Power wire fault positioning system based on Internet of Things

Abstract

The invention belongs to the technical field of power conductor fault positioning, and particularly discloses and provides a power conductor fault positioning system based on the Internet of Things, which comprises the following steps of: deriving a dielectric constant around a corresponding conductor of a line by detecting the propagation condition of a traveling wave signal on a fulcrum line of a power conductor laying network; detecting the interference of the surrounding environment of the wire through sensor equipment, constructing an actual dielectric constant generated by the environmental influence, comparing and positioning the position of a branching point, and carrying out the line fault recognition; dividing a fault line and a compensation detection line by comparing the deviation direction of the external interference dielectric constant and the actual dielectric constant, and further correcting the position of a fault point of the fault line; dielectric constant compensation setting is carried out on the actual dielectric constant to which the compensation detection circuit with the smaller difference value range belongs by identifying the difference value range of the external interference dielectric constant and the actual dielectric constant; and carrying out detection mode re-planning on the compensation detection line with a relatively large difference value range.

Description

Technical Field

[0001] The present invention belongs to the technical field of power conductor fault location and relates to a power conductor fault location system based on the Internet of Things. Background Art

[0002] In modern power systems, the power conductor laying network is large-scale and complex. It undertakes the task of electric energy transmission and is a key infrastructure to ensure the normal operation of society. However, power conductors face many challenges during operation. Among them, the fault problem has a serious impact on the reliability and stability of power supply. Therefore, efficient and accurate power conductor fault location technology is crucial.

[0003] In the prior art, there are also some related solutions for power conductor fault location. For example, the patent with the Chinese patent publication number CN114689995A discloses a transmission line fault location method, which uses contact and non-contact devices for collaborative monitoring. The contact device collects the power frequency current, voltage and traveling wave waveforms of the conductor in real time, uploads data when a fault is triggered, and recalls the waveforms of the fault period stored by the non-contact device. The fault section is locked by combining power frequency parameters, and precise positioning is achieved by using the time difference of the traveling wave arriving at each monitoring point. Through the distributed data fusion and time sequence backtracking mechanism, the positioning accuracy and reliability in complex environments are improved.

[0004] Another patent with the Chinese patent publication number CN107219439B discloses a method, device and system for determining the fault location of a fault on a conductor of a power supply network. By using the first and second current and / or voltage values with time stamps at two conductor ends, the waveform of the traveling wave propagating along the conductor towards the conductor ends when a fault occurs is determined; and by determining the time difference of the traveling wave arriving at the two conductor ends, the fault location is determined according to the waveform of the traveling wave determined for the conductor ends.

[0005] Although the above solutions propose some solutions for power conductor fault location, there are still the following limitations: Specifically, 1. In the prior art, more often, the fault location is carried out by real-time detecting multiple power parameters at multiple monitoring points on all lines of the power conductor laying network. In a complex power network, a large number of branches and connection points make the detected data intricate, making the fault location more difficult and hard to trace and analyze.

[0006] 2. The prior art lacks fault location through a fusion method. The complexity of the external environment often causes fluctuations in interference signals. Different interference factors may cause the interference signals to deviate from the actual values to varying degrees, and these interference factors show variable characteristics at different locations, further increasing the difficulty of fault location. Summary of the Invention

[0007] In view of this, in order to solve the problems raised in the above-mentioned background technology, a power conductor fault location system based on the Internet of Things is proposed.

[0008] The object of the present invention can be achieved by the following technical solutions: The present invention provides a power conductor fault location system based on the Internet of Things, and the system includes: A traveling wave fault location module: used to obtain the branch lines of each fulcrum of the power conductor laying network, evenly arrange n monitoring points on the branch lines of each fulcrum of the power conductor laying network, identify each marked line and its bifurcation points within the synchronous time period, and number each marked line as , and obtain the dielectric constant around the corresponding conductors of each marked line, including the rated traveling wave dielectric constant , the actual dielectric constant , where n is a set constant.

[0009] A line environment data detection module: used to extract the bifurcated line segments of each marked line and detect the environmental interference dielectric constant and electromagnetic interference dielectric constant around the corresponding lines of each marked line.

[0010] A fault deviation correction and identification module: used to identify each fault line and each compensation detection line, and analyze the deviation distance of the bifurcation point of each fault line.

[0011] A positioning compensation detection module: used to identify the compensation detection methods of each compensation detection line and perform fault location compensation detection.

[0012] Compared with the prior art, the beneficial effects of the present invention are as follows: (1) By detecting the propagation of traveling wave signals on the branch lines of the power conductor laying network, the present invention deduces the dielectric constant around the corresponding conductors of the lines, and at the same time detects the environmental interference around the conductors through sensor devices to construct the actual dielectric constant generated by environmental influence. After comparing and positioning the bifurcation point, the line fault is identified at the bifurcation point, which increases the convenience of fault location.

[0013] (2) By comparing the deviation direction between the external interference dielectric constant and the actual dielectric constant, the present invention divides the fault lines and the compensation detection lines, and then corrects the position of the fault point of the fault line, which increases the accuracy of fault position identification.

[0014] (3) By identifying the difference range between the external interference dielectric constant and the actual dielectric constant, the present invention defines the compensation detection methods for the compensation detection lines, sets the dielectric constant compensation for the actual dielectric constant of the compensation detection lines with a smaller difference range, which can effectively correct the small deviation caused by external interference; for the compensation detection lines with a larger difference range, the detection method is re-planned, which can avoid the wrong results caused by severe interference. Description of the Drawings

[0015] To more clearly illustrate the technical solutions of the embodiments of the present invention, the following will briefly introduce the accompanying drawings required for the description of the embodiments. Obviously, the accompanying drawings in the following description are only some embodiments of the present invention. For those of ordinary skill in the art, without creative efforts, other accompanying drawings can be obtained based on these drawings.

[0016] Figure 1 It is a schematic diagram of the connection of the system modules of the present invention.

[0017] Figure 2 It is a schematic diagram of a signal curve showing the change of the signal propagation speed of the monitoring points on the fulcrum line of the present invention with the line distance.

[0018] Figure 3 It is a schematic diagram of the branch line segment of the marked line of the present invention.

[0019] Reference numerals in the drawings: 1, uniform and lossless fulcrum line; 2, the valley value of the signal curve to which the marked line belongs; 3, branch point; 4, the previous adjacent monitoring point to which the branch point belongs. Specific embodiments

[0020] The following will clearly and completely describe the technical solutions in the embodiments of the present invention with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only some embodiments of the present invention, rather than all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those of ordinary skill in the art without creative efforts belong to the scope of protection of the present invention.

[0021] Please refer to Figure 1 As shown, the present invention provides a power conductor fault location system based on the Internet of Things. The system includes: a traveling wave fault location module, a line environment data detection module, a fault deviation correction and identification module, and a location compensation detection module.

[0022] The traveling wave fault location module is connected to the line environment data detection module, the line environment data detection module is connected to the fault deviation correction and identification module, and the fault deviation correction and identification module is connected to the location compensation detection module.

[0023] The traveling wave fault location module is used to obtain each fulcrum line of the power conductor laying network, evenly arrange n monitoring points on each fulcrum line of the power conductor laying network, identify each marked line and its branch points within the synchronization time period, and number each marked line as , and obtain the relative permittivity of the medium around the corresponding conductors of each marked line, including the rated traveling wave relative permittivity , the actual relative permittivity , where n is a set constant.

[0024] Please refer to Figure 2As shown, in a preferred embodiment, the process of identifying each marked line and its divergence points during the synchronization period is as follows: By installing traveling wave sensors at one end of each fulcrum line, the propagation speeds of the traveling wave signals received at each monitoring point on each fulcrum line during the synchronization period are obtained, and a signal curve showing the variation of the signal propagation speed of the monitoring points on each fulcrum line with the line distance is constructed.

[0025] Extract the peak and valley values of the signal curves belonging to each fulcrum line, subtract them, and compare the result with a preset overrun difference. When the corresponding difference between the peak and valley values of the signal curve belonging to a certain fulcrum line is higher than the preset overrun difference, mark this fulcrum line as a marked line to obtain all the marked lines of the power conductor laying network.

[0026] Extract the signal curves belonging to each marked line from the signal curves belonging to each fulcrum line, and take the peak value of the signal curve belonging to each marked line as the rated value of the signal propagation speed of each marked line during the synchronization period and obtain the position of the monitoring point where the valley value of the signal curve belonging to each marked line is located, which is recorded as the divergence point of each marked line during the synchronization period.

[0027] Specifically, the traveling wave sensor obtains the traveling wave signals of the entire wire segment by being installed at one end of the line, and infers the signal transmission speeds at different monitoring point positions through the analysis of the traveling wave signals. For example, in a long-distance wire segment, three monitoring points A, B, and C are set. When the traveling wave signal passes through this wire segment, the signals collected by the sensor contain information about the traveling wave arriving at the three monitoring points A, B, and C at different times. By analyzing the time characteristics of the signals (such as the arrival time difference), the signal transmission speeds of the traveling wave between different monitoring points can be judged.

[0028] In addition, according to the traveling wave propagation theory, the propagation speed of the traveling wave signal in a uniform and lossless fulcrum line is relatively stable. When an abnormality occurs in the wire segment, the electrical parameters of the wire near the abnormal point change, which will cause the transmission speed of the traveling wave signal to change when passing through this area.

[0029] In a further preferred embodiment, the process of obtaining the relative permittivity of the medium around the corresponding wire of each marked line is as follows: 1) Obtain the relative magnetic permeability of the wire material preset for each marked line and obtain the propagation speed of the traveling wave signal determined by the permittivity and magnetic permeability of vacuum , and through the inverse formula of the traveling wave signal propagation speed , calculate the rated relative permittivity of the medium around the wire of each marked line .

[0030] 2) Extract the signal propagation speed when the signal propagates to the monitoring point where the signal curve of the signal propagation speed of the monitoring points on each marked line changes with the line distance, from the signal curve. , and through the inverse formula of the traveling wave signal propagation speed , calculate the actual dielectric constant of each marked line at the actual propagation speed. .

[0031] Specifically, the traveling wave signal propagation speed is derived from the standard formula of the traveling wave signal propagation speed in the medium , where is the equivalent magnetic permeability of the medium, is the dielectric constant of the medium. The present invention only analyzes a single-layer dielectric layer. When there are multiple different dielectric layers around the transmission line (for example, there is both an insulating material and a metal shielding layer, and there is also an air layer with different humidities outside), the medium needs to be regarded as a composite medium composed of multiple sub-regions with different electromagnetic characteristics, and then the standard formula of the traveling wave signal propagation speed in the medium is corrected. Exemplarily, when the magnetic permeability of the materials of the existing dielectric layers is , calculate the equivalent magnetic permeability of the medium, represents the number of each dielectric layer, , and then substitute it into the propagation speed formula.

[0032] Among them, the relative magnetic permeability of the wire material is the ratio between the equivalent magnetic permeability of the preset wire material and the magnetic permeability of vacuum.

[0033] The electromagnetic characteristics of different media are different, which will cause the phase velocity of the wave propagating in them to change. Specifically, it is manifested as the influence of the relative dielectric constant and the relative magnetic permeability on the phase velocity. In vacuum, the propagation speed of the traveling wave signal, and are the magnetic permeability of vacuum and the dielectric constant of vacuum respectively. In a non-magnetic medium, the phase velocity , where is the speed of light in vacuum, , and are the magnetic permeability of vacuum and the dielectric constant of vacuum respectively, is the relative dielectric constant of the medium relative to vacuum.

[0034] The rated dielectric constant of the traveling wave represents the minimum term of external interference.

[0035] The actual dielectric constant represents the maximum term of external interference.

[0036] The line environment data detection module is used to extract the divergent line segments of each marked line and detect the environmental interference dielectric constant and electromagnetic interference dielectric constant of each marked line.

[0037] Please refer to Figure 3 As shown, in a preferred embodiment, the detection of the environmental interference dielectric constant corresponding to each marked line includes: obtaining the previous adjacent monitoring point to which the divergence point of each marked line belongs within the synchronization time period, and recording the interval to which it belongs as the divergent line segment of each marked line.

[0038] Detect each environmental parameter to which the divergent line segment of each marked line belongs through an environmental sensor, such as temperature , relative humidity , atmospheric pressure , compare it with the corresponding normal value of the corresponding environmental parameter preset for the laying area to which each marked line belongs , and construct a multivariate relationship formula between the environmental factors to which the divergent line segment of each marked line belongs and the dielectric constant , where is the environmental interference dielectric constant of the divergent line segment of the th marked line at temperature , relative humidity and atmospheric pressure , respectively represent the preset reference interference deviations of temperature, relative humidity, and atmospheric pressure, is the temperature coefficient preset for the th marked line, is the humidity coefficient preset for the th marked line, is the pressure coefficient preset for the th marked line.

[0039] Specifically, in an actual line, the propagation speed of the traveling wave signal may be affected by various factors (such as wire material, surrounding medium, environmental factors), resulting in changes at different positions. Therefore, when analyzing the propagation of the traveling wave signal, the influence of external interference factors needs to be excluded.

[0040] Among them, the interference of temperature, humidity, and atmospheric pressure on the dielectric constant around the wire is interrelated, and the combined effect of these environmental factors makes the change of the dielectric constant around the wire more complex. For example, an increase in temperature may cause a change in the humidity of the medium because an increase in temperature will accelerate the evaporation of water or, in some cases, cause the migration of water inside the material. At the same time, a change in atmospheric pressure may also affect humidity. In high-altitude areas (low atmospheric pressure), the water vapor content in the air is relatively low. Therefore, in an actual power wire laying network, the environmental factors in different branch wire areas need to be considered comprehensively.

[0041] Meanwhile, due to the environmental differences in the laying areas of each marked line, there are positive and negative differences in the preset temperature coefficient and pressure coefficient. Exemplarily, when the surrounding environment of a certain marked line is a dielectric material (such as a ceramic capacitor), within a certain temperature range, as the temperature increases, its dielectric constant may increase, and at this time the temperature coefficient is positive. This is because the increase in temperature intensifies the lattice vibration inside the material, enhances the thermal motion of ions, and leads to easier polarization. When the surrounding environment of a certain marked line is some polymer materials, the increase in temperature may cause the dielectric constant to decrease, and at this time the temperature coefficient is negative. This is because the increase in temperature intensifies the movement of polymer molecular chains, increases the distance between molecular chains, reduces the order of the material, and thus reduces the degree of polarization.

[0042] In a further preferred embodiment, the electromagnetic interference dielectric constant is specifically: detecting various other interference parameters belonging to the branch segments of each marked line through sensors, such as electromagnetic field intensity, chemical pollutant concentration, mechanical vibration force, and then constructing the electromagnetic interference dielectric constant belonging to the branch segments of each marked line in the same way as the construction method of the environmental interference dielectric constant belonging to the branch segments of each marked line. 。

[0043] The fault deviation correction and identification module is used to identify each faulty line and each compensation detection line, and analyze the deviation distance of the branch points of each faulty line.

[0044] In a preferred embodiment, the identification of each faulty line and each compensation detection line includes: integrating the environmental interference dielectric constant and the electromagnetic interference dielectric constant belonging to the branch segments of each marked line to obtain the corresponding external interference dielectric constant of the branch segments of each marked line 。

[0045] The actual dielectric constant refers to the data calculated from the traveling wave signal detection results, and the external interference dielectric constant refers to the data obtained by analyzing the on-site environment through sensors.

[0046] Compare the corresponding external interference dielectric constant of the branch segments of each marked line with the actual dielectric constant If the corresponding external interference dielectric constant of the branch segment of a certain marked line is less than the actual dielectric constant, it is determined that there is a self-fault defect in this marked line, and this marked line is recorded as a faulty line, and the branch point of this faulty line is located and corrected through the correction distance calculation formula.

[0047] If the dielectric constant of the external interference corresponding to the branched segment of the marked line is greater than the actual dielectric constant, it is determined that the external interference intensity of the corresponding branched segment of the marked line is excessive, which may cause errors in the detection method of traveling wave signals. Therefore, the marked line needs to be recorded as a compensated detection line and re-detected.

[0048] Each faulty line and each compensated detection line are counted.

[0049] The present invention detects the propagation of traveling wave signals on the support lines of the power wire laying network, deduces the dielectric constant around the corresponding wires of the lines, and at the same time detects the environmental interference around the wires through sensor devices to construct the actual dielectric constant generated by environmental influence. After comparing and locating the position of the branch point, the line fault is identified at the position of the branch point, which increases the convenience of fault location.

[0050] In a further preferred embodiment, the analysis of the deviation distance of the branch points of each faulty line includes: by modifying the distance calculation formula , calculate the corresponding correction distance of the branched segment of each faulty line , where represents the relative magnetic permeability of the wire material preset in the marked line, represents the preset unit interval duration, respectively represent the external interference dielectric constant and the actual dielectric constant corresponding to the branched segment of the marked line, represents the number of each faulty line, .

[0051] Specifically, the signal sent by the monitoring point is only limited to roughly locate the fault in the wire section. The actual branch point may be a certain position on this wire section. Therefore, it is necessary to analyze the position correction of the branch point at the monitoring point position.

[0052] According to the traveling wave signal propagation speed calculation formula, in the case of the magnetic permeability of the wire material, the larger the dielectric constant value, the smaller the traveling wave signal propagation speed value. Therefore, when , it is determined that there is an interference delay effect on the actual propagation speed of the traveling wave signal in the marked line.

[0053] The positioning compensation detection module is used to identify the compensation detection methods of each compensated detection line and perform fault location compensation detection.

[0054] In a preferred embodiment, the compensation detection method for identifying each compensation detection line includes: extracting the environmental interference permittivity and electromagnetic interference permittivity of the divergent line segments of each compensation detection line from the corresponding external interference permittivity and actual permittivity of the divergent line segments of each marked line, and comparing to obtain the difference between the environmental interference permittivity and electromagnetic interference permittivity of the divergent line segments of each compensation detection line. , represents the number of each compensation detection line. .

[0055] If , it is determined that the compensation detection method of this compensation detection line belongs to a first type of compensation detection method, where represents the corresponding permittivity difference interval of the preset first type of compensation detection method.

[0056] If , it is determined that the compensation detection method of this compensation detection line belongs to a second type of compensation detection method, where represents the corresponding permittivity difference interval of the preset second type of compensation detection method. .

[0057] The present invention divides the faulty line and the compensation detection line by comparing the deviation direction of the external interference permittivity and the actual permittivity, and then corrects the position of the fault point of the faulty line, increasing the accuracy of fault position identification.

[0058] In a further preferred embodiment, the first type of compensation detection method includes: counting each compensation detection line belonging to the first type of compensation detection method, denoted as the first type of compensation detection group line.

[0059] Based on the acquisition method of the environmental interference permittivity and electromagnetic interference permittivity of the divergent line segments of each marked line, obtain the difference between the environmental interference permittivity and electromagnetic interference permittivity of the divergent line segments at each monitoring point position on each compensation detection line in the first type of compensation detection group line, and take its average value as the average difference of the interference permittivity of the first type of compensation detection group line.

[0060] Take the average difference of the interference permittivity of the first type of compensation detection group line as the permittivity compensation value, and then add the permittivity compensation value to the actual permittivity of each compensation detection line in the first type of compensation detection group line to obtain its new actual permittivity.

[0061] Based on the content of the line environment data detection module and the fault deviation correction and identification module, re-perform fault detection and positioning on the first type of compensation detection group line according to the new actual permittivity.

[0062] In a further preferred embodiment, the second-class compensation detection method includes: counting each compensation detection line to which the second-class compensation detection method belongs, denoted as the second-class compensation detection population line.

[0063] Detect various power-related parameters of the second-class compensation detection population line through sensors, compare them with the normal values of the corresponding power parameters, and screen out the power parameters in the second-class compensation detection population line whose difference values from the normal values of the corresponding power parameters exceed the preset difference threshold, denoted as the floating parameters of each compensation detection line in the second-class compensation detection population line.

[0064] Obtain the corresponding key power detection parameters of each compensation detection method, match them with the floating parameters of each compensation detection line in the second-class compensation detection population line. If the corresponding key power detection parameter of a certain compensation detection method matches the floating parameter of a certain compensation detection line in the second-class compensation detection population line, then regard this compensation detection method as the compensation detection method of this compensation detection line in the second-class compensation detection population line, and compare to obtain the compensation detection method of the second-class compensation detection population line.

[0065] The floating parameters are such as current, voltage, etc.

[0066] Each compensation detection method is such as the impedance method, the partial discharge detection method, etc. Among them, the corresponding key power detection parameters of the impedance method are current and voltage, and the corresponding key power detection parameter of the partial discharge detection method is voltage.

[0067] The present invention delimits the compensation detection method for the compensation detection line by identifying the difference range between the external interference dielectric constant and the actual dielectric constant, sets the dielectric constant compensation for the actual dielectric constant of the compensation detection line with a smaller difference range, and can effectively correct the small deviation caused by external interference; re-plans the detection method for the compensation detection line with a larger difference range, which can avoid the wrong results caused by severe interference. This processing method based on the difference range can adapt to various interference situations. Whether it is electromagnetic interference, the change of dielectric characteristics caused by temperature and humidity changes, or the change of dielectric constant caused by other unknown factors, corresponding compensation or re-planning measures can be taken to ensure the normal operation of the detection system, so that the detection system can still maintain stable performance in a complex and changeable environment.

[0068] The above content is only an example and illustration of the concept of the present invention. Those skilled in the art of this technology make various modifications or supplements to the described specific embodiments or use similar methods to replace them. As long as they do not deviate from the concept of the invention or exceed the scope defined by the present invention, they should all belong to the protection scope of the present invention.

Claims

1. A power conductor fault location system based on the Internet of Things, characterized in that: The system includes: Traveling wave fault location module: n monitoring points are evenly arranged on each branch line of the power conductor laying network, each marked line and its divergence point in the synchronization time period are identified, and each marked line is numbered , and obtain the dielectric constants around the corresponding conductors of each marked line, including the rated dielectric constant of the traveling wave , actual dielectric constant ; Line environment data detection module: extract the divergent line segments of each marked line, and detect the corresponding environmental interference dielectric constant and electromagnetic interference dielectric constant of each marked line; Fault deviation correction identification module: identifies each fault line and each compensation detection line, and analyzes the deviation distance of the branch point of each fault line; Positioning compensation detection module: identifies the compensation detection method of each compensation detection circuit and performs fault positioning compensation detection.

2. The power conductor fault location system based on the Internet of Things according to claim 1 is characterized in that: The specific process of identifying each marked line and its divergence point within the synchronization time period is as follows: installing a traveling wave sensor at one end point of each branch line to obtain the propagation speed of the traveling wave signal received by each monitoring point on each branch line within the synchronization time period, and constructing a signal curve of the signal propagation speed of the monitoring point on each branch line changing with the line distance; Extract the peak value and valley value of the signal curve belonging to each branch line, make a difference and compare them with the preset over-limit difference value. When the corresponding difference between the peak value and valley value of the signal curve belonging to a branch line is higher than the preset over-limit difference value, the branch line is recorded as a marked line, and the marked lines of the power conductor laying network are obtained; Extract the signal curve of each marked line, and take the peak value of the signal curve of each marked line as the rated value of the signal propagation speed of each marked line in the synchronization time period , and obtain the monitoring point position where the valley value of the signal curve of each marked line is located, which is recorded as the divergence point of each marked line in the synchronization time period.

3. The power conductor fault location system based on the Internet of Things according to claim 2 is characterized in that: The method of obtaining the dielectric constant around the corresponding conductor of each marked line is as follows: 1) Obtaining the relative magnetic permeability of the conductor material preset for each marked line , and obtain the traveling wave signal propagation speed determined by the dielectric constant and magnetic permeability of the vacuum , the traveling wave rated dielectric constant of the medium around each marked line conductor is calculated by the reverse formula of the traveling wave signal propagation speed ; 2) Extract the signal propagation speed when the signal propagates to the monitoring point where the valley value is located from the signal curve of the signal propagation speed of the monitoring point on each marked line as a function of the line distance. The actual dielectric constant of each marked line at the actual propagation speed is calculated by the reverse formula of the traveling wave signal propagation speed .

4. The power conductor fault location system based on the Internet of Things according to claim 1 is characterized in that: The detection of the environmental interference dielectric constant of each marked line includes: detecting the environmental parameters of the diverging line segments of each marked line by an environmental sensor, such as temperature , relative humidity , atmospheric pressure , the corresponding normal values ​​of the corresponding environmental parameters preset in the laying area of ​​each marked line Compare and build the multivariate relationship between the environmental factors and dielectric constants of the divergent line segments of each marked line, and calculate the The divergence line segments of the marked lines are at the temperature , relative humidity and atmospheric pressure Dielectric constant under environmental interference .

5. The power conductor fault location system based on the Internet of Things according to claim 1 is characterized in that: The electromagnetic interference dielectric constant is specifically: by detecting other interference parameters of the divergent line segments of each marked line through sensors, such as electromagnetic field strength, chemical pollutant concentration, and mechanical vibration force, and then constructing the electromagnetic interference dielectric constant of the divergent line segments of each marked line .

6. The power conductor fault location system based on the Internet of Things according to claim 3 is characterized in that: The identification of each fault line and each compensation detection line includes: integrating the environmental interference dielectric constant and the electromagnetic interference dielectric constant of the branch line segment of each marked line to obtain the corresponding external interference dielectric constant of the branch line segment of each marked line; Compare the external interference dielectric constant of the diverging line segments of each marked line with the actual dielectric constant. If the external interference dielectric constant of the diverging line segments of a marked line is smaller than the actual dielectric constant, it is determined that the marked line has its own fault defect, and the marked line is recorded as a faulty line. The diverging point of the faulty line is located and corrected by correcting the distance calculation formula. If the external interference dielectric constant corresponding to the divergent line segment of the marked line is greater than the actual dielectric constant, it is determined that the external interference intensity of the corresponding divergent line segment of the marked line is excessive, so that there may be errors in the traveling wave signal detection method, and then the marked line needs to be recorded as a compensation detection line and re-detected; Statistics of each fault line and each compensation detection line are obtained.

7. The power conductor fault location system based on the Internet of Things according to claim 6, characterized in that: The analysis of the deviation distance of the branch point of each fault line includes: the relative magnetic permeability of the conductor material preset according to the marked line , preset unit interval duration , Dielectric constant of the branch line segment corresponding to external interference and the actual dielectric constant Comprehensively analyze the corresponding correction distances of the branch line segments of each fault line , Indicates the number of each fault line, .

8. The power conductor fault location system based on the Internet of Things according to claim 1, characterized in that: The compensation detection method for identifying each compensation detection circuit includes: extracting the environmental interference dielectric constant and the electromagnetic interference dielectric constant of the branch line segment of each compensation detection circuit, and comparing and obtaining the difference between the environmental interference dielectric constant and the electromagnetic interference dielectric constant of the branch line segment of each compensation detection circuit. , Indicates the number of each compensation detection circuit, ; like , then it is determined that the compensation detection method of the compensation detection circuit belongs to a class of compensation detection methods, in which It represents a preset dielectric constant difference interval corresponding to a type of compensation detection method; like , then it is determined that the compensation detection method of the compensation detection circuit belongs to the second type of compensation detection method, where It represents the corresponding dielectric constant difference range of the preset two-type compensation detection method, .

9. The power conductor fault location system based on the Internet of Things according to claim 8, characterized in that: The first type of compensation detection method includes: Count the compensation detection lines belonging to a type of compensation detection method, and record them as a type of compensation detection group line; Obtain the difference between the environmental interference dielectric constant and the electromagnetic interference dielectric constant of the divergent line segments at each monitoring point position on each compensation detection line in a type of compensation detection group line, and take the average value thereof as the average difference of the interference dielectric constant of the type of compensation detection group line; The average difference of the interference dielectric constants of a type of compensation detection group lines is used as the dielectric constant compensation value, and then the actual dielectric constant of each compensation detection line in the type of compensation detection group lines is added with the dielectric constant compensation value to obtain its newly created actual dielectric constant; Based on the contents of the line environment data detection module and the fault deviation correction identification module, fault detection and positioning are re-performed on a class of compensation detection group lines according to the newly created actual dielectric constant.

10. The power conductor fault location system based on the Internet of Things according to claim 8, characterized in that: The second type of compensation detection method includes: Count the compensation detection lines belonging to the second-category compensation detection method, and record them as the second-category compensation detection group lines; Detecting various power-related parameters of the second-class compensation detection group lines through sensors, comparing them with the normal values ​​of the corresponding power parameters, screening out power parameters whose difference values ​​between the power parameters in the second-class compensation detection group lines and the normal values ​​of the corresponding power parameters exceed the preset difference threshold, and recording them as floating parameters of each compensation detection line in the second-class compensation detection group lines; Obtain the key power detection parameters corresponding to each compensation detection method, and match them with the floating parameters of each compensation detection line in the second-category compensation detection group line. If the key power detection parameters corresponding to a compensation detection method match the floating parameters of a compensation detection line in the second-category compensation detection group line, then use the compensation detection method as the compensation detection method of the compensation detection line in the second-category compensation detection group line, and compare to obtain the compensation detection method of the second-category compensation detection group line.

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