Traveling Wave Fault Location System and Method Optimized Based on Artificial Intelligence

Abstract

The present invention discloses a traveling wave fault location system and method optimized based on artificial intelligence, which relates to the technical field of traveling wave fault location, and includes: a clock accuracy analysis module, a laying environment analysis module, a database, a fault location analysis module, and a user module. The clock accuracy analysis module analyzes the ideal traveling wave speed of traveling waves in different types of cables and the relative error of the time when the traveling wave signals are received at both ends of the cable. The laying environment analysis module analyzes the interference suffered by the traveling wave speed in different environments. The database stores the actual cable laying environment of any cable. When the traveling wave of the cable fault is received at both ends of the cable, the fault location analysis module analyzes the actual range of the cable fault. The user module displays the actual range of the cable fault and the cable fault environment analyzed by the system to the user. The present invention takes into account that the propagation speed of cables is different in different materials and different laying environments, establishes a database helpful for traveling wave fault location, and provides the actual range of cable faults for users more accurately.

Description

Technical Field

[0001] The present invention relates to the field of fault traveling wave fault location, and in particular to a traveling wave fault location system and method based on artificial intelligence optimization. Background Art

[0002] With the requirement of overall aesthetic layout of industrial development, cables are increasingly used in various fields of production and life. For the sake of economic efficiency, the environment for cable laying is complex. Once a fault occurs, it is difficult to find the exact location of the fault point in time and eliminate the fault to restore power supply, which often causes significant economic losses due to power outages and production stoppages. How to quickly and accurately find the fault point and restore power supply as soon as possible has become a problem that has long plagued power workers.

[0003] Traveling wave fault location is a common method to determine the location of cable faults. In high-voltage direct current transmission, there is traveling wave ranging based on global GPS clock positioning for line faults. Fault location is performed based on the propagation time of the fault traveling wave in the line, and the traveling wave generated by the line fault is used to locate the fault. On the one hand, considering that the propagation speed of cables is different in different materials and different laying environments, there is a lack of databases that consider the effects of materials and laying environments on the traveling wave speed. On the one hand, the propagation speed of traveling waves in cables of different materials is different. When determining the location of cable faults, the staff needs to have a lot of cable maintenance experience, and the work quality of the staff is required to be high. On the other hand, the traveling wave speed is affected by the laying environment. The existing traveling wave positioning system is difficult to eliminate the influence of environmental factors on the fault location accuracy.

[0004] Therefore, people need a traveling wave fault location system and method based on artificial intelligence optimization to solve the above problems. Summary of the invention

[0005] The purpose of the present invention is to provide a traveling wave fault location system and method based on artificial intelligence optimization to solve the problems raised in the above background technology.

[0006] In order to solve the above technical problems, the present invention provides the following technical solutions: a traveling wave fault location system based on artificial intelligence optimization, the system comprising: a clock accuracy analysis module, a laying environment analysis module, a database, a fault location analysis module and a user module;

[0007] The clock accuracy analysis module analyzes the relative error of the time when the traveling wave signal is received at both ends of the cable by measuring the ideal traveling wave speed in cables of different types;

[0008] Analyze the interference of the traveling wave velocity in different environments by using the installation environment analysis module;

[0009] The actual cable laying environment of any cable is stored in the database;

[0010] When the cable fault traveling wave is received at both ends of the cable by the fault location analysis module, analyze the actual range of the cable fault;

[0011] Through the user module, display the actual range of the cable fault and the cable fault environment analyzed by the system to the user.

[0012] Furthermore, the clock accuracy analysis module simulates a fault traveling wave at the midpoint position of any type of cable, calculates the ideal traveling wave speed in the cable based on the time required for the traveling wave to be received at both ends of the cable, and analyzes the relative error of the received traveling wave signal based on the time difference required for the traveling wave to be received at both ends of the cable.

[0013] Furthermore, the laying environment analysis module simulates a fault traveling wave for any type of cable in any environment, calculates the environmental traveling wave speed, compares the environmental traveling wave speed with the ideal traveling wave speed, and analyzes the degree of interference of any environment on the traveling wave speed.

[0014] Furthermore, the database stores the cable laying environment, where the cable laying environment refers to the environment in which any part of any cable is located. When the laying environment of any cable changes, the staff updates the database.

[0015] Furthermore, the fault location analysis module determines the ideal position of the cable fault based on the cable material and the time when the traveling wave is first received at both ends of the cable, calculates the ideal range of the cable fault considering the relative error of the received traveling wave signal, and calculates the actual range of the cable fault considering the cable laying environment.

[0016] A traveling wave fault location method optimized based on artificial intelligence includes the following steps:

[0017] S1: Determine the reference environment, simulate a fault traveling wave at the midpoint of any type of cable, calculate the ideal traveling wave speed of the traveling wave in any type of cable in the reference environment, and calculate the relative error when the traveling wave signal is received at both ends of any type of cable;

[0018] S2: Conduct experiments on any type of cable in any environment, compare the environmental traveling wave speed with the ideal traveling wave speed, and analyze the degree of interference of any environment on the traveling wave speed of any type of cable;

[0019] S3: When the cable fault traveling wave is received at both ends of any cable, call the information in the database, analyze the ideal position of the cable fault, calculate the ideal range of the cable fault considering the relative error of the received traveling wave signal time, and calculate the actual range of the cable fault considering the cable laying environment;

[0020] S4: Analyze the actual range of the cable fault, call the cable laying environment from the database, and prompt the customer about the cable fault location environment.

[0021] Further, in step S1, the system selects any environment as the reference environment. The reference environment often selects the most common environment for cable laying, which helps to reduce the error caused by environmental interference. An experiment is conducted on a cable with model I and length S. The time required for the cable's a-end to receive the traveling wave for the first P times is {T a_1 , T a_2 , …, T a_P}, and the time required for the cable's b-end to receive the traveling wave for the first P times is {T b_1 , T b_2 , …, T b_P}. Calculate the ideal traveling wave speed V I in the cable of model I:

[0022]

[0023] where I = 1, 2, …, N, and I represents the I-th cable model among the N cable models experimented by the system. Analyze the relative error α Q when receiving the traveling wave signal for the Q-th time at both ends of the cable with model I and length S:

[0024]

[0025] where Q = 1, 2, …, P. When Q = 1, define T a_0 = 0, T b_0 = 0, calculate and compare one by one

[0026] {α 1 , α 2 , …, α P}. The relative error α when receiving the traveling wave signal at both ends of the cable is α = max(α 1 , α 2 , …, α P ). Store the calculated data information in the database. The relative error has nothing to do with the cable material and is affected by the clock accuracy when receiving the traveling wave signal at both ends of the cable. Considering the relative error, the accuracy is increased without changing the hardware cost;

[0027] Further, in step S2, an experiment is conducted on a cable with model I and length S. There are n environments in which the user uses the cable. Lay the cable in the i-th environment and simulate a fault traveling wave at the midpoint of the cable. It can be calculated that the traveling wave speed V I_i of the I-th type of cable in environment i. Conduct experiments in these n environments respectively, and it can be calculated that the traveling wave speeds of the I-th type of cable in the n environments are {V I_1 , V I_2 , …, V I_3}. Calculate the interference degree β I_i of environment i on the traveling wave speed in the cable of model I:

[0028] β I_i =V I_i -V I ;

[0029] where \(i = 1, 2, \cdots, n\), substitute one by one into \(\{I = 1, 2, \cdots, N\}\), and calculate that the interference degrees of the environment \(i\) on the traveling wave speeds in \(N\) types of cables are respectively \(\{\beta 1_i ,\beta 2_i ,\cdots,\beta N_i \}\). Store the calculated data information in the database, establish a database of the speeds of traveling waves in cables with different materials, and provide guarantee for the subsequent fault location analysis.

[0030] Furthermore, in step S3, when the traveling waves of the cable fault are received at both ends of any faulty cable, the system marks one end of the cable as the a - end and the other end as the b - end. The time point when the traveling wave signal is received at the a - end of the faulty cable is \(t a \), and the time point when the traveling wave signal is received at the b - end of the cable is \(t b \). The system searches from the database and knows that the model of the faulty cable is \(I\), the cable length is \(L\), the traveling wave speed in the \(i\) - th environment is \(V I_i \), and the relative error when the traveling wave signals are received at both ends of the cable is \(\alpha\). The ideal position of the cable fault refers to: when the cable laying environment is completely regarded as the reference environment, the position at a distance \(L a \) from the a - end of the cable. Calculate \(L a \):

[0031]

[0032] Consider the relative error \(\alpha\) of receiving the traveling wave signal and calculate the ideal range of the cable fault. The ideal range of the cable fault refers to: when considering the relative error \(\alpha\), the set of distances of the cable fault position from the a - end of the cable \((L a - 0.5m, L a +0.5m)\). Calculate the fluctuation length \(m\) of the ideal range of the cable fault:

[0033]

[0034] The system retrieves cable information in the database. Among the distances from the ideal position of the cable fault to the a - end of the cable, the total length of the cable with laying environment \(i\) is \(L a_i \). Retrieve one by one, and the lengths from the a - end of the cable in \(n\) environments are respectively \(\{L a_1 ,L a_2 ,\cdots,L a_n \}\), and the lengths from the b - end of the cable in \(n\) environments are respectively \(\{L b_1 ,L b_2 ,\cdots,L b_n \}\). Consider the cable laying environment and calculate the actual range of the cable fault \((La -0.5m-0.5M, L a +0.5m+0.5M), calculate the fluctuation length M of the actual range of cable fault affected by environmental interference:

[0035]

[0036] Taking into account that the actual range of cable faults is affected by relative errors and environmental interference, the error caused by interference is reduced while judging the cable fault location, providing users with a more accurate actual range of cable faults.

[0037] Furthermore, in step S4, the system compares the actual scope of the cable fault with the cable laying environment stored in the database, prompts the user of the faulty cable, and indicates the actual scope of the cable fault and the corresponding environment in the pipeline diagram for the user, thereby reducing the time for the user to go back and forth to confirm the fault environment and reducing the workload of manual work.

[0038] Compared with the prior art, the beneficial effects achieved by the present invention are: the traveling wave ranging fault location based on global GPS clock positioning is used to replace manual experience judgment, thereby reducing the uncertainty caused by manual labor. On the one hand, considering that the propagation speed of cables under different materials and different laying environments is different, a database considering the influence of materials and laying environments on the traveling wave speed is provided; on the other hand, considering that the traveling wave speed is affected by the laying environment, the laying environment interference is taken into account while calculating the cable fault location, so as to provide users with a more accurate actual range of the cable fault. BRIEF DESCRIPTION OF THE DRAWINGS

[0039] The accompanying drawings are used to provide a further understanding of the present invention and constitute a part of the specification. Together with the embodiments of the present invention, they are used to explain the present invention and do not constitute a limitation of the present invention. In the accompanying drawings:

[0040] Figure 1 It is a structural diagram of the traveling wave fault location system based on artificial intelligence optimization of the present invention;

[0041] Figure 2 It is a flow chart of the traveling wave fault location method based on artificial intelligence optimization of the present invention. DETAILED DESCRIPTION

[0042] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0043] See also Figure 1 andFigure 2 , the present invention provides a technical solution: a traveling wave fault location system optimized based on artificial intelligence, the system includes: a clock accuracy analysis module, a laying environment analysis module, a database, a fault location analysis module and a user module;

[0044] Through the clock accuracy analysis module, analyze the relative error of the time of receiving the traveling wave signals at both ends of the cable by analyzing the ideal traveling wave speed of the traveling wave in different types of cables.

[0045] Through the laying environment analysis module, analyze the interference suffered by the traveling wave speed in different environments.

[0046] Through the database, store the actual cable laying environment of any cable.

[0047] When the traveling wave of the cable fault is received at both ends of the cable through the fault location analysis module, analyze the actual range of the cable fault.

[0048] Through the user module, display the actual range of the cable fault and the cable fault environment analyzed by the system to the user.

[0049] The clock accuracy analysis module simulates a fault traveling wave at the midpoint position of any type of cable, calculates the ideal traveling wave speed of the traveling wave in any type of cable through the time required for both ends of the cable to receive the traveling wave, and analyzes the relative error of the received traveling wave signals through the time difference required for both ends of the cable to receive the traveling wave.

[0050] The laying environment analysis module simulates a fault traveling wave for any type of cable in any environment, calculates the environmental traveling wave speed, compares the environmental traveling wave speed with the ideal traveling wave speed, and analyzes the interference degree of any environment on the traveling wave speed.

[0051] The database stores the cable laying environment, and the cable laying environment refers to the environment where any part of any cable is located. When the laying environment of any cable changes, the staff updates the database.

[0052] The fault location analysis module determines the ideal position of the cable fault through the cable material and the time when the traveling wave is first received at both ends of the cable, calculates the ideal range of the cable fault considering the relative error of the received traveling wave signals, and calculates the actual range of the cable fault considering the cable laying environment.

[0053] A traveling wave fault location method optimized based on artificial intelligence includes the following steps:

[0054] S1: Determine the reference environment, simulate a fault traveling wave at the midpoint of any type of cable, calculate the ideal traveling wave speed of the traveling wave in any type of cable in the reference environment, and calculate the relative error when the traveling wave signals are received at both ends of any type of cable.

[0055] S2: Conduct experiments on any type of cable in any environment, compare the environmental traveling wave speed with the ideal traveling wave speed, and analyze the interference degree of any environment on the traveling wave speed of any type of cable;

[0056] S3: When the traveling waves of cable faults are received at both ends of any cable, call the information in the database, analyze the ideal position of the cable fault, calculate the ideal range of the cable fault considering the relative error of the received traveling wave signal time, and calculate the actual range of the cable fault considering the cable laying environment;

[0057] S4: Analyze the actual range of the cable fault, call the cable laying environment from the database, and prompt the customer about the environment of the cable fault location.

[0058] In step S1, the system selects any environment as the reference environment. The reference environment often selects the most common environment for cable laying, which helps to reduce the error caused by environmental interference. Conduct experiments on a cable of model I with length S. The time required for the cable end a to receive the traveling wave for the first P times is {T a_1 , T a_2 , …, T a_P}, and the time required for the cable end b to receive the traveling wave for the first P times is {T b_1 , T b_2 , …, T b_P}. Calculate the ideal traveling wave speed V I :

[0059]

[0060] where I = 1, 2, …, N. I represents the I-th cable model among the N types of cable models for system experiments. Analyze the relative error α when receiving the traveling wave signal for the Q-th time at both ends of a cable of model I with length S Q :

[0061]

[0062] where Q = 1, 2, …, P. When Q = 1, define T a_0 = 0, T b_0 = 0, calculate and compare one by one

[0063] {α 1 , α 2 , …, α P}, and the relative error α when receiving the traveling wave signal at both ends of the cable is α = max(α 1 , α 2 , …, α P ). Store the calculated data information in the database. The relative error has nothing to do with the cable material and is affected by the clock accuracy when receiving the traveling wave signal at both ends of the cable. Considering the relative error, the accuracy is increased without changing the hardware cost;

[0064] In step S2, an experiment is conducted on a cable with model I and length S. There are n types of environments in which the user uses the cable. When the cable is laid in the i-th environment, a fault traveling wave is simulated at the midpoint of the cable, and the traveling wave velocity V of the cable of model I in environment i can be calculated. I_i , and experiments are conducted in these n environments respectively. The traveling wave velocities of the cable of model I in the n environments can be calculated as {V I_1 , V I_2 , …, V I_3}. Calculate the interference degree β of environment i on the traveling wave velocity in the cable of model I: I_i :

[0065] β I_i = V I_i - V I ;

[0066] where i = 1, 2, …, n, and substitute them one by one into {I = 1, 2, …, N} to calculate the interference degrees of environment i on the traveling wave velocities in the N types of cables as {β 1_i , β 2_i , …, β N_i}. Store the calculated data information in the database to establish a database of the velocities of traveling waves in cables with different materials, providing guarantee for the subsequent fault location analysis;

[0067] In step S3, when the cable fault traveling waves are received at both ends of any faulty cable, the system marks one end of the cable as the a-end and the other end as the b-end. The time point when the a-end of the faulty cable receives the traveling wave signal is t a , and the time point when the b-end of the cable receives the traveling wave signal is t b . The system searches from the database and knows that the model of the faulty cable is I, the length of the cable is L, the traveling wave velocity in the i-th environment is V I_i , and the relative error when the traveling wave signals are received at both ends of the cable is α. The ideal position of the cable fault refers to: when the cable laying environment is completely regarded as the reference environment, the position at a distance L a from the a-end of the cable. Calculate L a :

[0068]

[0069] Consider the relative error α of receiving the traveling wave signal and calculate the ideal range of the cable fault. The ideal range of the cable fault refers to: when considering the relative error α, the set of distances of the cable fault position from the a-end of the cable (L a - 0.5m, L a + 0.5m). Calculate the fluctuation length m of the ideal range of the cable fault:

[0070]

[0071] The system retrieves cable information from the database. The length of the faulty cable from the ideal position of the cable fault to the cable end a in the laying environment i is L. a_i , one by one, the distance from the cable a end in n environments is {L a_1 ,L a_2 ,…,L a_n}, the distances from the cable end b in n environments are {L b_1 ,L b_2 ,…,L b_n}, considering the cable laying environment to calculate the actual range of cable faults (L a -0.5m-0.5M, L a +0.5m+0.5M), calculate the fluctuation length M of the actual range of cable fault affected by environmental interference:

[0072]

[0073] Taking into account that the actual range of cable faults is affected by relative errors and environmental interference, the error caused by interference is reduced while judging the cable fault location, providing users with a more accurate actual range of cable faults.

[0074] In step S4, the system compares the actual scope of the cable fault with the cable laying environment stored in the database, prompts the user of the faulty cable, and indicates the actual scope of the cable fault and the corresponding environment in the pipeline diagram for the user, thereby reducing the time for the user to go back and forth to confirm the fault environment and reducing the workload of manual work.

[0075] Embodiment 1: When the system detects that both ends of the faulty cable receive the cable fault traveling wave, the system marks one end of the cable as end a and the other end as end b. The time point at which the faulty cable end a receives the traveling wave signal is t a The time point when the cable end b receives the traveling wave signal is t b , we can calculate t a -t b =1, the system searches the database and finds that the faulty cable model is I, the cable length is 2000, the speed of the traveling wave is 400 in the reference environment, and the relative error when the two ends of the cable receive the traveling wave signal is 20. The ideal position of the cable fault is analyzed, that is, when the cable laying environment is completely regarded as the reference environment, the distance L from the cable end a is a The position of L a :

[0076]

[0077] Calculate the ideal range of cable faults considering the relative error α of the received traveling wave signal. The ideal range of cable faults refers to the set of distances from the cable fault location to the a - end of the cable (1200.5 - 0.5m, 1200.5 + 0.5m) when considering the relative error α. Call the database information α = 2, V I = 500, and calculate the fluctuation length m of the ideal range of cable faults:

[0078]

[0079] The system retrieves cable information from the database. For the faulty cable, among the distances from the ideal cable fault position to the a - end of the cable, the total length with laying environment i is L a_i , and retrieve one by one. Among the n laying environments, the lengths from the a - end of the cable are {L a_1 , L a_2 , …, L a_n}, and the lengths from the b - end of the cable among the n laying environments are {L b_1 , L b_2 , …, L b_n}. Calculate the actual range of cable faults (1196.5 - 0.5M, 1204.5 + 0.5M) considering the cable laying environment, and calculate the fluctuation length M of the actual range of cable faults affected by environmental interference:

[0080]

[0081] Substitute the data in the database to calculate M = 20. Considering that the actual range of cable faults is affected by relative error and environmental interference, while judging the cable fault position, reduce the error caused by interference, and provide a more accurate actual range of cable faults for users, that is, the actual range of cable faults (1186.5, 1214.5);

[0082] The system compares the actual range of cable faults with the cable laying environments stored in the database. While prompting the faulty cable for the user, mark the actual range of cable faults and the corresponding environment in the pipeline diagram for the user, reducing the time for the user to confirm the fault environment back and forth, reducing the workload of manual operation and the uncertainty brought by manual operation. Considering that the traveling wave speed is affected by the laying environment, consider the laying environment interference while calculating the cable fault position, and provide a more accurate actual range of cable faults for users.

[0083] It is obvious to those skilled in the art that the present invention is not limited to the details of the above-described exemplary embodiments, and that the present invention can be implemented in other specific forms without departing from the spirit or essential characteristics of the present invention. Therefore, in any respect, the embodiments should be regarded as exemplary and non-limiting. The scope of the present invention is defined by the appended claims rather than the above description. Thus, all changes that fall within the meaning and scope of the equivalent elements of the claims are intended to be embraced within the present invention. Any reference signs in the claims should not be construed as limiting the claims involved.

Claims

1. A traveling wave fault location method based on artificial intelligence optimization, characterized by: The following steps are involved: S1: Determine the reference environment, simulate the fault traveling wave at the midpoint of any type of cable, calculate the ideal traveling wave velocity of the traveling wave in any type of cable in the reference environment, and calculate the relative error when the traveling wave signal is received at both ends of any type of cable; S2: Conduct experiments on any type of cable in any environment, compare the environmental traveling wave velocity with the ideal traveling wave velocity, and analyze the degree of interference of any environment on the traveling wave velocity of any type of cable; S3: When a cable fault traveling wave is received at either end of the cable, the information in the database is called to analyze the ideal position of the cable fault, the ideal range of the cable fault is calculated considering the relative error of the time of receiving the traveling wave signal, and the actual range of the cable fault is calculated considering the cable laying environment; S4: Analyze the actual scope of the cable fault, call the cable laying environment from the database, and prompt the customer the cable fault location environment; In step S1, the system selects any environment as the reference environment and conducts an experiment on a cable of model I and length S. The time required for the cable end a to receive the traveling wave for the first P times is {T a_1 ,T a_2 ,…,T a_P }, the time required for the cable end b to receive the traveling wave for the first P times is {T b_1 ,T b_2 ,…,T b_P }, calculate the ideal traveling wave velocity V of the traveling wave in type I cable I : ； Where I=1,2,…,N, I represents the Ith cable model among the N cable models in the system experiment, and the relative error α when the two ends of the cable with a length of S receive the traveling wave signal for the Qth time is analyzed. Q : ； Where Q = 1, 2, ..., P, when Q = 1, define T a_0 =0, T b_0 =0, calculate and compare {α1,α2,…,α P }, the relative error when the two ends of the cable receive the traveling wave signal is α=max(α1,α2,…,α P ), and store the calculated data information into the database.

2. The traveling wave fault location method based on artificial intelligence optimization according to claim 1 is characterized in that: In step S2, an experiment is conducted on a cable of model I and length S. There are n environments in which users use the cable. The cable is laid in the i-th environment, and a fault traveling wave is simulated at the midpoint of the cable. The traveling wave velocity V of the cable of model I in environment i is calculated. I_i , respectively, in these n environments, the environmental traveling wave velocity {V I_1 ,V I_2 ,…,V I_3 }, calculate the interference degree of environment i on the traveling wave velocity in cable type I, β I_i : ； Where i=1,2,…,n, one by one, substitute {I=1,2,…,N}, and calculate the interference degree of environment i on the traveling wave velocity in N types of cables respectively {β 1_i ,β 2_i ,…,β N_i }, and store the calculated data information into the database.

3. The traveling wave fault location method based on artificial intelligence optimization according to claim 2 is characterized in that: In step S3, when the cable fault traveling wave is received at both ends of any faulty cable, the system marks one end of the cable as end a and the other end as end b. The time point at which the faulty cable end a receives the traveling wave signal is t a The time point when the cable end b receives the traveling wave signal is t b The system searches the database and finds that the faulty cable model is I, the cable length is L, and the speed of the traveling wave in the i-th environment is V I_i , the relative error when the two ends of the cable receive the traveling wave signal is α, and the ideal position of the cable fault refers to: when the cable laying environment is completely regarded as the reference environment, the distance L from the cable end a a The position of L a : ； Considering the relative error α of the received traveling wave signal, the ideal range of cable fault is calculated. The ideal range of cable fault refers to: when considering the relative error α, the set of distances between the cable fault position and the cable end a (L a -0.5m, L a +0.5m), calculate the fluctuation length m of the ideal range of cable fault: ； The system retrieves cable information from the database. The length of the faulty cable from the ideal position of the cable fault to the cable end a in the laying environment i is L. a_i , one by one, the distance from the cable a end in n environments is {L a_1 ,L a_2 ,…,L a_n }, the distances from the cable end b in n environments are {L b_1 ,L b_2 ,…,L b_n }, considering the cable laying environment to calculate the actual range of cable faults (L a -0.5m-0.5M, L a +0.5m+0.5M), calculate the fluctuation length M of the actual range of cable fault affected by environmental interference: 。 4. The traveling wave fault location method based on artificial intelligence optimization according to claim 3 is characterized in that: In step S4, the system compares the actual scope of the cable fault with the cable laying environment stored in the database, and prompts the user of the faulty cable while marking the actual scope of the cable fault and the corresponding environment in the pipeline diagram for the user.

5. A traveling wave fault location system based on artificial intelligence optimization, the system being applied to the traveling wave fault location method based on artificial intelligence optimization according to any one of claims 1 to 4, characterized in that: The system comprises: a clock accuracy analysis module, a laying environment analysis module, a database, a fault location analysis module and a user module; The clock accuracy analysis module is used to analyze the ideal traveling wave speed in cables of different types, and to analyze the relative error of the time when the traveling wave signal is received at both ends of the cable; Analyze the interference of the traveling wave velocity in different environments by using the installation environment analysis module; The actual cable laying environment of any cable is stored in the database; When the cable fault traveling wave is received at both ends of the cable by the fault location analysis module, the actual range of the cable fault is analyzed; The user module displays the actual scope of the cable fault and the cable fault environment analyzed by the system to the user.

6. The traveling wave fault location system based on artificial intelligence optimization according to claim 5 is characterized in that: The clock accuracy analysis module simulates a fault traveling wave at the midpoint of any type of cable, calculates the ideal traveling wave speed through the time required for receiving the traveling wave at both ends of the cable, and analyzes the relative error of the received traveling wave signal through the time difference required for receiving the traveling wave at both ends of the cable.

7. The traveling wave fault location system based on artificial intelligence optimization according to claim 5 is characterized in that: The laying environment analysis module simulates fault traveling waves for any type of cable in any environment, calculates the environmental traveling wave speed, compares the environmental traveling wave speed with the ideal traveling wave speed, and analyzes the interference degree of any environment on the traveling wave speed.

8. The traveling wave fault location system based on artificial intelligence optimization according to claim 5 is characterized in that: The database stores the cable laying environment, which refers to the environment where any part of any cable is located. When any cable laying environment changes, the staff updates the database.

9. The traveling wave fault location system based on artificial intelligence optimization according to claim 5 is characterized in that: The fault location analysis module determines the ideal location of the cable fault based on the cable material and the time when the traveling wave is first received at both ends of the cable, calculates the ideal range of the cable fault considering the relative error of the received traveling wave signal, and calculates the actual range of the cable fault considering the cable laying environment.

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