Risk assessment method for construction period of zero-carbon transportation system based on non-stop energy supplement

Abstract

The present application relates to the technical field of risk assessment, in particular to a zero-carbon transportation system construction period risk assessment method based on non-stop energy supplement, comprising the following steps: obtaining connection node abnormal frequency and pairing non-continuous contact and voltage change, detecting component response and continuous action, screening same direction combination and arranging number, checking space connection trend, searching stage state analysis behavior drift, and tracing path continuity to obtain a phased risk path graph set. In the present application, the abnormal frequency and voltage fluctuation state of the track side connection node are segmented, the component response frequency band and the space distribution are combined, the connection trend of adjacent components in multi-stage evolution is drawn, the cross-stage risk link with numbered path as the core is formed, the distribution track of structure loosening and stress drift is integrated, the continuous mapping between nodes is used to support the risk backtracking of the phased construction period, and the overall relevance, backtracking ability and process perception of abnormal behavior are enhanced.

Description

Technical Field

[0001] This invention relates to the field of risk assessment technology, and in particular to a risk assessment method for the construction phase of a zero-carbon transportation system based on non-stop refueling. Background Technology

[0002] Risk assessment technology is a key area in the construction and management of modern transportation infrastructure. It primarily encompasses the systematic modeling and classification of factors that may cause system failures or operational safety hazards during project implementation. This includes infrastructure reliability analysis, external environment adaptability assessment, construction process stability evaluation, construction interference identification, and causal mechanism tracing. This field is widely applied in transportation infrastructure planning, intelligent transportation system deployment, and the construction of new energy logistics systems. It emphasizes risk identification and safety classification based on empirical data and causal models to support scientific management and engineering optimization decisions.

[0003] Among them, the traditional risk assessment method for non-stop refueling zero-carbon transportation system construction period refers to the process of analyzing the structural response behavior of infrastructure such as power supply and distribution lines, roadside substations, and overhead contact networks in the transportation engineering construction phase by constructing reliability models. It uses accident samples and engineering case data from existing rail transit and electrified highway systems to identify the main risk causes such as construction, extreme weather, and operational interference. Based on assessment factors such as environmental suitability, infrastructure status, and response capability, the system's current safety level is classified into different risk states. The method often uses causal analysis and failure feature modeling to complete the overall risk identification and classification.

[0004] Existing technologies assess risk status at a single point based on static reliability models and accident sample characteristics, without mapping the multi-stage behavior and time-series information of continuous components within a spatial range. Especially under conditions such as superimposed construction interference or changes in environmental load, there are limitations such as overlooking abnormalities in dynamic power supply continuity, which can easily lead to insufficient understanding of the failure chain of adjacent structures, resulting in bias in risk distribution analysis and limiting the pertinence and continuity of multi-stage risk management. Summary of the Invention

[0005] The purpose of this invention is to address the shortcomings of existing technologies by proposing a risk assessment method for the construction period of a zero-carbon transportation system based on non-stop refueling.

[0006] To achieve the above objectives, the present invention adopts the following technical solution: a risk assessment method for the construction period of a zero-carbon transportation system based on non-stop refueling, comprising the following steps: S1: Obtain the abnormal frequency of the connection node between the guide rail and the receiving arm under the non-stop power replenishment scenario, match discontinuous contact and voltage change, divide the continuous interval according to the signal amplitude of the interruption segment, and obtain the power supply fluctuation node mark set; S2: Based on the power supply fluctuation node marker set, detect the response frequency bands of the suspension and flexible transmission components, analyze the continuous actions in the same stage, screen the component combinations with the same offset direction and angular velocity, arrange the numbers in order, and obtain the list of abnormal behavior chains of component linkage. S3: Based on the list of abnormal behavior chains of the component linkage, check the spatial position of the abnormal chain number in the rail power supply structure diagram, determine the continuous layout and filter the linear connection trend, arrange them according to the connection direction, and obtain the regional abnormal activity group record. S4: Based on the records of the abnormal activity group in the region, retrieve the task status of each stage, analyze the stage performance of structural loosening, stress fluctuation and response drift, and obtain stage component abnormal information tags. S5: Based on the abnormal information tags of the phased components, trace the spatial continuity of the numbered path in the power supply diagram, rearrange the cross-phase components according to the original connection relationship and mark their positions to obtain a phased structural risk path diagram group for the construction period.

[0007] As a further embodiment of the present invention, the power supply fluctuation node marker set includes node number, discontinuous contact number, and voltage change range; the component linkage abnormal behavior chain list includes response frequency band, action continuity, and linkage component sequence; the regional abnormal activity group record includes spatial location linear relationship, number connection trend, and path arrangement sequence; the phased component abnormal information label includes structural loosening state, connection stress fluctuation, and response drift characteristics; and the phased structural risk path map group during the construction period includes cross-phase numbered path, spatial location relationship, and phase distribution.

[0008] As a further aspect of the present invention, the specific steps of S1 are as follows: S101: Obtain the connection area nodes of the rail-side embedded power supply guide rail structure and the sliding contact power receiving arm access end under the non-stop power replenishment scenario, monitor the power supply abnormality frequency of the nodes in the continuous operation state, match the node number and voltage change value in the non-continuous contact state, and obtain the node abnormality sequence. S102: Based on the node anomaly sequence, for the signal amplitude data in the segmented interruption segment, compare the duration of adjacent nodes in the number sequence within the signal amplitude interval, identify the duration sequence of the differential interval, and obtain the duration interval. S103: Based on the duration interval, filter the continuous distribution of the numbers in the interruption interval, associate the frequency of voltage changes and non-continuous contact, arrange the start and end positions of the numbers in the continuous interval, and obtain the power supply fluctuation node marker set.

[0009] As a further aspect of the present invention, the specific steps of S2 are as follows: S201: Based on the numbering data in the power supply fluctuation node marker set, detect the response change frequency bands of the hanging components and flexible conductive connection components corresponding to the numbering data, serialize and map the component number and the response change frequency band value, monitor the continuous state of the frequency band value within the numbering interval, and obtain the component response change sequence. S202: Based on the component response change sequence, calculate the change amplitude of the component number in the response change frequency band, and at the same time determine the continuous interval distribution of the amplitude in the same operating stage, filter the component number combination with the numbering order and the change amplitude trend to obtain the continuous number group of component amplitude. S203: Based on the continuous numbering group of the component amplitude, arrange the order of the component numbers in the action response, and at the same time filter the number range where the offset direction value and the angular velocity change value are consistent, to obtain a list of abnormal behavior chains of component linkage.

[0010] As a further aspect of the present invention, the formula for calculating the variation amplitude of the component number in the response variation frequency band is as follows: ; in, Representative component number The amplitude of change in the frequency band of the phase response change. Representative number In the The response amplitude during the second monitoring Representative number In the The voltage difference between adjacent measurements in this monitoring. Representative number In the Contact duration of the secondary monitoring node. Representative number Reference values ​​for structural loosening at the stage Representative number Number of discontinuous contacts during the phase Number Total number of monitoring sessions in each phase Represents the component number sequence, Representing the The monitoring record number is as follows.

[0011] As a further aspect of the present invention, the specific steps of S3 are as follows: S301: Based on the component number data in the component linkage abnormal behavior chain list, check the spatial position of the number data in the rail surface power supply structure diagram, match the number with the node coordinates in the structure diagram, analyze the continuous distribution state of the number sequence in the coordinate interval of the structure diagram, and obtain the component spatial position sequence. S302: Based on the spatial position sequence of the components, calculate the spatial coordinate direction angle of adjacent numbered nodes, and at the same time determine whether the direction angle is maintained within the range of change of continuous connection in the structural diagram. Filter out the numbered combinations of continuously changing direction angle sequences to obtain a continuous direction angle numbering sequence. S303: Based on the continuous directional angle numbering sequence, arrange the connection direction order of the numbers in the spatial nodes, and at the same time analyze the consistency of the change of the numbering coordinate direction vector under the linear connection trend, filter the continuous numbering path, and obtain the regional abnormal activity group record.

[0012] As a further aspect of the present invention, the formula for calculating the spatial coordinate direction angle of adjacent numbered nodes is as follows: ; in, Representative node With nodes Spatial coordinate direction and angle, Representative node The sum of distances to surrounding reference nodes. Representative node The weight factor value, Representative node The sum of distances to surrounding reference nodes. Representative node The weight factor value, Representative node With nodes The sum of the absolute values ​​of the distance differences between the reference nodes. Representative node The average distance to surrounding reference nodes, Representative node With nodes The overall average distance This represents the average value of the weight factors for the numbered nodes.

[0013] As a further aspect of the present invention, the specific steps of S4 are as follows: S401: Based on the component numbers recorded in the continuous abnormal activity group of the region, retrieve the task status of the number in the initial, middle and commissioning stages of construction, match the number information with the stage time interval, analyze the matching of number distribution with the operation time period, and obtain the component stage status sequence. S402: Based on the component stage state sequence, analyze the behavior values ​​of each number in structural loosening, connection stress fluctuation and response drift, calculate the composite stage behavior amplitude characteristic value, determine the behavior difference of the number within the stage interval, and obtain the stage behavior amplitude characteristic. S403: Based on the aforementioned stage behavior amplitude characteristics, identify the numbering intervals of structural loosening, connection stress fluctuations, and response drift in continuous stages, arrange the correspondence between each stage number and the task status, and obtain stage component abnormality information tags.

[0014] As a further aspect of the present invention, the formula for calculating the fluctuation amplitude of structural loosening in the continuous stages of the numbering is specifically as follows: ; in, Representative components In the stage The comprehensive response change index Representative components In the stage The The response value of the second monitoring, Representative components In the stage The average value of the response. Representative components In the stage The The energy input value monitored this time, Representative components In the stage The average value of energy input, Representative components In the stage The drift response value, Representative components The average value of the drift response across all stages. Represents the weighting coefficient of energy behavior. The weighting coefficients representing the drift term. This represents the drift normalization constant.

[0015] As a further aspect of the present invention, the specific steps of S5 are as follows: S501: Based on the numbering data in the staged component abnormality information label, trace the spatial continuity of the numbering in the power supply structure diagram, match the numbering information with the coordinates of the power supply structure nodes, determine whether the numbering path has a continuous arrangement state in the structure diagram, and obtain the spatial continuous sequence of the numbering. S502: Based on the numbering spatial continuous sequence, check the original connection relationship of cross-stage numbers in the structure diagram, and compare the arrangement trend of nodes in the structural coordinate interval to filter out numbering paths with continuous spatial positions and obtain the numbering connection relationship interval. S503: Based on the numbering connection relationship interval, sort the positions of the numbers in the structure diagram according to the phase distribution, and mark the numbering intervals in the continuous path. Delineate the path according to the phase distribution to obtain the phased structural risk path diagram group for the construction period.

[0016] Compared with the prior art, the advantages and positive effects of the present invention are as follows: In this invention, the abnormal frequency and voltage fluctuation status of the trackside connection nodes are divided into intervals. The connection trend of adjacent components in the multi-stage evolution is drawn by combining the component response frequency band and spatial distribution. A cross-stage risk link with the numbered path as the core is formed, the distribution trajectory of structural loosening and stress drift is integrated, and the continuous mapping between nodes is used to support the risk backtracking of the phased construction cycle, thereby enhancing the overall correlation, traceability and process awareness of abnormal behavior. Attached Figure Description

[0017] Figure 1 This is a flowchart of the method steps of the present invention. Detailed Implementation

[0018] To make the objectives, technical solutions, and advantages of this invention clearer, the 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 merely illustrative and not intended to limit the invention.

[0019] In the description of this invention, it should be understood that the terms "length," "width," "upper," "lower," "front," "rear," "left," "right," "vertical," "horizontal," "top," "bottom," "inner," and "outer," etc., indicating orientation or positional relationships, are based on the orientation or positional relationships shown in the accompanying drawings and are only for the convenience of describing the invention and simplifying the description, and do not indicate or imply that the device or element referred to must have a specific orientation, or be constructed and operated in a specific orientation, and therefore should not be construed as a limitation of the invention. Furthermore, in the description of this invention, "a plurality of" means two or more, unless otherwise explicitly specified.

[0020] Please see Figure 1 This invention provides a technical solution: a risk assessment method for the construction period of a zero-carbon transportation system based on non-stop energy replenishment, comprising the following steps: S1: Obtain the connection area nodes of the rail-side embedded power supply guide rail structure and the sliding contact power receiving arm access end under the non-stop power replenishment scenario, monitor the frequency of power supply anomalies occurring in the nodes under continuous operation, match the node number and voltage change corresponding to the non-continuous contact performance, divide the duration change interval according to the signal amplitude in the interruption segment, and obtain the power supply fluctuation node mark set. S2: Based on the numbered data in the power supply fluctuation node marker set, detect the response change frequency band of the connected hanging components and flexible conductive connection components, analyze whether the action response occurs continuously in the same operating stage, screen component combinations where the offset direction and angular velocity change tend to be in the same direction, arrange the component numbers according to the order of response, and obtain a list of abnormal behavior chains of component linkage. S3: Based on the component number data in the component linkage abnormal behavior chain list, check the spatial position in the rail power supply structure diagram, determine whether the component is within the continuous layout range, filter the adjacent numbered components that are linearly connected in space, arrange the component numbers of the continuous path trend in sequence according to the connection direction, and obtain the regional abnormal activity group record. S4: Based on the component number recorded in the continuous abnormal activity group in the region, retrieve the task status of the component in the initial, middle and commissioning stages of construction, analyze the structural loosening, connection stress fluctuation and response drift behavior that occur in the stages, identify the behavior in the differentiated stages, and obtain staged component abnormal information labels. S5: Based on the numbering data in the component anomaly information labels of each stage, trace the spatial continuity of the numbering path in the power supply structure diagram, arrange the components with cross-stage numbering connections according to the original connection in the diagram, mark the positional correspondence of the components in the path, delineate the path according to the stage distribution, and obtain the construction period phased structural risk path diagram group.

[0021] The power supply fluctuation node marker set includes node number, discontinuous contact number, and voltage change range; the component linkage abnormal behavior chain list includes response frequency band, action continuity, and linkage component sequence; the regional abnormal activity group record includes spatial location linear relationship, number connection trend, and path arrangement sequence; the phased component abnormal information label includes structural loosening status, connection stress fluctuation, and response drift characteristics; and the construction period phased structural risk path map group includes cross-phase numbered path, spatial location relationship, and phase distribution.

[0022] The specific steps of S1 are as follows: S101: Obtain the connection area nodes of the rail-side embedded power supply guide rail structure and the sliding contact power receiving arm access end under the non-stop power replenishment scenario, monitor the power supply abnormality frequency of the nodes in the continuous operation state, match the node number and voltage change value in the non-continuous contact state, and obtain the node abnormality sequence. First, after the power supply rail is installed and continuously powered, check each node in the section according to the node numbering provided by the on-site work team. On-site maintenance personnel can use handheld insulation testing equipment to test the current and voltage continuity at the connection point one by one, and compare the recorded numbers with the contact status to monitor the number of current interruptions and the corresponding time intervals during continuous operation. For example, if node A01 is detected to have been de-energized 4 times in 8 hours, with an average interval of 45 minutes each time, it can be confirmed as a high-frequency interruption node. At the same time, the instantaneous voltage value of this node can be obtained using a digital multimeter and stored as a curve. Continue to check adjacent numbers such as A02 and A03 according to the same detection logic, and include the frequency of power outages at their power supply rail connection points in the same table. Through the summary table, it is possible to judge whether there is a synchronous power outage between adjacent numbers. If the overlap rate of power outage times between adjacent nodes exceeds 50%, it can be marked as the same group of power supply fluctuations. To avoid missing short-term fluctuations, continuous detection should be performed according to the 0.5-second recording resolution of the detection instrument. Then, the numbers of non-continuous contact states are matched one by one with their sampled voltage values. As can be seen from the example data, the voltage of number A01 drops to 12V when the power is off, while the voltage should be stable at 24V when the power is on. Therefore, the voltage fluctuation amplitude can be defined as 50%, and this fluctuation amplitude is used as the distinction threshold. All voltage drops with a sampled number voltage value greater than 20% are regarded as non-continuous contact phenomena. Continuing to divide the interval into 5-minute intervals according to the signal amplitude sequence of the sampling points within the interruption segment, the number of power outages within 5 consecutive minutes is counted. If more than 3 times, it can be determined as the trigger condition of the duration variation interval. The start and end numbers and time of this condition are included in an interval identifier number. Finally, the intervals are sorted in ascending order by number, and the set of consecutive non-continuous contact states with the same interval identifier number is summarized into a record table to obtain the node anomaly sequence.

[0023] S102: Based on the node anomaly sequence, for the signal amplitude data in the segmented interruption segment, compare the duration of adjacent nodes in the number sequence within the signal amplitude interval, identify the duration sequence of the differential interval, and obtain the duration interval. First, under non-stop power replenishment conditions, the node number set is re-verified based on the discontinuous contact characteristics that occurred during construction. The number set is then divided into several number segments according to the power supply section. The voltage change sequence collected in each number segment is monitored, and all voltage sampling data within the interruption segment are time-series sorted. Combined with the arrangement order of the node positions, the sampled voltage values ​​are converted into corresponding amplitude ranges. For example, the normal voltage of 24V on the power supply rail is considered as 100% amplitude, numbers below 18V are classified into the 70% amplitude range, and numbers below 12V are classified into the 50% amplitude range. Next, the duration of amplitude changes of adjacent nodes in each number segment is compared sequentially. If adjacent numbers remain in the 70% amplitude range for more than 300 seconds, the range can be identified as a stable fluctuation range. Otherwise, if the amplitude range is crossed multiple times within 5 seconds, it is classified as a violent fluctuation range. Further observation is conducted on the continuous state of the number sequence within these ranges. Situations where the amplitude change difference between adjacent nodes exceeds 20% but the duration is less than 60 seconds are judged as sudden fluctuation situations, which are recorded by monitoring equipment. These identifiers are recorded sequentially and associated with numbers. For example, if number B05 experiences a voltage fluctuation of 16V to 24V for 20 seconds in a single sampling, with a change rate of 33% exceeding the threshold of 20%, it is recorded as a sudden fluctuation event. On-site verification of the sampling results can also be assisted by a portable oscilloscope. The sudden fluctuation number is extracted separately from the number sequence and stored separately from the continuous fluctuation number. Then, according to the interval segmentation rule of 5 minutes, the continuous fluctuation number and the sudden fluctuation number are summarized into a list. The duration of each number interval under different amplitude ranges is counted. These counted times are compared with their occurrence frequency. If the occurrence frequency is more than 3 times within 5 minutes, the duration interval of that number in the interruption segment is directly generated. For example, if number B12 experiences a voltage drop from 24V to 12V 3 times with an interval of less than 120 seconds during a one-hour detection period, then this number is assigned a duration interval mark. Combining the logic of sequentially increasing consecutive number segments, all the occurrence interval numbers and time identifiers are arranged into a structure to obtain the duration interval.

[0024] S103: Based on the duration interval, filter the continuous distribution of the numbers in the interruption interval, associate the frequency of voltage changes and non-continuous contact, arrange the start and end positions of the numbers in the continuous interval, and obtain the power supply fluctuation node marker set. First, the node number sequence recorded within the interval is compared segment by segment. Each segment of numbers is arranged in a queue according to the order of consecutive occurrence, and the interval of the number arrangement is checked to see if it conforms to the design spacing between adjacent nodes of the power supply rail. For example, if the node numbers from C01 to C10 are consecutive and the number difference is 1, they can be considered consecutive. Otherwise, if the numbering is interrupted, it can be divided into segments. Then, in each consecutive segment, the voltage change amplitude of adjacent number sampling is checked to see if it remains within the fluctuation range of the design power supply amplitude. This fluctuation range can be judged in conjunction with the on-site operation and maintenance benchmark 24V voltage setting, which allows a 20% drop to the lower limit of 19.2V. For example, if C04 continuously samples at 18V, it is considered an abnormal number and is removed from the consecutive sequence. The number of consecutive occurrences of the remaining number interruption segment interval is observed. The number of times the non-continuous contact status mark is summed and judged within a 5-minute interval. For nodes that appear more than twice, record the node number and mark it as a high-frequency discontinuous contact number. Compare the position of these high-frequency discontinuous contact numbers within the sampling time axis with the time points recorded by the oscilloscope, and synchronously pair them with the number arrangement position. If two adjacent numbers of high-frequency discontinuous contact states occur simultaneously and the time interval is less than 30 seconds, these two numbers can be defined as a group of continuous fluctuation path nodes. Then mark the start number and end number of this group of nodes in a path relationship table. For example, if C05 and C06 occur discontinuous contact simultaneously in a detection and the detection time differs by 20 seconds, they are classified as continuous path nodes in the same segment. Finally, sort all such path numbers in ascending order and split them according to the duration of the interruption segment to form a list of the start and end points of continuous numbered paths, thus obtaining the power supply fluctuation node marking set.

[0025] The specific steps of S2 are as follows: S201: Based on the numbered data in the power supply fluctuation node marker set, detect the response change frequency band of the hanging component and flexible conductive connection component corresponding to the numbered data, serialize and map the component number and the response change frequency band value, monitor the continuous state of the frequency band value within the number interval, and obtain the component response change sequence. First, the numbering is segmented according to the power supply rail section. The associated hanging component number and flexible conductive connection component number for each segment are extracted together. A comparison list is formed using the component model and paired cable number information from the maintenance record. Then, the response voltage frequency band of each hanging component and flexible connection component under continuous energization is read multiple times to obtain multiple instantaneous voltage values ​​within a 1-second period. This is converted into frequency amplitude to form the response variation range. For example, if the normal response range of the flexible conductor is 45 Hz to 55 Hz, but the sampling shows a range of 38 Hz to 65 Hz for number D03, its fluctuation value should be considered to have exceeded the reasonable deviation range. On-site maintenance personnel can mark the working status of the cable end and component corresponding to this number as abnormal fluctuation. The frequency response amplitude of each node in the numbering sequence is arranged into a data sequence, and simultaneously, the presence of the same response amplitude state lasting more than 60 seconds within the interval is monitored. If there is a duplicate duration between the numbers... If there is overlap, it is necessary to add a marker indicating that adjacent numbers appear in the continuous frequency band in the detection table. For such cases of consecutive adjacent nodes, it is necessary to manually confirm whether the numbers appear in the same power supply circuit interval. If the power supply circuit numbers are consistent, it can be further determined as a continuous behavior. Continue to collect the response fluctuation values ​​of these nodes in sequence and mark the location points for positioning in the section electrical diagram. During this process, the node current can be measured using an insulation meter and mapped with the recorded frequency band response values. For example, if the insulation meter shows 5 Amperes when the number D05 is at 52 Hz for 60 consecutive seconds, the current and frequency band should be recorded and written into the same number table. Then, the frequency band values ​​are serialized in the order of the numbers to form a mapping relationship of continuous numbers, and the continuous fluctuation time is screened to see if it meets the requirement of a power supply stability threshold of 18 volts or more for 60 seconds in the detection interval. If it meets the requirement, these sequences are marked with a power supply stability mark in the number segment; otherwise, the segment is marked as unstable. After completing the above data and numbering joint processing, the component response change sequence is obtained.

[0026] S202: Based on the component response change sequence, calculate the change amplitude of the component number in the response change frequency band, and at the same time determine the continuous interval distribution of the amplitude in the same operating stage. Select component number combinations whose numbering order is consistent with the trend of change amplitude to obtain the continuous numbering group of component amplitude. The specific formula for calculating the variation amplitude of component number in the response frequency band is as follows: ; in, Representative component number The amplitude of change in the frequency band of the phase response change. Representative number In the The response amplitude during the second monitoring Representative number In the The voltage difference between adjacent measurements in this monitoring. Representative number In the Contact duration of the secondary monitoring node. Representative number Reference values ​​for structural loosening at the stage Representative number Number of discontinuous contacts during the phase Number Total number of monitoring sessions in each phase Represents the component number sequence, Representing the Monitoring record number; Assumption: Response amplitude : In the first, second, and third monitoring sessions, the measured acceleration data were 1.5, 1.8, and 1.6 m / s², respectively. After double integration and filtering calculations, the results were 10μm, 12μm, and 11μm, respectively. Adjacent voltage difference : If the voltages at consecutive sampling points in a certain sampling segment are 0.3V and 0.8V, then the difference is 0.5V; Quantified as ; The voltage differences obtained in the three monitoring sessions were 0.5V, 0.6V, and 0.55V, respectively. Contact duration : The contact durations for monitoring 1, 2, and 3 were 2s, 2.5s, and 2.2s, respectively. Assign values ​​separately , , ; Structural loosening reference value The calculated average of the 20 historical groups is 5, so we set... ; Number of discontinuous contacts If one clear disconnection record is found during the phase, then... ; Total number of monitoring times ; The parameter values ​​are as follows: , , ; , , ; , , ; , , ; calculate: First item: ; ; ; The summation is as follows: ; Substitute into the formula: ; Interpretation of results and numerical significance: The threshold has been set to 2.0. This indicates that the component may exhibit abnormal dynamic responses. Current results This indicates that the current state of the component is within an acceptable range, and the numerical value represents the response variation of the component at the current stage, which has not reached the alarm level. Explanation of the innovative aspects of the formula: The advantage of the formula is that it introduces the contact duration. The denominator is standardized by using the square root, which solves the calculation interference caused by the fluctuation of response strength under different working conditions; at the same time, the structural loosening reference value is used. Benchmark calibration is performed to further improve the sensitivity of the results. Number of discontinuous contacts. The introduction of this technology enhances the response to fracture-type damage or contact fatigue, thereby improving the accuracy and adaptability of identification in dynamic structural monitoring.

[0027] S203: Based on the continuous numbering group of component amplitude, arrange the order of component numbers in the action response, and at the same time filter the number range where the offset direction value and the angular velocity change value are consistent, to obtain a list of abnormal behavior chains of component linkage. First, during actual maintenance, the source of the component amplitude data is verified. The amplitude values ​​corresponding to the record numbers are arranged according to the sampling order. Combined with the action response sequence of the hanging device and flexible conductive elements during power supply operations, the sampling points where amplitude fluctuations occur are marked sequentially. If the amplitude curves of a given number remain within a continuous range at adjacent positions, the component's action can be determined to be continuous. Simultaneously, the action sequence needs to be checked one by one when arranging the numbers to ensure that the numbering arrangement from the start position to the end node conforms to the logic of the construction task progress. For example, if number E01 shows a stable amplitude range, while number E02 subsequently experiences continuous fluctuations, then E01 should be considered to have acted before E02, and the numbering order should be maintained. Then, the offset direction of each component's action is determined. By calculating the direction of the relative position change, the same number... Within a continuous interval, the offset direction is marked as a group. For example, forward offset is considered positive, and backward offset is considered negative. If the direction markings of consecutive actions within the same segment are all positive, it indicates that the offset direction is consistent. Then, the magnitude of the angular velocity change is compared. If the angular velocity change has a continuous increasing or decreasing trend in the number sequence, it can be determined as a group of numbers with the same trend. For example, if numbers E03 and E04 show an increase in angular velocity from 20 degrees per second to 30 degrees per second in a single sampling, their change trends are consistent and can be grouped together. If the direction or angular velocity change between adjacent numbers conflicts, a new action sequence needs to be split and regenerated. At the same time, the arrangement order of these component numbers is summarized and their interval range is marked. Finally, a list of numbers with continuous action direction and angular velocity change maintaining the same trend is formed, resulting in a list of abnormal behavior chains of component linkage.

[0028] The specific steps for S3 are as follows: S301: Based on the component number data in the component linkage abnormal behavior chain list, check the spatial position of the number data in the rail surface power supply structure diagram, match the number with the node coordinates in the structure diagram, analyze the continuous distribution state of the number sequence in the coordinate interval of the structure diagram, and obtain the component spatial position sequence. First, before the work begins, the maintenance team schedules each number sequence in batches. These numbers are matched item by item according to the node position matching table of the power supply rail layout. Each number is compared with the actual distribution area of ​​the contact rail, and this is simultaneously plotted on the maintenance plan to form a comparison table. Combined with the track coordinate information measured on-site, the node coordinates are marked on the maintenance plan. If the coordinates of the same number change in different work stages, it needs to be split and assigned to different intervals to prevent double counting or misjudgment of node positions. This operation further confirms whether the positioning of the power supply node numbers is continuous in the longitudinal and lateral directions. If the position changes during multiple checks, the positional offset should be recorded and an offset indicator added to the table. Next, when judging the continuity of the coordinate interval, the lateral coordinates of each number are sorted one by one according to the rail centerline from the starting point, and the spacing between adjacent numbers is compared to see if it meets the standard. The standard track spacing requirement is based on a 400mm track node distance. If the deviation between adjacent numbers exceeds 10mm, they should be segmented to maintain continuity and conform to the actual track laying. If the spacing between adjacent numbers within a continuous interval is within 5mm, it is considered as the same continuous interval. Subsequently, the numbers and their coordinate information in the continuous interval are written into a summary table, indicating the numbering order and coordinate order. The X and Y coordinates of each number are noted in this table, and the records during the inspection are retained. If a breakpoint occurs during the inspection of a node, an interruption mark is added to the remarks. For example, if the number F12 has a repeated positional offset and a spacing greater than 15mm during the inspection, it should be considered a non-continuous number and split into two numbering segments. Finally, the summarized table is arranged in numerical order and output to form a structural plane distribution file containing node numbers, node coordinates, and node offset information, thus obtaining the spatial position sequence of the components.

[0029] S302: Based on the spatial position sequence of components, calculate the spatial coordinate direction angle of adjacent numbered nodes, and at the same time determine whether the direction angle is maintained within the range of continuous connection of the structural diagram. Filter the numbered combinations of continuously changing direction angle sequences to obtain a continuous direction angle numbering sequence. The formula for calculating the spatial coordinate direction angle of adjacent numbered nodes is as follows: ; in, Representative node With nodes Spatial coordinate direction and angle, Representative node The sum of distances to surrounding reference nodes. Representative node The weight factor value, Representative node The sum of distances to surrounding reference nodes. Representative node The weight factor value, Representative node With nodes The sum of the absolute values ​​of the distance differences between the reference nodes. Representative node The average distance to surrounding reference nodes, Representative node With nodes The overall average distance The average value of the weight factors representing the numbered nodes; In actual measurements, node The distances from the reference node are: 1525mm, 1530mm, 1518mm, 1522mm, 1533mm, and 1527mm. node The corresponding distances are 1535mm, 1538mm, 1526mm, 1529mm, 1537mm, and 1532mm. node The stability ratio is 0.92, after correction. ; node The stability ratio is 0.89, after correction. ; node The total distance ; node The total distance ; node average distance ; node average distance ; Overall distance mean ; Sum of absolute values ​​of distance differences between nodes ; Overall weight average of nodes In the range of 1.05 to 1.15, the example takes... ; Substituting the above parameters into the formula, we get ; Calculate the numerator: ; Add the squared term: ; Prescribe again: ; Calculate the denominator: ; The final result is: ; This result indicates that the node With nodes The spatial coordinate direction angle is 10.35°. According to the angle change (±15°) in the structure diagram, it is within a safe and reasonable range. It can be used to filter the number combination of continuous change of direction angle and determine the connection stability. The value directly corresponds to the step result, indicating that the node spatial state has met the requirements of continuous connection, and node sequence filtering and topology verification can continue to be performed.

[0030] The innovative aspects of the formula: The advantage of the formula lies in its introduction of the total sum of the distances between nodes. Weighting factors Sum of absolute values ​​of node distance differences Average distance and overall mean The parameters established a multi-dimensional discrimination mechanism based on spatial location, node stability, and surrounding differences, providing mathematical support for multi-dimensional judgment in structural monitoring.

[0031] S303: Based on the continuous directional angle numbering sequence, arrange the connection direction order of the numbers in the spatial nodes, and at the same time analyze the consistency of the change of the numbering coordinate direction vector under the linear connection trend, filter the continuous numbering path, and obtain the regional abnormal activity group record. First, maintenance personnel compile a list of all spatial node numbers within the numbering sequence. At the construction site, using a positioning device, they obtain the corresponding coordinate azimuth information for each number and write this information into a record table in numerical order. Then, they mark the connection direction of each node in the table. If the azimuth angle between adjacent numbers is within 10 degrees, it is considered a continuous direction; otherwise, it is segmented again based on a break in the numbering. For example, numbers G01 and G02, with azimuth angles of 85 degrees and 87 degrees respectively, are considered to be in the same direction. However, if G03 is 120 degrees, it should be split and rearranged. After regenerating this numbering group into a new sequence, the sequence from the starting point to the ending point is compared with the track surface drawing to determine if the numbering arrangement conforms to the construction logic and the connection sequence of the guide rail power supply. Further analysis of the number coordinate direction vectors is then performed, splitting the direction vectors of adjacent nodes into horizontal and vertical axes using Cartesian coordinates. The vertical component is recorded, and the change ratio of each numbered component is recorded. If the change of the direction vector of adjacent numbers in the horizontal component does not exceed 5% and the change in the vertical component does not exceed 5%, then the numbering segment can be determined to be a linear trend interval. Otherwise, it is split into two segments and a segment boundary mark is added to the record table. Then, the continuous direction numbers are checked for duplicate numbers in these segments. If the same number appears twice but the direction angle is different, the direction angle of the earlier time needs to be retained as the main number and the subsequent record is removed. Combined with the standard layout diagram of the construction power supply guide rail, the numbering can be confirmed and revised on-site for the case of number offset or duplication. Finally, the start and end nodes in the above continuous direction segments are numbered and labeled, and the numbering is uniformly sorted in the summary table so that the maintenance site can find by number index in the shortest time, forming the final numbered path segments with clear direction trends and stable coordinate changes according to the order of numbers, and obtaining the area abnormal activity group record.

[0032] The specific steps of S4 are as follows: S401: Based on the component numbers recorded in the continuous abnormal activity group in the region, retrieve the task status of the number in the initial, middle and commissioning stages of construction, match the number information with the stage time interval, analyze the matching of number distribution with the operation time period, and obtain the component stage status sequence. Firstly, in the project construction management process, based on the phase sequence of the construction plan, the initial construction phase, intermediate phase, and commissioning phase are clearly divided into three work phases. Each number's data is imported into the component ledger and matched with the actual phase interval of its completed work. If a number is installed in the intermediate phase, it is classified as an intermediate phase. Through this segmentation logic, the phase information of all numbers is summarized in the status record table, and the task status identifier code registered in the construction drawings for each number is verified. If the status record of a number does not show completion, the update status of subsequent phases should be further traced. Simultaneously, the work completion mark is checked on manual inspections or electronic inspection sheets to verify whether there is duplicate recording of numbers in different phases. For example, a number may not be completed in the intermediate phase but is recorded in the commissioning phase. A switching marker needs to be added to the intermediate ledger to facilitate subsequent judgment. In addition, during the phase comparison, the construction personnel sign-in records of the project management system can be used to check whether the construction actions match the phase status. If the sign-in information does not match the numbered work record, the on-site verification personnel need to reconfirm and update it. In the process of comparing the number distribution and phase intervals, the logical continuity between nodes should be taken into account to ensure that adjacent numbers are consistent in terms of construction sequence and phase division. If there is an unreasonable order between adjacent numbers, the ledger information should be prompted to be supplemented and revised. Finally, through multiple cross-checks of numbers and phases, the component status, work phase, and construction personnel completion status are concentrated in a number status master table for output, and the component phase status sequence can be obtained.

[0033] S402: Based on the component stage state sequence, analyze the behavior values ​​of each number in structural loosening, connection stress fluctuation and response drift, calculate the composite stage behavior amplitude characteristic value, judge the behavior difference of the number within the stage interval, and obtain the stage behavior amplitude characteristic. The specific formula for calculating the fluctuation amplitude of structural loosening in the continuous stage is as follows: ; in: Representative components In the stage The comprehensive response change index Representative components In the stage The The response value of the second monitoring, Representative components In the stage The average value of the response. Representative components In the stage The The energy input value monitored this time, Representative components In the stage The average value of energy input, Representative components In the stage The drift response value, Representative components The average value of the drift response across all stages. Represents the weighting coefficient of energy behavior. The weighting coefficients representing the drift term. Represents the drift normalization constant; Assumption: In the stage In the middle, components The response values ​​were 10 μm, 12 μm, and 11 μm, respectively. member The energy input values ​​are 100J, 110J, and 105J respectively; In the stage In the middle, components The drift response value is 5mm; Average value calculation: μm; J; Assuming components The average drift response value across all stages is mm; Weighting and normalization coefficient settings: The value is set according to the degree of influence of energy input on structural response, and the range is generally from 0.1 to 1.0. Here it is set to 0.5. The value is set according to the degree of impact of drift on structural health, and the range is generally from 0.1 to 1.0. Here it is set to 0.3. To maintain unit consistency, it is set to 1mm.

[0034] Calculate the standard deviation of the response values: Variance = ; Standard deviation = ; Calculate energy inputs: Average deviation: ; square ; Calculate the drift term: ; Comprehensive calculation : ; Interpretation of results and numerical significance: The threshold for structural health is set to 1.0. At that time, the structure is considered to be in a healthy state. At that time, the structure was abnormal; in this example, Therefore, components In the stage Assessed as being in a healthy state; Explanation of the innovative aspects of the formula: The advantage of this formula lies in its ability to assess structural variations in terms of differentiation by incorporating the standard deviation of the response values, the average deviation of the energy input, and the absolute deviation of the drift response. Compared to traditional methods that rely on only a single parameter, this formula effectively reflects the structural health.

[0035] S403: Based on the characteristics of stage behavior amplitude, identify the numbering intervals of structural loosening, connection stress fluctuation and response drift in continuous stages, arrange the correspondence between each stage number and task status, and obtain stage component abnormality information labels. First, during construction, the fluctuation range of each number was meticulously confirmed based on the numbered list recorded by the inspection team. The structural loosening observed in consecutive phases was divided into three intervals based on the millimeter values ​​recorded by the vibration sensors: 0-1 mm, 1-3 mm, and 3-5 mm. If the same number repeatedly crossed the 3 mm range within a consecutive phase, that number was marked as a high-risk structural loosening number and marked in red in the record sheet. Then, combining the connection stress fluctuations, a correspondence was established between the tensile or compressive force changes recorded by the sensors and the component number. If the tensile or compressive force changed by more than 15% within a one-minute interval, the number was considered to have stress fluctuation risk. For example, if the stress recorded for number K06 increased from 50 kN to 58 kN in the middle phase, the fluctuation range reached 16%, and this should be noted next to it. Further comparison of response drift was conducted. The offset direction data of the number recorded by the inertial sensor was divided into horizontal and vertical coordinates. If the offset... If the amount exceeds 10 mm, record the number and add a label. Then, integrate the above three behavioral characteristics and match them in the record table to determine whether they occur in the same stage interval. If the number was recorded as loose in the initial stage and stress fluctuation was detected in the commissioning stage, both stages need to be marked at the same time and the corresponding construction operation time should be recorded separately to ensure the cross-stage correlation of the numbers. Then, the order of these numbers is compared again to confirm whether each number is constructed in accordance with the project drawings. If there is a disordered numbering, it is necessary to prompt for supplementation and on-site verification. For example, if K08 appears in the commissioning stage but is not recorded in the middle stage, it should prompt for supplementation of the status information of the middle stage. At the same time, the status of adjacent numbers K09 and K10 in the same stage should be aligned and marked to ensure the logical continuity of the numbering. After completing the stage behavior distribution and number status partitioning, the number, amplitude, stage time and operation status can be summarized into a list to finally obtain the stage component abnormality information label.

[0036] The specific steps of S5 are as follows: S501: Based on the numbering data in the component anomaly information labels of the stage, trace the spatial continuity of the numbering in the power supply structure diagram, match the numbering information with the coordinates of the power supply structure nodes, determine whether the numbering path has a continuous arrangement in the structure diagram, and obtain the spatially continuous sequence of the numbering. First, during the inspection of the power supply guide rail nodes, the construction team sequentially retrieves all numbers marked with anomalies and matches them to the actual spatial location on the construction drawings, referring to the node coordinate list recorded on the structural drawings. If the status of a number has changed at different construction stages, multiple records of that number need to be listed separately and their relative coordinate positions compared. On-site construction personnel can use a laser rangefinder or handheld ranging device to obtain the current coordinate values ​​of the actual points of the number, and then align them one by one with the coordinates on the drawings. If the number has an offset of more than 20 mm in the X or Y direction, it is marked as a suspicious path node. The path numbering order is then rearranged according to the time sequence of the number records to ensure logical continuity in the construction progress direction when tracing the path. For example, number M12 was located at X=550mm during the construction and commissioning stage. If X=520mm in the middle section, it can be determined that its movement range is 30mm and an offset mark should be made. Continue to confirm whether the position change is caused by normal construction scheduling. If scheduling reasons are ruled out, it should be included in the continuity assessment. Then compare the coordinates of adjacent numbers M13 and M14 to see if the number difference is consistent with the distance difference on the drawing. If they are consistent, continue to investigate. Otherwise, it needs to be split into two independent path records. In addition, in the component position matching, the upstream and downstream current supply direction relationship of each number record should be matched. The flow direction should be checked in the order from the start to the end of the power supply. If the flow direction order contradicts the number arrangement, it should be prompted for review and marked in red in the table. Combine the above numbers to form a number tracing path on the plan with the number order, the coordinate difference within the allowable range, and the flow direction consistent. Finally, a number spatial continuous sequence is obtained.

[0037] S502: Based on the continuous sequence of the numbering space, check the original connection relationship of the cross-stage numbering in the structure diagram, and compare the arrangement trend of the nodes in the structural coordinate interval to filter the numbering paths that are spatially continuous and obtain the numbering connection relationship interval. First, during the construction technical team's review of the drawings, all cross-stage numbers were read line by line. The numbering sequence was manually compared from the starting node to the ending node according to the original connection relationship of the power supply rails drawn on the drawings. The corresponding connection point positions were then marked sequentially in the numbering list. If the connection direction of the same number appeared in different sections across stages, it was necessary to verify on-site whether it was due to changes made during construction or the addition of temporary nodes. For example, number P08 should have been connected at the end of the commissioning stage on the drawing, but the record shows it on a branch line in the middle section. The reason needed to be checked on-site and noted. Continuous verification was then conducted on the positional trend of each number within the coordinate range of the drawings. The order of the X and Y coordinates was recorded. If a sudden change occurred in the coordinate range, it was necessary to compare it with adjacent numbers to determine whether it was affected by equipment scheduling or caused by structural construction errors. Offset notes were then added to the record table. For example, number P10... Any offset exceeding 30 mm in the coordinate trend must be marked as abnormal in the table. Furthermore, the numbering of these cross-stage numbers must be arranged according to the original design's current supply direction logic. The flow direction numbers from the power supply access point to the end power supply area must be manually checked to ensure there are no reverse orders or duplicates. If any cross-stage misalignment is found, the order must be rearranged according to the construction drawings, and the modification time must be recorded in the remarks. Continuing to follow the coordinate sorting logic, the coordinate variation between adjacent nodes in each segment must be screened to determine if it falls within the allowable construction error range, using a standard error of 10 mm as the benchmark. If the error between adjacent numbers exceeds the standard, they must be separated into independent segments and reclassified. Simultaneously, missing numbering information must be filled in between the numbers, and a secondary comparison must be made with the project material ledger to confirm consistency between the numbers and material configurations. If any missing information is found in the ledger, the warehousing department should supplement the information. Finally, all numbers are summarized according to spatial continuity and power supply connection direction to obtain the numbering connection relationship interval.

[0038] S503: Based on the numbering connection relationship interval, sort the position of the numbering in the structure diagram according to the phase distribution, and mark the numbering interval in the continuous path. Delineate the path according to the phase distribution to obtain the phased structural risk path diagram group during the construction period. Firstly, during the review of construction drawings and on-site inspections, the spatial location corresponding to each number should be sorted according to the construction progress of each stage. Construction personnel need to compare the numbering list marked on the structural drawings with the timetable of phased construction tasks, recording each number sequentially from upstream to downstream or from entrance to end according to the structural drawing order to prevent numbering confusion during phase transitions. Simultaneously, when dividing continuous path numbers into segments, the node coordinates of adjacent numbers should be compared first. If the coordinate distance between two adjacent numbers is found to be greater than the allowable node distance tolerance value in the structural drawing, a new segment boundary marker needs to be inserted in the table. For example, if numbers Q11 and Q12 differ by 800 mm in the X direction, but the maximum tolerance in the drawing design is only 50 mm, then numbering should be split into a new segment after Q11. Each segment number should then be further sorted according to the time dimension. The process involves differentiating stages, such as using different colors to number and identify the initial, intermediate, and commissioning stages. Each path segment is then marked with its start and end positions on the structural diagram and stored in an electronic ledger. Simultaneously, a record sheet is used to document any overlapping stages among adjacent numbers. For example, if Q15 is recorded in the intermediate stage and appears in the commissioning stage, a duplicate mark is added to the intermediate stage record sheet, and the stage source is added to the commissioning record sheet to ensure traceability of the numbering source. Next, each number within a continuous path is compared against the arrangement trend in the structural coordinate interval. If the numbering order reverses the current supply direction, the numbering table needs to be rechecked and a review request is issued. On-site construction review personnel then readjust the reversed numbering. Finally, each path segment is summarized according to its stage range, and a structural risk identifier is generated in the electronic chart. All numbered paths are summarized and output according to construction stages, resulting in a phased structural risk path map set for the construction period.

[0039] The above are merely preferred embodiments of the present invention and are not intended to limit the present invention in any other way. Any person skilled in the art may make changes or modifications to the above-disclosed technical content to create equivalent embodiments that can be applied to other fields. However, any simple modifications, equivalent changes, and modifications made to the above embodiments based on the technical essence of the present invention without departing from the scope of the present invention shall still fall within the protection scope of the present invention.

Claims

1. A risk assessment method for the construction phase of a zero-carbon transportation system based on non-stop energy replenishment, characterized in that, Includes the following steps: S1: Obtain the abnormal frequency of the connection node between the guide rail and the receiving arm under the non-stop power replenishment scenario, match discontinuous contact and voltage change, divide the continuous interval according to the signal amplitude of the interruption segment, and obtain the power supply fluctuation node mark set; S2: Based on the power supply fluctuation node marker set, detect the response frequency bands of the suspension and flexible transmission components, analyze the continuous actions in the same stage, filter the component combinations with the same offset direction and angular velocity, arrange the numbers in order, and obtain the list of abnormal behavior chains of component linkage. S3: Based on the list of abnormal behavior chains of the component linkage, check the spatial position of the abnormal chain number in the rail power supply structure diagram, determine the continuous layout and filter the linear connection trend, arrange them according to the connection direction, and obtain the regional abnormal activity group record. S4: Based on the abnormal activity group records of the area, retrieve the task status of the component in the early stage, middle stage and commissioning stage of construction, analyze the stage performance of structural loosening, stress fluctuation and response drift, and obtain stage component abnormal information tags. S5: Based on the abnormal information tags of the phased components, trace the spatial continuity of the numbered path in the power supply diagram, rearrange the cross-phase components according to the original connection relationship and mark their positions to obtain a phased structural risk path diagram group during the construction period. The specific steps of S2 are as follows: S201: Based on the numbering data in the power supply fluctuation node marker set, detect the response change frequency bands of the hanging components and flexible conductive connection components corresponding to the numbering data, serialize and map the component number and the response change frequency band value, monitor the continuous state of the frequency band value within the numbering interval, and obtain the component response change sequence. S202: Based on the component response change sequence, calculate the change amplitude of the component number in the response change frequency band, and at the same time determine the continuous interval distribution of the amplitude in the same operating stage, filter the component number combination with the numbering order and the change amplitude trend to obtain the continuous number group of component amplitude. S203: Based on the continuous numbering group of the component amplitude, arrange the order of the component numbers in the action response, and filter the number range with consistent offset direction markings and consistent angular velocity change trends according to the offset direction markings and the trend of angular velocity increase or decrease, to obtain a list of abnormal behavior chains of component linkage.

2. The risk assessment method for the construction period of a zero-carbon transportation system based on non-stop energy replenishment as described in claim 1, characterized in that, The power supply fluctuation node marker set includes node number, discontinuous contact number, and voltage change range; the component linkage abnormal behavior chain list includes response frequency band, action continuity, and linkage component sequence; the regional abnormal activity group record includes spatial location linear relationship, number connection trend, and path arrangement sequence; the phased component abnormal information label includes structural loosening state, connection stress fluctuation, and response drift characteristics; and the construction period phased structural risk path map group includes cross-phase numbered path, spatial location relationship, and phase distribution.

3. The risk assessment method for the construction period of a zero-carbon transportation system based on non-stop energy replenishment as described in claim 1, characterized in that, The specific steps of S1 are as follows: S101: Obtain the connection area nodes of the rail-side embedded power supply guide rail structure and the sliding contact power receiving arm access end under the non-stop power replenishment scenario, monitor the power supply abnormality frequency of the nodes in the continuous operation state, match the node number and voltage change value in the non-continuous contact state, and obtain the node abnormality sequence. S102: Based on the node anomaly sequence, for the signal amplitude data in the segmented interruption segment, compare the duration of adjacent nodes in the number sequence within the signal amplitude interval, identify the duration sequence of the differential interval, and obtain the duration interval. S103: Based on the duration interval, filter the continuous distribution of the numbers in the interruption interval, associate the frequency of voltage changes and non-continuous contact, arrange the start and end positions of the numbers in the continuous interval, and obtain the power supply fluctuation node marker set.

4. The risk assessment method for the construction period of a zero-carbon transportation system based on non-stop refueling as described in claim 1, characterized in that, The formula for calculating the variation amplitude of the component number in the response variation frequency band is as follows: ； in, Representative component number The amplitude of change in the frequency band of the phase response change. Representative number In the The response amplitude during the second monitoring Representative number In the The voltage difference between adjacent measurements in this monitoring. Representative number In the Contact duration of the secondary monitoring node. Representative number Reference value for structural loosening at the stage Representative number Number of discontinuous contacts during the phase Number Total number of monitoring sessions in each phase Represents the component number sequence, Representing the The monitoring record number is as follows.

5. The risk assessment method for the construction period of a zero-carbon transportation system based on non-stop refueling as described in claim 1, characterized in that, The specific steps for S3 are as follows: S301: Based on the component number data in the component linkage abnormal behavior chain list, check the spatial position of the number data in the rail surface power supply structure diagram, match the number with the node coordinates in the structure diagram, analyze the continuous distribution state of the number sequence in the coordinate interval of the structure diagram, and obtain the component spatial position sequence. S302: Based on the spatial position sequence of the components, calculate the spatial coordinate direction angle of adjacent numbered nodes, and at the same time determine whether the direction angle is maintained within the range of change of continuous connection in the structural diagram. Filter out the numbered combinations of continuously changing direction angle sequences to obtain a continuous direction angle numbering sequence. S303: Based on the continuous directional angle numbering sequence, arrange the connection direction order of the numbers in the spatial nodes, and at the same time analyze the consistency of the change of the numbering coordinate direction vector under the linear connection trend, filter the continuous numbering path, and obtain the regional abnormal activity group record.

6. The risk assessment method for the construction period of a zero-carbon transportation system based on non-stop refueling as described in claim 5, characterized in that, The formula for calculating the spatial coordinate direction angle of adjacent numbered nodes is as follows: ; in, Representative node With nodes Spatial coordinate direction and angle, Representative node The sum of distances to surrounding reference nodes. Representative node The weight factor value, Representative node The sum of distances to surrounding reference nodes. Representative node The weight factor value, Representative node With nodes The sum of the absolute values ​​of the distance differences between the reference nodes. Representative node The average distance to surrounding reference nodes, Representative node With nodes The overall average distance This represents the average value of the weight factors for the numbered nodes.

7. The risk assessment method for the construction period of a zero-carbon transportation system based on non-stop refueling as described in claim 1, characterized in that, The specific steps of S4 are as follows: S401: Based on the component numbers recorded in the abnormal activity group record of the area, retrieve the task status of the number in the initial, middle and commissioning stages of construction, match the number information with the stage time interval, analyze the matching of number distribution with the operation time period, and obtain the component stage status sequence. S402: Based on the component stage state sequence, analyze the behavior values ​​of each number in structural loosening, connection stress fluctuation and response drift, calculate the composite stage behavior amplitude characteristic value, determine the behavior difference of the number within the stage interval, and obtain the stage behavior amplitude characteristic. S403: Based on the aforementioned stage behavior amplitude characteristics, identify the numbering intervals of structural loosening, connection stress fluctuations, and response drift in continuous stages, arrange the correspondence between each stage number and the task status, and obtain stage component abnormality information tags.

8. The risk assessment method for the construction period of a zero-carbon transportation system based on non-stop refueling as described in claim 7, characterized in that, The specific formula for calculating the fluctuation amplitude of structural loosening in the continuous stage of the numbering is as follows: ； in, Representative components In the stage The comprehensive response change index Representative components In the stage The The response value of the second monitoring, Representative components In the stage The average value of the response. Representative components In the stage The The energy input value monitored this time, Representative components In the stage The average value of energy input, Representative components In the stage The drift response value, Representative components The average value of the drift response across all stages. Represents the weighting coefficient of energy behavior. The weighting coefficients representing the drift term, This represents the drift normalization constant.

9. The risk assessment method for the construction period of a zero-carbon transportation system based on non-stop refueling as described in claim 1, characterized in that, The specific steps of S5 are as follows: S501: Based on the numbering data in the staged component abnormality information label, trace the spatial continuity of the numbering in the power supply structure diagram, match the numbering information with the coordinates of the power supply structure nodes, determine whether the numbering path has a continuous arrangement state in the structure diagram, and obtain the spatial continuous sequence of the numbering. S502: Based on the numbering spatial continuous sequence, check the original connection relationship of cross-stage numbers in the structure diagram, and compare the arrangement trend of nodes in the structural coordinate interval to filter out numbering paths with continuous spatial positions and obtain the numbering connection relationship interval. S503: Based on the numbering connection relationship interval, sort the positions of the numbers in the structure diagram according to the phase distribution, and mark the numbering intervals in the continuous path. Delineate the path according to the phase distribution to obtain the phased structural risk path diagram group for the construction period.

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