A traction power supply system anomaly monitoring method
By real-time collection and analysis of branch currents and grounding device parameters of the traction power supply system, the problem of data omissions was solved, abnormal monitoring and early warning of traction return current and grounding devices were achieved, and the safe and stable operation of electrified railways was ensured.
Patent Information
- Application Number
- CN202411870303.9
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- Filing Date
- 2024-12-18
- Publication Date
- 2025-10-17
- Estimated Expiration
- 2044-12-18
AI Technical Summary
In existing technologies, the traction power supply system of electrified railways is prone to data omissions due to data collection frequency factors, resulting in deviations in multi-dimensional data analysis. This makes it difficult to effectively judge traction return current anomalies, especially during peak load periods, making it difficult to ensure personal and equipment safety.
The branch current values and grounding device performance parameters of the traction power supply system are collected in real time. Through statistical and correlation analysis, abnormal monitoring and early warning of the traction return branch current ratio and grounding device performance are achieved, including in-depth analysis and visual display of data.
It realizes the detailed and correlation analysis of multi-dimensional data of the traction power supply system, provides abnormal monitoring and early warning, and ensures the safe and stable operation of the electrified railway.
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Figure CN119619729B_ABST
Abstract
Description
Technical Field
[0001] The present invention belongs to the technical field of electrified railway monitoring, and in particular relates to a method for monitoring abnormalities in a traction power supply system. Background Art
[0002] Electrified railways, defined as those using electric traction, are a vital component of modern transportation. The traction power supply system is a key component of these systems. Ensuring the safe, stable, efficient, and energy-efficient operation of these systems is crucial to national economic development. Within these systems, the traction return and grounding devices are fundamental to maintaining safe and reliable railway operation, as well as the safety of operators and electrical equipment. They play a crucial role in ensuring the stable and reliable operation of the traction power supply system.
[0003] Specifically, my country's electrified railway traction power supply system usually adopts direct power supply with return line and AT power supply. The return path includes track return, wire (cable) return and ground return, such as Figure 1 The figure shows a schematic diagram of the existing traction return circuit. Under normal operation of the traction power supply system, the current share of each branch of the traction return circuit is generally stable. If the traction return circuit is not smooth, some lines and rails will be subjected to high currents, resulting in hidden dangers such as arcing of train insulation joints, burning of short leads, burning of rails, and damage to electrical equipment. This poses the risk of train suspension and maintenance, or even train accidents.
[0004] The grounding device within the station is primarily responsible for safely discharging lightning and short-circuit fault currents within the station. It also carries the traction return current from the catenary. Especially during train traffic, the grounding device must withstand peak loads, and the traction return current within the station reaches its peak. During this time, the specified performance parameters of the grounding device within the station (ground potential, step potential difference on the 27.5kV side, and contact potential difference) simultaneously reach their maximums. This is also when the safety risk of the grounding device is the highest. Its safety is directly related to the safety of railway equipment and personnel, as well as the reliable operation of the railway system.
[0005] In the prior art, there are monitoring devices for traction return current and grounding device parameters, so that workers can detect whether there are any abnormal conditions. However, in the process of using the prior art, the inventors found that the prior art has at least the following problems:
[0006] Due to the data acquisition frequency factor, data omission problem is prone to occur when synchronously collecting multiple traction return current values, which leads to deviation of statistical analysis. The existing technology is limited to basic data acquisition and data statistics in a single time period, and can only realize the functions of basic acquisition of traction return value and display of time-varying curve, lacks detailed analysis and correlation analysis of multi-dimensional data, and cannot provide effective judgment and analysis basis for traction return abnormality, so that the operation and management department is difficult to predict and handle possible risks according to the monitoring data, and it is difficult to fully guarantee personal and equipment safety during load peak (such as passing train), which constitutes a hidden danger for long-term safe operation of railway. SUMMARY
[0007] The present application aims to at least partially solve the above technical problems, and provides a traction power supply system abnormality monitoring method, system, electronic device and product.
[0008] In order to achieve the above purpose, the present application adopts the following technical scheme:
[0009] In the first aspect, the present application provides a traction power supply system abnormality monitoring method, comprising:
[0010] Real-time acquisition of traction return current value of each branch in the specified traction power supply system, and when the traction return current value of any branch reaches the preset trigger value, the current state of the specified traction power supply system is determined as the locomotive passing state, and then the specified performance parameter value of the grounding device of the specified traction power supply system is synchronously collected;
[0011] Statistical analysis of traction return current value of each branch during the locomotive passing state in the historical specified period is carried out, and the fluctuation range of traction return current proportion of each branch is obtained, so as to carry out traction return current value abnormality monitoring of each branch according to the fluctuation range of traction return current proportion of each branch during the current locomotive passing state;
[0012] The limit value of the specified performance parameter of the grounding device of the specified traction power supply system is obtained, and during the current locomotive passing state, the specified performance parameter value of the grounding device is monitored according to the limit value of the specified performance parameter of the grounding device, so as to carry out real-time abnormality reminding when the specified performance parameter value of the grounding device is abnormal;
[0013] Correlation analysis of traction return current value and specified performance parameter value of the grounding device of each branch during the locomotive passing state in the historical specified period is carried out, and the change trend function of the specified performance parameter of the grounding device is obtained, so as to carry out abnormal early warning of the grounding device state of the specified traction power supply system based on the change trend function of the specified performance parameter of the grounding device.
[0014] In one possible design, after determining that the current state of the designated traction power supply system is a locomotive passing state, the method further includes:
[0015] The traction return branch current values of each branch collected during the current locomotive passing state are summed respectively to obtain a summed value of the first branch current of each branch in the designated traction power supply system during the current locomotive passing state;
[0016] Summing the first branch current sum values of all branches during the current locomotive passing state to obtain a first aggregate current sum value;
[0017] Obtaining a first traction return branch current ratio of each branch in the designated traction power supply system during the current locomotive passing state according to a summed value of first branch currents of each branch in the designated traction power supply system during the current locomotive passing state and the summed value of the first aggregate current;
[0018] The current proportion of the first traction return branch of each branch in the designated traction power supply system during the current locomotive passing state is visually displayed.
[0019] In a possible design, during the current locomotive passing state, the first j The sum of the first branch currents of the branches is:
[0020] ;
[0021] Where, j ∈{1,2,3,…, m}, m The total number of branches in the designated traction power supply system; I i For the said j The branch is in the current locomotive passing state. i The traction return branch current value collected for the first time; n For the said j The total number of times the traction return branch current value is collected during the current locomotive passing state;
[0022] Correspondingly, the first aggregate current sum is:
[0023] ;
[0024] Where, Y j’ The first j’ The sum of the first branch currents of the branches, j’ ∈{1,2,3,…,m};
[0025] During the current locomotive passing state, the first j The current proportion of the first traction return branch of the branch is:
[0026] .
[0027] In one possible design, after determining that the current state of the designated traction power supply system is a locomotive passing state, the method further includes:
[0028] Obtaining the traction return branch current value of each branch during the locomotive passing state collected within a specified analysis period, and summing the traction return branch current values of each branch during the locomotive passing state collected within the specified analysis period to obtain a second branch current sum value of each branch within the specified analysis period;
[0029] Summing the second branch current sum values of each branch within the specified analysis period to obtain a second aggregate current sum value;
[0030] Obtaining a second traction return branch current proportion of each branch in the specified analysis period according to the sum of the second branch currents of each branch in the specified analysis period and the sum of the second aggregate current;
[0031] The proportion of the second traction return branch current of each branch within the specified analysis period is visualized.
[0032] In a possible design, the first j The sum of the second branch currents of the branches is:
[0033] ;
[0034] Where, j ∈{1,2,3,…, m}, m The total number of branches in the designated traction power supply system; I i For the said j The branch is the first one in the specified analysis period i The traction return branch current value collected for the second time, n’ For the said j The total number of times the traction return branch current value is collected for each branch within the specified analysis period;
[0035] Correspondingly, the second aggregate current sum is:
[0036] ;
[0037] wherein, Yd j’ is a second branch current summation value of the first branch in the designated traction power supply system in the designated analysis period, j’ j’ ∈{1,2,3,…, m};
[0038] is a first traction return branch current proportion of the first branch in the designated traction power supply system in the designated analysis period, j
[0039] .
[0040] In one possible design, the traction return branch current values of each branch during the locomotive passing state in the historical designated period are statistically analyzed to obtain the fluctuation range of the traction return branch current proportion of each branch, including:
[0041] The sub-traction return branch current proportions of each branch during all locomotive passing states in the historical designated period are obtained respectively;
[0042] The traction return branch current proportion calibration value of each branch is obtained according to one or more sub-traction return branch current proportions in all sub-traction return branch current proportions of each branch; the minimum value of the sub-traction return branch current proportion and the maximum value of the sub-traction return branch current proportion of each branch are extracted from the plurality of sub-traction return branch current proportions of each branch;
[0043] The fluctuation range of the traction return branch current proportion of each branch is obtained according to the traction return branch current proportion calibration value, the minimum value of the sub-traction return branch current proportion and the maximum value of the sub-traction return branch current proportion of each branch.
[0044] In one possible design, the fluctuation range of the traction return branch current proportion of any branch is: ; wherein, is the traction return branch current proportion calibration value of the any branch, is the minimum value of the sub-traction return branch current proportion of the any branch, is the maximum value of the sub-traction return branch current proportion of the any branch.
[0045] In one possible design, the traction return branch current value of any branch is monitored for abnormality according to the fluctuation range of the traction return branch current proportion of the any branch during the current locomotive passing state, including:
[0046] obtaining a first traction return branch current proportion of any branch during the current locomotive passing state according to the traction return branch current value of the any branch during the current locomotive passing state;
[0047] determining whether the first traction return branch current proportion of the any branch is within a fluctuation range of the traction return branch current proportion corresponding to the any branch, and if yes, determining that the traction return branch current value of the any branch is in a normal state, and if not, determining that the traction return branch current value of the any branch is in an abnormal state.
[0048] In a possible design, the specified performance parameter values of the grounding device include a ground potential of the specified traction power supply system, a step potential difference of 27.5 kV side, and a contact potential difference; correspondingly, the specified performance parameter limit values of the grounding device include a ground potential limit value, a step potential difference limit value, and a contact potential difference limit value; wherein the ground potential limit value is 2000 V; the step potential difference limit value is:
[0049] ;
[0050] In the formula, is a surface layer soil resistivity of an area where the grounding device of the specified traction power supply system is located; is a preset surface layer attenuation coefficient; is a preset grounding fault current duration;
[0051] The contact potential difference limit value is:
[0052] .
[0053] In a possible design, the traction return branch current values of each branch during the locomotive passing state in a historical specified period and the specified performance parameter values of the grounding device are analyzed for correlation to obtain a grounding device specified performance parameter change trend function, including:
[0054] obtaining the specified performance parameter values of the grounding device during all locomotive passing states in the historical specified period, and obtaining a third summation current summation value during all locomotive passing states in the historical specified period according to the traction return branch current of each branch during the locomotive passing state in the historical specified period;
[0055] taking the third summation current summation value during all locomotive passing states in the historical specified period as an independent variable, and taking the specified performance parameter values of the grounding device during all locomotive passing states in the historical specified period as a dependent variable, performing first-order function fitting to obtain a grounding device specified performance parameter change trend function.
[0056] In a second aspect, the present application provides a traction power supply system abnormality monitoring device for implementing the traction power supply system abnormality monitoring method according to any one of the preceding aspects; the traction power supply system abnormality monitoring device comprises:
[0057] a data acquisition module configured to acquire traction return branch current values of each branch in a specified traction power supply system in real time, and determine that a current state of the specified traction power supply system is a locomotive passing state when the traction return branch current value of any branch reaches a preset trigger value, and then synchronously acquire specified performance parameter values of a grounding device of the specified traction power supply system;
[0058] a traction return device abnormality monitoring module in communication connection with the data acquisition module, configured to statistically analyze traction return branch current values of each branch during the locomotive passing state in a historical specified period, and obtain fluctuation ranges of traction return branch current proportions of each branch, so as to perform traction return branch current value abnormality monitoring on each branch according to the fluctuation ranges of the traction return branch current proportions of each branch during the current locomotive passing state;
[0059] a grounding device real-time abnormality monitoring module in communication connection with the data acquisition module, configured to acquire specified performance parameter limit values of the grounding device of the specified traction power supply system, and perform abnormality monitoring on the specified performance parameter values of the grounding device according to the specified performance parameter limit values of the grounding device during the current locomotive passing state, so as to perform real-time abnormality reminding when the specified performance parameter values of the grounding device are abnormal;
[0060] a grounding device abnormality prediction module in communication connection with the data acquisition module, configured to perform correlation analysis on the traction return branch current values and the specified performance parameter values of each branch during the locomotive passing state in a historical specified period, and obtain a grounding device specified performance parameter change trend function, so as to perform abnormality early warning on a grounding device state of the specified traction power supply system based on the grounding device specified performance parameter change trend function.
[0061] In a third aspect, the present application provides an electronic device comprising:
[0062] a memory configured to store computer program instructions; and
[0063] a processor configured to execute the computer program instructions to complete the operations of the traction power supply system abnormality monitoring method according to any one of the preceding aspects.
[0064] In a fourth aspect, the present application provides a computer program product comprising computer programs or instructions, which, when executed by a computer, implement the traction power supply system abnormality monitoring method according to any one of the preceding aspects.
[0065] The beneficial effects of the present application are:
[0066] The present application discloses a traction power supply system anomaly monitoring method and system, electronic equipment and products, which can realize deep analysis and anomaly detection of collected data in the traction power supply system, and is beneficial to ensure the safe and stable operation of electrified railways. Specifically, after collecting data, the present application further acquires the fluctuation range of the traction return current branch current proportion of each branch according to the collected data, so as to perform traction return current branch current value anomaly monitoring on each branch, and can also perform real-time anomaly monitoring and anomaly early warning on the specified performance parameter value of the grounding device, realizes the detailed analysis and correlation analysis of multi-dimensional data, and can provide data support for the design or reconstruction of the traction return flow device and the grounding device for the operation and maintenance management department of the electrified railway, and is beneficial to ensure the long-term safe and stable operation of the electrified railway.
[0067] Other beneficial effects of the present application will be further described in the specific embodiments. BRIEF DESCRIPTION OF DRAWINGS
[0068] Figure 1 is the existing traction return flow schematic diagram;
[0069] Figure 2 is the flowchart of the traction power supply system anomaly monitoring method in embodiment 1;
[0070] Figure 3 is the visualization schematic diagram of the first traction return current branch current proportion of each branch during the period of the passing state of a locomotive of a certain traction power supply system in the example in embodiment 1;
[0071] Figure 4 is the combination schematic diagram of the scatter plot and correlation analysis curve in the example in embodiment 1. DETAILED DESCRIPTION
[0072] In order to more clearly illustrate the technical solutions in the embodiments of the present application or the prior art, the present application will be briefly introduced below in combination with the drawings and the description of the embodiments or the prior art. Obviously, the following description of the structure of the drawings is only some embodiments of the present application, and for those skilled in the art, other drawings can also be obtained without creative labor. It should be noted that the description of these embodiment modes is used to help understand the present application, but does not constitute a limitation on the present application.
[0073] Embodiment 1:
[0074] The embodiment discloses a traction power supply system abnormality monitoring method, which can be executed by a computer device or a virtual machine with certain computing resources, such as an electronic device like a personal computer, a smart phone, a personal digital assistant, or a wearable device, or a virtual machine.
[0075] As shown in the figure, a traction power supply system abnormality monitoring method can include the following steps: Figure 2
[0076] S1. Real-time collection of traction return branch current values of each branch in a specified traction power supply system, and when the traction return branch current value of any branch reaches a preset trigger value, the current state of the specified traction power supply system is determined to be a locomotive passing state, and then the specified performance parameter values of the grounding device of the specified traction power supply system are synchronously collected to obtain the collection data during the current locomotive passing state; it should be understood that in the embodiment, the branch in the specified traction power supply system can also be referred to as a traction return branch, which is abbreviated as "branch" herein. It should be noted that in the embodiment, when the traction return branch current value of any branch reaches the preset trigger value, the locomotive is considered to be entering the station, and when the return values of all branches are below the trigger value, the locomotive is considered to be leaving the station, based on which the time period of each passing event can be accurately defined to obtain the collection data during each locomotive passing state.
[0077] It should be noted that in the embodiment, in order to exclude the interference of stray current in the traction power supply system, effective data needs to be screened for statistical analysis, and data collection is only performed under specific conditions, that is, a trigger value is preset, and when the traction return branch current value of any branch reaches the preset trigger value, the current state of the specified traction power supply system is determined to be a locomotive passing state, and then the specified performance parameter values of the grounding device are synchronously collected, and the collection data of the traction return branch current value when the locomotive is not passing is screened out. In the embodiment, different types of traction power supply systems are provided with different trigger values. Specifically, when the traction power supply system is a partition station, an AT station (when the traction network adopts an AT power supply mode, a self-coupled transformer AT is arranged every 10 km along the railway, and the station is called an AT station), and an open and closed station, the trigger value is set to 5-50 A, and when the traction power supply system is a traction substation, the trigger value is set to 10-100 A.
[0078] After determining that the current state of the specified traction power supply system is a locomotive passing state in step S1, the method further includes:
[0079] A1. Summing the traction return branch current values of each branch collected during the current locomotive passing state to obtain a first branch current summation value of each branch in the specified traction power supply system during the current locomotive passing state.
[0080] Specifically, in step A1, during the current locomotive passing state, the first j The sum of the first branch currents of the branches is:
[0081] ;
[0082] Where, j ∈{1,2,3,…, m}, m The total number of branches in the designated traction power supply system; I i For the said j The branch is in the current locomotive passing state. i The traction return branch current value collected for the first time; n For the said j The total number of times the traction return branch current value is collected during the current locomotive passing state; it should be understood that n The value is determined by the preset acquisition frequency. Since the train passing time is very short, in order to ensure the integrity of the data acquisition of the traction return branch current value, in this embodiment, the acquisition frequency of the traction return branch current value is set to 1Hz~50Hz. j After the traction return branch current value of a branch reaches a preset trigger value, the acquisition frequency of the specified performance parameter value of the grounding device is consistent with the acquisition frequency of the traction return branch current value, which is also 1Hz~50Hz.
[0083] A2. Sum the first branch current sum values of all branches during the current locomotive passing state to obtain a first aggregate current sum value; it should be noted that, in this embodiment, the first aggregate current sum value is also the aggregate value of the current flowing into the transformer of the traction power supply system from all branches during the current locomotive passing state.
[0084] Specifically, in step A2, the first aggregate current sum is:
[0085] ;
[0086] Where, Y j’ The first j’ The sum of the first branch currents of the branches, j’ ∈{1,2,3,…, m}.
[0087] A3. According to the sum of the first branch currents of each branch in the designated traction power supply system during the current locomotive passing state and the sum of the first aggregate current, the first traction return branch current proportion of each branch in the designated traction power supply system during the current locomotive passing state is obtained.
[0088] Specifically, in step A3, during the current locomotive passing state, the first j The current proportion of the first traction return branch of the branch is:
[0089] .
[0090] A4. Visually display the current proportion of the first traction return branch of each branch in the designated traction power supply system during the current locomotive passing state. It should be noted that the current proportion of the first traction return branch of each branch during the current locomotive passing state can be displayed in the form of, but not limited to, graphics, curves, and / or tables, so as to intuitively understand the current distribution of each branch. To improve the intuitiveness of the display, in this embodiment, a pie chart is used for display. Figure 3 A visual diagram of the current proportion of the first traction return branch of each branch of a traction power supply system during a locomotive passing state is given.
[0091] It should be noted that, based on the above steps A1 to A4, this embodiment can realize the analysis and monitoring of the proportion of the traction return branch current of each branch in the designated traction power supply system during the current locomotive passing state.
[0092] In step S1, after determining that the current state of the designated traction power supply system is a locomotive passing state, the method further includes:
[0093] B1. Obtain the traction return branch current value of each branch during the locomotive passing state collected within the specified analysis period, and sum the traction return branch current values of each branch during the locomotive passing state collected within the specified analysis period to obtain the second branch current sum value of each branch within the specified analysis period. For example, if the duration of the specified analysis period is 24 hours to 720 hours, this is not limited here. It should be noted that in this embodiment, the specified analysis period can be a historical period or a period from the current moment to the future, which is also not limited here.
[0094] Specifically, in step B1, the first j The sum of the second branch currents of the branches is:
[0095] ;
[0096] wherein, j ∈{1,2,3,…, m}, m is the total number of branches in the specified traction power supply system; I i is the traction return branch current value of the first branch in the specified analysis period, j is the traction return branch current value of the first branch in the specified analysis period, i is the total number of times of collecting the traction return branch current value of the first branch in the specified analysis period. n’ j B2. Sum the second branch current summation values of each branch in the specified analysis period to obtain a second total current summation value; it should be noted that the first total current summation value is also the total value of the current of all branches flowing into the transformer in the traction power supply system in the specified analysis period.
[0097] Specifically, in step B2, the second total current summation value is:
[0098]
[0099] ;
[0100] wherein, Yd j’ is the second branch current summation value of the first branch in the specified traction power supply system in the specified analysis period, j’ ∈{1,2,3,…, j’}, m .
[0101] B3. Obtain the second traction return branch current proportion of each branch in the specified analysis period according to the second branch current summation value of each branch in the specified analysis period and the second total current summation value.
[0102] Specifically, in step B3, the first traction return branch current proportion of the first branch in the specified traction power supply system in the specified analysis period is: j
[0103] .
[0104] B4. Visualize the second traction return branch current proportion of each branch in the specified analysis period. Based on this, the embodiment can realize monitoring of the traction return current in the specified period.
[0105] It should be noted that based on the above steps B1 to B4, the embodiment can realize analysis and monitoring of the traction return branch current proportion of each branch in the specified traction power supply system in the specified analysis period.
[0106] S2. Statistics and analysis are performed on the traction return branch current values of each branch during the locomotive passing state in the historical specified period to obtain the fluctuation range of the traction return branch current proportion of each branch, so as to perform abnormal monitoring on the traction return branch current value of each branch according to the fluctuation range of the traction return branch current proportion of each branch during the current locomotive passing state period; wherein, any locomotive passing state period is the period between the initial time when the specified traction power supply system is in the locomotive passing state and the time when the return value of all branches drops below the trigger value (i.e. not in the passing state).
[0107] In step S2 of the embodiment, statistics and analysis are performed on the traction return branch current values of each branch during the locomotive passing state in the historical specified period to obtain the fluctuation range of the traction return branch current proportion of each branch, including:
[0108] S201. The sub-traction return branch current proportions of each branch during all locomotive passing states in the historical specified period are obtained respectively;
[0109] S202. The traction return branch current proportion calibration value of each branch is obtained according to one or more of all sub-traction return branch current proportions of each branch; it should be noted that in the embodiment, the sub-traction return branch current proportion of the locomotive passing state corresponding to at least one locomotive normal running period in all sub-traction return branch current proportions of each branch can be selected, and the traction return branch current proportion calibration value of each branch is obtained according to the selected sub-traction return branch current proportion; specifically, when one sub-traction return branch current proportion is selected for a branch, the sub-traction return branch current proportion is taken as the traction return branch current proportion calibration value of the corresponding branch, and when multiple sub-traction return branch current proportions are selected for a branch, the average value of the multiple sub-traction return branch current proportions is taken as the traction return branch current proportion calibration value of the corresponding branch.
[0110] S203. The minimum value and the maximum value of the sub-traction return branch current proportion of each branch are extracted from the multiple sub-traction return branch current proportions of each branch; it should be understood that in the embodiment, the maximum value of the sub-traction return branch current proportion of any branch is the minimum value in the multiple sub-traction return branch current proportions of the any branch, and the minimum value of the sub-traction return branch current proportion is the maximum value in the multiple sub-traction return branch current proportions of the any branch.
[0111] S204. Obtain the fluctuation range of the traction return branch current proportion of each branch according to the traction return branch current proportion calibration value, the minimum value of the traction return branch current proportion of the sub-branch, and the maximum value of the traction return branch current proportion of the sub-branch of each branch.
[0112] Specifically, in step S204, the fluctuation range of the traction return branch current proportion of any branch is: ; wherein, is the traction return branch current proportion calibration value of the any branch, is the minimum value of the traction return branch current proportion of the sub-branch of the any branch, is the maximum value of the traction return branch current proportion of the sub-branch of the any branch.
[0113] Further, in step S2, the traction return branch current value of the any branch is monitored according to the fluctuation range of the traction return branch current proportion of the any branch during the current locomotive passing state, comprising:
[0114] S205. Obtain the first traction return branch current proportion of the any branch during the current locomotive passing state according to the traction return branch current value of the any branch during the current locomotive passing state; specifically, in the embodiment, the first traction return branch current proportion of the any branch during the current locomotive passing state can be obtained according to steps A1 to A4, which will not be described here.
[0115] S206. Determine whether the first traction return branch current proportion of the any branch is within the fluctuation range of the traction return branch current proportion corresponding to the any branch, if yes, it is determined that the traction return branch current value of the any branch is in a normal state, if not, it is determined that the traction return branch current value of the any branch is in an abnormal state.
[0116] Specifically, in the embodiment, when the traction return branch current value of the any branch is monitored according to the fluctuation range of the traction return branch current proportion of the any branch during the current locomotive passing state, the traction return branch current proportion of the any branch during the current locomotive passing state is obtained in advance, and then it is determined whether the data is within the fluctuation range of the traction return branch current proportion of the any branch, if yes, it is determined that the traction return branch current value of the any branch is in a normal state, if not, it is determined that the traction return branch current value of the any branch is in an abnormal state, and the abnormal detection result is used as a guidance basis for determining whether the any branch needs to be repaired.
[0117] S3. Obtain the specified performance parameter limit of the grounding device of the specified traction power supply system, and during the current locomotive passing state, monitor the specified performance parameter value of the grounding device according to the specified performance parameter limit of the grounding device, so as to provide real-time abnormal reminder when the specified performance parameter value of the grounding device is abnormal.
[0118] In step S1 of this embodiment, the specified performance parameter values of the grounding device include the ground potential of the specified traction power supply system, the step potential difference on the 27.5 kV side, and the contact potential difference. Correspondingly, in step S3, the specified performance parameter limits of the grounding device include the ground potential limit, the step potential difference limit, and the contact potential difference limit. The ground potential limit is 2000 V, which can be derived according to the current standard (GB / T 50065-2011 "Grounding Design Specification for AC Electrical Installations"); the step potential difference limit is:
[0119] ;
[0120] Where, The resistivity of the surface soil in the area where the grounding device of the designated traction power supply system is located, in Ω.m; is the preset surface attenuation coefficient; is the preset ground fault current duration, in seconds;
[0121] The contact potential difference limit is:
[0122] .
[0123] Specifically, in step S3 of this embodiment, the grounding device's designated performance parameter value is monitored for abnormalities based on the grounding device's designated performance parameter limit, so as to provide a real-time abnormality alert when the grounding device's designated performance parameter value becomes abnormal. Specifically, the real-time collected grounding device's designated performance parameter value is compared with the corresponding grounding device's designated performance parameter limit. If the real-time collected grounding device's designated performance parameter value is less than the corresponding grounding device's designated performance parameter limit, the grounding device's designated performance parameter value is determined to be normal; otherwise, it is determined to be abnormal. This configuration facilitates management personnel to promptly determine whether the grounding device is abnormal and to perform maintenance operations on the grounding device in the event of an abnormality.
[0124] S4. Perform correlation analysis on the traction return branch current values and the specified performance parameter values of the grounding device of each branch during the locomotive passing state within the historical specified period, and obtain the specified performance parameter change trend function of the grounding device, so as to issue an abnormal warning for the grounding device state of the specified traction power supply system based on the specified performance parameter change trend function of the grounding device.
[0125] In step S4, the traction return branch current values of each branch during the locomotive passing state and the ground device designated performance parameter values in the historical designated period are associated and analyzed to obtain a ground device designated performance parameter change trend function, including:
[0126] S401. Obtain the ground device designated performance parameter values during all locomotive passing states in the historical designated period, and obtain the third summary current summation values during all locomotive passing states in the historical designated period according to the traction return branch currents of each branch during the locomotive passing state in the historical designated period;
[0127] S402. Take the third summary current summation values during all locomotive passing states in the historical designated period as the independent variable, and take the ground device designated performance parameter values during all locomotive passing states in the historical designated period as the dependent variable, and perform first-order function fitting to obtain a ground device designated performance parameter change trend function. Specifically, in this embodiment, a rectangular coordinate system is established, the horizontal coordinate is digitally calibrated with the third summary current summation values during all locomotive passing states in the historical designated period, and the vertical coordinate is digitally calibrated with the ground device designated performance parameter values during all locomotive passing states in the historical designated period. Taking the ground potential as an example, a scatter plot in the scatter plot and correlation analysis curve combination diagram as shown in Figure 4 , can be obtained. Based on this, the ground device designated performance parameter change trend function can be fitted, and the correlation analysis curve corresponding to the function is shown by the solid line in Figure 4 . It should be noted that the ground device designated performance parameter change trend function can reflect the trend of the change of the ground device designated performance parameter with the third summary current summation value, which can be expressed as: , x , which represents the independent variable.
[0128] Specifically, in step S4 of this embodiment, the changing trend of the specified performance parameters of the grounding device of the specified traction power supply system along with the aggregated current sum value in the corresponding period can be obtained according to the changing trend function of the specified performance parameters of the grounding device. Based on this, an abnormal warning of the state of the grounding device of the specified traction power supply system can be realized. For example, it can be known that when the aggregated current sum value reaches a certain value, the specified performance parameters of the grounding device of the specified traction power supply system will exceed the limit abnormality, and the abnormal warning information of the grounding device can be sent to the management personnel of the specified traction power supply system in advance, so that the management personnel can judge whether the grounding device needs to be repaired according to the locomotive passing situation of the specified traction power supply system. For example, if the management personnel know that the number of locomotives passing simultaneously or the capacity increases in a certain period in the future and the corresponding aggregated current sum value will reach the certain value according to the locomotive passing situation of the specified traction power supply system, it is determined that the grounding device needs to be repaired in advance before a certain period, such as structural design or modification of the grounding device, to ensure the safety and reliability of the grounding system.
[0129] The embodiment can realize deep analysis and abnormality detection of collected data in the traction power supply system, and is beneficial to guarantee the safe and stable operation of the electrified railway. Specifically, in the implementation process of the embodiment, first, the traction return branch current values of each branch in a specified traction power supply system are collected in real time, and when the traction return branch current value of any branch reaches a preset trigger value, it is determined that the current state of the specified traction power supply system is a locomotive passing state, and then the specified performance parameter values of the grounding device of the specified traction power supply system are synchronously collected; then, the traction return branch current values of each branch during the locomotive passing state in a historical specified period are statistically analyzed to obtain the fluctuation range of the traction return branch current proportion of each branch, so as to perform abnormality monitoring on the traction return branch current values of each branch according to the fluctuation range of the traction return branch current proportion of each branch during the current locomotive passing state; then, the specified performance parameter limit values of the grounding device of the specified traction power supply system are obtained, and during the current locomotive passing state, the specified performance parameter values of the grounding device are monitored according to the specified performance parameter limit values of the grounding device, so as to perform real-time abnormality reminding when the specified performance parameter values of the grounding device are abnormal; finally, through correlation analysis on the traction return branch current values and the specified performance parameter values of the grounding device of each branch during the locomotive passing state in the historical specified period, a specified performance parameter change trend function of the grounding device is obtained, so as to perform abnormality early warning on the state of the grounding device of the specified traction power supply system based on the specified performance parameter change trend function of the grounding device. In this process, after collecting data, the fluctuation range of the traction return branch current proportion of each branch is further obtained according to the collected data to perform abnormality monitoring on the traction return branch current values of each branch, and the specified performance parameter values of the grounding device can also be monitored in real time and abnormality early warning is performed, realizing refined analysis and correlation analysis on multi-dimensional data, which can provide data support for the design or modification of the traction return device and the grounding device for the operation and maintenance management department of the electrified railway, and is beneficial to guarantee the long-term safe and stable operation of the electrified railway.
[0130] Embodiment 2
[0131] The embodiment discloses a traction power supply system abnormality monitoring device for realizing the traction power supply system abnormality monitoring method in embodiment 1; the traction power supply system abnormality monitoring device comprises:
[0132] a data collection module, configured to collect traction return branch current values of each branch in a specified traction power supply system in real time, and when the traction return branch current value of any branch reaches a preset trigger value, determine that the current state of the specified traction power supply system is a locomotive passing state, and then synchronously collect specified performance parameter values of a grounding device of the specified traction power supply system;
[0133] The traction return flow device abnormality monitoring module is in communication connection with the data acquisition module, is used for statistically analyzing the traction return flow branch current values of each branch during the locomotive passing state in a historical specified period, obtaining the fluctuation range of the traction return flow branch current proportion of each branch, so as to perform traction return flow branch current value abnormality monitoring on each branch according to the fluctuation range of the traction return flow branch current proportion of each branch during the current locomotive passing state period.
[0134] The ground device real-time abnormality monitoring module is in communication connection with the data acquisition module, is used for obtaining the ground device specified performance parameter limit value of the specified traction power supply system, and performing abnormality monitoring on the ground device specified performance parameter value according to the ground device specified performance parameter limit value during the current locomotive passing state period, so as to perform real-time abnormality reminding when the ground device specified performance parameter value is abnormal.
[0135] The ground device abnormality prediction module is in communication connection with the data acquisition module, is used for performing correlation analysis on the traction return flow branch current values and the ground device specified performance parameter values of each branch during the locomotive passing state in a historical specified period, obtaining a ground device specified performance parameter change trend function, so as to perform abnormality early warning on the ground device state of the specified traction power supply system based on the ground device specified performance parameter change trend function.
[0136] It should be noted that the working process, working details and technical effects of the traction power supply system abnormality monitoring device provided in Embodiment 2 can be referred to Embodiment 1, and will not be repeated here.
[0137] Embodiment 3
[0138] On the basis of Embodiment 1 or 2, the present embodiment discloses an electronic device, which can be a smart phone, a tablet computer, a notebook computer or a desktop computer, etc. The electronic device can be referred to as a user terminal, a portable terminal, a desktop terminal, etc. The electronic device comprises:
[0139] a memory for storing computer program instructions; and
[0140] a processor for executing the computer program instructions to complete the operations of the traction power supply system abnormality monitoring method according to any one of Embodiments 1.
[0141] Embodiment 4
[0142] On the basis of any one of the embodiments 1 to 3, the present embodiment discloses a computer program product comprising computer programs or instructions which, when executed by a computer, implement a traction power supply system anomaly monitoring method as described in any one of the embodiments 1. Wherein the computer can be a general-purpose computer, a special-purpose computer, a computer network or other programmable devices.
[0143] Obviously, those skilled in the art should understand that the modules or steps of the present application described above can be realized by general computing devices, which can be concentrated on a single computing device or distributed on a network composed of multiple computing devices, and optionally, they can be realized by program codes executable by computing devices, so that they can be stored in storage devices and executed by computing devices, or they can be respectively manufactured into individual integrated circuit modules, or multiple modules or steps among them can be manufactured into a single integrated circuit module to realize. Thus, the present application is not limited to any specific combination of hardware and software.
[0144] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present application, and not to limit them; although the present application has been described in detail with reference to the foregoing embodiments, those skilled in the art should understand that the technical solutions recorded in the foregoing embodiments can still be modified, or some technical features can be replaced equivalently. The modification or replacement does not make the essence of the corresponding technical solution deviate from the spirit and scope of the technical solutions of the embodiments of the present application.
Claims
1. A method for monitoring abnormalities in a traction power supply system, characterized in that: include: Real-time collection of traction return branch current values of each branch in a designated traction power supply system, and when the traction return branch current value of any branch reaches a preset trigger value, determination is made that the current state of the designated traction power supply system is a locomotive passing state, and then, designated performance parameter values of a grounding device of the designated traction power supply system are synchronously collected; The specified performance parameter values of the grounding device include the ground potential of the specified traction power supply system, the step potential difference and the contact potential difference on the 27.5 kV side; Perform statistical analysis on the traction return branch current values of each branch during the locomotive passing state within a specified historical period to obtain the fluctuation range of the traction return branch current proportion of each branch, so as to monitor the abnormal traction return branch current value of each branch according to the fluctuation range of the traction return branch current proportion of each branch during the current locomotive passing state; Obtaining a specified performance parameter limit value of a grounding device of the specified traction power supply system, and during a current locomotive passing state, performing abnormality monitoring on the specified performance parameter value of the grounding device according to the specified performance parameter limit value of the grounding device, so as to provide a real-time abnormality reminder when an abnormality occurs in the specified performance parameter value of the grounding device; A correlation analysis is performed on the traction return branch current values and the specified performance parameter values of the grounding device of each branch during the locomotive passing state within a historical specified period to obtain a trend function of the specified performance parameters of the grounding device, so as to issue an abnormal warning for the grounding device state of the specified traction power supply system based on the specified performance parameter change trend function of the grounding device.
2. The method for monitoring abnormality of a traction power supply system according to claim 1, characterized in that: After determining that the current state of the designated traction power supply system is a locomotive passing state, the method further includes: The traction return branch current values of each branch collected during the current locomotive passing state are summed respectively to obtain a summed value of the first branch current of each branch in the designated traction power supply system during the current locomotive passing state; Summing the first branch current sum values of all branches during the current locomotive passing state to obtain a first aggregate current sum value; Obtaining a first traction return branch current ratio of each branch in the designated traction power supply system during the current locomotive passing state according to a summed value of first branch currents of each branch in the designated traction power supply system during the current locomotive passing state and the summed value of the first aggregate current; The current proportion of the first traction return branch of each branch in the designated traction power supply system during the current locomotive passing state is visually displayed.
3. The method for monitoring abnormality of a traction power supply system according to claim 2, characterized in that: During the current locomotive passing state, the first j The sum of the first branch currents of the branches is: ; Where, j ∈{1,2,3,…, m }, m The total number of branches in the designated traction power supply system; I i For the said j The branch is in the current locomotive passing state. i The traction return branch current value collected for the first time; n For the said j The total number of times the traction return branch current value is collected during the current locomotive passing state; Correspondingly, the first aggregate current sum is: ; Where, Y j’ The first j’ The sum of the first branch currents of the branches, j’ ∈{1,2,3,…, m }; During the current locomotive passing state, the first j The current proportion of the first traction return branch of the branch is: 。 4. The method for monitoring abnormality of a traction power supply system according to claim 1, wherein: After determining that the current state of the designated traction power supply system is a locomotive passing state, the method further includes: Obtaining the traction return branch current value of each branch during the locomotive passing state collected within a specified analysis period, and summing the traction return branch current values of each branch during the locomotive passing state collected within the specified analysis period to obtain a second branch current sum value of each branch within the specified analysis period; Summing the second branch current sum values of each branch within the specified analysis period to obtain a second aggregate current sum value; Obtaining a second traction return branch current proportion of each branch in the specified analysis period according to the sum of the second branch currents of each branch in the specified analysis period and the sum of the second aggregate current; The proportion of the second traction return branch current of each branch within the specified analysis period is visualized.
5. The method for monitoring abnormality of a traction power supply system according to claim 4, characterized in that: The first j The sum of the second branch currents of the branches is: ; Where, j ∈{1,2,3,…, m }, m The total number of branches in the designated traction power supply system; I i For the said j The branch is the first one in the specified analysis period i The traction return branch current value collected for the second time, n’ For the said j The total number of times the traction return branch current value is collected for each branch within the specified analysis period; Correspondingly, the second aggregate current sum is: ; Where, Yd j’ The first j’ The sum of the second branch currents of the branches, j’ ∈{1,2,3,…, m }; The first j The current proportion of the first traction return branch of the branch is: 。 6. The method for monitoring abnormality of a traction power supply system according to claim 1, characterized in that: Statistical analysis is performed on the traction return branch current values of each branch during the locomotive passing state within a specified historical period to obtain the fluctuation range of the traction return branch current proportion of each branch, including: Obtaining the proportion of the sub-traction return branch current of each branch during the period of all locomotive passing states within the specified historical period; Obtaining a traction return branch current proportion calibration value of each branch based on one or more sub-traction return branch current proportions among all sub-traction return branch current proportions of each branch; extracting a minimum sub-traction return branch current proportion value and a maximum sub-traction return branch current proportion value of each branch from the multiple sub-traction return branch current proportions of each branch; According to the traction return branch current proportion calibration value of each branch, the minimum value of the sub-traction return branch current proportion and the maximum value of the sub-traction return branch current proportion, the fluctuation range of the traction return branch current proportion of each branch is obtained.
7. The method for monitoring abnormality of a traction power supply system according to claim 6, characterized in that: The fluctuation range of the traction return branch current ratio of any branch is: ;in, is the traction return branch current proportion calibration value of any branch, is the minimum value of the sub-traction return branch current proportion of any branch, The maximum value of the sub-traction return branch current proportion of any of the branches.
8. The method for monitoring abnormality of a traction power supply system according to claim 1, characterized in that: During the current locomotive passing state, the traction return branch current value abnormality monitoring is performed on any branch according to the fluctuation range of the traction return branch current ratio of any branch, including: Obtaining a first traction return branch current proportion of any one of the branches during the current locomotive passing state according to a traction return branch current value of any one of the branches during the current locomotive passing state; Determine whether the current proportion of the first traction return branch of any of the branches is within the fluctuation range of the current proportion of the traction return branch corresponding to any of the branches. If so, determine that the traction return branch current value of any of the branches is in a normal state. If not, determine that the traction return branch current value of any of the branches is in an abnormal state.
9. The method for monitoring abnormality of a traction power supply system according to claim 1, characterized in that: The specified performance parameter limits of the grounding device include ground potential limit, step potential difference limit and contact potential difference limit; wherein, the ground potential limit is: 2000V; the step potential difference limit is: ; Where, The resistivity of the surface soil in the area where the grounding device of the designated traction power supply system is located; is the preset surface attenuation coefficient; is the preset earth fault current duration; The contact potential difference limit is: 。 10. The method for monitoring abnormality of a traction power supply system according to claim 1, characterized in that: The correlation analysis between the traction return branch current value and the specified performance parameter value of the grounding device during the locomotive passing state of each branch within the historical specified period is performed to obtain the change trend function of the specified performance parameter of the grounding device, including: Obtaining a specified performance parameter value of the grounding device during all locomotive passing states within the specified historical period, and obtaining a third aggregate current sum value during all locomotive passing states within the specified historical period based on the traction return branch current of each branch during the locomotive passing state within the specified historical period; The sum of the third aggregate current during all locomotive passing states within the historical specified period is used as the independent variable, and the specified performance parameter value of the grounding device during all locomotive passing states within the historical specified period is used as the dependent variable. A first-order function fitting is performed to obtain a trend function of the specified performance parameter change of the grounding device.
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