature library, performs dynamic topology analysis, enabling rapid and accurate determination of the fault's impact range. The generated spatial structure framework visually presents the fault-affected area. Joint station-connected circuit control rules determine the fault category, effectively avoiding the limitations of a single analysis method and improving the accuracy and comprehensiveness of fault determination. This allows staff to grasp the specific situation of the fault immediately, thereby developing targeted emergency measures, shortening fault handling time, and reducing the impact of the fault on railway operations. Dynamically determining three key fault propagation nodes as detection benchmarks and constructing a polygonal boundary analysis area allows for precise focusing on the core fault area, avoiding indiscriminate inspection of the entire system and significantly improving inspection efficiency. Adaptive mesh generation is performed on the polygon boundary analysis area to form a non-uniform set of elements that matches the electrical topology correlation strength. This allows for more detailed analysis of key areas based on the actual electrical topology and fault propagation characteristics, ensuring analysis accuracy while improving resource utilization efficiency, making fault analysis more targeted and efficient.

[0068] Based on a non-uniform unit set, unit control correlation parameters are generated by comprehensively considering the physical distance and electrical coupling degree between each unit and the fault source, fully taking into account the actual situation of different units under the influence of faults. This makes the formulation of emergency power supply control schemes more in line with actual needs, and can rationally allocate emergency power resources according to the importance and impact of each unit, ensuring that key areas and equipment receive priority power support, and improving the rationality and effectiveness of emergency power supply use. By combining unit control correlation parameters with fault judgment results, the emergency power supply startup scheme is dynamically calibrated, enabling the emergency power supply startup scheme to be precisely adjusted according to the actual fault situation and the needs of each area. The generated collaborative operation instructions are targeted at the target site, ensuring that the collaborative control of emergency power supplies is more accurate and targeted, avoiding the waste of resources caused by blindly starting emergency power supplies, while ensuring that emergency power supplies play their maximum role where they are most needed, improving the overall efficiency of emergency response. Through a safety protocol conversion unit, the collaborative operation instructions are converted into dynamic excitation signals, driving the target relay to perform regional linkage emergency power supply switching operations, ensuring that the instructions are executed accurately and error-free, and achieving rapid and reliable switching of emergency power supplies. Real-time transmission of operation verification data to the monitoring host enables staff to promptly grasp the execution status of emergency power switching operations. If problems occur, remedial measures can be taken quickly, forming a closed-loop management system. This further ensures the safety and effectiveness of emergency power switching operations and improves the overall reliability of railway emergency power supply collaborative control.

[0069] In a preferred embodiment of the present invention, step 1 above, based on the opto-isolated signal acquisition units distributed in the machine rooms of each station along the railway line, acquires the electrical parameters and power status data of the inter-station cables between adjacent stations, and transmits them to the monitoring host in real time through a dual-path transmission architecture, may include:

[0070] In this embodiment of the invention, opto-isolated signal acquisition units are precisely deployed in the machine rooms of each railway station, based on the distribution of station-connecting cables and the layout of power supply equipment. The acquisition units are installed in accordance with electrical safety regulations, securely mounted on the equipment rack in the machine room using dedicated fixing brackets, ensuring a safe and reliable physical connection with the station-connecting cables and power supply equipment. For acquiring electrical parameters of station-connecting cables between adjacent stations, the acquisition units are electrically connected to the cables via current transformers and voltage transformers. The current transformers employ a through-hole design, fitting around the cable to sense the current in the cable in real time and convert it into a proportionally weak electrical signal. The voltage transformers are connected to the phase and neutral wires of the cable through insulated terminals, converting 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. Simultaneously, the acquisition unit uses a built-in high-precision resistance measurement circuit and a four-wire measurement method to accurately measure the cable resistance value, reducing measurement errors.

[0071] For acquiring power status data, the acquisition unit obtains data by connecting to the status output interface of the power supply device. For intelligent power supply devices with communication interfaces (such as RS485 or Modbus protocol interfaces), the acquisition unit connects to them via a dedicated communication cable and interacts with them according to the corresponding communication protocol to obtain 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 terminal to acquire switching signals such as the power supply's on / off status and fault alarms.

[0072] In the data transmission stage, the main transmission channel of the dual-path transmission architecture utilizes an industrial-grade fiber optic network, with dedicated fiber optic lines laid between the machine rooms of each site and the monitoring host. The acquisition unit encapsulates the processed electrical parameters and power status data of the station interconnection cables according to the data frame format, converts them into optical signals through the fiber optic transceiver module, and transmits them at high speed to the monitoring host through the fiber optic lines. The backup transmission channel uses a wireless communication network. The acquisition unit has a built-in wireless communication module. When a fault such as signal interruption or low optical power is detected in the main fiber optic transmission, a switching mechanism is immediately triggered to convert the data into a format recognizable by the wireless communication protocol and send it to the monitoring host through the operator's base station. At the same time, both the main and backup transmission channels are equipped with status monitoring modules to monitor the signal strength, bit error rate, and other indicators of the transmission link in real time. Once the main path fault is cleared, data transmission is automatically switched back to the main path while ensuring data transmission integrity, thus guaranteeing the efficiency and stability of data transmission.

[0073] In a preferred embodiment of the present invention, step 2 above, where the monitoring host performs dynamic topology analysis based on the transmitted data and a preset fault feature library to generate a spatial structure framework characterizing the fault's impact range, and determines the fault category in conjunction with station-connected circuit control rules to generate a fault determination result, may include:

[0074] Step 220: Extract features from the received station connection cable electrical parameters and power status data, including voltage mutation rate, current abnormal fluctuation frequency, and power communication interruption duration.

[0075] Step 221: Match the extracted features with typical fault modes in the preset fault feature library, including short circuit, open circuit, and equipment aging, to determine the main fault type and secondary related types, so as to obtain the matching results.

[0076] Step 222: Based on the matching results and combined with the topological connection relationship of the railway signal station interconnection circuit, dynamically update the electrical connection status between each station to generate a spatial structural framework including the location of the fault source, the direction of conduction, and the set of stations affected.

[0077] Step 223: Based on the main and backup power switching execution rules and equipment power supply path planning strategies in the station-connected circuit control rules, classify and label the set of affected stations in the spatial structure framework to generate fault judgment results including fault type, scope of impact, and key equipment.

[0078] In this embodiment of the invention, after the monitoring host receives the station-connected cable voltage data, the voltage values ​​at two adjacent sampling times in the time series are respectively recorded as follows: and The sampling interval is a fixed time. Voltage mutation rate is expressed by the formula The calculation yields the following result. For example, if the interval between two adjacent sampling times is 0.1 seconds, and the voltage at the previous time step is 220V, while the voltage at the current time step changes to 180V, then the voltage change rate is... This calculation process can reflect the rate of voltage change over a short period of time in real time. The received station-connected cable current data is arranged in chronological order, and a threshold for a normal current fluctuation range is set, for example, the normal current range is... Count the number of times the current value exceeds the normal range within a unit of time (e.g., 1 minute). This number This refers to the frequency of abnormal current fluctuations. For example, if the current value exceeds the normal range 8 times within 1 minute, then the frequency of abnormal current fluctuations is 8 times per minute. By calculating this frequency, it is possible to determine whether the current is in a stable state and whether there are any abnormal fluctuations.

[0079] The monitoring host continuously receives communication signals from the power supply equipment, and at a certain moment... When the monitoring host fails to receive the signal that the power supply device should send according to the normal communication cycle, this moment is recorded as the start time of the communication interruption; when at time... When a normal communication signal from the power supply device is received again, this moment is recorded as the end time of the communication interruption. The duration of the power communication interruption is determined by... - The calculation shows that, for example, if the communication interruption starts at 10:00:05 and ends at 10:00:15, then the power communication interruption duration is 10 seconds. This calculation accurately determines the specific duration of the power communication interruption, serving as an important indicator for diagnosing power communication faults.

[0080] The features extracted in step 220, such as voltage mutation rate, abnormal current fluctuation frequency, and power communication interruption duration, are compared with the feature ranges corresponding to typical fault modes like short circuit, open circuit, and equipment aging in a preset fault feature library. For example, the voltage mutation rate range for short circuit faults 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, the primary fault type can be preliminarily determined to be short circuit. If the power communication interruption duration is also found to be 12 seconds, and the equipment aging fault mode contains related features describing unstable power communication, then the secondary association type can be determined to be equipment aging, thus obtaining the matching result. During the comparison process, a fuzzy matching principle is adopted; when data features are close to the range in the preset fault feature library, they are also considered, improving the accuracy of fault judgment.

[0081] Based on the matching results obtained in step 221, and combined with the pre-constructed topology of the railway signal station connection circuit, taking a short-circuit fault as an example, assuming the matching results show that the fault occurred in the station connection cable between station A and station B, then in the topology, the electrical connection state between station A and station B is marked as a fault state. Simultaneously, based on circuit principles and fault propagation data, the possible propagation direction of the short-circuit fault is analyzed, such as propagation from station A to station B, or bidirectional propagation. Then, the set of stations affected by the fault is determined, including station A, station B, and other stations with direct electrical connections to stations A and B that may be affected by the fault. Finally, information such as the fault source location (cable between station A and station B), propagation direction, and the set of affected stations is integrated to generate a spatial structural framework containing this key information, visually presenting the distribution of the fault in the railway signal station connection circuit.

[0082] Based on the main / backup power supply switching execution rules and equipment power supply path planning strategies in the station-connected circuit control rules, the affected station set in the spatial structure framework generated in step 222 is classified and labeled. For example, for each station in the affected station set, it is determined which stations' critical equipment (such as signals, turnout control equipment, etc.) needs to be immediately switched to backup power supply in the event of a main power supply failure, and these stations are marked as high-priority affected stations; for some non-critical equipment, they are marked as low-priority affected stations. At the same time, combining the fault type determined in step 221 (such as short circuit, open circuit, equipment aging, etc.) and the impact range (affected station set) determined in step 222, the fault type, impact range, and critical equipment information are integrated to generate a complete fault determination result. For example, the fault determination result may be "The fault type is short circuit, the impact range includes stations A, B, and C, and the critical equipment is the signal at station A and the turnout control equipment at station B."

[0083] By accurately calculating key features such as voltage mutation rate, current abnormal fluctuation frequency, and power communication interruption duration, effective information reflecting equipment operating status can be precisely extracted from large amounts of data. Compared to simple threshold judgment, this quantitative calculation method can capture data change trends more meticulously, reduce misjudgments caused by data fluctuations, and enable the monitoring host to accurately identify abnormal situations during equipment operation. By matching with a preset fault feature library and combining fuzzy matching principles, not only can the main fault type be quickly determined, but also potential secondary related types can be discovered. This multi-dimensional matching method fully considers the complexity of actual fault scenarios and avoids misjudgments caused by single-factor judgment. Based on the dynamic updating of electrical connection status according to topological connection relationships, the generated spatial structure framework clearly shows the location of the fault source, the direction of conduction, and the set of affected sites. According to the station-connected circuit control rules, affected sites are classified and labeled. The generated fault judgment results include fault type, scope of impact, and key information of key equipment. Based on the severity and scope of the fault, priority can be given to handling key equipment faults, and the switching of main and backup power supplies and equipment power supply paths can be rationally planned, improving the efficiency and scientific nature of emergency handling.

[0084] In a preferred embodiment of the present invention, step 3 above, which dynamically determines three key fault propagation nodes as detection reference points based on the spatial structure framework, constructs a polygonal boundary analysis region, and performs adaptive mesh generation on the polygonal boundary analysis region to form a non-uniform element set matching the electrical topology correlation strength, may include:

[0085] Step 330: From the set of sites affected by the spatial structure framework, identify three sites that are electrically coupled to the fault source at an extreme level and are on the critical path in the station connection circuit topology as critical fault propagation nodes, including the upstream site, downstream site and cable branching point site closest to the fault source, and construct a polygonal boundary analysis area covering the potential fault propagation area using the three identified critical fault propagation nodes as vertices.

[0086] Step 331: Based on the electrical equipment density parameters and electrical coupling degree parameters with key nodes of each sub-region within the polygon boundary analysis area, dynamically set the mesh generation density. For sub-regions with dense electrical equipment and strong electrical coupling, divide them into fine-grained mesh units; for sub-regions with sparse electrical equipment and weak electrical coupling, divide them into coarse-grained mesh units.

[0087] Step 332: The polygon boundary analysis area is divided based on the dynamically adjusted grid density to form a non-uniform set of grid cells of different sizes, and each grid cell corresponds to the electrical topology correlation strength.

[0088] In this embodiment of the invention, for each site in the set of affected sites within the spatial structure framework, the degree of electrical coupling with the fault source is calculated. The degree of electrical coupling is evaluated by analyzing the number of circuit connections between the site and the fault source, line impedance, and signal transmission loss. For example, by calculating the sum of the inverses of the impedances of all connecting lines between two sites, and combining this with the power loss ratio when the signal is transmitted on these lines, a comprehensive value is obtained; the larger this value, the stronger the electrical coupling. After filtering out sites with extreme electrical coupling levels (maximum or minimum values) from all sites, Dijkstra's algorithm is used to determine whether these sites are on the critical path. Dijkstra's algorithm sets a vertex set and a distance array, starting from the initial vertex, continuously selecting the vertex with the smallest distance to expand, updating the distances of its adjacent vertices, and finally finding the shortest path from the source point to each vertex. This identifies the critical path that plays a decisive role in signal transmission or power supply in the circuit; if this path is interrupted, it will seriously affect the operation of the entire system. Finally, the upstream site, downstream site, and cable branching point closest to the fault source are identified as the three critical fault propagation nodes.

[0089] Using three identified critical fault propagation nodes as vertices, a polygon is constructed geometrically. The principle of the sum of interior angles of a triangle and the distance formula between two points are used to calculate the distances and angles between each vertex, ensuring the polygon covers the potential fault propagation area. Specifically, based on the coordinates of the three vertices, the side lengths are calculated using the distance formula between two points, and the interior angles are calculated using the law of cosines, thus determining the shape and extent of the polygon. The polygon boundary analysis area is divided into several sub-regions, and for each sub-region, the number of electrical devices it contains is counted. And calculate the area of ​​the sub-region. (Obtained through geographic information systems or geometric calculation methods). Electrical equipment density parameters are obtained using formulas. The calculations show that this parameter reflects the density of electrical equipment within a sub-region. For each sub-region, the electrical connection relationship between it and three key fault propagation 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-region and each key node is obtained. Then, the maximum value among these values ​​is taken as the electrical coupling degree parameter between the sub-region and the key nodes.

[0090] Two thresholds are set: one for electrical equipment density and the other for... and electrical coupling threshold When the electrical equipment density parameter of the sub-region Greater than And the electrical coupling parameters with key nodes Greater than When the sub-region is determined to be a sub-region with dense electrical equipment and strong electrical coupling, it is divided into fine-grained mesh elements; when the electrical equipment density parameter of the sub-region... Less than And the electrical coupling parameters with key nodes Less than When a sub-region is identified as having sparse electrical equipment and weak electrical coupling, it is divided into coarse-grained mesh units. For other cases, a transitional division between fine-grained and coarse-grained mesh units is performed based on specific parameter values. The polygon boundary analysis region is divided based on the dynamically adjusted mesh density from step 331. Starting from the polygon boundary, mesh units are gradually filled inwards according to the set mesh density. During the division process, seamless connection between adjacent mesh units is ensured, and the size and shape of each mesh unit are adjusted according to the electrical equipment density and electrical coupling degree of its sub-region. After division, each mesh unit is assigned a corresponding electrical topology association strength, which is determined by a combination of the previously calculated electrical equipment density parameters and the electrical coupling degree parameters with key nodes, thus forming a non-uniform set of mesh units of different sizes.

[0091] By comprehensively considering the degree of electrical coupling and incorporating the critical path of the circuit topology determined by Dijkstra's algorithm, three key fault propagation nodes are accurately identified. A polygonal boundary analysis region is then constructed based on these nodes, effectively focusing on the core impact area and potential propagation paths of the fault. This avoids a comprehensive investigation of the entire railway signaling system, narrowing the scope of fault investigation and improving the accuracy and efficiency of fault location. The mesh density is dynamically adjusted according to the density of electrical equipment and the degree of electrical coupling. Fine-grained mesh cells are used in critical sub-regions with dense electrical equipment and strong electrical coupling to ensure meticulous analysis of these areas, leaving no potential fault points unchecked. Coarse-grained mesh cells are used in sparse electrical equipment and weak electrical coupling areas to avoid over-analysis and resource waste. This adaptive meshing method ensures both the accuracy and efficiency of fault analysis, achieving a rational allocation of resources. The resulting non-uniform set of cells corresponds to a clear electrical topology correlation strength for each cell.

[0092] In a preferred embodiment of the present invention, step 4 above, which generates unit control correlation parameters based on a non-uniform unit set and considering the physical distance and electrical coupling degree between each unit and the fault source, may include:

[0093] Step 440: For each cell in the non-uniform cell set, calculate the physical distance parameter and electrical coupling degree parameter between the cell and the fault source to obtain the original parameter pair for each cell. Specifically, this includes: obtaining the geographical coordinates of the fault source and extracting the geographical center point coordinates of the area covered by the cell to be calculated in the non-uniform cell set; calculating the geographical Euclidean distance between the fault source coordinates and the cell center point coordinates to generate a physical distance parameter representing the physical distance characteristics of the cell; parsing the connection path between the fault source and the associated electrical equipment inside the cell to be calculated based on the pre-stored railway station connection circuit topology data, and extracting the 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 degree parameter representing the degree of electrical connection between the cell and the fault source based on the path attributes; and combining the physical distance parameter and the electrical coupling degree parameter from the previous step into a parameter pair, which is the original parameter pair corresponding to each cell.

[0094] Step 441: Based on the original parameter pairs 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, thus obtaining two normalized weight values ​​for each unit.

[0095] Step 442: Based on the two normalized weight values ​​of each unit, calculate and generate the control association parameter set of the unit, including response timing parameters, control delay threshold parameters, and power adjustment parameters.

[0096] In this embodiment of the invention, for each unit in the non-uniform unit set, its coordinate information in the geographical space along the railway line is obtained, and the coordinates of the fault source are determined. The straight-line distance between the unit and the fault source is calculated using the distance formula between two points in a Cartesian coordinate system. If the terrain along the railway line is complex, it is also necessary to combine the actual railway line alignment and obtain more accurate physical distance parameters by accumulating the lengths of each line segment along the railway line between the unit and the fault source. For example, if the railway line is a broken line passing through multiple stations, 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 to obtain the final physical distance.

[0097] Analyze the electrical connections between each unit and the fault source, and statistically analyze the number of connecting lines, their impedance values, and signal transmission losses along these lines. By calculating the sum of the reciprocals of the total impedance of the connecting lines and combining this with the signal transmission loss ratio, a comprehensive value reflecting the degree of electrical coupling is obtained. For example, if there are three connecting lines between the unit and the fault source, with impedances of... , , Then the sum of the reciprocals of the total impedance is This value is then multiplied by a coefficient that accounts for transmission loss to obtain the electrical coupling level parameter. The larger this value, the stronger the electrical coupling between the unit and the fault source. The calculated physical distance parameter and electrical coupling level parameter are then used to form the original parameter pair for each unit. ,in Represents the physical distance parameter. This parameter indicates the degree of electrical coupling.

[0098] Determine the maximum value of the physical distance parameter for all cells in a non-uniform cell set. and minimum value For the physical distance parameter of each unit Using the normalization formula The calculation is performed to transform the physical distance parameter to the interval [0, 1], thus obtaining the normalized weight value of the physical distance. This weight value reflects the relative position of the unit's physical distance among all units. A larger value indicates that the unit is farther from the fault source and has a relatively lower priority in emergency response. Find the maximum value of the electrical coupling parameter for all units in the non-uniform unit set. and minimum value For the electrical coupling level parameter of each unit Through formula Normalization is performed to obtain the normalized weight values ​​for the degree of electrical coupling. This weight value is also in the range [0, 1]. A larger value indicates a stronger electrical coupling between the unit and the fault source, requiring priority attention during emergency handling. Thus, each unit receives two normalized weight values ​​( , ).

[0099] Different weight coefficients are set based on the two normalized weight values ​​of each unit. and ( + =1, and , Determined based on actual needs and experience, for example =0.4, =0.6, indicating a greater emphasis on electrical coupling. Response timing parameters Through formula The calculation yielded the result. The larger the value, the later the unit is in the emergency response sequence; The smaller the value, the more emergency operations are initiated, thus determining the response sequence of each unit. A mapping relationship is established between the control delay threshold parameter and the normalized weight value, and a base delay threshold is set. Then, the weight values ​​are normalized based on the physical distance. and the normalized weight value of electrical coupling degree Adjustments can be made. For example, control the delay threshold parameter. ,in and This is an adjustment factor (determined based on the actual system characteristics). Thus, units farther from the fault source and with weaker electrical coupling have a relatively larger control delay threshold; conversely, those closer to the fault have a smaller threshold, to accommodate the emergency control needs of different units.

[0100] The weight values ​​are normalized based on the degree of electrical coupling between the unit and the fault source. and the system's total power resources Calculate power adjustment parameters Set the power allocation factor. (Determined based on actual needs), power adjustment parameters Units with stronger electrical coupling obtain larger power adjustment parameters, enabling them to receive more power support during emergency power distribution and ensuring the normal operation of critical equipment. Ultimately, each unit obtains parameters including response timing parameters. Control delay threshold parameters and power adjustment parameters Control association parameter set ( , , ).

[0101] By accurately calculating the physical distance and electrical coupling degree between each unit and the fault source, and performing normalization and parameter calculations, a comprehensive and quantified set of control correlation parameters is generated for each unit. These parameters accurately reflect the actual situation of each unit under fault scenarios, enabling emergency decision-makers to scientifically and rationally determine the response sequence, control delay, and power allocation of each unit based on these parameters. This avoids blind emergency handling and achieves precise and efficient emergency response. Based on the power adjustment parameters in the control correlation parameter set, limited emergency power resources can be rationally allocated to key areas and equipment according to the electrical coupling degree between the unit and the fault source. For units with strong electrical coupling, more power is allocated first to ensure their normal operation and prevent fault propagation; for units with weak electrical coupling, power allocation is rationally reduced to avoid resource waste, thereby 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 time points, avoiding confusion and conflict in emergency operations of different units. Units that are close to the fault source and have strong electrical coupling are given priority in response, which can quickly isolate the fault and restore power to critical equipment; reasonable control delay settings ensure coordination between operations and reduce the risk of misoperation.

[0102] In a preferred embodiment of the present invention, step 5 above, which combines the unit control correlation parameters with the fault determination result to dynamically calibrate the emergency power supply startup scheme and generate a collaborative operation command to the target site, may include:

[0103] Step 550: Based on the impact range and key equipment information in the fault determination results, determine the set of target sites that need to be activated with emergency power.

[0104] Step 551: Map the target site set to the non-uniform cell set and obtain the cell control association parameter set corresponding to each target site;

[0105] Step 552: Based on the fault type characteristics in the fault determination results, dynamically calibrate and adjust the set of unit control associated parameters corresponding to each target site. For fault types that need to be quickly isolated, adjust the start-up sequence according to parameters with strong response time and low control delay threshold. For fault types that need to be supplemented with power, adjust the power allocation according to parameters with large power adjustment coefficients to obtain the results after dynamic calibration and adjustment.

[0106] Step 553: Based on the results of dynamic calibration and adjustment, generate a collaborative operation instruction for each target site, including startup time requirements and power switching methods, and send the collaborative operation instruction to the corresponding target site.

[0107] In this embodiment of the invention, the fault determination result includes an impact range presented in the form of a spatial structure framework, which clearly marks the set of stations affected by the fault. The station names or numbers within the impact range are read one by one. For example, if the impact range shows that the fault affects four stations A, B, C, and D, the information for these four stations is extracted. The fault determination result also includes information on critical equipment, such as the signal at station A and the turnout control equipment at station B. For each critical piece of equipment, its location is determined. The stations containing the critical equipment are integrated with the stations extracted from the impact range, and duplicate stations are removed to finally determine the target set of stations requiring emergency power activation. If station A is both within the impact range and contains the critical equipment signal, station A is only retained once during integration to avoid duplicate processing.

[0108] Each cell in the non-uniform cell set corresponds to a region along the railway line, and each target station is also located at a specific point along the railway line. Using geographic coordinate matching, the coordinates of the target station are compared with the coordinate range of each cell in the non-uniform cell set. When the coordinates of the target station meet the specified range, a mapping relationship is established between the target station and the cell. Based on this established mapping relationship, a corresponding cell is found for each target station. Each cell has pre-calculated parameters including response timing parameters. Control delay threshold parameters and power adjustment parameters Control association parameter set ( , , The control association parameter set of the corresponding unit is extracted and used as the initial control association parameter set of the target station.

[0109] The fault diagnosis results clearly indicate the fault type, such as short circuit, open circuit, or equipment aging. Different fault types have different characteristics; for example, short circuit faults require rapid isolation to prevent escalation, while open circuit faults may require supplemental power supply to the affected area. For fault types such as short circuits, a response time adjustment coefficient is set. and control delay threshold adjustment coefficient ( >1, <1, the specific value is determined based on practical experience and system characteristics). Response timing parameters corresponding to the target site. Adjustments were made to the response timing parameters. This reduces the value of the parameter, thereby increasing the site's priority in emergency response; [regarding the control delay threshold parameter] Adjustments were made to the control delay threshold parameters. Lower the delay threshold to ensure rapid execution of emergency operations. For fault types such as line breaks, set the power adjustment coefficient adjustment factor. ( >1). Power adjustment parameters corresponding to the target site Adjustments were made, and the adjusted power adjustment parameters were obtained. = This increases the weight of the site in emergency power allocation, enabling it to receive more power support. Through this method, the unit control associated parameter set corresponding to each target site is dynamically calibrated and adjusted to obtain the final adjustment result.

[0110] Based on the response timing parameters adjusted by dynamic calibration and control delay threshold parameters Based on the overall emergency response time plan of the system, the start-up time requirement is determined for each target site. Parameters are adjusted according to the fault type and the adjusted power. Determine the power switching method. For target sites with high power demand, adopt a fast and seamless primary / backup power switching method to ensure uninterrupted power supply; for sites with low power demand, a conventional power switching method can be used. Combine the startup time requirement and power switching method into a collaborative operation command, for example, the command format is "Target Site: A, Startup Time: The switching method is "fast and seamless switching." The generated collaborative operation instructions are sent to the corresponding target stations via a dedicated railway communication network. The communication network employs a reliable transmission protocol to encrypt and verify the instructions, ensuring accurate delivery to the target stations.

[0111] By accurately identifying the target site set and dynamically calibrating the emergency power supply activation scheme based on unit control correlation parameters and fault type characteristics, customized collaborative operation instructions are generated for each target site. This enables emergency power supplies to be 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 according to the fault type and the actual needs of each site to ensure that emergency power resources are rationally allocated to critical sites and equipment. For sites requiring rapid fault isolation, priority is given to ensuring the timeliness of their emergency operations; for sites requiring supplemental power supply, sufficient power support is provided. Through calibration and adjustment of response timing parameters and control delay threshold parameters, the order and time nodes for emergency power supply activation at each target site are clarified, avoiding operational conflicts and resource contention that may result from multiple sites activating emergency power simultaneously. Simultaneously, a unified collaborative operation instruction format and reliable communication transmission ensure that each site can execute emergency operations in a coordinated manner, enhancing the coordination and orderliness of the entire emergency response process and improving the overall efficiency of railway emergency response.

[0112] In a preferred embodiment of the present invention, step 6 above, which involves converting the cooperative operation command into a dynamic excitation signal through a security protocol conversion unit, driving the target relay to perform an emergency power switching operation for regional linkage, and transmitting operation verification data back to the monitoring host in real time, may include:

[0113] Step 660: Receive collaborative operation instructions, including target site identifier, startup time requirements, and power switching method;

[0114] Step 661: Through the security protocol conversion unit, the cooperative operation command is converted into a dynamic excitation signal adapted to the target relay control interface according to the preset communication security encryption algorithm and relay drive signal specification.

[0115] Step 662: The dynamic excitation signal is sent to the relay control unit of the corresponding target site to drive the target relay to perform emergency power switching operation according to the time and method required by the instruction, so as to realize the power coordinated control of the area linkage;

[0116] Step 663: After the target relay performs the switching operation, the actual operating 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.

[0117] Step 664: Through the primary and backup dual-path transmission architecture, the operation verification data is transmitted back to the monitoring host in real time for execution effect comparison and status update.

[0118] In this embodiment of the invention, the security protocol conversion unit receives cooperative operation instructions through a dedicated railway communication network. The instructions are transmitted in the form of data packets, including a packet header, instruction content, and a checksum. First, the integrity and legitimacy of the data packets are verified by calculating the checksum of the received data packets (e.g., CRC checksum) and comparing it with the checksum carried in the data packets. If they match, the data packets are confirmed to be complete and error-free. Then, key information such as the target station identifier (e.g., station number or name), startup time requirement (timestamp accurate to milliseconds), and power switching method (e.g., fast seamless switching, conventional switching, etc.) are extracted from the instruction content.

[0119] The cooperative operation commands are encrypted using a pre-defined communication security encryption algorithm (such as AES-256 encryption). First, a random encryption key is generated. Then, information such as the target site identifier, startup time requirements, and power switching method are combined into a plaintext data block. The plaintext data block is then encrypted using the encryption key to generate ciphertext data. Simultaneously, to ensure data transmission integrity, the hash value of the ciphertext data (such as SHA-256 hash) is calculated and appended to the ciphertext data to form the encrypted command data. Based on the relay drive signal specification, the encrypted command 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 a current range of 4-20mA. For example, the minimum value of the data is mapped to 4mA, the maximum value is mapped to 20mA, and intermediate values ​​are converted linearly to generate dynamic excitation signals.

[0120] The generated dynamic excitation signal is transmitted to the relay control unit of the corresponding target site via a dedicated control line. During the transmission process, a time synchronization mechanism is used to ensure that the relays execute the switching operation according to the time required by the instruction. Using the system clock as a reference, a timestamp is attached to the signal transmission. After receiving the signal, the relay control unit performs time calibration based on the synchronization deviation between its own clock and the system clock, executing the excitation signal at the accurate start time. Upon receiving the dynamic excitation signal, the relay control unit executes the corresponding control logic based on the power switching mode information in the signal. For the fast seamless switching mode, the control unit first closes the relay on the backup power side, and after confirming that the backup power supply is functioning normally, it then opens the relay on the main power side to ensure uninterrupted power supply. For the conventional switching mode, the relay on the main power side is opened first, and after a short delay, the relay on the backup power side is closed. By precisely controlling the timing of the relay actions, coordinated power control across different areas is achieved.

[0121] After the target relay performs a switching operation, the actual operating status signal of the relay is acquired in real time. The success of the relay operation is determined by the on / off state of its auxiliary contacts. For example, when the relay closes, its auxiliary contacts change from a normally open state to a normally closed state. By detecting the state change of the auxiliary contacts, a corresponding status signal is generated (e.g., 1 indicates closed, 0 indicates open). The output voltage, current, frequency, and other parameters of the emergency power supply are acquired. A voltage sensor is used to measure the output voltage value, which is then converted into a digital signal and quantized. For example, a 0-10V voltage signal is converted into a digital quantity of 0-4096, and the actual voltage value is calculated. Similarly, a current sensor is used to acquire the output current value, which is then converted and quantized to obtain the actual current value. For frequency parameters, the frequency value is obtained by measuring the period of the voltage or current signal and taking its reciprocal. The electrical status of the circuits related to the emergency power supply switching operation is acquired, such as circuit on / off status and line impedance. The circuit on / off status is determined by detecting the presence of current in the circuit. If current flows, the circuit is in a conducting state; if no current flows, the circuit is in a disconnected state. For line impedance measurement, the four-wire method is used. A known current is injected into the circuit, the voltage across the circuit is measured, and the line impedance value is calculated using Ohm's law. The collected relay operation status signals, emergency power supply output parameters, and related circuit electrical status information are integrated to generate operational verification data.

[0122] Operational verification data is encoded and encapsulated according to a preset data format. The TLV (Type-Length-Value) format is used, assigning a unique type identifier to each data type (such as relay status, voltage value, current value, etc.), recording the data length, and arranging the actual data values ​​according to a specified byte order. Simultaneously, packet header and trailer information, including packet sequence number, timestamp, checksum, etc., are added to ensure data integrity and traceability. The encapsulated operational verification data is transmitted back to the monitoring host in real time via a dual-path transmission architecture. The primary transmission uses a high-speed fiber optic network, while the backup transmission channel uses a wireless communication network. Before data transmission, the communication quality of both primary and backup channels is evaluated, and the channel with high signal strength and low bit error rate is selected as the primary transmission channel. Two copies of the operational verification data packet are copied and transmitted simultaneously through both channels. The monitoring host receives data from both channels, compares and verifies the data. If the two data streams match, the data transmission is confirmed to be correct; if inconsistencies occur, the primary data takes precedence, and the fault diagnosis and repair mechanism of the backup channel is triggered.

[0123] The collaborative operation commands are encrypted using a pre-set communication security encryption algorithm, effectively preventing theft or tampering during transmission and ensuring the security of the command content. Simultaneously, the commands are converted into dynamic excitation signals compatible with the relay control interface, ensuring that the relays can correctly identify and execute the commands, avoiding malfunctions caused by incompatible signal formats, and improving the security of command execution. A time synchronization mechanism and precise relay drive control logic ensure that the relays can accurately execute emergency power switching operations according to the time and method required by the commands. Through regionally coordinated power supply control, the orderly switching of emergency power supplies at multiple stations is achieved, avoiding potential power interruptions or surges during the switching process, improving the reliability of power switching, and ensuring continuous power supply to critical railway equipment.

[0124] like Figure 2 As shown, embodiments of the present invention also provide a railway emergency power supply collaborative control system based on signal linkage, including:

[0125] The signal acquisition module is used to acquire electrical parameters and power status data of the inter-station cables between adjacent stations based on the opto-isolated signal acquisition units distributed in the mechanical rooms of each station along the railway line, and transmits them to the monitoring host in real time through a dual-path transmission architecture.

[0126] The fault analysis module is used by the monitoring host to perform dynamic topology analysis based on the transmitted data and in combination with a preset fault feature library, generate a spatial structure framework that characterizes the scope of fault impact, and determine the fault category in conjunction with the station-connected circuit control rules to generate fault determination results.

[0127] The region modeling module is used to dynamically determine three key fault propagation 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 set of elements that matches the electrical topology correlation strength.

[0128] The parameter generation module is used to generate unit control correlation parameters based on a non-uniform unit set, combined with the physical distance and electrical coupling degree between each unit and the fault source;

[0129] The emergency decision-making module is used to combine the unit control associated parameters with the fault judgment results, dynamically calibrate the emergency power supply start-up scheme, and generate collaborative operation instructions to the target site.

[0130] The instruction execution module is used to convert collaborative operation instructions into dynamic excitation signals through the safety protocol conversion unit, drive the target relay to perform emergency power switching operations for regional linkage, and transmit operation verification data back to the monitoring host in real time.

[0131] It should be noted that this system is a system corresponding to the above method. All implementation methods in the above method embodiments are applicable to this embodiment and can achieve the same technical effect.

[0132] Embodiments of the present invention also provide a computing device, including: a processor and a memory storing a computer program, wherein the computer program, when executed by the processor, performs the method described above. All implementations in the above method embodiments are applicable to this embodiment and can achieve the same technical effects.

[0133] Embodiments of the present invention also provide a computer-readable storage medium storing instructions that, when executed on a computer, cause the computer to perform the method described above. All implementations in the above method embodiments are applicable to this embodiment and can achieve the same technical effects.

[0134] The above description represents the preferred embodiments of the present invention. It should be noted that those skilled in the art can make various improvements and modifications without departing from the principles of the present invention, and these improvements and modifications should also be considered within the scope of protection of the present invention.

Claims

1. A signal interlocking based coordinated control method for emergency power supply of railway, characterized in that, The method comprises: Step 1, based on the photoelectric isolation signal acquisition unit distributed in the mechanical room of each station along the railway, the electrical parameters and power state data of the adjacent station cable are obtained, and the real-time transmission is realized through the main and standby dual-channel transmission architecture to the monitoring host; Step 2, the monitoring host transmits the data, combines the preset fault feature library for dynamic topology relationship analysis, generates a spatial structure framework representing the fault influence range, and judges the fault category combined with the station cable control rule to generate a fault judgment result; specifically including: feature extraction of the received station cable electrical parameters and power state data, including voltage mutation rate, current abnormal fluctuation frequency, power communication interruption time; match the extracted features with the typical fault modes in the preset fault feature library, including short circuit, disconnection, device aging, determine the main type and secondary associated type to obtain the matching result; Based on the matching result, combined with the topology connection relationship of the railway signal station cable, the electrical connection state between each station is dynamically updated, and a spatial structure framework including the fault source position, conduction direction and influence station set is generated; based on the main and standby power supply switching execution rule and the device power supply path planning strategy in the station cable control rule, the influence station set in the spatial structure framework is classified and labeled to generate a fault judgment result including fault type, influence range and key device; Step 3, according to the spatial structure framework, dynamically determine three key fault conduction nodes as detection reference points, construct a polygon boundary analysis area, and perform adaptive grid division on the polygon boundary analysis area to form a non-uniform unit set matched with the electrical topology association strength; Step 4, based on the non-uniform unit set, combined with the physical distance and electrical coupling degree of each unit to the fault source, generate unit control association parameters; Step 5, combine the unit control association parameters with the fault judgment result, dynamically calibrate the emergency power supply starting scheme, and generate a cooperative operation instruction to the target station; Step 6, the cooperative operation instruction is converted into a dynamic excitation signal through a safety protocol conversion unit, which drives the target relay to execute the emergency power supply switching operation of regional linkage, and real-time feedback operation verification data to the monitoring host.

2. The signal interlock based coordinated control method for emergency power supply of a railway according to claim 1, characterized in that, According to the spatial structure framework, dynamically determine three key fault conduction nodes as detection reference points, construct a polygon boundary analysis area, and perform adaptive grid division on the polygon boundary analysis area to form a non-uniform unit set matched with the electrical topology association strength, including: From the influence station set of the spatial structure framework, determine three stations with extreme electrical coupling degree to the fault source and in the key path of the station cable topology as the key fault conduction nodes, including the nearest uplink station, downlink station and cable branch point station, and construct a polygon boundary analysis area covering the potential diffusion area of the fault with the three determined key fault conduction nodes as the vertices; According to the electrical equipment density parameters and the electrical coupling degree parameters of the key nodes in each sub-region in the polygon boundary analysis area, the grid division density is dynamically set, and fine-grained grid units are divided in the sub-regions with dense electrical equipment and strong electrical coupling degree; and coarse-grained grid units are divided in the sub-regions with sparse electrical equipment and weak electrical coupling degree. Based on the dynamically adjusted grid density, the polygon boundary analysis area is divided to form a non-uniform unit set composed of grid units of different sizes, and each grid unit corresponds to an electrical topology correlation strength.

3. The signal interlock based coordinated control method for emergency power supply of railway according to claim 2, characterized in that, Based on the non-uniform unit set, the unit control correlation parameters are generated in combination with the physical distance and the electrical coupling degree between each unit and the fault source, 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 an 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, to obtain two normalized weight values of each unit. Based on the two normalized weight values of each unit, the control correlation parameter set of the unit is calculated, including a response time sequence parameter, a control delay threshold parameter and a power adjustment parameter.

4. The signal interlock based coordinated control method of emergency power supply for railway according to claim 3, characterized in that, 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 an original parameter pair of each unit, including: The geographical position coordinates of the fault source are obtained, and the geographical center point position coordinates of the area covered by the unit to be calculated in the non-uniform unit set are extracted; Based on the position coordinates of the fault source and the center point position coordinates of the unit, the geographical Euclidean distance between them is calculated to generate a physical distance parameter representing the physical distance characteristics of the unit; According to the pre-stored railway station interconnection circuit topology relationship data, the connection path between the fault source and the associated electrical equipment inside the unit to be calculated is analyzed, and the key path attributes of the path are extracted, including the number of nodes 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 close degree of electrical connection between the unit and the fault source is generated; The physical distance parameter and the electrical coupling degree parameter of step are combined into a pair of parameters, which are the original parameter pair corresponding to each unit.

5. The signal interlock based coordinated control method of emergency power supply for railway according to claim 4, characterized in that, The unit control correlation parameters are combined with the fault determination result to dynamically calibrate the emergency power supply start-up scheme, and a cooperative operation instruction is generated to the target station, including: Based on the influence range and the key equipment information in the fault determination result, a target station set that needs to start the emergency power supply is determined; The target station set is mapped to the non-uniform unit set to obtain the unit control correlation parameter set corresponding to each target station; Based on the fault type characteristics in the fault judgment result, the unit control associated parameter set corresponding to each target station is dynamically calibrated and adjusted. For the fault type that needs to be quickly isolated, the starting order is adjusted according to the parameters with strong response timeliness and low control delay threshold; for the fault type that needs to be supplemented with power supply, the power distribution is adjusted according to the parameters with large power adjustment coefficient, to obtain the dynamically calibrated and adjusted result; Based on the dynamically calibrated and adjusted result, a cooperative operation instruction including a starting time requirement and a power supply switching mode is generated for each target station, and the cooperative operation instruction is sent to the corresponding target station.

6. The signal interlock based coordinated control method of emergency power supply for railway according to claim 5, characterized in that, The cooperative operation instruction is converted into a dynamic excitation signal by a safety protocol conversion unit, the target relay is driven to perform the emergency power supply switching operation of regional linkage, and operation verification data is fed back to the monitoring host in real time, including: Receiving the cooperative operation instruction, including the target station identifier, the starting time requirement and the power supply switching mode; Through the safety protocol conversion unit, the cooperative operation instruction is converted into a dynamic excitation signal suitable for the control interface of the target relay according to the preset communication security encryption algorithm and the relay driving signal specification; The dynamic excitation signal is sent to the relay control unit of the corresponding target station to drive the target relay to perform the emergency power supply switching operation according to the required time and mode, so as to realize the power supply cooperative control of regional linkage; After the target relay performs the switching operation, the actual action state signal of the relay, the output parameter of the emergency power supply and the electrical state of the loop are collected in real time to generate operation verification data; Through the master-slave dual-channel transmission architecture, the operation verification data is fed back to the monitoring host in real time for execution effect comparison and state update.

7. A signal interlocking based coordinated control system for emergency power supply of railway, which implements the method according to any one of claims 1 to 6, characterized in that, It includes: A signal acquisition module is used to acquire the electrical parameter and power supply state data of the station interconnection cable between adjacent stations based on the optoelectronic isolation signal acquisition unit distributed along the railway line, and transmit the data to the monitoring host in real time through the master-slave dual-channel transmission architecture; A fault analysis module is used to dynamically analyze the topological relationship based on the transmitted data by the monitoring host, generate a spatial structure framework representing the influence range of the fault, and determine the fault category by combining the preset fault feature library to generate a fault judgment result; A 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 polygon boundary analysis area, and perform adaptive grid division on the polygon boundary analysis area to form a non-uniform unit set matching the electrical topological association strength; A parameter generation module is used to generate unit control associated parameters based on the non-uniform unit set and the physical distance and electrical coupling degree of each unit and the fault source; An emergency decision module is used to combine the unit control associated parameters with the fault judgment result to dynamically calibrate the emergency power supply starting scheme and generate a cooperative operation instruction to the target station; An instruction execution module is used to convert the cooperative operation instruction into a dynamic excitation signal by a safety protocol conversion unit, drive the target relay to perform the emergency power supply switching operation of regional linkage, and feed back operation verification data to the monitoring host in real time.

8. A computing device, comprising: It includes: One or more processors; a memory device for storing one or more programs that, when executed by the one or more processors, cause the one or more processors to implement a method recited in any of claims 1-6.

9. A computer-readable storage medium, characterized in that, The computer readable storage medium stores a program, which, when executed by a processor, implements a method recited in any of claims 1-6.

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