A power supply control method and multi-pulse rectifier transformer for tunnel lighting
By conducting in-depth analysis of the temperature, grounding current and vibration data of the multi-pulse rectifier transformer, and calculating the abnormality index to judge the fault condition, the problem of inaccurate fault detection in the existing technology is solved, and the detection accuracy and evaluation depth are improved.
Patent Information
- Application Number
- CN202410953429.6
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- Filing Date
- 2024-07-16
- Publication Date
- 2025-03-11
- Estimated Expiration
- 2044-07-16
AI Technical Summary
The prior art has poor results in the fault detection of multi-pulse rectifier transformers, which is difficult to fully reflect its health status, and in-depth data analysis is not possible, resulting in inaccurate fault detection.
By obtaining the temperature data, ground current data and vibration data of the multi-pulse rectifier transformer, combined with the temperature rise abnormality, correlation sudden coefficient, current standard and correlation abnormality factor, the abnormality index is calculated to judge the fault condition of the multi-pulse rectifier transformer.
The accuracy of fault detection of multi-pulse rectifier transformer is improved, and it avoids misjudgment of normal heating state as abnormal faults, and realizes a more in-depth and comprehensive evaluation of the operating state of multi-pulse rectifier transformer.
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Figure CN118919261B_ABST
Abstract
Description
Technical Field
[0001] The present application relates to the field of data processing technology, and in particular to a power supply control method and a multi-pulse rectifier transformer for tunnel lighting. Background Art
[0002] With the rapid development of national transportation infrastructure, the highway network continues to extend, and the number of tunnels passing through mountainous areas is increasing. As a key component of highways, the lighting system of tunnels is not only related to driving safety and driving comfort, but also the basic condition for tunnel emergency rescue and daily operation management. Traditional tunnel lighting mostly relies on high-voltage AC power supply, which has problems such as high energy consumption, complex maintenance, and high failure rate. Especially in the case of long-distance power supply, the power loss is serious and the power supply stability is difficult to guarantee. In the intelligent multi-pulse rectifier DC remote power supply system for tunnel lighting, the multi-pulse rectifier transformer can efficiently convert AC power into DC power to adapt to long-distance transmission and provide a stable DC power supply for tunnel lighting; at the same time, there is a transformer temperature acquisition module in the multi-pulse rectifier power supply cabinet, which can monitor the winding and core temperature in real time to ensure that the alarm is triggered when the temperature reaches the alarm threshold and the trip is triggered when the trip threshold is reached, and the alarm or trip signal is output through the hard contact and uploaded to the intelligent controller.
[0003] However, during long-term operation, multi-pulse rectifier transformers are prone to aging, overheating and other faults due to load changes, temperature fluctuations and other factors. Once the fault is not discovered and handled in time, it will directly lead to lighting interruption, affecting the safety of vehicles in the tunnel and may even cause traffic accidents. The existing technology usually only relies on simple temperature monitoring in the fault detection of multi-pulse rectifier transformers, which is difficult to fully reflect the health status of the multi-pulse rectifier transformer and difficult to conduct in-depth data analysis. Therefore, the fault detection effect of the multi-pulse rectifier transformer is not good and the potential fault cannot be accurately evaluated. Summary of the invention
[0004] In view of the above, it is necessary to provide a power supply control method for tunnel lighting, which improves the fault detection accuracy of the multi-pulse rectifier transformer compared with the traditional tunnel lighting power supply control method:
[0005] In a first aspect, an embodiment of the present application provides a power supply control method for tunnel lighting, the method comprising the following steps:
[0006] Obtain temperature data, ground current data and vibration data of multi-pulse rectifier transformers used for tunnel lighting at each collection time;
[0007] The temperature data is divided into segments based on the mutation data points in the temperature data, and the temperature rise abnormality of the multi-pulse rectifier transformer is determined based on the change of the temperature data of the segment with the largest range and the difference compared with the change of the temperature data at all acquisition moments;
[0008] Based on the relationship between the overall changes of all temperature data and all vibration data, compared with the difference in the relationship between the local changes of local temperature data and local vibration data, combined with the temperature rise abnormality and the difference in the changes between the local vibration data and all vibration data, determine the correlation mutation coefficient between temperature and vibration;
[0009] Based on the discrete degree and distribution range of the ground current data, the current standard of the ground current is determined;
[0010] Based on the relationship between the changing trends of ground current and temperature, combined with the changing trends of temperature, the abnormal factor of the correlation between ground current and temperature is determined;
[0011] Determine the abnormal index of the multi-pulse rectifier transformer by combining the correlation mutation coefficient, the correlation abnormality factor and the current standard degree;
[0012] Based on the temperature data, ground current data and vibration data of the multi-pulse rectifier transformer in a normal state, combined with the abnormal index, the fault condition of the multi-pulse rectifier transformer is judged.
[0013] In one embodiment, the process of determining the temperature rise abnormality is:
[0014] The temperature data are organized into a temperature data sequence according to the time series;
[0015] The mutation point detection algorithm is used to obtain the mutation data points in the temperature data sequence, and the temperature data sequence is divided into subsequences according to the mutation data points. The subsequence with the largest range is recorded as the temperature rise subsequence, and the mode in the temperature data sequence is recorded as the stable temperature value.
[0016] The subscript of the minimum value in the temperature rise subsequence in the temperature data sequence is marked as the initial subscript of the temperature rise;
[0017] Count the subscripts of all stable temperature values in the temperature data sequence, and record the minimum subscript value as the stable temperature subscript;
[0018] Calculate the difference between the maximum value and the stable temperature value in the temperature rise subsequence, and record it as the upward difference; calculate the difference between the minimum value and the stable temperature value in the temperature rise subsequence, and record it as the downward difference; calculate the sum of the downward difference and the parameter adjustment constant preset to be greater than 0, and calculate the ratio of the upward difference to the sum, and record it as the first ratio;
[0019] Calculate the difference between the mean of the data in the temperature rise subsequence and the stable temperature value, and record it as the stable difference; use the difference between the initial subscript of the temperature rise and the subscript of the stable temperature as the independent variable of the judgment function; forwardly fuse the stable difference with the range of the temperature rise subsequence, calculate the ratio of the result of the forward fusion to the calculation result of the judgment function, and record it as the second ratio;
[0020] taking the forward fusion result of the first ratio and the second ratio as the temperature rise abnormality of the multi-pulse rectifier transformer;
[0021] When the independent variable of the judgment function is greater than or equal to 0, the calculation result of the judgment function is 1, otherwise, the calculation result of the judgment function is -1.
[0022] In one embodiment, the process of determining the correlation mutation coefficient is:
[0023] The vibration data are organized into a vibration data sequence according to the time sequence;
[0024] According to the subscript range of the data in the temperature rise subsequence in the temperature data sequence, the corresponding data is extracted from the vibration data sequence to form a vibration rise subsequence;
[0025] Calculate the ratio of the data mean in the temperature rise subsequence to the data mean in the vibration rise subsequence, record it as the local ratio, calculate the ratio of the data mean in the temperature data sequence to the data mean in the vibration data sequence, record it as the overall ratio, calculate the difference between the local difference and the overall difference, record it as the mixed difference;
[0026] For the vibration rise subsequence, the temperature rise abnormality calculation method of the multi-pulse rectifier transformer is adopted to obtain the vibration rise abnormality of the multi-pulse rectifier transformer;
[0027] Determine the rise anomaly index between the temperature rise subsequence and the vibration rise subsequence by combining the temperature rise anomaly degree and the vibration rise anomaly degree;
[0028] The rising anomaly index is positively combined with the calculation result of the mixed difference to serve as the correlation mutation coefficient between temperature and vibration.
[0029] In one embodiment, the process of determining the rising anomaly index is as follows:
[0030] The mean of the temperature rise anomaly degree and the vibration rise anomaly degree, and the difference therebetween are calculated and recorded as the temperature-oscillation mean and the temperature-oscillation difference, respectively. The forward fusion result of the temperature-oscillation difference and the temperature-oscillation mean is used as the rise anomaly index between the temperature rise subsequence and the vibration rise subsequence.
[0031] In one embodiment, the process of determining the current standard of the ground current is:
[0032] For the ground current data, the ground current sequence is obtained according to the method of obtaining the temperature data sequence;
[0033] Count the maximum values in the ground current sequence;
[0034] The discreteness of the data in the ground current sequence and the extreme difference of the ground current sequence are forward fused, and the ratio of the number to the forward fusion result is used as the current standard of the ground current.
[0035] In one embodiment, the process of determining the abnormal factor of the correlation between the ground current and the temperature is as follows:
[0036] Based on the growth of the ground current, determine the ground current rise length;
[0037] The product of the ground current rise length and the preset ratio is rounded off to obtain a result as the temperature detection length;
[0038] The maximum value in the ground current sequence is recorded as the maximum ground current;
[0039] In the temperature data sequence, the data at the same position as the maximum value of the ground current in the ground current sequence is recorded as the temperature detection data;
[0040] Starting from the subscript of the temperature detection data, according to the temperature detection length, a section of data in the temperature data sequence is extracted forward, which is recorded as the temperature detection subsequence; starting from the data before the first data in the temperature detection subsequence, according to the temperature detection length, a section of data in the temperature data sequence is extracted forward, which is recorded as the temperature forward subsequence;
[0041] Calculate the difference between the minimum value and the stable temperature value in the temperature detection subsequence, and record it as the lower difference; calculate the difference between the mean value of the data in the temperature detection subsequence and the stable temperature value, and record it as the stable difference; forward combine the lower difference and the stable difference, and calculate the absolute value of the forward combination result;
[0042] Calculate the difference between the data at the same position in the temperature detection subsequence and the temperature forward shift subsequence, record it as the comparison difference, use the comparison difference as the independent variable of the judgment function, and calculate the cumulative value of the calculation results of all judgment functions corresponding to the temperature detection subsequence;
[0043] When the accumulated value is equal to the temperature detection length, the product of the accumulated value and the absolute value is used as the abnormal factor of the correlation between the ground current and the temperature; otherwise, the abnormal factor of the correlation between the ground current and the temperature is any value within the value range, and the value range is (0, temperature detection length).
[0044] In one embodiment, the process of determining the ground current rise length is:
[0045] Construct a sliding window of preset length, take the maximum value of the grounding current as the last data bit of the sliding window, slide the sliding window forward with a preset step length until the last data bit in the sliding window is at least smaller than one data bit in the sliding window, then stop sliding, mark the subscript of the last data bit in the sliding window in the grounding current sequence as the initial subscript of the current, and record the distance from the initial subscript of the current to the subscript of the maximum value of the grounding current as the grounding current rising length.
[0046] In one embodiment, the abnormality index is determined as follows:
[0047] The correlation mutation coefficient is forwardly fused with the correlation abnormality factor, and the abnormality index of the multi-pulse rectifier transformer is a forward combination of the inverse proportional mapping result of the current standard degree and the forward fusion result.
[0048] In one embodiment, the process of determining the fault condition of the multi-pulse rectifier transformer is as follows:
[0049] According to the temperature data, ground current data and vibration data of the multi-pulse rectifier transformer under normal conditions, the calculation method of the abnormal index of the multi-pulse rectifier transformer is adopted to obtain the normal index of the multi-pulse rectifier transformer;
[0050] When the difference between the abnormal index and the normal index of the multi-pulse rectifier transformer is greater than a preset abnormal threshold, it indicates that a fault occurs in the multi-pulse rectifier transformer during operation; otherwise, no fault occurs.
[0051] In a second aspect, an embodiment of the present application further provides a multi-pulse rectifier transformer for power supply control of tunnel lighting, comprising a memory, a processor, and a computer program stored in the memory and running on the processor, wherein the processor implements any of the steps of the power supply control method for tunnel lighting described above when executing the computer program. The present application has at least the following beneficial effects:
[0052] The present application considers the normal temperature rise phenomenon during the operation of the multi-pulse rectifier transformer and determines the temperature rise abnormality of the multi-pulse rectifier transformer, thereby solving the problem that the prior art may misdetect the multi-pulse rectifier transformer in a normal temperature rise state as an abnormal fault.
[0053] Considering that when the multi-pulse rectifier transformer is abnormally heated, the degree of change in vibration data will be inconsistent with the past, the correlation mutation coefficient between temperature and vibration is determined, and the change of vibration data when the multi-pulse rectifier transformer is heated is detected more accurately;
[0054] According to the stability characteristics of the ground current and the correlation characteristics of the temperature, the current standard and correlation abnormal factors are determined, which improves the insufficient data utilization of previous technologies and evaluates the operating status of the multi-pulse rectifier transformer in a more in-depth manner. This application conducts in-depth analysis of multi-source data, detects the operating status of the multi-pulse rectifier transformer in a more comprehensive manner, and improves the fault detection accuracy of the multi-pulse rectifier transformer. BRIEF DESCRIPTION OF THE DRAWINGS
[0055] In order to more clearly illustrate the technical solutions and advantages in the embodiments of the present application or the prior art, the drawings required for use in the embodiments or the prior art descriptions are briefly introduced below. Obviously, the drawings described below are only some embodiments of the present application. For ordinary technicians in this field, other drawings can be obtained based on these drawings without creative work.
[0056] Figure 1 A flowchart of a power supply control method for tunnel lighting provided in one embodiment of the present application;
[0057] Figure 2 It is a schematic diagram of the process of determining the abnormal degree of temperature rise;
[0058] Figure 3 The figure is a flow chart of determining the abnormal correlation factor;
[0059] Figure 4 Schematic diagram of the process of obtaining anomaly index. DETAILED DESCRIPTION
[0060] In the description of the embodiments of the present application, words such as "exemplary", "or", "for example" and the like are used to indicate examples, illustrations or descriptions. Any embodiment or design described as "exemplary" or "for example" in the embodiments of the present application should not be interpreted as being more preferred or more advantageous than other embodiments or designs. Specifically, the use of words such as "exemplary", "or", "for example" and the like is intended to present related concepts in a concrete manner.
[0061] Unless otherwise defined, all technical and scientific terms used herein have the same meaning as those commonly understood by those skilled in the art in the present application. The terms used in the present application are only for the purpose of describing specific embodiments and are not intended to limit the present application. It should be understood that, unless otherwise specified, " / " means or.
[0062] It should also be noted that the terms "first" and "second" in this application are used to distinguish similar objects, rather than to describe a specific order or sequence. The method disclosed in the embodiments of this application or the method shown in the flow chart includes one or more steps for implementing the method. Without departing from the scope of the claims, the execution order of multiple steps can be interchanged with each other, and some steps can also be deleted.
[0063] The following is a detailed description of a power supply control method for tunnel lighting and a specific solution of a multi-pulse rectifier transformer provided by the present application in conjunction with the accompanying drawings.
[0064] See also Figure 1 , which shows a flowchart of a power supply control method for tunnel lighting provided by an embodiment of the present application, the method comprising the following steps:
[0065] Step 1: Obtain temperature data, ground current data and vibration data of a multi-pulse rectifier transformer used for tunnel lighting at each collection time.
[0066] In the multi-pulse rectifier DC remote power supply system, the core is to convert the input AC 380V into DC 400V through the coordinated operation of the multi-pulse rectifier transformer and the rectifier module to achieve remote power supply for tunnel lighting.
[0067] In one embodiment of the present application, the multi-pulse rectifier transformer is a 12-pulse rectifier transformer.
[0068] In order to ensure the stable operation of the multi-pulse rectifier DC remote power supply system, the multi-pulse rectifier DC remote power supply system has a built-in data acquisition module to realize the collection of operation data of various components. This application uses the thermal resistance thermometer, vibration acceleration sensor, and through-type current transformer in the data acquisition module to collect relevant data of the 12-pulse rectifier transformer, and the collected data includes the temperature data, ground current data, and vibration data of the 12-pulse rectifier transformer.
[0069] In one embodiment of the present application, when collecting data, the collection time interval is 1 second, and the number of collections is 3600 times. The values of the collection time interval and the number of collections are preset manually and can be set by the implementer. This application does not impose any special restrictions.
[0070] The temperature data, vibration data and ground current data are respectively organized into temperature data sequence, vibration data sequence and ground current sequence according to the time series. In order to avoid the influence between data dimensions, the data in each sequence are normalized respectively to facilitate subsequent analysis.
[0071] In one embodiment of the present application, the maximum normalization method is used to normalize the data in the sequence. As other implementation methods, on the basis of being able to normalize the data, the implementer may use other existing technologies to normalize the data, and the present application does not impose any special restrictions.
[0072] Step 2: divide the temperature data into segments based on the mutation data points in the temperature data, and determine the temperature rise abnormality of the multi-pulse rectifier transformer based on the change of the segment of temperature data with the largest range and the difference compared with the change of the temperature data at all acquisition moments.
[0073] Under normal operation of the 12-pulse rectifier transformer, the temperature of the 12-pulse rectifier transformer usually fluctuates steadily, and the fluctuation is small. However, if the insulation material is aged or the cooling system is abnormal, the temperature of the 12-pulse rectifier transformer will continue to rise, showing a sharp rise. However, considering that the temperature of the 12-pulse rectifier transformer will continue to rise when the 12-pulse rectifier transformer just starts to operate, it is necessary to conduct a more in-depth analysis of the temperature data to determine whether the 12-pulse rectifier transformer is heating up normally or abnormally.
[0074] A mutation point detection algorithm is used to obtain mutation data points in the temperature data sequence, and the temperature data sequence is divided into subsequences according to the mutation data points.
[0075] In one embodiment of the present application, the BG (Bernaola Galvan) segmentation algorithm is used to obtain mutation data points in the temperature data sequence. As other implementation methods, on the basis of being able to obtain mutation data points in the temperature data sequence, the implementer may use other existing technologies to obtain mutation data points in the temperature data sequence, and the present application does not impose any special restrictions.
[0076] The subsequence with the largest range is recorded as the temperature rise subsequence. The mode in the temperature data sequence is recorded as the stable temperature value, reflecting the temperature condition of the 12-pulse rectifier transformer in stable operation.
[0077] Whether it is normal temperature rise or fault temperature rise, the temperature of the 12-pulse rectifier transformer continues to rise, so the subscript of the minimum value in the temperature rise subsequence in the temperature data sequence is marked as the initial subscript of the temperature rise. Since the stable temperature value corresponds to multiple data, the subscripts of all stable temperature values in the temperature data sequence are counted, and the minimum subscript is recorded as the stable temperature subscript.
[0078] Calculate the difference between the maximum value and the stable temperature value in the temperature rise subsequence, and record it as the upward difference; calculate the difference between the minimum value and the stable temperature value in the temperature rise subsequence, and record it as the downward difference; calculate the sum of the downward difference and the parameter adjustment constant preset to be greater than 0, and calculate the ratio of the upward difference to the sum, and record it as the first ratio;
[0079] Calculate the difference between the mean of the data in the temperature rise subsequence and the stable temperature value, and record it as the stable difference; use the difference between the initial subscript of the temperature rise and the subscript of the stable temperature as the independent variable of the judgment function; forwardly fuse the stable difference with the range of the temperature rise subsequence, calculate the ratio of the result of the forward fusion to the calculation result of the judgment function, and record it as the second ratio;
[0080] A forward fusion result of the first ratio and the second ratio is used as the temperature rise abnormality of the 12-pulse rectifier transformer.
[0081] Among them, when the independent variable of the judgment function is greater than or equal to 0, the calculation result of the judgment function is 1, otherwise, the calculation result of the judgment function is -1; the purpose of the adjustment parameter constant is to avoid the denominator being 0, and the value of the adjustment parameter constant is preset artificially. In one embodiment of the present application, the value of the adjustment parameter constant is 1.
[0082] It needs to be understood that: difference refers to the difference between the two, such as the absolute value relationship of the difference, the ratio relationship, etc., which can be set by the implementer according to the actual situation; positive fusion refers to combining multiple independent variables in a way that enhances the overall effect, such as the additive relationship, the multiplicative relationship, etc., which can be set by the implementer according to the actual situation.
[0083] In one embodiment of the present application, the difference is to calculate the absolute value of the difference between the two; the stable difference and the extreme difference of the temperature rise subsequence are summed, and the ratio of the summation result to the calculation result of the judgment function is calculated and recorded as the second ratio; the sum of the first ratio and the second ratio is used as the temperature rise abnormality of the 12-pulse rectifier transformer.
[0084] It should be noted that: if the temperature rise subsequence is the temperature of the 12-pulse rectifier transformer under normal heating state, the upward difference is small, the downward difference, the stable difference and the range of the temperature rise subsequence are large, and the first ratio is small; and because it is the operation data collection of the 12-pulse rectifier transformer, the initial temperature rise subscript value must be small, and the difference between the initial temperature rise subscript and the stable temperature subscript is negative, then the second ratio is negative. However, if the temperature rise subsequence corresponds to the temperature change of the 12-pulse rectifier transformer when it is abnormal, the upward difference, the stable difference and the range of the temperature rise subsequence are large, the downward difference is small, and the first ratio is large; and the difference between the initial temperature rise subscript and the stable temperature subscript is still a positive number, then the second ratio is large. At this time, if the temperature rise abnormality of the transformer is greater, it means that the possibility of abnormal heating of the 12-pulse rectifier transformer is greater, and the possibility of failure of the 12-pulse rectifier transformer is greater. The schematic diagram of the process of determining the temperature rise abnormality is as follows. Figure 2 shown.
[0085] So far, by analyzing the temperature change characteristics of the 12-pulse rectifier transformer and determining the temperature rise abnormality, the temperature change of the 12-pulse rectifier transformer has been evaluated.
[0086] Step 3, based on the relationship between the overall changes of all temperature data and all vibration data, compared with the difference in the relationship between the local changes of local temperature data and local vibration data, combined with the temperature rise abnormality and the difference in the changes between the local vibration data and all vibration data, determine the correlation mutation coefficient between temperature and vibration.
[0087] When the current passes through the 12-pulse rectifier transformer, the current in the winding generates an alternating magnetic field, which induces corresponding changes in magnetic flux in the iron core. At the same time, the winding itself will experience periodic stress changes due to the action of electromagnetic force, causing the winding to vibrate. Under normal circumstances, the vibration of the winding is gentle, but if the temperature rises abnormally, the high temperature will cause the winding to expand thermally, causing uneven distribution of mechanical stress, increasing friction or extrusion between the winding and other components, causing the vibration data to change. Therefore, the temperature data of the transformer has a certain influence on the vibration data.
[0088] According to the subscript range of the data in the temperature rise subsequence in the temperature data sequence, the corresponding data is extracted from the vibration data sequence to form a vibration rise subsequence.
[0089] Calculate the ratio of the data mean in the temperature rise subsequence to the data mean in the vibration rise subsequence, record it as the local ratio, calculate the ratio of the data mean in the temperature data sequence to the data mean in the vibration data sequence, record it as the overall ratio, calculate the difference between the local difference and the overall difference, record it as the mixed difference;
[0090] For the vibration rise subsequence, the calculation method of the temperature rise abnormality of the 12-pulse rectifier transformer is adopted to obtain the vibration rise abnormality of the 12-pulse rectifier transformer;
[0091] Calculate the mean of the temperature rise anomaly degree and the vibration rise anomaly degree, and the difference between them, record them as the temperature-oscillation mean and the temperature-oscillation difference, respectively, and use the forward fusion result of the temperature-oscillation difference and the temperature-oscillation mean as the rise anomaly index between the temperature rise subsequence and the vibration rise subsequence;
[0092] The rising anomaly index is positively combined with the calculation result of the mixed difference to serve as the correlation mutation coefficient between temperature and vibration.
[0093] It is important to understand that positive combination refers to combining multiple independent variables in a way that enhances the overall effect, such as additive relationship, multiplicative relationship, etc. Implementers can set it according to actual conditions.
[0094] In one embodiment of the present application, the product of the temperature-vibration difference and the temperature-vibration mean is used as the rise anomaly index between the temperature rise subsequence and the vibration rise subsequence; wherein the difference is the absolute value of the difference between the two; and the sum of the rise anomaly index and the mixed difference is used as the correlation mutation coefficient between temperature and vibration.
[0095] It should be noted that: under normal circumstances, the change trends of temperature data and vibration data are consistent and orderly, and the proportional relationship between temperature and vibration data is stable, so the mixed difference is small; at the same time, since the temperature rise abnormality and vibration rise abnormality are both small under no fault conditions, the rise abnormality is small, so the correlation mutation coefficient is small. If an abnormal situation occurs, the temperature abnormality increases sharply, which will cause the vibration of the winding to change. However, since temperature data and vibration data are two different types of monitoring data, the sharp rise trend of temperature is not consistent with the resulting vibration rise trend, and one will show a sharp rise and the other will rise relatively slowly. Therefore, the mixed difference and the rise abnormality index are large, so the correlation mutation coefficient between temperature and vibration is large. At this time, if the value of the correlation mutation coefficient between temperature and vibration is larger, it means that the difference between local data and overall data is greater, the proportional relationship between temperature data and vibration data is more likely to be changed, and the possibility of abnormality is greater.
[0096] Step 4: Determine the current standard of the grounding current based on the discreteness and distribution range of the grounding current data.
[0097] Similarly, the operating status of the 12-pulse rectifier transformer can also be evaluated by measuring the current in the grounding loop of the 12-pulse rectifier transformer. Under normal circumstances, the grounding current of the 12-pulse rectifier transformer is stable and relatively low, so the discreteness of the data in the grounding current sequence is small and the difference is small. However, if there are phenomena such as multi-point grounding and insulation damage, the grounding current of the 12-pulse rectifier transformer will increase abnormally, that is, the difference in the data in the grounding current sequence is large. At the same time, if the grounding current of the 12-pulse rectifier transformer increases abnormally, additional eddy current loss will be generated in the 12-pulse rectifier transformer, and the loss will be released in the form of heat energy, which will cause the temperature of the 12-pulse rectifier transformer to increase. Therefore, there is a certain degree of unidirectional influence between the grounding current sequence and the temperature data sequence of the 12-pulse rectifier transformer. Since the temperature cannot rise immediately, the data in the grounding current sequence increases first. After a period of time, the data in the temperature data sequence begins to increase, which has a certain temperature hysteresis.
[0098] The process of determining the current standard of the grounding current is:
[0099] Count the maximum values in the ground current sequence;
[0100] The discreteness of the data in the ground current sequence and the extreme difference of the ground current sequence are forward fused, and the ratio of the number to the forward fusion result is used as the current standard of the ground current.
[0101] It should be understood that the degree of dispersion can be represented by statistics such as variance, standard deviation or coefficient of variation that can describe the degree of uneven distribution of grayscale values; in one embodiment of the present application, the degree of dispersion is variance.
[0102] In one embodiment of the present application, the sum of the discreteness of all data in the ground current sequence, the range of the ground current sequence and a preset parameter adjustment constant greater than 0 is calculated and recorded as a first parameter adjustment sum value, and the ratio of the number to the first parameter adjustment sum value is used as the current standard of the ground current; wherein, the purpose of the parameter adjustment constant is to avoid the denominator being 0, and the value of the parameter adjustment constant is preset artificially. In this embodiment, the value of the parameter adjustment constant is 1.
[0103] It should be noted that: the greater the discreteness of the data in the grounding current sequence and the smaller the number of maximum values, the less it conforms to the changing characteristics of the grounding current of the 12-pulse rectifier transformer under a good operating state, which means that the possibility of abnormal conditions in the grounding current of the 12-pulse rectifier transformer is greater and the current standard of the grounding current is smaller.
[0104] Step 5: Based on the relationship between the changing trends of the ground current and the temperature and in combination with the changing trends of the temperature, determine the abnormal factor of the correlation between the ground current and the temperature.
[0105] The process of determining the abnormal factor of the correlation between ground current and temperature is as follows:
[0106] The maximum value in the grounding current sequence is recorded as the maximum grounding current, and a sliding window of preset length is constructed. The maximum grounding current is used as the last data bit of the sliding window, and the sliding window is slid forward at a preset step size until the last data bit in the sliding window is at least smaller than one data bit in the sliding window. Then the sliding is stopped, and the subscript of the last data bit in the sliding window in the grounding current sequence at this time is marked as the initial subscript of the current, and the distance from the initial subscript of the current to the subscript of the maximum grounding current is recorded as the grounding current rising length.
[0107] If the data in the ground current sequence is less than the preset length during the sliding process, zero padding is performed; if there are multiple maximum values in the ground current sequence, the ground current data with the largest subscript is recorded as the maximum ground current value.
[0108] In one embodiment of the present application, the preset length of the sliding window is 3, the preset step size is 1, and the values of the preset length and the preset step size are preset manually and can be set by the implementer. This application does not impose any special restrictions.
[0109] The product of the ground current rising length and the preset ratio is rounded off to a value that is used as the temperature detection length.
[0110] In an embodiment of the present application, the value of the preset ratio is one quarter. The implementer may limit the value of the preset ratio according to actual conditions, and the present application does not impose any special restrictions.
[0111] In the temperature data series, data at the same position as the maximum value of the ground current in the ground current series is recorded as temperature detection data.
[0112] Starting from the subscript of the temperature detection data, according to the temperature detection length, a section of data in the temperature data sequence is extracted forward, which is recorded as the temperature detection subsequence; starting from the data before the first data in the temperature detection subsequence, according to the temperature detection length, a section of data in the temperature data sequence is extracted forward, which is recorded as the temperature forward subsequence.
[0113] If the amount of data is insufficient when extracting data forward, zero padding is performed to ensure that the length of the temperature forward subsequence is consistent with the length of the temperature detection subsequence.
[0114] Calculate the difference between the minimum value and the stable temperature value in the temperature detection subsequence, and record it as the lower difference; calculate the difference between the mean value of the data in the temperature detection subsequence and the stable temperature value, and record it as the stable difference; forward combine the lower difference and the stable difference, and calculate the absolute value of the forward combination result;
[0115] Calculate the difference between the data at the same position in the temperature detection subsequence and the temperature forward shift subsequence, record it as the comparison difference, use the comparison difference as the independent variable of the judgment function, and calculate the cumulative value of the calculation results of all judgment functions corresponding to the temperature detection subsequence;
[0116] When the accumulated value is equal to the temperature detection length, the product of the accumulated value and the absolute value is used as the abnormal factor of the correlation between the ground current and the temperature; otherwise, the abnormal factor of the correlation between the ground current and the temperature is any value within the value range, and the value range is (0, temperature detection length).
[0117] It is important to understand that positive combination refers to combining multiple independent variables in a way that enhances the overall effect, such as additive relationship, multiplicative relationship, etc. Implementers can set it according to actual conditions.
[0118] In one embodiment of the present application, the difference is to calculate the difference between the two; and the forward combination is to calculate the sum of the lower difference and the stable difference.
[0119] In one embodiment of the present application, when the accumulated value is not equal to the temperature detection length, the value of the abnormal factor of the correlation between the ground current and the temperature is 1.
[0120] It should be noted that: if an abnormal situation occurs, although the temperature increase phenomenon has a lag compared to the ground current increase phenomenon, when the ground current reaches its maximum value, the temperature has already risen. At the same time, even if the temperature has a lag, the lag time will not be too long, and the temperature detection subsequence extracted according to the preset proportion of the continuous increase time of the ground current will also show an increasing trend. Since the temperature has been rising for a period of time, the difference below and the stable difference are both positive numbers with large absolute values. At the same time, because the temperature value continues to rise when the temperature is abnormal, the data in the temperature detection subsequence is greater than the data at the same position in the temperature forward subsequence, and the correlation abnormality factor is large. If no abnormal situation occurs, the correlation abnormality factor is small. The schematic diagram of the determination process of the correlation abnormality factor is shown in the figure. Figure 3 shown.
[0121] Step 6: Determine the abnormal index of the multi-pulse rectifier transformer by combining the correlation mutation coefficient, the correlation abnormality factor and the current standard degree.
[0122] The process of determining the abnormal index of the 12-pulse rectifier transformer is as follows:
[0123] The correlation mutation coefficient is forwardly fused with the correlation abnormality factor, and the abnormality index of the 12-pulse rectifier transformer is a forward combination of the inverse proportional mapping result of the current standard degree and the forward fusion result.
[0124] It should be understood that inverse proportional mapping means that the dependent variable and the independent variable present opposite change trends, such as a division relationship, a subtraction relationship, etc. The implementer can define it according to the actual situation.
[0125] In one embodiment of the present application, the product of the correlation mutation coefficient and the correlation abnormality factor is calculated and recorded as the mutation product, and the ratio of the mutation product to the current standard degree is used as the abnormality index of the 12-pulse rectifier transformer.
[0126] It should be noted that: when the value of the correlation mutation coefficient between temperature and vibration is larger, the possibility of a mutation in the proportional relationship between temperature and vibration is greater; when the value of the correlation abnormality factor between grounding current and temperature is larger, it means that the temperature data corresponding to the rise of grounding current is more consistent with the characteristics of abnormal temperature rise; when the value of the current standard degree of grounding current is smaller, it means that the fluctuation degree of data in the grounding current sequence is greater and the number of maximum values is smaller. Therefore, the larger the abnormality index, the greater the possibility of abnormality in the 12-pulse rectifier transformer; the smaller the abnormality index, the greater the possibility that the 12-pulse rectifier transformer is still operating stably. The schematic diagram of the abnormality index acquisition process is shown in the figure. Figure 4 shown.
[0127] Step 7: Based on the temperature data, ground current data and vibration data of the multi-pulse rectifier transformer in a normal state and in combination with the abnormal index, determine the fault condition of the multi-pulse rectifier transformer.
[0128] According to the temperature data, ground current data and vibration data of the 12-pulse rectifier transformer under normal conditions, the calculation method of the abnormal index of the 12-pulse rectifier transformer is adopted to obtain the normal index of the 12-pulse rectifier transformer. When the difference between the abnormal index and the normal index of the 12-pulse rectifier transformer is greater than the preset abnormal threshold, it means that the 12-pulse rectifier transformer has a fault during operation, and the 12-pulse rectifier transformer needs to be repaired in time, and the backup power supply is enabled at the same time to ensure stable remote power supply to the lighting in the tunnel; otherwise, the 12-pulse rectifier transformer has no fault during operation.
[0129] In one embodiment of the present application, the difference is the absolute value of the difference between the abnormal index and the normal index of the 12-pulse rectifier transformer; the preset abnormal threshold value is 0.5, and the value of the abnormal threshold value is preset manually and can be set by the implementer. This application does not impose any special restrictions.
[0130] Based on the same inventive concept as the above method, an embodiment of the present application also provides a multi-pulse rectifier transformer for power supply control of tunnel lighting, including a memory, a processor, and a computer program stored in the memory and running on the processor, and when the processor executes the computer program, the steps of any one of the above-mentioned power supply control methods for tunnel lighting are implemented.
[0131] In another embodiment of the present application, the multi-pulse rectifier transformer may be an 18-pulse rectifier transformer, and the fault condition of the 18-pulse rectifier transformer may be determined by using the method for determining the fault condition of a 12-pulse rectifier transformer.
[0132] In summary, the present application takes into account the normal temperature rise phenomenon during the operation of the multi-pulse rectifier transformer and determines the temperature rise abnormality of the multi-pulse rectifier transformer, thereby solving the problem that the prior art may misdetect the multi-pulse rectifier transformer in a normal temperature rise state as an abnormal fault.
[0133] Considering that when the multi-pulse rectifier transformer is abnormally heated, the degree of change in vibration data will be inconsistent with the past, the correlation mutation coefficient between temperature and vibration is determined, and the change of vibration data when the multi-pulse rectifier transformer is heated is detected more accurately;
[0134] According to the stability characteristics of the ground current and the correlation characteristics of the temperature, the current standard and correlation abnormal factors are determined, which improves the insufficient data utilization of previous technologies and evaluates the operating status of the multi-pulse rectifier transformer in a more in-depth manner. This application conducts in-depth analysis of multi-source data, detects the operating status of the multi-pulse rectifier transformer in a more comprehensive manner, and improves the fault detection accuracy of the multi-pulse rectifier transformer.
[0135] The flowchart and block diagram in the accompanying drawings show the possible architecture, function and operation of the system, method and computer program product according to the embodiment of the present disclosure. In this regard, each box in the flowchart or block diagram can represent a module, a program segment or a part of the code, and the module, the program segment or a part of the code contains one or more executable instructions for realizing the specified logical function. In some alternative implementations, the functions marked in the box can also occur in a different order from the order marked in the accompanying drawings. For example, two consecutive boxes can actually be executed substantially in parallel, and they can sometimes be executed in the opposite order, which can depend on the functions involved. In the description corresponding to the flowchart and the block diagram in the accompanying drawings, the operations or steps corresponding to different boxes can also occur in a different order from the order disclosed in the description, and sometimes there is no specific order between different operations or steps. For example, two consecutive operations or steps can actually be executed substantially in parallel, and they can sometimes be executed in the opposite order, which can depend on the functions involved. Each block in the block diagrams and / or flowcharts, and combinations of blocks in the block diagrams and / or flowcharts, may be implemented by a dedicated hardware-based system that performs the specified functions or actions, or may be implemented by a combination of dedicated hardware and computer instructions.
[0136] It is obvious to those skilled in the art that the present application is not limited to the details of the above exemplary embodiments, and that the present application can be implemented in other specific forms without departing from the basic features of the present application. Therefore, no matter from which point of view, the above embodiments of the present application should be regarded as exemplary and non-restrictive.
Claims
1. A power supply control method for tunnel lighting, characterized in that: The method comprises the following steps: Obtain temperature data, ground current data and vibration data of multi-pulse rectifier transformers used for tunnel lighting at each collection time; The temperature data is divided into segments based on the mutation data points in the temperature data, and the temperature rise abnormality of the multi-pulse rectifier transformer is determined based on the change of the temperature data of the segment with the largest range and the difference compared with the change of the temperature data at all acquisition moments; Based on the relationship between the overall changes of all temperature data and all vibration data, compared with the difference in the relationship between the local changes of local temperature data and local vibration data, combined with the temperature rise abnormality and the difference in the changes between the local vibration data and all vibration data, determine the correlation mutation coefficient between temperature and vibration; Based on the discrete degree and distribution range of the ground current data, the current standard of the ground current is determined; Based on the relationship between the changing trends of ground current and temperature, combined with the changing trends of temperature, the abnormal factor of the correlation between ground current and temperature is determined; Determine the abnormal index of the multi-pulse rectifier transformer by combining the correlation mutation coefficient, the correlation abnormality factor and the current standard degree; Based on the temperature data, ground current data and vibration data of the multi-pulse rectifier transformer in a normal state, combined with the abnormal index, the fault condition of the multi-pulse rectifier transformer is judged.
2. A power supply control method for tunnel lighting according to claim 1, characterized in that: The determination process of the temperature rise abnormality is as follows: The temperature data are organized into a temperature data sequence according to the time series; The mutation point detection algorithm is used to obtain the mutation data points in the temperature data sequence, and the temperature data sequence is divided into subsequences according to the mutation data points. The subsequence with the largest range is recorded as the temperature rise subsequence, and the mode in the temperature data sequence is recorded as the stable temperature value. The subscript of the minimum value in the temperature rise subsequence in the temperature data sequence is marked as the initial subscript of the temperature rise; Count the subscripts of all stable temperature values in the temperature data sequence, and record the minimum subscript value as the stable temperature subscript; Calculate the difference between the maximum value and the stable temperature value in the temperature rise subsequence, and record it as the upward difference; calculate the difference between the minimum value and the stable temperature value in the temperature rise subsequence, and record it as the downward difference; Calculate the sum of the downward difference and a preset parameter adjustment constant greater than 0, and calculate the ratio of the upward difference to the sum, which is recorded as a first ratio; Calculate the difference between the mean of the data in the temperature rise subsequence and the stable temperature value, and record it as the stable difference; take the difference between the initial subscript of the temperature rise and the subscript of the stable temperature as the independent variable of the judgment function; Forward fusion is performed on the stationary difference and the range of the temperature rise subsequence, and a ratio of the forward fusion result to the calculation result of the judgment function is calculated and recorded as a second ratio; taking the forward fusion result of the first ratio and the second ratio as the temperature rise abnormality of the multi-pulse rectifier transformer; When the independent variable of the judgment function is greater than or equal to 0, the calculation result of the judgment function is 1, otherwise, the calculation result of the judgment function is -1.
3. A power supply control method for tunnel lighting according to claim 2, characterized in that: The determination process of the associated mutation coefficient is: The vibration data are organized into a vibration data sequence according to the time sequence; According to the subscript range of the data in the temperature rise subsequence in the temperature data sequence, the corresponding data is extracted from the vibration data sequence to form a vibration rise subsequence; Calculate the ratio of the data mean in the temperature rise subsequence to the data mean in the vibration rise subsequence, record it as the local ratio, calculate the ratio of the data mean in the temperature data sequence to the data mean in the vibration data sequence, record it as the overall ratio, calculate the difference between the local ratio and the overall ratio, record it as the mixed difference; For the vibration rise subsequence, the temperature rise abnormality calculation method of the multi-pulse rectifier transformer is adopted to obtain the vibration rise abnormality of the multi-pulse rectifier transformer; Determine the rise anomaly index between the temperature rise subsequence and the vibration rise subsequence by combining the temperature rise anomaly degree and the vibration rise anomaly degree; The rising anomaly index is positively combined with the calculation result of the mixed difference to serve as the correlation mutation coefficient between temperature and vibration.
4. A power supply control method for tunnel lighting according to claim 3, characterized in that: The determination process of the rising anomaly index is as follows: The mean of the temperature rise anomaly degree and the vibration rise anomaly degree, and the difference therebetween are calculated and recorded as the temperature-oscillation mean and the temperature-oscillation difference, respectively. The forward fusion result of the temperature-oscillation difference and the temperature-oscillation mean is used as the rise anomaly index between the temperature rise subsequence and the vibration rise subsequence.
5. A power supply control method for tunnel lighting according to claim 2, characterized in that: The process of determining the current standard of the grounding current is as follows: For the ground current data, the ground current sequence is obtained according to the method of obtaining the temperature data sequence; Count the maximum values in the ground current sequence; The discreteness of the data in the ground current sequence and the extreme difference of the ground current sequence are forward fused, and the ratio of the number to the forward fusion result is used as the current standard of the ground current.
6. A power supply control method for tunnel lighting according to claim 5, characterized in that: The determination process of the abnormal factor of the correlation between the ground current and the temperature is as follows: Based on the growth of the ground current, determine the ground current rise length; The product of the ground current rise length and the preset ratio is rounded off to obtain a result as the temperature detection length; The maximum value in the ground current sequence is recorded as the maximum ground current; In the temperature data sequence, the data at the same position as the maximum value of the ground current in the ground current sequence is recorded as the temperature detection data; Starting from the subscript of the temperature detection data, according to the temperature detection length, a section of data in the temperature data sequence is extracted forward, which is recorded as the temperature detection subsequence; Starting from the data before the first data in the temperature detection subsequence, a section of data in the temperature data sequence is extracted forward according to the temperature detection length, and recorded as the temperature forward subsequence; Calculate the difference between the minimum value and the stable temperature value in the temperature detection subsequence, and record it as the lower difference; Calculate the difference between the mean of the data in the temperature detection subsequence and the stable temperature value, and record it as the stable difference; forward combine the lower difference and the stable difference, and calculate the absolute value of the forward combination result; Calculate the difference between the data at the same position in the temperature detection subsequence and the temperature forward shift subsequence, record it as the comparison difference, use the comparison difference as the independent variable of the judgment function, and calculate the cumulative value of the calculation results of all judgment functions corresponding to the temperature detection subsequence; When the accumulated value is equal to the temperature detection length, the product of the accumulated value and the absolute value is used as an abnormal factor of the correlation between the ground current and the temperature; Otherwise, the abnormal factor of the correlation between the ground current and the temperature is any value within a value range, and the value range is (0, temperature detection length).
7. A power supply control method for tunnel lighting according to claim 6, characterized in that: The process of determining the ground current rise length is as follows: Construct a sliding window of preset length, take the maximum value of the grounding current as the last data bit of the sliding window, slide the sliding window forward with a preset step length until the last data bit in the sliding window is at least smaller than one data bit in the sliding window, then stop sliding, mark the subscript of the last data bit in the sliding window in the grounding current sequence as the initial subscript of the current, and record the distance from the initial subscript of the current to the subscript of the maximum value of the grounding current as the grounding current rising length.
8. A power supply control method for tunnel lighting according to claim 1, characterized in that: The determination process of the abnormal index is as follows: The correlation mutation coefficient is forwardly fused with the correlation abnormality factor, and the abnormality index of the multi-pulse rectifier transformer is a forward combination of the inverse proportional mapping result of the current standard degree and the forward fusion result.
9. A power supply control method for tunnel lighting according to claim 1, characterized in that: The process of judging the fault condition of the multi-pulse rectifier transformer is as follows: According to the temperature data, ground current data and vibration data of the multi-pulse rectifier transformer under normal conditions, the calculation method of the abnormal index of the multi-pulse rectifier transformer is adopted to obtain the normal index of the multi-pulse rectifier transformer; When the difference between the abnormal index and the normal index of the multi-pulse rectifier transformer is greater than a preset abnormal threshold, it indicates that a fault occurs in the multi-pulse rectifier transformer during operation; otherwise, no fault occurs.
10. A multi-pulse rectifier transformer for power supply control of tunnel lighting, comprising a memory, a processor, and a computer program stored in the memory and running on the processor, characterized in that: When the processor executes the computer program, the steps of the power supply control method for tunnel lighting as described in any one of claims 1 to 9 are implemented.
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