Method and system for monitoring thermal degradation of cable in real time

Abstract

The invention discloses a method and system for monitoring thermal degradation of a cable in real time, and relates to the technical field of cable fault detection, and the method comprises the steps: obtaining and verifying gas data, and compressing the verified gas data through a compression algorithm; caching the data and regularly detecting the current data volume, and performing cable thermal degradation identification on the gas data through an identification algorithm; and transmitting the data encryption information to a remote server to generate a trend curve. According to the method, automatic monitoring and intelligent analysis of the state of the cable and early fire hazard early warning are realized by adopting an intelligent sensor and an analysis and recognition algorithm, the requirement of manual intervention is reduced, and the early warning efficiency and accuracy are improved; the timeliness and the accuracy of cable state data are ensured through an efficient data acquisition and data transmission mechanism; through the automatic monitoring system, the manual maintenance demand is reduced, and the maintenance cost and the personnel safety risk are reduced.

Description

Technical Field

[0001] The present invention relates to the technical field of cable fault detection, and in particular to a method and system for real-time monitoring of cable thermal degradation. Background Art

[0002] With the rapid economic development in my country in recent years, the demand for electricity has shown a sharp growth trend, which has put forward higher requirements on the urban power distribution capacity. As one of the key facilities of the power supply system, the safe operation of cables directly determines the reliable operation of the power system and provides a basis for the safe and orderly development of power grid work.

[0003] Existing studies have shown that as the service life of cables increases, their insulation performance will drop significantly. Such unavoidable factors will cause thermal degradation of cables. Once thermal degradation occurs in cables, it is very likely to cause large-scale power outages or even fires. This will not only bring huge economic losses, but also pose a serious threat to the stable operation of the power system, resulting in incalculable losses and consequences. Therefore, it is particularly important to monitor the thermal degradation of cables in a timely manner.

[0004] However, in terms of cable monitoring, there are many problems, such as high risk of manual maintenance, inability to achieve early warning of fire hazards, and inability to automatically and intelligently handle power accidents. Therefore, there is an urgent need for a method for real-time monitoring and early warning of cables in closed spaces to ensure that all aspects of cable data can be obtained and transmitted in a timely manner to ensure the safe operation of the cables. Summary of the invention

[0005] In view of the above-mentioned problems, the present invention is proposed.

[0006] Therefore, the technical problems solved by the present invention are: the existing cable monitoring methods have high risks of manual maintenance, cannot achieve early warning of fire hazards, cannot automatically and intelligently handle power accidents, and how to achieve real-time monitoring and early warning of cables in closed spaces to ensure that all aspects of cable data can be obtained and transmitted in a timely manner to ensure the safe operation of the cables.

[0007] To solve the above technical problems, the present invention provides the following technical solutions: a method for real-time monitoring of cable thermal degradation, comprising acquiring and verifying gas data, compressing the verified gas data through a compression algorithm; caching data and regularly detecting the current data volume, and identifying cable thermal degradation through an identification algorithm for the gas data; transmitting data encryption information to a remote server to generate a trend curve.

[0008] As a preferred solution of the method for real-time monitoring of cable thermal degradation described in the present invention, the acquisition and verification of gas data includes high-precision synchronous collection of cable thermal degradation gas, and verification and error detection of the gas data.

[0009] As a preferred solution of the method for real-time monitoring of cable thermal degradation described in the present invention, wherein: compressing the verified gas data by a compression algorithm includes losslessly compressing the verified gas data in real time by a compression algorithm.

[0010] As a preferred solution of the method for real-time monitoring of cable thermal degradation described in the present invention, the caching of data and periodic detection of the current data volume include caching data that exceeds resources, periodic detection of the current data volume, and dynamically starting the response data CPU according to the data volume.

[0011] As a preferred solution of the method for real-time monitoring of cable thermal degradation described in the present invention, the identifying of cable thermal degradation on gas data by using an identification algorithm includes processing data by using an identification algorithm to determine whether thermal degradation occurs to the cable.

[0012] As a preferred solution of the method for real-time monitoring of cable thermal degradation described in the present invention, the transmission of data encryption information to a remote server includes encrypting the data using encryption technology, and transmitting the encrypted information to the remote server through a 4G network.

[0013] As a preferred solution of the method for real-time monitoring of cable thermal degradation described in the present invention, the generation of the trend curve includes the server decrypting the received data and displaying the monitoring data in real time, and generating a corresponding trend curve.

[0014] Another object of the present invention is to provide a system for real-time monitoring of cable thermal degradation, which can determine whether the cable has thermally degraded by collecting gas data synchronously with high precision and analyzing the data in real time using a recognition algorithm, thereby solving the problem that existing cable monitoring technology cannot provide early warning of fire hazards.

[0015] As a preferred solution of the system for real-time monitoring of cable thermal degradation described in the present invention, it includes: an acquisition compression module, a cache identification module, and an encryption transmission module; the acquisition compression module is used to obtain gas data and verify it, and compress the verified gas data through a compression algorithm; the cache identification module is used to cache data and regularly detect the current data volume, and identify cable thermal degradation of the gas data through an identification algorithm; the encryption transmission module is used to transmit data encryption information to a remote server to generate a trend curve.

[0016] A computer device comprises a memory and a processor, wherein the memory stores a computer program, and the processor executes the computer program to implement a method for real-time monitoring of cable thermal degradation.

[0017] A computer-readable storage medium stores a computer program, which, when executed by a processor, implements the steps of a method for real-time monitoring of thermal degradation of a cable.

[0018] Beneficial effects of the present invention: The method for real-time monitoring of cable thermal degradation provided by the present invention can detect potential safety hazards in advance by real-time monitoring of whether the cable has thermally deteriorated, so as to take measures to prevent cable failures and reduce the risk of fire and large-scale power outages; by adopting intelligent sensors and analysis and recognition algorithms, automatic monitoring of cable status, intelligent analysis and early warning of fire hazards are realized, the need for manual intervention is reduced, and the efficiency and accuracy of warning are improved; by efficient data collection and data transmission mechanisms, the timeliness and accuracy of cable status data are ensured; by an automated monitoring system, the need for manual maintenance is reduced, and maintenance costs and personnel safety risks are reduced. The present invention achieves better results in terms of efficient data collection, hidden danger warning, automation, and intelligence. BRIEF DESCRIPTION OF THE DRAWINGS

[0019] In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the accompanying drawings required for use in the description of the embodiments will be briefly introduced below. Obviously, the accompanying drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other accompanying drawings can be obtained based on these accompanying drawings without paying creative work.

[0020] Figure 1 An overall flow chart of a method for real-time monitoring of cable thermal degradation provided by the first embodiment of the present invention.

[0021] Figure 2 A cable thermal degradation simulation experiment diagram of a method for real-time monitoring of cable thermal degradation provided by the second embodiment of the present invention.

[0022] Figure 3 An overall flow chart of a system for real-time monitoring of cable thermal degradation provided by the third embodiment of the present invention. DETAILED DESCRIPTION

[0023] In order to make the above-mentioned purposes, features and advantages of the present invention more obvious and easy to understand, the specific implementation methods of the present invention are described in detail below in conjunction with the drawings of the specification. Obviously, the described embodiments are part of the embodiments of the present invention, but not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary persons in the art without creative work should fall within the scope of protection of the present invention.

[0024] Example 1, reference Figure 1 , as an embodiment of the present invention, provides a method for real-time monitoring of cable thermal degradation, comprising:

[0025] S1: Obtain and verify gas data, and compress the verified gas data using a compression algorithm.

[0026] Furthermore, obtaining and verifying gas data includes high-precision synchronous acquisition of cable thermal degradation gases, and verifying and detecting errors in the gas data;

[0027] High-precision acquisition includes acquisition accuracy of 16 bits or more;

[0028] Synchronous acquisition includes three gas sensors to synchronously sample the gas;

[0029] Verification and error detection of gas data involves verifying and detecting errors in the acquired data using verification techniques.

[0030] It should be noted that the verification technology may be a cyclic redundancy check technology, or a parity check technology, or other technologies suitable for data verification.

[0031] In the embodiment of the present application, the verification technology uses a cyclic redundancy check technology. Specifically, by defining a specific polynomial, the collected gas data is padded with zeros, and the generated polynomial is divided by the zero-padded data to obtain a remainder. The obtained remainder is added to the original data to form data with verification. If the transmitted data verification is incorrect, a data error signal is issued to request re-data collection and verification again until the data is correct; the signal includes "0" for correct data and "1" for data error requesting retransmission.

[0032] In an optional embodiment, the verification technology uses a parity check technology. Taking odd check as an example, specifically, the collected gas data is counted, and the number of "1"s in the statistics is counted. If the number of "1"s is an even number, a "1" is added to the end of the data as an odd check bit; if the number of "1"s is an odd number, a "0" is added to the end of the data as an odd check bit, and the gas data and the odd check bit are transmitted together. After the receiver receives the data, the statistics and the number of "1"s in the odd check bit are counted. If the number of "1"s is an odd number, it indicates that the data is correct; if the number of "1"s is an even number, it indicates that the data is wrong and a retransmission request is made.

[0033] It should also be noted that compressing the verified gas data by means of a compression algorithm includes losslessly compressing the verified gas data in real time by means of a compression algorithm;

[0034] The compression algorithm for losslessly compressing the verified gas data may be a Huffman coding algorithm, or an LZ77 algorithm, or other algorithms suitable for lossless compression.

[0035] In this embodiment, the compression algorithm uses the Huffman coding algorithm. Specifically, the frequency of occurrence of each data is calculated, a Huffman tree is constructed, and encoding is performed by regenerating the code. The Huffman expectation is expressed as:

[0036]

[0037] Among them, p i Indicates the frequency of occurrence of each match, l i Indicates the encoding length.

[0038] In an optional embodiment, the compression algorithm uses the LZ77 algorithm. Specifically, an empty dictionary is created and a pointer is initialized. A character or a string of multiple characters is read from the data. The read string is searched in the dictionary. If found, the index and length of the string in the dictionary are output. If not found, the string is added to the dictionary, and the first character and length of the string are output. The read string is added to the dictionary until all data is compressed.

[0039] In an optional embodiment, the compression algorithm used is the Deflate algorithm. Deflate is a lossless compression algorithm that combines the LZ77 algorithm and the Huffman coding algorithm and has a higher compression ratio and faster compression and decompression speed. Specifically, the data is decomposed into a series of short sentences by using the LZ77 algorithm, and pointers, lengths and characters are generated. The pointers, lengths and characters generated by the LZ77 algorithm are then encoded through Huffman coding to generate the final compressed data.

[0040] It should also be noted that the accuracy and timeliness of subsequent data transmission are ensured through high-precision synchronous data collection, data verification, and data compression.

[0041] S2: Cache data and regularly detect the current data volume, and use the recognition algorithm to identify cable thermal degradation based on the gas data.

[0042] Furthermore, caching data and periodically detecting the current data volume includes caching data that exceeds resources, periodically detecting the current data volume, and dynamically starting a response data CPU according to the data volume;

[0043] Data caching includes caching data that exceeds resources through the DMA unit;

[0044] Dynamically start the response data CPU according to the data volume. When the data volume is small, start CPU1; when the data volume is medium, start CPU1 and CPU2; when the data volume is large, start all available CPUs.

[0045] Communication between CPUs uses the AXI4 bus to send startup or shutdown instructions;

[0046] If there is an abnormality in the sending and receiving of instructions, the system automatically tries to start the next CPU;

[0047] By default, CPU1 is started first. If CPU1 fails to work properly, the remaining CPUs are tried in turn.

[0048] Ensure the efficiency and stability of the system under different data processing requirements.

[0049] It should be noted that identifying thermal degradation of the cable by using an identification algorithm on gas data includes processing the data by using an identification algorithm to determine whether thermal degradation of the cable occurs.

[0050] It should also be noted that the identification algorithm can be to process data through a support vector machine to identify thermal degradation of the cable, or to process data through a multi-layer perceptron to confirm whether thermal degradation of the cable has occurred, or other learning algorithms suitable for identifying thermal degradation of the cable.

[0051] In an embodiment of the present application, the recognition algorithm uses a support vector machine based on an FPGA accelerator module to process gas data. Specifically, by removing missing values, outliers and noise in the data, selecting gas characteristics related to thermal degradation of the cable, and performing standardization processing, the data is divided into a training set and a test set, and the support vector machine model is trained. The gas data is predicted by the trained support vector machine model to determine whether thermal degradation has occurred in the cable.

[0052] It should also be noted that FPGA is a semiconductor device that can realize various mathematical logic functions through programming. The FPGA accelerator module includes an integrated PS end and a PL end integrated with the main control CPU. The FPGA accelerator mainly accelerates the SpMV computing core in the support vector machine. The PS end mainly implements the prediction stage of the vector machine. The training sample data and the parameters of the configuration PL end are transmitted to the PL end through the AXI bus. After the PL end processes the data, it is transmitted back to the PS end for decision-making. Specifically, the PL end stores the data line from the PS end into the BRAM. The SpMV accelerator has many parallel data processing units. SpMV reads the data and completes the matrix calculation through parallel data processing units.

[0053] In an optional embodiment, the recognition algorithm uses a multilayer perceptron to process the gas data. Specifically, by removing outliers and noise data, scaling the data to the same range, such as scaling the data to between 0-1 or -1-1, the processed data is divided into a training set and a test set, a multilayer perceptron model is constructed, the prediction error of the model is evaluated using a cross entropy loss function, the network parameters are updated using a gradient descent algorithm, and the trained model is used to predict the gas data to determine whether thermal degradation has occurred in the cable.

[0054] S3: Transmit the encrypted data information to the remote server to generate a trend curve.

[0055] Furthermore, transmitting the encrypted data information to the remote server includes encrypting the data using encryption technology and transmitting the encrypted information to the remote server via the 4G network;

[0056] Encrypting data using encryption technology includes using an encryption transmission module to encrypt data using asymmetric encryption technology, by generating a pair of keys, namely a public key and a private key, configuring the public key into the encryption transmission module, and during encryption, converting the recognition result into a byte stream, using the public key to perform modular exponential operation on the byte stream to generate ciphertext.

[0057] It should be noted that generating a trend curve includes the server decrypting the received data and displaying the monitoring data in real time, and generating a corresponding trend curve.

[0058] Example 2, reference Figure 2 , which is an embodiment of the present invention, provides a method for real-time monitoring of cable thermal degradation. In order to verify the beneficial effects of the present invention, scientific demonstration is carried out through economic benefit calculation and simulation experiments.

[0059] like Figure 2 The figure shows the simulation experiment diagram of this embodiment. The result in the figure has three states: 0, 1, and 2, which respectively represent the initial state, the cable has not been thermally degraded, and the cable has been thermally degraded. The experiment used Matlab to train the support vector machine and then conducted a cable thermal degradation recognition test on 1500 sets of data. At the same time, Modelsim was used to simulate the FPGA program. The recognition accuracy of the two platforms is shown in Table 1.

[0060] Table 1 Recognition accuracy of two platforms

[0061] Test platform Identify the correct number of samples Recognition accuracy Matlab 1432 95.4％ Modelsim 1429 95.2％

[0062] The experimental results show that, whether using Matlab or Modelsim platform, the recognition algorithm based on support vector machine has achieved an accuracy rate of over 95%, indicating that the method proposed in the present invention has high reliability and can effectively identify whether the cable has thermal degradation.

[0063] Through experimental comparison, the recognition accuracy of Matlab and Modelsim platforms shows that the difference between the two is not large, indicating that the FPGA accelerator module plays a positive role in support vector machine operations, can improve data processing efficiency, and does not reduce recognition accuracy.

[0064] The present invention can detect potential safety hazards in advance by real-time monitoring of cable thermal degradation, so as to take measures to prevent cable failures and reduce the risks of fire and large-scale power outages.

[0065] Example 3, reference Figure 3 , as an embodiment of the present invention, provides a system for real-time monitoring of cable thermal degradation, including a collection and compression module, a cache identification module, and an encryption transmission module;

[0066] The acquisition and compression module is used to obtain and verify gas data, and compress the verified gas data through a compression algorithm; the cache identification module is used to cache data and regularly detect the current data volume, and identify cable thermal degradation of the gas data through an identification algorithm; the encryption transmission module is used to transmit data encryption information to a remote server to generate a trend curve.

[0067] If the function is implemented in the form of a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present invention, or the part that contributes to the prior art, or the part of the technical solution, can be embodied in the form of a software product. The computer software product is stored in a storage medium, including several instructions for a computer device (which can be a personal computer, server, or network device, etc.) to perform all or part of the steps of the methods of each embodiment of the present invention. The aforementioned storage medium includes: U disk, mobile hard disk, read-only memory (ROM, Read-Only Memory), random access memory (RAM, Random Access Memory), disk or optical disk, etc. Various media that can store program codes.

[0068] The logic and / or steps represented in the flowchart or otherwise described herein, for example, can be considered as an ordered list of executable instructions for implementing logical functions, and can be embodied in any computer-readable medium for use by an instruction execution system, device or apparatus (such as a computer-based system, a system including a processor, or other system that can fetch instructions from an instruction execution system, device or apparatus and execute instructions), or in conjunction with such instruction execution systems, devices or apparatuses. For the purposes of this specification, "computer-readable medium" can be any device that can contain, store, communicate, propagate or transmit a program for use by an instruction execution system, device or apparatus, or in conjunction with such instruction execution systems, devices or apparatuses.

[0069] More specific examples of computer-readable media (a non-exhaustive list) include the following: an electrical connection with one or more wires (electronic device), a portable computer disk case (magnetic device), a random access memory (RAM), a read-only memory (ROM), an erasable and programmable read-only memory (EPROM or flash memory), an optical fiber device, and a portable compact disk read-only memory (CDROM). In addition, the computer-readable medium may even be a paper or other suitable medium on which the program is printed, since the program may be obtained electronically, for example, by optically scanning the paper or other medium, followed by editing, deciphering, or processing in another suitable manner as necessary, and then stored in a computer memory.

[0070] It should be understood that the various parts of the present invention can be implemented by hardware, software, firmware or a combination thereof. In the above-mentioned embodiments, multiple steps or methods can be implemented by software or firmware stored in a memory and executed by a suitable instruction execution system. For example, if implemented by hardware, as in another embodiment, it can be implemented by any one of the following technologies known in the art or their combination: a discrete logic circuit having a logic gate circuit for implementing a logic function for a data signal, a dedicated integrated circuit having a suitable combination of logic gate circuits, a programmable gate array (PGA), a field programmable gate array (FPGA), etc. It should be noted that the above embodiments are only used to illustrate the technical solution of the present invention and are not limited. Although the present invention is described in detail with reference to the preferred embodiments, it should be understood by those skilled in the art that the technical solution of the present invention can be modified or replaced by equivalents without departing from the spirit and scope of the technical solution of the present invention, which should be included in the scope of the claims of the present invention.

[0071] It should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention rather than to limit it. Although the present invention has been described in detail with reference to the preferred embodiments, those skilled in the art should understand that the technical solutions of the present invention may be modified or replaced by equivalents without departing from the spirit and scope of the technical solutions of the present invention, which should all be included in the scope of the claims of the present invention.

Claims

1. A method for real-time monitoring of cable thermal degradation, characterized in that: include: Obtain and verify gas data, and compress the verified gas data using a compression algorithm; Cache data and regularly check the current data volume, and use recognition algorithms to identify cable thermal degradation based on gas data; Transmit data encryption information to the remote server to generate trend curves.

2. The method for real-time monitoring of cable thermal degradation according to claim 1, characterized in that: The gas data acquisition and verification includes high-precision synchronous acquisition of cable thermal degradation gas, and verification and error detection of the gas data.

3. The method for real-time monitoring of cable thermal degradation according to claim 2, characterized in that: The compressing the verified gas data by using a compression algorithm includes losslessly compressing the verified gas data in real time by using a compression algorithm.

4. The method for real-time monitoring of cable thermal degradation according to claim 3, characterized in that: The caching of data and periodic detection of the current data volume includes caching data that exceeds resources, periodic detection of the current data volume, and dynamically starting a response data CPU according to the size of the data volume.

5. The method for real-time monitoring of cable thermal degradation according to claim 4, characterized in that: The identifying of thermal degradation of the cable by using an identification algorithm for gas data includes processing the data by using an identification algorithm to determine whether thermal degradation occurs to the cable.

6. The method for real-time monitoring of cable thermal degradation according to claim 5, characterized in that: The transmitting of the data encryption information to the remote server includes encrypting the data using encryption technology, and transmitting the encrypted information to the remote server via a 4G network.

7. The method for real-time monitoring of cable thermal degradation according to claim 6, characterized in that: The generating of the trend curve includes the server decrypting the received data and displaying the monitoring data in real time, and generating a corresponding trend curve.

8. A system using the method for real-time monitoring of cable thermal degradation according to any one of claims 1 to 7, characterized in that: It includes collection compression module, cache identification module and encryption transmission module; The acquisition and compression module is used to acquire and verify gas data, and compress the verified gas data through a compression algorithm; The cache identification module is used to cache data and regularly detect the current data volume, and to identify cable thermal degradation on gas data through an identification algorithm; The encryption transmission module is used to transmit the data encryption information to the remote server to generate a trend curve.

9. A computer device comprising a memory and a processor, wherein the memory stores a computer program, wherein: When the processor executes the computer program, the steps of the method for real-time monitoring of thermal degradation of a cable according to any one of claims 1 to 7 are implemented.

10. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, the steps of the method for real-time monitoring of thermal degradation of a cable according to any one of claims 1 to 7 are implemented.

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