An online monitoring and alarm system for operating parameters of high-voltage cables

Abstract

This application relates to the technical field of cable operation monitoring, and particularly to an on-line monitoring and alarm system for high-voltage cable operation parameters. The steps of this method include: a cable parameter acquisition module for acquiring the cable distribution parameters and cable operation parameters of the high-voltage cable; a spatial distribution consistency analysis module for analyzing the spatial distribution consistency of the cable in the cable tunnel according to the cable distribution parameters; a sheath circuit connectivity analysis module for analyzing the sheath circuit connectivity of the cable according to the cable sheath circulating current; a cable distribution correlation analysis module for analyzing the cable distribution correlation degree according to the spatial distribution consistency and sheath circuit connectivity; and a cable fault alarm module for analyzing the cable operation state by combining the cable operation parameters with the cable distribution correlation degree and performing cable fault alarm. This application improves the accuracy and reliability of cable fault location by analyzing the spatial distribution consistency of the cable in the cable tunnel and the sheath circuit connectivity.

Description

Technical Field

[0001] This application relates to the technical field of cable operation monitoring, and particularly to an on-line monitoring and alarm system for high-voltage cable operation parameters. Background Art

[0002] High-voltage cables play an indispensable role in the power supply and distribution system. Any failure of them may cause power supply interruption or equipment damage, thus causing significant interference to the entire power network. To alleviate the current situation where the demand for power transmission is growing rapidly while it is increasingly difficult to build new power transmission corridors, the clustered laying method is more and more widely used in newly built cable lines.

[0003] With the continuous evolution of sensor technology, the fault detection and monitoring system of high-voltage cables is gradually moving towards a new stage of intelligence and automation. By using sensors to obtain the operation parameters of high-voltage cables, the operation status and various performance indicators of the cables can be continuously monitored and recorded, and then fault identification and location can be performed according to the predetermined judgment criteria.

[0004] The existing on-line monitoring and alarm system for high-voltage cable operation parameters mainly relies on the sensor data of a single cable for fault monitoring and location. When the sensor fails due to a fault, it will cause the loss or distortion of the cable operation parameters. Moreover, there are electromagnetic coupling effects and heat conduction effects between adjacent cables in the clustered laying environment of high-voltage cables. Therefore, the operation states between adjacent cables are related to a certain extent. The existing system fails to effectively utilize this characteristic for fault diagnosis and location, and there is a problem of insufficient accuracy in cable fault location when facing abnormal operation parameters caused by sensor faults. Summary of the Invention

[0005] In order to overcome the defects and deficiencies of the existing technology, this application provides an on-line monitoring and alarm system for high-voltage cable operation parameters, which improves the accuracy and reliability of cable fault location by analyzing the spatial distribution consistency and sheath circuit connectivity of cables in the cable tunnel.

[0006] To achieve the above object, this application adopts the following technical solutions:

[0007] In the first aspect, this application provides an on-line monitoring and alarm system for high-voltage cable operation parameters, including a cable parameter acquisition module, a spatial distribution consistency analysis module, a sheath circuit connectivity analysis module, a cable distribution correlation analysis module, and a cable fault alarm module;

[0008] Among them, the cable parameter acquisition module is used to acquire the cable distribution parameters and cable operation parameters of high-voltage cables, and the cable operation parameters include the cable surface temperature, cable load current, and cable sheath circulating current;

[0009] The spatial distribution consistency analysis module is used to analyze the spatial distribution consistency of cables in the cable tunnel according to the cable distribution parameters;

[0010] The sheath circuit connectivity analysis module is used to analyze the sheath circuit connectivity of cables according to the sheath circulating current of the cables;

[0011] The cable distribution correlation analysis module is used to analyze the degree of cable distribution correlation according to the spatial distribution consistency and the sheath circuit connectivity;

[0012] The cable fault alarm module is used to analyze the cable operation status by combining the cable operation parameters with the degree of cable distribution correlation and perform cable fault alarm.

[0013] Optionally, the spatial distribution consistency analysis module is used to analyze the spatial distribution consistency of cables in the cable tunnel according to the cable distribution parameters. The specific analysis steps include:

[0014] Obtain the cable distribution parameters, where the cable distribution parameters include the cable laying path and the cable path length;

[0015] Obtain the co-line length of the cables by analyzing the cable laying paths of two cables. The co-line length of the cables is the overlapping length of the cable laying paths of the two cables;

[0016] Take the ratio of the co-line length of the two cables to the minimum value of the cable path lengths of the two cables as the spatial distribution consistency index of the cables. The spatial distribution consistency index is used to quantify the spatial distribution consistency of the two cables in the cable tunnel.

[0017] Optionally, the sheath circuit connectivity analysis module is used to analyze the sheath circuit connectivity of cables according to the sheath circulating current of the cables. The specific analysis steps include:

[0018] Obtain the sheath circulating current of the cables and sort the sheath circulating current according to the acquisition time to obtain the sheath circulating current time series;

[0019] Calculate the standard deviation of the sheath circulating current of the cables within the monitoring period and the covariance of the sheath circulating currents of two cables within the same monitoring period through the sheath circulating current time series;

[0020] Take the product of the standard deviations of the sheath circulating currents of the two cables within the same monitoring period as the normalization factor;

[0021] Take the ratio of the covariance of the sheath circulating currents to the normalization factor as the sheath circuit connectivity index of the cables. The sheath circuit connectivity index is used to quantify the sheath circuit connectivity of the two cables.

[0022] Optionally, the cable distribution correlation analysis module is used to analyze the cable distribution correlation degree according to the spatial distribution consistency and the sheath circuit connectivity. The specific analysis steps include:

[0023] Obtain the spatial distribution consistency index and the sheath circuit connectivity index of the cable;

[0024] Perform weighted summation on the spatial distribution consistency index and the sheath circuit connectivity index to obtain the cable distribution correlation index, which is used to quantify the distribution correlation degree between two cables.

[0025] Optionally, the cable fault alarm module is used to analyze the cable operation status by combining the cable operation parameters with the cable distribution correlation degree and perform cable fault alarm. The specific analysis steps include:

[0026] Obtain the cable operation parameters and the cable distribution correlation index;

[0027] Take the cable with a cable distribution correlation index greater than the preset cable distribution correlation threshold as the adjacent cable;

[0028] Analyze the operation parameter fluctuation consistency of the adjacent cable through the dynamic time warping algorithm to obtain the operation parameter fluctuation consistency index;

[0029] When the cable operation parameters exceed the preset operation range, perform cable fault alarm and combine the operation parameter fluctuation consistency of the adjacent cable for fault location.

[0030] Optionally, the fault location by combining the operation parameter fluctuation consistency of the adjacent cable includes:

[0031] When there is no missing cable operation parameter of the faulty cable, use the cable operation parameter of the faulty cable for fault location;

[0032] When there are missing cable operation parameters of the faulty cable, interpolate and repair the cable operation parameters of the faulty cable according to the operation parameter fluctuation consistency of the adjacent cable and use the interpolated and repaired cable operation parameters for fault location.

[0033] Optionally, the interpolation and repair of the cable operation parameters of the faulty cable includes:

[0034] When the operation parameter fluctuation consistency index is greater than the preset operation parameter fluctuation consistency threshold, extract the missing moment of the cable operation parameter of the faulty cable;

[0035] Take the weighted mean of the cable operation parameter change rates corresponding to the adjacent cables at the same missing moment as the cable operation parameter change coefficient, and the weighted weight of the cable operation parameter change rate is the ratio of the cable distribution correlation index of the adjacent cable to the mean value of the cable distribution correlation indexes;

[0036] Calculate the missing values of the faulty cable through the cable operation parameter change coefficient and perform interpolation repair. The missing value is the product of the cable operation parameter of the faulty cable closest to the missing moment and the corresponding cable operation parameter change coefficient.

[0037] When the operation parameter fluctuation consistency index is less than or equal to the preset operation parameter fluctuation consistency threshold, perform interpolation repair on the cable operation parameters of the faulty cable by the moving average method, and use the average value of the operation parameters at adjacent time points in the cable operation parameters of the faulty cable as the missing value for interpolation repair.

[0038] In a second aspect, the present application provides an online monitoring and alarm method for high-voltage cable operation parameters, including:

[0039] Obtain the cable distribution parameters and cable operation parameters of the high-voltage cable. The cable operation parameters include the cable surface temperature, cable load current, and cable sheath circulating current.

[0040] Analyze the spatial distribution consistency of the cable in the cable tunnel according to the cable distribution parameters.

[0041] Analyze the sheath circuit connectivity of the cable according to the cable sheath circulating current.

[0042] Analyze the cable distribution correlation degree according to the spatial distribution consistency and sheath circuit connectivity.

[0043] Analyze the cable operation status by combining the cable operation parameters with the cable distribution correlation degree and perform cable fault alarm.

[0044] In a third aspect, the present application provides an electronic device, including: a processor and a memory. Among them, a computer program that can be called by the processor is stored in the memory, and the processor executes an online monitoring and alarm method for high-voltage cable operation parameters by calling the computer program stored in the memory.

[0045] In a fourth aspect, the present application provides a computer-readable storage medium storing instructions, which when run on a computer, cause the computer to execute an online monitoring and alarm method for high-voltage cable operation parameters.

[0046] Compared with the prior art, the present application has the following advantages and beneficial effects:

[0047] This application analyzes the spatial distribution consistency of cables in a tunnel through cable distribution parameters, quantifies the physical position correlation between two cables, analyzes the sheath circuit connectivity of cables through the sheath circulating current of the cables, quantifies the degree of co-variation between two cables in terms of the sheath circulating current, and further analyzes the cable distribution correlation degree through the spatial distribution consistency and the sheath circuit connectivity. By combining the cable operating parameters with the cable distribution correlation degree, it analyzes the cable operating status and performs cable fault alarm and fault location, effectively improving the accuracy and reliability of cable fault location. BRIEF DESCRIPTION OF THE DRAWINGS

[0048] Other features, objects, and advantages of the present application will become more apparent from the following detailed description of non-limiting embodiments read with reference to the accompanying drawings:

[0049] Figure 1 FIG. is a schematic structural diagram of an on-line monitoring and alarm system for high-voltage cable operating parameters provided by an embodiment of the present application;

[0050] Figure 2 FIG. is a schematic overall flow diagram of an on-line monitoring and alarm method for high-voltage cable operating parameters provided by an embodiment of the present application;

[0051] Figure 3 FIG. is a schematic structural diagram of an electronic device provided by an embodiment of the present application. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0052] The technical solution of the present application will be described in detail below with reference to the accompanying drawings and specific embodiments. It should be understood that the specific features in the embodiments of the present application and the embodiments are detailed descriptions of the technical solution of the present application, rather than limitations on the technical solution of the present application. Without conflict, the technical features in the embodiments of the present application and the embodiments can be combined with each other.

[0053] Please refer to Figure 1 , Figure 1 FIG. is a schematic structural diagram of an on-line monitoring and alarm system for high-voltage cable operating parameters provided by an embodiment of the present application. The present embodiment provides an on-line monitoring and alarm system for high-voltage cable operating parameters, including:

[0054] A cable parameter acquisition module 110, configured to acquire cable distribution parameters and cable operating parameters of a high-voltage cable. The cable operating parameters include the cable surface temperature, the cable load current, and the cable sheath circulating current;

[0055] A spatial distribution consistency analysis module 120, configured to analyze the spatial distribution consistency of a cable in a cable tunnel according to the cable distribution parameters;

[0056] A sheath circuit connectivity analysis module 130, configured to analyze the sheath circuit connectivity of a cable according to the cable sheath circulating current;

[0057] The cable distribution correlation analysis module 140 is used to analyze the cable distribution correlation degree according to the spatial distribution consistency and sheath circuit connectivity;

[0058] The cable fault alarm module 150 is used to analyze the cable operation status by combining the cable operation parameters with the cable distribution correlation degree and perform cable fault alarm.

[0059] In the embodiment of the present application, the spatial distribution consistency analysis module 120 is used to analyze the spatial distribution consistency of the cables in the cable tunnel according to the cable distribution parameters. In the cable cluster laying environment, the spatial distribution of the cables will affect their electromagnetic coupling, heat conduction and mechanical stability, thus affecting their operation status and fault propagation characteristics. By analyzing the spatial distribution consistency of the cables in the cable tunnel, the physical position correlation of two cables can be quantified, providing a basis for further analyzing the cable distribution correlation degree. The cable spatial distribution consistency index can reflect the overlapping degree of two cables on the laying path. The higher the overlapping degree, the greater the possibility that the two cables are affected by the same environmental factors, and the stronger the correlation of their operation parameter changes. In fault analysis, if the sensor of the faulty cable fails, the operation parameter fluctuation law of the adjacent cable with a higher spatial distribution consistency with it can be used, combined with the cable distribution correlation degree, to assist in judging the specific location of the fault, improving the accuracy and reliability of the fault alarm, and thus enhancing the adaptability of the monitoring system in the complex laying environment. The specific steps for analyzing the spatial distribution consistency of the cables in the cable tunnel include:

[0060] Obtain the cable distribution parameters, where the cable distribution parameters include the cable laying path and the cable path length;

[0061] Obtain the cable collinear length by analyzing the cable laying paths of two cables. The cable collinear length is the overlapping length of the cable laying paths of the two cables;

[0062] Take the ratio of the cable collinear length of two cables to the minimum value of the cable path lengths of the two cables as the cable spatial distribution consistency index. The cable spatial distribution consistency index is used to quantify the spatial distribution consistency of two cables in the cable tunnel. Among them, the calculation formula of the cable spatial distribution consistency index can be: ;

[0063] In the formula represents the cable and the cable of the cable collinear length, represents the cable of the cable path length, represents the cable of the cable path length, represents and the minimum value of, Indicates a cable With the cable Spatial distribution consistency index of

[0064] In the embodiments of the present application, the sheath loop connectivity analysis module 130 is used to analyze the sheath loop connectivity of the cable according to the sheath circulating current of the cable. The sheath loop connectivity can reflect the degree of co-variation of the sheath circulating currents of two cables. The higher the sheath loop connectivity, the more likely it indicates that the two cables may share a similar grounding system or there is a strong electromagnetic coupling, making the changes in their operating parameters more synchronous. In fault analysis, if the monitoring data of the faulty cable is missing or distorted, the operating parameters of the adjacent cable with a higher sheath loop connectivity can be used as a reference, combined with the spatial distribution consistency and the overall distribution correlation degree of the cables, for fault auxiliary positioning, improving the accuracy and robustness of fault positioning. The specific steps for analyzing the sheath loop connectivity of the cable include:

[0065] Obtain the sheath circulating current of the cable and sort the sheath circulating current according to the acquisition time to obtain the sheath circulating current time series of the cable;

[0066] Calculate the standard deviation of the sheath circulating current of the cable within the monitoring period and the covariance of the sheath circulating currents of the two cables within the same monitoring period through the sheath circulating current time series;

[0067] Take the product of the standard deviations of the sheath circulating currents of the two cables within the same monitoring period as the normalization factor;

[0068] Take the ratio of the covariance of the sheath circulating current to the normalization factor as the sheath loop connectivity index of the cable. The sheath loop connectivity index is used to quantify the sheath loop connectivity of the two cables. Among them, the calculation formula of the sheath loop connectivity index can be: ;

[0069] In the formula Indicates a cable Sheath circulating current time series within the monitoring period, Indicates a cable Sheath circulating current time series within the monitoring period, Indicates a cable With the cable Covariance of the sheath circulating currents within the same monitoring period. The covariance of the sheath circulating current is used to measure whether the change trends of the sheath circulating currents of the two cables are consistent, Indicates a cable Standard deviation of the sheath circulating current within the monitoring period, Indicates a cable Standard deviation of the sheath circulating current within the monitoring period. The standard deviation of the sheath circulating current is used to measure the dispersion degree of the sheath circulating current, Indicates a cable With the cable Sheath circuit connectivity index of the cable

[0070] In the embodiment of the present application, the cable distribution correlation analysis module 140 is used to analyze the cable distribution correlation degree according to the spatial distribution consistency and the sheath circuit connectivity. In the cable cluster laying environment, the physical spatial distribution relationship and electrical connectivity between cables will affect the degree of mutual correlation of their operating states. By analyzing the spatial distribution consistency and sheath circuit connectivity of cables and calculating the cable distribution correlation index, the correlation degree between two cables at the physical and electrical levels can be comprehensively quantified, providing a reliable reference basis for fault diagnosis. The higher the cable distribution correlation index, the greater the mutual influence between the two cables in terms of laying position, thermal environment, electromagnetic coupling, and sheath circulating current, and the changes in their operating parameters may have a high degree of consistency. The specific steps for analyzing the cable distribution correlation degree include:

[0071] Obtain the spatial distribution consistency index and sheath circuit connectivity index of the cable;

[0072] Perform weighted summation on the spatial distribution consistency index and the sheath circuit connectivity index to obtain the cable distribution correlation index, and the cable distribution correlation index is used to quantify the distribution correlation degree between two cables.

[0073] In the embodiment of the present application, the cable fault alarm module 150 is used to analyze the cable operating state by combining the cable operating parameters with the cable distribution correlation degree and perform cable fault alarm. The cable distribution correlation index is used to screen adjacent cables to ensure that the selected cables are relevant in terms of spatial layout and electrical connectivity. Then, the dynamic time warping algorithm is used to analyze the consistency of the operating parameter fluctuations of adjacent cables, improving the ability to identify the fault propagation mode. When the cable operating parameters exceed the preset range, the system triggers a fault alarm and locates the fault by combining the data of adjacent cables. Especially in the case of missing data of the faulty cable, interpolation repair is performed through the parameter change trend of adjacent cables to ensure the continuity and reliability of fault diagnosis. The specific steps for analyzing the cable operating state and performing cable fault alarm include:

[0074] Obtain the cable operating parameters and the cable distribution correlation index;

[0075] Use the cables with a cable distribution correlation index greater than the preset cable distribution correlation threshold as adjacent cables;

[0076] Analyze the consistency of the fluctuations in the operating parameters of adjacent cables through the Dynamic Time Warping (DTW) algorithm to obtain the consistency index of the fluctuations in the operating parameters. Among them, the DTW algorithm is an algorithm for calculating the similarity between two time series, which can handle the stretching or shrinking of the time axis and is widely used in the fields of pattern recognition and signal processing. In the fault location of high-voltage cables, DTW can be used to analyze the consistency of the fluctuations in the operating parameters of adjacent cables, that is, when a fault occurs, whether the cable operating parameters such as the surface temperature of the cable, the load current of the cable, the sheath circulating current of the cable, and the grounding current of the cable show synchronous change characteristics;

[0077] When the cable operating parameters exceed the preset operating range, issue a cable fault alarm and perform fault location in combination with the consistency of the fluctuations in the operating parameters of adjacent cables;

[0078] The specific steps for performing fault location in combination with the consistency of the fluctuations in the operating parameters of adjacent cables include:

[0079] When there is no missing cable operating parameter of the faulty cable, use the cable operating parameters of the faulty cable for fault location. Among them, the fault location methods include the temperature anomaly analysis method, the current mutation detection method, the sheath circulating current anomaly analysis method, and the fault diagnosis method based on artificial intelligence and machine learning. By analyzing the changes in operating parameters such as the surface temperature of the cable, the load current of the cable, and the sheath circulating current of the cable, combine the signal propagation time, reflection characteristics, or pattern recognition technology to locate the cable fault point;

[0080] When there are missing cable operating parameters of the faulty cable, interpolate and repair the cable operating parameters of the faulty cable according to the consistency of the fluctuations in the operating parameters of adjacent cables and use the interpolated and repaired cable operating parameters for fault location;

[0081] The specific steps for interpolating and repairing the cable operating parameters of the faulty cable include:

[0082] When the consistency index of the fluctuations in the operating parameters is greater than the preset consistency threshold of the fluctuations in the operating parameters, extract the moment when the cable operating parameters of the faulty cable are missing;

[0083] Take the weighted average value of the change rates of the cable operating parameters corresponding to the adjacent cables at the same missing moment as the change coefficient of the cable operating parameters. The weighted weight of the change rate of the cable operating parameters is the ratio of the cable distribution correlation index of the adjacent cable to the average value of the cable distribution correlation index;

[0084] Calculate the missing value of the faulty cable through the change coefficient of the cable operating parameters and perform interpolation repair. The missing value is the product of the cable operating parameter of the faulty cable closest to the missing moment and the corresponding change coefficient of the cable operating parameters;

[0085] When the running parameter fluctuation consistency index is less than or equal to the preset running parameter fluctuation consistency threshold, the cable running parameters of the faulty cable are interpolated and repaired by the moving average method, and the average value of the running parameters at adjacent time points in the cable running parameters of the faulty cable is used as the missing value for interpolation and repair.

[0086] It should be noted that in the embodiments of the present application, when weighted summing the set parameters such as the spatial distribution consistency index and the sheath loop connectivity index, the weighted weight values, the preset cable distribution correlation threshold, and the preset running parameter fluctuation consistency threshold are obtained as follows: By acquiring the cable distribution parameters and cable running parameters of the high-voltage cable to construct a data set, substituting them into the calculation of the cable distribution correlation index and the running parameter fluctuation consistency index, and at the same time obtaining the judgment results of experts on the cable distribution correlation and running parameter fluctuation consistency, the cable distribution correlation index, the running parameter fluctuation consistency index, and the judgment results are imported into the fitting software, and the weighted weight values, the preset cable distribution correlation threshold, and the preset running parameter fluctuation consistency threshold that meet the maximum judgment accuracy rate are output.

[0087] Please refer to Figure 2 , Figure 2 is the overall flow schematic diagram of an online monitoring and alarm method for high-voltage cable running parameters provided by the embodiments of the present application, which specifically includes the following steps:

[0088] S210: Acquire the cable distribution parameters and cable running parameters of the high-voltage cable, and the cable running parameters include the cable surface temperature, the cable load current, and the cable sheath circulating current.

[0089] S220: Analyze the spatial distribution consistency of the cable in the cable tunnel according to the cable distribution parameters;

[0090] The specific steps for analyzing the spatial distribution consistency of the cable in the cable tunnel include:

[0091] Acquire the cable distribution parameters, and the cable distribution parameters include the cable laying path and the cable path length;

[0092] Obtain the cable collinear length by analyzing the cable laying paths of two cables, and the cable collinear length is the overlapping length of the cable laying paths of the two cables;

[0093] Take the ratio of the cable collinear length of the two cables to the minimum value of the cable path lengths of the two cables as the spatial distribution consistency index of the cable, and the spatial distribution consistency index is used to quantify the spatial distribution consistency of the two cables in the cable tunnel.

[0094] S230: Analyze the sheath loop connectivity of the cable according to the cable sheath circulating current;

[0095] The specific steps for analyzing the sheath loop connectivity of the cable include:

[0096] Obtain the circulating current of the cable sheath and sort the circulating current of the cable sheath according to the acquisition time to obtain the time series of the circulating current of the cable sheath;

[0097] Calculate the standard deviation of the circulating current of the cable sheath within the monitoring period and the covariance of the circulating currents of two cables within the same monitoring period through the time series of the circulating current of the cable sheath;

[0098] Take the product of the standard deviations of the circulating currents of two cables within the same monitoring period as the normalization factor;

[0099] Take the ratio of the covariance of the circulating current of the cable sheath to the normalization factor as the connectivity index of the cable sheath circuit, and the connectivity index of the cable sheath circuit is used to quantify the connectivity of the cable sheath circuits of two cables.

[0100] S240: Analyze the distribution correlation degree of cables according to the spatial distribution consistency and the connectivity of the cable sheath circuit;

[0101] The specific steps for analyzing the distribution correlation degree of cables include:

[0102] Obtain the spatial distribution consistency index and the connectivity index of the cable sheath circuit of the cable;

[0103] Perform weighted summation on the spatial distribution consistency index and the connectivity index of the cable sheath circuit to obtain the cable distribution correlation index, and the cable distribution correlation index is used to quantify the distribution correlation degree of two cables.

[0104] S250: Analyze the operating state of the cable by combining the cable operating parameters with the distribution correlation degree of the cables and perform cable fault alarm;

[0105] The specific steps for analyzing the operating state of the cable and performing cable fault alarm include:

[0106] Obtain the cable operating parameters and the cable distribution correlation index;

[0107] Take the cables with the cable distribution correlation index greater than the preset cable distribution correlation threshold as adjacent cables;

[0108] Analyze the fluctuation consistency of the operating parameters of adjacent cables through the dynamic time warping algorithm to obtain the fluctuation consistency index of the operating parameters;

[0109] When the cable operating parameters exceed the preset operating range, perform cable fault alarm and combine the fluctuation consistency of the operating parameters of adjacent cables for fault location;

[0110] The specific steps for combining the fluctuation consistency of the operating parameters of adjacent cables for fault location include:

[0111] When there is no missing value in the cable operating parameters of the faulty cable, use the cable operating parameters of the faulty cable for fault location;

[0112] When there are missing cable operation parameters of a faulty cable, interpolate and repair the cable operation parameters of the faulty cable according to the consistency of the operation parameter fluctuations of adjacent cables, and use the interpolated and repaired cable operation parameters for fault location;

[0113] The specific steps for interpolating and repairing the cable operation parameters of the faulty cable include:

[0114] When the operation parameter fluctuation consistency index is greater than the preset operation parameter fluctuation consistency threshold, extract the moment when the cable operation parameters of the faulty cable are missing;

[0115] Take the weighted average of the cable operation parameter change rates corresponding to adjacent cables at the same missing moment as the cable operation parameter change coefficient, and the weighted weight of the cable operation parameter change rate is the ratio of the cable distribution correlation index of the adjacent cable to the average value of the cable distribution correlation indexes;

[0116] Calculate the missing value of the faulty cable through the cable operation parameter change coefficient and perform interpolation repair. The missing value is the product of the cable operation parameter of the faulty cable closest to the missing moment and the corresponding cable operation parameter change coefficient;

[0117] When the operation parameter fluctuation consistency index is less than or equal to the preset operation parameter fluctuation consistency threshold, interpolate and repair the cable operation parameters of the faulty cable by the moving average method, and take the average value of the operation parameters at adjacent time points in the cable operation parameters of the faulty cable as the missing value for interpolation repair.

[0118] For the various parameters and steps in the above-mentioned online monitoring and alarm method for high-voltage cable operation parameters of the present application, reference can be made to the steps of the various parameters and each unit module in the embodiment of the online monitoring and alarm system for high-voltage cable operation parameters in the foregoing text to implement the corresponding functions, which will not be elaborated herein.

[0119] Please refer to Figure 3 , an embodiment of the present invention further provides an electronic device 300, including a memory 310, a processor 320, and a communication bus 330; the memory 310 and the processor 320 are connected through the communication bus 330. The memory 310 stores thereon a method for online monitoring and alarming of high-voltage cable operation parameters that can be loaded and executed by the processor 320 as provided in the above embodiment.

[0120] The memory 310 can be used to store instructions, programs, codes, code sets or instruction sets. The memory 310 may include a program storage area and a data storage area. Among them, the program storage area can store instructions for implementing the operating system, instructions for at least one function, and instructions for implementing an online monitoring and alarm method for high-voltage cable operation parameters provided in the above embodiments, etc.; the data storage area can store data involved in an online monitoring and alarm method for high-voltage cable operation parameters provided in the above embodiments, etc.

[0121] The processor 320 may include one or more processing cores. The processor 320 runs or executes instructions, programs, code sets or instruction sets stored in the memory 310, calls data stored in the memory 310, and executes various functions of this application and processes data. The processor 320 can be at least one of an application specific integrated circuit (ASIC), a digital signal processor (DSP), a digital signal processing device (DSPD), a programmable logic device (PLD), a field programmable gate array (FPGA), a central processing unit (CPU), a controller, a microcontroller and a microprocessor. It can be understood that for different devices, the electronic devices for implementing the functions of the above-mentioned processor 320 can also be others, and the embodiments of this application do not make specific limitations.

[0122] The communication bus 330 may include a path for transmitting information between the above components. The communication bus 330 can be a PCI (Peripheral Component Interconnect) bus or an EISA (Extended Industry Standard Architecture) bus, etc. The communication bus 330 can be divided into an address bus, a data bus, a control bus, etc. For the sake of convenience of representation, Figure 3 only a double arrow is used to represent it in the figure, but it does not mean that there is only one bus or one type of bus.

[0123] The embodiments of this application provide a computer-readable storage medium, storing a computer program that can be loaded and executed by a processor and is an online monitoring and alarm method for high-voltage cable operation parameters provided in the above embodiments.

[0124] In an embodiment of the present application, a computer-readable storage medium may be a tangible device that holds and stores instructions used by an instruction execution device. The computer-readable storage medium may be, but is not limited to, an electrical storage device, a magnetic storage device, an optical storage device, an electromagnetic storage device, a semiconductor storage device, or any combination of the foregoing. Specifically, the computer-readable storage medium may be a portable computer disk, a hard disk, a USB flash drive, a random access memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or Flash memory), a static random access memory (SRAM), a portable compact disk read-only memory (CD-ROM), a digital versatile disk (DVD), a memory stick, a floppy disk, an optical disk, a magnetic disk, a mechanical encoding device, and any combination of the foregoing.

[0125] The term "comprising", "including" or any other variation thereof is intended to cover a non-exclusive inclusion, such that a process, method, article or device comprising a series of elements includes not only those elements but also other elements not expressly listed, or elements inherent to such process, method, article or device.

[0126] The above description is only a preferred embodiment of the present application and an explanation of the applied technical principle. Those skilled in the art should understand that the scope of the application involved in the present application is not limited to the technical solution formed by the specific combination of the above technical features, and should also cover other technical solutions formed by any combination of the above technical features or their equivalent features without departing from the foregoing application concept. For example, a technical solution formed by mutually replacing the above features with (but not limited to) technical features having similar functions in the present application.

Claims

1. An online monitoring and alarm system for high-voltage cable operating parameters, characterized in that: It includes cable parameter acquisition module, spatial distribution consistency analysis module, sheath loop connectivity analysis module, cable distribution correlation analysis module and cable fault alarm module; The cable parameter acquisition module is used to acquire the cable distribution parameters and cable operation parameters of the high-voltage cable, and the cable operation parameters include the cable surface temperature, the cable load current and the cable sheath circulation current; The spatial distribution consistency analysis module is used to analyze the spatial distribution consistency of the cables in the cable tunnel according to the cable distribution parameters; The sheath loop connectivity analysis module is used to analyze the sheath loop connectivity of the cable according to the cable sheath circulation; The cable distribution correlation analysis module is used to analyze the cable distribution correlation degree according to the spatial distribution consistency and sheath loop connectivity; The cable fault alarm module is used to analyze the cable operation status and issue a cable fault alarm by combining the cable operation parameters with the cable distribution correlation degree.

2. A high-voltage cable operating parameter online monitoring and alarm system according to claim 1, characterized in that: The spatial distribution consistency analysis module is used to analyze the spatial distribution consistency of the cable in the cable tunnel according to the cable distribution parameters. The specific analysis steps include: Obtaining cable distribution parameters, which include cable laying paths and cable path lengths; The cable co-linear length is obtained by analyzing the cable laying paths of the two cables, and the cable co-linear length is the overlapping length of the cable laying paths of the two cables; The ratio of the colinear length of the two cables to the minimum cable path length of the two cables is taken as the spatial distribution consistency index of the cables. The spatial distribution consistency index is used to quantify the spatial distribution consistency of the two cables in the cable tunnel.

3. The online monitoring and alarm system for high-voltage cable operating parameters according to claim 1 is characterized in that: The sheath loop connectivity analysis module is used to analyze the sheath loop connectivity of the cable according to the cable sheath circulation, and the specific analysis steps include: Obtain the cable sheath circulating current and sort the cable sheath circulating current according to the acquisition time to obtain the cable sheath circulating current time series; The standard deviation of the cable sheath circulating current in the monitoring period and the sheath circulating current covariance of the two cables in the same monitoring period are calculated through the cable sheath circulating current time series; The product of the standard deviations of the sheath circulating currents of the two cables in the same monitoring period is taken as the normalization factor; The ratio of the sheath circulating current covariance to the normalization factor is taken as the sheath loop connectivity index of the cable. The sheath loop connectivity index is used to quantify the sheath loop connectivity of two cables.

4. The online monitoring and alarm system for high-voltage cable operating parameters according to claim 1 is characterized in that: The cable distribution correlation analysis module is used to analyze the cable distribution correlation degree according to the spatial distribution consistency and sheath loop connectivity. The specific analysis steps include: Obtain the spatial distribution consistency index and sheath loop connectivity index of the cable; The cable distribution correlation index is obtained by weighted summing the spatial distribution consistency index and the sheath loop connectivity index. The cable distribution correlation index is used to quantify the distribution correlation degree of two cables.

5. The online monitoring and alarm system for high-voltage cable operating parameters according to claim 1 is characterized in that: The cable fault alarm module is used to analyze the cable operation status and perform cable fault alarm by combining the cable operation parameters with the cable distribution correlation degree. The specific analysis steps include: Obtain cable operation parameters and cable distribution correlation index; The cables whose cable distribution correlation index is greater than a preset cable distribution correlation threshold are regarded as adjacent cables; The consistency of the operating parameter fluctuations of adjacent cables is analyzed by dynamic time warping algorithm, and the consistency index of the operating parameter fluctuations is obtained. When the cable operating parameters exceed the preset operating range, a cable fault alarm is issued and the fault is located in combination with the consistency of the operating parameter fluctuations of adjacent cables.

6. A high-voltage cable operating parameter online monitoring and alarm system according to claim 5, characterized in that: The fault location is performed in combination with the consistency of fluctuations of operating parameters of adjacent cables, including: When the cable operating parameters of the faulty cable are not missing, the cable operating parameters of the faulty cable are used to locate the fault; When the cable operating parameters of the faulty cable are missing, the cable operating parameters of the faulty cable are interpolated and repaired according to the consistency of the operating parameter fluctuations of the adjacent cables, and the interpolated and repaired cable operating parameters are used to locate the fault.

7. A high-voltage cable operating parameter online monitoring and alarm system according to claim 6, characterized in that: The interpolation repair of the cable operating parameters of the faulty cable includes: When the operating parameter fluctuation consistency index is greater than a preset operating parameter fluctuation consistency threshold, extracting the missing time of the cable operating parameters of the faulty cable; The weighted mean of the cable operation parameter change rates corresponding to the adjacent cables at the same missing moment is taken as the cable operation parameter change coefficient, and the weighted weight of the cable operation parameter change rate is the ratio of the cable distribution correlation index of the adjacent cables to the mean of the cable distribution correlation index; The missing value of the faulty cable is calculated by the cable operation parameter variation coefficient and interpolated and repaired. The missing value is the product of the cable operation parameter of the faulty cable closest to the missing time and the corresponding cable operation parameter variation coefficient; When the operating parameter fluctuation consistency index is less than or equal to the preset operating parameter fluctuation consistency threshold, the cable operating parameters of the faulty cable are interpolated and repaired by the moving average method, and the mean values ​​of the operating parameters of the cable operating parameters of the faulty cable at adjacent time points are used as missing values ​​for interpolation and repair.

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