Current fluctuation monitoring device, method and equipment for subway cable

Abstract

The invention discloses a current fluctuation monitoring device, method and equipment for a subway cable, and belongs to the technical field of electric power facilities. The device comprises a current data acquisition module used for acquiring current data of each preset position of a subway cable; the fluctuation identification module is used for identifying whether fluctuation exists in the current data; the associated data acquisition module is used for generating an activation signal of an associated sensor under the condition that the current data is identified to have fluctuation, so as to acquire associated data through the associated sensor; and the fault determination module is used for identifying whether the subway cable has a fault or not according to the associated data, and determining the fault type under the condition that the fault is identified to exist. According to the technical scheme, whether the metro cable has the fault or not is identified according to the current data and the associated data of the metro cable, the fault type is determined, the running state of the metro cable can be accurately monitored in real time, the fault hidden danger of the metro cable can be found in time, and the safety and reliability of metro running are guaranteed.

Description

Technical Field

[0001] The present application belongs to the technical field of electric power facilities, and specifically relates to a current fluctuation monitoring device, method and equipment for subway cables. Background Art

[0002] As the core carrier of urban public transportation, the reliability and safety of subway operation are related to the travel efficiency and life safety of the public. As the key hub of subway power transmission, cables are responsible for providing stable power supply for train traction systems and various auxiliary equipment.

[0003] The current fluctuation of subway cables will have a significant impact on the traction system of subway trains. As the core of subway train power output, the traction system relies on a stable power supply to accurately control the acceleration and speed of subway trains. Once the current fluctuates, the stability of the power obtained by the traction system is broken, resulting in deviations in the acceleration of the subway train and difficulty in maintaining a constant speed. This unstable operating state will not only reduce the smoothness of subway train operation and increase passengers' discomfort, but also cause additional alternating stress on the mechanical structure of the subway train, accelerate component wear, and shorten the service life of the equipment.

[0004] Therefore, how to accurately and in real time monitor whether there is fluctuation in subway cable current is an urgent problem that people in this field need to solve. Summary of the invention

[0005] The embodiments of the present application provide a current fluctuation monitoring device, method and equipment for subway cables, which aim to achieve real-time and accurate monitoring of the operating status of subway cables, timely discover hidden dangers of subway cable failures, and ensure the safety and reliability of subway operation.

[0006] In a first aspect, an embodiment of the present application provides a current fluctuation monitoring device for a subway cable, the device comprising:

[0007] A current data acquisition module, used to acquire current data at each preset position of the subway cable;

[0008] A fluctuation identification module, used to identify whether the current data fluctuates;

[0009] A correlation data acquisition module, configured to generate an activation signal of a correlation sensor when it is identified that the current data fluctuates, so as to acquire correlation data through the correlation sensor;

[0010] The fault determination module is used to identify whether the subway cable has a fault according to the associated data, and determine the fault type if it is identified that a fault exists.

[0011] In a second aspect, an embodiment of the present application provides a method for monitoring current fluctuations of a subway cable, the method comprising:

[0012] Acquire the current data of each preset position of the subway cable through the current data acquisition module;

[0013] Identify whether the current data fluctuates by a fluctuation identification module;

[0014] When the current data is identified as fluctuating, the associated data acquisition module generates an activation signal for the associated sensor, so as to acquire associated data through the associated sensor;

[0015] The fault determination module identifies whether the subway cable has a fault according to the associated data, and determines the fault type if it is identified that a fault exists.

[0016] In a third aspect, an embodiment of the present application provides an electronic device, which includes a processor, a memory, and a program or instruction stored in the memory and executable on the processor, wherein the program or instruction, when executed by the processor, implements the steps of the method described in the first aspect.

[0017] In the embodiment of the present application, the current data acquisition module is used to acquire the current data of each preset position of the subway cable; the fluctuation identification module is used to identify whether the current data fluctuates; the associated data acquisition module is used to generate an activation signal of the associated sensor when it is identified that the current data fluctuates, so as to acquire the associated data through the associated sensor; the fault determination module is used to identify whether the subway cable has a fault based on the associated data, and determine the type of fault when it is identified that a fault exists. The above-mentioned current fluctuation monitoring device for the subway cable can realize real-time and accurate monitoring of the operation status of the subway cable, timely discover hidden dangers of subway cable faults, and ensure the safety and reliability of subway operation by identifying whether the subway cable has a fault and determining the type of fault based on the current data and associated data of the subway cable. BRIEF DESCRIPTION OF THE DRAWINGS

[0018] Figure 1 It is a structural schematic diagram of a current fluctuation monitoring device for a subway cable provided in Example 1 of the present application;

[0019] Figure 2 It is a structural schematic diagram of a current fluctuation monitoring device for a subway cable provided in Example 2 of the present application;

[0020] Figure 3 It is a structural schematic diagram of a current fluctuation monitoring device for a subway cable provided in Example 3 of the present application;

[0021] Figure 4It is a structural schematic diagram of a current fluctuation monitoring device for a subway cable provided in Embodiment 4 of the present application;

[0022] Figure 5 It is a flow chart of a method for monitoring current fluctuations of subway cables provided in Embodiment 5 of the present application;

[0023] Figure 6 It is a structural diagram of an electronic device provided in Example 6 of the present application. DETAILED DESCRIPTION

[0024] In order to make the purpose, technical scheme and advantages of the present application clearer, the specific embodiments of the present application are further described in detail below in conjunction with the accompanying drawings. It is understood that the specific embodiments described herein are only used to explain the present application, rather than to limit the present application. It should also be noted that, for the convenience of description, only the part related to the present application but not all the contents are shown in the accompanying drawings. Before discussing the exemplary embodiments in more detail, it should be mentioned that some exemplary embodiments are described as processes or methods depicted as flow charts. Although the flow chart describes each operation (or step) as a sequential process, many of the operations therein can be implemented in parallel, concurrently or simultaneously. In addition, the order of each operation can be rearranged. The process can be terminated when its operation is completed, but it can also have additional steps not included in the accompanying drawings. The process can correspond to a method, a function, a procedure, a subroutine, a subprogram, etc.

[0025] The following will be combined with the drawings in the embodiments of the present application to clearly describe the technical solutions in the embodiments of the present application. Obviously, the described embodiments are part of the embodiments of the present application, rather than all the embodiments. All other embodiments obtained by ordinary technicians in this field based on the embodiments in the present application belong to the scope of protection of this application.

[0026] The terms "first", "second", etc. in the specification and claims of the present application are used to distinguish similar objects, and are not used to describe a specific order or sequence. It should be understood that the data used in this way can be interchangeable under appropriate circumstances, so that the embodiments of the present application can be implemented in an order other than those illustrated or described here, and the objects distinguished by "first", "second", etc. are generally of one type, and the number of objects is not limited. For example, the first object can be one or more. In addition, "and / or" in the specification and claims represents at least one of the connected objects, and the character " / " generally indicates that the objects associated with each other are in an "or" relationship.

[0027] The following, in conjunction with the accompanying drawings, describes in detail the current fluctuation monitoring device, method and equipment for subway cables provided in the embodiments of the present application through specific embodiments and their application scenarios.

[0028] Embodiment 1

[0029] Figure 1 Schematic diagram of the structure of the current fluctuation monitoring device for subway cables provided in Example 1 of the present application. Figure 1 As shown, the device comprises:

[0030] The current data acquisition module 110 is used to acquire the current data of each preset position of the subway cable;

[0031] A fluctuation identification module 120, used to identify whether the current data fluctuates;

[0032] The associated data acquisition module 130 is used to generate an activation signal of the associated sensor when it is identified that the current data fluctuates, so as to acquire associated data through the associated sensor;

[0033] The fault determination module 140 is used to identify whether the subway cable has a fault according to the associated data, and determine the fault type if it is identified that a fault exists.

[0034] This application is applicable to scenarios where subways are equipped with cables. Specifically, the identification of whether there is fluctuation in current data, the generation of activation signals, and the determination of whether there is a fault and its type can be performed by intelligent terminal devices. According to the determined fault type, the staff can take corresponding maintenance measures for the subway cables with faults to ensure the normal and safe operation of the subway.

[0035] Based on the above usage scenarios, it can be understood that the executor of the present application can be a smart terminal device, such as a desktop computer, a laptop computer, a mobile phone, a tablet computer, and interactive multimedia, etc., and no excessive limitations are made here.

[0036] The current data acquisition module 110 is used to acquire current data at each preset position of the subway cable.

[0037] Cable is a device used to transmit electricity or signals. Subway cables can be cable lines that provide power transmission for subway operation. They are responsible for transmitting electrical energy from the power supply system to various electrical equipment in the subway, such as traction motors, lighting systems, and ventilation systems, to ensure the normal operation of the subway.

[0038] The preset position may be a pre-set position on the subway cable where current data needs to be obtained based on factors such as the layout of the subway cable, power transmission characteristics, and fault-prone areas.

[0039] The current data may refer to the amount of charge passing through the conductor cross section of the subway cable per unit time. The current data of each preset position of the subway cable may be obtained by using devices such as current transformers arranged at each preset position.

[0040] The fluctuation identification module 120 is used to identify whether the current data has fluctuations.

[0041] The fluctuation of current data may refer to the situation that the current data fluctuates irregularly or regularly over a period of time.

[0042] The method for identifying whether the current data fluctuates is to determine a current trend line based on the current data and determine a deviation value between the current data and the current trend line. When the deviation value exceeds a preset deviation threshold, it is determined that the current data fluctuates.

[0043] The associated data acquisition module 130 is used to generate an activation signal of an associated sensor when it is identified that the current data fluctuates, so as to acquire associated data through the associated sensor.

[0044] The associated data may be data that may be associated with the event that the current data fluctuates. The associated sensor is a sensor used to obtain the associated data. The activation signal may be a readable signal used to activate the associated sensor to start working to obtain the associated data.

[0045] The associated data may include temperature data and voltage data, etc. Accordingly, the temperature data may be acquired through a temperature sensor, and the voltage data may be acquired through a voltage sensor.

[0046] The fault determination module 140 is used to identify whether the subway cable has a fault according to the associated data, and determine the fault type if it is identified that a fault exists.

[0047] The fault type may be different fault types classified according to the abnormal conditions and related characteristics of the subway cable. The method of identifying whether the subway cable has a fault according to the associated data and determining the fault type when it is identified as a fault may be that when the temperature data at the preset position exceeds the first preset temperature threshold, the subway cable is determined to have a fault and the fault type is determined to be cable overload, or when the temperature data at the cable connection position exceeds the second preset temperature threshold, the subway cable is determined to have a fault and the fault type is determined to be poor cable connection contact, or the voltage data is determined to have a drop amplitude and a change speed, and when the drop amplitude exceeds the preset amplitude threshold and the change speed exceeds the preset speed threshold, the subway cable is determined to have a fault and the fault type is determined to be cable short circuit.

[0048] In the present application example, the current data acquisition module is used to acquire the current data of each preset position of the subway cable; the fluctuation identification module is used to identify whether the current data fluctuates; the associated data acquisition module is used to generate an activation signal of the associated sensor when it is identified that the current data fluctuates, so as to acquire the associated data through the associated sensor; the fault determination module is used to identify whether the subway cable has a fault based on the associated data, and determine the fault type when it is identified that a fault exists. This technical solution can realize real-time and accurate monitoring of the operation status of the subway cable, timely discover hidden dangers of subway cable faults, and ensure the safety and reliability of subway operation by identifying whether the subway cable has a fault and determining the fault type based on the current data and associated data of the subway cable.

[0049] Embodiment 2

[0050] Figure 2 This is a schematic diagram of the structure of the current fluctuation monitoring device for subway cables provided in Example 2 of the present application. This solution has made better improvements on the basis of the above-mentioned embodiments, and the specific improvements are as follows: the fluctuation identification module is specifically used to: determine the current trend line according to the current data, and determine the deviation value between the current data and the current trend line; when the deviation value exceeds the preset deviation threshold, determine that the current data has fluctuations.

[0051] like Figure 2 As shown, the device comprises:

[0052] A current data acquisition module 210 is used to acquire current data at each preset position of the subway cable;

[0053] A fluctuation identification module 220, used to identify whether the current data fluctuates;

[0054] The associated data acquisition module 230 is used to generate an activation signal of the associated sensor when it is identified that the current data fluctuates, so as to acquire associated data through the associated sensor;

[0055] The fault determination module 240 is used to identify whether the subway cable has a fault according to the associated data, and determine the fault type if it is identified that a fault exists.

[0056] The fluctuation identification module 220 is specifically used for:

[0057] Determine a current trend line according to the current data, and determine a deviation value between the current data and the current trend line;

[0058] When the deviation value exceeds a preset deviation threshold, it is determined that the current data fluctuates.

[0059] The current trend line can be a curve or a straight line that can reflect the overall change trend of the current data. The current trend line can be determined based on the current data by determining the slope and intercept of the current trend line based on the two current data points initially acquired, and updating the slope and intercept using a recursive least squares formula as new current data points are continuously acquired.

[0060] Here is a sample code for determining a current trend line from current data:

[0061] import numpy as np

[0062] def initial_setup(data_points):

[0063] # Initialization parameters

[0064] x=np.array([[1,i]for iin range(len(data_points))])

[0065] y = np.array(data_points)

[0066] P = np.eye(2)*1e6#initial error covariance matrix

[0067] theta = np.zeros(2) # Initial slope and intercept [intercept, slope]

[0068] return x,y,P,theta

[0069] def recursive_least_squares(new_data,x,y,P,theta):

[0070] #Feature vector of new data point

[0071] phi = np.array([1,len(y)])

[0072] #Gain matrix

[0073] K=P.dot(phi) / (1+phi.dot(P).dot(phi))

[0074] # Update the estimated value

[0075] theta=theta+K*(new_data-phi.dot(theta))

[0076] # Update the error covariance matrix

[0077] P=(np.eye(2)-K.dot(phi)).dot(P)

[0078] #Update data

[0079] x = np.vstack((x,phi))

[0080] y = np.append(y,new_data)

[0081] return x,y,P,theta

[0082] #Assume that the two current data points initially obtained

[0083] initial_data = [10,12]

[0084] x,y,P,theta=initial_setup(initial_data)

[0085] #Simulate the continuous acquisition of new current data points

[0086] new_data_points=[15,13,17]for data in new_data_points:

[0087] x,y,P,theta=recursive_least_squares(data,x,y,P,theta)

[0088] intercept,slope=theta

[0089] print(f"Updated slope: {slope}, Updated intercept: {intercept}")

[0090] The deviation value may refer to the difference between the current data and the value of the current trend line at the same time point. The deviation value between the current data and the current trend line may be determined by determining the acquisition time of the current data, substituting the acquisition time into the function formula of the current trend line to obtain the value of the current trend line, subtracting the value from the current data and taking the absolute value to obtain the deviation value.

[0091] The preset deviation threshold may be a preset deviation threshold lower limit indicating that the current data fluctuates. If the deviation value exceeds the preset deviation threshold, it indicates that the current data deviates from the current trend line beyond the normal fluctuation range, and thus it can be determined that the current data fluctuates.

[0092] The advantage of this arrangement of the present scheme is that by determining the current trend line based on the current data and determining the deviation value between the current data and the current trend line, when the deviation value exceeds the preset deviation threshold, it is determined that the current data fluctuates, and the abnormal changes in the current data can be captured in a timely and accurate manner, laying the foundation for identifying whether there is a fault in the subway cable.

[0093] In this technical solution, optionally, the fluctuation identification module is further used to:

[0094] Counting the number of current data whose deviation values ​​exceed a preset deviation threshold within a preset period;

[0095] When the amount of the current data exceeds a preset amount, determining that the current data has significant fluctuations;

[0096] or,

[0097] When the amount of the current data does not exceed a preset amount, it is determined that the current data has a small fluctuation.

[0098] The preset period can be a pre-set time length for statistical current data-related situations based on multiple factors such as the operating characteristics of the subway cable, historical data, and actual application requirements. The number of current data with deviation values ​​exceeding the preset deviation threshold within the preset period can be used to further determine the significance of the current data fluctuation.

[0099] The preset number is a standard value of the number of current data whose deviation value exceeds the preset deviation threshold within a preset period. If the number of current data whose deviation value exceeds the preset deviation threshold within the preset period exceeds the preset number, it means that the current data frequently deviates from the normal trend or deviates too much from the normal trend, reflecting that there may be more serious fluctuations, that is, there are significant fluctuations; if the number of current data whose deviation value exceeds the preset deviation threshold within the preset period does not exceed the preset number, it means that the fluctuation degree of the current data is relatively light, that is, there are small fluctuations.

[0100] The advantage of this arrangement of the present scheme is that by counting the number of current data whose deviation values ​​exceed the preset deviation threshold within a preset period, and determining that there is a significant fluctuation in the current data when the number of current data exceeds the preset number, or determining that there is a small fluctuation in the current data when the number of current data does not exceed the preset number, the severity of the current data fluctuation can be accurately evaluated, providing data reference for the subsequent determination of the fault type.

[0101] Embodiment 3

[0102] Figure 3It is a structural diagram of the current fluctuation monitoring device for subway cables provided in Example 3 of the present application. This solution has made better improvements on the basis of the above-mentioned embodiments, and the specific improvements are as follows: the associated data acquisition module is specifically used to: when it is identified that the current data has a small fluctuation, generate an activation signal for the temperature sensor at the associated position to obtain temperature data through the temperature sensor; wherein the associated position includes a preset position where the current data has a small fluctuation and a cable connection position adjacent to the preset position; correspondingly, the fault determination module is specifically used to: identify whether the subway cable has a fault according to the temperature data, and determine the fault type when it is identified that a fault exists.

[0103] like Figure 3 As shown, the device comprises:

[0104] The current data acquisition module 310 is used to acquire the current data of each preset position of the subway cable;

[0105] A fluctuation identification module 320 is used to identify whether the current data fluctuates;

[0106] The associated data acquisition module 330 is used to generate an activation signal of the associated sensor when it is identified that the current data fluctuates, so as to acquire associated data through the associated sensor;

[0107] The fault determination module 340 is used to identify whether the subway cable has a fault according to the associated data, and determine the fault type if it is identified that a fault exists.

[0108] The fluctuation identification module 320 is specifically used for:

[0109] Determine a current trend line according to the current data, and determine a deviation value between the current data and the current trend line;

[0110] When the deviation value exceeds a preset deviation threshold, it is determined that the current data fluctuates.

[0111] The fluctuation identification module 320 is further used for:

[0112] Counting the number of current data whose deviation values ​​exceed a preset deviation threshold within a preset period;

[0113] When the amount of the current data exceeds a preset amount, determining that the current data has significant fluctuations;

[0114] or,

[0115] When the amount of the current data does not exceed a preset amount, it is determined that the current data has a small fluctuation.

[0116] The associated data acquisition module 330 is specifically used for:

[0117] When it is identified that the current data has a small fluctuation, an activation signal of a temperature sensor at an associated position is generated to obtain temperature data through the temperature sensor; wherein the associated position includes a preset position where the current data has a small fluctuation and a cable connection position adjacent to the preset position;

[0118] The fault determination module 340 is specifically configured to:

[0119] It is identified whether the subway cable has a fault according to the temperature data, and the fault type is determined if it is identified that a fault exists.

[0120] The associated position may refer to a specific position where a small fluctuation in current data may affect its temperature data, and the associated position may include a preset position where the current data has a small fluctuation and a cable connection position adjacent to the preset position. The cable connection position may refer to a position where two or more cables are connected to each other, or a position where a cable is connected to other electrical equipment.

[0121] The temperature data may be data that can indicate the hot and cold conditions of subway cables. The temperature sensor may be a device that can sense temperature and convert it into an output signal, including thermal resistor type, thermocouple type, and thermistor type.

[0122] The method of identifying whether a subway cable is faulty based on temperature data and determining the fault type when a fault is identified can be that when the temperature data at a preset position exceeds a first preset temperature threshold, it is determined that the subway cable is faulty and the fault type is cable overload, or when the temperature data at the cable connection position exceeds a second preset temperature threshold, it is determined that the subway cable is faulty and the fault type is poor cable connection contact.

[0123] In this technical solution, optionally, the fault determination module is specifically used to:

[0124] When the temperature data at the preset position exceeds a first preset temperature threshold, determining that the subway cable has a fault, and determining that the fault type is a cable overload;

[0125] or,

[0126] When the temperature data at the cable connection position exceeds a second preset temperature threshold, it is determined that the subway cable has a fault, and the fault type is determined to be poor contact of the cable connection.

[0127] The first preset temperature threshold can be a lower limit of temperature data indicating that there is a fault in the subway cable, which is pre-set based on factors such as the design parameters, safe operation standards, and historical operation data of the subway cable. If the temperature data at the preset position exceeds the first preset temperature threshold, it means that the heat generated by the subway cable in the current operating state has exceeded the normal range. It is likely that the load current is too large, causing the cable to heat abnormally. Therefore, it can be determined that there is a fault in the subway cable, and the fault type is determined to be cable overload. Among them, cable overload can mean that the current carried by the subway cable continues to exceed its rated current, causing the cable to be in a high-load operation state for a long time, thereby causing the cable to heat up more and the temperature to rise.

[0128] The second preset temperature threshold can be a lower limit of temperature data indicating that there is a fault in the subway cable, which is pre-set based on factors such as the material properties of the cable connection location, the connection process requirements, and the operating safety standards. If the temperature data at the cable connection location exceeds the second preset temperature threshold, it means that the cable connection location has abnormally heated up due to excessive contact resistance. Therefore, it can be determined that there is a fault in the subway cable, and the fault type is determined to be cable overload. Among them, poor cable connection contact may refer to the failure to form a good and stable electrical connection between the conductors at the cable connection location. This may be due to poor connection technology or the influence of vibration, temperature changes, etc. during long-term operation, resulting in loosening of the cable connection location, reduction of contact area, etc., which in turn leads to an increase in contact resistance and causes local overheating.

[0129] The advantage of such a setting of the present scheme is that, by determining that a subway cable is faulty and the fault type is cable overload when the temperature data at the preset position exceeds the first preset temperature threshold, or determining that a subway cable is faulty and the fault type is poor cable connection contact when the temperature data at the cable connection position exceeds the second preset temperature threshold, the subway cable is faulty and the fault type is poor cable connection contact. The fault type of the subway cable can be located quickly and accurately. For a cable overload fault, the power load can be adjusted in time to prevent the subway cable from accelerating aging or even causing a fire due to long-term overheating. For a poor cable connection contact fault, the cable connection position can be quickly tightened, repaired or replaced to ensure the stability and safety of power transmission.

[0130] The advantage of such a configuration of the present scheme is that by obtaining the temperature data of a preset position where the current data has a small fluctuation and a cable connection position adjacent to the preset position through a temperature sensor when it is identified that the current data has a small fluctuation, the potential cause of the small fluctuation of the current data can be deeply analyzed from the temperature dimension, which helps to determine whether the current data fluctuation is caused by overheating.

[0131] Embodiment 4

[0132] Figure 4This is a schematic diagram of the structure of the current fluctuation monitoring device for subway cables provided in Example 4 of the present application. This solution has made better improvements on the basis of Example 2, and the specific improvements are as follows: the associated data acquisition module is specifically used to: when it is identified that the current data has significant fluctuations, generate an activation signal of the voltage sensor at the preset position where the current data has significant fluctuations, so as to obtain voltage data through the voltage sensor; correspondingly, the fault determination module is specifically used to: identify whether the subway cable has a fault based on the voltage data, and determine the fault type when it is identified that a fault exists.

[0133] like Figure 4 As shown, the device comprises:

[0134] The current data acquisition module 410 is used to acquire the current data of each preset position of the subway cable;

[0135] A fluctuation identification module 420 is used to identify whether the current data fluctuates;

[0136] The associated data acquisition module 430 is used to generate an activation signal of the associated sensor when it is identified that the current data fluctuates, so as to acquire associated data through the associated sensor;

[0137] The fault determination module 440 is used to identify whether the subway cable has a fault according to the associated data, and determine the fault type if it is identified that a fault exists.

[0138] The fluctuation identification module 420 is specifically used for:

[0139] Determine a current trend line according to the current data, and determine a deviation value between the current data and the current trend line;

[0140] When the deviation value exceeds a preset deviation threshold, it is determined that the current data fluctuates.

[0141] The fluctuation identification module 420 is further used for:

[0142] Counting the number of current data whose deviation values ​​exceed a preset deviation threshold within a preset period;

[0143] When the amount of the current data exceeds a preset amount, determining that the current data has significant fluctuations;

[0144] or,

[0145] When the amount of the current data does not exceed a preset amount, it is determined that the current data has a small fluctuation.

[0146] The associated data acquisition module 430 is specifically used for:

[0147] When it is identified that the current data has significant fluctuations, generating an activation signal of a voltage sensor at a preset position where the current data has significant fluctuations, so as to acquire voltage data through the voltage sensor;

[0148] The fault determination module 440 is specifically configured to:

[0149] It is identified whether the subway cable has a fault according to the voltage data, and the fault type is determined if it is identified that a fault exists.

[0150] Voltage data can be a physical quantity that measures the energy difference generated by the unit charge due to different electric potentials. A voltage sensor is a device that can measure the voltage value in a circuit and convert it into a signal (such as an electrical signal, a digital signal, etc.) that is easy to detect, process, and transmit. Voltage sensors include electromagnetic induction, capacitive voltage divider, and resistive voltage divider.

[0151] A method for identifying whether a subway cable is faulty based on voltage data and determining the type of fault when a fault is identified is to determine the decrease amplitude and change speed of the voltage data. When the decrease amplitude exceeds a preset amplitude threshold and the change speed exceeds a preset speed threshold, it is determined that a subway cable is faulty and the fault type is determined to be a cable short circuit.

[0152] In this technical solution, optionally, the fault determination module is specifically used to:

[0153] Determine the drop amplitude and change speed of the voltage data;

[0154] When the decreasing amplitude exceeds a preset amplitude threshold and the changing speed exceeds a preset speed threshold, it is determined that there is a fault in the subway cable, and the fault type is determined to be a cable short circuit.

[0155] The drop range may refer to the ratio of the difference between the voltage data from the initial value to the current value within a certain period of time and the initial value. The change speed may refer to the amount of change of the voltage data per unit time, reflecting the speed of the voltage data drop.

[0156] Here is a sample code for determining how much the voltage data drops and how fast it changes:

[0157] #Simulated voltage data list, unit: Volt

[0158] voltage_data = [100,98,96,94,92] #Simulation corresponding timestamp list, unit: second

[0159] timestamp = [0,1,2,3,4]

[0160] def calculate_drop_percentage(initial_voltage,current_voltage):

[0161] """Calculate the voltage drop"""

[0162] return((initial_voltage-current_voltage) / initial_voltage)*100

[0163] def calculate_change_speed(voltages,timestamps):

[0164] """Calculate the voltage change rate"""

[0165] speeds=[]

[0166] for iin range(1,len(voltages)):

[0167] voltage_change=voltages[i-1]-voltages[i]

[0168] time_change=timestamps[i]-timestamps[i-1]

[0169] speed=voltage_change / time_change if time_change! =0else 0

[0170] speeds.append(speed)

[0171] #Simple average method to calculate the overall average change rate

[0172] average_speed=sum(speeds) / len(speeds)if speeds else 0

[0173] return average_speed

[0174] initial_voltage=voltage_data[0]

[0175] current_voltage=voltage_data[-1]

[0176] drop_percentage=calculate_drop_percentage(initial_voltage,current_voltage)

[0177] change_speed=calculate_change_speed(voltage_data,timestamp)

[0178] print(f"The voltage drops by: {drop_percentage}%")print(f"The voltage changes by: {change_speed} volts / second")

[0179] The preset amplitude threshold may be a lower limit of the drop amplitude indicating that a subway cable has a fault, which is preset based on factors such as the design standard, operation characteristics, and safety requirements of the subway cable. The preset speed threshold may be a lower limit of the change speed indicating that a subway cable has a fault, which is preset based on factors such as the design standard, operation characteristics, and safety requirements of the subway cable.

[0180] If the drop exceeds the preset amplitude threshold and the speed of change exceeds the preset speed threshold, it means that the voltage data has dropped abnormally and sharply. This is most likely due to the presence of a low-resistance path in the subway cable, and a large amount of current passes directly through the path without passing through the normal load, causing the voltage data to drop rapidly in a short period of time and with a large drop. Therefore, it can be determined that there is a fault in the subway cable and the fault type is determined to be a cable short circuit. A cable short circuit can refer to the insulation layer between different phase lines inside the subway cable, or between the phase line and the ground line being damaged, so that the current can form a short-circuit path between these lines that should not be directly connected.

[0181] The benefit of this arrangement of the present scheme is that, when the drop in voltage data exceeds a preset amplitude threshold and the change speed of voltage data exceeds a preset speed threshold, it is determined that there is a fault in the subway cable and the fault type is determined to be a cable short circuit. This type of cable fault, such as a cable short circuit, can be quickly and accurately located, helping staff to take corresponding measures for the cable short circuit fault as soon as possible, and effectively ensuring the safe and stable operation of the subway power supply system.

[0182] The benefit of this arrangement is that by identifying whether there is a fault in the subway cable based on the voltage data when the current data is identified to have significant fluctuations, the fault type can be accurately determined based on the voltage data, a key parameter in power transmission, thereby helping to take targeted maintenance measures to ensure the stable operation of the subway power supply system.

[0183] Embodiment 5

[0184] Figure 5 1 is a flow chart of a method for monitoring current fluctuations of subway cables provided in Example 5 of the present application. Figure 5 As shown, the specific steps include:

[0185] S501, obtaining current data of each preset position of the subway cable through a current data acquisition module;

[0186] S502, identifying whether the current data fluctuates by a fluctuation identification module;

[0187] S503, generating an activation signal of a correlation sensor through a correlation data acquisition module when it is identified that the current data fluctuates, so as to acquire correlation data through the correlation sensor;

[0188] S504: Identify whether the subway cable has a fault according to the associated data through a fault determination module, and determine the fault type if it is identified that a fault exists.

[0189] In the embodiment of the present application, the current data of each preset position of the subway cable is acquired through the current data acquisition module; the fluctuation identification module is used to identify whether the current data fluctuates; the associated data acquisition module generates an activation signal for the associated sensor when it is identified that the current data fluctuates, so as to acquire the associated data through the associated sensor; the fault determination module identifies whether the subway cable has a fault based on the associated data, and determines the fault type when it is identified that a fault exists. The above-mentioned subway cable current fluctuation monitoring method can realize real-time and accurate monitoring of the subway cable operation status, timely discover hidden dangers of subway cable faults, and ensure the safety and reliability of subway operation by identifying whether the subway cable has a fault and determining the fault type based on the current data of the subway cable and the associated data.

[0190] The current fluctuation monitoring method for subway cables provided in the embodiment of the present application corresponds to the current fluctuation monitoring device for subway cables provided in the above embodiment, and has the same functional modules and beneficial effects. To avoid repetition, they will not be described here.

[0191] Embodiment 6

[0192] like Figure 6 As shown, an embodiment of the present application also provides an electronic device 600, including a processor 601, a memory 602, and a program or instruction stored in the memory 602 and executable on the processor 601. When the program or instruction is executed by the processor 601, each process of the above-mentioned subway cable current fluctuation monitoring device embodiment is implemented, and the same technical effect can be achieved. To avoid repetition, it will not be repeated here.

[0193] It should be noted that the electronic devices in the embodiments of the present application include the mobile electronic devices and non-mobile electronic devices mentioned above.

[0194] Embodiment 7

[0195] An embodiment of the present application also provides a readable storage medium, on which a program or instruction is stored. When the program or instruction is executed by a processor, each process of the above-mentioned subway cable current fluctuation monitoring device embodiment is implemented, and the same technical effect can be achieved. To avoid repetition, it will not be repeated here.

[0196] The processor is a processor in the electronic device described in the above embodiment. The readable storage medium includes a computer readable storage medium, such as a computer read-only memory (ROM), a random access memory (RAM), a magnetic disk or an optical disk.

[0197] Embodiment 8

[0198] An embodiment of the present application further provides a chip, which includes a processor and a communication interface, wherein the communication interface is coupled to the processor, and the processor is used to run programs or instructions to implement the various processes of the above-mentioned subway cable current fluctuation monitoring device embodiment, and can achieve the same technical effect. To avoid repetition, it will not be repeated here.

[0199] It should be understood that the chip mentioned in the embodiments of the present application can also be called a system-level chip, a system chip, a chip system or a system-on-chip chip, etc.

[0200] It should be noted that, in this article, the terms "comprise", "include" or any other variant thereof are intended to cover non-exclusive inclusion, so that the process, method, article or device including a series of elements includes not only those elements, but also includes other elements not explicitly listed, or also includes elements inherent to such process, method, article or device. In the absence of further restrictions, the elements defined by the sentence "comprise one..." do not exclude the presence of other identical elements in the process, method, article or device including the element. In addition, it should be pointed out that the scope of the methods and devices in the embodiments of the present application is not limited to performing functions in the order shown or discussed, and may also include performing functions in a substantially simultaneous manner or in reverse order according to the functions involved, for example, the described method may be performed in an order different from that described, and various steps may also be added, omitted, or combined. In addition, the features described with reference to certain examples may be combined in other examples.

[0201] Through the description of the above implementation methods, those skilled in the art can clearly understand that the above-mentioned embodiment methods can be implemented by means of software plus a necessary general hardware platform, and of course by hardware, but in many cases the former is a better implementation method. Based on such an understanding, the technical solution of the present application, or the part that contributes to the prior art, can be embodied in the form of a computer software product, which is stored in a storage medium (such as ROM / RAM, a disk, or an optical disk), and includes a number of instructions for a terminal (which can be a mobile phone, a computer, a server, or a network device, etc.) to execute the methods described in each embodiment of the present application.

[0202] The embodiments of the present application are described above in conjunction with the accompanying drawings, but the present application is not limited to the above-mentioned specific implementation methods. The above-mentioned specific implementation methods are merely illustrative and not restrictive. Under the guidance of the present application, ordinary technicians in this field can also make many forms without departing from the purpose of the present application and the scope of protection of the claims, all of which are within the protection of the present application.

[0203] The above are only preferred embodiments of the present application and the technical principles used. The present application is not limited to the specific embodiments described herein, and various obvious changes, readjustments and substitutions that can be made by those skilled in the art will not deviate from the scope of protection of the present application. Therefore, although the present application is described in more detail through the above embodiments, the present application is not limited to the above embodiments, and may include more other equivalent embodiments without departing from the concept of the present application, and the scope of the present application is determined by the scope of the claims.

Claims

1. A current fluctuation monitoring device for subway cables, characterized in that: The device comprises: A current data acquisition module, used to acquire current data at each preset position of the subway cable; A fluctuation identification module, used to identify whether the current data fluctuates; A correlation data acquisition module, configured to generate an activation signal of a correlation sensor when it is identified that the current data fluctuates, so as to acquire correlation data through the correlation sensor; The fault determination module is used to identify whether the subway cable has a fault according to the associated data, and determine the fault type if it is identified that a fault exists.

2. The current fluctuation monitoring device for subway cables according to claim 1, characterized in that: The fluctuation identification module is specifically used for: Determine a current trend line according to the current data, and determine a deviation value between the current data and the current trend line; When the deviation value exceeds a preset deviation threshold, it is determined that the current data fluctuates.

3. The current fluctuation monitoring device for subway cables according to claim 2 is characterized in that: The fluctuation identification module is further used for: Counting the number of current data whose deviation values ​​exceed a preset deviation threshold within a preset period; When the amount of the current data exceeds a preset amount, determining that the current data has significant fluctuations; or, When the amount of the current data does not exceed a preset amount, it is determined that the current data has a small fluctuation.

4. The current fluctuation monitoring device for subway cables according to claim 3 is characterized in that: The associated data acquisition module is specifically used for: When it is identified that the current data has a small fluctuation, an activation signal of a temperature sensor at an associated position is generated to obtain temperature data through the temperature sensor; wherein the associated position includes a preset position where the current data has a small fluctuation and a cable connection position adjacent to the preset position; Accordingly, the fault determination module is specifically used to: It is identified whether the subway cable has a fault according to the temperature data, and the fault type is determined if it is identified that a fault exists.

5. The current fluctuation monitoring device for subway cables according to claim 4, characterized in that: The fault determination module is specifically used for: When the temperature data at the preset position exceeds a first preset temperature threshold, determining that the subway cable has a fault, and determining that the fault type is a cable overload; or, When the temperature data at the cable connection position exceeds a second preset temperature threshold, it is determined that the subway cable has a fault, and the fault type is determined to be poor contact of the cable connection.

6. The current fluctuation monitoring device for subway cables according to claim 3, characterized in that: The associated data acquisition module is specifically used for: When it is identified that the current data has significant fluctuations, generating an activation signal of a voltage sensor at a preset position where the current data has significant fluctuations, so as to acquire voltage data through the voltage sensor; Accordingly, the fault determination module is specifically used to: It is identified whether the subway cable has a fault according to the voltage data, and the fault type is determined if it is identified that a fault exists.

7. The current fluctuation monitoring device for subway cables according to claim 6, characterized in that: The fault determination module is specifically used for: Determine the drop amplitude and change speed of the voltage data; When the decreasing amplitude exceeds a preset amplitude threshold and the changing speed exceeds a preset speed threshold, it is determined that there is a fault in the subway cable, and the fault type is determined to be a cable short circuit.

8. A method for monitoring current fluctuations in subway cables, characterized in that: The method comprises: Acquire the current data of each preset position of the subway cable through the current data acquisition module; Identify whether the current data fluctuates by a fluctuation identification module; When the current data is identified as fluctuating, the associated data acquisition module generates an activation signal for the associated sensor, so as to acquire associated data through the associated sensor; The fault determination module identifies whether the subway cable has a fault according to the associated data, and determines the fault type if it is identified that a fault exists.

9. The method for monitoring current fluctuation of subway cables according to claim 8, characterized in that: Identifying whether the current data fluctuates by a fluctuation identification module includes: Determine a current trend line according to the current data, and determine a deviation value between the current data and the current trend line; When the deviation value exceeds a preset deviation threshold, it is determined that the current data fluctuates.

10. An electronic device, characterized in that: It comprises a processor, a memory and a program or instruction stored in the memory and executable on the processor, wherein when the program or instruction is executed by the processor, the steps of the method for monitoring current fluctuation of a subway cable as described in any one of claims 8 to 9 are implemented.

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