Power consumption adjusting method and system for railway turnout snow melting

Abstract

The invention relates to the technical field of railway turnout snow melting control, in particular to a power consumption adjusting method and system for railway turnout snow melting, and the method comprises the following steps: obtaining information of a train approaching a specific turnout area, the train information comprising train category information and train operation state information, and according to the train information, determining the power consumption of the train according to the train category information and the train operation state information; judging whether the train is in a static state of the specific turnout area or not; when the train is in the static state, the current operation mode of the snow melting system is maintained, and meanwhile train operation instruction information from a dispatching system is obtained; according to the train operation instruction information, whether preheating operation on the specific turnout area is triggered or not is judged; the static state of the train in the turnout area is actively recognized, preheating is carried out in combination with a dispatching instruction, and subsequent secondary freezing detection and short-time ice melting are carried out, so that the problem of turnout jamming caused by compaction of an ice layer during the static period of the train is effectively solved.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of snow melting control of railway turnout, and particularly relates to a power consumption adjustment method and system for railway turnout snow melting. BACKGROUND

[0002] In winter, ice and snow threaten the safety and efficiency of turnout operation, and the railway system is generally equipped with electric heating snow melting devices. The device automatically starts heating according to the environmental sensor (air temperature, precipitation) to prevent ice and snow accumulation. In response to the call for energy saving, the transport flat peak period or train gap is often switched to low power mode.

[0003] However, the existing snow melting system may face unexpected difficulties in some specific and complex scenarios based on its environmental perception and energy saving strategy, and even endanger the safety of train operation. For example, in a busy railway hub where high-speed passenger trains and heavy freight trains run together, the snow melting system in the turnout area usually relies on heating units distributed in key positions, environmental sensors and a central control unit. Its basic working logic is: when the sensor detects that the environmental temperature is lower than the preset value and is accompanied by precipitation, the heating unit is started to melt snow.

[0004] In actual operation, high-speed passenger trains pass through the turnout area at high speed, and the action time on the snow is short. While heavy freight trains, especially trains with a large axle load of ten thousand tons, pass through the turnout area at a slow speed and often need to stay at the signal machine in front of the turnout for a long time. In the process of continuous snowfall, when a heavy freight train is temporarily stopped in the turnout area due to dispatching instructions, the huge static pressure of its wheels will compact the loose snow below for a long time, destroy the snow structure, expel air, and make it recrystallize to form a thin ice layer that is closely attached to the rail, has extremely high density and poor thermal conductivity. This physical process is local and hidden, occurring between the wheel and the rail, and standard remote environmental sensors often cannot detect such local changes. For the control unit of the snow melting system, the on-site environmental data it relies on is still "low temperature and continuous snowfall", and it cannot identify this potential danger caused by the train being stationary. More seriously, according to the energy saving operation diagram of the railway department, when the system detects that the train has been stationary for more than a preset time, it may judge it as "non-passing state" and reduce the heating power to low power mode according to the energy saving instruction. At this time, the snow melting system will run at a lower power based on the energy saving priority strategy, and cannot foresee the impending turnout blockage risk.

[0005] When the train restarts and receives the switch conversion instruction, the high-density ice layer previously "manufactured" by the train itself will firmly stick to the movable parts of the switch, causing the switch conversion motor to fail to normally drive the movement of the frog. The snow melting system in low-power mode has very low efficiency in melting and compacting ice layer, and the heat transfer is slow. Even if the control unit immediately increases the power after detecting the switch conversion timeout fault, it still takes several minutes to melt the ice layer. This several minutes of delay is unacceptable for high-speed passenger trains with closely planned schedules, and directly threatens train safety.

[0006] In view of the above problems, the prior art needs to be improved. SUMMARY

[0007] The purpose of the present application is to solve the problems existing in the prior art and provide a power consumption adjustment method and system for railway switch snow melting.

[0008] In a first aspect, the present application provides a power consumption adjustment method for railway switch snow melting, which comprises the following steps: Obtain train information near a specific switch area, the train information including train category information and train running state information, and determine whether the train is in a stationary state in the specific switch area according to the train information; During the stationary state of the train, maintain the current operation mode of the snow melting system, and at the same time, obtain train running instruction information from a dispatching system; According to the train running instruction information, determine whether to trigger a pre-heating operation on the specific switch area; When the pre-heating operation is triggered, adjust the power of the heating unit of the specific switch area to heat at a preset power for a preset period of time; After the end of the preset period of time, or after the train leaves the specific switch area, restore the normal operation mode of the snow melting system.

[0009] The core innovation of the present application is that by comprehensively judging the train information (including train category information and train running state information) and the train running instruction information from the dispatching system, the risk of snow compaction and icing can be predicted during the stationary state of the train in the switch area, and the pre-heating operation of the heating unit is triggered, so as to realize the power consumption adjustment of the snow melting system under the premise of ensuring the safety of switch conversion, and avoid energy consumption.

[0010] In a second aspect, a power consumption adjustment system for railway switch snow melting is provided, which comprises: A state judging module is configured to acquire train information close to a specific turnout area, the train information including train category information and train running state information, and judge whether the train is in a static state in the specific turnout area according to the train information. An instruction acquiring module is configured to maintain a current operation mode of the snow melting system during the train is in the static state, and acquire train running instruction information from a dispatching system. A trigger judging module is configured to judge whether to trigger a pre-heating operation on the specific turnout area according to the train running instruction information. A power adjusting module is configured to adjust power of a heating unit of the specific turnout area to heat at a preset power within a preset time period when the pre-heating operation is triggered. A mode restoring module is configured to restore a normal operation mode of the snow melting system after the preset time period ends or after the train leaves the specific turnout area.

[0011] Compared with the prior art, the present application has the following beneficial effects: By actively identifying the static state of the train in the turnout area, and combining the pre-heating operation with the subsequent secondary frozen detection and short-time ice melting, the turnout blockage caused by the compacted ice layer during the static state of the train is effectively solved, which can effectively prevent the turnout blockage caused by the compacted ice layer during the static state of the train in the turnout area, and significantly improves the safety and operation efficiency of the railway transportation. BRIEF DESCRIPTION OF DRAWINGS

[0012] Figure 1 The present application is a method flowchart.

[0013] Figure 2 The present application is a system structure schematic diagram.

[0014] In the figure: 201, state judging module; 202, instruction acquiring module; 203, trigger judging module; 204, power adjusting module; 205, mode restoring module. DETAILED DESCRIPTION

[0015] The embodiments of the present application are described in detail below, and examples of the embodiments are shown in the accompanying drawings, wherein the same or similar reference signs represent the same or similar elements or elements having the same or similar functions throughout. The embodiments described below by referring to the accompanying drawings are exemplary and are only used to explain the present application, and cannot be understood as a limitation of the present application.

[0016] The terms "first", "second", "third", etc. are used only for descriptive purposes and do not connote or imply relative importance or an ordering between or among the indicated technical features. Thus, features defined with "first", "second" or "third" can include one or more of the features implicitly or explicitly. In the description of the present application, the meaning of "a plurality" is two or more, unless otherwise expressly specified.

[0017] The conventional existing railway turnout snow melting system, when running according to the environmental sensor data and the energy saving strategy, when the train is stationary in the turnout area, especially when the heavy load train stays for a long time, there is a phenomenon that the accumulated snow is compacted by the wheels to form ice layer with high density. This ice layer hinders the turnout conversion operation, causes the turnout to delay in responding to the conversion instruction, and further affects the train operation safety and efficiency. When the system is in energy saving mode, the speed of the heating power to melt such compacted ice layer is insufficient, even if a fault is detected and the power is increased, there is a response lag.

[0018] Therefore, the present application provides a power consumption adjustment method for railway turnout snow melting as shown in the accompanying drawings. Figure 1 The method comprises the following steps: S101, acquiring train information approaching a specific turnout area, the train information including train category information and train running state information, and determining whether the train is in a stationary state in the specific turnout area according to the train information; S102, maintaining the current operation mode of the snow melting system during the stationary state of the train, and acquiring train running instruction information from a dispatching system; S103, determining whether to trigger a pre-heating operation for the specific turnout area according to the train running instruction information; S104, when the pre-heating operation is triggered, adjusting the power of the heating unit of the specific turnout area to heat at a preset power within a preset time period; S105, after the preset time period ends or after the train leaves the specific turnout area, restoring the normal operation mode of the snow melting system.

[0019] The train information refers to data used to identify and describe the train approaching the turnout area, which includes train category information and train running state information. The train category information refers to the type of train, such as high-speed passenger train, heavy-load freight train or ordinary freight train, which can be obtained by vehicle identification system, RFID tag reader or train dispatch database query, etc. The purpose is to distinguish the influence of different types of trains on the turnout area. The train running state information refers to the movement of the train in the turnout area, such as stationary, low-speed running or high-speed passing, which can be obtained by track sensor, wheel counter or video analysis system, etc. The purpose is to determine whether the train stays in the turnout area. The turnout area refers to the part of the railway turnout equipment that needs to be treated by snow melting, which can include the point rail, the basic rail, the frog, the sliding bed plate, etc. The purpose is to determine the physical range of the snow melting system. The stationary state refers to the situation that the train stops moving in the turnout area, which can be determined according to the speed being zero or lower than the set threshold in the train running state information, and lasting for a period of time. The purpose is to identify the scene that the train may stay for a long time and cause compaction risk of snow. The train running instruction information of the dispatch system refers to the instruction data about train running plan and state issued by the railway dispatch center, which can include train expected stay time, subsequent line conversion plan or temporary parking instruction, etc. It can be obtained by data communication interface, special dispatch terminal or network protocol, etc. The purpose is to provide decision basis for power consumption adjustment of the snow melting system. The pre-heating operation refers to the action of heating the turnout area before the train may cause snow compaction and icing risk, which aims to melt or soften the potential ice layer and ensure the turnout conversion without obstacles. The heating unit refers to the device installed in the turnout area for generating heat to melt snow and ice, which can take the form of electric heating rod, electric heating tape or induction heater, etc. The purpose is to directly heat the turnout components. The set period refers to the time length of the pre-heating operation, which can be set or dynamically adjusted according to the train category, environmental temperature, snowfall intensity, etc. The purpose is to control the energy consumption of heating operation while ensuring the snow melting effect. The set power refers to the output power of the heating unit during the pre-heating operation, which can be set or dynamically adjusted according to the type of snow, environmental temperature, turnout structure, etc. The purpose is to ensure the melting of potential ice layer within the set period.

[0020] The scheme of the present application acquires train information close to the turnout area, including train category information and train running state information, so as to grasp the type of the train and its dynamics in the turnout area in real time. Based on these train information, the system judges whether the train is in a stationary state in the turnout area. Once it is confirmed that the train is in a stationary state, the snow melting system maintains its existing operation mode to ensure the basic snow melting function. At the same time, the system acquires train running instruction information from the dispatching system, which provides data about the subsequent running plan of the train. In view of the comprehensive consideration of the train information and the dispatching instruction, the system judges whether it is necessary to trigger the pre-heating operation of the turnout area. This judgment mechanism aims to identify the stationary situation that may cause the compacted snow to be compacted into ice layer with high density by the train. Once it is judged that the pre-heating operation needs to be triggered, the system adjusts the power of the heating unit of the turnout area so that it heats at a set power within a set period. This heating aims to melt or soften the ice layer before it is formed or solidified. After the end of the set period, or after the train leaves the turnout area, the snow melting system returns to the general operation mode to avoid energy consumption and adapt to the new running environment. Through this judgment and heating mechanism based on train information and dispatching instruction, the present application solves the contradiction between the secondary freezing risk and energy consumption that the traditional snow melting system may face in the train stationary scenario.

[0021] As an embodiment of the present application, after the end of the preset period of the pre-heating operation, if the train is still in a stationary state, the method further comprises: switching the operation mode of the snow melting system to a detection mode; in the detection mode, providing a detection power to the heating unit and monitoring the temperature change of the heating unit; judging whether there is secondary freezing in the specific turnout area according to the temperature change; if it is judged that there is secondary freezing, triggering a short-time ice melting heating; after the short-time ice melting heating is completed, returning to the detection mode until the train leaves the specific turnout area.

[0022] The detection mode refers to a special operating state of the snow melting system, specifically a mode designed to actively detect whether secondary freezing exists in the turnout area, and the purpose is to continuously and low-power monitor the turnout area during train stop to prevent potential icing risk. The detection power refers to a specific power provided to the heating unit in the detection mode, specifically a small heating power lower than the regular snow melting power but sufficient to cause a perceptible temperature change, and the purpose is to make the temperature of the heating unit sensitive to the medium state (such as ice, water, snow) change of the turnout area through weak heating, thereby providing a basis for judging secondary freezing. The temperature change refers to the temperature change trend of the heating unit itself or between the heating unit and the surrounding environment over time or space after applying the detection power, which can be specifically real-time collection of heating unit surface temperature data through temperature sensors, and comparison and analysis with the ambient temperature or turnout rail body reference temperature, and the purpose is to identify abnormal heat transfer characteristics that may be caused by secondary freezing by analyzing these temperature data. The short-time ice melting heating refers to a short-duration and high-power heating operation triggered by the system after judging the existence of secondary freezing, which can be specifically to raise the power of the heating unit to a level sufficient to quickly melt thin ice, such as a higher percentage of the rated power, and the purpose is to quickly eliminate the formed thin ice layer and ensure the smooth switching of the turnout when the train starts.

[0023] The scheme of the present application further optimizes the processing logic when the train is still in a stationary state after the pre-heating operation is completed in the power consumption adjustment method for snow melting of railway turnout. In the basic scheme, when the train approaches a specific turnout area and is in a stationary state, the system triggers a pre-heating operation according to the train operation instruction information, causing the heating unit to heat at a preset power for a preset period of time to meet the upcoming train passing demand. However, after the pre-heating is completed, if the train is still stationary, the humidity of the turnout area may increase due to snow melting, and once the environmental temperature drops, secondary freezing may occur. At this time, if the normal operation mode is simply restored, it may not be able to timely discover and handle such hidden dangers. To this end, the scheme of the present application, after the preset period of the pre-heating operation ends, if the train is still in a stationary state, the system no longer directly restores the normal operation mode, but switches the operation mode of the snow melting system to a detection mode. This mode switching is based on the pre-judgment of the potential secondary freezing risk, avoiding the turnout failure due to negligence. In the detection mode, the system provides a detection power to the heating unit, which is a low-power continuous heating, and the purpose is to actively heat the turnout area slightly, so as to be more sensitive to temperature changes. At the same time, the system continuously monitors the temperature changes of the heating unit, and by analyzing these temperature data, the icing condition of the turnout area can be inferred. Subsequently, the system judges whether there is secondary freezing in the specific turnout area according to the monitored temperature changes. This judgment is the core of the detection mode, and through the set temperature change threshold or model, the normal state and the state with secondary freezing can be distinguished. Once it is judged that there is secondary freezing, the system will immediately trigger a short-term ice melting heating. This short-term ice melting heating is a targeted measure aimed at quickly melting the thin ice layer that has formed to avoid hindering the turnout switching. After the short-term ice melting heating is completed, the system returns to the detection mode and continues to monitor the turnout area until the train leaves the specific turnout area. This cyclic mechanism ensures that during the train stationary period, the system can continuously monitor and handle the possible secondary freezing until the train leaves, thereby removing the potential safety hazard. Through the coordinated operation of the above steps, the scheme of the present application, on the basis of the pre-heating of the basic scheme, increases the intelligent detection and rapid response capability of secondary freezing in the stationary state of the train. The basic scheme ensures the turnout preparation before the train passes, and the present scheme makes up for the deficiency of the basic scheme in the specific high-risk scenario, i.e., the secondary freezing problem that may occur after pre-heating. Through continuous detection and on-demand short-term heating, the system can effectively avoid the turnout failure caused by secondary freezing, ensuring the safety and efficiency of railway transportation, while avoiding unnecessary full-power heating when there is no actual icing risk, thereby realizing the rational use of energy on the premise of safety.

[0024] As an embodiment of the present application, according to the temperature change, the step of judging whether the specific turnout area has secondary freezing comprises: In the detection mode, a constant power is provided to the heating unit; The surface temperature of the heating unit and the reference temperature of the turnout rail body are obtained; According to the surface temperature and the reference temperature, the temperature difference between the heating unit and the turnout rail body is calculated; According to the temperature difference and the constant power, a value representing the heat transfer capacity of the medium in the specific turnout area is determined; The value is compared with a preset value; If the value exceeds the preset value, it is determined that there is a high-viscosity substance in the specific turnout area, and accordingly it is determined that there is secondary freezing in the specific turnout area.

[0025] The constant power refers to the electric power applied to the heating unit during the detection process, which remains unchanged, and its purpose is to provide a stable heat source input, thereby ensuring the comparability and accuracy of subsequent temperature measurement and heat transfer capacity calculation. The value representing the heat transfer capacity of the medium in the specific turnout area refers to an index that can quantify the efficiency of heat transfer from the heating unit to the turnout rail body. This value can be thermal conductivity, thermal resistance, or other physical quantities related to heat transfer efficiency, which is to intuitively reflect the degree of hindrance of the current medium in the turnout area to heat transfer. The preset value refers to a baseline heat transfer capacity value determined through experiments, simulations or historical data under normal conditions without ice and snow or high-viscosity substances. This value serves as a threshold for determining whether there is an abnormal heat transfer state, and its purpose is to provide a reliable reference standard for comparison and abnormal identification. High-viscosity substances refer to substances in the turnout area that can significantly hinder heat transfer, such as compacted or frozen ice layers, high-density snow, or other frozen substances with similar physical properties. These substances have a thermal conductivity much lower than normal air or water, making it difficult for heat to be effectively transferred. The purpose is to clearly point out the physical cause of the abnormal decrease in heat transfer capacity.

[0026] The scheme of the present application ensures the stability of the heat source input by providing a constant power to the heating unit in the detection mode, laying a foundation for subsequent accurate measurement. The surface temperature of the heating unit and the reference temperature of the switch rail body are obtained, so that the system can capture the actual effect of heat transfer from the heating source to the rail. By calculating the temperature difference between the two, the degree of hindrance of heat transfer is directly quantified. Further, in combination with the constant power and the temperature difference, a value representing the heat transfer capacity of the medium in the specific switch area is determined, which comprehensively reflects the real influence of the current medium in the switch area on heat transfer, such as the presence of ice layer and other high-viscosity substances. Comparing the value with the preset value can accurately identify whether the heat transfer capacity is abnormal. If the value exceeds the preset value, it indicates the presence of high-viscosity substances, thereby accurately determining whether secondary freezing occurs in the specific switch area. This scheme is closely combined with the previous steps. After the pre-heating operation of the train ends, if the train is still in a stationary state, the system will switch to the detection mode. In this mode, the above-mentioned accurate heat transfer capacity determination method can effectively solve the problem of how to accurately determine secondary freezing according to temperature changes, avoiding misjudgment or omission caused by judging only the ambient temperature or simple threshold. This fine detection mechanism enables the system to discover problems at the initial stage of secondary freezing or before its influence appears, thereby triggering short-time ice melting heating in time to ensure smooth operation of the switch when the train starts or the switching command is issued, ensuring train safety and avoiding unnecessary long-time high-power heating, achieving a balance between energy saving and safety.

[0027] As an embodiment of the present application, the step of determining a value representing the heat transfer capacity of the medium in the specific switch area according to the temperature difference and the constant power comprises: obtaining the surface temperature of the heating unit and the reference temperature of the switch rail body at the corresponding position from multiple temperature detection points in the specific switch area; calculating the temperature difference values between the heating unit and the switch rail body according to the surface temperature of the heating unit and the reference temperature of the switch rail body; performing time accumulation processing and spatial combination processing on the multiple temperature difference values; obtaining a comprehensive temperature difference reflecting the overall heat transfer characteristics of the key area of the switch; determining a value representing the heat transfer capacity of the medium in the specific switch area according to the comprehensive temperature difference and the constant power.

[0028] Among them, the multiple temperature detection points refer to the setting of more than one temperature sensor for measuring temperature in the specific switch area, which can be realized by thermistors, thermocouples or infrared temperature sensors, etc. The purpose is to obtain temperature data at different positions in the switch area to provide comprehensive temperature information; The time accumulation processing refers to continuous or periodic data integration of the temperature difference values obtained at different time points, which can be realized by calculating the average value, weighted average value, maximum value, minimum value or trend analysis in a period of time, and the purpose is to reflect the dynamic characteristics of the temperature difference with time and avoid errors caused by instantaneous data. The spatial combination processing refers to data integration of the temperature difference values obtained at different spatial positions, which can be realized by weighted summation, regional average, interpolation calculation or aggregation based on geometric distribution of the temperature difference values of different detection points, and the purpose is to aggregate the scattered local temperature information into an index that can represent the overall heat transfer condition of the region. The comprehensive temperature difference refers to a value that can reflect the overall heat transfer characteristics of the turnout key region, which is obtained by time accumulation processing and spatial combination processing of multiple temperature difference values, and the purpose is to provide a more representative heat transfer capacity evaluation basis than single position or single time point data.

[0029] The solution of the present application obtains the surface temperature of the heating unit and the reference temperature of the turnout rail body at the corresponding position from multiple temperature detection points within a specific turnout area, thereby being able to collect temperature information at different positions in the turnout key area, avoiding the local deviation that may be caused by a single detection point. Based on these multi-point data, the temperature difference values ​​between the multiple heating units and the turnout rail body are calculated. These difference values ​​directly reflect the heat transfer efficiency of each local area. In order to evaluate the overall heat transfer characteristics of the turnout, these multiple temperature difference values ​​are accumulated over time, which enables the solution to capture the trend of temperature difference changes over time. For example, long-term temperature difference changes may be more indicative of the heat transfer state of the medium than instantaneous differences. At the same time, spatial combination processing is performed, which enables the solution to integrate local heat transfer information at different positions to form a view, thereby overcoming the limitation that single position data cannot reflect the overall condition of the turnout key area. Through this temporal and spatial processing, a comprehensive temperature difference that can reflect the overall heat transfer characteristics of the turnout key area is finally obtained. This comprehensive temperature difference not only takes into account the heat transfer conditions of different parts of the turnout, but also takes into account the continuity of the heat transfer process. Therefore, it is more accurate and reliable than an assessment that relies solely on a single location or instantaneous data. Ultimately, based on this comprehensive temperature difference and constant power, a numerical value characterizing the heat transfer capacity of the medium in a specific turnout area is determined. This value can accurately reflect the heat transfer capacity of the turnout under actual operating conditions, thereby providing a solid and comprehensive data basis for subsequent judgments on whether secondary freezing exists. This multi-dimensional and comprehensive data processing method improves the accuracy of the assessment of the heat transfer capacity of the medium in the turnout area, thereby improving the reliability of the secondary freezing judgment, and compensating for the possible deviations that may occur when relying solely on the temperature difference at a single location to assess the heat transfer capacity. Therefore, during the period when the train is stationary, the potential risk of secondary freezing can be identified in a timely and accurate manner, providing a trigger basis for subsequent short-term ice melting and heating operations, and ensuring the response of the turnout conversion and driving safety.

[0030] As an embodiment of the present invention, the steps of performing temporal accumulation processing on a plurality of temperature difference values ​​and performing spatial combination processing include: Obtain train category information and environmental information of a specific turnout area; Determining the period of temporal accumulation processing and parameters of spatial combination processing according to the train category information and the environmental information of the specific turnout area; According to the cycle and parameters, multiple temperature difference values ​​are accumulated temporally and combined spatially.

[0031] The category information of the train refers to identification data for distinguishing different types of trains, which can include the load level, speed level, vehicle type (such as high-speed EMU, heavy-load freight train, and general-speed passenger train), or its running characteristics (such as axle load, wheel number, etc.), and aims to identify different physical effects of the train on the turnout area, such as the degree of compacting snow or the rate of heat transfer. The environmental information of the specific turnout area refers to real-time or historical data related to the external environment of the turnout area, which can include air temperature, humidity, wind speed, snowfall, rainfall, sunshine intensity, or ice and snow type (such as dry snow, wet snow, ice particles, etc.), and aims to reflect the external conditions of ice and snow formation and melting in the turnout area. The period of cumulative processing in time refers to the time span of data collection or averaging when integrating multiple temperature difference values in the time dimension, which can be a fixed time period (such as 5 minutes, 10 minutes) or a dynamically adjusted time window, and aims to ensure that the accumulated temperature difference values can fully reflect the heat transfer trend of the turnout area in a specific time period. The parameter of combination processing in space refers to the weight coefficient or combination rule used when weighting or fusing multiple temperature difference values from different temperature detection points in the spatial dimension, which can assign different weights to detection points at different positions (such as higher weight for detection points close to the frog) or use a specific interpolation algorithm, and aims to ensure that the combined temperature difference values can accurately reflect the overall heat transfer characteristics of the key area of the turnout.

[0032] The scheme of the present application solves the problem of reduced accuracy of heat transfer capacity value under different trains and environmental conditions by dynamically adjusting the processing method of temperature difference value. Specifically, first, the category information of the train and the environmental information of the specific turnout area are obtained, because different types of trains, such as high-speed trains and heavy-load trains, and different environmental conditions, such as air temperature and humidity, will have different effects on the temperature distribution and ice and snow freezing in the turnout area. For example, heavy-load trains stay on the turnout for a long time, and their huge static pressure may cause the snow to be compacted into a high-density ice layer, in which case a longer temperature difference value accumulation period is needed to accurately capture the changes in heat transfer capacity; while in the case of light-load trains passing through or in high environmental temperature, a shorter accumulation period may be required. On this basis, according to the obtained train category information and environmental information, the system can intelligently determine the accumulation processing period in time and the combination processing parameters in space. The accumulation processing period in time determines how long the temperature difference value is accumulated, while the combination processing parameters in space determine how to combine the temperature difference values at different positions. By considering these dynamic factors to determine the period and parameters, the actual heat transfer situation can be more accurately reflected, avoiding the errors caused by fixed parameters. Subsequently, according to the determined period and parameters, the multiple temperature difference values are accumulated in time and combined in space. This adaptive processing method makes the comprehensive temperature difference more accurately and more representatively reflect the overall heat transfer characteristics of the key area of the turnout. This is an optimization over the previous scheme, which obtains temperature difference values from multiple temperature detection points and performs accumulation and combination, so that when the value representing the heat transfer capacity of the medium in the specific turnout area is determined according to the comprehensive temperature difference and the constant power, the accuracy of the value is improved. It is precisely because of this dynamic consideration of train and environmental factors that the system can more accurately assess whether there is high-viscosity substance in the turnout area, thereby more accurately judging secondary freezing and avoiding insufficient snow melting or excessive heating due to misjudgment, ensuring the timeliness of turnout switching and driving safety.

[0033] As an embodiment of the present application, the step of determining the accumulation processing period in time and the combination processing parameters in space includes: According to the category information of the train and the environmental information of the specific turnout area, selecting the matching period and parameters from the preset parameter set; Alternatively, according to the category information of the train and the environmental information of the specific turnout area, calculating the period and parameters through a preset calculation relationship.

[0034] The preset parameter set refers to one or more groups of parameters of accumulated processing in time and combined processing in space, which can be implemented in the form of a data table, a configuration file or a database, and the purpose is to quickly retrieve and apply the verified appropriate parameters according to the specific train category information and environmental information; the preset calculation relationship refers to a pre-established mathematical model or algorithm logic for dynamically generating the period and the parameter according to the input information, which can be implemented by an empirical formula, a regression model or a calculation model based on physical principles, and the purpose is to flexibly calculate the appropriate period and parameter that adapt to the current working condition according to the dynamically changing train category information and environmental information.

[0035] The scheme of the present application accurately determines the period and the parameter of the accumulated processing in time and the combined processing in space of the plurality of temperature difference values by introducing two parameter determination mechanisms, i.e., selecting from the preset parameter set or calculating through the preset calculation relationship. When the system obtains the train category information and the environmental information, one of the two ways can be selected to obtain the period and the parameter that adapt to the current working condition according to the requirements of the actual application scene. For example, in a scene with high response speed requirements, the system can quickly find and select the matching period and parameter from the preset parameter set, thereby realizing fast response speed. In a scene requiring fine or dynamic adjustment, the system can use the preset calculation relationship to dynamically calculate the appropriate period and parameter according to the real-time train category information and environmental information. This parameter determination method has dynamic and intelligent characteristics, so that the subsequent accumulated processing in time and combined processing in space of the plurality of temperature difference values can more accurately reflect the overall heat transfer characteristics of the turnout key area. Specifically, by adjusting the accumulation period and the combination parameter according to the train category and the environmental condition, the system can capture the formation of local ice layer caused by train static compaction, even if such ice layer is difficult to be discovered through a single temperature point or short-time monitoring in the early stage. This accurate heat transfer capacity evaluation further improves the accuracy of the judgment of whether there is secondary freezing in a specific turnout area. When it is judged that there is secondary freezing, the system can timely trigger short-time ice melting heating, thereby eliminating the ice layer before the train starts, avoiding turnout conversion failure. Therefore, the present scheme forms a close logical chain with the previous steps of obtaining train information, judging static state, detecting secondary freezing and triggering pre-heating, so that the whole snow melting power consumption regulation method can have intelligence and adaptability, thereby ensuring railway transportation safety while realizing high energy utilization efficiency.

[0036] As an embodiment of the present application, the step of selecting the matching period and parameter from the preset parameter set comprises: constructing a correspondence table containing train categories, environmental conditions and periods and parameters; obtaining train category information and environmental information; According to the train category information and the environment information, a query is performed in a correspondence table; A matched period and parameter are obtained.

[0037] The correspondence table refers to a data structure in which optimized parameter combinations in various typical scenarios are pre-stored, which can be implemented in the form of a database, a lookup table or a configuration file, etc. The purpose is to convert the complex parameter calculation process into a fast table lookup operation, thereby simplifying the parameter determination process.

[0038] The scheme of the present application selects a matched period and parameter through a pre-set parameter set, thereby optimizing the evaluation process of the heat transfer characteristics of the turnout area. Specifically, a correspondence table containing train categories, environment conditions, periods and parameters is first constructed. This table pre-stores optimized parameter combinations in various typical scenarios, comprehensively considers the influence of different types of trains and different environment conditions on the heat transfer characteristics of the turnout area, and pre-sets the corresponding cumulative period and combination parameter for each combination. This pre-setting avoids the complexity of real-time calculation, and instead uses pre-off-line calculation and experimental data to realize fast lookup and application. Subsequently, the system obtains the current train category information and environment information, which are the key inputs for selecting a suitable parameter combination and can reflect the influence of the train passing through on the pressure and heat transfer characteristics of the turnout area and the influence of the external environment on the snow melting efficiency. Then, the system performs a query in the pre-constructed correspondence table according to the obtained train category information and environment information, and directly finds the period and parameter that match the current conditions. This table lookup mechanism significantly simplifies the parameter determination process and avoids complex real-time calculation. The finally obtained matched period and parameter will be used for the time accumulation and spatial combination of multiple temperature difference values. This processing method can more accurately obtain a comprehensive temperature difference reflecting the overall heat transfer characteristics of the key area of the turnout, and then determine a value representing the heat transfer capacity of the medium in a specific turnout area according to the comprehensive temperature difference and the constant power. By comparing the value with a pre-set value, it can be determined whether there is high viscosity substance in the specific turnout area, and whether there is a risk of secondary freezing. By determining the period and parameter in this way, the subsequent processing of the temperature difference values is more accurate and efficient, thereby improving the accuracy of the secondary freezing judgment. This further enhances the reliability of the entire railway turnout snow melting power consumption adjustment method, ensures that the potential risk of secondary freezing can be identified in time and accurately during the train stationary period, and triggers short-time ice melting heating, effectively avoiding the safety hazards caused by ice layer stagnation in the turnout, while maintaining the energy-saving operation of the system under the premise of not affecting safety.

[0039] As an embodiment of the present application, according to the category information of the train and the environmental information of the specific turnout area, the step of calculating the period and the parameters includes: obtaining the load level information of the train; obtaining the environmental temperature information; according to the load level information of the train and the environmental temperature information, calculating the duration of the cumulative processing in time through a preset calculation rule; according to the load level information of the train and the environmental temperature information, calculating the weight distribution of the combination processing in space through a preset calculation rule.

[0040] The load level information of the train refers to the classification or quantification of the total weight or axle load of the train, which can be implemented by discrete level division or continuous numerical representation. Its purpose is to provide key input for evaluating the potential of snow compaction and ice layer formation under the train. The environmental temperature information refers to the ambient air temperature around the turnout area, which can be obtained from local weather stations, special temperature sensors installed near the turnout, or real-time weather data feeds. Its purpose is to indicate the thermal conditions that affect snow and ice melting and re-freezing. The preset calculation rule refers to a predefined logical framework or algorithm used to derive specific output values from given input data, which can be implemented as a set of conditional statements, lookup tables, or empirical formulas derived from experimental data or physical models. Its purpose is to achieve dynamic calculation of parameters to adapt to different conditions, rather than relying on fixed selection. The duration of the cumulative processing in time refers to the specific duration of aggregating or averaging multiple temperature difference values in a time series, which can be expressed in seconds, minutes, or number of data points. Its purpose is to determine the time window for evaluating temperature change stability and trends, which is crucial for identifying slowly forming ice layers. The weight distribution of the combination processing in space refers to the relative importance or influence degree of temperature difference values obtained from different spatial positions in the turnout area, which can be represented by a set of coefficients or percentages for each detection point. Its purpose is to ensure that key areas of the turnout (more prone to icing or more influential to operation) contribute more to the overall thermal state evaluation of the turnout.

[0041] The scheme of the present application overcomes the limitations of the traditional preset parameter set by dynamically calculating the period of time accumulation processing and the parameters of spatial combination processing. Specifically, the scheme first acquires the load level information of the train, because the load of the train directly affects the compaction degree of the snow in the turnout area, and then affects the formation speed and density of the ice layer; the higher the load level, the easier the snow is compacted, and the higher the risk of forming a high-density ice layer. At the same time, the scheme acquires the environmental temperature information, which directly affects the melting speed of ice and snow and the possibility of secondary freezing; the lower the temperature, the slower the melting speed of ice and snow, and the higher the risk of secondary freezing. It is because that the train load and the environmental temperature are the key factors affecting the ice and snow state of the turnout area, the present scheme can dynamically calculate the duration of time accumulation processing and the weight distribution of spatial combination processing based on these real-time information through the preset calculation rules. The dynamically calculated duration can consider the influence of load and temperature, adjust the time of accumulation processing, and thus more accurately reflect the actual icing condition of the turnout area. At the same time, the dynamically calculated weight distribution can adjust the weight of different temperature detection point data according to the influence of load and temperature, and thus more accurately reflect the overall heat transfer characteristics of the key area of the turnout. In this way, the calculated period and parameters are used for time accumulation processing and spatial combination processing of multiple temperature difference values. This processing method, combined with the temperature difference values calculated from the heating unit surface temperature and the turnout rail body reference temperature obtained in the previous scheme, can obtain a comprehensive temperature difference that more accurately reflects the overall heat transfer characteristics of the key area of the turnout. The accuracy improvement of the comprehensive temperature difference makes the subsequent step of judging whether there is secondary freezing in the turnout area more reliable, so as to more accurately trigger the short-time ice melting heating operation. Therefore, through the fine and dynamic calculation of the key parameters, the whole snow melting power consumption adjustment method can better adapt to the complex and changeable actual operating environment, effectively improves the accuracy of secondary freezing judgment, optimizes the power consumption control of the snow melting system, and ensures the safety of train operation.

[0042] As an embodiment of the present application, the step of calculating the duration of time accumulation processing includes: using a preset mathematical relationship; substituting the load level information of the train and the environmental temperature information into the mathematical relationship; calculating the duration of time accumulation processing according to the load level information of the train and the environmental temperature information substituted into the mathematical relationship.

[0043] The preset mathematical relationship is a mathematical model or function expression that is established in advance and used to describe the quantitative relationship between the input variables (train load level information, environmental temperature information) and the output variable (the duration of the cumulative processing in time). It can be implemented in the form of a polynomial function, an exponential function, a logarithmic function, a segmented function, or a function derived based on a machine learning model. The purpose is to provide a quantifiable calculation framework with accuracy to capture the complex nonlinear relationship between the train load level and the environmental temperature on the turnout area ice and snow freezing. The train load level information refers to the data representing the degree of vertical pressure exerted by the train on the track, which is usually associated with the total weight or axle weight of the train. It can be obtained through the train type (such as heavy freight train, light passenger train), the number of carriages, the type of goods, or directly through the axle weight sensor data. The purpose is to quantify the compaction effect of snow in the turnout area by the train, as the compaction degree directly affects the ice layer density and melting difficulty. The environmental temperature information refers to the temperature data of the air around the turnout area, which can be collected in real time through temperature sensors installed near the turnout area, or obtained from local temperature data from a weather station. The purpose is to reflect the external thermodynamic conditions of ice and snow melting and refreezing, as temperature is a key factor affecting the state of ice and snow. The duration of the cumulative processing in time refers to the time length required for the temperature difference value accumulation processing in the turnout area, which can be a specific numerical value or a dynamically adjusted period parameter. The purpose is to determine the range of temperature difference data integration in the time dimension to accurately reflect the dynamic process and potential risks of ice and snow freezing.

[0044] The scheme of the present application quantitatively associates the train load level information and the environmental temperature information by introducing a preset mathematical relationship, thereby realizing the calculation of the duration of the time accumulation processing. Specifically, when the system needs to determine the duration of the time accumulation processing of multiple temperature difference values, it no longer relies solely on simple table lookup or fixed rules, but first calls a pre-established mathematical model. This mathematical model is designed to reflect the comprehensive influence of train load level (for example, heavy load trains have stronger compaction effect on snow) and environmental temperature (for example, ice and snow are more difficult to melt at low temperature) on the freezing state of the switch area. Subsequently, the system inputs the current acquired train load level information and environmental temperature information into this mathematical relationship. Since this mathematical relationship can capture the complex nonlinear relationship between these factors, it can output a more detailed and dynamically adaptive duration to the current actual situation. It is precisely because of this mathematical relationship-based calculation that the subsequent time accumulation processing of multiple temperature difference values can use a duration that is more in line with the actual freezing risk. For example, in the case of a heavy load train staying in an extremely low temperature environment for a long time, the calculated duration will be correspondingly extended, thereby ensuring that in the subsequent detection mode, the accumulation processing of the temperature difference value between the heating unit and the switch rail body can fully capture the ice layer formation process caused by compaction and low temperature, and obtain a comprehensive temperature difference that reflects the overall heat transfer characteristics of the key area of the switch. This duration calculation enables the system to make a more reliable judgment when determining whether there is a secondary freezing, thereby avoiding false positives or false negatives. Ultimately, this enables the snow melting system to trigger short-term ice melting heating more timely and more finely, or to make more reasonable power adjustments in the pre-heating operation, thereby ensuring the safety of switch conversion while avoiding unnecessary energy waste. This method overcomes the problem of insufficient snow melting power adjustment in traditional schemes due to simple calculation rules, and improves the intelligence and adaptability of the snow melting system.

[0045] As shown in Figure 2 a power consumption adjustment system for railway switch snow melting, the system comprises: a state judgment module 201 for acquiring train information approaching a specific switch area, the train information including train category information and train running state information, and determining whether the train is in a stationary state in the specific switch area according to the train information; an instruction acquisition module 202 for maintaining the current running mode of the snow melting system during the stationary state of the train, and simultaneously acquiring train running instruction information from a dispatching system; a trigger judgment module 203 for determining whether to trigger a pre-heating operation on the specific switch area according to the train running instruction information; The power adjusting module 204 is configured to adjust the power of the heating unit of the specific turnout area to heat at a preset power within a preset time period when the pre-heating operation is triggered; The mode restoring module 205 is configured to restore the normal operation mode of the snow melting system after the preset time period ends or after the train leaves the specific turnout area.

[0046] The basic principles, main features and advantages of the present application are shown and described above. It should be understood by those skilled in the art that the present application is not limited to the above embodiments, and the above embodiments and descriptions in the specification are only the principles of the present application. Without departing from the spirit and scope of the present application, various changes and improvements can be made to the present application, and these changes and improvements all fall within the scope of the claimed present application.

Claims

1. A method for regulating power consumption for snow melting of railway switches, characterized in that, The method comprises the following steps: acquiring train information close to a specific turnout area, the train information including train category information and train running state information, and determining whether the train is in a static state in the specific turnout area according to the train information; maintaining a current operation mode of a snow melting system during the train is in the static state, and acquiring train running instruction information from a dispatching system at the same time; determining whether to trigger a pre-heating operation of the specific turnout area according to the train running instruction information; when the pre-heating operation is triggered, adjusting the power of a heating unit of the specific turnout area to heat at a preset power for a preset period of time; after the preset period of time ends or after the train leaves the specific turnout area, resuming a regular operation mode of the snow melting system.

2. The method of claim 1, wherein the power consumption is adjusted by, after the preset period of time of the pre-heating operation ends, if the train is still in the static state, the method further comprises: switching the operation mode of the snow melting system to a detection mode; in the detection mode, providing a detection power to the heating unit and monitoring the temperature change of the heating unit; determining whether secondary freezing exists in the specific turnout area according to the temperature change; if it is determined that secondary freezing exists, triggering a short-time ice melting heating; after the short-time ice melting heating is completed, returning to the detection mode until the train leaves the specific turnout area.

3. The method of claim 2, wherein the power consumption is adjusted by adjusting the frequency of the power supply. the step of determining whether secondary freezing exists in the specific turnout area according to the temperature change comprises: in the detection mode, providing a constant power to the heating unit; acquiring the surface temperature of the heating unit and the reference temperature of the turnout rail body; calculating the temperature difference between the heating unit and the turnout rail body according to the surface temperature and the reference temperature; determining a value representing the heat transfer capacity of the medium in the specific turnout area according to the temperature difference and the constant power; comparing the value with a preset value; if the value exceeds the preset value, it is determined that high-viscosity substances exist in the specific turnout area, and it is determined that secondary freezing exists in the specific turnout area accordingly.

4. The method of claim 3, wherein the power consumption is adjusted by changing the frequency of the power supply. the step of determining a value representing the heat transfer capacity of the medium in the specific turnout area according to the temperature difference and the constant power comprises: acquiring the surface temperature of the heating unit and the reference temperature of the turnout rail body at corresponding positions from multiple temperature detection points in the specific turnout area; calculating multiple temperature difference values between the heating unit and the turnout rail body according to the surface temperature of the heating unit and the reference temperature of the turnout rail body; performing time accumulation processing and spatial combination processing on the multiple temperature difference values; obtaining a comprehensive temperature difference reflecting the overall heat transfer characteristics of the key area of the turnout; determining a value representing the heat transfer capacity of the medium in the specific turnout area according to the comprehensive temperature difference and the constant power.

5. The method of claim 4, wherein the power consumption is adjusted by changing the frequency of the power supply. the step of performing time accumulation processing and spatial combination processing on the multiple temperature difference values comprises: acquiring the category information of the train and the environmental information of the specific turnout area; According to the category information of the train and the environmental information of the specific turnout area, a period of time accumulation processing and parameters of spatial combination processing are determined; According to the period and the parameters, a plurality of temperature difference values are accumulated in time and combined in space.

6. The method of claim 5, wherein the power consumption is adjusted by adjusting the frequency of the power supply. The step of determining the period of time accumulation processing and the parameters of spatial combination processing comprises: According to the category information of the train and the environmental information of the specific turnout area, a matching period and parameters are selected from a preset parameter set; Or, according to the category information of the train and the environmental information of the specific turnout area, the period and the parameters are calculated through a preset calculation relationship.

7. The method of claim 6, wherein the power consumption is adjusted by adjusting the frequency of the power supply. The step of selecting a matching period and parameters from a preset parameter set comprises: A corresponding relationship table containing train categories, environmental conditions, periods and parameters is constructed; The train category information and environmental information are obtained; According to the train category information and environmental information, a query is performed in the corresponding relationship table; The matching period and parameters are obtained.

8. The method of claim 6, wherein the power consumption is adjusted by adjusting the frequency of the power supply. The step of calculating the period and the parameters through a preset calculation relationship according to the category information of the train and the environmental information of the specific turnout area comprises: The load level information of the train is obtained; The environmental temperature information is obtained; According to the load level information of the train and the environmental temperature information, a duration of time accumulation processing is calculated through a preset calculation rule; According to the load level information of the train and the environmental temperature information, a weight distribution of spatial combination processing is calculated through a preset calculation rule.

9. The method of claim 8, wherein the power consumption is adjusted by adjusting the frequency of the power supply. The step of calculating the duration of time accumulation processing through a preset calculation rule comprises: A preset mathematical relationship is used; The load level information of the train and the environmental temperature information are substituted into the mathematical relationship; According to the load level information of the train and the environmental temperature information substituted into the mathematical relationship, the duration of time accumulation processing is calculated.

10. A power consumption regulating system for snow melting of railway switches, characterized in that The system comprises: A state judgment module is configured to obtain train information approaching a specific turnout area, wherein the train information comprises train category information and train running state information, and determine whether the train is in a stationary state in the specific turnout area according to the train information; An instruction obtaining module is configured to maintain a current operation mode of a snow melting system during the stationary state of the train, and obtain train running instruction information from a dispatching system; A trigger judgment module is configured to determine whether to trigger a pre-heating operation of the specific turnout area according to the train running instruction information; A power adjustment module is configured to adjust the power of a heating unit of the specific turnout area to a preset power within a preset time period when the pre-heating operation is triggered; A mode recovery module is configured to restore a normal operation mode of the snow melting system after the preset time period ends or after the train leaves the specific turnout area.

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