A method and system for visual detection of partial discharge in electric power construction

Abstract

The present invention relates to the field of discharge fault detection, and specifically to a method and system for visual detection of partial discharge in power construction, which collect ultrasonic waves and perform thermal infrared detection on the power construction area to obtain ultrasonic signal data and thermal infrared signal data of the power construction area; determine the distribution of partial discharge fault points in the power construction area based on the ultrasonic signal data; determine the ultrasonic thermal effect characteristics in the vicinity of the partial discharge fault points based on the thermal infrared signal data; estimate the deviation information of the distribution of partial discharge fault points based on the ultrasonic thermal effect characteristics; and correct the deviation information based on the infrared absorption spectrum data of the power construction area to obtain a visual distribution map of partial discharge faults in the power construction area. The present invention can overcome the defect that the spatial distribution of the detected ultrasonic intensity cannot accurately and truly represent the original situation of partial discharge due to the ultrasonic thermal effect, and correct the detection deviation of the partial discharge position.

Description

Technical Field

[0001] The present invention relates to the field of discharge fault detection, and in particular to a method and system for visual detection of partial discharge in power construction. Background Art

[0002] The quantity of power construction projects is huge, involving a large number of electrical equipment and complex electrical wire pipelines. When construction operations are improper or insulation ages and is damaged, faults such as partial discharge will occur. When partial discharge occurs, the electrical equipment or electrical wire pipelines will emit high-voltage electricity, and substances such as ultrasonic waves will be generated during the release process of the high-voltage electricity. Considering that ultrasonic waves have the characteristics of good directivity, strong penetrability, and concentrated energy that is not easy to diverge during transmission, ultrasonic detection of electrical equipment or electrical wire pipelines is an important means for detecting partial discharge in the prior art. By detecting the spatial distribution of ultrasonic intensity, the location where partial discharge occurs can be accurately determined, realizing visual detection of partial discharge.

[0003] As can be seen from the above, visual detection of partial discharge is achieved by detecting ultrasonic intensity, and the thermal effect of ultrasonic waves will seriously affect the accuracy of partial discharge detection. When ultrasonic waves pass through an object, the object will absorb the ultrasonic energy and convert it into heat energy, while the intensity of the ultrasonic waves themselves will decrease; the greater the intensity of the ultrasonic waves themselves, the more significant their thermal effect. When the partial discharge intensity is large, the intensity attenuation of the accompanying ultrasonic waves during transmission due to the thermal effect is also greater, resulting in the fact that the directly detected spatial distribution of ultrasonic intensity cannot accurately characterize the location where partial discharge occurs. It can be seen that how to identify the deviation in the detection of the partial discharge location caused by the thermal effect of the ultrasonic waves accompanying partial discharge and correct the deviation in the detection of the partial discharge location is of great significance for accurately locating partial discharge faults and realizing visual detection of partial discharge faults. Summary of the Invention

[0004] Considering that the thermal effect of ultrasonic waves significantly attenuates the ultrasonic intensity, and the detected spatial distribution of ultrasonic intensity cannot accurately and truly characterize the original situation of partial discharge, resulting in a deviation in the partial discharge location detected by ultrasonic detection, it is necessary to correct the deviation in the partial discharge location by combining the detection of the state of the gas substances accompanying partial discharge to achieve full-range and high-precision partial discharge location in the power construction area. The present invention provides a method for visual detection of partial discharge in power construction, and the method includes the following steps:

[0005] Perform ultrasonic acquisition and thermal infrared detection on the power construction area to obtain ultrasonic signal data and thermal infrared signal data of the power construction area; based on the ultrasonic signal data, determine the distribution of partial discharge fault points in the power construction area;

[0006] Based on the thermal infrared signal data, determine the ultrasonic thermal effect characteristics of the vicinity range of the partial discharge fault point; based on the ultrasonic thermal effect characteristics, estimate the deviation information of the distribution of the partial discharge fault point;

[0007] Based on the infrared absorption spectrum data of the power construction area, correct the deviation information to obtain the visual distribution map of the partial discharge fault in the power construction area.

[0008] Preferably, the ultrasonic acquisition and thermal infrared detection of the power construction area to obtain the ultrasonic signal data and thermal infrared signal data of the power construction area are specifically as follows:

[0009] Conduct a global ultrasonic scan acquisition of the power construction area to obtain the time-domain recurrence characteristics of the ultrasonic intensity change in several scan cycles of the power construction area; based on the time-domain recurrence characteristics of the ultrasonic intensity change, identify the suspected discharge sub-area of the power construction area;

[0010] Conduct directional continuous ultrasonic acquisition and thermal infrared detection on the suspected discharge sub-area to obtain the ultrasonic signal data and thermal infrared signal data of the suspected discharge sub-area; wherein, the ultrasonic signal data includes the time-domain continuous data of the spatial distribution of the ultrasonic intensity in the suspected discharge sub-area; the thermal infrared signal data includes the time-domain continuous data of the spatial distribution of the thermal infrared radiation intensity of each object in the suspected discharge sub-area.

[0011] Preferably, the determination of the distribution of the partial discharge fault point in the power construction area based on the ultrasonic signal data is specifically as follows:

[0012] Perform spatio-temporal frame processing on the time-domain continuous data of the spatial distribution of the ultrasonic intensity in the suspected discharge sub-area to obtain several ultrasonic intensity spatial distribution data frames of the suspected discharge sub-area; perform ultrasonic beam edge recognition and time-domain inversion on the several ultrasonic intensity spatial distribution data frames to obtain the ultrasonic beam transmission path inside the suspected discharge sub-area;

[0013] Perform spatial tracing on the ultrasonic beam transmission path to obtain the distribution of the partial discharge fault point inside the suspected discharge sub-area; wherein, the distribution of the partial discharge fault point includes the spatial occupancy range of the partial discharge fault point inside the suspected discharge sub-area.

[0014] Preferably, the determination of the ultrasonic thermal effect characteristics of the vicinity range of the partial discharge fault point based on the thermal infrared signal data; the estimation of the deviation information of the distribution of the partial discharge fault point based on the ultrasonic thermal effect characteristics is specifically as follows:

[0015] Based on the distribution of the partial discharge fault points, calibrate the contour features of the objects adjacent to the partial discharge fault points; based on the contour features, extract the thermal infrared signal sub-data of the adjacent objects from the thermal infrared signal data;

[0016] Perform heat accumulation location analysis on the thermal infrared signal sub-data to determine the boundary of the part where the ultrasonic thermal effect occurs in the objects adjacent to the partial discharge fault points; based on the part boundary and the spatial occupation range of the partial discharge fault points, estimate the mislocated fault points and their location deviation amounts in the partial discharge fault point distribution.

[0017] Preferably, based on the infrared absorption spectrum data of the power construction area, correct the deviation information to obtain the visual distribution map of the partial discharge faults in the power construction area, specifically:

[0018] Analyze the infrared absorption spectrum data of the distribution range of the partial discharge fault points in the power construction area to obtain the preset gas space movement characteristics of the distribution range of the partial discharge fault points; based on the preset gas space movement characteristics, correct the location deviation amounts of the mislocated fault points in the partial discharge fault point distribution;

[0019] Based on the corrected partial discharge fault point distribution, determine the fault point density and the fault point discharge intensity, and determine the distribution information of the high-voltage breakdown sub-areas in the power construction area, so as to generate the visual distribution map of the partial discharge faults in the power construction area.

[0020] On the other hand, the present invention provides a visual detection system for partial discharge in power construction, and the system includes the following modules:

[0021] An ultrasonic acquisition module, configured to perform ultrasonic acquisition on the power construction area to obtain the ultrasonic signal data of the power construction area;

[0022] A thermal infrared detection module, configured to perform thermal infrared detection on the power construction area to obtain the thermal infrared signal data of the power construction area;

[0023] A partial discharge fault point determination module, configured to determine the distribution of partial discharge fault points in the power construction area based on the ultrasonic signal data;

[0024] A fault point distribution deviation estimation module, configured to determine the ultrasonic thermal effect characteristics in the vicinity of the partial discharge fault points based on the thermal infrared signal data; based on the ultrasonic thermal effect characteristics, estimate the deviation information of the partial discharge fault point distribution;

[0025] A deviation correction module, configured to correct the deviation information based on the infrared absorption spectrum data of the power construction area;

[0026] A visualization map generation module for generating a visualization distribution map of partial discharge faults in the power construction area.

[0027] Preferably, before the ultrasonic acquisition module performs ultrasonic acquisition on the power construction area, it further includes:

[0028] Performing global ultrasonic scanning acquisition on the power construction area to obtain the time-domain reproduction characteristics of the ultrasonic intensity change in the power construction area in a number of scanning cycles; based on the time-domain reproduction characteristics of the ultrasonic intensity change, identifying the suspected discharge sub-areas in the power construction area;

[0029] The ultrasonic acquisition module is used to perform ultrasonic acquisition on the power construction area to obtain the ultrasonic signal data of the power construction area, specifically:

[0030] Performing directional and continuous ultrasonic acquisition on the suspected discharge sub-areas to obtain the ultrasonic signal data of the suspected discharge sub-areas; wherein, the ultrasonic signal data includes the time-domain continuous data of the spatial distribution of the ultrasonic intensity in the suspected discharge sub-areas;

[0031] The thermal infrared detection module is used to perform thermal infrared detection on the power construction area to obtain the thermal infrared signal data of the power construction area, specifically:

[0032] Performing thermal infrared detection on the suspected discharge sub-areas to obtain the thermal infrared signal data of the suspected discharge sub-areas; wherein, the thermal infrared signal data includes the time-domain continuous data of the spatial distribution of the thermal infrared radiation intensity of each object in the suspected discharge sub-areas.

[0033] Preferably, the partial discharge fault point determination module is used to determine the distribution of partial discharge fault points in the power construction area based on the ultrasonic signal data, specifically:

[0034] Performing spatio-temporal frame processing on the time-domain continuous data of the spatial distribution of the ultrasonic intensity in the suspected discharge sub-areas to obtain a number of ultrasonic intensity spatial distribution data frames of the suspected discharge sub-areas; performing ultrasonic beam edge recognition and time-domain inversion on the number of ultrasonic intensity spatial distribution data frames to obtain the ultrasonic beam transmission path inside the suspected discharge sub-areas;

[0035] Performing spatial tracing on the ultrasonic beam transmission path to obtain the distribution of partial discharge fault points inside the suspected discharge sub-areas; wherein, the distribution of partial discharge fault points includes the spatial occupancy range of partial discharge fault points inside the suspected discharge sub-areas.

[0036] Preferably, the fault point distribution deviation estimation module is configured to determine the ultrasonic thermal effect characteristics of the vicinity of the partial discharge fault point based on the thermal infrared signal data; and estimate the deviation information of the partial discharge fault point distribution based on the ultrasonic thermal effect characteristics, specifically:

[0037] Based on the partial discharge fault point distribution, calibrate the contour features of the objects adjacent to the partial discharge fault point; and extract the thermal infrared signal sub-data of the adjacent objects from the thermal infrared signal data;

[0038] Perform heat accumulation localization analysis on the thermal infrared signal sub-data to determine the boundary of the part where the ultrasonic thermal effect occurs in the object adjacent to the partial discharge fault point; and estimate the mislocated fault points and their localization deviation amounts in the partial discharge fault point distribution based on the part boundary and the spatial occupancy range of the partial discharge fault point.

[0039] Preferably, the deviation correction module is configured to correct the deviation information based on the infrared absorption spectrum data of the power construction area, specifically:

[0040] Analyze the infrared absorption spectrum data of the partial discharge fault point distribution range in the power construction area to obtain the preset gas spatial movement characteristics of the partial discharge fault point distribution range; and correct the localization deviation amounts of the mislocated fault points in the partial discharge fault point distribution based on the preset gas spatial movement characteristics.

[0041] The visualization map generation module is configured to generate a visualization distribution map of the partial discharge faults in the power construction area, specifically:

[0042] Based on the partial discharge fault point distribution after correction, determine the high-voltage breakdown sub-region distribution information in the power construction area according to the fault point density and the fault point discharge intensity, and thereby generate a visualization distribution map of the partial discharge faults in the power construction area.

[0043] Compared with the prior art, the present invention has the following beneficial effects:

[0044] Ultrasonic data collection and thermal infrared detection are carried out on the power construction area to obtain ultrasonic signal data and thermal infrared signal data of the power construction area; based on the ultrasonic signal data, the distribution of partial discharge fault points in the power construction area is determined. During the preliminary detection of the power construction area, global ultrasonic scanning is first carried out on the power construction area to identify the suspected partial discharge sub-areas in the power construction area, which can effectively narrow the scope of partial discharge visualization detection, reduce the workload of full-range inspection of the power construction area, and accurately locate at the early stage of partial discharge. The ultrasonic signal data and thermal infrared signal data comprehensively characterize the ultrasonic intensity distribution state generated by partial discharge in the suspected partial discharge sub-area and the thermal infrared radiation intensity distribution state formed after the object receives the ultrasonic wave, providing reliable data for comprehensively characterizing the position of the partial discharge fault point and the deviation existing at the fault point position in the suspected discharge area subsequently.

[0045] Based on the thermal infrared signal data, the ultrasonic thermal effect characteristics in the vicinity of the partial discharge fault point are determined; based on the ultrasonic thermal effect characteristics, the deviation information of the distribution of the partial discharge fault point is estimated. The intensity of the ultrasonic wave will decay after passing through the object due to the thermal effect, causing the edge boundary of the ultrasonic energy in space to contract accordingly, resulting in a corresponding deviation in the position of the partial discharge fault point determined according to the ultrasonic waves detected by the ultrasonic sensor array. By determining the range of the part of the object penetrated by the ultrasonic wave, the action process of the ultrasonic thermal effect in the object and its influence on the deviation of the partial discharge fault point positioning can be determined, facilitating subsequent accurate position correction of the distribution of the partial discharge fault point obtained according to the ultrasonic signal data.

[0046] Based on the infrared absorption spectrum data of the power construction area, the deviation information is corrected to obtain a visual distribution map of the partial discharge faults in the power construction area. The high-voltage electricity released during the partial discharge process in the power construction area will break down the air and generate specific types of gases. By detecting the propagation and diffusion of these specific types of gases to obtain the source of gas diffusion, the position where the partial discharge generating these specific types of gases occurs can be accurately determined. By detecting the infrared absorption peaks of the air in the distribution range of the partial discharge fault point, the specific positions of these specific types of gases in the distribution range of the partial discharge fault point can be determined, thereby correcting the position deviation of the partial discharge fault point within a small space range. In addition, based on the distribution information of the high-voltage breakdown sub-areas in the power construction area, a visual distribution map of the partial discharge faults in the power construction area is generated, which can visually characterize the partial discharge faults in the entire power construction area and achieve full-range and high-precision partial discharge positioning in the power construction area. Description of the Drawings

[0047] To more clearly illustrate the technical solutions in the embodiments of the present invention, the following will briefly introduce the drawings required for the description of the embodiments. Obviously, the 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 drawings can be obtained based on these drawings. Among them:

[0048] Figure 1 It is a flowchart of a method for visual detection of partial discharge in electric power construction provided by the present invention.

[0049] Figure 2 It is a time-frequency diagram corresponding to the change in ultrasonic intensity in a suspected partial discharge sub-region.

[0050] Figure 3 It is a spatial distribution diagram of ultrasonic intensity in a suspected partial discharge sub-region.

[0051] Figure 4 It is a structural diagram of a visual detection system for partial discharge in electric power construction provided by the present invention. Detailed implementation manners

[0052] To make the above objects, features, and advantages of the present invention more obvious and understandable, the following will make a detailed description of the specific implementation manners of the present invention with reference to the drawings. It can be understood that the specific embodiments described herein are only used to explain the present invention, rather than limiting the present invention. Additionally, it should be noted that for the convenience of description, only parts related to the present invention are shown in the drawings, rather than all the structures. Based on the embodiments of the present invention, all other embodiments obtained by those of ordinary skill in the art without creative efforts fall within the protection scope of the present invention.

[0053] The terms "including" and "having" and any variations thereof in the present invention are intended to cover non-exclusive inclusion. For example, a process, method, system, product, or device that includes a series of steps or units is not limited to the listed steps or units, but may optionally further include unlisted steps or units, or may optionally further include other steps or units inherent to these processes, methods, products, or devices.

[0054] Referring to "embodiments" herein means that the specific features, structures, or characteristics described in connection with the embodiments can be included in at least one embodiment of the present invention. The phrase appears in various positions in the specification does not necessarily refer to the same embodiment, nor is it an independent or alternative embodiment mutually exclusive with other embodiments. Those skilled in the art will explicitly and implicitly understand that the embodiments described herein can be combined with other embodiments.

[0055] Please refer to Figure 1As shown, the present invention provides a method for visual detection of partial discharge in electric power construction, and the method includes the following steps:

[0056] S100, perform ultrasonic acquisition and thermal infrared detection on the electric power construction area to obtain ultrasonic signal data and thermal infrared signal data of the electric power construction area; based on the ultrasonic signal data, determine the distribution of partial discharge fault points in the electric power construction area.

[0057] Further, performing ultrasonic acquisition and thermal infrared detection on the electric power construction area to obtain ultrasonic signal data and thermal infrared signal data of the electric power construction area specifically includes:

[0058] Perform global ultrasonic scanning acquisition on the electric power construction area to obtain the time-domain reproduction characteristics of the ultrasonic intensity change in the electric power construction area in a number of scanning cycles; based on the time-domain reproduction characteristics of the ultrasonic intensity change, identify the suspected partial discharge sub-areas in the electric power construction area;

[0059] Perform directional continuous ultrasonic acquisition and thermal infrared detection on the suspected partial discharge sub-areas to obtain ultrasonic signal data and thermal infrared signal data of the suspected partial discharge sub-areas; wherein, the ultrasonic signal data includes the time-domain continuous data of the spatial distribution of the ultrasonic intensity in the suspected partial discharge sub-areas; the thermal infrared signal data includes the time-domain continuous data of the spatial distribution of the thermal infrared radiation intensity of each object in the suspected partial discharge sub-areas.

[0060] The internal space of power construction areas such as power stations and substation transfer stations is vast, the number of power equipment is large, and the layout of power pipelines is complex, making the environment of power construction areas complex. When a partial discharge fault occurs in a power construction area due to human construction errors or aging of equipment lines, the location of the partial discharge fault may be relatively hidden, and no visible phenomena such as sparks or smoke will be caused in the initial stage of partial discharge. In order to detect early partial discharge faults in power construction areas in a timely and full range, robots can be used to enter the interior of power construction areas for inspection. During the inspection process, the robots will simultaneously collect ultrasonic waves and perform thermal infrared detection inside the power construction areas to achieve automated detection of power construction areas. Considering the vast internal space of power construction areas, the time consumed by robots to complete a full inspection of the internal space of power construction areas is also relatively large, which is not conducive to timely discovery of partial discharge faults in power construction areas and cannot efficiently detect power construction areas. Under normal circumstances, the ultrasonic signal content in the internal space of power construction areas can be ignored. Once partial discharge occurs in a certain sub-region of the internal space of a power construction area, ultrasonic waves will be generated during the process of the partial discharge releasing high voltage electricity. The ultrasonic intensity is positively correlated with the partial discharge intensity, and the ultrasonic waves generated by partial discharge will remain in the environment for a period of time. Regardless of the duration of the partial discharge itself, once partial discharge occurs, corresponding ultrasonic signals will inevitably be formed in the environment. According to the relationship between the above-mentioned partial discharge and ultrasonic generation, during the initial detection stage of the power construction area by the robot, as long as the entire area of the power construction area is scanned and collected for ultrasonic waves, the ultrasonic residue situation in the internal space of the power construction area can be determined.

[0061] Specifically, an ultrasonic sensor array built into the robot can be used to perform several global ultrasonic scans on the power construction area. During each global ultrasonic scan, the ultrasonic sensor array will completely scan and detect the ultrasonic intensity distribution information of the entire power construction area within the corresponding scan cycle duration. The ultrasonic intensity distribution information obtained separately within several scan cycle durations is compared in terms of time-domain evolution to obtain the time-domain recurrence characteristics of the ultrasonic intensity change in the power construction area during several scan cycles. The above-mentioned time-domain recurrence characteristics of ultrasonic intensity change refer to the repetitive occurrence characteristics in time of the event of the ultrasonic intensity increasing and then decreasing in each sub-region within the entire power construction area. If the above-mentioned time-domain recurrence characteristics of ultrasonic intensity change indicate that the number of times the ultrasonic intensity increases and then decreases repeatedly in a certain sub-region of the power construction area is greater than or equal to the preset number threshold, it indicates that local discharge may occur periodically in the above-mentioned sub-region, accompanied by the periodic formation of ultrasonic waves. At this time, the above-mentioned sub-region is determined as a suspected discharge sub-region. If the above-mentioned time-domain recurrence characteristics of ultrasonic intensity change indicate that the number of times the ultrasonic intensity increases and then decreases repeatedly in a certain sub-region of the power construction area is less than the preset number threshold, it indicates that the local discharge occurring in the above-mentioned sub-region is an accidental low-probability event. At this time, the above-mentioned sub-region is not determined as a suspected discharge sub-region. During the preliminary detection of the power construction area, a global ultrasonic scan is first performed on the power construction area to identify the suspected discharge sub-regions in the power construction area, which can effectively narrow the scope of local discharge visualization detection, reduce the workload of inspecting the entire power construction area, and can accurately locate the local discharge in the early stage. Considering that there may be significant interference in directly detecting ultrasonic intensity data by the ultrasonic sensor array, and it is impossible to accurately observe its change state in time from the change of the ultrasonic intensity data itself. Therefore, as Figure 2 shown, the ultrasonic intensity data detected by the ultrasonic sensor array is transformed to obtain a time-frequency diagram corresponding to the ultrasonic intensity change, Figure 2 which corresponds to the time-frequency diagram of the suspected discharge sub-region. From Figure 2 it can be seen that the time-frequency diagram of the suspected discharge sub-region clearly reflects the ultrasonic intensity change in the region, and completely presents the situation of the ultrasonic intensity increasing and then decreasing within the corresponding time period. Only when a certain sub-region within the power construction area belongs to the suspected discharge sub-region, the time-frequency diagram corresponding to the ultrasonic intensity change in it will present the situation of increasing and then decreasing occurring multiple times as shown in Figure 2 . When a certain sub-region within the power construction area does not belong to the suspected discharge sub-region, the time-frequency diagram corresponding to the ultrasonic intensity change in it cannot present the situation of increasing and then decreasing occurring multiple times as shown in Figure 2 . It is precisely based on the time-frequency diagrams corresponding to the ultrasonic intensity changes in each sub-region within the power construction area that it is possible to accurately judge whether each sub-region belongs to the suspected discharge sub-region.

[0062] After a discharge event occurs in the suspected electron-emitting area, the ultrasonic waves generated along with the discharge event will be transmitted directionally in the environment. When the ultrasonic waves pass through an object during transmission, a thermal effect will be triggered, and part or all of the ultrasonic energy will be transferred to the object. The temperature of the part of the object that receives the ultrasonic waves will increase, and correspondingly, the ultrasonic intensity will decay, which may cause the ultrasonic sensor array to fail to detect the presence of ultrasonic waves. It can be seen that the ultrasonic thermal effect will affect the detection accuracy and reliability of ultrasonic waves. In actual partial discharge detection, if only the ultrasonic signal is detected, false detection or missed detection is very likely to occur. Considering that the ultrasonic waves generated when a partial discharge occurs in the suspected electron-emitting area can visually indicate the partial discharge phenomenon more comprehensively and accurately, it is necessary to rely on directional and continuous ultrasonic acquisition of the suspected electron-emitting area, and use the collected ultrasonic signal data to comprehensively and basically characterize the partial discharge phenomenon corresponding to the suspected electron-emitting area; then use the thermal infrared signal data obtained by performing thermal infrared detection on the suspected electron-emitting area to calibrate the deviation of the partial discharge fault location determined based on ultrasonic acquisition and analysis, so as to accurately determine the false detection situation that occurs only by detecting the ultrasonic signal.

[0063] Specifically, the ultrasonic sensor array and thermal infrared sensor array built in the robot can be used to perform directional and continuous ultrasonic acquisition and thermal infrared detection on the suspected electron-emitting area, so as to obtain the time-domain continuous data of the spatial distribution of ultrasonic intensity in the suspected discharge area and the time-domain continuous data of the spatial distribution of the thermal infrared radiation intensity of each object in the suspected discharge area; among them, the above-mentioned time-domain continuous data of the spatial distribution of ultrasonic intensity refers to the data of the continuous change of the ultrasonic intensity value over time at each position point within the entire range of the suspected electron-emitting area; the above-mentioned time-domain continuous data of the spatial distribution of thermal infrared radiation intensity refers to the data of the continuous change of the thermal infrared radiation intensity value over time formed by each object in the suspected electron-emitting area after receiving ultrasonic waves. The ultrasonic signal data and thermal infrared signal data comprehensively characterize the ultrasonic intensity distribution state generated by partial discharge in the suspected electron-emitting area and the thermal infrared radiation intensity distribution state formed by the object after receiving ultrasonic waves, providing reliable data for comprehensively characterizing the position of the partial discharge fault point in the suspected discharge area and the deviation existing at the above-mentioned fault point position.

[0064] Furthermore, based on the ultrasonic signal data, determine the distribution of partial discharge fault points in the power construction area, specifically:

[0065] Perform spatio-temporal frame processing on the time-domain continuous data of the spatial distribution of ultrasonic intensity in the suspected electron-emitting area to obtain several ultrasonic intensity spatial distribution data frames of the suspected electron-emitting area; perform ultrasonic beam edge recognition and time-domain inversion on the several ultrasonic intensity spatial distribution data frames to obtain the ultrasonic beam transmission path inside the suspected electron-emitting area;

[0066] Spatially trace the ultrasonic beam transmission path to obtain the distribution of partial discharge fault points inside the suspected discharge sub-region; among them, the distribution of partial discharge fault points includes the spatial occupancy range of partial discharge fault points inside the suspected discharge sub-region.

[0067] When partial discharge occurs in the suspected discharge area, the partial discharge will induce the generation of ultrasonic waves. The generated ultrasonic waves will be transmitted in the environment, and the ultrasonic waves will form corresponding transmission paths. If the transmission process of the ultrasonic waves is continuously detected, whenever the ultrasonic waves are transmitted to a certain position point in the environmental space, there will be corresponding ultrasonic energy at the above position point. Therefore, the time-domain continuous data of the spatial distribution of ultrasonic intensity in the suspected discharge sub-region completely characterizes the change of the energy distribution position formed by the ultrasonic waves in the environmental space during the transmission process along the corresponding transmission path. In this way, by inverting the change of the above energy distribution position, the actual transmission path of the ultrasonic waves generated by the partial discharge accompanied by the partial discharge inside the suspected discharge sub-region can be obtained. As Figure 3 shown, a two-dimensional spatial distribution diagram of ultrasonic intensity in the suspected discharge sub-region at a certain time point is shown. The suspected discharge sub-region is divided into a grid shape, and each grid unit has a corresponding ultrasonic intensity distribution. The darker the color of the grid unit in the figure, the greater the ultrasonic intensity, and the lighter the color of the grid unit, the smaller the ultrasonic intensity. It can be understood that the ultrasonic energy is more concentrated in the grid unit with the darkest color in the suspected discharge sub-region, that is, the grid unit with the darkest color is most likely to have a partial discharge fault point. In order to further confirm the location of the partial discharge fault point, the time-domain continuous data of the spatial distribution of ultrasonic intensity in the suspected discharge sub-region is processed by time-space frame division to obtain several spatial distribution data frames of ultrasonic intensity in the suspected discharge sub-region. Each spatial distribution data frame of ultrasonic intensity characterizes the spatial distribution of ultrasonic intensity in the suspected discharge sub-region at the corresponding moment point. The above spatial distribution of ultrasonic intensity reflects the spatial distribution of ultrasonic energy in the suspected discharge sub-region at the corresponding moment point, and the above spatial distribution of ultrasonic energy corresponds to the edge of the ultrasonic beam. By identifying the edge of the ultrasonic beam and time-domain inversion of several spatial distribution data frames of ultrasonic intensity, the boundary line of the ultrasonic beam edge at each moment during the directional continuous ultrasonic acquisition is obtained, and the boundary lines of the ultrasonic beam edge at all moments during the directional continuous ultrasonic acquisition are subjected to time-domain inversion, and then the ultrasonic transmission path inside the suspected discharge sub-region can be obtained. Then, spatially trace the ultrasonic transmission path, determine the starting point of the ultrasonic transmission path, and use the above starting point as the partial discharge fault point inside the suspected discharge sub-region, so as to combine the starting points of all ultrasonic transmission paths to obtain the distribution of partial discharge fault points, accurately determine the spatial occupancy range of partial discharge fault points inside the suspected discharge sub-region, and comprehensively locate the partial discharge fault points within the entire power construction area.

[0068] S200: Determine the ultrasonic thermal effect characteristics of the vicinity of the partial discharge fault point based on the thermal infrared signal data; estimate the deviation information of the distribution of the partial discharge fault point based on the ultrasonic thermal effect characteristics.

[0069] Further, determine the ultrasonic thermal effect characteristics of the vicinity of the partial discharge fault point based on the thermal infrared signal data; estimate the deviation information of the distribution of the partial discharge fault point based on the ultrasonic thermal effect characteristics, specifically:

[0070] Calibrate the contour characteristics of the objects adjacent to the partial discharge fault point based on the distribution of the partial discharge fault point; extract the thermal infrared signal sub-data of the adjacent objects from the thermal infrared signal data based on the contour characteristics.

[0071] Conduct heat accumulation localization analysis on the thermal infrared signal sub-data to determine the boundary of the part where the ultrasonic thermal effect occurs in the objects adjacent to the partial discharge fault point; estimate the mislocated fault points and their localization deviation amounts in the distribution of the partial discharge fault point based on the part boundary and the spatial occupancy range of the partial discharge fault point.

[0072] As can be seen from the above analysis, ultrasonic waves have strong penetrability. The ultrasonic waves detected by the ultrasonic sensor array built in the robot may be the ultrasonic waves that have passed through the objects inside the suspected partial discharge sub-region. At this time, the intensity of the ultrasonic waves will attenuate after passing through the objects due to the thermal effect, resulting in a corresponding contraction of the edge boundary of the ultrasonic wave energy in space, leading to a corresponding deviation in the position of the partial discharge fault point determined based on the ultrasonic waves detected by the ultrasonic sensor array. Generally speaking, the greater the intensity attenuation of the ultrasonic waves due to the thermal effect, the greater the position deviation of the determined partial discharge fault point. And during the process of the ultrasonic waves passing through the objects, their own energy will be transferred to the objects due to the thermal effect. The more energy the ultrasonic waves transfer to the objects, the higher the temperature of the part inside the objects where the ultrasonic waves pass through, the greater the thermal infrared radiation intensity of the corresponding part, and the larger the range of the emitted thermal infrared radiation. According to the action process of the above ultrasonic thermal effect on the objects and its influence on the localization deviation of the partial discharge fault point, the localization deviation of the partial discharge fault point can be determined by performing thermal infrared detection and analysis on the objects.

[0073] Specifically, based on the positions of the partial discharge fault points included in the distribution of the partial discharge fault points, perform full-range image recognition on the suspected partial discharge sub-region to calibrate the contour characteristics of the objects adjacent to the partial discharge fault point; among them, the full-range image of the suspected partial discharge sub-region is obtained by the camera built in the robot; the contour characteristics of the objects adjacent to the partial discharge fault point can be, but are not limited to, the external contour characteristics of the objects whose distance from the partial discharge fault point is less than or equal to the preset distance threshold. Then, taking the contour characteristics of the adjacent objects as the reference, extract the thermal infrared signal sub-data of the adjacent objects from the thermal infrared signal data, so that the above thermal infrared signal sub-data can comprehensively and accurately reflect the thermal infrared radiation signal intensity of the entire range of the adjacent objects.

[0074] Considering that the thermal infrared signal sub-data can comprehensively and accurately reflect the thermal infrared radiation signal intensity of adjacent objects in the full range, as the ultrasonic wave generated by partial discharge passes through the object, part of its own energy is transferred to the object due to the thermal effect. The heat is continuously accumulated at the part of the object penetrated by the ultrasonic wave, and the coverage range of the thermal effect of the ultrasonic wave in the object is consistent with the range of the part of the object penetrated by the ultrasonic wave. By determining the range of the part of the object penetrated by the ultrasonic wave, the action process of the thermal effect of the ultrasonic wave in the object and its influence on the positioning deviation of the partial discharge fault point can be determined. Specifically, the heat accumulation positioning analysis is carried out on the thermal infrared signal sub-data to obtain the range of the part where the heat accumulation in the object increases, so as to determine the boundary of the part where the ultrasonic thermal effect occurs in the object adjacent to the partial discharge fault point. Then, based on the above part boundary, the inversion calculation is carried out on the space occupation range of the partial discharge fault point determined before, estimating the mispositioned fault points in the partial discharge fault point distribution and their positioning deviation amounts, and accurately calibrating the positioning deviation information in the partial discharge fault point distribution.

[0075] S300, based on the infrared absorption spectrum data of the power construction area, correct the deviation information to obtain the visual distribution map of the partial discharge faults in the power construction area.

[0076] Furthermore, based on the infrared absorption spectrum data of the power construction area, correct the deviation information to obtain the visual distribution map of the partial discharge faults in the power construction area, specifically as follows:

[0077] Analyze the infrared absorption spectrum data of the distribution range of the partial discharge fault points in the power construction area to obtain the preset gas space movement characteristics of the distribution range of the partial discharge fault points; based on the preset gas space movement characteristics, correct the positioning deviation amounts of the mispositioned fault points in the partial discharge fault point distribution;

[0078] Based on the distribution of the partial discharge fault points after the correction is completed, determine the high-voltage breakdown sub-region distribution information in the power construction area by the fault point density and the fault point discharge intensity, and generate the visual distribution map of the partial discharge faults in the power construction area accordingly.

[0079] During the partial discharge process in the power construction area, the high-voltage electricity released will break down the air, causing the oxygen in the air to react and / or causing oxygen to react with nitrogen, generating specific types of gases such as ozone and / or nitric oxide. These specific types of gases have good stability and can remain in the air and spread. The concentration and spread of these specific types of gases are only related to the partial discharge intensity, and their influence by the external environment or objects can be ignored. By detecting the spread of these specific types of gases, the source of gas spread can be obtained, and the location of the partial discharge that generates these specific types of gases can be accurately determined. Generally speaking, these specific types of gases have unique infrared absorption peaks. By detecting the infrared absorption peaks of the air in the distribution range of the partial discharge fault point, the specific location of these specific types of gases in the distribution range of the partial discharge fault point can be determined.

[0080] Specifically, analyze the infrared absorption spectrum data of the distribution range of the partial discharge fault points in the power construction area to obtain the infrared absorption peaks of the air at different positions in the distribution range of the partial discharge fault points; among them, the above infrared absorption spectrum data can be detected by the infrared spectrum sensor built in the robot. Compare the above infrared absorption peaks with the infrared absorption peaks of specific types of gases to determine whether the air at different positions contains specific types of gases, so as to obtain the preset gas spatial movement position change characteristics in the distribution range of the partial discharge fault points. Invert the above preset gas spatial movement position change characteristics to obtain the generation source position of the specific type of gas, and use this to correct the positioning deviation of the fault points with incorrect positioning in the partial discharge fault point distribution. In addition, based on the partial discharge fault point distribution after correction, determine the fault point density and the fault point discharge intensity, and determine the high-voltage breakdown sub-region distribution information of the power construction area; among them, the greater the fault point density and / or the greater the fault point discharge intensity, the greater the probability of high-voltage breakdown events occurring in the corresponding area range; then, based on the high-voltage breakdown sub-region distribution information of the power construction area, generate a visual distribution map of the partial discharge faults in the power construction area, which can visually represent the partial discharge faults in the entire range of the power construction area, and achieve full-range and high-precision partial discharge positioning of the power construction area.

[0081] Please refer to Figure 4 As shown, the present invention provides a visual detection system for partial discharge in power construction, and the system includes the following modules:

[0082] An ultrasonic acquisition module, which is used to acquire ultrasonic waves in the power construction area to obtain ultrasonic signal data of the power construction area;

[0083] A thermal infrared detection module, which is used to perform thermal infrared detection on the power construction area to obtain thermal infrared signal data of the power construction area;

[0084] The partial discharge fault point determination module is used to determine the distribution of partial discharge fault points in the power construction area based on ultrasonic signal data;

[0085] The fault point distribution deviation estimation module is used to determine the ultrasonic thermal effect characteristics in the vicinity of the partial discharge fault point based on the thermal infrared signal data; and estimate the deviation information of the partial discharge fault point distribution based on the ultrasonic thermal effect characteristics;

[0086] The deviation correction module is used to correct the deviation information based on the infrared absorption spectrum data of the power construction area;

[0087] The visualization map generation module is used to generate a visualization distribution map of partial discharge faults in the power construction area.

[0088] Furthermore, before the ultrasonic acquisition module performs ultrasonic acquisition on the power construction area, it also includes:

[0089] Perform global ultrasonic scanning acquisition on the power construction area to obtain the time-domain recurrence characteristics of the ultrasonic intensity change in the power construction area during several scanning cycles; identify the suspected partial discharge sub-areas in the power construction area based on the time-domain recurrence characteristics of the ultrasonic intensity change;

[0090] The ultrasonic acquisition module is used to perform ultrasonic acquisition on the power construction area to obtain the ultrasonic signal data of the power construction area. Specifically:

[0091] Perform directional continuous ultrasonic acquisition on the suspected partial discharge sub-areas to obtain the ultrasonic signal data of the suspected partial discharge sub-areas; among them, the ultrasonic signal data includes the time-domain continuous data of the spatial distribution of the ultrasonic intensity in the suspected partial discharge sub-areas;

[0092] The thermal infrared detection module is used to perform thermal infrared detection on the power construction area to obtain the thermal infrared signal data of the power construction area. Specifically:

[0093] Perform thermal infrared detection on the suspected partial discharge sub-areas to obtain the thermal infrared signal data of the suspected partial discharge sub-areas; among them, the thermal infrared signal data includes the time-domain continuous data of the spatial distribution of the thermal infrared radiation intensity of each object in the suspected partial discharge sub-areas.

[0094] Furthermore, the partial discharge fault point determination module is used to determine the distribution of partial discharge fault points in the power construction area based on the ultrasonic signal data. Specifically:

[0095] Perform spatio-temporal frame processing on the time-domain continuous data of the spatial distribution of the ultrasonic intensity in the suspected partial discharge sub-areas to obtain several ultrasonic intensity spatial distribution data frames of the suspected partial discharge sub-areas; perform ultrasonic beam edge recognition and time-domain inversion on the several ultrasonic intensity spatial distribution data frames to obtain the ultrasonic beam transmission path inside the suspected partial discharge sub-areas;

[0096] Perform a spatial trace on the ultrasonic beam transmission path to obtain the distribution of partial discharge fault points inside the suspected discharge sub-region; among them, the partial discharge fault point distribution includes the spatial occupancy range of the partial discharge fault points inside the suspected discharge sub-region.

[0097] Furthermore, the fault point distribution deviation estimation module is used to determine the ultrasonic thermal effect characteristics of the vicinity of the partial discharge fault points based on the thermal infrared signal data; based on the ultrasonic thermal effect characteristics, estimate the deviation information of the partial discharge fault point distribution, specifically:

[0098] Based on the partial discharge fault point distribution, calibrate the contour characteristics of the objects adjacent to the partial discharge fault points; based on the contour characteristics, extract the thermal infrared signal sub-data of the adjacent objects from the thermal infrared signal data;

[0099] Perform heat accumulation localization analysis on the thermal infrared signal sub-data to determine the boundary of the part where the ultrasonic thermal effect occurs in the objects adjacent to the partial discharge fault points; based on the part boundary and the spatial occupancy range of the partial discharge fault points, estimate the mislocated fault points and their positioning deviation amounts in the partial discharge fault point distribution.

[0100] Furthermore, the deviation correction module is used to correct the deviation information based on the infrared absorption spectrum data of the power construction area, specifically:

[0101] Analyze the infrared absorption spectrum data of the partial discharge fault point distribution range in the power construction area to obtain the preset gas spatial movement characteristics of the partial discharge fault point distribution range; based on the preset gas spatial movement characteristics, correct the positioning deviation amounts of the mislocated fault points in the partial discharge fault point distribution.

[0102] The visualization map generation module is used to generate a visualization distribution map of partial discharge faults in the power construction area, specifically:

[0103] Based on the corrected partial discharge fault point distribution, determine the high-voltage breakdown sub-region distribution information in the power construction area according to the fault point density and the fault point discharge intensity, and thus generate a visualization distribution map of partial discharge faults in the power construction area.

[0104] The power construction partial discharge visualization detection system of the present invention corresponds to the operation and effect of the above-mentioned power construction partial discharge visualization detection method, and the power construction partial discharge visualization detection system will not be repeated here.

[0105] Through the description of the above embodiments, those skilled in the art can clearly understand that each embodiment can be implemented by means of adding a necessary general hardware platform, and of course, it can also be implemented by a combination of hardware and software. Based on such an understanding, the essence of the above technical solution, or the part that contributes to the prior art, can be embodied in the form of a computer product. The present invention can adopt the form of a computer program product implemented on one or more computer-usable storage media (including but not limited to disk memories, CD-ROMs, optical memories, etc.) that contain computer-usable program codes.

[0106] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention, rather than to limit them. Other embodiments can also be adopted; although the present invention has been described in detail with reference to the foregoing embodiments, those of ordinary skill in the art should understand that they can still modify the technical solutions recorded in the foregoing embodiments, or perform equivalent replacements on some of the technical features; and these modifications or replacements do not cause the essence of the corresponding technical solutions to deviate from the spirit and scope of the technical solutions of the embodiments of the present invention.

Claims

1. A method for visual detection of partial discharge in electric power construction, characterized in that, The method includes the following steps: Perform ultrasonic acquisition and thermal infrared detection on the power construction area to obtain ultrasonic signal data and thermal infrared signal data of the power construction area; based on the ultrasonic signal data, determine the distribution of partial discharge fault points in the power construction area; Based on the thermal infrared signal data, determine the ultrasonic thermal effect characteristics in the vicinity of the partial discharge fault points; based on the ultrasonic thermal effect characteristics, estimate the deviation information of the distribution of the partial discharge fault points, specifically: Based on the distribution of the partial discharge fault points, calibrate the contour characteristics of the objects adjacent to the partial discharge fault points; based on the contour characteristics, extract the thermal infrared signal sub-data of the adjacent objects from the thermal infrared signal data; Perform heat accumulation localization analysis on the thermal infrared signal sub-data to obtain the range of the parts where heat accumulation increases inside the adjacent objects, thereby determining the boundary of the parts where the ultrasonic thermal effect occurs in the objects adjacent to the partial discharge fault points; based on the part boundary, perform inverse calculation on the spatial occupancy range of the partial discharge fault points to estimate the mislocated fault points and their positioning deviation amounts in the distribution of the partial discharge fault points; Based on the infrared absorption spectrum data of the power construction area, correct the deviation information to obtain the visual distribution map of the partial discharge faults in the power construction area.

2. The method according to claim 1, wherein The performing ultrasonic acquisition and thermal infrared detection on the power construction area to obtain ultrasonic signal data and thermal infrared signal data of the power construction area is specifically: Perform global ultrasonic scanning acquisition on the power construction area to obtain the time-domain reproduction characteristics of the ultrasonic intensity change in the power construction area in a number of scanning cycles; based on the time-domain reproduction characteristics of the ultrasonic intensity change, identify the suspected discharge sub-areas in the power construction area; Perform directional continuous ultrasonic acquisition and thermal infrared detection on the suspected discharge sub-areas to obtain ultrasonic signal data and thermal infrared signal data of the suspected discharge sub-areas; wherein, the ultrasonic signal data includes the time-domain continuous data of the ultrasonic intensity spatial distribution in the suspected discharge sub-areas; the thermal infrared signal data includes the time-domain continuous data of the thermal infrared radiation intensity spatial distribution of all objects in the suspected discharge sub-areas.

3. The method according to claim 2, wherein The determining the distribution of the partial discharge fault points in the power construction area based on the ultrasonic signal data is specifically: Perform spatio-temporal frame processing on the time-domain continuous data of the ultrasonic intensity spatial distribution in the suspected discharge sub-areas to obtain a number of ultrasonic intensity spatial distribution data frames of the suspected discharge sub-areas; perform ultrasonic beam edge recognition and time-domain inversion on the number of ultrasonic intensity spatial distribution data frames to obtain the ultrasonic beam transmission path inside the suspected discharge sub-areas; Perform spatial tracing on the ultrasonic beam transmission path to obtain the distribution of the partial discharge fault points inside the suspected discharge sub-areas; wherein, the distribution of the partial discharge fault points includes the spatial occupancy range of the partial discharge fault points inside the suspected discharge sub-areas.

4. The method according to claim 1, wherein based on the infrared absorption spectrum data of the power construction area, correcting the deviation information to obtain a visual distribution map of the partial discharge fault in the power construction area, specifically: analyzing the infrared absorption spectrum data of the distribution range of the partial discharge fault points in the power construction area to obtain the preset gas space movement characteristics of the distribution range of the partial discharge fault points; based on the preset gas space movement characteristics, correcting the positioning deviation amount of the fault points with incorrect positioning in the distribution of the partial discharge fault points; based on the distribution of the partial discharge fault points after correction, determining the high-voltage breakdown sub-region distribution information of the power construction area by the density of the fault points and the discharge intensity of the fault points, and generating a visual distribution map of the partial discharge fault in the power construction area accordingly.

5. A partial discharge visualization detection system for electric power construction, characterized in that, The system includes the following modules: an ultrasonic acquisition module, configured to perform ultrasonic acquisition on a power construction area to obtain ultrasonic signal data of the power construction area; a thermal infrared detection module, configured to perform thermal infrared detection on a power construction area to obtain thermal infrared signal data of the power construction area; a partial discharge fault point determination module, configured to determine the distribution of partial discharge fault points in the power construction area based on the ultrasonic signal data; a fault point distribution deviation estimation module, configured to determine the ultrasonic thermal effect characteristics of the vicinity of the partial discharge fault points based on the thermal infrared signal data; and estimate the deviation information of the distribution of the partial discharge fault points based on the ultrasonic thermal effect characteristics, specifically: calibrating the contour characteristics of the objects adjacent to the partial discharge fault points based on the distribution of the partial discharge fault points; extracting the thermal infrared signal sub-data of the adjacent objects from the thermal infrared signal data based on the contour characteristics; performing heat accumulation location analysis on the thermal infrared signal sub-data to obtain the range of the parts where heat accumulation increases inside the adjacent objects, thereby determining the boundary of the parts where the ultrasonic thermal effect occurs in the objects adjacent to the partial discharge fault points; and performing inverse calculation on the spatial occupancy range of the partial discharge fault points based on the part boundary to estimate the fault points with incorrect positioning in the distribution of the partial discharge fault points and their positioning deviation amounts; a deviation correction module, configured to correct the deviation information based on the infrared absorption spectrum data of the power construction area; a visual map generation module, configured to generate a visual distribution map of the partial discharge fault in the power construction area.

6. The system according to claim 5, wherein before the ultrasonic acquisition module performs ultrasonic acquisition on the power construction area, it further includes: performing global ultrasonic scan acquisition on the power construction area to obtain the time-domain recurrence characteristics of the ultrasonic intensity change in several scan cycles of the power construction area; and identifying the suspected discharge sub-region of the power construction area based on the time-domain recurrence characteristics of the ultrasonic intensity change; the ultrasonic acquisition module is configured to perform ultrasonic acquisition on the power construction area to obtain ultrasonic signal data of the power construction area, specifically: Perform directional and continuous ultrasonic acquisition on the suspected electron-emitting area to obtain ultrasonic signal data of the suspected electron-emitting area; wherein, the ultrasonic signal data includes time-domain continuous data of the spatial distribution of ultrasonic intensity in the suspected electron-emitting area. The thermal infrared detection module is used to perform thermal infrared detection on the power construction area to obtain thermal infrared signal data of the power construction area, specifically: Perform thermal infrared detection on the suspected electron-emitting area to obtain thermal infrared signal data of the suspected electron-emitting area; wherein, the thermal infrared signal data includes time-domain continuous data of the spatial distribution of the thermal infrared radiation intensity of each object in the suspected electron-emitting area.

7. The system according to claim 6, wherein The partial discharge fault point determination module is used to determine the distribution of partial discharge fault points in the power construction area based on the ultrasonic signal data, specifically: Perform spatio-temporal frame processing on the time-domain continuous data of the spatial distribution of ultrasonic intensity in the suspected electron-emitting area to obtain a number of ultrasonic intensity spatial distribution data frames of the suspected electron-emitting area; perform ultrasonic beam edge recognition and time-domain inversion on the number of ultrasonic intensity spatial distribution data frames to obtain the ultrasonic beam transmission path inside the suspected electron-emitting area. Perform spatial tracing on the ultrasonic beam transmission path to obtain the distribution of partial discharge fault points inside the suspected electron-emitting area; wherein, the distribution of partial discharge fault points includes the spatial occupancy range of partial discharge fault points inside the suspected electron-emitting area.

8. The system according to claim 5, wherein The deviation correction module is used to correct the deviation information based on the infrared absorption spectrum data of the power construction area, specifically: Analyze the infrared absorption spectrum data of the distribution range of partial discharge fault points in the power construction area to obtain the preset gas spatial movement characteristics of the distribution range of partial discharge fault points; based on the preset gas spatial movement characteristics, correct the positioning deviation amount of the fault points with incorrect positioning in the distribution of partial discharge fault points. The visualization map generation module is used to generate a visualization distribution map of partial discharge faults in the power construction area, specifically: Based on the distribution of partial discharge fault points that have been corrected, determine the high-voltage breakdown sub-region distribution information of the power construction area by the fault point density and the fault point discharge intensity, and generate a visualization distribution map of partial discharge faults in the power construction area accordingly.

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