Contact conductance determination method and device based on wire tree contact fault, terminal equipment and storage medium

Abstract

The invention discloses a contact conductance determination method and device based on a wire contact tree fault, terminal equipment and a storage medium, and the method comprises the steps: inputting a voltage value at two ends of a target arc and a current value flowing through the target arc into a preset arc regression model; the arc regression model calculates the target length of the target arc according to the voltage value and the current value; and according to the target length of the target arc, the length of the touched trunk and the resistance value of the touched trunk, calculating to obtain the conductivity value of a conductive channel between the target arc and the touched trunk. By implementing the method and the device, the length of the target arc can be quickly obtained, and the conductivity value of the conductive channel between the target arc and the touched trunk is determined based on the length of the target arc, so that the conductive channel formed between the target arc and the touched trunk can be analyzed, and the fault occurrence condition can be effectively evaluated.

Description

Technical Field

[0001] The present invention relates to the field of wire fault detection, and in particular to a contact conductance determination method, device, terminal equipment and storage medium based on a wire contact tree fault. Background Art

[0002] In the power system, the wire-to-tree fault refers to a fault caused by the overlap of the overhead wire and the bark due to tree growth or wire sagging. It is one of the main fault types of overhead lines in the distribution network. Arc discharge occurs between the wire and the tree trunk. This arc discharge may not only cause fire or equipment damage, but also pose a threat to the stable operation of the power system. Therefore, the monitoring and analysis of arc discharge becomes particularly important. Traditional arc discharge monitoring methods mainly rely on current and voltage waveform analysis, but these methods often have difficulty in analyzing the conductive channel formed between the arc and the touched tree trunk, making troubleshooting difficult. Summary of the invention

[0003] The present invention provides a contact conductance determination method, device, terminal equipment and storage medium based on a wire touching a tree fault. The method obtains a target length of the target arc by inputting voltage values ​​at both ends of the target arc and a current value flowing through the target arc into an arc regression model, and then obtains the conductance value of a conductive channel between the target arc and the touched tree trunk based on the target length of the target arc. By quickly determining the conductance value of the conductive channel and evaluating the impact of the arc on the tree trunk, corresponding safety measures can be taken in time to prevent major accidents caused by arc discharge.

[0004] An embodiment of the present invention provides a method for determining contact conductance based on a wire tree fault, comprising:

[0005] Collecting voltage values ​​at both ends of the target arc, current value flowing through the target arc, length of the touched tree trunk, and resistance value of the touched tree trunk;

[0006] Inputting the voltage value and the current value into a preset arc regression model, so that the arc regression model calculates the target length of the target arc according to the voltage value and the current value; wherein the arc regression model is obtained by fitting data through a number of sampled voltage values ​​at both ends of the experimental arc, a number of sampled current values ​​flowing through the experimental arc, and a number of actual lengths of the experimental arc;

[0007] Determining the resistance value of the conductive path between the target electric arc and the touched tree trunk according to the target length of the target electric arc, the length of the touched tree trunk, and the resistance value of the touched tree trunk;

[0008] The conductance value of the conductive path between the target arc and the touched tree trunk is determined according to the resistance value.

[0009] Furthermore, the fitting process of the arc regression model includes:

[0010] Acquire an experimental arc sample set; wherein the experimental arc sample set includes: a number of sampled voltage values ​​at both ends of the experimental arc, a number of sampled current values ​​flowing through the experimental arc, and a number of actual lengths of the experimental arc;

[0011] An Ayrton arc model is constructed, and the electrode voltage drop coefficient, voltage gradient coefficient, power correction coefficient and unit arc length power coefficient in the Ayrton arc model are randomly initialized;

[0012] According to a preset regression algorithm and the experimental arc sample set, the electrode voltage drop coefficient, the voltage gradient coefficient, the power correction coefficient and the unit arc length power coefficient in the Ayrton arc model are adjusted until the data are fitted to obtain the Ayrton arc model after data fitting;

[0013] The Ayrton arc model after fitting the data is used as the arc regression model.

[0014] Furthermore, the arc regression model is specifically:

[0015]

[0016] In the formula, A represents the electrode voltage drop coefficient; B represents the voltage gradient coefficient; C represents the power correction coefficient; D represents the power coefficient per unit arc length; L(n) represents the length of the arc; U(n) represents the voltage value at both ends of the arc; I(n) represents the current value flowing through the arc.

[0017] Further, determining the resistance value of the conductive path between the target electric arc and the touched tree trunk according to the target length of the target electric arc, the length of the touched tree trunk, and the resistance value of the touched tree trunk comprises:

[0018] Subtracting the target length of the target arc from the length of the touched tree trunk to obtain a first length;

[0019] Calculating a ratio of the first length to the length of the touched tree trunk to determine a first ratio;

[0020] The first ratio is multiplied by the resistance value of the touched tree trunk to obtain the resistance value of the conductive channel between the target arc and the touched tree trunk.

[0021] An embodiment of the present invention further provides a contact conductance determination device based on a wire contact tree fault, comprising: a data acquisition module, an arc length calculation module, a conductive channel resistance value determination module, and a conductive channel conductance value determination module;

[0022] The data acquisition module is used to collect the voltage value at both ends of the target arc, the current value flowing through the target arc, the length of the touched tree trunk, and the resistance value of the touched tree trunk;

[0023] The arc length calculation module is used to input the voltage value and the current value into a preset arc regression model, so that the arc regression model calculates the target length of the target arc according to the voltage value and the current value; wherein the arc regression model is obtained by data fitting through a number of sampled voltage values ​​at both ends of the experimental arc, a number of sampled current values ​​flowing through the experimental arc, and a number of actual lengths of the experimental arc;

[0024] The conductive channel resistance value determination module is used to determine the resistance value of the conductive channel between the target electric arc and the touched tree trunk according to the target length of the target electric arc, the length of the touched tree trunk and the resistance value of the touched tree trunk;

[0025] The conductive channel conductance value determination module is used to determine the conductance value of the conductive channel between the target arc and the touched tree trunk according to the resistance value.

[0026] Furthermore, the fitting process of the arc regression model includes:

[0027] Acquire an experimental arc sample set; wherein the experimental arc sample set includes: a number of sampled voltage values ​​at both ends of the experimental arc, a number of sampled current values ​​flowing through the experimental arc, and a number of actual lengths of the experimental arc;

[0028] An Ayrton arc model is constructed, and the electrode voltage drop coefficient, voltage gradient coefficient, power correction coefficient and unit arc length power coefficient in the Ayrton arc model are randomly initialized;

[0029] According to a preset regression algorithm and the experimental arc sample set, the electrode voltage drop coefficient, the voltage gradient coefficient, the power correction coefficient and the unit arc length power coefficient in the Ayrton arc model are adjusted until the data are fitted to obtain the Ayrton arc model after data fitting;

[0030] The Ayrton arc model after fitting the data is used as the arc regression model.

[0031] Furthermore, the arc regression model is specifically:

[0032]

[0033] In the formula, A represents the electrode voltage drop coefficient; B represents the voltage gradient coefficient; C represents the power correction coefficient; D represents the power coefficient per unit arc length; L(n) represents the length of the arc; U(n) represents the voltage value at both ends of the arc; I(n) represents the current value flowing through the arc.

[0034] Further, determining the resistance value of the conductive path between the target electric arc and the touched tree trunk according to the target length of the target electric arc, the length of the touched tree trunk, and the resistance value of the touched tree trunk comprises:

[0035] Subtracting the target length of the target arc from the length of the touched tree trunk to obtain a first length;

[0036] Calculating a ratio of the first length to the length of the touched tree trunk to determine a first ratio;

[0037] The first ratio is multiplied by the resistance value of the touched tree trunk to obtain the resistance value of the conductive channel between the target arc and the touched tree trunk.

[0038] The present application also provides a terminal device, including:

[0039] one or more processors;

[0040] A memory, coupled to the processor, for storing one or more programs;

[0041] When the one or more programs are executed by the one or more processors, the one or more processors implement the contact conductance determination method based on a wire tree contact fault as described in the above-mentioned embodiment of the invention.

[0042] The present application also provides a computer-readable storage medium having a computer program stored thereon. When the computer program is executed by a processor, the contact conductance determination method based on a wire tree contact fault as described in the above-mentioned embodiment of the invention is implemented.

[0043] The following beneficial effects are achieved by implementing the present invention:

[0044] The present invention provides a contact conductance determination method, device, terminal equipment and storage medium based on a wire touching a tree fault. The method first collects voltage values ​​at both ends of a target arc, a current value flowing through the target arc, the length of a touched tree trunk and a resistance value of the touched tree trunk; then the voltage value and the current value are input into a preset arc regression model, so that the arc regression model calculates the target length of the target arc according to the voltage value and the current value; then the conductance value of a conductive path between the target arc and the touched tree trunk is determined according to the target length of the target arc, the length of the touched tree trunk and the resistance value of the touched tree trunk; thus, the length of the target arc is determined by the arc regression model, so that the conductance value of the conductive path between the target arc and the touched tree trunk can be determined according to the length of the target arc, which helps to analyze the conductive path formed between the target arc and the touched tree trunk and effectively evaluate the occurrence of the fault. BRIEF DESCRIPTION OF THE DRAWINGS

[0045] In order to more clearly illustrate the technical solution of the present application, the drawings required for use in the implementation manner will be briefly introduced below. Obviously, the drawings described below are only some implementation manners of the present application. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying any creative work.

[0046] Figure 1 It is a flowchart of a method for determining contact conductance based on a wire tree contact fault provided by a certain embodiment of the present application;

[0047] Figure 2 It is a structural schematic diagram of a contact conductance determination device based on a wire tree contact fault provided by a certain embodiment of the present application;

[0048] Figure 3 It is a structural diagram of a terminal device provided in a certain embodiment of the present application. DETAILED DESCRIPTION

[0049] In order to make the purpose, technical solutions and advantages of this application clearer, the technical solutions in this application will be clearly and completely described below in conjunction with the drawings in the embodiments of this application. Obviously, the described embodiments are part of the embodiments of this application, not all of them. Based on the embodiments in this application, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of this application.

[0050] Unless otherwise defined, all technical and scientific terms used herein have the same meaning as commonly understood by technicians in the technical field to which this application belongs; the terms used herein are only for the purpose of describing specific embodiments and are not intended to limit this application; the terms "including" and "having" in the specification and claims of this application and the above-mentioned figure descriptions and any variations thereof are intended to cover non-exclusive inclusions.

[0051] In the description of the embodiments of the present application, the technical terms "first", "second", etc. are only used to distinguish different objects, and cannot be understood as indicating or implying relative importance or implicitly indicating the number, specific order or primary and secondary relationship of the indicated technical features. In the description of the embodiments of the present application, the meaning of "multiple" is more than two, unless otherwise clearly and specifically defined.

[0052] Reference to "embodiments" herein means that a particular feature, structure, or characteristic described in conjunction with the embodiments may be included in at least one embodiment of the present application. The appearance of the phrase in various locations in the specification does not necessarily refer to the same embodiment, nor is it an independent or alternative embodiment that is mutually exclusive with other embodiments. It is explicitly and implicitly understood by those skilled in the art that the embodiments described herein may be combined with other embodiments.

[0053] In the description of the embodiments of the present application, the term "and / or" is only a description of the association relationship of the associated objects, indicating that there may be three relationships. For example, A and / or B can represent: A exists alone, A and B exist at the same time, and B exists alone. In addition, the character " / " in this article generally indicates that the associated objects before and after are in an "or" relationship.

[0054] In the description of the embodiments of the present application, the term "multiple" refers to more than two (including two). Similarly, "multiple groups" refers to more than two groups (including two groups), and "multiple pieces" refers to more than two pieces (including two pieces).

[0055] In the description of the embodiments of the present application, unless otherwise clearly specified and limited, technical terms such as "installed", "connected", "connected", "fixed" and the like should be understood in a broad sense. For example, it can be a fixed connection, a detachable connection, or an integral connection; it can be a mechanical connection or an electrical connection; it can be a direct connection or an indirect connection through an intermediate medium, and it can be the internal connection of two elements or the interaction relationship between two elements. For those of ordinary skill in the art, the specific meanings of the above terms in the embodiments of the present application can be understood according to the specific circumstances.

[0056] See also Figure 1 , is a flow chart of a method for determining contact conductance based on a wire contact tree fault provided by an embodiment of the present invention, comprising:

[0057] S1, collecting the voltage value at both ends of the target arc, the current value flowing through the target arc, the length of the touched tree trunk, and the resistance value of the touched tree trunk;

[0058] Specifically, assume that the voltage value at both ends of the target arc is U(n), the current value flowing through the arc is I(n), the length of the touched tree trunk is h, and the resistance value of the touched tree trunk is R V ;

[0059] It should be noted that the resistance value of the touched tree trunk refers to the resistance of the tree trunk itself under normal conditions, that is, the resistance of the entire tree trunk when it is not affected by factors such as temperature and water content and when there is no electric arc.

[0060] S2. Inputting the voltage value and the current value into a preset arc regression model, so that the arc regression model calculates the target length of the target arc according to the voltage value and the current value; wherein the arc regression model is obtained by fitting data through sampled voltage values ​​at both ends of a number of experimental arcs, a number of sampled current values ​​flowing through the experimental arcs, and a number of actual lengths of the experimental arcs;

[0061] In a preferred embodiment, the fitting process of the arc regression model includes:

[0062] Acquire an experimental arc sample set; wherein the experimental arc sample set includes: a number of sampled voltage values ​​at both ends of the experimental arc, a number of sampled current values ​​flowing through the experimental arc, and a number of actual lengths of the experimental arc;

[0063] An Ayrton arc model is constructed, and the electrode voltage drop coefficient, voltage gradient coefficient, power correction coefficient and unit arc length power coefficient in the Ayrton arc model are randomly initialized;

[0064] According to a preset regression algorithm and the experimental arc sample set, the electrode voltage drop coefficient, the voltage gradient coefficient, the power correction coefficient and the unit arc length power coefficient in the Ayrton arc model are adjusted until the data are fitted to obtain the Ayrton arc model after data fitting;

[0065] The Ayrton arc model after the data fitting is used as the arc regression model;

[0066] It should be noted that the Ayrton arc model is a mathematical model for describing arc characteristics, which was proposed by British physicist William Ayrton and others. Therefore, the detailed construction process of the Ayrton arc model will not be described in detail.

[0067] Specifically, when fitting the Ayrton arc model, the electrode voltage drop coefficient, voltage gradient coefficient, power correction coefficient and unit arc length power coefficient in the Ayrton arc model are first randomly initialized, and these initial values ​​will be adjusted in the subsequent data fitting process;

[0068] Then, the experimental arc sample set is input into the Ayrton arc model, and the electrode voltage drop coefficient, voltage gradient coefficient, power correction coefficient and unit arc length power coefficient in the Ayrton arc model are continuously adjusted using a preset regression algorithm until the data reaches a preset fitting accuracy, and the adjustment is stopped to obtain the Ayrton arc model after the data is fitted, and the Ayrton arc model after the data is fitted is used as the arc regression model;

[0069] In a preferred embodiment, the arc regression model is specifically:

[0070]

[0071] In the formula, A represents the electrode voltage drop coefficient; B represents the voltage gradient coefficient; C represents the power correction coefficient; D represents the power coefficient per unit arc length; L(n) represents the length of the arc; U(n) represents the voltage value at both ends of the arc; I(n) represents the current value flowing through the arc;

[0072] It should be noted that the electrode voltage drop coefficient A, voltage gradient coefficient B, power correction coefficient C and unit arc length power coefficient D in formula (1) are all constant values, and have been determined after data fitting based on the experimental arc sample set;

[0073] Specifically, the voltage value U(n) at both ends of the target arc and the current value I(n) flowing through the arc are input into the arc regression model, so that the arc regression model calculates the target length L(n) of the target arc based on the voltage value and the current value.

[0074] S3, determining the resistance value of the conductive path between the target electric arc and the touched tree trunk according to the target length of the target electric arc, the length of the touched tree trunk and the resistance value of the touched tree trunk;

[0075] In a preferred embodiment, determining the resistance value of the conductive path between the target electric arc and the touched tree trunk according to the target length of the target electric arc, the length of the touched tree trunk, and the resistance value of the touched tree trunk comprises:

[0076] Subtracting the target length of the target arc from the length of the touched tree trunk to obtain a first length;

[0077] Calculating a ratio of the first length to the length of the touched tree trunk to determine a first ratio;

[0078] Multiplying the first ratio by the resistance value of the touched tree trunk to obtain the resistance value of the conductive path between the target arc and the touched tree trunk;

[0079] Specifically, after the target length L(n) of the target arc is calculated, the resistance value of the conductive path between the target arc and the touched tree trunk is calculated by the following formula. The specific formula is as follows:

[0080]

[0081] Where h is the length of the touched tree trunk; R V represents the resistance value of the touched tree trunk; R(n) represents the resistance value of the conductive path;

[0082] It should be noted that the conductive path refers to the arc-the part of the touched tree trunk that is not short-circuited-ground. Because the arc resistance is very small, the resistance of the part of the tree trunk connected in parallel with the arc can be ignored, so the resistance value of the conductive path is approximately equal to the resistance value of the part of the tree trunk that is not short-circuited by the arc.

[0083] S4. determining the conductance value of the conductive path between the target arc and the touched tree trunk according to the resistance value;

[0084] Specifically, after solving the resistance value R(n) of the conductive channel, the conductance value G(n) of the conductive channel between the target electric arc and the touched tree trunk is determined, and then the fault condition of the conductive channel between the target electric arc and the touched tree trunk is determined based on the conductance value G(n) of the conductive channel between the target electric arc and the touched tree trunk.

[0085] See also Figure 2 , is a contact conductance determination device based on a wire contact tree fault provided by an embodiment of the present invention, comprising: a data acquisition module, an arc length calculation module, a conductive channel resistance value determination module and a conductive channel conductance value determination module;

[0086] The data acquisition module is used to collect the voltage value at both ends of the target arc, the current value flowing through the target arc, the length of the touched tree trunk, and the resistance value of the touched tree trunk;

[0087] The arc length calculation module is used to input the voltage value and the current value into a preset arc regression model, so that the arc regression model calculates the target length of the target arc according to the voltage value and the current value; wherein the arc regression model is obtained by data fitting through a number of sampled voltage values ​​at both ends of the experimental arc, a number of sampled current values ​​flowing through the experimental arc, and a number of actual lengths of the experimental arc;

[0088] The conductive channel resistance value determination module is used to determine the resistance value of the conductive channel between the target electric arc and the touched tree trunk according to the target length of the target electric arc, the length of the touched tree trunk and the resistance value of the touched tree trunk;

[0089] The conductive channel conductance value determination module is used to determine the conductance value of the conductive channel between the target arc and the touched tree trunk according to the resistance value.

[0090] See also Figure 3 , a certain embodiment of the present application further provides a terminal device, including:

[0091] one or more processors;

[0092] A memory, coupled to the processor, for storing one or more programs;

[0093] When the one or more programs are executed by the one or more processors, the one or more processors implement the contact conductance determination method based on a wire tree fault as described above.

[0094] The processor is used to control the overall operation of the terminal device to complete all or part of the steps of the contact conductance determination method based on the wire contact tree fault. The memory is used to store various types of data to support the operation of the terminal device, and these data may include, for example, instructions for any application or method used to operate on the terminal device, and data related to the application. The memory can be implemented by any type of volatile or non-volatile storage device or a combination thereof, such as static random access memory (Static Random Access Memory, referred to as SRAM), electrically erasable programmable read-only memory (Electrically Erasable Programmable Read-Only Memory, referred to as EEPROM), erasable programmable read-only memory (Erasable Programmable Read-Only Memory, referred to as EPROM), programmable read-only memory (Programmable Read-Only Memory, referred to as PROM), read-only memory (Read-Only Memory, referred to as ROM), magnetic memory, flash memory, magnetic disk or optical disk.

[0095] In an exemplary embodiment, the terminal device can be implemented by one or more application specific integrated circuits (ASIC), digital signal processors (DSP), digital signal processing devices (DSPD), programmable logic devices (PLD), field programmable gate arrays (FPGA), controllers, microcontrollers, microprocessors or other electronic components, and is used to execute the contact conductance determination method based on wire contact tree fault as described in any of the above embodiments, and achieve the technical effect consistent with the above method.

[0096] In another exemplary embodiment, a computer-readable storage medium including a computer program is further provided, and when the computer program is executed by a processor, the steps of the contact conductance determination method based on a wire touching a tree fault as described in any of the above embodiments are implemented. For example, the computer-readable storage medium may be the above-mentioned memory including the computer program, and the above-mentioned computer program may be executed by a processor of a terminal device to complete the contact conductance determination method based on a wire touching a tree fault as described in any of the above embodiments, and achieve the technical effect consistent with the above-mentioned method.

[0097] The above is a preferred embodiment of the present invention. It should be pointed out that a person skilled in the art can make several improvements and modifications without departing from the principle of the present invention. These improvements and modifications are also considered to be within the scope of protection of the present invention.

Claims

1. A method for determining contact conductance based on a wire contact tree fault, characterized in that: include: Collecting voltage values ​​at both ends of the target arc, current value flowing through the target arc, length of the touched tree trunk, and resistance value of the touched tree trunk; Inputting the voltage value and the current value into a preset arc regression model, so that the arc regression model calculates the target length of the target arc according to the voltage value and the current value; wherein the arc regression model is obtained by fitting data through a number of sampled voltage values ​​at both ends of the experimental arc, a number of sampled current values ​​flowing through the experimental arc, and a number of actual lengths of the experimental arc; Determining the resistance value of the conductive path between the target electric arc and the touched tree trunk according to the target length of the target electric arc, the length of the touched tree trunk, and the resistance value of the touched tree trunk; The conductance value of the conductive path between the target arc and the touched tree trunk is determined according to the resistance value.

2. The contact conductance determination method based on a wire tree fault according to claim 1, characterized in that: The fitting process of the arc regression model includes: Acquire an experimental arc sample set; wherein the experimental arc sample set includes: a number of sampled voltage values ​​at both ends of the experimental arc, a number of sampled current values ​​flowing through the experimental arc, and a number of actual lengths of the experimental arc; An Ayrton arc model is constructed, and the electrode voltage drop coefficient, voltage gradient coefficient, power correction coefficient and unit arc length power coefficient in the Ayrton arc model are randomly initialized; According to a preset regression algorithm and the experimental arc sample set, the electrode voltage drop coefficient, the voltage gradient coefficient, the power correction coefficient and the unit arc length power coefficient in the Ayrton arc model are adjusted until the data are fitted to obtain the Ayrton arc model after data fitting; The Ayrton arc model after fitting the data is used as the arc regression model.

3. The contact conductance determination method based on a wire tree fault according to claim 2, characterized in that: The arc regression model is specifically: In the formula, A represents the electrode voltage drop coefficient; B represents the voltage gradient coefficient; C represents the power correction coefficient; D represents the power coefficient per unit arc length; L(n) represents the length of the arc; U(n) represents the voltage value at both ends of the arc; I(n) represents the value of the current flowing through the arc.

4. The contact conductance determination method based on a wire tree fault according to claim 1, characterized in that: The step of determining the resistance value of the conductive path between the target electric arc and the touched tree trunk according to the target length of the target electric arc, the length of the touched tree trunk, and the resistance value of the touched tree trunk comprises: Subtracting the target length of the target arc from the length of the touched tree trunk to obtain a first length; Calculating a ratio of the first length to the length of the touched tree trunk to determine a first ratio; The first ratio is multiplied by the resistance value of the touched tree trunk to obtain the resistance value of the conductive channel between the target arc and the touched tree trunk.

5. A contact conductance determination device based on a wire contact tree fault, characterized in that: include: A data acquisition module, an arc length calculation module, a conductive channel resistance value determination module, and a conductive channel conductance value determination module; The data acquisition module is used to collect the voltage value at both ends of the target arc, the current value flowing through the target arc, the length of the touched tree trunk, and the resistance value of the touched tree trunk; The arc length calculation module is used to input the voltage value and the current value into a preset arc regression model, so that the arc regression model calculates the target length of the target arc according to the voltage value and the current value; wherein the arc regression model is obtained by data fitting through a number of sampled voltage values ​​at both ends of the experimental arc, a number of sampled current values ​​flowing through the experimental arc, and a number of actual lengths of the experimental arc; The conductive channel resistance value determination module is used to determine the resistance value of the conductive channel between the target electric arc and the touched tree trunk according to the target length of the target electric arc, the length of the touched tree trunk and the resistance value of the touched tree trunk; The conductive channel conductance value determination module is used to determine the conductance value of the conductive channel between the target arc and the touched tree trunk according to the resistance value.

6. The contact conductance determination device based on a wire tree fault according to claim 5, characterized in that: The fitting process of the arc regression model includes: Acquire an experimental arc sample set; wherein the experimental arc sample set includes: a number of sampled voltage values ​​at both ends of the experimental arc, a number of sampled current values ​​flowing through the experimental arc, and a number of actual lengths of the experimental arc; An Ayrton arc model is constructed, and the electrode voltage drop coefficient, voltage gradient coefficient, power correction coefficient and unit arc length power coefficient in the Ayrton arc model are randomly initialized; According to a preset regression algorithm and the experimental arc sample set, the electrode voltage drop coefficient, the voltage gradient coefficient, the power correction coefficient and the unit arc length power coefficient in the Ayrton arc model are adjusted until the data are fitted to obtain the Ayrton arc model after data fitting; The Ayrton arc model after fitting the data is used as the arc regression model.

7. The contact conductance determination device based on the wire tree fault according to claim 6, characterized in that: The arc regression model is specifically: In the formula, A represents the electrode voltage drop coefficient; B represents the voltage gradient coefficient; C represents the power correction coefficient; D represents the power coefficient per unit arc length; L(n) represents the length of the arc; U(n) represents the voltage value at both ends of the arc; I(n) represents the value of the current flowing through the arc.

8. The contact conductance determination device based on a wire tree fault according to claim 5, characterized in that: The step of determining the resistance value of the conductive path between the target electric arc and the touched tree trunk according to the target length of the target electric arc, the length of the touched tree trunk, and the resistance value of the touched tree trunk comprises: Subtracting the target length of the target arc from the length of the touched tree trunk to obtain a first length; Calculating a ratio of the first length to the length of the touched tree trunk to determine a first ratio; The first ratio is multiplied by the resistance value of the touched tree trunk to obtain the resistance value of the conductive channel between the target arc and the touched tree trunk.

9. A terminal device, characterized in that: include: one or more processors; A memory, coupled to the processor, for storing one or more programs; When the one or more programs are executed by the one or more processors, the one or more processors implement the contact conductance determination method based on a wire tree contact fault as described in any one of claims 1 to 4.

10. A storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, the contact conductance determination method based on a wire tree fault according to any one of claims 1 to 4 is implemented.

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