Rail-mounted area digital construction system and method

Abstract

The invention is suitable for the technical field of rail construction management, and provides a rail-mounted area digital construction system and method.The method comprises the steps that rail dynamic vibration characteristic data of controlled rail laying equipment in the working state are obtained, a defined time window is traced back, and the number of critical vibration event intervals in the defined time window is counted; and judging whether the number exceeds a preset threshold value or not, and if so, generating a vibration deviation correction factor according to a deviation value between the number and the preset threshold value. According to the method, the vibration deviation correction factor and the energy consumption deviation correction factor are combined, the track laying speed set value of the controlled track laying equipment is dynamically adjusted, the running state of the equipment can be effectively optimized, and the track construction quality and efficiency are improved.

Description

Technical Field

[0001] The present invention belongs to the technical field of track construction management, and particularly relates to a digital construction system and method for the track operation area. Background Art

[0002] In the existing track construction technology, the running speed of track-laying equipment is usually set by preset fixed parameters or the experience of operators. Although these methods can meet the basic construction requirements, it is difficult to dynamically adapt to complex construction environments (such as areas with frequent vibrations and large changes in energy consumption). Some equipment is equipped with vibration sensors or energy consumption monitoring devices, but most of them only have a single data acquisition function, lacking in-depth analysis of the linkage relationship between vibration and energy consumption, and are even less able to finely adjust the track-laying speed according to the real-time operating state. This traditional mode has significant limitations in terms of construction efficiency, track-laying quality, and equipment life.

[0003] Specifically, it is difficult to comprehensively consider the long-term impact of abnormal vibrations on track-laying in the current technology. High-frequency abnormal vibrations may not directly damage the track quality, but will cause premature wear of the mechanical components of the equipment and a decrease in operating efficiency under the cumulative effect. At the same time, the existing energy consumption monitoring technologies mainly focus on data recording, lacking the ability to analyze the correlation with the vibration state of the equipment, resulting in the inability to detect and optimize abnormal fluctuations in energy consumption during the construction process in a timely manner. Due to the lack of a unified dynamic adjustment mechanism, construction equipment often exhibits high-energy consumption and low-efficiency operating characteristics when facing complex construction environments. Summary of the Invention

[0004] The purpose of the present invention is to provide a digital construction system and method for the track operation area, aiming to solve the problems raised in the background art.

[0005] The present invention is implemented as follows. The digital construction method for the track operation area includes:

[0006] Obtain the track dynamic vibration characteristic data of the controlled track-laying equipment in the working state, trace back the defined time window and count the number of critical vibration event intervals therein, and determine whether this number exceeds a preset threshold. If it exceeds, generate a vibration deviation correction factor according to the deviation amount from the preset threshold;

[0007] Obtain the energy consumption log information of the controlled track-laying equipment within the defined time window, extract the average energy consumption value and the average track vibration amplitude value corresponding to each critical vibration event interval in combination with the track dynamic vibration characteristic data, and determine whether the change trends of the average energy consumption values and the average track vibration amplitude values of these critical vibration event intervals are consistent in the time series. If they are consistent, select a specific critical vibration event interval therefrom;

[0008] Obtain the operation parameter reference table and the current working condition of the controlled track-laying equipment, input the average value of the track vibration amplitude corresponding to a specific critical vibration event interval and the current working condition of the equipment into the operation parameter reference table to determine the corresponding theoretical standard energy consumption value, quantify the deviation between the average energy consumption of the specific critical vibration event interval and the theoretical standard energy consumption value, and generate an energy consumption deviation correction factor;

[0009] Obtain the current track-laying speed setting value of the controlled track-laying equipment, and comprehensively adjust the current track-laying speed setting value by combining the vibration deviation correction factor and the energy consumption deviation correction factor.

[0010] As a further limitation of the technical solution of the embodiment of the present invention, the critical vibration event interval refers to a vibration anomaly phenomenon in the track dynamic vibration characteristic data, where the vibration amplitude does not reach the set threshold affecting the track laying quality but falls within a specific range, and the vibration duration exceeds the preset minimum duration.

[0011] As a further limitation of the technical solution of the embodiment of the present invention, the steps of obtaining the energy consumption log information of the controlled track-laying equipment within the defined time window, extracting the average energy consumption and the average track vibration amplitude corresponding to each critical vibration event interval in combination with the track dynamic vibration characteristic data, and determining whether the change trends of the average energy consumption and the average track vibration amplitude of these critical vibration event intervals are consistent in the time series. If they are consistent, the steps of selecting a specific critical vibration event interval from them include:

[0012] According to the track dynamic vibration characteristic data, determine the time range of each critical vibration event interval;

[0013] Obtain the energy consumption log information of the controlled track-laying equipment within the defined time window, and calculate the average track vibration amplitude and the average energy consumption corresponding to each critical vibration event interval respectively in combination with the above time range;

[0014] Sort the average track vibration amplitude and the average energy consumption of all critical vibration event intervals in the time series;

[0015] Analyze whether the change trend of the sorted average energy consumption is consistent with the change trend of the average track vibration amplitude. If they are consistent, select one of the values with higher frequency and smaller difference from each other in the occurrence frequency of the average track vibration amplitude as the specific average track vibration amplitude, and determine the specific critical vibration event interval accordingly.

[0016] As a further limitation of the technical solution of the embodiment of the present invention, the operating parameter reference table refers to a parameter database that records and correlates the standard energy consumption range, track vibration characteristics, and corresponding operating conditions of the controlled track-laying equipment. This table can provide the theoretical standard energy consumption value of the controlled track-laying equipment under normal vibration conditions as a reference benchmark according to different working conditions of the controlled track-laying equipment.

[0017] As a further limitation of the technical solution of the embodiment of the present invention, the steps of obtaining the current track-laying speed setting value of the controlled track-laying equipment and comprehensively adjusting the current track-laying speed setting value in combination with the vibration deviation correction factor and the energy consumption deviation correction factor include:

[0018] Obtain the current track-laying speed setting value of the controlled track-laying equipment;

[0019] Retrieve the preset track-laying speed setting value correction formula, and comprehensively adjust the current track-laying speed setting value in combination with the vibration deviation correction factor and the energy consumption deviation correction factor to obtain the optimized track-laying speed setting value;

[0020] Apply the optimized track-laying speed setting value to the subsequent track-laying operation of the controlled track-laying equipment.

[0021] As a further limitation of the technical solution of the embodiment of the present invention, the track-laying speed setting value correction formula is: , where V new refers to the optimized track-laying speed setting value, V current refers to the current track-laying speed setting value, F v refers to the vibration deviation correction factor, W v refers to the adjustment coefficient of the vibration deviation correction factor, F e refers to the energy consumption deviation correction factor, F v refers to the adjustment coefficient of the energy consumption deviation correction factor.

[0022] As a further limitation of the technical solution of the embodiment of the present invention, in the track-laying speed setting value correction formula:

[0023] , where N actual refers to the number of critical vibration event intervals, N threshold refers to the preset threshold;

[0024] , where E actual refers to the average energy consumption of a specific critical vibration event interval, E reference refers to the theoretical standard energy consumption value.

[0025] Digital construction system for track operation area, the system includes: vibration deviation correction factor determination module, specific critical vibration event interval selection module, energy consumption deviation correction factor determination module and current track laying speed setting value adjustment module, where:

[0026] The vibration deviation correction factor determination module is used to obtain the track dynamic vibration characteristic data of the controlled track laying equipment in the working state, trace back the defined time window and count the number of critical vibration event intervals therein, determine whether the number exceeds the preset threshold, and if it exceeds, generate a vibration deviation correction factor according to the deviation amount from the preset threshold;

[0027] The critical vibration event interval is a vibration anomaly phenomenon in the track dynamic vibration characteristic data, where the vibration amplitude does not reach the set threshold affecting the track laying quality but falls within a specific range, and the vibration duration exceeds the preset minimum duration;

[0028] The specific critical vibration event interval selection module is used to obtain the energy consumption log information of the controlled track laying equipment within the defined time window, extract the average energy consumption value and the average track vibration amplitude value corresponding to each critical vibration event interval in combination with the track dynamic vibration characteristic data, and determine whether the change trends of the average energy consumption values and the average track vibration amplitude values of these critical vibration event intervals are consistent in the time series. If they are consistent, select a specific critical vibration event interval from them;

[0029] The energy consumption deviation correction factor determination module is used to obtain the operation parameter reference table and the current working condition of the controlled track laying equipment, input the average track vibration amplitude value corresponding to the specific critical vibration event interval and the current working condition of the equipment into the operation parameter reference table, determine the corresponding theoretical standard energy consumption value, quantify the deviation amount between the average energy consumption value of the specific critical vibration event interval and the theoretical standard energy consumption value, and generate an energy consumption deviation correction factor;

[0030] The operation parameter reference table refers to a parameter database that records and associates the standard energy consumption range, track vibration characteristics and corresponding operating conditions of the controlled track laying equipment in different operating states. This table can provide the theoretical standard energy consumption value of the controlled track laying equipment under normal vibration according to different working conditions of the controlled track laying equipment as a reference benchmark;

[0031] The current track laying speed setting value adjustment module is used to obtain the current track laying speed setting value of the controlled track laying equipment, and comprehensively adjust the current track laying speed setting value in combination with the vibration deviation correction factor and the energy consumption deviation correction factor.

[0032] As a further limitation of the technical solution of the embodiment of the present invention, the specific critical vibration event interval selection module specifically includes:

[0033] A time range determination unit, configured to determine the time range of each critical vibration event interval according to the track dynamic vibration characteristic data;

[0034] An average value calculation unit, configured to obtain the energy consumption log information of the controlled track laying equipment within a defined time window, and calculate the average track vibration amplitude and the average energy consumption corresponding to each critical vibration event interval respectively in combination with the above time range;

[0035] An average value sorting unit, configured to sort the average track vibration amplitudes and the average energy consumptions of all critical vibration event intervals in time series;

[0036] A specific critical vibration event interval determination unit, configured to analyze whether the change trend of the sorted average energy consumption is consistent with the change trend of the average track vibration amplitude. If they are consistent, one of the values with higher frequencies and smaller differences from each other is selected from the occurrence frequencies of the average track vibration amplitude as the specific average track vibration amplitude, and the specific critical vibration event interval is determined accordingly.

[0037] As a further limitation of the technical solution of the embodiment of the present invention, the current track laying speed setting value adjustment module specifically includes:

[0038] A current setting value acquisition unit, configured to acquire the current track laying speed setting value of the controlled track laying equipment;

[0039] A current setting value adjustment unit, configured to retrieve a preset track laying speed setting value correction formula, and comprehensively adjust the current track laying speed setting value in combination with a vibration deviation correction factor and an energy consumption deviation correction factor to obtain an optimized track laying speed setting value;

[0040] An optimized setting value application unit, configured to apply the optimized track laying speed setting value to the subsequent track laying operation of the controlled track laying equipment;

[0041] The track laying speed setting value correction formula is: , where V new refers to the optimized track laying speed setting value, V current refers to the current track laying speed setting value, F v refers to the vibration deviation correction factor, W v refers to the adjustment coefficient of the vibration deviation correction factor, F e refers to the energy consumption deviation correction factor, F v refers to the adjustment coefficient of the energy consumption deviation correction factor;

[0042] In the track laying speed setting value correction formula:

[0043] , where N actual refers to the number of critical vibration event intervals, Nthreshold Refers to the preset threshold;

[0044] , where E actual Refers to the average energy consumption in a specific critical vibration event interval, E reference Refers to the theoretical standard energy consumption value.

[0045] Compared with the prior art, the present invention has the following beneficial effects:

[0046] The present invention dynamically adjusts the track laying speed setting value of the controlled track laying equipment by combining the vibration deviation correction factor and the energy consumption deviation correction factor, which can effectively optimize the operating state of the equipment and improve the quality and efficiency of track construction. The introduction of the vibration deviation correction factor enables the system to identify and respond to abnormal vibrations in real time, reducing the negative impact of vibration on the track laying quality and equipment life; the addition of the energy consumption deviation correction factor further considers the energy consumption fluctuations that may be caused by abnormal vibrations, and effectively reduces energy waste and improves the energy efficiency of equipment operation by optimizing the speed setting. The present invention achieves the technical effect of 1+1 greater than 2 through the linkage optimization of dual factors, enabling the equipment to operate stably in a complex construction environment while taking into account the goals of high efficiency and low energy consumption.

[0047] In addition, the operating parameter reference table provided by the present invention combines the equipment working conditions and vibration characteristics to dynamically match the optimal theoretical standard energy consumption value, providing a scientific basis for the calculation of the correction factor, thereby ensuring the accuracy and rationality of the adjustment result. Compared with the prior art, the present invention significantly improves the intelligent level of equipment operation during the construction process, extends the service life of the equipment, reduces maintenance costs, and provides a more reliable and efficient solution for the rail construction industry. BRIEF DESCRIPTION OF THE DRAWINGS

[0048] Figure 1 A flowchart of a method provided by an embodiment of the present invention;

[0049] Figure 2 A flow chart of determining a specific critical vibration event interval based on track dynamic vibration characteristic data and energy consumption log information in a method provided in an embodiment of the present invention;

[0050] Figure 3 A flow chart of adjusting a current track laying speed setting value of a controlled track laying device in a method provided in an embodiment of the present invention;

[0051] Figure 4 An application architecture diagram of a system provided by an embodiment of the present invention;

[0052] Figure 5 A structural block diagram of a specific critical vibration event interval selection module in a system provided by an embodiment of the present invention;

[0053] Figure 6 It is a structural block diagram of the current track laying speed setting value adjustment module in the system provided by the embodiment of the present invention. Specific implementation manners

[0054] In order to make the objectives, technical solutions and advantages of the present invention clearer and more understandable, the present invention will be further described in detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain the present invention and are not used to limit the present invention.

[0055] Figure 1 It shows a flowchart of the method provided by the embodiment of the present invention.

[0056] Specifically, a digital construction method for the track operation area, the method specifically includes the following steps:

[0057] Step S100, obtain the track dynamic vibration characteristic data of the controlled track laying equipment in the working state, trace back the defined time window and count the number of critical vibration event intervals therein, judge whether the number exceeds a preset threshold, if it exceeds, generate a vibration deviation correction factor according to the deviation amount from the preset threshold.

[0058] The critical vibration event interval is a vibration anomaly phenomenon in the track dynamic vibration characteristic data, where the vibration amplitude does not reach the set threshold affecting the track laying quality but falls within a specific range, and the vibration duration exceeds the preset minimum duration.

[0059] In the embodiment of the present invention, the controlled track laying equipment refers to the track laying mechanical equipment that can realize dynamic monitoring and intelligent control during the construction process in the track operation area, including but not limited to automatic track laying machines, track adjustment equipment, etc. These devices are usually equipped with high-precision vibration sensors, load sensors and energy consumption monitoring devices, which can collect vibration, load and energy consumption data during the operation of the equipment in real time. These data are used to analyze the state of the equipment during the construction process and provide a basis for speed adjustment and quality control. The core function of the equipment is to achieve efficient and safe track laying through data collection and intelligent feedback.

[0060] The acquisition of the track dynamic vibration characteristic data is completed by the high-precision vibration sensors installed on the track laying equipment. These sensors can collect information such as vibration amplitude, vibration frequency and time distribution at a high frequency. These data are transmitted to the central control system or the edge computing terminal through the communication module of the equipment for real-time analysis and anomaly detection. The significance of obtaining the vibration characteristic data is that it can reflect the dynamic interaction between the equipment and the track during the track laying process, help identify potential abnormal vibration events, and provide data support for optimizing the construction process.

[0061] The purpose of retrospectively defining a time window is to capture the trend of changes in vibration characteristics by analyzing vibration data over a period of time. This can avoid misjudgments caused by instantaneous vibration events or occasional interference and improve the reliability of anomaly detection. The basis for defining a time window is usually related to the construction cycle and equipment operation characteristics, such as the data cycle after the equipment completes a section of track laying and before entering the next section of construction. In addition, the appropriate time window length can also be determined based on the duration characteristics of the vibration event, combined with historical experience and engineering requirements.

[0062] The significance of judging whether the number of critical vibration event intervals exceeds the preset threshold is to determine whether the track laying equipment is operating in a stable state by measuring the frequency of abnormal vibration. Too much abnormal vibration may indicate that unsuitable operating conditions have appeared in the track construction area, such as loose geology, equipment overload or improper operation. When the number exceeds the threshold, a vibration deviation correction factor is generated according to the deviation from the preset threshold. The correction factor dynamically adjusts the track laying speed to reduce the impact of vibration frequency on the equipment, thereby extending the equipment life and improving the track construction quality.

[0063] The purpose of studying the critical vibration event interval is to solve the potential hazards that frequent vibration may cause to equipment and tracks during construction. These hazards include premature wear of equipment parts and components, and degradation of track laying quality caused by vibration accumulation. By studying the critical vibration event interval, these potential problems can be warned and dealt with in advance, thereby optimizing equipment operation efficiency and construction results.

[0064] The critical vibration event interval is defined in the track dynamic vibration characteristic data as: the vibration amplitude does not reach the set threshold value that directly affects the track laying quality, but is a continuous vibration within a specific range, and the vibration duration exceeds the preset minimum duration. The basis for its setting includes three aspects: First, the specific range of vibration amplitude needs to be determined based on the mechanical characteristics of the equipment operation and the track construction quality standards to ensure that the identified vibration will not be misjudged due to random fluctuations; second, the setting of the minimum duration needs to refer to the equipment vibration mode and the time characteristics of the track construction process to avoid short-term vibration interference with the results; third, combined with the actual construction environment (such as geological conditions and equipment types), adjust the parameter range of the identification interval to make it highly matched with the actual application. Through these settings, it can be ensured that the definition of the critical vibration event interval is scientific and reasonable, which is convenient for subsequent analysis and correction control.

[0065] Furthermore, the digital construction method for the track area also includes the following steps:

[0066] Step S200: Obtain the energy consumption log information of the controlled track-laying equipment within the defined time window. Combine the track dynamic vibration characteristic data to extract the average energy consumption and the average track vibration amplitude corresponding to each critical vibration event interval. Determine whether the change trends of the average energy consumption and the average track vibration amplitude in these critical vibration event intervals are consistent in the time series. If they are consistent, then select a specific critical vibration event interval from them.

[0067] Specifically, Figure 2 Fig. shows a flowchart for determining a specific critical vibration event interval based on the track dynamic vibration characteristic data and the energy consumption log information.

[0068] Among them, obtaining the energy consumption log information of the controlled track-laying equipment within the defined time window, combining the track dynamic vibration characteristic data to extract the average energy consumption and the average track vibration amplitude corresponding to each critical vibration event interval, determining whether the change trends of the average energy consumption and the average track vibration amplitude in these critical vibration event intervals are consistent in the time series, and if they are consistent, then selecting a specific critical vibration event interval specifically includes the following steps:

[0069] Step S201: Determine the time range of each critical vibration event interval according to the track dynamic vibration characteristic data;

[0070] Step S202: Obtain the energy consumption log information of the controlled track-laying equipment within the defined time window, and combine the above time range to calculate the average track vibration amplitude and the average energy consumption corresponding to each critical vibration event interval respectively;

[0071] Step S203: Sort the average track vibration amplitude and the average energy consumption of all critical vibration event intervals according to the time series;

[0072] Step S204: Analyze whether the change trend of the sorted average energy consumption is consistent with the change trend of the average track vibration amplitude. If they are consistent, then select one of the values with a higher frequency and a smaller difference from each other in the occurrence frequency of the average track vibration amplitude as the specific average track vibration amplitude, and determine the specific critical vibration event interval accordingly.

[0073] In the embodiments of the present invention, when the controlled track-laying equipment is operating, the energy consumption log information and the track dynamic vibration characteristic data within a defined time window are obtained through its sensor module. The energy consumption log information includes the actual energy consumption values of the track-laying equipment at different time points, such as power, current, or fuel consumption. The track dynamic vibration characteristic data includes the vibration amplitude and frequency changes at different time points. Combining the identified critical vibration event intervals in the track dynamic vibration characteristic data, the time range of each event interval is extracted to screen the data corresponding to the corresponding time period from the energy consumption log. The average values of the vibration data and the energy consumption data for each critical vibration event interval are calculated respectively, and noise points are removed during the calculation process. Methods such as moving window averaging or median filtering are used to improve the data accuracy.

[0074] Sort the average vibration amplitudes and the average energy consumptions corresponding to each critical vibration event interval according to the time series. A line chart can intuitively display the change trends of these data. The vibration amplitude and energy consumption data are plotted as two independent curves to compare their peaks, trend change directions, and change amplitudes. If the trends of the two curves are basically the same, for example, the distribution and time points of the peaks and valleys coincide, it can be judged that the change trends of the two are the same. In addition to the line chart, methods such as correlation analysis (such as Pearson correlation coefficient) and dynamic time warping (DTW) can also be used to quantitatively compare the change trends of the two.

[0075] Select the values with higher frequencies and smaller differences from each other as the average values of the specific track vibration amplitudes, and determine the specific critical vibration event intervals accordingly. Its significance lies in extracting the most representative data points from numerous vibration events for subsequent analysis and optimal control. By screening the values with higher frequencies, the most common and stable vibration modes can be reflected. By ensuring smaller differences, the influence of outliers on the final selection is avoided, thereby improving the reliability and applicability of the analysis results. The basis of this method is that the vibration modes with higher frequencies and stability are more likely to be related to the operating characteristics of the equipment and have practical guiding significance for adjusting the track-laying speed.

[0076] Furthermore, the digital construction method for the track section further includes the following steps:

[0077] Step S300: Obtain the operation parameter reference table and the current working condition of the controlled track-laying equipment, input the average value of the track vibration amplitude corresponding to the specific critical vibration event interval and the current working condition of the equipment into the operation parameter reference table to determine the corresponding theoretical standard energy consumption value, quantify the deviation between the average energy consumption value of the specific critical vibration event interval and the theoretical standard energy consumption value, and generate an energy consumption deviation correction factor.

[0078] The operation parameter reference table refers to a parameter database that records and correlates the standard energy consumption range, track vibration characteristics, and corresponding operating conditions of the controlled track-laying equipment. This table can provide the theoretical standard energy consumption value of the controlled track-laying equipment under normal vibration conditions according to different working conditions of the controlled track-laying equipment, serving as a reference benchmark.

[0079] In the embodiment of the present invention, the significance of quantifying the deviation between the average energy consumption value in a specific critical vibration event interval and the theoretical standard energy consumption value and generating an energy consumption deviation correction factor is to provide a quantitative index to measure the energy consumption deviation degree of the track-laying equipment under abnormal vibration conditions. This deviation directly reflects the impact of abnormal vibration on the energy consumption efficiency of the equipment. By generating the correction factor, the operating parameters of the track-laying equipment, such as the track-laying speed or other control variables, can be dynamically adjusted to reduce the adverse impact of abnormal vibration on energy consumption. This adjustment mechanism can significantly improve the construction efficiency, reduce energy waste, and protect the equipment from damage caused by long-term abnormal vibration, thereby extending the service life of the equipment and reducing the maintenance cost. In addition, as a dynamic index, the energy consumption deviation correction factor can help the system optimize the operation strategy in real time and improve the reliability and intelligent level of the entire construction process.

[0080] The operation parameter reference table is a core parameter database used to correlate the standard energy consumption range, track vibration characteristics, and corresponding operating conditions of the controlled track-laying equipment. This table includes the following key contents: First, the operation modes and working condition classifications of the controlled track-laying equipment, such as low-speed mode, medium-speed mode, and high-speed mode, as well as the equipment load and environmental adaptability under different working conditions; Second, the specific values of the standard energy consumption range, which are the theoretical energy consumption values obtained through a large number of experiments or long-term data accumulation under normal vibration conditions and cover the reference data under different track construction environments and conditions; Third, the track vibration characteristic parameters, which record the vibration amplitude range, frequency characteristics, and their influence weights on energy consumption under various working conditions; Fourth, the environmental correction factor, such as the adjustment coefficients of temperature, humidity, and geological conditions on energy consumption. Through these contents, the operation parameter reference table can dynamically match the best energy consumption benchmark value in the current construction state and provide a reliable reference basis for the quantification and correction of energy consumption deviation.

[0081] The perfection of this parameter table is reflected in that it not only records the standard data but also includes the dynamic adaptation ability to complex environments and diverse working conditions of the equipment, providing comprehensive support for optimizing control strategies during the track construction process. By combining real-time data and the content of the reference table, it can ensure that the construction equipment maintains an efficient and stable operating state under various environments and conditions.

[0082] Furthermore, the digital construction method for the track operation area further includes the following steps:

[0083] Step S400: Obtain the current set value of the laying speed of the controlled track-laying equipment, and comprehensively adjust the current set value of the laying speed by combining the vibration deviation correction factor and the energy consumption deviation correction factor.

[0084] Specifically, Figure 3 Fig. shows a flowchart for adjusting the current set value of the laying speed of the controlled track-laying equipment.

[0085] Among them, obtaining the current set value of the laying speed of the controlled track-laying equipment, and comprehensively adjusting the current set value of the laying speed by combining the vibration deviation correction factor and the energy consumption deviation correction factor specifically includes the following steps:

[0086] Step S401: Obtain the current set value of the laying speed of the controlled track-laying equipment;

[0087] Step S402: Retrieve the preset correction formula for the set value of the laying speed, and comprehensively adjust the current set value of the laying speed by combining the vibration deviation correction factor and the energy consumption deviation correction factor to obtain the optimized set value of the laying speed;

[0088] Step S403: Apply the optimized set value of the laying speed to the subsequent track-laying operation of the controlled track-laying equipment.

[0089] The correction formula for the set value of the laying speed is: , where V new refers to the optimized set value of the laying speed, V current refers to the current set value of the laying speed, F v refers to the vibration deviation correction factor, W v refers to the adjustment coefficient of the vibration deviation correction factor, F e refers to the energy consumption deviation correction factor, F v refers to the adjustment coefficient of the energy consumption deviation correction factor.

[0090] In the correction formula for the set value of the laying speed:

[0091] , where N actual refers to the number of critical vibration event intervals, N threshold refers to the preset threshold;

[0092] , where E actual refers to the average energy consumption of a specific critical vibration event interval, E reference refers to the theoretical standard energy consumption value.

[0093] In an embodiment of the present invention, the significance of comprehensively adjusting the current track-laying speed setting value in combination with the vibration deviation correction factor and the energy consumption deviation correction factor is that, through a multi-dimensional optimization mechanism, the operating status of the track-laying equipment is comprehensively analyzed and dynamically adjusted. The vibration deviation correction factor can directly reflect the mechanical impact of abnormal vibration on the equipment and the track, while the energy consumption deviation correction factor considers the problem from the perspective of energy utilization. Since abnormal energy consumption fluctuations may be caused by abnormal vibrations in many cases, for example, frequent vibrations will increase the energy consumption load during equipment operation, and even lead to a decrease in energy utilization efficiency, the energy consumption deviation correction factor is introduced on the basis of the vibration deviation correction factor in order to verify and further refine the optimization process from another perspective. This dual correction mechanism can not only capture abnormal phenomena more accurately, but also avoid the local optimal phenomenon caused by the adjustment of a single factor, and achieve more comprehensive equipment operation optimization.

[0094] Through the linkage of the two correction factors of vibration and energy consumption, the technical effect of 1+1 greater than 2 can be achieved. On the one hand, vibration deviation correction can reduce the mechanical impact of equipment operation and fundamentally reduce the impact of vibration on energy consumption fluctuations; on the other hand, energy consumption deviation correction can further optimize the energy efficiency of equipment and improve the economy and sustainability of construction as a whole. The two factors complement each other and work synergistically, making equipment operation more stable and construction efficiency higher.

[0095] In an actual construction scenario, assume that the current track laying speed of the controlled track laying equipment is set to 25 meters per minute. The equipment sensors collected the vibration and energy consumption data of the last 10 minutes. Analysis found that 15 critical vibration event intervals occurred during this period, while the system's preset threshold was 10. The vibration deviation correction factor calculated in this way is positive, indicating that the current track laying speed may be too fast and the speed needs to be reduced to reduce the cumulative effect of vibration. At the same time, the actual energy consumption average extracted from the energy consumption log shows that the equipment energy consumption during this period is 8% higher than the standard energy consumption value in the operating parameter reference table. Further analysis shows that this abnormal energy consumption fluctuation is highly correlated with frequent vibration events, that is, abnormal vibration increases the equipment load, resulting in abnormal fluctuations in energy consumption.

[0096] In order to comprehensively optimize the equipment operation status, the system adjusts the track laying speed setting value by calling the preset track laying speed correction formula, taking into account the vibration deviation correction factor and the energy consumption deviation correction factor. The adjusted speed is reduced from 25 meters per minute to 22 meters per minute and is immediately applied to the subsequent operation of the equipment. The optimized operation data shows that the number of critical vibration events has been reduced to 8, and the energy consumption of the equipment has returned to the standard range, indicating that the adjustment has effectively reduced the impact of vibration on the equipment and optimized energy efficiency.

[0097] This adjustment not only solves the single problems of vibration and energy consumption, but also significantly improves the operating state of the equipment through the linkage optimization of the two. Finally, the quality of track laying is improved, the service life of the equipment is extended, the construction energy consumption is reduced, and the overall construction efficiency is increased. Through the optimization mechanism of two-factor coordination, the system has stronger adaptability and intelligent level in the dynamic construction environment.

[0098] Furthermore, Figure 4 The application architecture diagram of the system provided by the embodiment of the present invention is shown.

[0099] Among them, in another preferred embodiment provided by the present invention, a digital construction system for the track operation area includes:

[0100] A vibration deviation correction factor determination module 100, configured to obtain the track dynamic vibration characteristic data of the controlled track laying equipment in the working state, trace back to the defined time window and count the number of critical vibration event intervals therein, determine whether the number exceeds a preset threshold, and if it exceeds, generate a vibration deviation correction factor according to the deviation amount from the preset threshold.

[0101] The critical vibration event interval is a vibration anomaly phenomenon in the track dynamic vibration characteristic data, where the vibration amplitude does not reach the set threshold affecting the track laying quality but falls within a specific range, and the vibration duration exceeds the preset minimum duration.

[0102] In the embodiment of the present invention, the controlled track laying equipment refers to the track laying mechanical equipment that can realize dynamic monitoring and intelligent control during the construction process in the track operation area, including but not limited to automatic track laying machines, track adjustment equipment, etc. These devices are usually equipped with high-precision vibration sensors, load sensors, and energy consumption monitoring devices, which can collect vibration, load, and energy consumption data during the operation of the equipment in real time. These data are used to analyze the state of the equipment during the construction process and provide a basis for speed adjustment and quality control. The core function of the equipment is to realize efficient and safe track laying through data collection and intelligent feedback.

[0103] The acquisition of the track dynamic vibration characteristic data is completed by the high-precision vibration sensors installed on the track laying equipment. These sensors can collect information such as vibration amplitude, vibration frequency, and time distribution at a high frequency. These data are transmitted to the central control system or the edge computing terminal through the communication module of the equipment for real-time analysis and anomaly detection. The significance of obtaining the vibration characteristic data is that it can reflect the dynamic interaction between the equipment and the track during the track laying process, help identify potential abnormal vibration events, and provide data support for optimizing the construction process.

[0104] The purpose of retrospectively defining a time window is to capture the trend of changes in vibration characteristics by analyzing vibration data over a period of time. This can avoid misjudgments caused by instantaneous vibration events or occasional interference and improve the reliability of anomaly detection. The basis for defining a time window is usually related to the construction cycle and equipment operation characteristics, such as the data cycle after the equipment completes a section of track laying and before entering the next section of construction. In addition, the appropriate time window length can also be determined based on the duration characteristics of the vibration event, combined with historical experience and engineering requirements.

[0105] The significance of judging whether the number of critical vibration event intervals exceeds the preset threshold is to determine whether the track laying equipment is operating in a stable state by measuring the frequency of abnormal vibration. Too much abnormal vibration may indicate that unsuitable operating conditions have appeared in the track construction area, such as loose geology, equipment overload or improper operation. When the number exceeds the threshold, a vibration deviation correction factor is generated according to the deviation from the preset threshold. The correction factor dynamically adjusts the track laying speed to reduce the impact of vibration frequency on the equipment, thereby extending the equipment life and improving the track construction quality.

[0106] The purpose of studying the critical vibration event interval is to solve the potential hazards that frequent vibration may cause to equipment and tracks during construction. These hazards include premature wear of equipment parts and components, and degradation of track laying quality caused by vibration accumulation. By studying the critical vibration event interval, these potential problems can be warned and dealt with in advance, thereby optimizing equipment operation efficiency and construction results.

[0107] The critical vibration event interval is defined in the track dynamic vibration characteristic data as: the vibration amplitude does not reach the set threshold value that directly affects the track laying quality, but is a continuous vibration within a specific range, and the vibration duration exceeds the preset minimum duration. The basis for its setting includes three aspects: First, the specific range of vibration amplitude needs to be determined based on the mechanical characteristics of the equipment operation and the track construction quality standards to ensure that the identified vibration will not be misjudged due to random fluctuations; second, the setting of the minimum duration needs to refer to the equipment vibration mode and the time characteristics of the track construction process to avoid short-term vibration interference with the results; third, combined with the actual construction environment (such as geological conditions and equipment types), adjust the parameter range of the identification interval to make it highly matched with the actual application. Through these settings, it can be ensured that the definition of the critical vibration event interval is scientific and reasonable, which is convenient for subsequent analysis and correction control.

[0108] Furthermore, the track area digital construction system also includes:

[0109] A specific critical vibration event interval selection module 200 is used to obtain the energy consumption log information of the controlled track-laying equipment within a defined time window, and combine the track dynamic vibration characteristic data to extract the average energy consumption value and the average track vibration amplitude value corresponding to each critical vibration event interval, and determine whether the change trends of the average energy consumption values and the average track vibration amplitude values of these critical vibration event intervals are consistent in the time series. If they are consistent, then a specific critical vibration event interval is selected from them.

[0110] Specifically, Figure 5 Fig. shows the structural block diagram of the specific critical vibration event interval selection module 200 in the system provided by the embodiment of the present invention.

[0111] Among them, in the preferred embodiment provided by the present invention, the specific critical vibration event interval selection module 200 specifically includes:

[0112] A time range determination unit 201 is used to determine the time range of each critical vibration event interval according to the track dynamic vibration characteristic data;

[0113] An average value calculation unit 202 is used to obtain the energy consumption log information of the controlled track-laying equipment within a defined time window, and combine the above time range to calculate the average track vibration amplitude value and the average energy consumption value corresponding to each critical vibration event interval respectively;

[0114] An average value sorting unit 203 is used to sort the average track vibration amplitude values and the average energy consumption values of all critical vibration event intervals according to the time series;

[0115] A specific critical vibration event interval determination unit 204 is used to analyze whether the change trends of the sorted average energy consumption values and the average track vibration amplitude values are consistent. If they are consistent, then one of the values with higher frequencies and smaller differences from each other is selected from the occurrence frequencies of the average track vibration amplitude values as the specific average track vibration amplitude value, and the specific critical vibration event interval is determined accordingly.

[0116] In the embodiment of the present invention, when the controlled track-laying equipment is running, the energy consumption log information and the track dynamic vibration characteristic data within a defined time window are obtained through its sensor module. The energy consumption log information includes the actual energy consumption values of the track-laying equipment at different time points, such as power, current or fuel consumption, and the track dynamic vibration characteristic data includes the vibration amplitude and frequency changes at different time points. Combining the identified critical vibration event intervals in the track dynamic vibration characteristic data, the time range of each event interval is extracted to screen the data corresponding to the corresponding time period from the energy consumption log. The average values of the vibration data and the energy consumption data of each critical vibration event interval are calculated respectively, and noise points are removed during the calculation process, and methods such as moving window average or median filtering are used to improve the data accuracy.

[0117] Sort the average vibration amplitude and average energy consumption corresponding to each critical vibration event interval according to the time series. A line chart can intuitively display the change trends of these data. Plot the vibration amplitude and energy consumption data as two independent curves, and compare their peak values, trend change directions, and change amplitudes. If the trends of the two curves are basically the same, for example, the distributions and time points of the peak and valley values coincide, it can be judged that the change trends of the two are the same. In addition to the line chart, methods such as correlation analysis (such as Pearson correlation coefficient) and dynamic time warping (DTW) can also be used to quantitatively compare the change trends of the two.

[0118] Select values with higher frequencies and smaller differences from each other as the average value of the specific track vibration amplitude, and determine the specific critical vibration event interval accordingly. The significance lies in extracting the most representative data points from numerous vibration events for subsequent analysis and optimization control. By screening values with higher frequencies, the most common and stable vibration modes can be reflected; by ensuring smaller differences, the influence of outliers on the final selection is avoided, thereby improving the reliability and applicability of the analysis results. The basis of this method is that vibration modes with higher frequencies and stability are more likely to be related to the operating characteristics of the equipment and have practical guiding significance for adjusting the track-laying speed.

[0119] Furthermore, the digital construction system for the track operation area further includes:

[0120] An energy consumption deviation correction factor determination module 300, which is used to obtain the operation parameter reference table and the current working condition of the controlled track-laying equipment, input the average value of the track vibration amplitude corresponding to the specific critical vibration event interval and the current working condition of the equipment into the operation parameter reference table, determine the corresponding theoretical standard energy consumption value, quantify the deviation between the average energy consumption value of the specific critical vibration event interval and the theoretical standard energy consumption value, and generate an energy consumption deviation correction factor.

[0121] The operation parameter reference table refers to a parameter database that records and correlates the standard energy consumption range, track vibration characteristics, and corresponding operating conditions of the controlled track-laying equipment under different operating states. This table can provide the theoretical standard energy consumption value of the controlled track-laying equipment under normal vibration conditions according to different working conditions of the controlled track-laying equipment as a reference benchmark.

[0122] In the embodiments of the present invention, the significance of quantifying the deviation between the average energy consumption value in a specific critical vibration event interval and the theoretical standard energy consumption value and generating an energy consumption deviation correction factor is to provide a quantitative index to measure the energy consumption deviation degree of the track laying equipment under abnormal vibration conditions. This deviation directly reflects the impact of abnormal vibration on the energy consumption efficiency of the equipment. By generating the correction factor, the operating parameters of the track laying equipment, such as the track laying speed or other control variables, can be dynamically adjusted to reduce the adverse impact of abnormal vibration on energy consumption. This adjustment mechanism can significantly improve the construction efficiency, reduce energy waste, and protect the equipment from damage caused by long-term abnormal vibration, thereby extending the service life of the equipment and reducing the maintenance cost. In addition, as a dynamic index, the energy consumption deviation correction factor can help the system optimize the operating strategy in real time and improve the reliability and intelligent level of the entire construction process.

[0123] The operating parameter reference table is a core parameter database used to associate the standard energy consumption range, track vibration characteristics, and corresponding operating conditions of the controlled track laying equipment in different operating states. This table contains the following key contents: First, the operating modes and working condition classifications of the controlled track laying equipment, such as low-speed mode, medium-speed mode, and high-speed mode, as well as the equipment load and environmental adaptability under different working conditions; Second, the specific values of the standard energy consumption range, which are the theoretical energy consumption values obtained through a large number of experiments or long-term data accumulation under normal vibration conditions and cover the reference data under different track construction environments and conditions; Third, the track vibration characteristic parameters, which record the vibration amplitude range, frequency characteristics, and their influence weights on energy consumption under various working conditions; Fourth, the environmental correction factor, such as the adjustment coefficients of temperature, humidity, and geological conditions on energy consumption. Through these contents, the operating parameter reference table can dynamically match the best energy consumption benchmark value in the current construction state and provide a reliable reference basis for the quantification and correction of energy consumption deviation.

[0124] The perfection of this parameter table is reflected in that it not only records the standard data but also includes the dynamic adaptation ability to complex environments and diverse working conditions of the equipment, providing comprehensive support for optimizing control strategies during the track construction process. By combining real-time data and the content of the reference table, it can ensure that the construction equipment maintains an efficient and stable operating state under various environments and conditions.

[0125] Furthermore, the digital construction system for the track running area further includes:

[0126] The current track laying speed setting value adjustment module 400 is used to obtain the current track laying speed setting value of the controlled track laying equipment, and comprehensively adjust the current track laying speed setting value by combining the vibration deviation correction factor and the energy consumption deviation correction factor.

[0127] Specifically, Figure 6The structural block diagram of the current track-laying speed setting value adjustment module 400 in the system provided by the embodiment of the present invention is shown.

[0128] Among them, in the preferred embodiment provided by the present invention, the current track-laying speed setting value adjustment module 400 specifically includes:

[0129] The current setting value acquisition unit 401 is used to acquire the current track-laying speed setting value of the controlled track-laying equipment;

[0130] The current setting value adjustment unit 402 is used to retrieve the preset track-laying speed setting value correction formula, and in combination with the vibration deviation correction factor and the energy consumption deviation correction factor, comprehensively adjust the current track-laying speed setting value to obtain the optimized track-laying speed setting value;

[0131] The optimized setting value application unit 403 is used to apply the optimized track-laying speed setting value to the subsequent track-laying operation of the controlled track-laying equipment;

[0132] The track-laying speed setting value correction formula is: , where V new refers to the optimized track-laying speed setting value, V current refers to the current track-laying speed setting value, F v refers to the vibration deviation correction factor, W v refers to the adjustment coefficient of the vibration deviation correction factor, F e refers to the energy consumption deviation correction factor, F v refers to the adjustment coefficient of the energy consumption deviation correction factor;

[0133] In the track-laying speed setting value correction formula:

[0134] , where N actual refers to the number of critical vibration event intervals, N threshold refers to the preset threshold;

[0135] , where E actual refers to the average energy consumption of a specific critical vibration event interval, E reference refers to the theoretical standard energy consumption value.

[0136] In the embodiments of the present invention, the significance of comprehensively adjusting the current track laying speed setting value by combining the vibration deviation correction factor and the energy consumption deviation correction factor lies in comprehensively analyzing and dynamically adjusting the operating state of the track laying equipment through a multi-dimensional optimization mechanism. The vibration deviation correction factor can directly reflect the mechanical impact of abnormal vibration on the equipment and the track, while the energy consumption deviation correction factor considers the problem from the perspective of energy utilization. Since abnormal energy consumption fluctuations may be caused by abnormal vibration in many cases. For example, frequent vibration will increase the energy consumption load during equipment operation and even lead to a decrease in energy utilization efficiency. Therefore, introducing the energy consumption deviation correction factor on the basis of the vibration deviation correction factor is to verify and further refine the optimization process from another perspective. This dual correction mechanism can not only capture abnormal phenomena more accurately but also avoid the local optimum phenomenon caused by single-factor adjustment, achieving more comprehensive optimization of equipment operation.

[0137] Through the linkage of the two correction factors of vibration and energy consumption, a technical effect of 1 + 1 > 2 can be achieved. On the one hand, vibration deviation correction can reduce the mechanical impact during equipment operation and fundamentally reduce the impact of vibration on energy consumption fluctuations; on the other hand, energy consumption deviation correction can further optimize the energy efficiency of the equipment and improve the economy and sustainability of construction as a whole. The two factors complement each other and work together to make the equipment operation more stable and the construction efficiency higher.

[0138] In an actual construction scenario, assume that the current track laying speed of the controlled track laying equipment is set at 25 meters per minute. The equipment sensors collect vibration and energy consumption data for the most recent 10 minutes and analyze that 15 critical vibration event intervals occurred during this period, while the preset threshold of the system is 10. From this, the calculated vibration deviation correction factor is positive, indicating that the current track laying speed may be too fast and the speed needs to be reduced to reduce the cumulative effect of vibration. At the same time, the actual average energy consumption extracted from the energy consumption log shows that the equipment energy consumption during this period is 8% higher than the standard energy consumption value in the operation parameter reference table. Further analysis shows that this abnormal energy consumption fluctuation is highly correlated with frequent vibration events, that is, abnormal vibration increases the equipment load, resulting in abnormal energy consumption fluctuations.

[0139] To comprehensively optimize the equipment operating state, the system calls the preset track laying speed correction formula, incorporates the vibration deviation correction factor and the energy consumption deviation correction factor into the calculation together, and adjusts the track laying speed setting value. The adjusted speed is reduced from 25 meters per minute to 22 meters and is immediately applied to the subsequent operation of the equipment. The optimized operation data shows that the number of critical vibration events is reduced to 8, and the energy consumption of the equipment also returns to the standard range, indicating that the adjustment effectively reduces the impact of vibration on the equipment and optimizes the energy consumption efficiency.

[0140] This adjustment not only solves the single problems of vibration and energy consumption, but also significantly improves the operating state of the equipment through the linkage optimization of the two. Ultimately, it realizes the improvement of the track laying quality, extends the service life of the equipment, reduces the construction energy consumption, and improves the overall construction efficiency. Through the optimization mechanism of two-factor collaboration, the system has stronger adaptability and intelligence level in the dynamic construction environment.

[0141] It should be understood that although the steps in the flowcharts of the embodiments of the present invention are shown in sequence according to the arrows, these steps are not necessarily executed in the order indicated by the arrows. Unless there is a clear indication in this article, there is no strict order restriction for the execution of these steps, and these steps can be executed in other orders. Moreover, at least a part of the steps in each embodiment may include multiple sub-steps or multiple stages. These sub-steps or stages are not necessarily executed at the same moment, but can be executed at different moments. The execution order of these sub-steps or stages is not necessarily sequential, but can be executed alternately or in turn with at least a part of other steps or sub-steps or stages of other steps.

[0142] Those of ordinary skill in the art can understand that all or part of the processes of implementing the methods in the above embodiments can be completed by instructing relevant hardware through a computer program. The program can be stored in a non-volatile computer-readable storage medium. When the program is executed, it can include the processes of the embodiments of the above methods. Among them, any reference to a memory, storage, database or other medium used in the embodiments provided in the present application can include non-volatile and / or volatile memories. Non-volatile memories can include read-only memory (ROM), programmable ROM (PROM), electrically programmable ROM (EPROM), electrically erasable programmable ROM (EEPROM) or flash memory. Volatile memories can include random access memory (RAM) or external cache memory. By way of illustration and not limitation, RAM is available in many forms, such as static RAM (SRAM), dynamic RAM (DRAM), synchronous DRAM (SDRAM), double data rate SDRAM (DDRSDRAM), enhanced SDRAM (ESDRAM), synchronous link (Synchlink) DRAM (SLDRAM), memory bus (Rambus) direct RAM (RDRAM), direct memory bus dynamic RAM (DRDRAM), and memory bus dynamic RAM (RDRAM), etc.

[0143] The technical features of the above-described embodiments can be combined arbitrarily. For the sake of brevity of description, not all possible combinations of the technical features in the above embodiments are described. However, as long as there is no contradiction in the combination of these technical features, it should be considered as falling within the scope described in this specification.

[0144] The above-described embodiments merely represent several implementation manners of the present invention. The description is relatively specific and detailed, but it should not be construed as a limitation on the scope of the patent for the present invention. It should be noted that for those of ordinary skill in the art, without departing from the concept of the present invention, several modifications and improvements can still be made, and these all belong to the protection scope of the present invention. Therefore, the protection scope of the patent for the present invention should be subject to the appended claims.

[0145] The foregoing is only a preferred embodiment of the present invention and is not intended to limit the present invention. Any modifications, equivalent replacements, improvements, etc. made within the spirit and principle of the present invention shall be included within the protection scope of the present invention.

Claims

1. A digital construction method for a track area, characterized in that: The method comprises: The track dynamic vibration characteristic data of the controlled track laying equipment in the working state is obtained, the time window is back-defined and the number of critical vibration event intervals therein is counted, and it is determined whether the number exceeds the preset threshold. If so, a vibration deviation correction factor is generated according to the deviation from the preset threshold. Obtain the energy consumption log information of the controlled track laying equipment within the defined time window, extract the average energy consumption value and the average track vibration amplitude value corresponding to each critical vibration event interval in combination with the track dynamic vibration characteristic data, and determine whether the change trends of the average energy consumption value and the average track vibration amplitude value of these critical vibration event intervals in the time series are consistent. If they are consistent, select a specific critical vibration event interval from them; Obtain an operating parameter reference table and the current working condition of the controlled track laying equipment, and input the average value of the track vibration amplitude corresponding to the specific critical vibration event interval and the current working condition of the equipment into the operating parameter reference table, determine the corresponding theoretical standard energy consumption value, quantify the deviation between the average energy consumption value of the specific critical vibration event interval and the theoretical standard energy consumption value, and generate an energy consumption deviation correction factor; The current track laying speed setting value of the controlled track laying equipment is obtained, and the current track laying speed setting value is comprehensively adjusted in combination with the vibration deviation correction factor and the energy consumption deviation correction factor.

2. The digital construction of the track area according to claim 1 is characterized in that: The critical vibration event interval is an abnormal vibration phenomenon in which the vibration amplitude does not reach the set threshold value affecting the track laying quality but falls within a specific range in the track dynamic vibration characteristic data, and the vibration duration exceeds the preset minimum duration.

3. The digital construction of the track area according to claim 2 is characterized in that: The energy consumption log information of the controlled track laying equipment within the defined time window is obtained, and the average energy consumption value and the average track vibration amplitude value corresponding to each critical vibration event interval are extracted in combination with the track dynamic vibration characteristic data, and it is determined whether the change trends of the average energy consumption value and the average track vibration amplitude value of these critical vibration event intervals in the time series are consistent. If they are consistent, the steps of selecting a specific critical vibration event interval include: Determine the time range of each critical vibration event interval based on the track dynamic vibration characteristic data; Obtain the energy consumption log information of the controlled track laying equipment within the defined time window, and calculate the average track vibration amplitude and energy consumption corresponding to each critical vibration event interval in combination with the above time range; According to the time series, the average values ​​of orbital vibration amplitude and energy consumption in all critical vibration event intervals are sorted; Analyze whether the changing trend of the average energy consumption value after sorting is consistent with the changing trend of the average orbital vibration amplitude. If they are consistent, select one of the values ​​with higher frequency and smaller difference from the occurrence frequency of the average orbital vibration amplitude as the specific average orbital vibration amplitude, and determine the specific critical vibration event interval based on this.

4. The digital construction of the track area according to claim 1 is characterized in that: The operating parameter reference table refers to a parameter database that records and associates the standard energy consumption range, track vibration characteristics and corresponding operating conditions of the controlled track laying equipment under different operating conditions. The table can provide the theoretical standard energy consumption value of the controlled track laying equipment under normal vibration conditions as a reference benchmark based on the different working conditions of the controlled track laying equipment.

5. The digital construction of the track area according to claim 1 is characterized in that: The steps of obtaining the current track laying speed setting value of the controlled track laying equipment and comprehensively adjusting the current track laying speed setting value in combination with the vibration deviation correction factor and the energy consumption deviation correction factor include: Obtain the current track laying speed setting value of the controlled track laying equipment; Retrieve the preset track-laying speed setting value correction formula, and combine the vibration deviation correction factor and the energy consumption deviation correction factor to comprehensively adjust the current track-laying speed setting value to obtain the optimized track-laying speed setting value; The optimized track laying speed setting value is applied to subsequent track laying operations of the controlled track laying equipment.

6. The digital construction of the track area according to claim 5 is characterized in that: The track laying speed setting value correction formula is: , where V new Refers to the optimized track laying speed setting value, V current Refers to the current track laying speed setting value, F v Refers to the vibration deviation correction factor, W v Refers to the adjustment coefficient of the vibration deviation correction factor, F e Refers to the energy consumption deviation correction factor, F v Refers to the adjustment coefficient of the energy consumption deviation correction factor.

7. The digital construction of the track area according to claim 6 is characterized in that: In the track laying speed setting value correction formula: , where N actual Refers to the number of critical vibration event intervals, N threshold Refers to the preset threshold; , where E actual Refers to the average energy consumption in a specific critical vibration event interval, E reference Refers to the theoretical standard energy consumption value.

8. The digital construction system of the track area is characterized by: The system comprises: a vibration deviation correction factor determination module, a specific critical vibration event interval selection module, an energy consumption deviation correction factor determination module and a current track laying speed setting value adjustment module, wherein: The vibration deviation correction factor determination module is used to obtain the track dynamic vibration characteristic data of the controlled track laying equipment in the working state, back-define the time window and count the number of critical vibration event intervals therein, and determine whether the number exceeds the preset threshold. If so, a vibration deviation correction factor is generated according to the deviation from the preset threshold; The critical vibration event interval is a vibration abnormality phenomenon in which the vibration amplitude does not reach the set threshold value affecting the track laying quality but falls within a specific range in the track dynamic vibration characteristic data, and the vibration duration exceeds the preset minimum duration; The specific critical vibration event interval selection module is used to obtain the energy consumption log information of the controlled track laying equipment within the defined time window, extract the average energy consumption value and the average track vibration amplitude value corresponding to each critical vibration event interval in combination with the track dynamic vibration characteristic data, and determine whether the change trends of the average energy consumption value and the average track vibration amplitude value of these critical vibration event intervals in the time series are consistent. If they are consistent, a specific critical vibration event interval is selected from them; The energy consumption deviation correction factor determination module is used to obtain the operating parameter reference table and the current working condition of the controlled track laying equipment, and input the average value of the track vibration amplitude corresponding to the specific critical vibration event interval and the current working condition of the equipment into the operating parameter reference table, determine the corresponding theoretical standard energy consumption value, quantify the deviation between the average energy consumption value of the specific critical vibration event interval and the theoretical standard energy consumption value, and generate the energy consumption deviation correction factor; The operating parameter reference table refers to a parameter database that records and associates the standard energy consumption range, track vibration characteristics and corresponding operating conditions of the controlled track laying equipment under different operating conditions. The table can provide the theoretical standard energy consumption value of the controlled track laying equipment under normal vibration conditions as a reference benchmark according to different working conditions of the controlled track laying equipment. The current track laying speed setting value adjustment module is used to obtain the current track laying speed setting value of the controlled track laying equipment, and comprehensively adjust the current track laying speed setting value in combination with the vibration deviation correction factor and the energy consumption deviation correction factor.

9. The digital construction of the track area according to claim 8, characterized in that: The specific critical vibration event interval selection module specifically includes: A time range determination unit, used to determine the time range of each critical vibration event interval according to the track dynamic vibration characteristic data; An average value calculation unit is used to obtain the energy consumption log information of the controlled track laying equipment within the defined time window, and calculate the track vibration amplitude average value and energy consumption average value corresponding to each critical vibration event interval in combination with the above time range; An average value sorting unit is used to sort the average values ​​of rail vibration amplitude and energy consumption in all critical vibration event intervals according to a time series; The specific critical vibration event interval determination unit is used to analyze whether the changing trend of the sorted average energy consumption value is consistent with the changing trend of the average orbital vibration amplitude value. If they are consistent, one of the values ​​with higher frequency and smaller difference from each other is selected from the occurrence frequency of the average orbital vibration amplitude value as the specific orbital vibration amplitude average value, and the specific critical vibration event interval is determined accordingly.

10. The digital construction of the track area according to claim 9, characterized in that: The current track laying speed setting value adjustment module specifically includes: A current setting value acquisition unit, used to acquire a current track laying speed setting value of the controlled track laying equipment; The current setting value adjustment unit is used to call the preset track laying speed setting value correction formula, and comprehensively adjust the current track laying speed setting value in combination with the vibration deviation correction factor and the energy consumption deviation correction factor to obtain the optimized track laying speed setting value; an optimized set value application unit, used for applying the optimized track laying speed set value to subsequent track laying operations of the controlled track laying equipment; The track laying speed setting value correction formula is: , where V new Refers to the optimized track laying speed setting value, V current Refers to the current track laying speed setting value, F v Refers to the vibration deviation correction factor, W v Refers to the adjustment coefficient of the vibration deviation correction factor, F e Refers to the energy consumption deviation correction factor, F v Refers to the adjustment coefficient of the energy consumption deviation correction factor; In the track laying speed setting value correction formula: , where N actual Refers to the number of critical vibration event intervals, N threshold Refers to the preset threshold; , where E actual Refers to the average energy consumption in a specific critical vibration event interval, E reference Refers to the theoretical standard energy consumption value.

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